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Cctv newsOn the afternoon of November 26th, the National Health and Wellness Commission held a press conference to introduce the prevention and treatment of respiratory diseases in winter in China.Ying Xuyu, deputy secretary and deputy director of the Party Committee of the Health and Wellness Committee of Hangzhou City, Zhejiang Province, said at the meeting that to optimize outpatient services, one is to increase the supply of medical services, and outpatient services should be "open to all". General hospitals, specialized hospitals, grass-roots community health service centers and other medical institutions at all levels and types of respiratory clinics, fever clinics, etc. should be normalized and opened, and the service hours should be extended according to needs, and clinics should not be stopped at will, and conditions should be created to open night clinics. All outpatient opening information is published in a timely and accurate manner.

The second is to establish a dynamic monitoring and deployment mechanism, and medical resources should be deployed as much as possible. Through the urban brain data cockpit, real-time monitoring of medical institutions outpatient and emergency treatment volume, waiting time and other data, scientific setting of early warning indicators, such as load overload, real-time start of emergency adjustment mechanism. Medical institutions should dig deep into the potential of human resources and mobilize qualified administrative staff in wards and transferred posts to support respiratory clinics; Make full use of the strength of hospitals led by urban medical associations and county medical associations to support primary medical institutions.

The third is to improve medical service measures, and the service process "should be simplified as much as possible". Optimize the medical service process, improve the service processes such as registration, examination and medicine collection, reduce unnecessary links, and let patients "check while waiting for treatment"; Pay after seeing a doctor, no need to pay for the whole process of seeing a doctor, and pay by credit after seeing a doctor to minimize the waiting time of patients in the process of seeing a doctor. At the same time, increase medical auxiliary personnel, maintain medical order and improve the efficiency of diagnosis and treatment.

　　Since 1976, he began to study high critical temperature superconductors, and his name has always been closely related to superconductivity for half a century.

　　As one of the pioneers who started the research of high-temperature superconductivity in China, he first proposed to explore high-temperature superconductors in China, and first proposed to set up a national superconducting laboratory … … It has made indelible contributions to China’s superconducting development from starting, catching up and being among the forefront of the world when it is 50 years behind.

　　In the history of superconductivity research for more than a hundred years, there have been two major breakthroughs in high-temperature superconductivity. He and his collaborators have made important achievements, namely, independently discovering high-temperature superconductors in liquid nitrogen temperature region and discovering a series of iron-based high-temperature superconductors above 50K and creating a record of 55 K.

　　Today, science and technology have a profound impact on the country’s future and destiny. In the field of high-temperature superconductivity, he and his team are constantly attracting groups of young people and pushing China’s high-temperature superconductivity research to the forefront of the world.

　　He said, "The core science and technology can only be done by ourselves. It is necessary to combine personal interests with the destiny of the country, cooperate in tackling key problems, and serve the country. "

　　He said, "I would like to be a paving stone and let young friends make great achievements."

　　He is the winner of the highest national science and technology award in China in 2016, academician of China Academy of Sciences and physicist Zhao Zhongxian.

　　Sidenote 1: When an old superconducting expert meets an old director of the compilation bureau.

　　There are four old people among the guests who participated in the recording of "Example" this time. Apart from the special guest Mr. Niu Benlao and a veteran member of the National Survey Team, Mr. Yu Qiqing, who was the first to take part in the Everest survey in China, he is the former director of the Central Compilation Bureau, Mr. Song Shusheng, and academician Zhao Zhongxian, a superconducting expert.

　　During the filming, Academician Zhao Zhongxian and Mr. Song Shusheng sat together. One of them leaned back thoughtfully, and the other sat upright and had a straight body. I thought that two doyen in different fields would care for each other and sit together as a pair of quiet handsome men, but there was a special dialogue:

　　"I have read Anti-Turin Theory." Academician Zhao said.

　　"This book is good, it expounds the three components of Marxism, and it is also relatively easy to read … …” Mr. Song Lao also turned around and began to communicate seriously.

　　Compared with HTS, a high-cold scientific research topic, the old academician Zhao Zhongxian himself gives people a much more vivid feeling.

　　He is humorous and honest and frank. From time to time, he uses his loud voice to open the "Tucao" mode, which causes people next to him to laugh. He has a wide range of daily hobbies, and he tries skiing and drifting. Literature, photography, cultural relics in museums and good music in China and the West are all his interests. His heart is firm and soft, with the rigor, strictness and seriousness of scientists, and he always thinks about students and the life and future development of young people.

　　Under his "independent" face, there is warmth, hope, swallows whispering, and flowers blooming from tree to tree.

　　Sidenote 2: "Scientific research is like playing mahjong"

　　When the program was recorded, Academician Zhao Zhongxian was asked: "You have done one thing all your life, and it is something that 99% people in the world don’t understand. How did you persist? " The old gentleman’s spit mode was turned on.

　　"I think many people don’t understand the fun of scientific research, saying that scientific research is a bench and asking me why I can persist for decades. If you like playing mahjong, do you think you can’t stick to it? " The old man said.

　　"Scientific research will encounter such difficulties, but just like people playing mahjong, as long as they are interested, they still want to play if they fail, not to mention that we often draw cards, small and big!"

　　In his mind, the "bench" of scientific research is not always cold. Despite many difficulties, in the process of research, the more you do, the more interested you are. Interest is very important. You are addicted and very willing to do it. At the same time, it is also an encouragement to make new progress in our work. Insisting on doing something has a sublimation of understanding on the basis of long-term accumulation.

　　In a speech, he mentioned how he became interested in science: in 1956, the state proposed "marching into science." As an imaginative and energetic middle school student, he participated in extracurricular activities of the school physics group and read popular science magazines, which led him to like science. He said: Many years later, I gradually realized that understanding science is a kind of enjoyment, which can gain new knowledge, arouse curiosity and enhance interest.

　　He was admitted to China University of Science and Technology in 1959. He said that at that time, many students were willing to study science and engineering, which was the call of the state and very fashionable. Popular majors include atomic bombs, semiconductors, etc. "I remember that the cover of the admissions brochure of the University of Science and Technology of China is the rocket. I think it is this that attracted many students, including me, to apply for China University of Science and Technology. It should be said that the call of the country made many people in our generation choose science and technology. "

　　He said that it is the best choice to combine personal interests with livelihood, and he happened to be very lucky.

　　Sidenote 3: I think it is very important to settle down and do things.

　　In the process of chatting with Mr. Niu Ben, when he mentioned some "short and fast" phenomena in the film industry, Mr. Zhao Zhongxian’s tucao mode was opened again:

　　Now there are so many scientific and technical personnel and teams all over the country. I think it takes a person or a team ten years, or twenty years to solve an important scientific problem or a core technical problem. Does that add up?

　　He said, don’t be eager for quick success, set a long-term goal. "Now these young people have a good foundation, because their education is very complete, their equipment is world-class and their funds are sufficient. I think the current conditions are very good, and the key is to settle down and do things. "

　　He believes that "scientific research is a natural and rising process. You have a group of people who have found the right direction and made unremitting efforts in a down-to-earth manner, and will always make discoveries that are beneficial to the progress of human civilization. " As long as all of us can settle down and concentrate on our work, instead of catching up with the "trend" to do things of the same nature, short-term and quick success, our country’s science and technology will develop faster and better.

　　He said, "I have only done one thing in my life, that is, exploring superconductors and conducting research on superconducting mechanisms. If everyone in our society persists in doing one thing, many problems can be solved. "

　　Sidenote 4: "Academician Zhao speaks the scientific research party class very well."

　　During a chat, Academician Zhao Zhongxian chatted, "I have both Chinese and English versions of The Supreme Leader’s Talks on Governing the Country, and some places in the English version are more clear than the Chinese version."

　　Teacher Dong, the assistant, is sitting on the side. "Academician Zhao speaks the scientific research party class very well."

　　On July 19th, at the China Academy of Sciences’ theme activity of "Patriotism and Dedication, Being the Pioneer of the Times", Academician Zhao Zhongxian was invited to give a special party class to the delegates.

　　He talked about the patriotism, dedication, scholarship and self-cultivation of the older generation of scientists, and that after entering China University of Science and Technology, he was inspired by the knowledge and spirit of the older generation, and gradually changed his love for science when he was young into a sense of responsibility and mission in scientific research.

　　He said that the older generation of scientists taught not only knowledge, but also spirit. In his study and practice, he constantly understood the essence of these famous predecessors’ scholarship, and gradually realized that scientific research needs to take root, and long-term persistence and accumulation will be sublimated in understanding, so as to seize opportunities and accumulate wealth.

　　He said that his 40-year persistence benefited from the stable environment, and he grew up under the inspiration of the spirit of the old Red Army and the patriotic dedication of the older generation of scientists. The most comforting thing is "I gave".

　　He hopes that young friends can settle down and concentrate on their work. "One generation does the work of another generation, and several generations of teachers and students cultivate it to realize the rooting of Chinese science." He also believes that they have the ambition and ability to contribute to building a world-class science and technology power and the progress of human civilization.

　　Sidenote 5: Why can you do one thing all your life?

　　"I have faith and am interested in science."

　　During my brief contact with Academician Zhao Zhongxian, the words "faith" and "interest" impressed me the most. These two words have accompanied his life’s choices and supported his scientific research career for decades.

　　In 1956, the state proposed "marching into science". As an imaginative and energetic middle school student, he took part in extracurricular activities of the school physics group, read popular science magazines, and gradually became fond of science.

　　In 1959, he was admitted to China University of Science and Technology, and listened to the lectures and reports of famous teachers and the relationship between science and technology and the fate of the country. He began to feel that he was not only fond of science, but also had a sense of responsibility and mission.

　　In 1972, China Academy of Sciences won more than 20 places to study abroad, and he was selected to go to Cambridge University in England for further study after applying for superconductivity. He enjoys the experimental work of "nine to ten" and is always full of passion. Seeing the gap in contact with international counterparts, he began to move towards the field of high temperature superconductivity.

　　China, who is in a great hurry, returned to China to lead his team to build their own experimental equipment. The conditions were so hard that he beat mice under the covers. He was still optimistic that his relative disadvantage was not so great. "Compared with other scientific research, the exploration of superconducting materials does not need particularly advanced and complicated instruments. I am willing to make full use of the existing conditions to carry out a project."

　　After decades of high-temperature superconducting research, he felt the regret that he was beaten to the top by one step, and he also experienced the joy of seizing the opportunity when the international competition was the fiercest. I have experienced the frenzied scene of the "Rock Music Festival in Physics" which lasted for more than 7 hours, and I have also been under great pressure to be questioned because of the many achievements of raw materials and impurities used in experimental samples. Or sit on the bench day after day, or add honor to your success. Between ups and downs, his interest remains, his faith remains, and his "initial heart" has never changed.

　　For half a century, he has always been interested in and curious about science as a teenager. "Doing scientific research is like playing mahjong," he said. In the research process, despite many difficulties and addiction, the more you do it, the more interested you are and the more willing you are to do it. Just like mahjong clubs and cards, every progress in work is also encouragement. "

　　Faith is more like a flower in his heart when it is chilly in spring. He said that insisting on doing something will lead to the sublimation of understanding on the basis of long-term accumulation. In day-to-day scientific research, he sees the charming charm of superconductivity, firmly believes that there will be a breakthrough in superconductivity, and firmly believes that his research has great scientific significance and application value, and can contribute to this country, nation and human civilization.

　　He said that a country’s scientific and technological strength can’t be bought with money, and it can only be based on itself. It is necessary to combine personal interests with the destiny of the country, tackle the problem with teeth, and serve the country with knowledge.

　　China Meteorological News correspondent Liu Shouyu reporter Deng Minjia

　　In the early morning of July 7, there was a rainstorm in Fuliang County, Jingdezhen City, Jiangxi Province. As of 20: 00 on the 7th, there was heavy rain in the county, and the precipitation in the upper reaches of Fuliang Town passed through Gongqiao Town, Jiangcun Township and other places exceeded 250 mm, and the water level of Changjiang River soared.

　　Will such heavy rainfall affect the safety of people in low-lying areas? Do you want to transfer people? The county government and township leaders are worried.

　　At 14: 56 on the 7th, the meteorological bureau of Fuliang County released the first local rainstorm red warning signal this year. The release of this rainstorm red warning triggered the whole network release mechanism of the county red warning. At 15: 44, all mobile phone users in the county received the red warning message of rainstorm.

　　At the same time, the meteorological and hydrological departments, after joint consultation, judged that the Changjiang River would have a flood exceeding the warning level of 4 meters, which immediately blew the whistle of the county’s large-scale emergency transfer of people in low-lying areas.

　　In the Old Town Village of Fuliang Town, Yu Shunfa, a meteorological information officer, immediately reported to the two committees of the village after receiving the rainstorm red warning signal. The two committees of the village organized village cadres, backbone militia and party member to help the masses transfer. As of 20: 00 that night, there were 320 households with 1,351 people transferred from Old Town Village.

　　"Thank you so much!" On July 8, Dengsheng Wang, a villager who moved to safety before the flood, took Yu Shunfa’s hand and thanked him again and again.

　　At 3 am on the 8th, the flood peak water level of Changjiang River reached 33.14 meters, exceeding the warning water level by 4.64 meters, and the tributaries such as Jianxi River and Xiaobeigang experienced super-historical floods. When the flood peak reached Fuliang Town, the low-lying area was covered with Wang Yang. After dawn, Dengsheng Wang rushed to the hillside near his home and saw that the second floor of his home had been soaked in the flood.

　　During the rainstorm, Fuliang Town and nearly 20 townships including Jiangcun Township, Wanggang Township, Jinggongqiao Town and Legong Township urgently organized personnel transfer. As of 0: 00 on the 8th, 495 houses collapsed and damaged in Fuliang County due to the disaster, and 23,136 people were transferred urgently. Due to timely warning and effective prevention, there were no casualties.

　　(Source: China Meteorological News, July 13, 2020 Second Edition Editor: Zhang Lin)

　 　 [XCAR Deep Observation Original]

　 　 Foreword:In the previous article, we talked about the topic of "China brand collective counterattack", but mainly talked about the "big guy" in China brand, including the "four big and four small" in state-owned car companies and private car companies in the first-line camp. This issue will continue this topic, but the goal has been changed from "big guy" to "small guy". The so-called rising tide lifts all boats, the continuous expansion of China automobile market, and the improvement of the overall technical level will also bring opportunities to those "small guy" automobile enterprises in China market. "Small boats are easy to turn around". If they respond quickly enough and find the right development direction, these "small heads" can also overtake in corners. Inadvertently, you will suddenly find that their growth rate is much faster than you think. Let’s take a look at several representative car companies.

　 　 ● Zotye automobile

　　　　Speaking of Zotye, there seems to be no sense of existence for a long time. The initial impression is that SUV model that looks like Toyota Terui, and the car name is still changing from 2008 to 5008, but the model has not changed. The first judgment is that this car company has no strength of independent technology development. In addition, it seems that there is not much ambition after a long period of obscurity. In fact, among private car companies, Zotye started not too late, and it was almost the same as BYD’s entry into the automobile field, both in 2003. Like BYD, Zotye had a long history before it entered the automobile field, but its old business was not electronics, but hardware.

　　　　Zotye Automobile’s predecessor was the Great Wall Hardware Machinery Factory, which was established in 1994 and located in Yongkang, Zhejiang Province, where the private economy was very developed. Since then, the Great Wall Hardware Machinery Factory has been renamed Tieniu Group, which has experienced rapid growth and subsequent industrial integration. In 2003, Tieniu Group entered the automobile field after acquiring the shares of Jinma, which produces key automobile parts, and established Zotye Holdings, with Wu Jianzhong as the chairman.

　 　　By chance, Zotye Automobile bought a Toyota TERIOS production line sold by a Taiwan Province automobile company due to financial problems, and gained the capacity of vehicle production. But since then, it has faced the same problems as all private cars — — The qualification of vehicle production was initially achieved through cooperation with Chengdu Xindadi Automobile, but after all, it was an expedient measure. In March 2007, Tieniu Group broke through many obstacles and successfully acquired 70% of the shares of Jiangnan Automobile Manufacturing Co., Ltd., thus taking Jiangnan Alto to its subsidiary and "buying" a car "birth certificate" of its own.

　　　　The bumpy road is somewhat similar to the initial stage of Geely and BYD, but the process is more tortuous, which also honed the indomitable will of Zotye Automobile. In the first five years of its establishment, Zotye had only one product such as 5008. The product line was thin and the lack of independent development capability was the biggest bottleneck. Since then, Zotye Auto has thought of introducing mature overseas technology platforms. In 2008, Zotye bought some relatively old technology platforms and production lines of Fiat Auto, such as the early wide-body MPV Dream Deborah, and it was reported that Zotye bought out the four production platforms of M/P/D/L from Fiat, and Palio, which was once produced in Nanjing Fiat, will also be produced in Zotye Factory.

　　　　After purchasing the technology platform from Fiat, Zotye’s product line finally expanded, and since then, it has also launched Langlang and Langjun based on Fiat Palio and Siena. Although it is an old platform, Zotye has carried out independent design and transformation, which is also the consistent practice of Zotye to launch new cars since then.

　 　 With the technical support of Fiat, at the Shanghai Auto Show in 2011, Zotye’s product line suddenly broke out, and a large number of previously unavailable models appeared on the booth, covering many fields such as mini-cars, compact cars and SUVs, and adopted a brand-new letter+number naming method.

　 　 The imitation traces of Lang Lang and Lang Jun introduced by Zotye in the early days are very obvious, and the independent design is not mature enough, with a strong "cottage" atmosphere. In addition, Zotye is not good at marketing and its market performance is relatively general. The real turning point is the launch of Zotye Z300 and the joining of Xia Zhibing, former general manager of BYD in 2012.

　　　　Zotye Z300 has greatly surpassed Zotye’s previous products in terms of design and interior. Its appearance is fashionable and generous, and the interior is also very advanced. Coupled with the large body size and low price, the outstanding products offset the lack of brand power and achieved good sales results. In addition, after Xia Zhibing became the president of Zotye Automobile, he was fully responsible for the management of production, technology and sales. Zotye’s product development and positioning, as well as subsequent marketing, have all reached a higher level, and Zotye’s development has also entered a fast track.

　　　　In 2013, Zotye Automobile sold more than 134,000 vehicles, an increase of more than 40% compared with 2012. At the end of 2013, another heavyweight model of Zotye, Zotye T600, went on the market. This model, which looks like "Volkswagen Touareg", is quite controversial. However, for a car company like Zotye, which originally lacked brand power, barbaric growth is sometimes an essential stage. The market finally gave the answer. The monthly sales of Zotye T600 is about 5,000, and it has entered the mainstream camp of China brand SUVs.

　　　　In 2014, Zotye introduced the Z500, which has got rid of the shadow of imitation in appearance, and the design can be said to be outstanding, fashionable and sporty, and equipped with a 1.5T engine to match the CVT gearbox. This model has reached the middle and upper reaches of China brand in all aspects, which makes people sit up and take notice.

　　　　At this year’s Shanghai Auto Show, Zotye once again brought surprises, and launched a brand-new medium and large-sized car Z700. This flagship model is somewhat Audi A6 in design, but it is not a naked imitation, but has added many independent design elements. And the interior technology and configuration have a good performance, and the 1.8T and 2.0T power is also a selling point. In addition, another urban SUV model, Damai X5, is also very interesting, with mature design and an estimated price of 80,000 yuan.

　　　　It is worth mentioning that Zotye has also made great achievements in the field of new energy. In addition to the previously launched Zhidou electric vehicle, the auto show also launched a brand-new Zotye E200/ sesame E30 electric vehicle, which will be launched in September this year. The design is very interesting and can meet the daily needs of urban transportation. Zotye entered the new energy market very early, and electric taxis have been piloted in Hangzhou for many years, which has accumulated a lot of experience and is also very prescient.

　　　　Zotye’s success lies in the successful grasp of the domestic market demand. For example, after having a mature technology platform, it puts more energy into improving the design level. It has to be said that the design level of Zotye’s new car has been in the middle and upper reaches of the China brand, leaving a good first impression on consumers. In addition, the body size is also very advantageous compared with competitors at the same level. Coupled with rich configuration and a price that is close to the people, the product’s competitiveness is excellent.

　　　　Some people may say that if it’s just beautiful in appearance but lacking in core competitiveness, isn’t it a vase? But the fact is, in this era of hard work, will you choose a car with excellent performance, but will it be ugly enough to affect your mood when you go out? Moreover, with the foundation of Fiat technology, Zotye’s core technology foundation is still good, and it is a bit wrong to call it a "vase"!

　　Soda music is a very good music playing app. When we listen to songs with it, we can also set the sound quality according to our preferences, so as to improve the listening experience. How to operate it? Let’s study together!

　　Introduction of sound quality setting method for soda music playback

　　Click on soda music.

　　Click on mine.

　　Click the settings icon.

　　Click play online Sound Quality.

　　Choose the appropriate sound quality according to your needs.

　　Ok, that’s all for today’s sharing. Collect it quickly. More exciting things are not to be missed!

　　　 Hail warning signals are divided into three levels, which are represented by yellow, orange and red respectively.

　　(A) the hail yellow warning signal

　　Icon:　

　　Standard: scattered hail may or has appeared in some areas within 6 hours, which may cause certain losses.

　　Forecast terms: forecast … … (Time), … … There will be scattered hail, which may cause some losses.

　　Defense guide:

　　1 local people’s governments at all levels, relevant departments and units shall do a good job in hail prevention and response according to their duties; The meteorological department started the preparation of artificial hail suppression operation and chose the opportunity to carry out the operation;

　　2. Strengthen crop protection measures and properly protect outdoor items or equipment such as cars that are vulnerable to hail attacks;

　　3. People should not go out at will, and outdoor pedestrians should take refuge in safe places, and don’t stay outdoors or in open places; Driving in the field should stop at an avoidable place as soon as possible;

　　4. Pay attention to the lightning disaster accompanied by hail weather.

　　(2) Hail orange warning signal

　　Icon:　

　　Standard: Hail weather may occur within 6 hours and may cause hail disaster.

　　Forecast terms: forecast … … (Time), … … There will be hail weather, which may cause hail disaster.

　　Defense guide:

　　1 local people’s governments at all levels, relevant departments and units shall, in accordance with their duties, do a good job in the emergency work of hail prevention; The meteorological department should prepare for the artificial hail suppression operation and choose the opportunity to carry out the operation;

　　2. Outdoor workers should temporarily stop work and take shelter indoors; Primary schools and kindergartens suspend outdoor activities to ensure the safety of students and children going to and from school;

　　3. Properly protect outdoor items or equipment that are vulnerable to hail attacks, and park cars in safe places such as garages;

　　4. Avoid going out and ensure that the elderly and children stay at home; Outdoor pedestrians take refuge in a safe place;

　　5. Lightning often happens with hail at the same time. Outdoor personnel should not enter isolated buildings, or stay in tall buildings, chimneys, telephone poles and big trees, but should take refuge in strong and lightning-proof places.

　　(3) Hail red warning signal

　　Icon:　

　　Standard: there is a great possibility of hail within 2 hours, and it may cause heavy hail disaster.

　　Forecast terms: forecast … … (Time), … … There will be hail weather, which may cause heavy hail disaster.

　　Defense guide:

　　1. The local people’s governments at all levels, relevant departments and units shall, in accordance with their duties, do a good job in the emergency and rescue of hail prevention, and the meteorological department shall carry out artificial hail prevention operations in a timely manner;

　　2. Stop all outdoor activities and guide people to a safe place; Primary and secondary schools and kindergartens take protective measures to ensure the safety of students and children in and out of school;

　　3. In case of hail during driving, stop at a safe place and sit in the car and wait for the hail to stop;

　　4. Personnel should not go out to ensure that the elderly and children stay at home; Outdoor pedestrians immediately go to a safe place to escape;

　　5. Indoor doors and windows should be closed, and outdoor items susceptible to hail, lightning and strong winds should be protected and placed; The vehicle is parked in a safe place such as a garage; Timely drive poultry and livestock into places with roofs;

　　6. Lightning often occurs with hail at the same time. Outdoor personnel should not enter isolated buildings, or stay in tall buildings, chimneys, telephone poles and big trees, but should take refuge in strong and lightning-proof places.

On October 28th, the "New Release on Long Life" was held in Hangzhou. FAW Pentium cooperated with Baoli, a world-renowned IP pony, and officially launched the 222km long-life model of Pentium Pony-Smart Horse and Lightning Horse, with the prices of 36,900 yuan and 39,900 yuan respectively. The price range of the whole car system covers a variety of choices of 24,900-39,900 yuan. Both new models have the longest cruising range of 222km in their class, and provide two charging methods: slow charging and fast charging. At the press conference, FAW Pentium simultaneously launched five kinds of car purchase promotions.

In product design, the vehicle provides more than 100 personalized customization options to meet the individual needs of different users. In addition, the Pentium pony has a flexible body design, which is convenient for turning and parking, and is suitable for urban transportation. In terms of energy consumption, Pentium pony has lower power consumption, which helps to reduce the travel cost of users. In terms of safety, the vehicle adopts high-strength cage body and IP68 waterproof design.

The Pentium Pony Long Life Edition has been upgraded in four aspects. In terms of battery life, the Pentium Pony Long Life Edition has the longest cruising range of 222km in its class, which makes the tide tour in the city unimpeded and the free travel on weekends is no longer limited. At the same time, the new car has also upgraded the fast charging function to make charging more arbitrary, and the combination of efficient fast charging and economical slow charging provides more convenience for users’ travel.

In terms of function, the new model has upgraded the fast charging function, which shortens the short charging time, and the combination of efficient fast charging and economical slow charging provides more choices.

In terms of power, the new car is equipped with 30kW mainstream high-power motor of the same class and ramp auxiliary function. Even the goddess can easily control high-frequency climbing scenes such as overhead and underground garage, and enjoy driving fun. The upgrade of intelligence should not be underestimated. The remote car control function of APP is fully optimized, so that users can grasp the state of vehicles anytime and anywhere, feel the warmth and coldness in advance, and enjoy comfortable space when getting on the bus.

In terms of safety, the new car adopts BMS battery management system and IP68 waterproof and dustproof battery. After more than 100 rigorous tests, the safety and reliability of the battery are ensured. At the same time, the new car has also obtained the "Certificate of Quality for Children’s Enjoy Cockpit" issued by China Automobile Center, which has performed well in allergen testing, restricted substances testing, high-temperature VOC testing, seat antibacterial and bacteriostatic testing, etc. It is a safe choice for traveling with a baby.

A white paper on Pentium pony users was also released at the event site, which revealed the different usage scenarios and expectations of pony owners for vehicles. According to the data of the Association, the sales volume of Pentium Pony has increased significantly since its listing. The retail sales in September and October exceeded 10,000 units for two consecutive months, making it a new hot model in the micro-electricity market.

The sales volume of Pentium Pony is not only due to its product strength, but also related to its marketing strategy. The brand has successfully attracted the attention of young users and won a lot of traffic and popularity through a series of gameplay such as Meng You endorsement, tide reform activities and fan parties.

The cooperation between Pentium Pony and Pony Baoli has further enhanced the brand’s popularity and influence. As a well-known IP popular in more than 70 countries around the world, Xiaoma Baoli has joined hands with Pentium Xiaoma to bring together the super-high traffic of both. During the activity, the Pony Doll performed an interactive performance, integrating the "five good" products of Pentium Pony.

In a word, the release of Pentium Pony’s long-life car has expanded the commuting scope and provided diversified and personalized travel options. More people find their own fun and convenience in this car.

There are various detailed explanations about the personalized recommendation algorithm of Netease Cloud Music on the Internet, but the official has never appeared! In order to solve users’ curiosity about the algorithm behind the daily recommended song list, we broke into the product and technology department of Netease Cloud Music Headquarters, held technical experts hostage, and spit out all our doubts.

This article is transferred from: The Power of Machines | Utoda

Old irons, do you know what day it is today?

Knowing that we should say happy holidays, we can’t forget to wait for the singles assigned by the state in the cold kennel.(as if I wasn’t talking about myself).

This morning, when I found that the dog food scattered by my circle of friends had been enough for one year, I still turned on Netease Cloud Music, trying to find the same kind in the lively comment area: another group of single dog people.

Unexpectedly, in addition to a "special interview for the first year of singles", the first song recommended to me every day turned out to be:

The Best Day of My LifeBest day of my life.

……

Well, the lyrics "I won’t give up on myself, don’t wake me up, this is the best day of my life", which makes me seriously doubt that the personality recommendation of Netease Cloud Music has penetrated the normal life of all single dog users:

"Don’t always stay in the comment area, please find your own happiness before coming next year. Otherwise, as soon as the Year of the Dog is over, your title will become’ single pig’. "

Happy Valentine’s Day and Happy Year of the Dog.

On the Zhihu, two questions, "What is the song list recommendation algorithm of Netease Cloud Music" and "What’s good about Netease Cloud Music", occupy the third and eighth place in the hot topic of Netease Cloud Music respectively.

To a large extent, the first question has made the second question.

Perhaps Netease Cloud Music has a variety of reasons for its one-sided praise on Zhihu.Some people say that they have hired a large number of water forces. If so, it should be a heavy investment. I won’t tell you that the communities of the two platforms overlap greatly)However, the quality of the song list is hard, and the personality recommendation is relatively accurate compared with the domestic competing products, which is one of the key reasons for some users to develop into Netease Cloud Music diehard fans.

And, the first question can also explain why you will see a lot of comments such as "Japanese push first", "Japanese push second" and "Japanese push +FM simultaneous recommendation" in the comment area of many songs.

However, it is not very appropriate for some people to compare Netease Cloud Music to "a paradise for independent and minority music lovers". Re-exposing those songs that have been ignored by the public to your eyes is often the role of technology behind the scenes.

Just like you downloaded a song from Jay Chou today, will the system push you another popular song with a similar style in Jay Chou the next day, or push an unpopular song with a similar style, which will make you feel more novel?

There is some truth in this answer.

However, it is a bit surprising. Netease Cloud Music has never officially disclosed its recommendation algorithm and product application details. But this does not prevent the public from being interested in the process of integrating their technology and products.

Therefore, the algorithm model and AI application in Netease Cloud Music have basically been ripped apart by Zhihu users.

You can find a great answer and speculation in the Zhihu topic "What is the song list recommendation algorithm of Netease Cloud Music?"(The high praise answer in it is not too clear than the media reports, and it is easy to understand.).

The reason why we want to visit Xu Jia, a data mining engineer and product manager of Netease Cloud Music, is not so much to uncover the secret of the algorithm as to verify it before.(including on the Internet)All kinds of guesses, as well as help users answer the doubts arising from the use of Netease cloud music.

Basic algorithm: people are divided into groups

In fact, the personalized recommendation algorithm of Netease Cloud Music is similar to the basic recommendation algorithm applied in today’s headlines, station B and many O2O e-commerce platforms. This has been certified by the Xu family, which is the kind of basic algorithm we are familiar with:

This algorithm is attributed to the invention of Amazon engineers-if a customer buys this thing, he may also buy another thing.

Simply put,The prediction standard of this algorithm depends on the similar consumption patterns between people.For example, I like these two songs, and they are also in your song list, so there may be other songs I like in your song list.

The above statement is only easy to understand.In fact, collaborative filtering algorithms should be divided into two categories: user-based and project-based (single).

1. Based on users:I have a high similarity with Xiao Ming’s collection of songs, so on the basis of judging that our tastes are similar, I can recommend Xiao Ming the singles in my collection that she hasn’t collected.

Image source: data mining workers

2, based on the project (single):That is, the user’s preference for a song is used as a vector to calculate the similarity between singles. After comparing the similarity, we recommend a single to another user according to this user’s historical preference.

For example, Xiao Xin downloaded two singles, Courage and Little Love Song, while Xiao Yi downloaded Courage, Darkness and Little Love Song, while Xiao Yi downloaded Courage …

According to the historical preferences of these users, Netease Cloud Music can judge that Courage is similar to Little Love Song, and those who like Courage may also like Little Love Song, so they can recommend Little Love Song to Xiaoyi.

Image source: data mining workers

In short, if you still find it difficult to understand the algorithm of "collaborative filtering", you can just remember one word: people are divided into groups.

It’s a crooked building here: it is this recommendation model, which is essentially based on the similarity of users’ preferences, that invisibly makes users form a community of "chatting with each other" while listening to music.

Therefore, Shen Bowen did not regard "it may develop into the largest dating website in China in the future" as a nonsense joke. Instead, I think that this social trend based on music preferences is more reliable than the current dating platform:

Curiosity Daily has done a survey before. What are the main reference standards for human beings to find their soul mates? -it’s music taste.

"Birds of a feather flock together" under the neural network model

It can be seen that this recommendation algorithm is absolutely indispensable to the support of user historical data. Collaborative filtering algorithm is very powerful when the amount of data is huge and clean enough.

On the other hand, if I am a new user, or I use Netease Cloud Music very infrequently. In other words, in the case of scarce data, how can Netease Cloud Music know my taste?

This cold start problem means the inevitability of cross-use of different algorithm models. Perhaps the following second category of algorithms can eliminate this obstacle to some extent.

• Content-based recommendation algorithm.

This is a recommendation method that focuses on distinguishing the essence of single content, and it is regarded as "birds of a feather flock together".

Sander Dieleman, one of the founders of Spotify content recommendation model, a world-famous music streaming platform.(now a DeepMind research scientist)In a blog post titled "The Application of Convolutional Neural Network in Music Recommendation", I specifically explained the errors when using a single collaborative filtering algorithm:

1. Because this algorithm not only includes the information of users and consumption patterns,There is no information about the recommended single itself. Therefore, popular music is easier to be recommended than unpopular music because the former has more data. And this kind of recommendation is often hard to surprise.

2. Based on collaborative filtering of items (single songs),There is also a problem, that is, the content heterogeneity under similar usage patterns.

For example, if you listen to all the songs in a new album, but except the title song, other episodes, covers and remixes may not be typical works of singers, then collaborative filtering will be biased because of these "noises" at this time.

of course，Its biggest problem is that "without data, everything is invalid".

Therefore, the content-based recommendation algorithm is more like a supplement to the above shortcomings of collaborative filtering algorithm-if there is not a lot of user data, or if we want to listen to unpopular songs, we can only find the answer from the music itself.

Two experts, Xu Jia and Shen Bowen, made it clear that Netease Cloud Music adopted a complex content-based algorithm to solve these problems. But unfortunately, the two did not explain the specific details too much.

Therefore,According to our guess, they should use the same method as streaming media platforms such as Spotify and Youtube-using deep learning to build audio-based recommendation models..

First of all, if you want to compare the content differences between singles, there are too many dimensions, such as artist and album information, lyrics, melody and rhythm of music itself, boasting in the comment area, VIP downloading songs, paying or not, and so on.

As you can imagine, this is a huge amount of calculation. But calculating the total amount of violence is a method …

Therefore, so many features should be mapped into the low-dimensional hidden variable space by feature embedding and dimensionality reduction methods.(Like the picture below).

It is conceivable that in this space, each song can have a coordinate, and the coordinate value is multiple coded information including audio characteristics and user preferences.

Then, if we directly predict the exact position of a song in this low-dimensional space, it will also clarify the representation of this song.(including user preference information).

In this way, it can be recommended to the right audience without historical usage data.

Therefore, it is a way that many streaming media are taking to master the hidden characteristics mapped from a large number of song data sources and user behavior data, and then establish a neural network prediction model based on audio characteristics and train the network with short audio clips. (The specific method can be to look through Sander Dieleman’s paper. If you know this, tell us a lesson! )

Of course, in the process of training the network, engineers will still pass the "discard"（Dropout）And other methods to reduce the standard deviation between the hidden representation of filtering model and audio prediction.(Don’t let the data set be too discrete)And this is mainly to reduce the influence of song popularity on the recommendation system.

That’s right, that’s why you can receive more minority song recommendations.

Of course, any of the above algorithms will actually be based on a certain "similarity".

For example, Netease Cloud Music also applies the machine learning ranking model, which is still based on user behavior data and similarity.(It is also a very common model).

Reflected in the application, in popular terms, the first song in your "Daily Recommended" song list is usually the one that the system thinks matches your preferences the most. "Many people often shout’ Day Push First’ in the comment area, and its significance is still quite great."

In Zhihu, there is a recommendation model "Potential Factor Matrix" mentioned by Big V, but Xu Jiaze thinks it is out of date, and few people use it now.

Calculation method-how do we calculate the similarity of our song list?

According to the Xu family, Netease Cloud Music mainly uses two measurement methods:

Euclidean distance and cosine similarity.

The blog of a technical expert in CDSN has explained the difference between them very clearly.(below)：

From the CDSN technology blog named Ying.

The former is regarded as two points in the coordinate system to calculate the distance between the two points.

For example, when data A and B in the above figure are regarded as points in the coordinate diagram, their similarity is the absolute distance dist between two points.(A,B).

The latter is regarded as two vectors in the coordinate system to calculate the included angle between the two vectors.

For example, cosθ in the figure, the smaller the included angle, the higher the similarity.

You will find that, still on this picture, if the position of B remains unchanged and the position of point A continues to extend in the opposite direction of the line from A to the origin, the cosine angle between A and B will remain unchanged forever, but the absolute distance between the two points has changed.

This difference makes them need to be used in different data analysis models.

Xu explained that Euclidean distance, which can highlight the absolute difference of numerical values, is often used in calculating the similarity of songs themselves.

For example, 10,000 people like A songs and 20,000 people like B songs. Because the sample size is large enough, all users’ preferences for songs can be regarded as the same intensity, then the European distance can be directly used to calculate.

Under the European distance, users’ preferences for songs can all be considered as the same score, which can simplify the calculation of song similarity.

The cosine similarity is more about distinguishing differences from the user’s preference direction.

For example, Netease Cloud Music can use this method to rate content through users.(There are different scoring weights such as download, collection, search and uninterested)To distinguish the similarity of users’ interests.

In short, combining the above algorithms and calculation methods, Netease Cloud Music’s personality recommendation has a good reputation among the public.

But this kind of "not bad", if it can be achieved only by technology, I am afraid that Amazon’s business in China will not be so bad(I’m actually voicing its interface).

Frankly speaking, even the best algorithm has its shortcomings.

For all music products, the score of user experience is composed of editing and project collaboration, interface design preferences, music copyright richness, music preference prediction, technical ability and problem feedback speed.

This is why some people are crazy about calling for the recommended song list of Netease Cloud Music, and many people say that "people who listen to miscellaneous songs may be really tired of using Netease Cloud Music".

For example, you are a loyal fan of European and American music circles, but you have downloaded a Chinese song occasionally recently.

Then I can be sure that there will be a Chinese song in your recommended song list the next day. Next, I can only be "uninterested" in the Chinese songs that appear in the song list.

The recommendation algorithm sets the weight based on different users’ behaviors, with "download" being the highest, followed by collection, search and sharing. In addition, you can also click "not interested", which may avoid such songs.

In addition to algorithm recommendation, to a great extent, a streaming media platform will also assume the responsibility of manual filtering, establish manual rules from the perspective of products and operations, and filter out unqualified options.

Shen Bowen told us that they don’t just rely on the algorithm, but hope to compensate some shortcomings of the algorithm through some artificial power.

Therefore, in addition to a separate algorithm team, Netease Cloud Music also has a strong editorial team.

On the one hand,They help to do a layer of screening on the recommended content at the beginning, find out those high-quality content, and ensure the health of the whole recommendation library.

On the other hand,They also need to solve some convergence problems of the algorithm.

"Because if we rely solely on algorithm recommendation, we may be slow to respond to some new content, and we will also use some manual editing methods. To find out some content that we may think is very high quality, and then recommend it to everyone, "Shen Bowen said.

In addition, even if the customer service system relies on AI technology to a certain extent, the "artificial feedback group" composed of Netease Cloud Music customer service department and technical department is an important reason for users to have a good impression on Netease Cloud Music.

Many "second-back" technical solutions have also been dubbed by users as "the original Xiaobian of Netease Cloud Music is really alive".

In the early stage of platform development, when the data volume can’t meet the requirement of establishing recommendation algorithm model, as an Internet author named Shaq in Zhihu described:

The reason why you can get the high-force recommendation is probably that it first came from a song list recommended by a professional editor named "High-force Small Fresh".

They effectively guided users with similar interests to discover these music. Most people who have similar tastes with you have heard them and felt good. After fancy’s algorithm, they "precipitated" and "fermented", and then produced a good similarity, thus generating such an excellent recommendation and pushing it to you.

Finally, everyone was "amazing" and more new users joined, Perfect.

Radar Financial Products | edited by Li Yihui | Deep Sea

In the automobile circle, Li Xiang and Li Bin, the old rivals, are often compared together. Before building a car, both of them came from automobile content, and founded car home and Easy Car Network respectively.

The traces of the founders of these two websites located in the downstream of the automobile industry chain are fading away, but the competition between the two sides has not cooled down. As the former overlord of car Internet platform, car home has been completely overtaken by Easy Car in terms of monthly users and new users.

Behind car home, Easy Car is supported by Tencent resources. In addition, the car-savvy emperor who is backed by ByteDance has also become a key player.

Car home, facing the squeeze of "Easy Car" and "Know Car Emperor", saw its revenue and profit drop in the second quarter, and its main business shrank sharply, which caused the market to worry about its declining performance. Since July, several investment banks have downgraded car home.

In addition, since the company was listed on the Hong Kong stock market in March this year, its share price has fallen by more than 50%, and its market value of nearly HK$ 50 billion has evaporated.

Why is car home here?

The decline in performance was superimposed by changes in executives, and many investment banks downgraded their ratings.

The second listing in Hong Kong did not make car home’s development more smooth.

On March 15th this year, car home was listed on the Hong Kong Stock Exchange, with an offering price of HK$ 176.3 per share and a net fundraising of over HK$ 3.4 billion.

The latest second quarterly report shows that the company’s net profit attributable to ordinary shareholders is 747 million yuan, down 9.43% year-on-year; Operating income was 1.938 billion yuan, down 16.22% year-on-year.

Among them, the largest business media service sector, which is the foundation of the company, fell by over 30% year-on-year, and its revenue scale was 330 million yuan less than that of the same period last year; The management explained that due to the global chip shortage, car companies adjusted their advertising budgets accordingly, resulting in a decline in the average income contributed by advertisers per car company.

Clue service is the second largest business in car home, which is mainly aimed at dealers to obtain customers. The quality of sales leads is high, and dealers have a strong willingness to spend money on advertising. Clue service is a key indicator to measure platform marketing and commercial value. In the second quarter, car home’s income from this business also declined a lot.

In terms of new business, car home’s online marketing and other income during the reporting period was 594 million yuan, up 10.0% year-on-year, which was the only part of the company’s three-part business.

Prior to the disclosure of interim results, CFO changes had just occurred in car home. On July 2, Zou Jun, the company’s chief financial officer, said that he resigned as CFO for personal reasons.

Before Zou Jun left the company, there had been many high-level adjustment events. In January, Lu Min, who had been at the helm of the automobile home for about four years, was "retired" from the position of chairman and CEO, and Longquan, an executive of Ping An Department, took over. In May, co-president Zhang Jingyu resigned for personal reasons.

Since July, several investment banks have downgraded car home.

Eddy Wang, an analyst at Morgan Stanley, downgraded car home’s rating from high to even, and lowered its target price from $106 to $50.

According to the report, "We expect car home’s core business income to achieve a low single-digit percentage growth, mainly due to intensified competition from major competitors such as Know Car Emperor and Easy Car. The profit forecasts for 2022 and 2023 are lowered by 12% and 19% respectively to reflect the lower income growth rate and gross profit forecast. "

The agency also said that it is expected that the departure of senior managers in the past two months will bring more uncertainty to the company’s strategy.

According to the analysis of Bank of America, car home has changed from a solid online vertical market leader to an increasingly weak market participant affected by the headwind and competition of the automobile industry.

The bank pointed out that the periodicity of the automobile market may mean a long-term headwind, and the competition in automobile consumption is intensifying, which will have a negative impact on car home. Therefore, car home was downgraded to "underperform the broader market" with a target price of $46, which was almost the same as the $45.34 before the US stock market opened on September 13th.

At the same time, Citigroup downgraded its rating to neutral, believing that there is still a big gap between car home and its competitors in terms of user scale, and that more intense competition, "lower car budget" and strategic change are all factors that affect car home’s rating.

Industry "boss" position is not guaranteed

At present, in addition to car home, there are "Tencent" Easy Car and ByteDance’s Car Master.

Easy Car was founded in 2000 by Li Bin, chairman of Weilai, and was once the "first stock of China automobile industry listed in the United States". After several years of losses, it was privatized and delisted in November 2020, and the buyer consortium headed by Tencent acquired and became the controlling shareholder for $1.1 billion.

At the same time, car home’s share price kept climbing, and by the end of January this year, it once reached the highest price of $146.82 in history, and once held the position of the industry leader.

At that time, Zhang Xuan, CEO of Easy Car, once said that Easy Car would remain relatively independent after privatization, and at the same time, through cooperation attempts with Tencent in different fields, we will strive to have a qualitative improvement and qualitative leap in efficiency and volume.

Facts have proved that Easy Car, which joined Tencent Eco, got continuous support in terms of traffic and content, and soon achieved the overtaking of car home in terms of the number of users.

According to the third-party data company Aurora’s Q2 Mobile Internet Industry Data Research Report in 2021, among the mainstream car information apps, the car-easy application is outstanding. In Q2 this year, the number of active users increased rapidly compared with the same period of last year, with an average MAU of 31.773 million, a year-on-year increase of 57.2%, ranking first in the industry since Q4 in 2020.

In addition, the incremental gap between Easy Car and car home is widening. In 2021, the number of new users of Easy Car in Q2 is more than double that of car home, with a gap of 13.672 million. On the other hand, in car home, the monthly users have been declining in the third quarter of 2020, and they are even infinitely close to the car owners in the latest quarter.

It is understood that with the support of bytes, the car owner pays more attention to the sharing of the owner’s real feelings and the output of fun and interesting content around the car. In the new media communication, knowing the car emperor is the "perfect fire" of marketing routines. Recently, the video of the collision between Beiqi Extreme Fox and BYD Han has exploded out of the car circle.

Some senior media people in the automotive industry said that no matter how innovative the new media communication mode is, people’s demand for high-quality content has not changed, only the consumption habits of users have changed, and the automotive media platform is the same. With the ability to continuously provide high-quality content, it is not afraid of any challenges.

At this point, thanks to the advantages of the superposition algorithm, I understand that Che Di abandoned the forums and pictures that car home still sticks to, tilted resources to video content, enabled users to prefer short video and live broadcast modes, and produced more targeted content, so the traffic accumulated faster.

Easy Car has also set up an "intelligent editorial department". The content and video produced by the machine are intelligently pushed for users through a personalized recommendation engine, and users are set up to retain and operate to AI marketing.

According to Aurora data, in 2020, the average number of new users of Easy Car Department will reach 170,000, ranking first; The number of new users who know the car is 153,000, and the number of new users in the car family is close to 150,000.

In addition to user data being overtaken, car home is not as good as its rivals in terms of the number of dealers and media revenue.

After being privatized, Easy Car has no new financial data to disclose. However, according to Zhang Xuan ‘an, the number of dealers cooperating with Easy Car ranks first in the industry. By the end of 2020, the number of contracted dealers was 22,000, with a renewal rate of 85%.

Car home is also not the preferred platform for the advertising of automobile brands. According to the data of "Inventory Report of Marketing Insights in Automobile Industry in 2020" released by QuestMobile, among the platforms including vertical platform, long video, short video and information flow, Easy Car will account for 22.2% of the advertising media for TOP10 new models in 2020, becoming the first choice platform for automobile manufacturers to advertise new cars, while car home’s share is only 17%.

By the close of September 14th, car home’s share price was HK$ 87.3, with a market value of HK$ 44.47 billion, which was over 50% lower than the first day of listing in March.

Who is to blame for car home’s "decline"?

From all aspects of performance, Easy Car seems to have taken the top spot in the industry and become a new head player. The industry structure has changed, and the position of car home’s "boss" has changed hands. Who is to blame?

Like Easy Car, car home has also experienced a change in equity. In 2005, car home website began to operate, and eight years later, Li wanted to bring the company to Nasdaq.

In June, 2015, Li Xiang left car home, stepped down as president, founded Chehejia, and devoted himself to new energy vehicles. After Li wants to leave, the management of the company led by car home CEO Qin Zhi, as well as Boyu, Gaoyou Capital and Sequoia China are going to privatize at the price of $31.50 per ADS.

Unexpectedly, Telstra, the largest shareholder, did not accept this privatization plan, but sold its 47.7% shares to China Ping An Insurance Group for US$ 1.6 billion, and the transaction price was valued at US$ 3.376 billion, which was lower than the management’s privatization offer.

On June 25th, 2016, Telstra and Ping An Trust officially completed the equity delivery. Ping An Trust became the largest shareholder in car home with 47.4% equity, and the shares of car home founder Li Xiang and CEO Qin Zhi were diluted to 2.6% and 2.9% respectively. At the same time, China Ping An made a big change in the senior management team of car home, CEO Qin Zhi and CFO Zhong Yiqi were replaced, and Ping An officially took over the company.

The new management made major adjustments at the strategic level, cutting off the main money-burning businesses at that time, such as automobile e-commerce and used cars; Reorganize the sales team, increase the efforts to realize cash, and inject Ping An Group’s wolf culture of focusing on efficiency and marketing into car home.

Since then, car home under the rule of Ping ‘an has also had moments of high light. For example, the company’s revenue in 2016 increased by 72.10% year-on-year to 5.96 billion yuan; In 2017, net profit increased by 63.01% year-on-year to 2 billion yuan.

On June 19th, 2018, the highest share price of car home was USD 119.18, and the company’s market value reached USD 13.982 billion. The corresponding market value of Ping An Group’s shareholding was about USD 6.6 billion, which means that its equity investment income in two years reached USD 5 billion, exceeding RMB 30 billion.

Lu Min, the head of car home, also won the first-class medal of Ping An Group.

On the other hand, under the profit-oriented atmosphere, car home failed to keep the purpose of taking users as the center, and the excessive commercialization of content caused users’ dissatisfaction.

Many users have found that car home’s once neutral content has become a "water draft", and the platform is no longer a credible third party, and it was once called "the home of car supports".

After the data such as content quality, word-of-mouth and users declined, it also affected the advertising willingness of the OEM. Moreover, when the automobile industry entered the cold winter in 2019, car home insisted on the price increase of membership fees, which triggered a large-scale collective protest by dealers, and several large dealer groups, such as Zhongsheng, Huge and Express, boycotted it.

Due to various unfavorable factors, car home’s revenue has slowed down. According to the financial report data, the company’s revenue growth rate is only 2.82% in 2020, which is the lowest since listing.

According to the analysis of insiders, at present, in addition to two equal rivals, Easy Car and Know Car Emperor, with the rise of short videos, cars have also diverted a batch of traffic from media people. Under this background, how to create high-quality content to attract users and regain their competitive advantage is a new proposition before car home.

Note: This article is original by Radar Finance (ID: leidacj). Unauthorized reproduction is prohibited.

Recently, AITO, a new star in the field of domestic new energy vehicles, has once again attracted wide attention from the market. As its flagship model, with its average selling price of about 500,000, it stands out among similar products and becomes a leader in the market.

Not long ago, the news about AITO’s upcoming launch of new models spread like wildfire. It is reported that this new car named is scheduled to be officially launched in 2025. Although the patent drawing of the new car has been exposed in advance, consumers have different opinions on its design. Compared with the model M9 and the new model, the design of the model M8 is particularly unique.

Although there is controversy on the design, the M8 is unambiguous on the body size. It is estimated that its body length will reach about 5 meters, and it will be positioned as a large-size SUV (or medium and large SUV). In the future, it will compete fiercely with brands such as Ideal and Weilai.

Regarding the price of the new car, the market generally predicts that the price of the main selling model of the M8 will be around 400,000. At the same time, some analysts believe that its starting price may drop to around 350,000 to attract more consumers. This price range just fills the gap between the M9 and the new M7.

In terms of configuration, the M8 will undoubtedly carry the latest scientific and technological achievements of HarmonyOS Zhixing. This includes HarmonyOS cockpit, global 800V platform, Huawei Gankun ADS 3.0 (or higher version), giant whale battery and Turing chassis (equipped with variable damping shock absorber and intelligent air suspension). According to the existing powertrain layout of AITO, it is expected that M8 will also provide two power options: extended range version and pure electric version.

It is generally believed in the industry that the launch of M8 will further consolidate the position of AITO in the new energy vehicle market. With its comprehensive equipment, the strong endorsement of Huawei technology and the appearance similar to that of Wenjie M9, Wenjie M8 is expected to achieve similar sales performance in the future market. This is undoubtedly an opportunity worth looking forward to for the AITO community.