Shulou(Shulou.com)06/02 Report--

Fighting the epidemic, whether it is on the front line of epidemic prevention or home isolation, is becoming a matter for every industry and everyone.

We are still duty-bound under the epidemic but not at the center of the storm. The front line of epidemic prevention and control needs a large number of material support, medical staff and countless workers to devote their lives, and the improvement of every subtle link conducive to virus control should be paid attention to and optimized. As a media that pays close attention to the trend of science and technology and the AI industry for a long time, we also hope to cut into the fight against the epidemic through the small perspective of car networking, and think about what possible changes the networking technology can bring to public health and epidemic prevention.

Reality: the Application of vehicle networking in the epidemic situation

First of all, let's briefly retrace several tracks of the fight against the epidemic. 10:00 on January 23rd, Wuhan closed the exit from Han to Han. At the same time, Hubei Province launched a Ⅰ response to major public health emergencies, 13 urban areas of Hubei stopped public transport, and then extended to 18 cities and counties to stop intra-city and inter-regional public transport. At this point, Wuhan and its surrounding areas officially entered a state of emergency.

Through mainstream media reports and social media reports, we can see that the closure of production and business during the Spring Festival holiday, coupled with the impact of road closure, has made Wuhan and its surrounding cities short of epidemic prevention supplies, and hospitals are in urgent need of protective equipment. At the same time, the outage of public transport also makes it difficult for medical staff to commute to and from work.

The usual travel and logistics transportation were immediately interrupted because of the outage, and the rescue response began at almost the same time. Material assistance has become the most critical difficulty to be overcome after the road is closed. Trucks from all over the country have become arteries to get through the "blood transfusion" in the epidemic area. Epidemic prevention medical equipment and basic daily necessities immediately entered Wuhan and its surrounding areas through logistics vehicles from all over the country, making every effort to alleviate the shortage of front-line medical supplies.

"who is helping Wuhan?" Through the networking of a car in China, big data, we can see the traces of the transportation of these materials.

In the five days from January 24 to 28, a total of 2675 vehicles participated in operation in Hubei Province, of which only 1048 were Hubei license plates, accounting for 39%, and the remaining 61% were provincial licenses. The top three are 68 in Henan Province, 64 in Jiangsu Province and 59 in Shandong Province. In addition, in some provincial cities more than 1000 kilometers away from Wuhan, there are also many vehicles coming at night, including 23 in Guangdong, 70 in Beijing, Tianjin and Hebei, 52 in Heiji and Liao, 6 in Inner Mongolia, 3 in Yunnan and 2 in Xinjiang. Through green channels and holding special epidemic permits, these "non-local vehicles" continue to deliver medical materials, epidemic prevention materials, fruits and vegetables, agricultural products, and engineering materials to Wuhan and its surrounding areas. Vehicle logistics is mainly concentrated in agricultural and sideline products, fruit batches and other farmers' markets to ensure the supply of daily life in urban areas, as well as medical equipment and other related enterprises and logistics parks to ensure the transportation and distribution of medical devices.

Of course, it can be seen that these vehicle networking big data is only as the data statistics of material transportation, and its big data application is not involved in the vehicle dispatching decision. The individual decision makers who participate in the allocation, transportation and reception of goods are still on the logistics line. Although there has been a very smooth communication between delivery, truck drivers and harvest, there are still some problems of information asymmetry, such as detour, no-load driving, unreasonable material distribution and so on. Big data not only plays the role of "watching", but also should share these data in real time and enter into the unified material allocation system, so as to reduce the transportation waste of trucks and the unreasonable dispatching of materials. to optimize the use of epidemic prevention resources.

"and who can provide timely epidemic information for travel?" For the first time, APP, a mainstream map in China, provided a "national epidemic map" for car owners and pedestrians. This "epidemic map" generated by big data in real time according to the national epidemic situation can provide the latest epidemic situation for travel users and provide reference for car owners who return to the city. At present, there are also "fever clinics" in four cities, including Wuhan, Beijing, Guangzhou and Chengdu, where you can check all the nearby medical institutions that provide fever clinics. In addition, according to the heat map of population mobility density, users can also be reminded to avoid crowded places and reduce the risk of infection.

In order to deal with the spread of this menacing pneumonia epidemic, "city closure" and public transport shutdown are effective "thunder" means to block the large-scale flow of people and the spread of infection, while the necessary material transportation and necessary travel require traffic management departments and car rental and travel enterprises to actively respond, and a long-term emergency passage and guarantee mechanism should be formed in the future. A set of big data platform with wide coverage and efficient operation, with overall construction by the government, technical support provided by enterprises and full participation of automobile enterprises, should be put on the agenda after the epidemic.

Advance: normal Application of vehicle Network epidemic Prevention

At present, the peak of returning to the city after the festival has arrived. In order to strengthen the prevention and control of the epidemic and screen suspected virus carriers, temperature tests have been carried out at airports and railway stations across the country. Some station exits and subway entrances are also equipped with infrared thermometers to ensure that passengers can pass the examination quickly. This process is not friendly for the detection of highway vehicle personnel, vehicle parking, vehicle owners and peer personnel get off, temperature measurement registration and then start, it is easy to cause the exit vehicle queue and increase the travel time of the vehicle.

Obviously, we can borrow the idea of "inventing shoes", not "covering the ground with fur" but "tying a piece of fur to the foot". In fact, the temperature detection and even in-vehicle health detection system can be directly embedded in the vehicle, which has become a normal application of vehicle networking. In peacetime, this health detection system can collect the body temperature and human status of the people in the car through the car camera (with the consent of the owners and passengers), and judge whether the driver has fatigue driving or dangerous driving behavior caused by disease, in order to carry out the first time early warning, the physical condition of fellow passengers can be monitored to automatically adjust the temperature in the car. For public transport, this intelligent monitoring tool can determine whether passengers smoke, wear masks and have a fever, and send friendly reminders to drivers and passengers via mobile phone APP. In the epidemic state, the system can upload the temperature and sign data of passengers to the epidemic platform, and then synchronize it to the traffic management department and high-speed ETC system in real time. There is no detection for normal vehicles, but timely prevention, control and rescue for fever and suspected patients.

The vehicle infrared camera and intelligent temperature control and purification devices cooperate with the vehicle network platform to increase the ability of vehicle health monitoring and epidemic situation real-time monitoring, which will further enrich the monitoring dimension of vehicle big data. At the same time, under the premise of respecting user privacy, through intelligent hardware assistance, it will also provide better health protection for passengers.

Future: unmanned vehicle network epidemic prevention platform

With the maturity of 5G technology and the development of self-driving technology to the L5 level, we can look forward to the widespread use of some self-driving vehicles in certain environments in the near future. For example, the establishment of logistics channels for unmanned trucks specially used for the transportation of materials. Unmanned vehicles throughout the vast number of industries, logistics, industries, university parks, or the last kilometer of logistics delivery vehicles (drones); low-speed public transport on specific routes.

In the future, the self-driving vehicle networking platform can well meet the transportation needs of materials and people after the outbreak of the epidemic. For the transportation of bulk materials, unmanned trucks will greatly alleviate the pressure on truck drivers and ensure the safe and smooth delivery of materials to their destinations. According to the daily shopping needs of ordinary isolated users, the fixed-point distribution of unmanned vehicles (machines) can be provided; for the treatment of sick people, unmanned buses can provide one-to-one chauffeured services to avoid cross-infection between patients and infection of drivers.

In the first two days of the suspension of public transport to prevent the spread of the epidemic, many medical personnel with travel needs had no cars to take, and many civil private cars in Wuhan formed a fleet of volunteers to complete the round-the-clock transportation of medical personnel to and from work and the transportation of medical supplies. Such volunteering virtually increases the risk of infection among volunteers. In the later stage, although the relevant departments urgently dispatch commuter buses to ensure the travel needs of medical personnel, they still need the assistance of many drivers and drivers. In the future, the automatic dispatching of unmanned vehicles will also completely solve the travel problems of medical personnel, and at the same time, it will not be necessary for more people to bear the additional risk of the epidemic.

It can be predicted that big data, the network of vehicles under self-driving, will really connect people, cars, roads, goods, and destinations, reasonably optimize people's travel time and material allocation, achieve real-time information transmission, and even stifle the epidemic in the early stages of the outbreak.

Of course, the realization of an idealized state is a superimposed state of technology accumulation and commercial maturity. Government organizations, urban road management departments, car factories, technical service platforms, including every consumer, are the participants and creators of this vehicle networking platform. The corresponding policies and regulations, supporting infrastructure, technology integration of vehicles, data access of the platform, data privacy protection of consumers and the balance of public obligations are interlinked and interact with each other. every participant is required to have sufficient patience and wisdom to participate.

Just as influenza is a test of immunity for us, the outbreak of the virus is also a test of our social governance ability and technological innovation. Learning to reflect from disasters, finding remedies from loopholes, and building a new order from chaos are exactly what we should learn after the test of the epidemic.

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