Great Wall Motors adds to the Internet of Vehicles and builds a defense system in depth

Recently, Great Wall Motor unveiled at the 2023 Cloud Conference with the latest 5G + distributed vehicle networking architecture, providing users with real-time, convenient, safe and stable intelligent travel services with 5G vehicle networking and edge cloud technologies.

As the "software-defined vehicle" has gradually become one of the main development trends of intelligence, the proportion of intelligent network-connected vehicles is increasing, and the software services that meet the scene needs of users are becoming more and more abundant, and the vehicle data accessed under the cloud platform is becoming more and more complex. The traditional centralized vehicle networking is gradually difficult to cope with the data generated by cars, the storage and transmission of data are limited, and the sense of user experience is reduced; services that have not been identified and classified and with different technical logic are directly connected to the cloud. The update iteration of the cloud platform slows down, and the management cost of the car company is higher and more difficult.

Through the leading 5G + distributed vehicle networking architecture, the Great Wall Automotive Cloud platform breaks the shackles and transforms data into a visible product experience with a central cloud + edge cloud model.

Great Wall's distributed vehicle networking architecture can provide users with lower latency and more stable business communication support, and shorten the information transmission time from the car to the cloud. By devolving part of the functions of the central cloud to the edge cloud, a vehicle cloud data propagation matrix of sub-domain management and in-depth defense is constructed according to the model of "central computing + edge reasoning". Based on the massive data, the edge cloud collects and obtains the vehicle data, the central cloud unified optimization algorithm model (such as fault early warning model, automation scene model, etc.), the model sends the edge cloud, the edge cloud implements reasoning, and gives users real-time feedback results.

Taking the precise early warning scene of spare parts during the driving process of Panshan Highway as an example, users have the driving behavior of increasing braking times, turning times and decreasing speed during driving in this area. when the vehicle has higher brake pad temperature, increased fuel consumption, higher tire pressure and so on, the full amount of driving behavior data and vehicle condition data will be sent to the regional cloud, and the regional cloud will send the data to the central cloud. The central cloud cleans, calculates, judges, trains, optimizes and generates early warning models of tire pressure, brake pads, batteries and other components in the mountain area, and then pushes them to the clouds in this area. According to the accurate model, the regional cloud carries out real-time early warning, push message reminders and feedback to the vehicle side for vehicles passing through the road section or area, so that users can enjoy exclusive services in special situations.

Different from the traditional model in which the central cloud undertakes decision-making and execution at the same time, the Great Wall automobile cloud platform "central computing + edge reasoning" greatly reduces the invisible time cost for users to receive services. to provide users with more accurate and rapid active scene-based services, and improve users' safe driving experience.

Scene classification focus on experience

Secondly, the Great Wall Automotive Cloud platform, based on the leading 5G communication technology, enables multiple classified business scenarios, such as in-vehicle communication, high-flow services, ecological infotainment, and low-delay self-driving, to achieve classified business security isolation and communication classification guarantee, and build a technical barrier for data security and information security of intelligent connected vehicles.

Classify different types of scene service products in detail, reduce the load on the central cloud, improve the management accuracy of various services in the cloud, and provide a platform basis for higher frequency OTA upgrades, thus providing users with frequently used and new intelligent products and services.

At the same time, Great Wall Motor distributed edge cloud to achieve access to the nearest, to give a more smooth intelligent service experience, a higher level of self-driving experience.

In addition, the edge cloud supports "real-time accurate sharing of road conditions". If there is a road condition problem in the edge cloud coverage area, if the user drives a vehicle into the edge cloud range, the edge cloud will be automatically connected to the edge cloud, and the road condition information can be accurately obtained. continue to add code to the safety protection of intelligent driving.

In terms of data security, Great Wall Motor uses the security certificate issued by PKI to carry out two-way TLS security authentication with the vehicle networking platform to provide secure and reliable communication links for car-to-car service applications; cloud data storage is protected by high-level encrypted block storage; data encryption and desensitization of user privacy are carried out. The use of business data strictly follows the most stringent data security compliance standards and process guarantee at home and abroad, and the products and services connected to the cloud meet the international standards of ISO27001 information security management system.

The intelligent layout of Great Wall Automobile has become mature. under the tide of AI, the research and development and landing of large models have once again posed a challenge to the computing power and data storage of automobile companies. The role of cloud in expanding data storage space and improving data transmission speed and computing power has become one of the important means to break the situation. Great Wall Motor has been ploughing the cloud platform for a long time, and the construction of the cloud platform has moved towards the first echelon of the industry. It will give full play to the constructive role of the cloud platform in intelligent networking, so that data is not just data, and computing is not just computing.