Activity review 丨 Keloda takes the technical framework of the intelligent diagnosis model as a blueprint to empower the intelligent driving ecosystem and achieve steady and long-term progress.

On June 13, 2024, the automobile technology summit organized by the United Nations General Assembly with the theme of “driving to the Future: booking the next 15th five-year Plan to Gallop the World” came to a successful conclusion in the beautiful mountain city of Chongqing.

Based on the rapid development of intelligent cars, the conference has set off the competition and reform of the automobile industry.

Cars are being endowed with more and more capabilities, such as computing power, interactive ability and other functions, and the control is more centralized.

Iron and steel mechanical structure to achieve the basic functions of the automobile, to mechatronics to improve safety and performance, and then to the current development of the “new four modernizations (CASE)”-interconnection, automation, sharing, and electrification, science and technology has been defining the role of the automobile, and the role of chips will become more and more prominent.

Shen Weizhong, president of the Business China region of the General Assembly of the General Assembly, delivered a speech to the guests at the conference.

Shen Weizhong said that new energy vehicles are a major opportunity for China to overtake at corners in the global market, as well as an important driving force for economic transformation and upgrading.

With the continuous evolution of the “New four modernizations”, the combination between the automobile industry and the semiconductor industry is getting closer and closer, forming a new ecosystem that promotes each other and grows together.

In the face of this industry development trend, as a key link connecting the upstream and downstream industries, the United Nations General Assembly will continue to devote itself to the linkage of the automobile industry and join hands with core enterprises to build a semiconductor channel benchmark for the deep integration of automotive electronics technology and the supply chain.

Shen Weizhong (picture source WPG), president of business and trade of Universiade, software enabling smart driving ecology, as a benchmark enterprise in the global automotive software industry, Keloda was invited to attend the meeting.

Zhang Xinjie, the company’s co-founder, chief technology officer and general manager of China, delivered a speech on the theme of “Intelligent upgrade of large model enabling automobile diagnosis system”.

Zhang Xinjie, co-founder and chief technology officer of Keloda, general manager of China, Zhang Xinjie (Tu Yuan WPG), said that intelligent diagnosis is an integrated application, and the vehicle relies on the mobile communication capability (WIFI/4G/5G) of the vehicle to remotely control and diagnose the vehicle in the mainframe factory background (or mobile APP) without the need to drive back to the 4S store.

Keloda built a large model intelligent diagnosis platform, with the vehicle power-on self-test (vehicle side) → to collect fault codes and fault data for root cause analysis (remote diagnosis system) → release repair scheme (software firmware update & OTA task issued) the whole process framework.

Through the combination of remote diagnosis technology and OTA technology, a complete closed-loop solution is created, which provides unlimited possibilities for automobile manufacturers to build an intelligent industrial platform.

At the same time, in the process of landing of the intelligent diagnosis large model, edge computing has become an important carrier for the large model to expand to intelligent terminals and intelligent gateways to reach more users with the advantage of being close to the data source.

On the premise of high computing power, end-to-side reasoning ability, AI hardware acceleration engine and model compression support, through large model edge computing, real-time vehicle health monitoring, in-vehicle multimodal perception, driving behavior identification, vehicle intelligent AI assistant and customized personalized recommendation are realized.

Create an intelligent ecosystem with a combination of software and hardware.

Keloda model intelligent diagnosis platform framework, software and hardware combined with the Internet of everything, Keloda new generation of OTA general simulation bench (graphic source WPG), this conference, Keloda also participated in the self-developed new OTA general simulation bench, the function and appearance of the comprehensive upgrade, the whole screen shows the whole process of OTA upgrade, so that the upgrade details at a glance The physical button is used to simulate the vehicle condition signal control, optimize the operation feel, and support more vehicle condition signal simulation.

the OTA management background is built into the equipment, and the OTA upgrade task can be configured freely to realize the closed loop of OTA whole process control.

The device supports many functions such as testing upgrade tasks in the OTA upgrade process, downloading upgrade packages, automatically verifying the integrity of upgrade packages, judging preconditions, performing brushing, rollback of upgrade failures, and so on, bringing users a new hands-on experience.

It is the consensus of the automobile industry that the automobile industry is evolving from traditional vehicles to a new intelligent “terminal” with the combination of software and hardware, creating an ecological circle of integration of hardware and software, and the Internet of everything to create intelligent travel.

In the face of the new trend and new form of “newness, wisdom, cooperation and volume” of the automobile industry, Keloda will firmly practice the long-term doctrine.

Under the wave of intelligence, through the blessing of OTA thinking, it will provide a strong guarantee for realizing the innovation and development of the intelligent automobile industry.

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Link to this article: https://evcnd.com/activity-review-%e4%b8%a8-keloda-takes-the-technical-framework-of-the-intelligent-diagnosis-model-as-a-blueprint-to-empower-the-intelligent-driving-ecosystem-and-achieve-steady-and-long-term-progress/

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