Automatic automobile diagnosis method based on data processing unit (DPU)

Abstract

The invention provides an automatic automobile diagnosis method based on a data processing unit (DPU). The automatic automobile diagnosis method comprises the following steps of: 1, supplying a client and a DPU diagnosis joint; 2, connecting the DPU diagnosis joint to an automobile diagnosis interface; 3, communicating a first communication module of the client with a second communication module of the DPU diagnosis joint; 4, automatically sending a diagnosis request to the DPU diagnosis joint by the client according to a preset procedure, and receiving the diagnosis request by the DPU diagnosis joint and controlling a switch array module to switch on the automobile diagnosis interface; 5, reading data to be diagnosed from an automobile electronic control system by the DPU diagnosis joint through the automobile diagnosis interface, and transmitting the data to the diagnosed to the client; 6, receiving the data to be diagnosed by the client, comparing the data to be diagnosed with an automobile normal running parameter pre-stored in a first storage module through a data processing module of the client, and acquiring a value of comparison result data; and 7, comparing the value of the comparison result data with a normal fluctuation range value of the automobile normal running parameter pre-stored in the first storage module through the data processing module of the client, and if the value of the comparison result data is not in the normal fluctuation range value of the automobile normal running parameter, sounding an alarm by an alarm module.

Description

technical field [0001] The invention relates to a vehicle diagnosis method, in particular to a DPU-based vehicle automatic diagnosis method. Background technique [0002] With the rapid development of China's auto industry and the continuous popularization of family cars, the huge market potential of life after cars has attracted widespread attention from all parties. After years of market development and popularization, the automotive fault diagnosis system has been effectively developed. [0003] However, due to traditional market factors, multi-system and multi-functional professional diagnostic equipment is bulky and expensive. The customer group is traditional auto repair shops, while DIY equipment for individual customers is small, low in price, easy to operate and Based on the versatility of OBDII / EOBD system diagnosis and other advantages, it has gradually entered the personal user market of family cars. But at the same time, because the traditional DIY equipment i...

AI Technical Summary

Problems solved by technology

[0003] However, due to traditional market factors, multi-system and multi-functional professional diagnostic equipment is bulky and expensive. The customer group is traditional auto repair shops, while DIY equipment for individual customers is small, low in price, easy to operate and Based on the versatility of OBDII / EOBD system diagnosis and other advantages, it has gradually entered the personal user market of family cars

But at the same time, because the traditional DIY equipment is based on OBDII / EOBD, it can only diagnose the power system related to emissions, and its functions are simple, so it cannot make a comprehensive diagnosis of the vehicle, which limits its further development potential

And professional diagnostic equipment has also set up a solid barrier for entering the personal market due to its high price.

At the same time, these diagnostic devices require ordinary end users to actively operate the software on the client to obtain the data to be diagnosed, but the large number of technical terms used in these diagnostic devices make ordinary end users do not know how to use the diagnostic devices

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