Standard data flow extracting method based on professional diagnosis

Abstract

The invention provides a standard data flow extracting method based on professional diagnosis. The standard data flow extracting method comprises the following steps: step 1, providing a diagnosis connector which comprises a diagnosis interface module, a first microprocessor module, a first storage module where a standard data flow main base is prestored and a standard data communication interface module; step 2, providing a vehicle, connecting the vehicle with the diagnosis connector, scanning all electronic control systems of the vehicle, recording the supported electronic control systems, forming a scanning database of the electronic control systems, and storing the scanning database; step 3, scanning all electronic control systems in circular mode to obtain all data flow items, comparing the data flow items with the standard data flow main base, and storing the data flow items which exist in both the standard data flow main base and all the data flow items to form a database special for automobiles; and step 4, providing a client side or a remote-side server, wherein users obtain data of the database specially existing in the vehicle and real-time diagnosis data flow of the vehicle from the diagnosis connector through the client side or the remote-side server according to requirements, so that the users can know the data flow items supported by the vehicle.

Description

Technical field [0001] The invention relates to the field of automobile diagnosis, and in particular to a data stream extraction method that realizes scanning and recording of multiple electronic control systems in a vehicle to obtain a standard data stream through a special professional diagnostic program for a vehicle. Background technique [0002] With the rapid development of China's automobile industry and the continuous popularity of family cars, the huge market potential of after-car life has attracted widespread attention from all parties. After years of market development and popularization, automobile fault diagnosis systems have been effectively developed. [0003] However, due to traditional market factors, multi-system and multi-functional professional diagnostic equipment has the characteristics of being stupid, cumbersome, and expensive. The customer group is traditional car repair shops, while DIY equipment for individual customers is small, low-priced, easy to oper...

AI Technical Summary

Problems solved by technology

[0003] However, due to traditional market factors, multi-system and multi-functional professional diagnostic equipment has the characteristics of being 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, due to its OBDII / EOBD interface, this traditional DIY device can only diagnose the power system related to emissions. The function is simple, and it cannot make a comprehensive diagnosis of the vehicle, which limits its potential for further development.

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, a large number of technical terms used by these diagnostic equipment have also formed a technical barrier, and ordinary end users do not know how to use these diagnostic equipment

The miniaturized devices of professional diagnostic equipment are also the same as professional equipment. A large number of professional technical terms and differentiated data streams have set up great obstacles for individual customers to read and use data.

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