A general vehicle data acquisition/simulation method and system

Abstract

The invention discloses a general vehicle data acquisition / simulation method and system. The data acquisition / simulation method includes constructing a simulation module installed on a PC terminal, a plurality of simulation files used for loading the simulation module, and an analysis and test module installed in a mobile terminal. The simulation module on the PC side controls the data transceiver controller of the car through the USB interface. The data transceiver controller is connected to the car through the standard OBD interface of the car, and is connected to the analysis and test module of the mobile terminal on the car bus to communicate with the car in real time. The simulation module controls the channel switching so that the physical path of the PC side is consistent with the communication path of the mobile terminal, and performs data collection. The collected data is stored in the PC side in real time. The simulation module processes the collected data according to certain rules and saves it as Simulation file. The present invention can realize the analysis and verification of vehicle data in a laboratory environment through the above solution, and greatly improves the efficiency of research and development and verification.

Description

technical field [0001] The invention relates to the field of vehicle data processing, in particular to a general vehicle data collection and simulation method and system. Background technique [0002] With the rapid development of automotive electronics, automotive electronic systems and electrical equipment form a relatively large system, and the electronic module system forms a huge communication network system, and a large amount of data interacts in the entire communication network of the vehicle. The traditional data protocol research of automotive communication must be analyzed based on the actual vehicle system environment. The data transmission speed is fast and the data volume is large. During the analysis process, it is impossible to quickly identify the data response mechanism and the source of data transmission and reception. The data collected by traditional analysis methods needs to be analyzed after a long period of time. It is difficult to analyze the respon...

AI Technical Summary

Problems solved by technology

The data transmission speed is fast and the data volume is large, so it is impossible to quickly identify the data response mechanism and the source of data transmission and reception during the analysis process

The data collected by traditional analysis methods needs to be analyzed after a long period of time in the later stage. It is difficult to analyze the response mechanism between the data and the data communication mechanism of the vehicle cannot be restored, which increases the difficulty of analyzing the data protocol.

At present, there is no set of truly effective technical means on the market, which can quickly collect and analyze vehicle data, establish a preliminary response mechanism, and rebuild the data communication mechanism in the laboratory environment, so as to quickly improve the efficiency of data protocol analysis, data analysis and verification, etc.

[0003] In addition, the current vehicle brands are different, and the design and standards of vehicle electronic modules are also different. The communication methods and communication protocol standards are different. In addition to the standard interface definition, the manufacturer also has a custom interface for the traditional vehicle data. The acquisition method adopts real-time data acquisition and real-time monitoring. It is impossible to switch ports and collect data according to different manufacturers’ standards, and it is also impossible to distinguish different protocol standards. It is even more impossible to simulate the actual communication of vehicles in a laboratory environment based on the collected data. surroundings

In this way, data analysis can only be based on established and known standards and must be carried out in a real vehicle environment. It cannot be analyzed and verified in a laboratory environment, which greatly affects the efficiency of research and development and verification.

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