In response to the automotive industry's need for efficient processing and precise analysis of massive CAN data,this paper proposes and develops a reverse analysis technology for CAN signals and corresponding software based on the principle of homology similarity.This technology leverages the similarity of homologous signals,using diagnostic signals as a benchmark,to convert broadcast signals into binary format.The data is then split into multiple comparison signal data sources based on parameters such as bit length,type,coefficient,offset,sign bit,and similarity.Subsequently,by setting a similarity threshold,signals that meet the criteria are quickly filtered out.The research results show that this technology significantly improves the efficiency of acquiring CAN signals,shortens the analysis cycle,enhances work efficiency,and provides crucial support for the development of the automotive industry.
关键词
CAN信号逆向分析/同源相关性/数据处理/汽车电子
Key words
Reverse Analysis of CAN Signals/Homology Similarity/Data Processing/Automotive Electronics
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