基于人工智能技术的集成式汽车仪表故障信息采集模型  

Integrated Automobile Instrument Fault Information Collection Model Based on Artificial Intelligence Technology

作　　者：王大为[1] 贾芳云[1] 崔慧娟[1] WANG Dawei;JIA Fangyun;CUI Huijuan(Xianyang Vocational and Technical College,Xianyang Shaanxi 712000 China)

机构地区：[1]咸阳职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2021年第9期109-111,115,共4页Automation & Instrumentation

基　　金：院级科研基金项目:面向装备再制造的激光表面清洗技术研究(No.2021KJC03);院级"双高计划"专项研究项目:高职院校技术技能创新服务平台的研究与实践(No.2021SGC14);陕西省教育厅专项科研项目:网络化PLC平台的研究(No.17JK1172)。

摘　　要：为降低集成式汽车仪表故障的排查时延,引入数据挖掘算法,提出基于人工智能技术的集成式汽车仪表故障信息采集模型。在故障汽车仪表器中布置数据传感器,通过传感器采集故障样本数据。通过空载输出调节法提取故障样本数据中的信号特征。利用数据挖掘算法对已提取的信号特征进行智能化反馈与调节。将反馈回处理器的故障信息进行单元化处理,通过单元化处理后的数据参数优化故障信息采集模型。测试结果表明,本方法能有效实现故障信息采集,且故障排查的时延较低。In order to reduce the troubleshooting delay of integrated automobile instrument,data mining algorithm is introduced,and an integrated automobile instrument fault information collection model based on artificial intelligence technology is proposed.The data sensor is arranged in the instrument of the faulty vehicle,and the fault sample data is collected by the sensor.The signal features of fault sample data are extracted by no-load output regulation method.Data mining algorithm is used to intelligently feedback and adjust the extracted signal features.The fault information fed back to the processor is processed in units,and the fault information acquisition model is optimized through the data parameters after unit processing.Test results show that this method can effectively achieve fault information collection,and the time delay of troubleshooting is low.

关 键 词：人工智能技术 集成式 汽车仪表 故障信息 采集 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]