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International audienceTo capture equipment fault in real time and automate fault diagnosis,a pattern recognition method, based on data eigenvector and TCPtransport protocol, was proposed to capture Water Quality Monitoringequipment’s fault information. Fault data eigenvector was designedafter analyzing the equipment fault feature and capture strategy,structural pattern recognition strategy was confirmed and specific dataframe was designed in response to the fault data eigenvector, byintegrating the data frame design into the equipment’scommunication protocol, data related to different fault compiled intofault data frames by transmitters or communication module ofequipment’s different components, the remote sever capturesequipment fault on transport via fault data frames according to thestructural pattern recognition strategy. With 7 months of practicalapplication in Taihu aquaculture project and research center ofagricultural information technology, combining with historical faultdata and contrast with artificial recognition result, the simulateexperiment shows this method has higher response rate and process ratewith a nice accurate

A Fault Data Capture Method for Water Quality Monitoring Equipment Based on Structural Pattern Recognition