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            <title xml:lang="en">A Fault Data Capture Method for Water Quality Monitoring Equipment Based on Structural Pattern Recognition</title>
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                <editor>Daoliang Li</editor>
                <editor>Yingyi Chen</editor>
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                <term xml:lang="en">fault filter</term>
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                <term xml:lang="en">fault data capture</term>
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              <p>To capture equipment fault in real time and automate fault diagnosis,                            a pattern recognition method, based on data eigenvector and TCP                            transport protocol, was proposed to capture Water Quality Monitoring                            equipment’s fault information. Fault data eigenvector was designed                            after analyzing the equipment fault feature and capture strategy,                            structural pattern recognition strategy was confirmed and specific data                            frame was designed in response to the fault data eigenvector, by                            integrating the data frame design into the equipment’s                            communication protocol, data related to different fault compiled into                            fault data frames by transmitters or communication module of                            equipment’s different components, the remote sever captures                            equipment fault on transport via fault data frames according to the                            structural pattern recognition strategy. With 7 months of practical                            application in Taihu aquaculture project and research center of                            agricultural information technology, combining with historical fault                            data and contrast with artificial recognition result, the simulate                            experiment shows this method has higher response rate and process rate                            with a nice accurate.</p>
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