Metering equipment performance monitoring system
The invention relates to the technical field of performance monitoring, in particular to a metering equipment performance monitoring system which comprises a performance data decomposition module, an incremental learning monitoring module, a cognitive data analysis module, a performance correlation...
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creator | WU ZHENGUANG YUE JIANJIANG |
description | The invention relates to the technical field of performance monitoring, in particular to a metering equipment performance monitoring system which comprises a performance data decomposition module, an incremental learning monitoring module, a cognitive data analysis module, a performance correlation analysis module, a data pattern recognition module, a performance evaluation simplification module, a comprehensive data processing module and a performance monitoring optimization module. Through application of the stochastic gradient descent algorithm, the model can be updated in real time and adapt to a new performance data trend, so that the dynamic nature and adaptability of monitoring are enhanced, through combination of the Transform model and the Bayesian network, deep analysis and logical reasoning of equipment data are realized in the aspect of cognitive data analysis, the accuracy of information extraction is enhanced, and the reliability of cognitive data analysis is improved. The community detection al |
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Through application of the stochastic gradient descent algorithm, the model can be updated in real time and adapt to a new performance data trend, so that the dynamic nature and adaptability of monitoring are enhanced, through combination of the Transform model and the Bayesian network, deep analysis and logical reasoning of equipment data are realized in the aspect of cognitive data analysis, the accuracy of information extraction is enhanced, and the reliability of cognitive data analysis is improved. 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Through application of the stochastic gradient descent algorithm, the model can be updated in real time and adapt to a new performance data trend, so that the dynamic nature and adaptability of monitoring are enhanced, through combination of the Transform model and the Bayesian network, deep analysis and logical reasoning of equipment data are realized in the aspect of cognitive data analysis, the accuracy of information extraction is enhanced, and the reliability of cognitive data analysis is improved. 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Through application of the stochastic gradient descent algorithm, the model can be updated in real time and adapt to a new performance data trend, so that the dynamic nature and adaptability of monitoring are enhanced, through combination of the Transform model and the Bayesian network, deep analysis and logical reasoning of equipment data are realized in the aspect of cognitive data analysis, the accuracy of information extraction is enhanced, and the reliability of cognitive data analysis is improved. The community detection al</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS TARIFF METERING APPARATUS TESTING |
title | Metering equipment performance monitoring system |
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