基于关键数据趋势分析的工控流式数据快速质检方法

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键词：工控流式数据；降本增效；容忍度；趋势匹配；快速质检

中图分类号：TP274 文献标志码：A 文章编号：1001-3695（2026）01-010-0083-08

doi：10.19734/j. issn.1001-3695.2025.06.0205

Rapid quality inspection method for industrial control streaming data based on key data trend analysis

Zhang Kejia，Liao Yan，Zhang Yan† （Colege of Computer& Information Technology，NortheastPetroleum University，Daqing Heilongjiang，China）

Abstract：Industrialcontrolstreamingdataisakeyinformationcarrierreflectingtheproductionprocess，anditsqualityinspectionisof great significanceforguidingproduction.Againstthebackdropof therapid developmentof Internetof Things technology，industrialcontrolstreamingdataexhibitsfastgrowthrateandlarge increment.However，existingqualityinspetion methods mostly focus onsingle-dimensionoptimizationand struggle tobalance accuracyand speed.Toaddress this issue， thisstudydrewonthe managementconceptof“costreduction and eficiencyimprovement”and proposedarapid qualityinspectionmethodthatonlyconducted trendanalysisonkeydata.Firstly，the method introducedatolerance mechanism.By quantifying theacceptablerangeofdata fluctuatios，themechanismscreenedoutnon-criticaldata，reducedtheamountof datatobe processed，andthus improvedtheprocessingeficiencyofthealgorithm.Then，themethoddynamicallymatchedtrend functionsaccording tothequantityofkeydata.Meanwhile，itconstructedaweightederormechanismbycombiningtimedecayandfluctuationsensitivitytoensuretheaccuracyofqualityinspection.Finall，toverifytheefectivenessofthemethod， thestudyconductedexperiments bysimulatingrealindustrialapplicationscenarios.Experimentalresultsshowthatthproposedmethodperforms wellinoperationspeed，accuracyandstability.Itcanefectivelyachievethecoordinatedoptimization of efficiency and precision in the quality inspection of industrial control streaming data.

Key words：industrial control streamingdata（ISD）；costreductionandeficiency improvement；tolerance；trend matching; rapidquality inspection

0 引言

工控流式数据（ISD）是工业控制系统持续产生的数据流，具有实时、多源、高频等特性。（剩余21069字）