浊度在线监测中卡尔曼滤波的优化与应用

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中图分类号：TP212 文献标识码：A DOI编码：10.3969/j.issn.1006—6500.2025.09.012

Abstract：Inordertosolvetheproblemoflargefluctuationandinstabilityofmonitoringdatainturbidityon-linemonitoringanimmersibleturbiditysensorbasedontheprincipleofverticalscateringwasdesigned.Thepulsewidthmodulationtechnologyoflight sourcewasusedtoeliminatetheinfluenceofambientlight.AutomaticrangeswitchingachievedthroughPGAgainampliercircuit. TheKalmanflteralgorithmwasused toprocesstheoutputvoltagesignal.Theexperimentalresultsshowedthatestablishingasuitable turbiditysensorKalmanfilermodelcouldnotonlyreducetheimpactofobservationnoise，butalsoobtainedanaccurateestimateof theoutputstatusoftheturbiditysensor，combiningtrackingandflteringefects.Itwassuitableforreal-timemonitoringof turbidity sensors.Insummary，thedesignedturbiditysensorcanbe widelyusedinvarious monitoring scenariosofagriculturalproductionand has certain practical application value and promotion value.

Key words： turbidity; online monitoring;Kalman filtering

浊度是一项重要的水质综合指标，可以反映水体中泥沙、有机物、微生物等悬浮物的含量，是衡量水污染程度的指标之一，对水质量评价和水环境污染控制具有重要意义。（剩余9736字）