基于自适应卡尔曼滤波的电梯楼层识别系统

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中图分类号：TP212；TP391.4 文献标识码：A 文章编号：2096-4706（2026）06-0099-06

Elevator Floor Recognition System Based on Adaptive Kalman Filter

WANXiaoheng，WANGHuaide （TongjiUniversity， Shanghai 201804，China）

Abstract：Elevatorfloor recognition isof great significance in intellgent building management and elevator safety monitoring.Traditionalmethodsbasedonencoderorlimitswitcharecomplex toinstallandhigh inmaintenancecost，while methods basedonsingle barometric presure sensororIertialMeasurement Unit （IMU）are susceptible tonoiseandenvironmental interference.To address these problems，this paper proposes anadaptive Kalman filter method fusing IMUand barometric pressuresensor.This method introduces aresidual statistics-drivencovarianceself-updating mechanisminthefltering process toimprovetherobustness ofheight estimation; meanwhile，itdesignsanonlineclustering strategytorealizeautomaticmodeling offloor height，andcombines directioawarenessconstrainttosuppresstart-stopmisjudgment.Themeasuredresultsshowthat this methodcanachievestableandreliablerecognitioninelevatorsindiferentbuldings，theheightestimationerorisontrolled within the sub-meter range，and therecognition acuracy is significantlyimprovedcompared with traditional fixed-parameter filteringandsingle-sensormethod.Theresearchshows thatthismethodhas goodversatityandengineeringapplicationvalue.

Keywords： elevatorfoorrecognition;adaptive Kalman filter;barometric pressure sensor; IMU; intellgent building

0 引言

电梯楼层识别是智慧楼宇管理与运行监测的重要环节，其准确性直接关系到电梯运行的安全性与能效。（剩余8028字）