基于温湿度传感器的室内环境监测预警研究与应用

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中图分类号：TP212.1 文献标识码：A 文章编号：2096-4706（2025）23-0184-04

Abstract：Aiming at the problems that electronic sensors in indoor environmental monitoring are susceptible to electromagneticinterference，significanttemperatureandhumiditycrosstalk，andhighfalsealarmrateoffixedthreshold algorithm，acollborativesolutionbasedonFabry-Perotinterference-antiresonancecascadesensoranddynamictheshold adaptive algorithm is proposed.The experimental results show that the humidity sensitivity of the sensor is 1.4×10-7/%RH ， the temperature crosstalk is only 0.20%/∘C ，and the24-hour drift is 0.05%RH .Underhigh temperatureandhighhumidity conditions，the sensitivity of 1.8×10-7/%RH and the stability of 0.08%RH/24 h can still be maintained. The corresponding dynamic thresholdadaptive algorithm performs wellincomplexscenariossuchas textile milsand hospitals.Itskeyindicators： false alarm rate of 2.8% ，falsenegative rate of 1.5% ，response delayof 4.2sand workingconditionadaptation time of 3.5min allreachtheleadinglevel.Thisstudyconstructsacomplete technologychain from precisionperception tointeligentdecisionmaking，and providesaninnovativesolutionforaccurateenvironmentalmonitoringinthefeldsofmedical treatmentandcultural security.

KeyWords： temperatureand humiditysensor;indoor environment;monitoringandearlywarning;FPI-AR;DTAA

0 引言

随着科技进步和人民生活水平的不断提高，大众对室内环境的要求越来越高，室内环境质量对人体健康、设备运行和文物保护具有至关重要的影响，特别是在医院、数据中心、博物馆等对温湿度要求严格的场所[1-2]。（剩余6072字）