基于被動和主動降噪的光聲光譜氣體檢測儀背景噪聲控制技術(shù)

摘要：光聲光譜技術(shù)通過檢測微弱的聲壓信敏度具有重要影響。該文首先分析了斬波器機BackgroundNoiseControlofPhotoa(1.ElectricPowerResearchInstitute,Stat2.SF6GasCharacteristic3.InstituteofElectricalEngineering,ChineseAcademyoAbstract：Photoacousticspectroscopynoisecorrespondingtothemodulationfrequencyosensitivity.Firstly,theinfluenceofchoppermechanicaspectrometerisanalyzed,andanapproachusingmelaminefoamboardwithathicknecousticspectrometertorealizepassivenoisereductionisproposed.Then,usingtheprincipleofsuperimpososedinterferencecancellationofsoundwaves,thenoiseissuperimposedwithnoisecontrolmoduleinthesoundreceivinglink,soastorealizetheacanoiseinterferencesimulationexperimentalplatresultsshowthattheproposednoisecancellatioconditionsofmodulationfrequencyof10provedafterusingnoisecancellationtechnology.Itimactivenoise+passivenoisecancellation.pressionmeasuresinthedevelopmentofphotoacousticspectroscopy.Keywords：activenoisecancellatProjectsupportedbyScience&TechnologyProjectofS馬鳳翔，李康，程登峰，等：基于被動和主動降噪的光聲光譜氣體檢測儀背景噪聲控制技術(shù)光聲光譜是一種基于光聲效應(yīng)的先進微量氣光聲光譜儀檢測微弱信號能力通常用信噪比來評本文首先分析了斬波器機械噪聲及環(huán)境噪聲目前主流的光聲光譜氣體檢測儀采用紅外熱光學(xué)窗片/光聲池/斬波器固定支座等傳播至光聲池圖1(b)展示了光聲光譜檢測裝置連續(xù)采集的氣時測量得到的光聲信號)幅值及其均值和標(biāo)準(zhǔn)偏Fig.1Noiseanalysis光譜檢測裝置的背景信號平均值(均值由約81μV集到的光聲信號波動增大(信號標(biāo)準(zhǔn)偏差由約2.3被動降噪技術(shù)指使用聲阻或吸音材料將噪聲單元，對裝置進行密封。平臺中選用標(biāo)準(zhǔn)厚度(30Fig.2AnalysisofenvironmenFig.3Testsetupofpassivenoise馬鳳翔，李康，程登峰，等：基于被動和主動降噪的光聲光譜氣體檢測儀背景噪聲控制技術(shù)Fig.4Photoacousticresponseanalysisofpassivenoiseccellationphotoacoustic獻[20]的定義，按照式(1)可計算得到不同工況下，基于被動噪聲控制技術(shù)的光聲光譜檢測裝置對N2td0Spa(1)fFig.5Photoacousticresponseanalysisofpassi436Fig.6Photoacousticresponseanalysisofpassivenoiseccellationphotoacousti主動噪聲控制技術(shù)是利用聲波在空間的疊加Table2Comparisonofthedetectionperformanceofphotocousticspectroscopybefor/(μV/10–6)/μV(1σ)/10–6(3σ)/10–6前后Fig.7Schematicdiagramoftheworkingprincipleofactive馬鳳翔，李康，程登峰，等：基于被動和主動降噪的光聲光譜氣體檢測儀背景噪聲控制技術(shù)Fig.8Schematicdiagramofactivenoi將搭建的包含主動噪聲模塊的光聲光譜氣體Fig.9Photoacousticresponseanalysisofactivenois2）采用基于疊加相干抵消原理的主動降噪控438Fig.10Photoacousticresponseanalysisofactivecellationphotoacousspectrumofcantileverbeam:quantitTable3Detectionperformanceobeforeandafteractiveno/(μV/10–6)/μV(1σ)/10–6(3σ)/10–6前后波在檢測信號噪聲抑制中的應(yīng)用[J].高電壓技術(shù)，2021，47(7)：detectionofH2SinSF6andapplicationofFFTfilteringinnoisesup-buffergaswithcantilever-enhancedphotoac譜檢測法及其對微量乙炔氣體的檢測[J].高電壓技術(shù)，2020，photoacousticspectroscopybasedonffingtechnologyofSF6photoacousticspectrosccousticcellgeometrica馬鳳翔，李康，程登峰，等：基于被動和主動降噪的光聲光譜氣體檢測儀背景噪聲控制技術(shù)spectroscopy[J].Spectrosco[8]唐炬，程宏圖，曾福平，等.基photoacousticcelldimensEngineering,2022,48(8):289optimizationofphotoacousticcellforphoquantumcascadelaser[J].[11]馬欲飛.基于石英增強光聲光譜的氣體傳感技術(shù)研究進展[J].物photoacousticdetectorwithpulsedbroadbandIRalSpectroscopy,200[13]毛知新，文勁宇.變壓器油中溶解氣體光聲光譜檢測技術(shù)研究[J].tionsofChinaElectrot[15]KUUSELAT,Kpracticalapplications:present,potentialstionpredictioninsubst