CN102183468A - Interference correction and concentration inversion method of multi-component gas analysis - Google Patents
Interference correction and concentration inversion method of multi-component gas analysis Download PDFInfo
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Abstract
本发明公开了一种多组分气体分析的干扰修正与浓度反演方法。使用参考滤波通道消除外界因素造成的系统漂移；利用水汽对其它滤波通道的干扰函数修正分析仪的使用环境中水汽的干扰；利用互相关函数，通过建立和求解多元干扰方程组，可以获得混合气体中各种目标气体的纯吸光度，修正目标气体间的交叉干扰。干扰修正后，利用各滤波通道的响应函数，反演目标气体的浓度。一台简单的非分散红外分析仪，使用本专利所涉及的干扰修正与浓度反演方法后，使用一个探测器可以同时准确检测多种污染气体的浓度，例如，CO2,CO,NO,NO2,SO2,CH4,N2O,HC，H2O,NH3、H2S等等。
The invention discloses an interference correction and concentration inversion method for multi-component gas analysis. Use the reference filter channel to eliminate system drift caused by external factors; use the interference function of water vapor on other filter channels to correct the interference of water vapor in the analyzer's operating environment; use the cross-correlation function to establish and solve multivariate interference equations to obtain mixed gases The pure absorbance of various target gases in the sample is used to correct the cross-interference between target gases. After interference correction, the concentration of the target gas is retrieved using the response function of each filter channel. A simple non-dispersive infrared analyzer, after using the interference correction and concentration inversion method involved in this patent, can use one detector to accurately detect the concentration of multiple pollutant gases at the same time, for example, CO 2 , CO, NO, NO 2 , SO 2 , CH 4 , N 2 O, HC, H 2 O, NH 3 , H 2 S and so on.
Description
技术领域technical field
本发明涉多组分气体浓度光学测量领域，具体为一种多组分气体分析的干扰修正与浓度反演方法。The invention relates to the field of optical measurement of multi-component gas concentration, in particular to an interference correction and concentration inversion method for multi-component gas analysis.
背景技术Background technique
工业生产中的一些环节，如原料生产、加工过程、燃烧过程、加热和冷却过程、产品整理过程等使用的生产设备或生产场所都可能成为工业污染源。SO2、NO2、NO、CO以及CO2等作为烟气排放的重要组成部分，不仅会破坏大气环境、危害人类健康，也是城市雾霾的重要成因之一，降低城市能见度，破坏地球辐射平衡，影响全球气候。有效地测量烟气中多种组分气体的浓度是控制污染源废气排放的前提条件。Some links in industrial production, such as production equipment or production sites used in raw material production, processing, combustion, heating and cooling, and product finishing, may become sources of industrial pollution. SO 2 , NO 2 , NO, CO and CO 2 are important components of flue gas emissions, which not only damage the atmospheric environment and endanger human health, but are also one of the important causes of urban smog, reducing urban visibility and disrupting the earth's radiation balance. , affecting the global climate. Effectively measuring the concentration of various component gases in flue gas is a prerequisite for controlling the emission of pollution sources.
非分散红外(NDIR)光谱法具有多组分污染物同时监测的能力，这类仪器通常结构简单、成本低、测量精度高、稳定性好，能非常方便地进行人机交互，是电站和焚化炉上连续排放监测系统(CEMS)的理想监测设备。然而非分散红外光谱法所选的中红外气体吸收波段，很多气体之间都存在一定的吸收干扰，包括仪器使用环境中其它气体的干扰(如H2O)和待测目标气体之间的交叉干扰。此外，非分散红外多组分分析仪还面临光源老化、供电电压波动、粒子散射等问题，所有这些都可统称为干扰，如果不加以修正，将会大大影响仪器的检测准确度和灵敏度。因此，有必要研究出一种适用于非分散红外多组分气体分析的干扰修正与浓度反演方法，以确保工业污染源多组分污染气体的准确测量。Non-dispersive infrared (NDIR) spectroscopy has the ability to simultaneously monitor multi-component pollutants. This type of instrument is usually simple in structure, low in cost, high in measurement accuracy, and good in stability. It is very convenient for human-computer interaction. Ideal monitoring equipment for Continuous Emissions Monitoring Systems (CEMS) on furnaces. However, in the mid-infrared gas absorption band selected by non-dispersive infrared spectroscopy, there are certain absorption interferences among many gases, including the interference of other gases in the environment where the instrument is used (such as H 2 O) and the crossover between the target gas to be measured. interference. In addition, non-dispersive infrared multi-component analyzers also face problems such as light source aging, power supply voltage fluctuations, and particle scattering. All of these can be collectively referred to as interference. If not corrected, it will greatly affect the detection accuracy and sensitivity of the instrument. Therefore, it is necessary to develop an interference correction and concentration inversion method suitable for non-dispersive infrared multi-component gas analysis to ensure accurate measurement of multi-component pollution gases from industrial pollution sources.
发明内容Contents of the invention
本发明的目的是提供一种多组分气体分析的干扰修正与浓度反演方法，以解决现有技术易受到干扰导致检测准确度和灵敏度降低的问题。The purpose of the present invention is to provide an interference correction and concentration inversion method for multi-component gas analysis, so as to solve the problem that the prior art is susceptible to interference, which leads to lower detection accuracy and sensitivity.
为了达到上述目的，本发明所采用的技术方案为：In order to achieve the above object, the technical scheme adopted in the present invention is:
多组分气体分析的干扰修正与浓度反演方法，所述多组分气体容置于样品池中，建立参考滤波通道、包括水汽滤波通道的多个目标滤波通道，采用光源通过参考滤波通道向样品池发出参考光、通过多个目标滤波通道向样品池发出多个探测光，采用光探测器作为接收端，所述目标滤波通道与多组分气体中各目标气体组分一一对应，其特征在于：包括以下步骤：Interference correction and concentration inversion method for multi-component gas analysis. The multi-component gas is accommodated in a sample cell, and a reference filter channel, including multiple target filter channels including a water vapor filter channel, is established. The sample cell emits reference light, sends multiple detection lights to the sample cell through multiple target filter channels, and uses a photodetector as the receiving end. The target filter channels correspond to each target gas component in the multi-component gas one by one, and the It is characterized in that: comprising the following steps:
(1)向样品池中通入不同浓度的多组分气体其中一种目标气体组分，通过光探测器接收到的探测光信号得到多组分气体其中一种目标气体组分在各个目标滤波通道中的响应函数，按照上述步骤进而得到多组分气体各个目标气体组分各自在各个目标滤波通道中的响应函数；(1) One of the target gas components of multi-component gases of different concentrations is passed into the sample cell, and the detection light signal received by the photodetector is used to obtain one of the target gas components of the multi-component gas after each target filter The response function in the channel, according to the above steps, the response function of each target gas component of the multi-component gas in each target filter channel is obtained respectively;
(2)向样品池中通入待测多组分气体，根据光探测器接收到的参考光信号得到系统漂移修正测量值，根据光探测器接收到的多个目标滤波通道的探测光信号分别得到多组分气体中各目标气体组分的总吸光度；(2) Introduce the multi-component gas to be measured into the sample cell, and obtain the system drift correction measurement value according to the reference optical signal received by the optical detector. According to the detection optical signals of multiple target filter channels received by the optical detector, respectively Obtain the total absorbance of each target gas component in the multi-component gas;
(3)根据多组分气体中各目标气体组分各自在各个目标滤波通道中的响应函数，通过求解得到各目标气体组分在其各自对应的目标滤波通道的响应函数和各目标气体组分在其他目标滤波通道的响应函数之间的互相关函数，所述互相关函数作为表示各目标气体组分对其他目标滤波通道干扰大小的干扰函数；(3) According to the response functions of each target gas component in each target filter channel in the multi-component gas, the response function of each target gas component in its corresponding target filter channel and the response function of each target gas component are obtained by solving A cross-correlation function between the response functions of other target filter channels, the cross-correlation function is used as an interference function representing the interference of each target gas component to other target filter channels;
(4)通过步骤(2)得到的系统漂移修正测量值分别对步骤(2)得到的多组分气体中各目标气体组分的总吸光度进行修正以消除系统漂移误差，通过步骤(3)得到的多组分气体各目标气体组分其中水汽的干扰函数分别对步骤(2)得到的多组分气体中除水汽外各目标气体组分的总吸光度进行修正，以消除水汽干扰，通过步骤(3)得到的多组分气体除水汽外各目标气体组分的干扰函数对消除水汽干扰后的多组分气体中除水汽外各目标气体组分的总吸光度进行修正，以消除各目标气体组分之间的交叉干扰，最后得到多组分气体中各目标组分气体的纯吸光度；(4) The system drift correction measurement value obtained by step (2) respectively corrects the total absorbance of each target gas component in the multi-component gas obtained by step (2) to eliminate the system drift error, and obtains by step (3) Each target gas component of the multi-component gas wherein the interference function of water vapor is respectively corrected to the total absorbance of each target gas component in the multi-component gas obtained in step (2) except water vapor, to eliminate water vapor interference, through the steps ( 3) The obtained interference function of each target gas component except water vapor in the multi-component gas is corrected for the total absorbance of each target gas component except water vapor in the multi-component gas after eliminating the water vapor interference, so as to eliminate the Cross-interference between components, and finally get the pure absorbance of each target component gas in the multi-component gas;
(5)根据步骤(4)得到的多组分气体中各目标气体组分的纯吸光度，以及多组分气体各个目标气体组分各自在各个目标滤波通道中的响应函数反演得到多组分气体中各目标气体组分的浓度。(5) According to the pure absorbance of each target gas component in the multi-component gas obtained in step (4), and the response function inversion of each target gas component of the multi-component gas in each target filter channel to obtain the multi-component The concentration of each target gas component in the gas.
所述的多组分气体分析的干扰修正与浓度反演方法，其特征在于：所述参考滤波通道、多个目标滤波通道分别由滤光片构成。The interference correction and concentration inversion method for multi-component gas analysis is characterized in that: the reference filter channel and the multiple target filter channels are respectively composed of optical filters.
所述的多组分气体分析的干扰修正与浓度反演方法，其特征在于：所述多组分气体中各目标气体组分各自的总吸光度通过光探测器接收到的多个目标滤波通道的探测光信号分别转换成电压值后计算得到。The method for interference correction and concentration inversion of multi-component gas analysis is characterized in that: the respective total absorbance of each target gas component in the multi-component gas is obtained by the multiple target filter channels received by the photodetector. The detection optical signal is converted into a voltage value and then calculated.
所述的多组分气体分析的干扰修正与浓度反演方法，其特征在于：所述步骤(3)中，消除各目标气体组分之间的交叉干扰时，建立须消除交叉干扰的目标气体组分的纯吸光度、须消除交叉干扰的目标气体组分消除水汽干扰后的总吸光度、除水汽外其他目标气体组分的干扰函数之间的方程：须消除交叉干扰的目标气体组分消除水汽干扰后的总吸光度＝须消除交叉干扰的目标气体组分的纯吸光度+除水汽外其他目标气体组分的干扰函数，将不同的须消除交叉干扰的目标气体组分的方程联立构成多元干扰方程组，通过求解多元干扰方程组得到多组分气体中各目标气体组分的纯吸光度。The interference correction and concentration inversion method for multi-component gas analysis is characterized in that: in the step (3), when eliminating the cross-interference between the target gas components, a target gas that needs to eliminate the cross-interference is established. The equation between the pure absorbance of the component, the total absorbance of the target gas component that needs to eliminate cross-interference after eliminating water vapor interference, and the interference function of other target gas components except water vapor: The target gas component that needs to eliminate cross-interference eliminates water vapor The total absorbance after interference = the pure absorbance of the target gas component that needs to eliminate cross-interference + the interference function of other target gas components except water vapor, and combine the equations of different target gas components that need to eliminate cross-interference to form multivariate interference The pure absorbance of each target gas component in the multi-component gas is obtained by solving the multi-component interference equation system.
本发明是一种基于非分散红外光谱吸收法的多组分气体分析的干扰修正与浓度反演方法。使用参考滤波通道消除外界因素造成的系统漂移；利用水汽对其它滤波通道的干扰函数修正检测环境中水汽的干扰；利用多组分气体除水汽外各目标气体组分的干扰函数，通过建立和求解多元干扰方程组，可以获得多组分气体中各种目标气体组分的纯吸光度，修正目标气体组分间的交叉干扰。干扰修正后，利用多组分气体各个目标气体组分各自在各个目标滤波通道中的响应函数，将纯吸光度反演为目标气体的浓度。The invention is an interference correction and concentration inversion method for multi-component gas analysis based on non-dispersive infrared spectrum absorption method. Use the reference filter channel to eliminate system drift caused by external factors; use the interference function of water vapor on other filter channels to correct the interference of water vapor in the detection environment; use the interference function of each target gas component of multi-component gas except water vapor, through establishment and solution Multivariate interference equations can obtain the pure absorbance of various target gas components in multi-component gases, and correct the cross-interference between target gas components. After interference correction, the pure absorbance is reversed to the concentration of the target gas by using the response functions of each target gas component of the multi-component gas in each target filter channel.
本发明目标气体组分间互相关函数的获取方法如下：The method for obtaining the cross-correlation function between target gas components of the present invention is as follows:
目标气体组分A对目标气体组分B的干扰大小可以用互相关函数(或称干扰函数)定量描述：The interference of target gas component A to target gas component B can be quantitatively described by cross-correlation function (or interference function):
A(τ)：A滤波通道内，目标气体组分A的吸光度与其浓度τ的函数对应关系式，B(τ)：B滤波通道内，目标气体组分A的吸光度与其浓度τ的函数对应关系式，Cmin为分析仪中目标气体组分A的最小检测限，Cmax为目标气体组分A的满量程浓度值。A(τ): In the A filter channel, the functional correspondence between the absorbance of the target gas component A and its concentration τ, B(τ): in the B filter channel, the functional correspondence between the absorbance of the target gas component A and its concentration τ C min is the minimum detection limit of the target gas component A in the analyzer, and C max is the full-scale concentration value of the target gas component A.
本发明与现有技术相比具有以下优点：Compared with the prior art, the present invention has the following advantages:
本发明涉及的多组分气体分析的干扰修正与浓度反演方法，解决了多组分测量中的气体相互干扰问题，提高了测量精度。使用多个滤波通道分别用于多种气体的分析；引入一个参考滤波通道，可以很好地消除外界因素造成的系统漂移；在水汽滤波通道内，不存在任何其它气体的吸收或吸收可忽略，可以很好地修正分析仪的使用环境中水汽的干扰，使分析仪可以正常地工作在潮湿或水汽浓度变化的环境中；计算获取的互相关函数，可以定量分析目标气体间交叉干扰的大小，利用互相关函数，通过建立和求解多元干扰方程组的方法，可以获得混合气体中各种目标气体的纯吸光度，修正目标气体间的交叉干扰。一台简单的非分散红外分析仪，使用本专利所涉及的干扰修正与浓度反演方法后，使用一个探测器就可以同时准确检测多种污染气体的浓度，例如，CO2，CO，NO，NO2，SO2，CH4，N2O，HC，H2O，NH3等等。The interference correction and concentration inversion method for multi-component gas analysis involved in the invention solves the problem of gas mutual interference in multi-component measurement and improves measurement accuracy. Use multiple filter channels for the analysis of various gases respectively; introduce a reference filter channel, which can well eliminate the system drift caused by external factors; in the water vapor filter channel, there is no absorption of any other gas or the absorption can be ignored, It can well correct the interference of water vapor in the environment where the analyzer is used, so that the analyzer can work normally in an environment with humidity or changes in water vapor concentration; the calculated cross-correlation function can quantitatively analyze the size of cross-interference between target gases, Using the cross-correlation function, by establishing and solving the method of multivariate interference equations, the pure absorbance of various target gases in the mixed gas can be obtained, and the cross-interference between the target gases can be corrected. A simple non-dispersive infrared analyzer, after using the interference correction and concentration inversion method involved in this patent, can use one detector to accurately detect the concentration of multiple pollutant gases at the same time, such as CO 2 , CO, NO, NO 2 , SO 2 , CH 4 , N 2 O, HC, H 2 O, NH 3 and so on.
附图说明Description of drawings
图1为本发明流出框图。Fig. 1 is a flow block diagram of the present invention.
图2为应用本发明的实例水汽干扰消除前后变化规律图，其中：Fig. 2 is the figure of changing law before and after eliminating the example water vapor interference of applying the present invention, wherein:
图2(a)为分别往样品池中通入0.5％，1.5％，2.5％，3.5％，4.5％浓度的H2O时，干扰水汽修正前各个滤波通道的吸光度变化规律图；图2(b)为干扰水汽修正后各个滤波通道的吸光度变化规律图。Fig. 2(a) is a diagram of the change law of absorbance of each filter channel before interfering water vapor correction when 0.5%, 1.5%, 2.5%, 3.5%, and 4.5% concentration of H 2 O are respectively passed into the sample cell; Fig. 2 ( b) It is the graph of the change law of absorbance of each filter channel after the correction of interfering water vapor.
图3为应用本发明的实例交叉干扰消除前后变化规律图，其中：Fig. 3 is a diagram of the law of change before and after the cross-interference elimination of the example of the application of the present invention, wherein:
图3(a)为分别往样品池中通入2.50％，7.50％，12.50％，17.50％，22.50％浓度的CO2时，交叉干扰修正前各个滤波通道的吸光度变化规律图；图3(b)为交叉干扰修正后各个滤波通道的吸光度变化规律图。Fig. 3 (a) is to pass into 2.50%, 7.50%, 12.50%, 17.50%, 22.50% concentration CO respectively in the sample cell 2 , the absorbance change law figure of each filter channel before cross-interference correction; Fig. 3 (b ) is the graph of absorbance variation of each filter channel after cross-interference correction.
具体实施方式Detailed ways
如图1～图3所示。本发明中，参考滤波通道的滤光片带宽内不存在任何气体吸收或吸收可以忽略，任意时刻外界干扰造成的信号波动(如：光源老化，电压波动，尘埃散射等等)幅度与目标气体滤波通道相同，利用参考滤波通道的信号修正外界波动带来的干扰。As shown in Figure 1 to Figure 3. In the present invention, there is no gas absorption or absorption in the filter bandwidth of the reference filter channel, and the signal fluctuation (such as: light source aging, voltage fluctuation, dust scattering, etc.) caused by external interference at any time has the same amplitude as the target gas filter The channels are the same, and the interference caused by external fluctuations is corrected by using the signal of the reference filter channel.
本发明利用不同频带的吸光度反演不同气体的浓度，例如：以中心透过波长为3.26μm的滤波通道反演CH4的浓度；以中心透过波长为4.63μm的滤波通道反演CO的浓度；以中心透过波长为5.21μm的滤波通道反演NO的浓度；以中心透过波长为6.25μm的滤波通道反演NO2的浓度；以中心透过波长为4.84μm的滤波通道反演CO2的浓度，等等。The present invention utilizes the absorbance of different frequency bands to invert the concentration of different gases, for example: to invert the concentration of CH4 with a filter channel with a central transmission wavelength of 3.26 μm; to invert the concentration of CO with a filter channel with a central transmission wavelength of 4.63 μm ; Use the filter channel with a central transmission wavelength of 5.21 μm to invert the concentration of NO; use the filter channel with a central transmission wavelength of 6.25 μm to invert the concentration of NO 2 ; use the filter channel with a central transmission wavelength of 4.84 μm to invert the concentration of CO 2 concentrations, and so on.
本发明利用水汽滤波通道修正水汽对目标气体的干扰，该滤波通道的光信号只反映检测环境中H2O的变化，利用水汽吸光度及水汽对其它目标气体组分的干扰函数，修正水汽对待测多组分气体的干扰，提高系统的检测灵敏度和准确度。The present invention uses a water vapor filter channel to correct the interference of water vapor on the target gas. The optical signal of the filter channel only reflects the change of H2O in the detection environment, and uses the absorbance of water vapor and the interference function of water vapor to other target gas components to correct the water vapor to be tested. The interference of multi-component gases improves the detection sensitivity and accuracy of the system.
本发明通过往样品池中通入不同浓度的某一目标气体组分X，可以拟合出目标气体组分X在各个目标滤波通道的响应函数。The present invention can fit the response function of the target gas component X in each target filter channel by passing a certain target gas component X with different concentrations into the sample cell.
本发明通过往样品池中通入不同浓度的H2O，可以拟合出H2O在各个滤波通道的响应函数。例如：H2O在H2O滤波通道的响应函数F0(X)；H2O在SO2滤波通道的响应函数F1(X)；H2O在CO2滤波通道的响应函数F2(X)；H2O在NO2滤波通道的响应函数F3(X)；H2O在NO滤波通道的响应函数F4(X)等等。通过求解Fi(X)(i＝1、2、3、4……)与F0(X)的相关函数Fi0(X)可以定量分析H2O对各个目标滤波通道的干扰大小，例如：F10(X)可以定量分析H2O对SO2滤波通道的干扰大小；F20(X)可以定量分析H2O对CO2滤波通道的干扰大小；F30(X)可以定量分析H2O对NO2滤波通道的干扰大小；F40(X)可以定量分析H2O对NO滤波通道的干扰大小等等。The present invention can fit the response function of H2O in each filter channel by passing H2O of different concentrations into the sample pool. For example: the response function F 0 (X) of H 2 O in the H 2 O filter channel; the response function F 1 (X) of H 2 O in the SO 2 filter channel; the response function F 2 of H 2 O in the CO 2 filter channel (X); the response function F 3 (X) of H 2 O in the NO 2 filter channel; the response function F 4 (X) of H 2 O in the NO filter channel, and so on. By solving the correlation function F i0 (X) between F i (X) (i=1, 2, 3, 4...) and F 0 ( X), the interference of H 2 O to each target filter channel can be quantitatively analyzed, for example : F 10 (X) can quantitatively analyze the interference of H 2 O to the SO 2 filter channel; F 20 (X) can quantitatively analyze the interference of H 2 O to the CO 2 filter channel; F 30 (X) can quantitatively analyze the H 2 O interference to NO 2 filter channel; F 40 (X) can quantitatively analyze H 2 O interference to NO filter channel and so on.
本发明通过往样品池中通入不同浓度的某一目标气体组分X，可以拟合出目标气体组分X在各个目标滤波通道的响应函数。例如：通入不同浓度的SO2，可以得出SO2在SO2滤波通道的响应函数A0(X)；SO2在CO2滤波通道的响应函数A1(X)；SO2在NO2滤波通道的响应函数A2(X)；SO2在NO滤波通道的响应函数A3(X)；SO2在CO滤波通道的响应函数A4(X)等等。通过求解Ai(X)(i＝1、2、3、4……)与A0(X)的相关函数Ai0(X)可以定量分析SO2对各个目标滤波通道的干扰大小，例如：A10(X)可以定量分析SO2对CO2滤波通道的交叉干扰大小；A20(X)可以定量分析SO2对NO2滤波通道的交叉干扰大小；A30(X)可以定量分析SO2对NO滤波通道的交叉干扰大小；A40(X)可以定量分析SO2对CO滤波通道的交叉干扰大小等等。同理可以定量求出其它目标气体如：CO2、NO2、NO、CO、CH4、N2O、HC对各个目标滤波通道的干扰大小。The present invention can fit the response function of the target gas component X in each target filter channel by passing a certain target gas component X with different concentrations into the sample cell. For example: by injecting different concentrations of SO 2 , the response function A 0 (X) of SO 2 in the SO 2 filter channel can be obtained; the response function A 1 (X) of SO 2 in the CO 2 filter channel; the response function of SO 2 in the NO 2 filter channel The response function A 2 (X) of the filter channel; the response function A 3 (X) of SO 2 in the NO filter channel; the response function A 4 (X) of SO 2 in the CO filter channel, etc. By solving the correlation function A i0 (X) of A i (X) (i=1, 2, 3, 4...) and A 0 (X), it is possible to quantitatively analyze the interference of SO 2 to each target filter channel, for example: A 10 (X) can quantitatively analyze the cross interference of SO 2 to CO 2 filter channel; A 20 (X) can quantitatively analyze the cross interference of SO 2 to NO 2 filter channel; A 30 (X) can quantitatively analyze SO 2 Cross-interference to NO filter channel; A 40 (X) can quantitatively analyze the cross-interference of SO 2 to CO filter channel and so on. In the same way, the interference of other target gases such as CO 2 , NO 2 , NO, CO, CH 4 , N 2 O, and HC on each target filter channel can be calculated quantitatively.
本发明当样品池中存在多种不同浓度的目标气体组分时，通过光探测器探测转换后的电压值可以首先计算出各个目标气体组分的总吸光度，例如：H2O总吸光度
本发明中，由于目标气体组分之间的交叉干扰比较复杂，可能两两之间都存在干扰，可以通过建立多元干扰方程组的方法加以修正，利用各个目标气体组分修正干扰水汽后的总吸光度和一系列干扰函数可以达到以上目的。以三组分目标气体交叉干扰修正为例，如果SO2修正干扰水汽后的总吸光度为
求解该方程组可以分别得到三种目标气体SO2、CO2、NO2的纯吸光度 干扰修正后的吸光度可以直接用于气体浓度反演。使用同样的方法还可以解析CO2，CO，NO，NO2，SO2，CH4，N2O，HC，NH3，H2O等组分气体同时在线分析时的交叉干扰修正。The pure absorbance of the three target gases SO 2 , CO 2 , and NO 2 can be obtained by solving the equations The absorbance after interference correction can be directly used for gas concentration inversion. Using the same method, it can also analyze the cross-interference correction of CO 2 , CO, NO, NO 2 , SO 2 , CH 4 , N 2 O, HC, NH 3 , H 2 O and other component gases when they are analyzed online simultaneously.
本发明多组分气体分析时，每一组分气体的浓度反演都要完成以下几个步骤：When analyzing multi-component gases in the present invention, the concentration inversion of each component gas must complete the following steps:
(1)消除硬件波动或系统漂移；(2)实现零补偿并修正水汽干扰；(3)修正目标气体间的交叉干扰；(4)反演目标气体的浓度。(1) Eliminate hardware fluctuations or system drift; (2) Realize zero compensation and correct water vapor interference; (3) Correct cross-interference between target gases; (4) Invert the concentration of target gases.
以目标气体NO为例，在反演气体浓度过程中，要考虑以下几点修正：Taking the target gas NO as an example, in the process of inversion of gas concentration, the following corrections should be considered:
漂移修正测量值：AN0＝ln(Vref’/VN0’).....................(1)Drift Corrected Measured Value: A N0 ＝ln(V ref '/V N0 ')..........(1)
零补偿测量值：AN0(1)-FZ-UZ........................(2)Zero Compensation Measured Value: A N0 (1)-FZ-UZ..........(2)
干扰气体：CO2，NO2，SO2 Interfering gases: CO 2 , NO 2 , SO 2
干扰修正测量值：AN0＝(2)-干扰项(CO2，NO2，SO2)...(3)Interference correction measurement value: A N0 = (2) - interference item (CO 2 , NO 2 , SO 2 )...(3)
NO浓度反演：(3)→NO浓度..............................(4)Inversion of NO concentration: (3)→NO concentration................................(4)
第一步[式(1)]：引入一个参考滤波通道，将测量值转化为吸光度，消除任何外界原因造成的系统漂移：粒子的散射、分析仪窗片沉积物的消光效应、老化或电压波动导致的光源信号强度变化等等，完成此步骤得到漂移修正测量值。Step 1 [Equation (1)]: Introduce a reference filter channel to convert the measured value into absorbance and eliminate any system drift caused by external causes: scattering of particles, extinction effect of analyzer window deposits, aging or voltage fluctuations The resulting changes in the signal strength of the light source, etc., complete this step to obtain the drift correction measurement value.
第二步[式(2)]：这里的FZ为厂家校正项，是在绝对零气(干燥且不含红外吸收污染物)条下获得的值。对NO而言，FZ＝ln(Vref/VNO)。值得注意的是，不同目标气体，FZ值不同，如对CO2而言，FZ＝ln(Vref/VCO2)；对SO2而言，FZ＝ln(Vref/VSO2)，如此等等。UZ为用户校准项，现场零校准时引入的补偿值，为现场零气(含有部分水汽但不含红外吸收污染物)条件下获得的值，其实UZ就是‘现场零点’与‘绝对零点’的差值。同样，目标气体不同，UZ也不同，且不同场合，不同测量时间，都有可能不同，即UZ受环境影响很大，每次进行现场零校准都有可能不同，完成此步骤能修正水汽干扰的影响，得到零补偿测量值。The second step [Formula (2)]: FZ here is the manufacturer's correction item, which is the value obtained under the condition of absolute zero gas (dry and free of infrared-absorbing pollutants). For NO, FZ=In(V ref /V NO ). It is worth noting that different target gases have different FZ values, for example, for CO 2 , FZ=ln(V ref /V CO2 ); for SO 2 , FZ=ln(V ref /V SO2 ), and so on wait. UZ is a user calibration item. The compensation value introduced during on-site zero calibration is the value obtained under the condition of on-site zero air (containing some water vapor but not containing infrared absorbing pollutants). In fact, UZ is the difference between "on-site zero" and "absolute zero". difference. Similarly, the target gas is different, and the UZ is also different, and different occasions and different measurement times may be different, that is, the UZ is greatly affected by the environment, and each time the on-site zero calibration is performed, it may be different. Completing this step can correct the water vapor interference. effect, to obtain a zero-compensated measurement.
第三步[式(3)]：多元方程组的建立与求解过程，完成此步骤能修正目标气体间的交叉干扰，得到干扰修正测量值，即各目标气体的纯吸光度。The third step [Formula (3)]: the establishment and solution process of multivariate equations. Completing this step can correct the cross-interference between target gases, and obtain the interference-corrected measurement value, that is, the pure absorbance of each target gas.
第四步[式(4)]：利用NO在NO滤波通道的响应函数将干扰修正后的纯吸光度反演为气体的浓度。The fourth step [Formula (4)]: use the response function of NO in the NO filter channel to invert the pure absorbance after interference correction into the gas concentration.
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