Intelligent fixed source waste gas on-line monitoring system and method

Abstract

The invention discloses an intelligent fixed source waste gas online monitoring system and method, and belongs to the technical field of waste gas monitoring. According to the invention, waste gas data of a waste gas emission point are collected and measured, and collected and measured waste gas parameter data and waste gas concentration data are transmitted to a data management center for management and storage; constructing a first waste gas concentration floating model according to the total power of the front-end production group equipment, the power of the waste gas treatment equipment and the treated first waste gas concentration data; performing waste gas parameter quality evaluation, constructing a second waste gas floating model according to a waste gas parameter quality evaluation result, and correcting the waste gas concentration data; and performing waste gas concentration quality evaluation on the corrected waste gas concentration data, performing early warning prompt on a user according to a waste gas concentration quality evaluation result, and automatically adjusting the power of waste gas treatment equipment. The accuracy of the system is improved, the emission quality of waste gas is effectively controlled, and the ecological environment is protected.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas monitoring, and in particular to an intelligent online monitoring system and method for waste gas from a fixed source. Background Art

[0002] Total hydrocarbons, methane and non-methane total hydrocarbons are all volatile organic compounds, which are important precursors to the formation of secondary pollutants such as fine particulate matter and ozone, and thus cause atmospheric environmental problems such as haze and photochemical smog. Therefore, in order to fundamentally solve the pollution problem and effectively improve the quality of the atmospheric environment, the country actively promotes the pollution prevention and control of key volatile organic compounds.

[0003] However, volatile organic compounds in industrial production activities sometimes exist in the presence of high humidity, high pressure or high flow rate, which affects the flow rate of exhaust gas inhaled by the exhaust gas sampling probe, thereby affecting the concentration measurement, which can easily cause inaccurate measurements. In the prior art, structural modifications to components in measuring instruments are often used to improve the measuring instruments before they are improved. This cannot solve the problem of inaccurate measurements, and the cost of the modification is high. Precision instruments are easily damaged. In the prior art, there is no adaptive adjustment of the operating power of the exhaust gas treatment equipment.

[0004] Therefore, the present invention discloses an intelligent fixed source exhaust gas online monitoring system and method to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent online monitoring system and method for fixed source exhaust gas to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent online monitoring method for fixed source exhaust gas, the method comprising the following steps: S1: Use transmitters and exhaust gas concentration measuring equipment to collect and measure exhaust gas parameter data and exhaust gas concentration data at each exhaust gas emission point in the factory, and transmit the collected and measured exhaust gas parameter data and exhaust gas concentration data to the data management center for management and storage; S2: extract the exhaust gas emission point to obtain the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment, and build a first exhaust gas concentration floating model based on the total power of the front-end production group equipment, the power of the exhaust gas treatment equipment and the processed first exhaust gas concentration data; S3: using the exhaust gas parameter data to evaluate the exhaust gas parameter quality, constructing a second exhaust gas floating model according to the exhaust gas parameter quality evaluation result, and correcting the exhaust gas concentration data according to the second exhaust gas floating model; S4: Conduct exhaust gas concentration quality assessment on the calibrated exhaust gas concentration data, issue early warning prompts to users based on the exhaust gas concentration quality assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0007] According to the above scheme, in step S1, the transmitter includes an exhaust gas temperature transmitter, an exhaust gas flow rate transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter and an oxygen content transmitter; Transmitters are used in the system instead of ordinary sensors. Transmitters have a certain amplification effect and can more effectively measure small data changes and improve measurement accuracy. The exhaust gas parameter data includes exhaust gas temperature data, exhaust gas flow rate data, exhaust gas pressure data, exhaust gas humidity data and exhaust gas oxygen content data; The exhaust gas concentration measuring equipment includes an exhaust gas sampling probe, an exhaust gas pretreatment device, a flow controller and an online gas chromatograph; The exhaust gas concentration measuring device also includes an operating auxiliary gas source device, which is loaded with a zero-level air generator, a hydrogen generator and a carrier gas; The exhaust gas concentration data is obtained by obtaining the original exhaust gas through the exhaust gas sampling probe, and the original exhaust gas is input into the exhaust gas pretreatment device. The pretreated exhaust gas is transmitted to the online gas chromatograph using a flow controller to measure the type and concentration of the exhaust gas.

[0008] According to the above scheme, in step S2, the exhaust gas emission point with serial number i is recorded as REE i , where i∈[1,N], N represents the number of exhaust gas emission monitoring points in the factory; For exhaust gas emission points REE i , select one of the exhaust gases to build the model, and extract the first exhaust gas concentration data that has appeared based on the same total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to form a first exhaust gas concentration data set; Select one type of exhaust gas to build a model, and then build models for all types of exhaust gas, so that each type of exhaust gas corresponds to a model, which can more accurately calibrate the exhaust gas concentration data and improve the accuracy of the system; The maximum value in the first exhaust gas concentration data set is matched with the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to generate all data combinations to form the first exhaust gas concentration floating set, denoted as FEE={(FP j , E.P. j , EGC max j )|j∈[1,M]}; where (FP j , E.P. j , EGC max j) represents the data combination with sequence number j; FP j Indicates the total power of the front-end production group equipment with serial number j, EP j Indicates the power of the exhaust gas treatment equipment with serial number j, EGC max j represents the maximum value of the first exhaust gas concentration data with sequence number j, and M represents the total number of data combinations in the first exhaust gas concentration floating set; The first exhaust gas concentration floating model is constructed according to the first exhaust gas concentration floating set. The specific expression of the first exhaust gas concentration floating model is as follows: EGC max =δ1×EP+δ2×FP+δ3; EP is the independent variable of the power of the exhaust gas treatment equipment, FP is the independent variable of the total power of the front-end production group equipment, and EGC max The dependent variable represents the maximum value of the first exhaust gas concentration data, and δ1, δ2 and δ3 represent fitting coefficients; δ1, δ2 and δ3 are calculated and solved.

[0009] A bad measurement environment affects the concentration measurement, which can easily cause inaccurate measurements and make the final measurement value smaller. The maximum value of the first exhaust gas concentration data is the most accurate measurement value that the system can measure. Under the premise of using the same total power of the front-end production group equipment and the power of the exhaust gas treatment equipment, the maximum value of the first exhaust gas concentration data forms a first exhaust gas concentration floating set. The first exhaust gas concentration floating model is constructed based on the first exhaust gas concentration floating set, which can more accurately obtain the relationship between the true measurement value and the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment; improve the accuracy of subsequent corrections; According to the above scheme, in step S3, under the premise that the power of the exhaust gas treatment equipment and the total power of the front-end production group equipment remain unchanged, the exhaust gas parameter quality assessment is performed based on the exhaust gas parameter data. The specific calculation formula is as follows: ; EPQ stands for the exhaust gas parameter quality evaluation value, EGP u Represents the u-th exhaust gas parameter data, α u represents the weight of the u-th exhaust gas parameter data; The exhaust gas parameter quality evaluation value and the first exhaust gas concentration data are combined into a second exhaust gas concentration data set, denoted as SEE={(EPQ1, EGC1), (EPQ2, EGC2), …, (EPQ v , EGC v )};in v Represents the total number of elements in the second exhaust gas concentration data set, where EGC1=EGC max ; The second exhaust gas floating model is constructed according to the second exhaust gas concentration data set. The specific expression of the second exhaust gas floating model is as follows: EGC = (δ÷EPQ) ε ; Wherein δ represents the fitting coefficient, ε represents the correction coefficient, EGC represents the dependent variable of the first exhaust gas concentration data, and EPQ represents the independent variable of the exhaust gas parameter quality assessment value; δ and ε are calculated and solved; The change of exhaust gas parameters reflects the bad measurement environment. The second exhaust gas floating model is constructed by combining the exhaust gas parameter quality assessment value with the first exhaust gas concentration data, which can effectively correlate the exhaust gas parameters and the first exhaust gas concentration data, quantify the measurement environment changes and the final measured first exhaust gas concentration data, and provide a more accurate numerical basis for subsequent correction; A threshold is set for the exhaust gas parameter quality assessment value. If the exhaust gas parameter quality assessment value is greater than the set threshold, the exhaust gas parameter quality assessment value is substituted into the fitted second exhaust gas floating model, and the calculated value is recorded as the first exhaust gas concentration correction data.

[0010] According to the above scheme, in step S4, the exhaust gas concentration data of all exhaust gas types are subjected to the data correction in steps S2 and S3, and the exhaust gas concentration quality assessment is performed based on the first exhaust gas concentration correction data of all exhaust gas types. A threshold is set for the exhaust gas concentration quality assessment value. If the exhaust gas concentration quality assessment value is less than or equal to the threshold, no warning prompt will be given to the user; If the exhaust gas concentration quality assessment value is greater than the threshold, the user will be warned; Substitute the maximum value of the first exhaust gas concentration correction data of all exhaust gas types and the total power of the front-end production group equipment into the first exhaust gas concentration floating model to calculate the power of the exhaust gas treatment equipment; The exhaust gas treatment equipment is automatically adjusted according to the calculated exhaust gas treatment equipment power.

[0011] Setting a threshold for the exhaust gas concentration quality assessment value can effectively screen out the situation of poor measurement environment, correct the first exhaust gas concentration data measured when the measurement environment is poor, improve the accuracy of the system, prevent the emission of a large amount of unqualified exhaust gas due to inaccurate measurement system, and protect the ecological environment; The power of the exhaust gas treatment equipment is calculated based on the first exhaust gas concentration correction data and the first exhaust gas concentration floating model, and the power of the exhaust gas treatment equipment is automatically adjusted, which can effectively control the emission quality of the exhaust gas and further protect the ecological environment.

[0012] Another aspect of the present application provides an intelligent online monitoring system for fixed source exhaust gas, which is applied to the above-mentioned intelligent online monitoring method for fixed source exhaust gas, and the system includes an exhaust gas data acquisition module, a data management center, a first model building module, a data correction module and an early warning control module; The exhaust gas data collection module collects and measures the exhaust gas parameter data and exhaust gas concentration data of each exhaust gas emission point in the factory; The data management center is used to manage and store all data collected, measured and subsequently analyzed; The first model building module builds a first exhaust gas concentration floating model according to the total power of the front-end production group equipment, the power of the exhaust gas treatment equipment and the processed first exhaust gas concentration data; The data correction module uses the exhaust gas parameter data to perform exhaust gas parameter quality assessment, constructs a second exhaust gas floating model according to the exhaust gas parameter quality assessment result, and corrects the exhaust gas concentration data according to the second exhaust gas floating model; The early warning control module is used to perform an exhaust gas concentration quality assessment on the corrected exhaust gas concentration data, issue an early warning prompt to the user based on the exhaust gas concentration quality assessment result, and automatically adjust the power of the exhaust gas treatment equipment.

[0013] According to the above scheme, the exhaust gas data acquisition module includes a transmitter and an exhaust gas concentration measurement device; The transmitters include an exhaust gas temperature transmitter, an exhaust gas flow rate transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter and an oxygen content transmitter; The exhaust gas concentration measuring device comprises an exhaust gas sampling probe, an exhaust gas pretreatment device, a flow controller and an online gas chromatograph.

[0014] According to the above solution, the first model building module includes an exhaust data integration unit and a model building unit; The exhaust gas data integration unit is used to select one of the exhaust gases for model construction, extract all the first exhaust gas concentration data that have appeared with the same front-end production group equipment total power and exhaust gas treatment equipment power, and form a first exhaust gas concentration data set; match the maximum value in the first exhaust gas concentration data set with the front-end production group equipment total power and exhaust gas treatment equipment power, and generate all data combinations to form a first exhaust gas concentration floating set; The model building unit builds a first exhaust gas concentration floating model according to the first exhaust gas concentration floating set, and calculates and solves the fitting coefficients in the model.

[0015] According to the above scheme, the data correction module includes an exhaust gas parameter quality assessment unit and a concentration data correction unit; The exhaust gas parameter quality evaluation unit is used to evaluate the exhaust gas parameter quality according to the exhaust gas parameter data, and to construct a second exhaust gas floating model according to the exhaust gas parameter quality evaluation value, under the premise that the exhaust gas treatment equipment power and the total power of the front-end production group equipment remain unchanged; The concentration data correction unit sets a threshold value for the exhaust gas parameter quality assessment value, performs numerical calculation according to the second exhaust gas floating model, and records the calculated value as the first exhaust gas concentration correction data.

[0016] According to the above scheme, the early warning control module includes an exhaust gas concentration quality assessment unit and a control and adjustment unit; The exhaust gas concentration quality assessment unit performs exhaust gas concentration quality assessment based on the first exhaust gas concentration correction data of all exhaust gas types, sets a threshold for the exhaust gas concentration quality assessment value, and issues an early warning prompt to the user when the exhaust gas concentration quality assessment value is greater than the threshold; The control and adjustment unit substitutes the maximum value of the first exhaust gas concentration correction data of all exhaust gas types and the total power of the front-end production group equipment into the first exhaust gas concentration floating model to calculate the power of the exhaust gas treatment equipment; and automatically adjusts the exhaust gas treatment equipment according to the calculated exhaust gas treatment equipment power.

[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: one type of exhaust gas is selected for model construction, and subsequently models are constructed for all types of exhaust gas, so that each type of exhaust gas corresponds to a model, and the exhaust gas concentration data can be corrected more accurately, thereby improving the accuracy of the system; the maximum value of the first exhaust gas concentration data is used to form a first exhaust gas concentration floating set, and a first exhaust gas concentration floating model is constructed according to the first exhaust gas concentration floating set, so that the relationship between the real measurement value and the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment can be obtained more accurately; the accuracy of subsequent corrections is improved; the exhaust gas parameters and the first exhaust gas concentration data are effectively combined. The system can generate correlation between the exhaust gas concentration data, quantify the measurement environment changes and the final measured first exhaust gas concentration data, and provide a more accurate numerical basis for subsequent corrections; effectively screen out the situations where the measurement environment is poor, and correct the first exhaust gas concentration data measured when the measurement environment is poor, so as to improve the accuracy of the system and prevent the emission of a large amount of unqualified exhaust gas due to inaccurate measurement system, thereby protecting the ecological environment; the power of the exhaust gas treatment equipment is calculated according to the first exhaust gas concentration correction data and the first exhaust gas concentration floating model, and the power of the exhaust gas treatment equipment is automatically adjusted, which can effectively control the emission quality of the exhaust gas and further protect the ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a flow chart of an intelligent online monitoring method for fixed source exhaust gas of the present invention; Figure 2 It is a structural schematic diagram of an intelligent online monitoring system for fixed source exhaust gas of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example 1: Please refer to Figure 1 The present invention provides a technical solution: an intelligent online monitoring method for fixed source exhaust gas, the method comprising the following steps: S1: Use transmitters and exhaust gas concentration measuring equipment to collect and measure exhaust gas parameter data and exhaust gas concentration data at each exhaust gas emission point in the factory, and transmit the collected and measured exhaust gas parameter data and exhaust gas concentration data to the data management center for management and storage; According to the above scheme, in step S1, the transmitter includes an exhaust gas temperature transmitter, an exhaust gas flow rate transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter and an oxygen content transmitter; The exhaust gas parameter data includes exhaust gas temperature data, exhaust gas flow rate data, exhaust gas pressure data, exhaust gas humidity data and exhaust gas oxygen content data; The exhaust gas concentration measurement equipment includes an exhaust gas sampling probe, an exhaust gas pretreatment device, a flow controller and an online gas chromatograph; The exhaust gas concentration measuring device also includes an operating auxiliary gas source device, which is loaded with a zero-level air generator, a hydrogen generator and a carrier gas; The exhaust gas concentration data is obtained by obtaining the original exhaust gas through the exhaust gas sampling probe, and the original exhaust gas is input into the exhaust gas pretreatment device. The pretreated exhaust gas is transmitted to the online gas chromatograph using a flow controller to measure the type and concentration of the exhaust gas.

[0021] S2: extract the exhaust gas emission point to obtain the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment, and build a first exhaust gas concentration floating model based on the total power of the front-end production group equipment, the power of the exhaust gas treatment equipment and the processed first exhaust gas concentration data; According to the above scheme, in step S2, the exhaust gas emission point with serial number i is recorded as REE i , where i∈[1,N], N represents the number of exhaust gas emission monitoring points in the factory; For exhaust gas emission points REEi , select one of the exhaust gases to build the model, and extract the first exhaust gas concentration data that has appeared based on the same total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to form a first exhaust gas concentration data set; The maximum value in the first exhaust gas concentration data set is matched with the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to generate all data combinations to form the first exhaust gas concentration floating set, denoted as FEE={(FP j , E.P. j , EGC max j )|j∈[1,M]}; where (FP j , E.P. j , EGC max j ) represents the data combination with sequence number j; FP j Indicates the total power of the front-end production group equipment with serial number j, EP j Indicates the power of the exhaust gas treatment equipment with serial number j, EGC max j represents the maximum value of the first exhaust gas concentration data with sequence number j, and M represents the total number of data combinations in the first exhaust gas concentration floating set; The first exhaust gas concentration floating model is constructed according to the first exhaust gas concentration floating set. The specific expression of the first exhaust gas concentration floating model is as follows: EGC max =δ1×EP+δ2×FP+δ3; EP is the independent variable of the power of the exhaust gas treatment equipment, FP is the independent variable of the total power of the front-end production group equipment, and EGC max The dependent variable represents the maximum value of the first exhaust gas concentration data, and δ1, δ2 and δ3 represent fitting coefficients; δ1, δ2 and δ3 are calculated and solved.

[0022] Example 2: Construct a matrix of independent variables, a vector of dependent variables, and a vector of fitting coefficients, denoted as X, Y, and Z. The specific formula is as follows: ; ; ; The first column of the design matrix X is all 1, indicating the intercept term; the following calculation formula is used to calculate and solve δ1, δ2, and δ3. The specific calculation formula is as follows: Z = (X T X) -1 X T Y; It looks like the matrix X TX is a singular matrix and cannot be directly inverted. This usually occurs when there is collinearity between the independent variables. The pseudo-inverse function is used instead of the inverse matrix to calculate the fitting coefficients.

[0023] S3: using the exhaust gas parameter data to evaluate the exhaust gas parameter quality, constructing a second exhaust gas floating model according to the exhaust gas parameter quality evaluation result, and correcting the exhaust gas concentration data according to the second exhaust gas floating model; According to the above scheme, in step S3, under the premise that the power of the exhaust gas treatment equipment and the total power of the front-end production group equipment remain unchanged, the exhaust gas parameter quality assessment is performed based on the exhaust gas parameter data. The specific calculation formula is as follows: ; EPQ stands for the exhaust gas parameter quality evaluation value, EGP u Represents the u-th exhaust gas parameter data, α u represents the weight of the u-th exhaust gas parameter data; The exhaust gas parameter quality evaluation value and the first exhaust gas concentration data are combined into a second exhaust gas concentration data set, denoted as SEE={(EPQ1, EGC1), (EPQ2, EGC2), …, (EPQ v , EGC v )};in v Represents the total number of elements in the second exhaust gas concentration data set, where EGC1=EGC max ; The second exhaust gas floating model is constructed according to the second exhaust gas concentration data set. The specific expression of the second exhaust gas floating model is as follows: EGC = (δ÷EPQ) ε ; Wherein δ represents the fitting coefficient, ε represents the correction coefficient, EGC represents the dependent variable of the first exhaust gas concentration data, and EPQ represents the independent variable of the exhaust gas parameter quality assessment value; δ and ε are calculated and solved; The fitting coefficients can be calculated using the least squares method, gradient descent method, regularization method, least absolute deviation regression or principal component regression.

[0024] A threshold is set for the exhaust gas parameter quality assessment value. If the exhaust gas parameter quality assessment value is greater than the set threshold, the exhaust gas parameter quality assessment value is substituted into the fitted second exhaust gas floating model, and the calculated value is recorded as the first exhaust gas concentration correction data.

[0025] S4: Conduct exhaust gas concentration quality assessment on the calibrated exhaust gas concentration data, issue early warning prompts to users based on the exhaust gas concentration quality assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0026] According to the above scheme, in step S4, the exhaust gas concentration data of all exhaust gas types are subjected to the data correction in steps S2 and S3, and the exhaust gas concentration quality assessment is performed based on the first exhaust gas concentration correction data of all exhaust gas types. The exhaust gas concentration quality assessment sets weight values ​​for all exhaust gas types, and calculates the exhaust gas concentration quality assessment value by multiplying and summing the weights and concentrations as a whole; A threshold is set for the exhaust gas concentration quality assessment value. If the exhaust gas concentration quality assessment value is less than or equal to the threshold, no warning prompt will be given to the user; If the exhaust gas concentration quality assessment value is greater than the threshold, the user will be warned; Substitute the maximum value of the first exhaust gas concentration correction data of all exhaust gas types and the total power of the front-end production group equipment into the first exhaust gas concentration floating model to calculate the power of the exhaust gas treatment equipment; The exhaust gas treatment equipment is automatically adjusted according to the calculated exhaust gas treatment equipment power.

[0027] Example 3: Please refer to Figure 2 , the present invention provides a technical solution: another aspect of the present application provides an intelligent online monitoring system for fixed source exhaust gas, the system is applied to the above-mentioned intelligent online monitoring method for fixed source exhaust gas, the system includes an exhaust gas data acquisition module, a data management center, a first model building module, a data correction module and an early warning control module; The exhaust gas data collection module collects and measures the exhaust gas parameter data and exhaust gas concentration data of each exhaust gas emission point in the factory; The data management center is used to manage and store all data collected, measured and subsequently analyzed; The first model building module builds a first exhaust gas concentration floating model according to the total power of the front-end production group equipment, the power of the exhaust gas treatment equipment and the processed first exhaust gas concentration data; The data correction module uses the exhaust gas parameter data to evaluate the exhaust gas parameter quality, constructs a second exhaust gas floating model according to the exhaust gas parameter quality evaluation result, and corrects the exhaust gas concentration data according to the second exhaust gas floating model; The early warning control module is used to perform exhaust gas concentration quality assessment on the calibrated exhaust gas concentration data, issue early warning prompts to users based on the exhaust gas concentration quality assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0028] According to the above scheme, the exhaust gas data acquisition module includes a transmitter and an exhaust gas concentration measurement device; The transmitters include exhaust gas temperature transmitter, exhaust gas flow rate transmitter, exhaust gas pressure transmitter, exhaust gas humidity transmitter and oxygen content transmitter; The exhaust gas concentration measurement equipment includes an exhaust gas sampling probe, an exhaust gas pretreatment device, a flow controller and an online gas chromatograph.

[0029] According to the above solution, the first model building module includes an exhaust data integration unit and a model building unit; The exhaust gas data integration unit is used to select one of the exhaust gases for model construction, and extract the first exhaust gas concentration data that has appeared on the premise of the same total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to form a first exhaust gas concentration data set; match the maximum value in the first exhaust gas concentration data set with the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment, and generate all data combinations to form a first exhaust gas concentration floating set; The model building unit builds a first exhaust gas concentration floating model according to the first exhaust gas concentration floating set, and calculates and solves the fitting coefficients in the model.

[0030] According to the above scheme, the data correction module includes an exhaust gas parameter quality assessment unit and a concentration data correction unit; The exhaust gas parameter quality evaluation unit is used to evaluate the exhaust gas parameter quality according to the exhaust gas parameter data under the premise that the power of the exhaust gas treatment equipment and the total power of the front-end production group equipment remain unchanged, and to construct a second exhaust gas floating model according to the exhaust gas parameter quality evaluation value; The concentration data correction unit sets a threshold value for the exhaust gas parameter quality assessment value, performs numerical calculation according to the second exhaust gas floating model, and records the calculated value as the first exhaust gas concentration correction data.

[0031] According to the above scheme, the early warning control module includes an exhaust gas concentration quality assessment unit and a control and adjustment unit; The exhaust gas concentration quality assessment unit performs exhaust gas concentration quality assessment based on the first exhaust gas concentration correction data of all exhaust gas types, sets a threshold value for the exhaust gas concentration quality assessment value, and issues an early warning prompt to the user when the exhaust gas concentration quality assessment value is greater than the threshold value; The control and adjustment unit substitutes the maximum value of the first exhaust gas concentration correction data of all exhaust gas types and the total power of the front-end production group equipment into the first exhaust gas concentration floating model to calculate the power of the exhaust gas treatment equipment; and automatically adjusts the exhaust gas treatment equipment according to the calculated power of the exhaust gas treatment equipment.

[0032] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0033] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent online monitoring method for stationary source exhaust gas, characterized in that: The method comprises the following steps: S1: Use transmitters and exhaust gas concentration measuring equipment to collect and measure exhaust gas parameter data and exhaust gas concentration data at each exhaust gas emission point in the factory, and transmit the collected and measured exhaust gas parameter data and exhaust gas concentration data to the data management center for management and storage; S2: extract the exhaust gas emission point to obtain the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment, and build a first exhaust gas concentration floating model based on the total power of the front-end production group equipment, the power of the exhaust gas treatment equipment and the processed first exhaust gas concentration data; S3: using the exhaust gas parameter data to perform exhaust gas parameter quality assessment, constructing a second exhaust gas floating model according to the exhaust gas parameter quality assessment result, and correcting the exhaust gas concentration data according to the second exhaust gas floating model; S4: Conduct exhaust gas concentration quality assessment on the calibrated exhaust gas concentration data, issue early warning prompts to users based on the exhaust gas concentration quality assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

2. According to claim 1, an intelligent online monitoring method for stationary source exhaust gas is characterized in that: In step S1, the transmitters include an exhaust gas temperature transmitter, an exhaust gas flow rate transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter, and an oxygen content transmitter; The exhaust gas parameter data includes exhaust gas temperature data, exhaust gas flow rate data, exhaust gas pressure data, exhaust gas humidity data and exhaust gas oxygen content data; The exhaust gas concentration measuring equipment includes an exhaust gas sampling probe, an exhaust gas pretreatment device, a flow controller and an online gas chromatograph; The exhaust gas concentration data is obtained by obtaining the original exhaust gas through the exhaust gas sampling probe, and the original exhaust gas is input into the exhaust gas pretreatment device. The pretreated exhaust gas is transmitted to the online gas chromatograph using a flow controller to measure the type and concentration of the exhaust gas.

3. The intelligent online monitoring method for stationary source exhaust gas according to claim 2 is characterized in that: In step S2, the exhaust gas emission point with serial number i is recorded as REE i , where i∈[1,N], N represents the number of exhaust gas emission monitoring points in the factory; For exhaust gas emission points REE i , select one of the exhaust gases to build the model, and extract the first exhaust gas concentration data that has appeared based on the same total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to form a first exhaust gas concentration data set; The maximum value in the first exhaust gas concentration data set is matched with the total power of the front-end production group equipment and the power of the exhaust gas treatment equipment to generate all data combinations to form the first exhaust gas concentration floating set, denoted as FEE={(FP j , E.P. j , EGC max j )|j∈[1,M]}; where (FP j , E.P. j , EGC max j ) represents the data combination with serial number j; FP j Indicates the total power of the front-end production group equipment with serial number j, EP j Indicates the power of the exhaust gas treatment equipment with serial number j, EGC max j represents the maximum value of the first exhaust gas concentration data with sequence number j, and M represents the total number of data combinations in the first exhaust gas concentration floating set; The first exhaust gas concentration floating model is constructed according to the first exhaust gas concentration floating set. The specific expression of the first exhaust gas concentration floating model is as follows: EGC max =δ1×EP+δ2×FP+δ3; EP is the independent variable of the power of the exhaust gas treatment equipment, FP is the independent variable of the total power of the front-end production group equipment, and EGC max The dependent variable represents the maximum value of the first exhaust gas concentration data, and δ1, δ2 and δ3 represent fitting coefficients; δ1, δ2 and δ3 are calculated and solved.

4. The intelligent online monitoring method for stationary source exhaust gas according to claim 3 is characterized in that: In step S3, under the premise that the power of the exhaust gas treatment equipment and the total power of the front-end production group equipment remain unchanged, the exhaust gas parameter quality assessment is performed based on the exhaust gas parameter data. The specific calculation formula is as follows: ； EPQ stands for the exhaust gas parameter quality evaluation value, EGP u Represents the u-th exhaust gas parameter data, α u represents the weight of the u-th exhaust gas parameter data; The exhaust gas parameter quality evaluation value and the first exhaust gas concentration data are combined into a second exhaust gas concentration data set, denoted as SEE={(EPQ1, EGC1), (EPQ2, EGC2), …, (EPQ v , EGC v )};in v Represents the total number of elements in the second exhaust gas concentration data set, where EGC1=EGC max ; The second exhaust gas floating model is constructed according to the second exhaust gas concentration data set. The specific expression of the second exhaust gas floating model is as follows: EGC=(δ÷EPQ) ε ; Wherein δ represents the fitting coefficient, ε represents the correction coefficient, EGC represents the dependent variable of the first exhaust gas concentration data, and EPQ represents the independent variable of the exhaust gas parameter quality assessment value; δ and ε are calculated and solved; A threshold is set for the exhaust gas parameter quality assessment value. If the exhaust gas parameter quality assessment value is greater than the set threshold, the exhaust gas parameter quality assessment value is substituted into the fitted second exhaust gas floating model, and the calculated value is recorded as the first exhaust gas concentration correction data.

5. The intelligent online monitoring method for stationary source exhaust gas according to claim 4 is characterized in that: In step S4, the exhaust gas concentration data of all exhaust gas types are subjected to the data correction in steps S2 and S3, and the exhaust gas concentration quality assessment is performed based on the first exhaust gas concentration correction data of all exhaust gas types. A threshold is set for the exhaust gas concentration quality assessment value. If the exhaust gas concentration quality assessment value is less than or equal to the threshold, no warning prompt will be given to the user; If the exhaust gas concentration quality assessment value is greater than the threshold, the user will be warned; Substitute the maximum value of the first exhaust gas concentration correction data of all exhaust gas types and the total power of the front-end production group equipment into the first exhaust gas concentration floating model to calculate the power of the exhaust gas treatment equipment; The exhaust gas treatment equipment is automatically adjusted according to the calculated exhaust gas treatment equipment power.

6. An intelligent online monitoring system for stationary source exhaust gas, the system is applied to the intelligent online monitoring method for stationary source exhaust gas according to any one of claims 1 to 5, characterized in that: The system includes an exhaust gas data acquisition module, a data management center, a first model building module, a data correction module and an early warning control module; The exhaust gas data collection module collects and measures the exhaust gas parameter data and exhaust gas concentration data of each exhaust gas emission point in the factory; The data management center is used to manage and store all data collected, measured and subsequently analyzed; The first model building module builds a first exhaust gas concentration floating model according to the total power of the front-end production group equipment, the power of the exhaust gas treatment equipment and the processed first exhaust gas concentration data; The data correction module uses the exhaust gas parameter data to perform exhaust gas parameter quality assessment, constructs a second exhaust gas floating model according to the exhaust gas parameter quality assessment result, and corrects the exhaust gas concentration data according to the second exhaust gas floating model; The early warning control module is used to perform an exhaust gas concentration quality assessment on the corrected exhaust gas concentration data, issue an early warning prompt to the user based on the exhaust gas concentration quality assessment result, and automatically adjust the power of the exhaust gas treatment equipment.

7. The intelligent online monitoring system for stationary source exhaust gas according to claim 6 is characterized in that: The exhaust gas data acquisition module includes a transmitter and an exhaust gas concentration measurement device; The transmitters include an exhaust gas temperature transmitter, an exhaust gas flow rate transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter and an oxygen content transmitter; The exhaust gas concentration measuring device comprises an exhaust gas sampling probe, an exhaust gas pretreatment device, a flow controller and an online gas chromatograph.

8. The intelligent online monitoring system for stationary source exhaust gas according to claim 6 is characterized by: The first model building module includes an exhaust data integration unit and a model building unit; The exhaust gas data integration unit is used to select one of the exhaust gases for model construction, extract all the first exhaust gas concentration data that have appeared with the same front-end production group equipment total power and exhaust gas treatment equipment power, and form a first exhaust gas concentration data set; match the maximum value in the first exhaust gas concentration data set with the front-end production group equipment total power and exhaust gas treatment equipment power, and generate all data combinations to form a first exhaust gas concentration floating set; The model building unit builds a first exhaust gas concentration floating model according to the first exhaust gas concentration floating set, and calculates and solves the fitting coefficients in the model.

9. The intelligent online monitoring system for stationary source exhaust gas according to claim 6 is characterized by: The data correction module includes an exhaust gas parameter quality assessment unit and a concentration data correction unit; The exhaust gas parameter quality evaluation unit is used to evaluate the exhaust gas parameter quality according to the exhaust gas parameter data, and to construct a second exhaust gas floating model according to the exhaust gas parameter quality evaluation value, under the premise that the exhaust gas treatment equipment power and the total power of the front-end production group equipment remain unchanged; The concentration data correction unit sets a threshold value for the exhaust gas parameter quality assessment value, performs numerical calculation according to the second exhaust gas floating model, and records the calculated value as the first exhaust gas concentration correction data.

10. The intelligent online monitoring system for stationary source exhaust gas according to claim 6 is characterized in that: The early warning control module includes an exhaust gas concentration quality assessment unit and a control and adjustment unit; The exhaust gas concentration quality assessment unit performs exhaust gas concentration quality assessment based on the first exhaust gas concentration correction data of all exhaust gas types, sets a threshold for the exhaust gas concentration quality assessment value, and issues an early warning prompt to the user when the exhaust gas concentration quality assessment value is greater than the threshold; The control and adjustment unit substitutes the maximum value of the first exhaust gas concentration correction data of all exhaust gas types and the total power of the front-end production group equipment into the first exhaust gas concentration floating model to calculate the power of the exhaust gas treatment equipment; and automatically adjusts the exhaust gas treatment equipment according to the calculated exhaust gas treatment equipment power.

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