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

Abstract

The application discloses an intelligent fixed source waste gas on-line monitoring system and method, and belongs to the technical field of waste gas monitoring. The application collects and measures waste gas data of a waste gas emission point, transmits waste gas parameter data and waste gas concentration data obtained through collection and measurement to a data management center for management and storage, constructs a first waste gas concentration floating model according to total power of a front-end production group device, waste gas treatment device power and the first waste gas concentration data after treatment, carries out waste gas parameter quality evaluation, constructs a second waste gas floating model according to a waste gas parameter quality evaluation result, corrects waste gas concentration data, carries out waste gas concentration quality evaluation on the corrected waste gas concentration data, carries out early warning and prompt to a user according to a waste gas concentration quality evaluation result, and automatically adjusts waste gas treatment device power. The application improves the accuracy of the system, effectively controls the emission quality of waste gas, and protects the ecological environment.

Description

Technical Field

[0001] This invention relates to the field of exhaust gas monitoring technology, specifically to an intelligent online monitoring system and method for stationary source exhaust gas. Background Technology

[0002] Total hydrocarbons, methane, and non-methane hydrocarbons are all volatile organic compounds (VOCs), and are important precursors to secondary pollutants such as fine particulate matter and ozone, which in turn 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 is actively promoting the prevention and control of pollution of key VOCs.

[0003] However, in industrial production activities, volatile organic compounds are sometimes present in situations with high humidity, high pressure, or high flow rate, which affects the flow rate of the waste gas sampling probe and thus the concentration measurement, easily leading to inaccurate measurements. In existing technologies, structural modifications are often made to the components of the measuring instrument. However, the original measuring instrument cannot solve the problem of inaccurate measurements, and the modification cost is high. Precision instruments are also prone to damage. Furthermore, existing technologies do not provide adaptive adjustment of the operating power of the waste gas treatment equipment.

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

[0005] The purpose of this invention is to provide an intelligent online monitoring system and method for stationary source exhaust gas to solve the problems mentioned in the background art.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: an intelligent online monitoring method for stationary source exhaust gas, comprising the following steps:

[0007] S1: Using transmitters and exhaust gas concentration measurement equipment, exhaust gas parameter data and exhaust gas concentration data at each exhaust gas emission point in the factory are collected and measured, and the collected and measured exhaust gas parameter data and exhaust gas concentration data are transmitted to the data management center for management and storage.

[0008] S2: Extract the total power of the equipment in the front-end production group and the power of the waste gas treatment equipment at the waste gas emission point. Based on the total power of the equipment in the front-end production group, the power of the waste gas treatment equipment, and the concentration data of the first waste gas after treatment, construct a floating model of the first waste gas concentration.

[0009] S3: Use exhaust gas parameter data to assess the quality of exhaust gas parameters, construct a second exhaust gas floating model based on the assessment results, and correct the exhaust gas concentration data based on the second exhaust gas floating model.

[0010] S4: Perform a quality assessment of the corrected exhaust gas concentration data, provide early warnings to users based on the assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0011] 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.

[0012] The system uses transmitters instead of ordinary sensors. Transmitters have a certain amplification effect, which can more effectively measure small data changes and improve measurement accuracy.

[0013] 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.

[0014] The waste gas concentration measurement equipment includes a waste gas sampling probe, a waste gas pretreatment device, a flow controller, and an online gas chromatograph;

[0015] The exhaust gas concentration measuring device also includes an auxiliary gas source device, which is equipped with a zero-stage air generator, a hydrogen generator and a carrier gas.

[0016] The waste gas concentration data is obtained by the waste gas sampling probe. The raw waste gas is then input into the waste gas pretreatment device. The pretreated waste gas is then transmitted to the online gas chromatograph using a flow controller to measure the type and concentration of the waste gas.

[0017] 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], and N represents the number of monitoring points for exhaust gas emissions in the factory;

[0018] For exhaust gas emission points REE i One type of waste gas is selected for model construction. Under the premise of the same total power of the front-end production group equipment and the power of the waste gas treatment equipment, the first waste gas concentration data that has appeared is extracted to form the first waste gas concentration data set.

[0019] One type of waste gas is selected for model building, and then models are built for all types of waste gas in the future, so that each type of waste gas corresponds to a model. This allows for more accurate correction of waste gas concentration data and improves the accuracy of the system.

[0020] The maximum value in the first waste gas concentration data set is matched with the total power of the front-end production group equipment and the power of the waste gas treatment equipment to generate all data combinations to form the first waste gas concentration floating set, denoted as FEE={(FP j EP j EGCmax j )|j∈[1,M]}; where (FP j EP j EGC max j ) represents the data combination with index j; FP j EP represents the total power of the equipment in the front-end production group with serial number j. j This 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 serial number j, and M represents the total number of data combinations in the first exhaust gas concentration floating set;

[0021] A first waste gas concentration floating model is constructed based on the first waste gas concentration floating set. The specific expression of the first waste gas concentration floating model is as follows:

[0022] EGC max =δ1×EP+δ2×FP+δ3;

[0023] Where EP represents the independent variable of the power of the waste gas treatment equipment, FP represents 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 the fitting coefficients; δ1, δ2, and δ3 are calculated and solved.

[0024] An unfavorable measurement environment can affect the concentration measurement, easily leading to inaccurate measurements and resulting in a lower final value. The maximum value of the first waste gas concentration data is the most accurate measurement value that the system can obtain. Under the premise of the same total power of the front-end production group equipment and the power of the waste gas treatment equipment, the maximum value of the first waste gas concentration data is used to form a first waste gas concentration floating set. Based on the first waste gas concentration floating set, a first waste gas concentration floating model is constructed, 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 waste gas treatment equipment, thereby improving the accuracy of subsequent corrections.

[0025] According to the above scheme, in step S3, under the premise that the power of the waste gas treatment equipment and the total power of the front-end production group equipment remain unchanged, the waste gas parameter quality is evaluated based on the waste gas parameter data. The specific calculation formula is as follows:

[0026] ;

[0027] Where EPQ represents the exhaust gas parameter quality assessment value, EGP u Represents the parameter data for the u-th type of exhaust gas, α u This represents the weight of the u-th type of exhaust gas parameter data;

[0028] The exhaust gas parameter quality assessment values ​​and the first exhaust gas concentration data are combined to form the second exhaust gas concentration data set, denoted as SEE={(EPQ1, EGC1), (EPQ2, EGC2), ..., (EPQ... v EGC v )};in v This represents the total number of elements in the second exhaust gas concentration data set, where EGC1 = EGC max ;

[0029] A second waste gas floating model is constructed based on the second waste gas concentration dataset. The specific expression of the second waste gas floating model is as follows:

[0030] EGC = (δ ÷ EPQ) ε ;

[0031] Where 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.

[0032] Changes in exhaust gas parameters reflect adverse measurement environments. Constructing a second exhaust gas floating model by combining the exhaust gas parameter quality assessment value with the first exhaust gas concentration data can effectively establish a correlation between exhaust gas parameters and the first exhaust gas concentration data, quantify the changes in the measurement environment and the final measured first exhaust gas concentration data, and provide a more accurate numerical basis for subsequent calibration.

[0033] A threshold is set for the quality assessment value of the exhaust gas parameters. If the quality assessment value of the exhaust gas parameters is greater than the set threshold, the quality assessment value of the exhaust gas parameters is substituted into the fitted second exhaust gas floating model, and the calculated value is recorded as the first exhaust gas concentration correction data.

[0034] According to the above scheme, in step S4, the exhaust gas concentration data for all types of exhaust gases are corrected using the data from steps S2 and S3. Then, an exhaust gas concentration quality assessment is performed based on the first corrected exhaust gas concentration data for all types of exhaust gases.

[0035] A threshold is set for the waste gas concentration quality assessment value. If the waste gas concentration quality assessment value is less than or equal to the threshold, no warning will be given to the user.

[0036] If the waste gas concentration quality assessment value exceeds the threshold, a warning will be issued to the user.

[0037] Substitute the maximum value of the first waste gas concentration correction data for all types of waste gas and the total power of the front-end production group equipment into the first waste gas concentration floating model to calculate the power of the waste gas treatment equipment.

[0038] The power of the waste gas treatment equipment is automatically adjusted based on the calculated power.

[0039] Setting a threshold for the quality assessment value of exhaust gas concentration can effectively screen out situations with poor measurement environment, correct the first exhaust gas concentration data measured under poor measurement environment, 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.

[0040] The power of the waste gas treatment equipment is calculated based on the first waste gas concentration correction data and the first waste gas concentration floating model, and the power of the waste gas treatment equipment is automatically adjusted, which can effectively control the quality of waste gas emissions and further protect the ecological environment.

[0041] Another aspect of this application provides an intelligent online monitoring system for stationary source exhaust gas, which is applied to the above-mentioned intelligent online monitoring method for stationary source exhaust gas. The system includes an exhaust gas data acquisition module, a data management center, a first model construction module, a data correction module, and an early warning control module.

[0042] The waste gas data acquisition module collects and measures waste gas parameter data and waste gas concentration data at each waste gas emission point in the factory;

[0043] The data management center is used to manage and store all data collected, measured, and subsequently analyzed.

[0044] The first model building module constructs a first waste gas concentration floating model based on the total power of the front-end production group equipment, the power of the waste gas treatment equipment, and the first waste gas concentration data after treatment.

[0045] The data correction module uses exhaust gas parameter data to assess the quality of exhaust gas parameters, constructs a second exhaust gas floating model based on the assessment results, and corrects the exhaust gas concentration data based on the second exhaust gas floating model.

[0046] The early warning control module is used to assess the quality of the corrected exhaust gas concentration data, provide early warning prompts to users based on the assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0047] According to the above scheme, the exhaust gas data acquisition module includes a transmitter and an exhaust gas concentration measurement device;

[0048] The transmitters include an exhaust gas temperature transmitter, an exhaust gas velocity transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter, and an oxygen content transmitter.

[0049] The waste gas concentration measurement equipment includes a waste gas sampling probe, a waste gas pretreatment device, a flow controller, and an online gas chromatograph.

[0050] According to the above scheme, the first model building module includes a waste gas data integration unit and a model building unit;

[0051] The exhaust gas data integration unit is used to select one type of exhaust gas for model construction, extract the total power of the same front-end production group equipment and the power of the exhaust gas treatment equipment, and all the first exhaust gas concentration data that have appeared 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 the data combinations to form a first exhaust gas concentration floating set;

[0052] The model building unit constructs a first waste gas concentration floating model based on the first waste gas concentration floating set, and calculates and solves the fitting coefficients in the model.

[0053] According to the above scheme, the data correction module includes a waste gas parameter quality assessment unit and a concentration data correction unit;

[0054] The exhaust gas parameter quality assessment unit is used to assess the quality of exhaust gas parameters based on 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 based on the exhaust gas parameter quality assessment value.

[0055] The concentration data correction unit sets a threshold for the quality assessment value of the exhaust gas parameters, performs numerical calculations based on the second exhaust gas floating model, and records the calculated value as the first exhaust gas concentration correction data.

[0056] According to the above scheme, the early warning control module includes a waste gas concentration quality assessment unit and a control and adjustment unit;

[0057] The exhaust gas concentration quality assessment unit performs exhaust gas concentration quality assessment based on the first exhaust gas concentration correction data for all types of exhaust gas, sets a threshold for the exhaust gas concentration quality assessment value, and provides a warning to the user when the exhaust gas concentration quality assessment value exceeds the threshold.

[0058] The control and adjustment unit substitutes the maximum value of the first waste gas concentration correction data for all waste gas types and the total power of the front-end production group equipment into the first waste gas concentration floating model to calculate the power of the waste gas treatment equipment; and automatically adjusts the waste gas treatment equipment according to the calculated power of the waste gas treatment equipment.

[0059] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: Selecting one type of waste gas for model construction, and subsequently constructing models for all types of waste gases, ensures that each type of waste gas corresponds to a model, enabling more accurate correction of waste gas concentration data and improving system accuracy; using the maximum value of the first waste gas concentration data to form a first waste gas concentration floating set, and constructing a first waste gas concentration floating model based on this set, allows for more accurate acquisition of the relationship between the actual measured values, the total power of the front-end production group equipment, and the power of the waste gas treatment equipment; improving the accuracy of subsequent corrections; and effectively integrating the waste gas parameters with the first waste gas concentration floating set. The correlation between air concentration data and the final measured first exhaust gas concentration data is quantified, providing a more accurate numerical basis for subsequent calibration. It effectively filters out poor measurement environments, corrects the first exhaust gas concentration data measured under such conditions, improves system accuracy, prevents the emission of large amounts of substandard exhaust gas due to inaccurate measurement systems, and protects the ecological environment. Based on the first exhaust gas concentration correction data and the first exhaust gas concentration fluctuation model, the power of the exhaust gas treatment equipment is calculated and automatically adjusted, effectively controlling the quality of exhaust gas emissions and further protecting the ecological environment. Attached Figure Description

[0060] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0061] Figure 1 This is a flowchart illustrating an intelligent online monitoring method for stationary source exhaust gas according to the present invention.

[0062] Figure 2 This is a schematic diagram of the structure of an intelligent online monitoring system for stationary source exhaust gas according to the present invention. Detailed Implementation

[0063] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0064] Example 1: Please refer to Figure 1 The present invention provides a technical solution: an intelligent online monitoring method for stationary source exhaust gas, the method comprising the following steps:

[0065] S1: Using transmitters and exhaust gas concentration measurement equipment, exhaust gas parameter data and exhaust gas concentration data at each exhaust gas emission point in the factory are collected and measured, and the collected and measured exhaust gas parameter data and exhaust gas concentration data are transmitted to the data management center for management and storage.

[0066] 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.

[0067] 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;

[0068] The waste gas concentration measurement equipment includes a waste gas sampling probe, a waste gas pretreatment device, a flow controller, and an online gas chromatograph;

[0069] The exhaust gas concentration measuring equipment also includes an auxiliary gas source device, which is equipped with a zero-stage air generator, a hydrogen generator, and a carrier gas;

[0070] The raw waste gas concentration data is obtained through the waste gas sampling probe. The raw waste gas is then input into the waste gas pretreatment device. The pretreated waste gas is then transmitted to the online gas chromatograph using a flow controller to measure the type and concentration of the waste gas.

[0071] S2: Extract the total power of the equipment in the front-end production group and the power of the waste gas treatment equipment at the waste gas emission point. Based on the total power of the equipment in the front-end production group, the power of the waste gas treatment equipment, and the concentration data of the first waste gas after treatment, construct a floating model of the first waste gas concentration.

[0072] 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], and N represents the number of monitoring points for exhaust gas emissions in the factory;

[0073] For exhaust gas emission points REE i One type of waste gas is selected for model construction. Under the premise of the same total power of the front-end production group equipment and the power of the waste gas treatment equipment, the first waste gas concentration data that has appeared is extracted to form the first waste gas concentration data set.

[0074] The maximum value in the first waste gas concentration data set is matched with the total power of the front-end production group equipment and the power of the waste gas treatment equipment to generate all data combinations to form the first waste gas concentration floating set, denoted as FEE={(FP j EP j EGC max j )|j∈[1,M]}; where (FP j EPj EGC max j ) represents the data combination with index j; FP j EP represents the total power of the equipment in the front-end production group with serial number j. j This 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 serial number j, and M represents the total number of data combinations in the first exhaust gas concentration floating set;

[0075] A first waste gas concentration floating model is constructed based on the first waste gas concentration floating set. The specific expression of the first waste gas concentration floating model is as follows:

[0076] EGC max =δ1×EP+δ2×FP+δ3;

[0077] Where EP represents the independent variable of the power of the waste gas treatment equipment, FP represents 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 the fitting coefficients; δ1, δ2, and δ3 are calculated and solved.

[0078] Example 2: Construct the matrix of independent variables, the vector of dependent variables, and the vector of fitting coefficients, denoted as X, Y, and Z, as shown in the following formula:

[0079] ;

[0080] ;

[0081] ;

[0082] The first column of the design matrix X is all 1s, representing the intercept term. The following formulas are used to calculate δ1, δ2, and δ3:

[0083] Z = (X) T X) -1 X T Y;

[0084] It looks like matrix X T X is a singular matrix and cannot be directly inverted; this situation usually occurs when there is collinearity among the independent variables; a pseudo-inverse function is used to calculate the fitting coefficients instead of the inverse matrix.

[0085] S3: Use exhaust gas parameter data to assess the quality of exhaust gas parameters, construct a second exhaust gas floating model based on the assessment results, and correct the exhaust gas concentration data based on the second exhaust gas floating model.

[0086] According to the above scheme, in step S3, under the premise that the power of the waste gas treatment equipment and the total power of the front-end production group equipment remain unchanged, the waste gas parameter quality is evaluated based on the waste gas parameter data. The specific calculation formula is as follows:

[0087] ;

[0088] Where EPQ represents the exhaust gas parameter quality assessment value, EGP u Represents the parameter data for the u-th type of exhaust gas, α u This represents the weight of the u-th type of exhaust gas parameter data;

[0089] The exhaust gas parameter quality assessment values ​​and the first exhaust gas concentration data are combined to form the second exhaust gas concentration data set, denoted as SEE={(EPQ1, EGC1), (EPQ2, EGC2), ..., (EPQ... v EGC v )};in v This represents the total number of elements in the second exhaust gas concentration data set, where EGC1 = EGC max ;

[0090] A second waste gas floating model is constructed based on the second waste gas concentration dataset. The specific expression of the second waste gas floating model is as follows:

[0091] EGC = (δ ÷ EPQ) ε ;

[0092] Where 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.

[0093] The least squares method, gradient descent method, regularization method, minimum absolute value deviation regression or principal component regression can be used to calculate the fitting coefficient.

[0094] A threshold is set for the quality assessment value of the exhaust gas parameters. If the quality assessment value of the exhaust gas parameters is greater than the set threshold, the quality assessment value of the exhaust gas parameters is substituted into the fitted second exhaust gas floating model, and the calculated value is recorded as the first exhaust gas concentration correction data.

[0095] S4: Perform a quality assessment of the corrected exhaust gas concentration data, provide early warnings to users based on the assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0096] According to the above scheme, in step S4, the exhaust gas concentration data for all types of exhaust gases are corrected using the data from steps S2 and S3. Then, an exhaust gas concentration quality assessment is performed based on the first corrected exhaust gas concentration data for all types of exhaust gases.

[0097] The waste gas concentration quality assessment sets weight values ​​for all types of waste gas, and calculates the waste gas concentration quality assessment value by multiplying the weights and concentrations together.

[0098] A threshold is set for the waste gas concentration quality assessment value. If the waste gas concentration quality assessment value is less than or equal to the threshold, no warning will be given to the user.

[0099] If the waste gas concentration quality assessment value exceeds the threshold, a warning will be issued to the user.

[0100] Substitute the maximum value of the first waste gas concentration correction data for all types of waste gas and the total power of the front-end production group equipment into the first waste gas concentration floating model to calculate the power of the waste gas treatment equipment.

[0101] The power of the waste gas treatment equipment is automatically adjusted based on the calculated power.

[0102] Example 3: Please refer to Figure 2 The present invention provides a technical solution: In another aspect of this application, an intelligent online monitoring system for stationary source exhaust gas is provided. The system is applied to the above-mentioned intelligent online monitoring method for stationary source exhaust gas. The system includes an exhaust gas data acquisition module, a data management center, a first model construction module, a data correction module, and an early warning control module.

[0103] The exhaust gas data acquisition module collects and measures exhaust gas parameter data and exhaust gas concentration data at every exhaust gas emission point in the factory;

[0104] The data management center is used to manage and store all data collected, measured, and subsequently analyzed.

[0105] The first model construction module constructs a first waste gas concentration floating model based on the total power of the front-end production group equipment, the power of the waste gas treatment equipment, and the first waste gas concentration data after treatment.

[0106] The data correction module uses exhaust gas parameter data to assess the quality of exhaust gas parameters. Based on the assessment results, it constructs a second exhaust gas floating model and corrects the exhaust gas concentration data based on the second exhaust gas floating model.

[0107] The early warning control module is used to assess the quality of the corrected exhaust gas concentration data, provide early warnings to users based on the assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

[0108] According to the above scheme, the exhaust gas data acquisition module includes a transmitter and an exhaust gas concentration measurement device;

[0109] Transmitters include exhaust gas temperature transmitters, exhaust gas velocity transmitters, exhaust gas pressure transmitters, exhaust gas humidity transmitters, and oxygen content transmitters.

[0110] The waste gas concentration measurement equipment includes a waste gas sampling probe, a waste gas pretreatment device, a flow controller, and an online gas chromatograph.

[0111] According to the above scheme, the first model building module includes a waste gas data integration unit and a model building unit;

[0112] The exhaust gas data integration unit is used to select one type of exhaust gas for model building. Under the premise of the same total power of the front-end production group equipment and the power of the exhaust gas treatment equipment, it extracts the first exhaust gas concentration data that has appeared 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 the data combinations to form a first exhaust gas concentration floating set.

[0113] The model building unit constructs a first waste gas concentration floating model based on the first waste gas concentration floating set, and calculates and solves the fitting coefficients in the model.

[0114] According to the above scheme, the data correction module includes a waste gas parameter quality assessment unit and a concentration data correction unit;

[0115] The exhaust gas parameter quality assessment unit is used to assess the quality of exhaust gas parameters based on 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 based on the exhaust gas parameter quality assessment value.

[0116] The concentration data correction unit sets a threshold for the quality assessment value of the exhaust gas parameters, performs numerical calculations based on the second exhaust gas floating model, and records the calculated value as the first exhaust gas concentration correction data.

[0117] According to the above scheme, the early warning control module includes a waste gas concentration quality assessment unit and a control and adjustment unit;

[0118] The exhaust gas concentration quality assessment unit performs exhaust gas concentration quality assessment based on the first exhaust gas concentration correction data for all types of exhaust gas, sets a threshold for the exhaust gas concentration quality assessment value, and provides a warning to the user when the exhaust gas concentration quality assessment value exceeds the threshold.

[0119] The control and regulation unit substitutes the maximum value of the first waste gas concentration correction data for all waste gas types and the total power of the front-end production group equipment into the first waste gas concentration floating model to calculate the power of the waste gas treatment equipment; and automatically adjusts the waste gas treatment equipment according to the calculated power.

[0120] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0121] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent online monitoring method for stationary source exhaust gas, characterized in that, The method includes the following steps: S1: Using transmitters and exhaust gas concentration measurement equipment, exhaust gas parameter data and exhaust gas concentration data at each exhaust gas emission point in the factory are collected and measured, and the collected and measured exhaust gas parameter data and exhaust gas concentration data are transmitted to the data management center for management and storage. S2: Extract the total power of the equipment in the front-end production group and the power of the waste gas treatment equipment at the waste gas emission point. Based on the total power of the equipment in the front-end production group, the power of the waste gas treatment equipment, and the concentration data of the first waste gas after treatment, construct a floating model of the first waste gas concentration. In step S2, the exhaust gas emission point with serial number i is denoted as REE. i , where i∈[1,N], and N represents the number of monitoring points for exhaust gas emissions in the factory; For exhaust gas emission points REE i One type of waste gas is selected for model construction. Under the premise of the same total power of the front-end production group equipment and the power of the waste gas treatment equipment, the first waste gas concentration data that has appeared is extracted to form the first waste gas concentration data set. The maximum value in the first waste gas concentration data set is matched with the total power of the front-end production group equipment and the power of the waste gas treatment equipment to generate all data combinations to form the first waste gas concentration floating set, denoted as FEE={(FP j EP j EGC max j )|j∈[1,M]}; where (FP j EP j EGC max j ) represents the data combination with index j; FP j EP represents the total power of the equipment in the front-end production group with serial number j. j This 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 serial number j, and M represents the total number of data combinations in the first exhaust gas concentration floating set; A first waste gas concentration floating model is constructed based on the first waste gas concentration floating set. The specific expression of the first waste gas concentration floating model is as follows: EGC max =δ1×EP+δ2×FP+δ3; Where EP represents the independent variable of the power of the waste gas treatment equipment, FP represents 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 the fitting coefficients; δ1, δ2, and δ3 are calculated and solved. S3: Use exhaust gas parameter data to assess the quality of exhaust gas parameters, construct a second exhaust gas floating model based on the assessment results, and correct the exhaust gas concentration data based on the second exhaust gas floating model. In step S3, under the premise that the power of the waste gas treatment equipment and the total power of the front-end production group equipment remain unchanged, the waste gas parameter quality is evaluated based on the waste gas parameter data. The specific calculation formula is as follows: ； Where EPQ represents the exhaust gas parameter quality assessment value, EGP u Represents the parameter data for the u-th type of exhaust gas, α u This represents the weight of the u-th type of exhaust gas parameter data; The exhaust gas parameter quality assessment values ​​and the first exhaust gas concentration data are combined to form the second exhaust gas concentration data set, denoted as SEE={(EPQ1, EGC1), (EPQ2, EGC2), ..., (EPQ... v EGC v )};in v This represents the total number of elements in the second exhaust gas concentration data set, where EGC1 = EGC max ; A second waste gas floating model is constructed based on the second waste gas concentration dataset. The specific expression of the second waste gas floating model is as follows: EGC=(δ÷EPQ) ε ; Where 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 quality assessment value of exhaust gas parameters. If the quality assessment value of exhaust gas parameters is greater than the set threshold, the quality assessment value of exhaust gas parameters is substituted into the fitted second exhaust gas floating model, and the calculated value is recorded as the first exhaust gas concentration correction data. S4: Perform a quality assessment of the corrected exhaust gas concentration data, provide early warnings to users based on the assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

2. The intelligent online monitoring method for stationary source exhaust gas according to claim 1, characterized in that: 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 waste gas concentration measurement equipment includes a waste gas sampling probe, a waste gas pretreatment device, a flow controller, and an online gas chromatograph; The waste gas concentration data is obtained by the waste gas sampling probe. The raw waste gas is then input into the waste gas pretreatment device. The pretreated waste gas is then transmitted to the online gas chromatograph using a flow controller to measure the type and concentration of the waste gas.

3. The intelligent online monitoring method for stationary source exhaust gas according to claim 2, characterized in that: In step S4, the exhaust gas concentration data for all types of exhaust gases are corrected according to the data in steps S2 and S3. An exhaust gas concentration quality assessment is then performed based on the first corrected exhaust gas concentration data for all types of exhaust gases. A threshold is set for the waste gas concentration quality assessment value. If the waste gas concentration quality assessment value is less than or equal to the threshold, no warning will be given to the user. If the waste gas concentration quality assessment value exceeds the threshold, a warning will be issued to the user. Substitute the maximum value of the first waste gas concentration correction data for all types of waste gas and the total power of the front-end production group equipment into the first waste gas concentration floating model to calculate the power of the waste gas treatment equipment. The power of the waste gas treatment equipment is automatically adjusted based on the calculated power.

4. An intelligent online monitoring system for stationary source exhaust gas, wherein the system is applied to the intelligent online monitoring method for stationary source exhaust gas described in any one of claims 1-3, characterized in that, The system includes an exhaust gas data acquisition module, a data management center, a first model construction module, a data correction module, and an early warning and control module; The waste gas data acquisition module collects and measures waste gas parameter data and waste gas concentration data at each waste 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 constructs a first waste gas concentration floating model based on the total power of the front-end production group equipment, the power of the waste gas treatment equipment, and the first waste gas concentration data after treatment. The data correction module uses exhaust gas parameter data to assess the quality of exhaust gas parameters, constructs a second exhaust gas floating model based on the assessment results, and corrects the exhaust gas concentration data based on the second exhaust gas floating model. The early warning control module is used to assess the quality of the corrected exhaust gas concentration data, provide early warning prompts to users based on the assessment results, and automatically adjust the power of the exhaust gas treatment equipment.

5. The intelligent stationary source exhaust gas online monitoring system according to claim 4, 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 velocity transmitter, an exhaust gas pressure transmitter, an exhaust gas humidity transmitter, and an oxygen content transmitter. The waste gas concentration measurement equipment includes a waste gas sampling probe, a waste gas pretreatment device, a flow controller, and an online gas chromatograph.

6. The intelligent stationary source exhaust gas online monitoring system according to claim 4, characterized in that: The first model building module includes a waste gas data integration unit and a model building unit; The exhaust gas data integration unit is used to select one type of exhaust gas for model construction, extract the total power of the same front-end production group equipment and the power of the exhaust gas treatment equipment, and all the first exhaust gas concentration data that have appeared 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 the data combinations to form a first exhaust gas concentration floating set; The model building unit constructs a first waste gas concentration floating model based on the first waste gas concentration floating set, and calculates and solves the fitting coefficients in the model.

7. The intelligent stationary source exhaust gas online monitoring system according to claim 4, characterized in that: The data correction module includes a waste gas parameter quality assessment unit and a concentration data correction unit; The exhaust gas parameter quality assessment unit is used to assess the quality of exhaust gas parameters based on 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 based on the exhaust gas parameter quality assessment value. The concentration data correction unit sets a threshold for the quality assessment value of the exhaust gas parameters, performs numerical calculations based on the second exhaust gas floating model, and records the calculated value as the first exhaust gas concentration correction data.

8. The intelligent stationary source exhaust gas online monitoring system according to claim 4, characterized in that: The early warning control module includes a waste 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 for all types of exhaust gas, sets a threshold for the exhaust gas concentration quality assessment value, and provides a warning to the user when the exhaust gas concentration quality assessment value exceeds the threshold. The control and adjustment unit substitutes the maximum value of the first waste gas concentration correction data for all waste gas types and the total power of the front-end production group equipment into the first waste gas concentration floating model to calculate the power of the waste gas treatment equipment; and automatically adjusts the waste gas treatment equipment according to the calculated power of the waste gas treatment equipment.

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