Waste gas component monitoring method for organic waste gas treatment

Abstract

The invention relates to the technical field of waste gas monitoring, in particular to a waste gas component monitoring method for organic waste gas treatment, which comprises the following steps: capturing chemical reaction data of a laboratory and a site, modeling volatile organic compounds, calculating parameters of reactants and products, and generating a volatile organic compound reaction model. According to the method, the volatile organic compound reaction model and the waste gas conversion path diagram are constructed, conversion of chemical components in waste gas treatment is accurately mapped, accurate recognition of key chemical reactions and catalyst monitoring points is achieved, and operation parameters such as temperature, pressure and reaction time of waste gas treatment equipment can be accurately adjusted; the equipment performance and the treatment efficiency are optimized, the optimization enhances the quality control of waste gas components, and through regular quality inspection and a comprehensive monitoring mechanism, the safety and the environmental protection effect of waste gas treatment are improved, the environmental pollution and the health risk are reduced, and the realization of effective execution of a sustainable development policy is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas monitoring, and in particular to a waste gas component monitoring method for organic waste gas treatment. Background Art

[0002] The field of waste gas monitoring technology involves the use of a range of instruments and methods to analyze and control the composition of gases released into the atmosphere by industrial activities, waste treatment, and other processes. The application of the technology includes quantitative analysis of the concentration of specific gases, such as volatile organic compounds, carbon dioxide, carbon monoxide, sulfides, etc., to assess air quality and comply with environmental regulations. Waste gas monitoring is not only an important part of environmental protection, but also plays a key role in industrial safety production and health risk assessment. Modern waste gas monitoring technologies include spectral analysis, electrochemical sensors, chromatography, and mass spectrometry. The technology can provide real-time or near-real-time gas analysis data, which is essential for environmental regulation and industrial process control.

[0003] Among them, the waste gas composition monitoring method for organic waste gas treatment focuses on the development and application of methods to detect and analyze the waste gas components generated during the treatment of organic waste. The waste gas includes a variety of harmful chemicals, such as volatile organic compounds and toxic gases. Its monitoring helps to optimize the waste treatment process, reduce environmental pollution, ensure the safety of workers and comply with relevant environmental protection regulations. Through this monitoring, waste gas emissions can be tracked in real time, treatment parameters can be adjusted in time, and treatment efficiency and environmental protection effects can be improved. This method plays a vital role in environmental monitoring, waste management and the implementation of sustainable development policies.

[0004] Existing waste gas monitoring technology relies on regular sampling and analysis. Although this method can provide basic information on gas composition, it has obvious deficiencies in processing efficiency and real-time performance. The operating parameter adjustment of existing technologies is not flexible enough, and it is difficult to quickly respond to sudden changes in the treatment process, resulting in monitoring blind spots, increased environmental pollution and health risks. Existing technologies rely more on experience-based judgment rather than data-driven decision support in quality control, which limits the scientific nature and effectiveness of waste gas treatment strategies, resulting in the key chemical reactions and changes in the waste gas treatment process cannot be monitored and properly treated in a timely manner, thereby affecting the overall environmental protection effect and safety assurance. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a waste gas component monitoring method for organic waste gas treatment.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a method for monitoring waste gas components for organic waste gas treatment, comprising the following steps: S1: Capture laboratory and field chemical reaction data, model volatile organic compounds, calculate the parameters of reactants and products, generate a volatile organic compound reaction model, describe the conversion path of chemical components in the exhaust gas treatment process through the volatile organic compound reaction model, and generate an exhaust gas conversion path diagram; S2: Based on the exhaust gas conversion pathway diagram, formulate a monitoring plan for the target chemical reaction, identify key monitoring points of the catalyst through the monitoring plan, generate key monitoring point identification results, use the key monitoring point identification results to adjust the monitoring strategy and response mechanism, and generate a safety monitoring framework; S3: Based on the safety monitoring framework, adjusting the operating parameters of the exhaust gas treatment equipment, including temperature, pressure and reaction time, generating adjusted operating parameters, optimizing the exhaust gas treatment equipment using the adjusted operating parameters, and processing a plurality of chemical components to generate equipment performance optimization results; S4: Based on the equipment performance optimization results, implement quality control of exhaust gas components, generate quality control review results through a regular quality review process, use the quality control review results to modify exhaust gas treatment strategies and practices, and generate an optimized exhaust gas treatment strategy.

[0007] As a further solution of the present invention, the steps for obtaining the exhaust gas conversion path map are specifically as follows: S111: Capture chemical reaction data in the laboratory and on-site. The data includes the parameters of reactants and products. Determine the initial conditions of the reaction model based on the data and calculate the probability of the reaction occurring under given conditions. The formula is: ; Generate a basic data set of chemical reactions, where represents the probability of a reaction occurring under given conditions, Indicates concentration, Indicates temperature, is the reaction rate constant, is the activation energy, is the universal gas constant; S112: Using the basic data set of the chemical reaction, the chemical component conversion in the exhaust gas treatment process is modeled through dynamic simulation, using the formula: ; Calculate the chemical composition conversion rate, where: Represents the chemical composition conversion rate, represents the probability of a reaction occurring under given conditions, is the temperature, is the reaction rate constant; S113: Based on the chemical component conversion rate, describe the conversion path of the chemical components in the waste gas treatment process, using the formula: ; Generate an exhaust gas conversion pathway diagram, where represents the exhaust gas conversion pathway diagram, It is The chemical composition conversion rate of each chemical substance, is the total number of chemical substances.

[0008] As a further solution of the present invention, the steps of obtaining the key monitoring point identification results are specifically as follows: S211: Extract key nodes of chemical reactions from the exhaust gas conversion pathway diagram, defined by chemical substances and conversion rates, using the formula: ; Generate a preliminary list of monitoring points, where: Indicates the concentration of a chemical substance. is the location marker in the path map, is the number of nodes in the path graph, represents a preliminary list of monitoring points; S212: Analyze the preliminary monitoring point list and use the flow rate and chemical conversion rate data to evaluate, using the formula: ; The key monitoring point candidates are calculated, where It's traffic. is the chemical composition conversion rate, is the total amount of material at the monitoring point, is the weight coefficient determined by experiment, Indicates the key monitoring point candidates; S213: According to the key monitoring point candidates, based on the data with flow and conversion rate greater than the average, screen the monitoring points with the best performance, analyze the data fluctuations and trends of the monitoring points, record the abnormal data fluctuations, review the screening results, and verify the accuracy and consistency of the data to obtain the key monitoring point identification results.

[0009] As a further solution of the present invention, the steps of obtaining the security monitoring framework are specifically as follows: S221: extract data from the key monitoring point identification results, analyze the association of the monitoring points and the data flow, and use the formula: ; Construct an initial monitoring point map, where represents the data density of the monitoring point, represents the weight of the monitoring point, is the total number of monitoring points, Represents the initial monitoring point map; S222: Based on the initial monitoring point map, define the role of each monitoring point in the security monitoring framework, and analyze the data transmission and processing capabilities of each point through the formula: ; Get the defined monitoring point function, where: Indicates the priority of the monitoring point. is a functional indicator, It is the critical degree. is the adjustment factor, Indicates the defined monitoring point function; S223: In combination with the defined monitoring point functions, optimize the data capture and abnormal activity identification configuration, adjust the monitoring strategy, and generate a security monitoring framework.

[0010] As a further solution of the present invention, the step of obtaining the adjusted operating parameters is specifically: S311: Analyze the current operating parameters of the exhaust gas treatment equipment, including temperature, pressure and reaction time, based on the data output of the safety monitoring framework, and identify the parameters that need to be adjusted using the formula: ; The average operating parameters are obtained, where Represents the current temperature, Represents the current pressure, Represents the current reaction time, represents the average operating parameter; S312: Analyze the average operating parameters, combine the equipment performance and environmental data, and determine new target parameters through the formula: ; Get the updated operating benchmark, where represents the updated operating baseline, is the environmental factor adjustment rate, is the equipment efficiency loss rate, is the safety adjustment factor, represents the average operating parameter; S313: Apply the updated operating benchmark to the exhaust gas treatment equipment, monitor the current equipment operating status and record baseline performance data, adjust the temperature, pressure and reaction time settings of the equipment, and obtain adjusted operating parameters.

[0011] As a further solution of the present invention, the steps of obtaining the equipment performance optimization result are specifically as follows: S321: Analyze the performance data of the exhaust gas treatment equipment according to the adjusted operating parameters, identify performance fluctuations, and use the formula: ; Obtain environmental risk assessment performance indicators, including: represents the measured temperature adjustment value, Represents the measured pressure adjustment value, Represents the measured reaction time adjustment value, Represents the unit efficiency of the equipment, represents the environmental risk assessment performance indicator; S322: According to the environmental risk assessment performance index, the optimization effect of the equipment operation is evaluated by the formula: ; Get the impact measure of the probabilistic event, where It is a performance indicator for environmental risk assessment. is the performance optimization target factor, Represents the impact measure of a probabilistic event; S323: Evaluate the impact metric of the probabilistic event, record the operating environment factors, guide the adjustment of the operating settings, check the coordination and efficiency of multiple components of the equipment, adjust the operating settings, match the environmental changes, and generate equipment performance optimization results.

[0012] As a further solution of the present invention, the steps for obtaining the quality control review results are specifically as follows: S411: According to the equipment performance optimization result, the operating parameter data is captured from the data management, and the influence on the exhaust gas component treatment is analyzed, and the formula is used: ; Obtain environmental impact assessment values, where: is the adjusted temperature data, is the adjusted pressure data, is the adjusted reaction time, It represents the environmental effect assessment value; S412: Based on the environmental effect evaluation value, evaluate the impact of the operating parameter adjustment on the quality of the exhaust gas components, using the formula: ; Generate quality inspection records, including: represents the environmental impact assessment value, is the preset quality control benchmark value, Indicates quality inspection record; S413: Utilize the quality inspection records to analyze the waste gas composition and concentration changes, determine key adjustment points, adjust the operation of the waste gas treatment equipment, optimize the treatment effect, and generate quality control review results.

[0013] As a further solution of the present invention, the steps for obtaining the optimized exhaust gas treatment strategy are specifically as follows: S421: Analyze the quality control review results, identify non-conformances of critical control points by comparing the deviations between real-time operations and standard procedures, and conduct targeted investigations, including on-site inspections and operator interviews, using the formula: ; Get the exhaust gas treatment parameter adjustment requirements, where: is the current treatment efficiency of the exhaust gas components, For the new processing target, For the previous data deviation, is the adjustment factor, Indicates the need to adjust exhaust gas treatment parameters; S422: Based on the exhaust gas treatment parameter adjustment requirements, parameter analysis and simulation tests are performed, and the treatment strategy is adjusted according to the analysis results and test feedback to optimize the overall treatment effect, using the formula: ; Get the strategy tuning results, where Indicates the need to adjust the exhaust gas treatment parameters. It is the environmental standard requirement. It is a technical feasibility assessment. Indicates the strategy tuning result; S423: Integrate the strategy tuning results into the exhaust gas treatment operation, analyze the key parameters of the strategy tuning, determine the impact on the exhaust gas treatment effect, adjust the operation parameters according to the analysis results, and obtain the optimized exhaust gas treatment strategy.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by constructing a volatile organic compound reaction model and a waste gas conversion pathway diagram, the conversion pathway of chemical components in the waste gas treatment process is effectively mapped, and accurate identification of key chemical reactions and catalyst monitoring points is achieved. The operating parameters of the waste gas treatment equipment, such as temperature, pressure and reaction time, can be accurately adjusted to optimize equipment performance and treatment efficiency. This optimization not only improves the operating efficiency of the equipment, but also enhances the quality control of waste gas components. Through regular quality reviews, the continuous optimization of waste gas treatment strategies and practices is ensured. Through a comprehensive monitoring and response mechanism, the safety and environmental protection effects of waste gas treatment are significantly improved, environmental pollution and health risks are reduced, and it helps to achieve the effective implementation of sustainable development policies. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the main steps of the present invention; Figure 2 It is a flow chart of the exhaust gas conversion pathway diagram in the present invention; Figure 3 A flowchart of the key monitoring point identification results in the present invention; Figure 4 is a flow chart of the security monitoring framework in the present invention; Figure 5 is a flow chart of the adjusted operating parameters in the present invention; Figure 6 A flow chart showing the device performance optimization results in the present invention; Figure 7 A flow chart showing the quality control review results in the present invention; Figure 8 It is a flow chart of the optimized exhaust gas treatment strategy in the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0018] Embodiment 1 See also Figure 1 The present invention provides a technical solution: a method for monitoring waste gas components for organic waste gas treatment, comprising the following steps: S1: Capture laboratory and field chemical reaction data, model volatile organic compounds, calculate the parameters of reactants and products, generate a volatile organic compound reaction model, describe the conversion path of chemical components in the exhaust gas treatment process through the volatile organic compound reaction model, and generate an exhaust gas conversion path diagram; S2: Based on the exhaust gas conversion pathway diagram, formulate a monitoring plan for the target chemical reaction, identify the key monitoring points of the catalyst through the monitoring plan, generate key monitoring point identification results, use the key monitoring point identification results to adjust the monitoring strategy and response mechanism, and generate a safety monitoring framework; S3: Based on the safety monitoring framework, adjust the operating parameters of the exhaust gas treatment equipment, including temperature, pressure and reaction time, generate adjusted operating parameters, use the adjusted operating parameters to optimize the exhaust gas treatment equipment, and process multiple chemical components to generate equipment performance optimization results; S4: Based on the equipment efficiency optimization results, implement quality control of exhaust gas composition, generate quality control review results through regular quality review process, use the quality control review results to modify exhaust gas treatment strategies and practices, and generate optimized exhaust gas treatment strategies.

[0019] The volatile organic compound reaction model includes reaction kinetic parameters, stability indicators, and chemical conversion paths. The exhaust gas conversion path diagram includes reaction node types, connection strength, and path variables. The key monitoring point identification results include monitoring point classification, induction intensity, and monitoring priority. The safety monitoring framework includes emergency response measures, strategy adjustment parameters, and monitoring rule settings. The adjusted operating parameters include temperature adjustment value, pressure adjustment value, and time adjustment interval. The equipment efficiency optimization results include efficiency improvement ratio, energy utilization rate, and maintenance cycle. The quality control review results include review cycle, problem frequency, and rectification success rate. The optimized exhaust gas treatment strategy includes strategy revision details, implementation standards, and performance improvement indicators.

[0020] See also Figure 2 , the specific steps for obtaining the exhaust gas conversion path diagram are: S111: Capture chemical reaction data in the laboratory and on-site. The data includes the parameters of reactants and products. Determine the initial conditions of the reaction model based on the data and calculate the probability of the reaction occurring under given conditions. The formula is: ; Generate a basic data set of chemical reactions, where represents the probability of a reaction occurring under given conditions, Indicates concentration, Indicates temperature, is the reaction rate constant, is the activation energy, is the universal gas constant; S112: Using the basic data set of chemical reactions, the chemical composition transformation in the exhaust gas treatment process is modeled through dynamic simulation using the formula: ; Calculate the chemical composition conversion rate, where: Represents the chemical composition conversion rate, represents the probability of a reaction occurring under given conditions, is the temperature, is the reaction rate constant; S113: Based on the chemical composition conversion rate, describe the conversion path of chemical components in the waste gas treatment process, using the formula: ; Generate an exhaust gas conversion pathway diagram, where represents the exhaust gas conversion pathway diagram, It is The chemical composition conversion rate of each chemical substance, is the total number of chemical substances.

[0021] The probability formula for a reaction to occur under given conditions is:

[0022] (Concentration): The concentration of the compound directly measured by a chemical analysis instrument, in moles / liter, set to 0.05 moles / liter; (Temperature): The reaction temperature directly measured under experimental conditions, in Kelvin, set to 298K; (Reaction rate constant): Obtained from the literature according to the reaction type and set to L / (mol·s); (Activation energy): standard activation energy obtained from the literature, in Joules / mole, set to 5000 J / mol; (Universal gas constant): known constant 8.314 J / (mol·K); First calculate : ; calculate : ; Index term calculate: ; Final calculation :

[0023] Calculation results It indicates the reactivity of a compound under given conditions.

[0024] Chemical composition conversion formula:

[0025] Bring in from the previous step Results ; calculate : ; calculate :

[0026] Calculation results It indicates the conversion rate of the compound.

[0027] Exhaust gas conversion path diagram formula:

[0028] set up , and set They are ; Calculate each And sum: (Sample calculation) Calculation results Mathematical model representing the exhaust gas conversion pathway diagram.

[0029] See also Figure 3 ,The specific steps for obtaining the key monitoring point identification results are: S211: Extract the key nodes of chemical reactions from the exhaust gas conversion pathway diagram, defined by chemical substances and conversion rates, using the formula: ; Generate a preliminary list of monitoring points, where: Indicates the concentration of a chemical substance. is the location marker in the path map, is the number of nodes in the path graph, represents a preliminary list of monitoring points; S212: Analyze the preliminary list of monitoring points and use the flow and chemical conversion data to evaluate the formula: ; The key monitoring point candidates are calculated, where It's traffic. is the chemical composition conversion rate, is the total amount of material at the monitoring point, is the weight coefficient determined by experiment, Indicates the key monitoring point candidates; S213: Based on the key monitoring point candidates, the monitoring points with the best performance are screened based on the data with traffic and conversion rate greater than the average value, the data fluctuations and trends of the monitoring points are analyzed, the abnormal data fluctuations are recorded, the screening results are reviewed, and the accuracy and consistency of the data are verified to obtain the key monitoring point identification results.

[0030] Preliminary monitoring point list formula:

[0031] : The concentration of the chemical substance, obtained by laboratory measurement, for example, the concentration is obtained by gas chromatography (GC), and the actual value is 0.05 mol / L; : Position identification in the pathway diagram, numbered according to the actual position of the substance in the reaction pathway, for example, the position identification of a key reaction node is 3; : The number of nodes in the path graph, which is the result of an actual count. It is assumed that there are 10 nodes in the path graph; Setting the concentration of the chemical mol / L, node location , number of nodes ,calculate ; Final calculation :

[0032] This result The weighted position factor for a given node is calculated based on the concentration and location of the chemical.

[0033] Key monitoring point candidate formula:

[0034] : Flow rate can be measured by a flow meter, and the measurement value is set to 1.2L / min; : Conversion rate, determined by chemical analysis, set to 0.7; : The total amount of the substance can be determined based on the mass difference of the substance before and after the reaction, and the total amount is set to 0.2 mol; : Weight coefficient. This is estimated based on experimental conditions and previous data, and the weight is set to 2; calculate :

[0035]

[0036]

[0037] This result Indicates the criticality of the monitoring point, taking into account the impact of material flow, conversion rate and total amount of material.

[0038] The results in the previous step are used directly, by comparing each candidate monitoring point value, select the maximum value to determine the key monitoring point, set the maximum value , which means that the highest The monitoring points with the highest values ​​are selected as key monitoring points.

[0039] See also Figure 4 ,The specific steps for obtaining the security monitoring framework are: S221: Extract data from the key monitoring point identification results, analyze the association of monitoring points and data flow, and use the formula: ; Construct an initial monitoring point map, where represents the data density of the monitoring point, represents the weight of the monitoring point, is the total number of monitoring points, Represents the initial monitoring point map; S222: Based on the initial monitoring point map, define the role of each monitoring point in the security monitoring framework, and analyze the data transmission and processing capabilities of each point through the formula: ; Get the defined monitoring point function, where: Indicates the priority of the monitoring point. is a functional indicator, It is the critical degree. is the adjustment factor, Indicates the defined monitoring point function; S223: Combine the defined monitoring point functions, optimize the data capture and identification configuration of abnormal activities, adjust the monitoring strategy, and generate a security monitoring framework.

[0040] The formula for the initial monitoring point map is:

[0041] (Data density): obtained by the frequency of data collected from monitoring. For example, the number of data collected per minute at a monitoring point. If the actual value is set to 120 / minute, it means that the monitoring point collects 120 data per minute. (Weight): The weight assigned according to the importance of the monitoring point, based on the risk assessment results. For example, if a monitoring point is located on a critical device, its weight is set to 2; (Total number of monitoring points): the total number of monitoring points in the monitoring network, which is set to 50; First calculate : ; calculate : ; calculate : ; final : ; This result It represents the average value of the data density adjusted by weight and is used to draw the overall data density map of the monitoring points.

[0042] Defined monitoring point function formula:

[0043] (Priority): It can be set based on the failure frequency or impact of the monitoring point. For example, the priority of the monitoring point is set to 5, which means a higher priority. (Functional indicator): According to the functional role of the monitoring point, such as data processing capacity or transmission speed, it is set to 200Mbps; (Criticality): can be obtained from risk assessment. For example, if it is set to 3, it means that this monitoring point is very critical to system security. (Adjustment Factor): Set to the effect of operating or environmental variables, such as temperature or humidity, set to ; calculate : ; calculate : ; calculate ( is an angle and needs to be converted to radians): ; final : ; This result It indicates the function description value of the monitoring point after adjustment according to the priority and function index under a given adjustment factor.

[0044] See also Figure 5 , the specific steps for obtaining the adjusted operating parameters are: S311: Based on the data output of the safety monitoring framework, analyze the current operating parameters of the exhaust gas treatment equipment, including temperature, pressure and reaction time, and identify the parameters that need to be adjusted using the formula: ; The average operating parameters are obtained, where Represents the current temperature, Represents the current pressure, Represents the current reaction time, represents the average operating parameter; S312: Analyze the average operating parameters, combine the equipment performance and environmental data, and determine the new target parameters through the formula: ; Get the updated operating benchmark, where represents the updated operating baseline, is the environmental factor adjustment rate, is the equipment efficiency loss rate, is the safety adjustment factor, represents the average operating parameter; S313: Apply the updated operating benchmark to the exhaust gas treatment equipment, monitor the current equipment operating status and record baseline performance data, adjust the temperature, pressure and response time settings of the equipment, and obtain adjusted operating parameters.

[0045] The formula for the average operating parameter is:

[0046] (Current temperature): The temperature data is obtained through real-time monitoring of the temperature sensor built into the exhaust gas treatment equipment. The current reading is set to ; (Current pressure): The pressure data is obtained through the pressure sensor. The device is equipped with a high-precision pressure gauge, and the current reading is set to 2atm; (Current Response Time): The response time is based on historical operation data and process optimization log records, and is currently set to 60 minutes; Sum all current operating parameters:

[0047] Calculate the average :

[0048] This result It represents the average operating parameters after considering temperature, pressure and time, providing basic data for subsequent adjustments.

[0049] Updated operating benchmark formula:

[0050] (Basic operating parameters): 137.33 from the result in the previous step; (Environmental factor adjustment rate): Adjusted according to the environmental conditions of the day. Environmental factors such as outdoor temperature or humidity affect device performance. Setting it to 1.05 means a slight adjustment. (Equipment efficiency loss rate): The equipment operating efficiency is reduced due to aging or improper maintenance. It is set to 0.95, indicating that there is efficiency loss; (Safety Adjustment Factor): Safety standards or regulations require additional operational protection, and a setting of 1.11 represents a 10% increase in safety margin; Calculate the ratio of environmental factors to efficiency losses:

[0051] Calculate new operating parameters incorporating safety factors:

[0052] This result Represents adjusted operating parameters that take into account the combined effects of the environment, equipment efficiency, and safety standards.

[0053] See also Figure 6 , the specific steps for obtaining equipment performance optimization results are: S321: Analyze the performance data of the exhaust gas treatment equipment based on the adjusted operating parameters, identify performance fluctuations, and use the formula: ; Obtain environmental risk assessment performance indicators, including: Represents the measured temperature adjustment value, Represents the measured pressure adjustment value, Represents the measured reaction time adjustment value, Represents the unit efficiency of the equipment, represents the environmental risk assessment performance indicator; S322: Evaluate the optimization effect of equipment operation according to the environmental risk assessment performance indicators, using the formula: ; Get the impact measure of the probabilistic event, where It is a performance indicator for environmental risk assessment. is the performance optimization target factor, Represents the impact measure of a probabilistic event; S323: Evaluate the impact metrics of probabilistic events, record operating environment factors, guide the adjustment of operating settings, check the coordination and efficiency of multiple equipment components, adjust operating settings, match environmental changes, and generate equipment performance optimization results.

[0054] Environmental risk assessment performance indicator formula:

[0055] (Temperature): The device’s built-in temperature sensor monitors the device in real time and sets the measured value to ; (Pressure): Pressure data is obtained by the pressure sensor. The equipment is equipped with a high-precision pressure gauge. The actual measured value is ; (Response time): Based on the operation log records, the current response time is set to 60 minutes; (Unit efficiency): obtained through equipment performance test, the unit efficiency value is set to 0.95; Calculate the temperature squared:

[0056] Calculate the square root of the product of the reaction time and the unit efficiency:

[0057] final :

[0058] This result It represents the result of equipment performance evaluation, taking into account temperature, pressure, reaction time and unit efficiency.

[0059] The impact measurement formula of a probabilistic event is:

[0060] (Calculated from the previous step): 32733.33; (Performance optimization target factor): Based on historical data and equipment performance target settings, set to 1.05; Compute the natural logarithm:

[0061] Calculate the square of the performance optimization objective factor:

[0062] final :

[0063] This result It refers to the quantitative evaluation of the treatment efficiency of a specific chemical component after optimizing the equipment performance.

[0064] See also Figure 7 , the specific steps for obtaining the quality control review results are: S411: Based on the equipment efficiency optimization results, capture the operating parameter data from the data management, analyze the impact on the exhaust gas composition treatment, and use the formula: ; Obtain environmental impact assessment values, where: is the adjusted temperature data, is the adjusted pressure data, is the adjusted reaction time, It represents the environmental effect assessment value; S412: Based on the environmental effect assessment value, evaluate the impact of operating parameter adjustments on the quality of exhaust gas components using the formula: ; Generate quality inspection records, including: represents the environmental impact assessment value, is the preset quality control benchmark value, Indicates quality inspection record; S413: Use quality inspection records to analyze waste gas composition and concentration changes, determine key adjustment points, adjust the operation of waste gas treatment equipment, and optimize treatment effects to generate quality control review results.

[0065] Environmental impact assessment value formula:

[0066] (Adjusted temperature data): Monitored by the built-in temperature sensor of the device, the set data is , converted to Kelvin is 623.15K; (Adjusted pressure data): Obtained by pressure sensor, set the data to 2atm; (Adjusted reaction time): obtained through operation records, set to 60 minutes; Temperature and pressure data conversion and processing:

[0067]

[0068] Average calculation:

[0069] Logarithmic processing of reaction time:

[0070] final calculate:

[0071] This result Represents the comprehensive impact assessment of adjusted operating parameters on equipment performance.

[0072] Quality inspection record formula:

[0073] (Calculated from the previous step): 13801.81; (Preset quality control benchmark value): set based on quality standards and set to 100; Index calculation: because The value of is very large, and direct calculation will cause numerical overflow. In actual calculation, this value needs to be processed by special methods or software. The result after processing is set to be approximately (This value is an example, and actual calculation tools are required); Square root processing of the reference value:

[0074] final calculate:

[0075] This result Represents the relative performance assessment of the adjusted parameters against the target quality control benchmark.

[0076] Rationality of parameter acquisition and actual monitoring In actual applications, all parameters such as temperature, pressure and time are directly measured by the sensors of the equipment to ensure the real-time and accuracy of the data. The specific numerical settings of the parameters are within the precise range of the monitoring equipment and the actual operating conditions, avoiding any unrealistic data assumptions. The sensitivity to data changes is improved through logarithmic and exponential processing, so that the results more accurately reflect the effects of actual operations.

[0077] See also Figure 8 , the specific steps for obtaining the optimized exhaust gas treatment strategy are: S421: Analyze the quality control review results, identify non-conformances at critical control points by comparing the actual operation with the standard procedures, and conduct targeted investigations, including on-site inspections and operator interviews, using the formula: ; Get the exhaust gas treatment parameter adjustment requirements, where: is the current treatment efficiency of the exhaust gas components, For the new processing target, For the previous data deviation, is the adjustment factor, Indicates the need to adjust exhaust gas treatment parameters; S422: Based on the need to adjust the exhaust gas treatment parameters, perform parameter analysis and simulation tests, adjust the treatment strategy according to the analysis results and test feedback, and optimize the overall treatment effect. Use the formula: ; Get the strategy tuning results, where Indicates the need to adjust the exhaust gas treatment parameters. It is the environmental standard requirement. It is a technical feasibility assessment. Indicates the strategy tuning result; S423: Integrate the strategy tuning results into the exhaust gas treatment operation, analyze the key parameters of the strategy tuning, determine the impact on the exhaust gas treatment effect, adjust the operating parameters according to the analysis results, and obtain the optimized exhaust gas treatment strategy.

[0078] Exhaust gas treatment parameter adjustment demand formula:

[0079] : The current treatment efficiency of the exhaust gas components, obtained through historical operation data and sensor monitoring, is set to 85%, indicating the proportion of exhaust gas that the exhaust gas treatment system can currently effectively treat; : The new treatment target is set according to environmental protection regulations and the company's expansion plan, and is set at 95%, indicating the new waste gas treatment target set by the company; : Historical data deviation, calculated by the average deviation between the monthly exhaust gas treatment data and the standard data in the past year, set to 5%, representing the average deviation between the historical data and the standard; : Adjustment coefficient, determined based on technical evaluation and equipment performance adjustment, set to 1.2, used to adjust the difficulty of achieving the goal; First calculate ; calculate ; Combining these two results into the formula, we get ; Calculation results , indicating that the adjusted exhaust gas treatment efficiency should be 79.2%, which is the efficiency required to achieve the new treatment target in actual operation.

[0080] The formula for strategy tuning results is:

[0081] : To adjust demand, 79.2%; : Environmental standard requirements, here is the minimum exhaust gas treatment standard specified in the regulations or standards, set at 90%; : Technical feasibility assessment, based on the technical assessment score, which is set to 0.8 here, representing the difficulty of achieving the new standard technically; according to As Input of formula; calculate ; calculate ; Combining these two results into the formula, we get ; Calculation results , which represents the result of strategy optimization after integrating environmental standards and technical feasibility, approximates the actual efficiency required to reach 97.9% to meet the new operating standards.

[0082] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for monitoring waste gas components for organic waste gas treatment, characterized in that: The following steps are involved: Capturing laboratory and on-site chemical reaction data, modeling volatile organic compounds, calculating parameters of reactants and products, generating a volatile organic compound reaction model, describing the conversion path of chemical components in the waste gas treatment process through the volatile organic compound reaction model, and generating a waste gas conversion path map; Based on the exhaust gas conversion pathway diagram, a monitoring plan for the target chemical reaction is formulated, key monitoring points of the catalyst are identified through the monitoring plan, key monitoring point identification results are generated, and the monitoring strategy and response mechanism are adjusted using the key monitoring point identification results to generate a safety monitoring framework; Based on the safety monitoring framework, adjusting operating parameters of the exhaust gas treatment equipment, including temperature, pressure and reaction time, generating adjusted operating parameters, optimizing the exhaust gas treatment equipment using the adjusted operating parameters, and processing a plurality of chemical components to generate equipment performance optimization results; Based on the equipment performance optimization results, quality control of exhaust gas components is implemented, and through a regular quality review process, quality control review results are generated. The quality control review results are used to modify exhaust gas treatment strategies and practices to generate an optimized exhaust gas treatment strategy.

2. The method for monitoring waste gas components for organic waste gas treatment according to claim 1, characterized in that: The steps for obtaining the exhaust gas conversion path map are specifically as follows: Capture chemical reaction data in the laboratory and on-site. The data includes the parameters of reactants and products. Determine the initial conditions of the reaction model based on the data and calculate the probability of the reaction occurring under given conditions. Use the formula: ； Generate a basic data set of chemical reactions, where represents the probability of a reaction occurring under given conditions, Indicates concentration, Indicates temperature, is the reaction rate constant, is the activation energy, is the universal gas constant; Using the basic data set of the chemical reactions, the chemical composition transformation in the exhaust gas treatment process is modeled through dynamic simulation using the formula: ； Calculate the chemical composition conversion rate, where: Represents the chemical composition conversion rate, represents the probability of a reaction occurring under given conditions, is the temperature, is the reaction rate constant; According to the chemical composition conversion rate, the conversion path of the chemical composition in the waste gas treatment process is described using the formula: ； Generate an exhaust gas conversion pathway diagram, where represents the exhaust gas conversion pathway diagram, It is The chemical composition conversion rate of each chemical substance, is the total number of chemical substances.

3. The method for monitoring waste gas components for organic waste gas treatment according to claim 2, characterized in that: The steps for obtaining the key monitoring point identification results are specifically as follows: The key nodes of the chemical reaction are extracted from the exhaust gas conversion pathway diagram, defined by chemical substances and conversion rates, and the formula is: ； Generate a preliminary list of monitoring points, where: Indicates the concentration of a chemical substance. is the location marker in the path map, is the number of nodes in the path graph, represents a preliminary list of monitoring points; The preliminary list of monitoring points was analyzed and evaluated using flow and chemical conversion data, using the formula: ； The key monitoring point candidates are calculated, where It's traffic. is the chemical composition conversion rate, is the total amount of material at the monitoring point, is the weight coefficient determined by experiment, Indicates the key monitoring point candidates; According to the key monitoring point candidates, based on the data with traffic and conversion rate greater than the average, the monitoring points with the best performance are screened, the data fluctuations and trends of the monitoring points are analyzed, the abnormal data fluctuations are recorded, the screening results are reviewed, and the accuracy and consistency of the data are verified to obtain the key monitoring point identification results.

4. The method for monitoring waste gas components for organic waste gas treatment according to claim 3, characterized in that: The steps for obtaining the security monitoring framework are specifically as follows: Extract data from the key monitoring point identification results, analyze the association of monitoring points and data flow, and use the formula: ； Construct an initial monitoring point map, where represents the data density of the monitoring point, represents the weight of the monitoring point, is the total number of monitoring points, Represents the initial monitoring point map; According to the initial monitoring point map, define the role of each monitoring point in the security monitoring framework, and analyze the data transmission and processing capabilities of each point through the formula: ； Get the defined monitoring point function, where: Indicates the priority of the monitoring point. is a functional indicator, It is the critical degree. is the adjustment factor, Indicates the defined monitoring point function; Combined with the defined monitoring point functions, optimize the data capture and abnormal activity identification configuration, adjust the monitoring strategy, and generate a security monitoring framework.

5. The method for monitoring waste gas components for organic waste gas treatment according to claim 4, characterized in that: The steps for obtaining the adjusted operating parameters are specifically as follows: Based on the data output of the safety monitoring framework, the current operating parameters of the exhaust gas treatment equipment, including temperature, pressure and reaction time, are analyzed to identify the parameters that need to be adjusted, using the formula: ； The average operating parameters are obtained, where Represents the current temperature, Represents the current pressure, Represents the current reaction time, represents the average operating parameter; Analyze the average operating parameters, combine equipment performance and environmental data, and determine new target parameters, using the formula: ； Get the updated operating benchmark, where represents the updated operating baseline, is the environmental factor adjustment rate, is the equipment efficiency loss rate, is the safety adjustment factor, represents the average operating parameter; Apply the updated operating benchmark to the exhaust gas treatment equipment, monitor the current equipment operating status and record baseline performance data, adjust the temperature, pressure and response time settings of the equipment, and obtain adjusted operating parameters.

6. The method for monitoring waste gas components for organic waste gas treatment according to claim 5, characterized in that: The steps for obtaining the equipment performance optimization result are specifically as follows: According to the adjusted operating parameters, the performance data of the exhaust gas treatment equipment is analyzed to identify performance fluctuations, and the formula: ； Obtain environmental risk assessment performance indicators, including: represents the measured temperature adjustment value, Represents the measured pressure adjustment value, Represents the measured reaction time adjustment value, Represents the unit efficiency of the equipment, represents the environmental risk assessment performance indicator; According to the environmental risk assessment performance indicators, the optimization effect of equipment operation is evaluated through the formula: ； Get the impact measure of the probabilistic event, where It is a performance indicator for environmental risk assessment. is the performance optimization target factor, Represents the impact measure of a probabilistic event; Evaluate the impact metric of the probabilistic event, record operating environment factors, guide the adjustment of operating settings, check the coordination and efficiency of multiple equipment components, adjust operating settings, match environmental changes, and generate equipment performance optimization results.

7. The method for monitoring waste gas components for organic waste gas treatment according to claim 6, characterized in that: The specific steps for obtaining the quality control review results are: According to the equipment efficiency optimization results, the operating parameter data is captured from the data management, and the impact on the exhaust gas component treatment is analyzed through the formula: ； Obtain environmental impact assessment values, where: is the adjusted temperature data, is the adjusted pressure data, is the adjusted reaction time, It represents the environmental effect assessment value; According to the environmental effect evaluation value, the influence of the adjustment of the operating parameters on the quality of the exhaust gas components is evaluated using the formula: ； Generate quality inspection records, including: represents the environmental impact assessment value, is the preset quality control benchmark value, Indicates quality inspection record; Utilize the quality inspection records to analyze the waste gas composition and concentration changes, determine key adjustment points, adjust the operation of the waste gas treatment equipment, and optimize the treatment effect to generate quality control review results.

8. The method for monitoring waste gas components for organic waste gas treatment according to claim 7, characterized in that: The steps for obtaining the optimized exhaust gas treatment strategy are specifically as follows: Analyze the quality control review results, identify non-conformances of critical control points by comparing the actual operation with the standard procedures, and conduct targeted investigations, including on-site inspections and operator interviews, using the formula: ； Get the exhaust gas treatment parameter adjustment requirements, where: is the current treatment efficiency of the exhaust gas components, For the new processing target, For the previous data deviation, is the adjustment factor, Indicates the need to adjust exhaust gas treatment parameters; Based on the exhaust gas treatment parameter adjustment requirements, parameter analysis and simulation tests are performed. According to the analysis results and test feedback, the treatment strategy is adjusted to optimize the overall treatment effect. The formula is used: ； Get the strategy tuning results, where Indicates the need to adjust the exhaust gas treatment parameters. It is the environmental standard requirement. It is a technical feasibility assessment. Indicates the strategy tuning result; The strategy tuning results are integrated into the exhaust gas treatment operation, the key parameters of the strategy tuning are analyzed, the impact on the exhaust gas treatment effect is determined, and the operating parameters are adjusted according to the analysis results to obtain the optimized exhaust gas treatment strategy.

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