Waste gas concentration intelligent detection system and method adaptive to non-methane hydrocarbon monitoring

Abstract

The invention belongs to the field of waste gas emission, relates to a data analysis technology, is used for solving the problem that emission parameters in a waste gas emission system cannot be optimally controlled in the prior art, and particularly relates to a waste gas concentration intelligent detection system and method adaptive to non-methane total hydrocarbon monitoring, and the system comprises a waste gas supervision subsystem, an intelligent detection subsystem and a database, the waste gas supervision subsystem comprises a waste gas emission supervision module, an emission data analysis module and a control optimization module; the waste gas emission supervision module is used for carrying out emission supervision analysis on waste gas; a treatment period is generated, and emission supervision data of the waste gas is obtained in real time when waste gas emission is carried out in the treatment period; sending the emission supervision data to an emission data analysis module; according to the method, control optimization analysis can be carried out on exhaust emission parameters, interval segmentation is carried out on the gas inlet concentration range, optimization control is carried out on subsequent emission parameters of an exhaust emission system through the emission speed threshold value, and the probability of exhaust emission abnormity is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of waste gas emissions, involves data analysis technology, and specifically is an intelligent detection system and method for waste gas concentration adapted to non-methane total hydrocarbon monitoring. Background Art

[0002] ‌A waste gas emission detection system‌ is a device and technology for real-time monitoring and measurement of various pollutants in industrial or vehicle exhaust emissions. Its main purpose is to ensure that emissions meet environmental protection standards and reduce the impact on the environment and human health;

[0003] Non-methane total hydrocarbons (NMHC) refer to the sum of all volatile organic compounds except methane. Monitoring and measuring NMHC can help evaluate the pollution degree and sources of organic compounds in the atmosphere. When the NMHC in the atmosphere exceeds a certain concentration, in addition to being directly harmful to human health, it can also generate photochemical smog under certain conditions of sunlight irradiation, causing harm to the environment and humans.

[0004] The invention patent with the publication number CN110411973B discloses a method for detecting the concentration of non-methane total hydrocarbons in a gas. This method detects non-methane total hydrocarbons based on the catalytic oxidation-NDIR technology. By using the selective catalytic oxidation of methane-ethane mixed gas as a model reaction (ethane is the most difficult to oxidize in non-methane total hydrocarbons), it is confirmed that the catalyst used has the ability to very efficiently selectively convert NMHC (such as ethane) without converting methane, and is completely applicable to the application in non-methane total hydrocarbon detection; however, this method cannot optimize and control the emission parameters in the waste gas emission system, nor can it perform optimization decision analysis on the waste gas emission system when the waste gas emission concentration is abnormal, resulting in low optimization efficiency of the waste gas emission system.

[0005] In view of the above technical problems, the present application proposes a solution. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent detection system and method for waste gas concentration adapted to non-methane total hydrocarbon monitoring, which is used to solve the problem that the existing technology cannot optimize and control the emission parameters in the waste gas emission system;

[0007] The technical problem to be solved by the present invention is: how to provide an intelligent detection system and method for waste gas concentration adapted to non-methane total hydrocarbon monitoring that can optimize and control the emission parameters in the waste gas emission system.

[0008] The purpose of the present invention can be achieved by the following technical solutions:

[0009] An intelligent detection system for waste gas concentration adapted to the monitoring of total non-methane hydrocarbons, including a waste gas supervision subsystem, an intelligent detection subsystem, and a database. The waste gas supervision subsystem includes a waste gas emission supervision module, an emission data analysis module, and a control optimization module;

[0010] The waste gas emission supervision module is used to conduct emission supervision and analysis on waste gas: generate a processing cycle, and during the waste gas emission within the processing cycle, obtain the emission supervision data of the waste gas in real time; send the emission supervision data to the emission data analysis module;

[0011] The emission data analysis module is used to process and analyze the emission supervision data of the waste gas: determine whether the waste gas emission meets the requirements through the emission supervision data, generate a processing abnormal group when not meeting the requirements, and send all the processing abnormal groups within the processing cycle to the control optimization module;

[0012] The control optimization module is used to conduct control optimization analysis on the emission parameters of the waste gas: form an intake concentration range from the maximum and minimum values of the intake concentration within the processing cycle, divide the intake concentration range into several intake concentration intervals, and mark the exhaust speed thresholds for the intake concentration intervals; send the exhaust speed thresholds for all intake concentration intervals to the database for storage;

[0013] The intelligent detection subsystem includes an intelligent control module and an intelligent detection module;

[0014] The intelligent control module is used to conduct intelligent control on the waste gas emission system through the exhaust speed threshold;

[0015] The intelligent detection module is used to conduct intelligent detection and analysis on the waste gas emission system.

[0016] Furthermore, the emission supervision data includes the intake concentration value, the emission speed value, and the exhaust concentration value. The intake concentration value and the exhaust concentration value are respectively the total non-methane hydrocarbon values of the waste gas at the intake end and the outlet end of the waste gas treatment mechanism, and the total non-methane hydrocarbon value is obtained by a total non-methane hydrocarbon analyzer.

[0017] Furthermore, the specific process of determining whether the waste gas emission meets the requirements includes: retrieving the exhaust concentration threshold from the database, and comparing the exhaust concentration value with the exhaust concentration threshold within the processing cycle: if the exhaust concentration value is less than the exhaust concentration threshold, it is determined that the waste gas emission meets the requirements; if the exhaust concentration value is greater than or equal to the exhaust concentration threshold, it is determined that the waste gas emission does not meet the requirements, and the intake concentration value and the emission speed value corresponding to the exhaust concentration value are marked as a group of processing abnormal groups.

[0018] Furthermore, the specific process of marking the exhaust speed threshold value of the intake concentration interval includes: marking the processed abnormal group whose intake concentration value is within the intake concentration interval as the matching abnormal group of the intake concentration interval, forming an exhaust speed abnormal set from all the emission speed values ​​in the matching abnormal group of the intake concentration interval, and performing data cleaning on the exhaust speed abnormal set to obtain the exhaust speed threshold value.

[0019] Furthermore, the specific process of data cleaning for the speed abnormality set includes: performing variance calculation on all elements in the speed abnormality set to obtain the speed concentration coefficient of the speed abnormality set, obtaining the speed concentration threshold through the database, and comparing the speed concentration coefficient of the speed abnormality set with the speed concentration threshold: if the speed concentration coefficient is less than the speed concentration threshold, then the minimum value in the speed abnormality set is marked as the speed threshold of the intake concentration interval; if the speed concentration coefficient is greater than or equal to the speed concentration threshold, then the maximum value and the minimum value in the speed abnormality set are eliminated, and then the speed concentration coefficient is recalculated, and so on, until the speed concentration coefficient is less than the speed concentration threshold or the number of calculations of the speed concentration coefficient reaches L1.

[0020] Furthermore, the specific process of the intelligent control module for intelligently controlling the exhaust emission system includes: generating an emission cycle, obtaining the intake concentration value of the exhaust gas in real time when exhaust gas is emitted within the emission cycle, retrieving the exhaust speed threshold corresponding to the intake concentration range to which the intake concentration value belongs through the database, randomly setting an emission adjustment value less than the exhaust speed threshold, and setting the exhaust gas emission speed to the emission adjustment value; obtaining the exhaust concentration value of the exhaust gas in real time, comparing the exhaust concentration value with the exhaust concentration threshold, generating an intelligent detection signal when the exhaust gas emission does not meet the requirements and sending the intelligent detection signal to the intelligent detection module.

[0021] Furthermore, the specific process of the intelligent detection module performing intelligent detection and analysis on the exhaust emission system includes: marking the difference between the exhaust concentration value and the exhaust concentration threshold as the displacement difference data PC, and marking the difference between the exhaust speed threshold and the emission adjustment value as the speed difference data SC; obtaining the purification optimization coefficient JH by numerically calculating the displacement difference data PC and the speed difference data SC; obtaining the purification optimization threshold JHmax through the database, and comparing the purification optimization coefficient JH of the exhaust emission system with the purification optimization threshold JHmax: if the purification optimization coefficient JH is less than the purification optimization threshold JHmax, a supervision update signal is generated and sent to the exhaust emission supervision module. After receiving the supervision update signal, the exhaust emission supervision module regenerates the processing cycle and updates the intake concentration range and the exhaust speed threshold; if the purification optimization coefficient JH is greater than or equal to the purification optimization threshold JHmax, a purification mechanism optimization signal is generated and sent to the mobile phone terminal of the manager.

[0022] Intelligent detection method for waste gas concentration adapted to the monitoring of total non-methane hydrocarbons, comprising the following steps:

[0023] Step 1: Conduct emission supervision and analysis on the waste gas: Generate a processing cycle, and during the waste gas emission within the processing cycle, obtain the emission supervision data of the waste gas in real time;

[0024] Step 2: Process and analyze the emission supervision data of the waste gas and mark the processing abnormal group when the waste gas emission does not meet the requirements;

[0025] Step 3: Conduct control optimization analysis on the emission parameters of the waste gas and mark the exhaust speed threshold for the intake concentration range;

[0026] Step 4: Intelligently control the waste gas emission system through the exhaust speed threshold;

[0027] Step 5: Conduct intelligent detection and analysis on the waste gas emission system.

[0028] The present invention has the following beneficial effects:

[0029] 1. Through the waste gas emission supervision module, emission supervision and analysis can be carried out on the waste gas, the emission supervision data can be collected during the waste gas emission, and the waste gas emission status can be evaluated according to the exhaust gas concentration value in the emission supervision data. When the waste gas emission is abnormal, the processing abnormal group is marked, providing data support for the control optimization analysis process;

[0030] 2. Through the control optimization module, control optimization analysis can be carried out on the emission parameters of the waste gas, the intake concentration range can be segmented, and then data cleaning is performed on the exhaust speed abnormal set corresponding to each intake concentration range to obtain the exhaust speed threshold. The subsequent emission parameters of the waste gas emission system are optimized and controlled through the exhaust speed threshold, reducing the probability of abnormal waste gas emission;

[0031] 3. Through the intelligent detection module, intelligent detection and analysis can be carried out on the waste gas emission system. When waste gas emission abnormality occurs during the emission cycle, a numerical calculation is performed on the emission adjustment value and the exhaust gas concentration value at the time of abnormality to obtain a purification optimization coefficient, and the optimization decision of the waste gas emission system is marked through the purification optimization coefficient, improving the optimization efficiency of the waste gas emission system. Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0033] Figure 1It is the overall system block diagram of the present invention;

[0034] Figure 2 It is the system block diagram of the first embodiment of the present invention;

[0035] Figure 3 It is the system block diagram of the second embodiment of the present invention;

[0036] Figure 4 It is the method flow chart of the third embodiment of the present invention. Specific implementation manners

[0037] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0038] As Figure 1 shown, an intelligent detection system for waste gas concentration adapted to the monitoring of total non-methane hydrocarbons includes a waste gas supervision subsystem, an intelligent detection subsystem, and a database. The waste gas supervision subsystem includes a waste gas emission supervision module, an emission data analysis module, and a control optimization module. The intelligent detection subsystem includes an intelligent control module and an intelligent detection module.

[0039] Embodiment 1: As Figure 2 shown, the waste gas emission supervision module is used to conduct emission supervision and analysis on waste gas: generate a processing cycle, and during the processing cycle, when waste gas is emitted, the intake concentration value, emission speed value, and exhaust concentration value of the waste gas are obtained in real time. The emission supervision data is composed of the intake concentration value, emission speed value, and exhaust concentration value. The intake concentration value and the exhaust concentration value are respectively the total non-methane hydrocarbon values of the waste gas at the intake end and the outlet end of the waste gas treatment mechanism, and the total non-methane hydrocarbon value is obtained by a total non-methane hydrocarbon analyzer; the emission supervision data is sent to the emission data analysis module.

[0040] The emission data analysis module is used to process and analyze the emission supervision data of the waste gas: retrieve the exhaust concentration threshold through the database, and compare the exhaust concentration value with the exhaust concentration threshold during the processing cycle: if the exhaust concentration value is less than the exhaust concentration threshold, it is determined that the waste gas emission meets the requirements; if the exhaust concentration value is greater than or equal to the exhaust concentration threshold, it is determined that the waste gas emission does not meet the requirements, and the intake concentration value and emission speed value corresponding to the exhaust concentration value are marked as a group of processing abnormal groups, and all the processing abnormal groups during the processing cycle are sent to the control optimization module; collect the emission supervision data during the waste gas emission, and evaluate the waste gas emission status according to the exhaust concentration value in the emission supervision data, and mark the processing abnormal groups when the waste gas emission is abnormal, providing data support for the control optimization analysis process.

[0041] The control optimization module is used to conduct control optimization analysis on the emission parameters of waste gas: the maximum and minimum values of the intake concentration within the treatment cycle form the intake concentration range, the intake concentration range is divided into several intake concentration intervals, the treatment anomaly groups in the treatment anomaly group with intake concentration values within the intake concentration interval are marked as the matching anomaly groups of the intake concentration interval, all the emission speed values in the matching anomaly groups of the intake concentration interval form the abnormal emission speed set, the variance of all elements in the abnormal emission speed set is calculated to obtain the emission speed concentration coefficient of the abnormal emission speed set, the emission speed concentration threshold is obtained through the database, and the emission speed concentration coefficient of the abnormal emission speed set is compared with the emission speed concentration threshold: if the emission speed concentration coefficient is less than the emission speed concentration threshold, the minimum value in the abnormal emission speed set is marked as the emission speed threshold of the intake concentration interval; if the emission speed concentration coefficient is greater than or equal to the emission speed concentration threshold, the maximum and minimum values in the abnormal emission speed set are removed, and then the emission speed concentration coefficient is recalculated, and so on, until the emission speed concentration coefficient is less than the emission speed concentration threshold or the calculation times of the emission speed concentration coefficient reach L1, L1 is a numerical constant, and the specific value of L1 is set by the management personnel themselves; the emission speed thresholds of all intake concentration intervals are sent to the database for storage; the intake concentration range is divided into intervals, and then data cleaning is performed on the abnormal emission speed set corresponding to each intake concentration interval to obtain the emission speed threshold, and the subsequent emission parameters of the waste gas emission system are optimized and controlled through the emission speed threshold to reduce the probability of abnormal waste gas emission.

[0042] Example 2: As Figure 3 shown, the intelligent control module is used to conduct intelligent control on the waste gas emission system: generate an emission cycle, obtain the intake concentration value of the waste gas in real time during the waste gas emission within the emission cycle, retrieve the emission speed threshold corresponding to the intake concentration interval to which the intake concentration value belongs through the database, randomly set an emission adjustment value less than the emission speed threshold, and set the waste gas emission speed to the emission adjustment value; obtain the exhaust concentration value of the waste gas in real time, compare the exhaust concentration value with the exhaust concentration threshold, and generate an intelligent detection signal and send the intelligent detection signal to the intelligent detection module when the waste gas emission does not meet the requirements.

[0043] The intelligent detection module is used to conduct intelligent detection and analysis on the exhaust gas emission system: the difference between the exhaust gas concentration value and the exhaust gas concentration threshold is marked as the exhaust difference data PC, and the difference between the exhaust speed threshold and the emission adjustment value is marked as the speed difference data SC; the purification optimization coefficient JH is obtained through the formula JH = α1×PC + α2×SC, where both α1 and α2 are proportionality coefficients, and α1 > α2 > 1; the purification optimization threshold JHmax is obtained through the database, and the purification optimization coefficient JH of the exhaust gas emission system is compared with the purification optimization threshold JHmax: if the purification optimization coefficient JH is less than the purification optimization threshold JHmax, a supervision update signal is generated and sent to the exhaust gas emission supervision module, and after receiving the supervision update signal, the exhaust gas emission supervision module regenerates the processing cycle and updates the intake gas concentration range and the exhaust speed threshold; if the purification optimization coefficient JH is greater than or equal to the purification optimization threshold JHmax, a purification mechanism optimization signal is generated and sent to the mobile terminal of the management personnel; when abnormal exhaust gas emissions occur during the emission cycle, numerical calculations are performed on the emission adjustment value and the exhaust gas concentration value at the time of abnormality to obtain the purification optimization coefficient, and the optimization decision of the exhaust gas emission system is marked through the purification optimization coefficient to improve the optimization efficiency of the exhaust gas emission system.

[0044] Embodiment 3: As Figure 4 shown, an intelligent detection method for exhaust gas concentration adapted to the monitoring of total hydrocarbons other than methane includes the following steps:

[0045] Step 1: Conduct exhaust gas emission supervision and analysis: Generate a processing cycle, and during the processing cycle, obtain the exhaust gas emission supervision data in real time when exhaust gas is emitted.

[0046] Step 2: Process and analyze the exhaust gas emission supervision data: When the exhaust gas emission does not meet the requirements, mark the intake gas concentration value and the emission speed value corresponding to the exhaust gas concentration value as a group of processing abnormal groups.

[0047] Step 3: Control and optimize the exhaust gas emission parameters: The intake gas concentration range is composed of the maximum and minimum values of the intake gas concentration within the processing cycle, the intake gas concentration range is divided into several intake gas concentration intervals, and the exhaust speed threshold for each intake gas concentration interval is marked.

[0048] Step 4: Intelligently control the exhaust gas emission system: Generate an emission cycle, and during the emission cycle, set the emission adjustment value through the intake gas concentration value and the exhaust speed threshold corresponding to the intake gas concentration interval when exhaust gas is emitted, and set the exhaust gas emission speed to the emission adjustment value.

[0049] Step 5: Conduct intelligent detection and analysis on the exhaust gas emission system: When the exhaust gas emission does not meet the requirements, obtain the purification optimization coefficient JH, and mark the optimization decision of the exhaust gas emission system through the purification optimization coefficient JH.

[0050] An intelligent detection system and method for waste gas concentration adapted to the monitoring of total non-methane hydrocarbons. During operation, a processing cycle is generated, and during the waste gas emission within the processing cycle, the emission supervision data of the waste gas is obtained in real time; when the waste gas emission does not meet the requirements, the intake air concentration value and the emission speed value corresponding to the exhaust gas concentration value are marked as a group of processing abnormal groups; the intake air concentration range is composed of the maximum value and the minimum value of the intake air concentration value within the processing cycle, and the intake air concentration range is divided into several intake air concentration intervals, and the exhaust speed threshold for each intake air concentration interval is marked; an emission cycle is generated, and during the waste gas emission within the emission cycle, the emission adjustment value is set by the intake air concentration value and the exhaust speed threshold corresponding to the intake air concentration interval, and the waste gas emission speed is set to the emission adjustment value; when the waste gas emission does not meet the requirements, the purification optimization coefficient JH is obtained, and the optimization decision of the waste gas emission system is marked by the purification optimization coefficient JH.

[0051] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

[0052] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formula are set by those skilled in the art according to the actual situation; for example: the formula JH = α1×PC + α2×SC; those skilled in the art collect multiple groups of sample data and set the corresponding purification optimization coefficient for each group of sample data; substitute the set purification optimization coefficient and the collected sample data into the formula, and any two formulas form a binary linear equation system, and the calculated coefficients are screened and averaged to obtain the values of α1 and α2 as 2.49 and 2.21 respectively;

[0053] The size of the coefficient is a specific value obtained by quantifying each parameter for subsequent comparison. Regarding the size of the coefficient, it depends on the amount of sample data and the preliminary setting of the corresponding purification optimization coefficient for each group of sample data by those skilled in the art; as long as it does not affect the proportional relationship between the parameter and the quantified value, for example, the purification optimization coefficient is proportional to the value of the exhaust difference data.

[0054] In the description of this specification, the description referring to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0055] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, according to the content of this specification, many modifications and variations can be made. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Intelligent exhaust gas concentration detection system suitable for non-methane total hydrocarbon monitoring, characterized by: It includes an exhaust gas monitoring subsystem, an intelligent detection subsystem and a database, wherein the exhaust gas monitoring subsystem includes an exhaust gas emission monitoring module, an emission data analysis module and a control optimization module; The exhaust gas emission monitoring module is used to monitor and analyze the exhaust gas emission: generate a processing cycle, obtain the exhaust gas emission monitoring data in real time when the exhaust gas is discharged during the processing cycle; send the emission monitoring data to the emission data analysis module; The emission data analysis module is used to process and analyze the exhaust gas emission supervision data: determine whether the exhaust gas emission meets the requirements through the emission supervision data, generate a processing exception group when the requirements are not met, and send all the processing exception groups within the processing cycle to the control optimization module; The control optimization module is used to perform control optimization analysis on the exhaust gas emission parameters: the maximum and minimum intake concentration values ​​in the processing cycle constitute an intake concentration range, the intake concentration range is divided into a number of intake concentration intervals, and the exhaust speed thresholds of the intake concentration intervals are marked; the exhaust speed thresholds of all intake concentration intervals are sent to the database for storage; The intelligent detection subsystem includes an intelligent control module and an intelligent detection module; The intelligent control module is used to intelligently control the exhaust emission system through the exhaust speed threshold; The intelligent detection module is used to perform intelligent detection and analysis on the exhaust emission system.

2. The intelligent exhaust gas concentration detection system suitable for monitoring non-methane total hydrocarbons according to claim 1 is characterized in that: The emission monitoring data include intake concentration value, emission speed value and exhaust concentration value. The intake concentration value and exhaust concentration value are respectively the non-methane total hydrocarbon values ​​of the exhaust gas at the intake and outlet ends of the exhaust treatment mechanism. The non-methane total hydrocarbon values ​​are obtained by a non-methane total hydrocarbon analyzer.

3. The intelligent exhaust gas concentration detection system suitable for monitoring non-methane total hydrocarbons according to claim 2 is characterized in that: The specific process of determining whether exhaust gas emissions meet the requirements includes: retrieving the exhaust concentration threshold through the database, and comparing the exhaust concentration value with the exhaust concentration threshold within the processing cycle: if the exhaust concentration value is less than the exhaust concentration threshold, it is determined that the exhaust gas emissions meet the requirements; if the exhaust concentration value is greater than or equal to the exhaust concentration threshold, it is determined that the exhaust gas emissions do not meet the requirements, and the intake concentration value and the emission speed value corresponding to the exhaust concentration value are marked as a group of abnormal processing groups.

4. The intelligent exhaust gas concentration detection system suitable for monitoring non-methane total hydrocarbons according to claim 3 is characterized in that: The specific process of marking the exhaust speed threshold value of the intake concentration interval includes: marking the processing abnormal group whose intake concentration value is within the intake concentration interval as the matching abnormal group of the intake concentration interval, forming an exhaust speed abnormal set from all the emission speed values ​​in the matching abnormal group of the intake concentration interval, and performing data cleaning on the exhaust speed abnormal set to obtain the exhaust speed threshold value.

5. The intelligent exhaust gas concentration detection system suitable for monitoring non-methane total hydrocarbons according to claim 4 is characterized in that: The specific process of data cleaning for the speed anomaly set includes: performing variance calculation on all elements in the speed anomaly set to obtain the speed concentration coefficient of the speed anomaly set, obtaining the speed concentration threshold through the database, and comparing the speed concentration coefficient of the speed anomaly set with the speed concentration threshold: if the speed concentration coefficient is less than the speed concentration threshold, then the minimum value in the speed anomaly set is marked as the speed threshold of the intake concentration interval; if the speed concentration coefficient is greater than or equal to the speed concentration threshold, then the maximum and minimum values ​​in the speed anomaly set are eliminated, and then the speed concentration coefficient is recalculated, and so on, until the speed concentration coefficient is less than the speed concentration threshold or the number of calculations of the speed concentration coefficient reaches L1.

6. The intelligent exhaust gas concentration detection system suitable for monitoring non-methane total hydrocarbons according to claim 1 is characterized in that: The specific process of the intelligent control module for intelligently controlling the exhaust emission system includes: generating an emission cycle, obtaining the intake concentration value of the exhaust gas in real time when exhaust gas is discharged within the emission cycle, retrieving the exhaust speed threshold corresponding to the intake concentration range to which the intake concentration value belongs through the database, randomly setting an emission adjustment value that is less than the exhaust speed threshold, and setting the exhaust gas emission speed to the emission adjustment value; obtaining the exhaust concentration value of the exhaust gas in real time, comparing the exhaust concentration value with the exhaust concentration threshold, generating an intelligent detection signal when the exhaust gas emission does not meet the requirements and sending the intelligent detection signal to the intelligent detection module.

7. The intelligent exhaust gas concentration detection system suitable for monitoring non-methane total hydrocarbons according to claim 6 is characterized in that: The specific process of the intelligent detection module performing intelligent detection and analysis on the exhaust emission system includes: marking the difference between the exhaust concentration value and the exhaust concentration threshold as the displacement difference data PC, and marking the difference between the exhaust speed threshold and the emission adjustment value as the speed difference data SC; obtaining the purification optimization coefficient JH by numerically calculating the displacement difference data PC and the speed difference data SC; obtaining the purification optimization threshold JHmax through the database, and comparing the purification optimization coefficient JH of the exhaust emission system with the purification optimization threshold JHmax: if the purification optimization coefficient JH is less than the purification optimization threshold JHmax, a supervision update signal is generated and sent to the exhaust emission supervision module. After receiving the supervision update signal, the exhaust emission supervision module regenerates the processing cycle and updates the intake concentration range and the exhaust speed threshold; if the purification optimization coefficient JH is greater than or equal to the purification optimization threshold JHmax, a purification mechanism optimization signal is generated and sent to the mobile phone terminal of the manager.

8. An intelligent exhaust gas concentration detection method suitable for non-methane total hydrocarbon monitoring, characterized in that: The following steps are involved: Step 1: Conduct emission monitoring and analysis on waste gas: Generate a treatment cycle, and obtain real-time emission monitoring data of waste gas when waste gas is discharged within the treatment cycle; Step 2: Process and analyze the exhaust gas emission monitoring data and mark the abnormal processing group when the exhaust gas emission does not meet the requirements; Step 3: Conduct control optimization analysis on the exhaust gas emission parameters and mark the exhaust speed threshold value in the intake air concentration range; Step 4: Intelligently control the exhaust emission system through the exhaust speed threshold; Step 5: Conduct intelligent detection and analysis of the exhaust emission system.

Images