Waste gas emission concentration online monitoring method based on artificial intelligence

Abstract

The invention belongs to the field of waste gas emission monitoring, relates to a data analysis technology, and aims to solve the problem that the operation parameters of a waste gas emission system cannot be optimally controlled according to the analysis result of components in waste gas in the prior art, in particular to a waste gas emission concentration online monitoring method based on artificial intelligence. Comprising the following steps: carrying out an operation test on an exhaust emission system; processing and analyzing the operation test data of the waste gas emission system, and after the test period, performing optimization analysis on the waste gas emission system and obtaining a conveying priority value of the waste gas sequence; the conveying priority values of all the waste gas sequences are sent to a database to be stored; performing operation control on an exhaust emission system through the conveying priority value; according to the method, operation control is conducted on the waste gas emission system, the output power of the draught fan is set by combining the conveying priority value of the waste gas sequence and the monitoring sequence of the monitoring process, and whole-process optimization control over waste gas emission is achieved by combining the dynamic adjusting process.

Description

Technical Field

[0001] The present invention belongs to the field of waste gas emission monitoring, involves data analysis technology, and specifically is an online monitoring method for waste gas emission concentration based on artificial intelligence. Background Art

[0002] A waste gas treatment system is a facility used to purify harmful waste gases generated in industries, transportation, etc.; its main purpose is to reduce the pollution of waste gases to the environment, protect human health and ecological balance. There are various online monitoring methods for waste gas emission concentration, and choosing suitable methods and technologies is crucial for ensuring environmental safety and human health.

[0003] The invention patent with the publication number CN108645977B discloses an online monitoring system for waste gas emission. This online monitoring system sends the sorted data and the generated data table to the user terminal for the user to monitor and manage waste gas emission in real time and anywhere; however, this online monitoring system cannot analyze the components in the waste gas to optimize and control the operating parameters of the waste gas emission system, resulting in the inability to guarantee the waste gas purification effect and the inability to troubleshoot faults when the waste gas purification effect is abnormal, leading to low fault handling efficiency.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide an online monitoring method for waste gas emission concentration based on artificial intelligence, which is used to solve the problem that the existing technology cannot optimize and control the operating parameters of the waste gas emission system according to the analysis results of the components in the waste gas;

[0006] The technical problem to be solved by the present invention is: how to provide an online monitoring method for waste gas emission concentration based on artificial intelligence that can optimize and control the operating parameters of the waste gas emission system according to the analysis results of the components in the waste gas.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] An online monitoring method for waste gas emission concentration based on artificial intelligence includes the following steps:

[0009] Step 1: Conduct an operation test on the exhaust gas emission system: Generate a test cycle, mark the complete process of the exhaust gas emission processed by the exhaust gas emission system during the test cycle as the emission process, mark the exhaust gas type as type i, where i = 1, 2, …, n, and n is a positive integer. Obtain the exhaust gas sequence of the pipeline before the start of the emission process; then randomly select a power value from the range of the fan output power as the conveying value for the emission process, set the output power of the fan to the conveying value, and obtain the average value of the concentration of type i at the emission port at the end of the emission process and mark it as the post-emission concentration PHi;

[0010] Step 2: Process and analyze the operation test data of the exhaust gas emission system. After the test cycle, execute Step 3;

[0011] Step 3: Conduct an optimization analysis on the exhaust gas emission system and obtain the conveying priority value of the exhaust gas sequence; Send the conveying priority values of all exhaust gas sequences to the database for storage;

[0012] Step 4: Conduct operation control on the exhaust gas emission system: Generate a monitoring cycle, mark the complete process of the exhaust gas emission processed by the exhaust gas emission system during the monitoring cycle as the monitoring process. Obtain the exhaust gas sequence of the pipeline before the start of the monitoring process and mark it as the monitoring sequence. Retrieve the conveying priority value of the exhaust gas sequence that is exactly the same as the monitoring sequence and mark it as the monitoring priority value. Set the output power of the fan to the monitoring priority value for exhaust gas emission treatment;

[0013] Step 5: Dynamically adjust the fan parameters of the exhaust gas emission system;

[0014] Step 6: Conduct operation monitoring on the exhaust gas purification effect of the exhaust gas emission system;

[0015] Step 7: Conduct fault troubleshooting and analysis on the exhaust gas emission system.

[0016] Further, in Step 1, the process of obtaining the exhaust gas sequence includes: Obtain the concentration value of type i in the pipeline before the start of the emission process and mark it as the pre-emission concentration PQi. Retrieve the highest concentration threshold GNi of type i in the emission standard. Mark the ratio of the pre-emission concentration PQi to the highest concentration threshold GNi as the base value JCi of type i. Arrange type i in descending order of the base value JCi to obtain the exhaust gas sequence of the pipeline.

[0017] Further, in Step 2, the specific process of processing and analyzing the operation test data of the exhaust gas emission system includes: Obtain the purification coefficient JH of the emission process through the formula where Ki is the proportionality coefficient of type i, and the calculation formula of Ki is: .

[0018] Further, in step three, the process of obtaining the delivery priority value of the exhaust gas sequence includes: marking the emission processes with the same exhaust gas sequence as the matching process of the exhaust gas sequence, marking the matching process with the largest purification coefficient JH value in the same exhaust gas sequence as the optimization process of the exhaust gas sequence, and marking the delivery value of the optimization process as the delivery priority value of the exhaust gas sequence.

[0019] Further, in step five, the specific process of dynamically adjusting the fan parameters of the exhaust gas emission system includes: setting several monitoring time points during the monitoring process, obtaining the exhaust gas sequence of the pipeline at the monitoring time point and marking it as the immediate sequence, retrieving the delivery priority value of the exhaust gas sequence exactly the same as the immediate sequence and marking it as the immediate priority value, and determining whether the fan output power is equal to the immediate priority value: if so, it is determined that the fan parameters do not need to be adjusted, and the current monitoring time point is marked as the continuation time point; if not, it is determined that the fan parameters need to be adjusted, the current monitoring time point is marked as the switching time point, and at the same time, the fan output power is set to the immediate priority value.

[0020] Further, in step six, the specific process of running and monitoring the exhaust gas purification effect of the exhaust gas emission system includes: collecting the concentration value of type i at the emission port at the monitoring time point and marking the collected concentration value as the immediate degree JSi, and obtaining the effect coefficient XG at the monitoring time point through the formula Retrieving the effect threshold XGmin through the database, and comparing the effect coefficient XG at the monitoring time point with the effect threshold XGmin: if the effect coefficient XG is less than the effect threshold XGmin, it is determined that the exhaust gas purification effect of the exhaust gas emission system at the current monitoring time point does not meet the requirements. If the current monitoring time point is marked as the continuation time point, fault analysis is performed and step seven is executed; if the current monitoring time point is marked as the switching time point, no processing is performed; if the effect coefficient XG is greater than or equal to the effect threshold XGmin, it is determined that the exhaust gas purification effect of the exhaust gas emission system at the current monitoring time point meets the requirements.

[0021] Further, in step seven, the specific process of troubleshooting and analyzing the exhaust gas emission system includes: collecting the concentration value of type i in the pipeline at the monitoring time point and marking the collected concentration value as the over-standard value CBi, and obtaining it through the formula Obtain the saturation coefficient BH at the monitoring time point, obtain the saturation threshold BHmax through the database, and compare the saturation coefficient BH with the saturation threshold BHmax: If the saturation coefficient BH is less than the saturation threshold BHmax, it is determined that the waste gas does not exceed the processing capacity of the waste gas emission system, generate a purification troubleshooting signal and send the purification troubleshooting signal to the mobile terminal of the management personnel. After receiving the purification troubleshooting signal, the management personnel conduct abnormal troubleshooting on the purification mechanism of the waste gas emission system; If the saturation coefficient BH is greater than or equal to the saturation threshold BHmax, it is determined that the waste gas exceeds the processing capacity of the waste gas emission system, generate a system optimization signal and send the system optimization signal to the mobile terminal of the management personnel. After receiving the system optimization signal, the management personnel conduct process optimization on the purification mechanism or add a pretreatment mechanism to the waste gas emission system.

[0022] The present invention has the following beneficial effects:

[0023] 1. Through the operation test of the waste gas emission system, the waste gas sequence is statistically analyzed before the start of the emission process, and then the purification effect is analyzed based on the concentration value of the waste gas type at the emission port, and the transmission priority value of the waste gas sequence is generated, providing data support for the optimization control of the waste gas emission system;

[0024] 2. Through the operation control of the waste gas emission system, the output power of the fan is set by combining the transmission priority value of the waste gas sequence and the monitoring sequence during the monitoring process, so that the operating parameters of the waste gas emission system can correspond to the waste gas composition, and the whole process optimization control of waste gas emission is realized through the dynamic adjustment process;

[0025] 3. Through the operation monitoring of the waste gas purification effect of the waste gas emission system, timely alarm is realized when the purification effect is abnormal, improving the timeliness of fault handling. At the same time, the fault handling efficiency is improved by combining the fault troubleshooting and analysis process, ensuring that the waste gas emission system can operate normally. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] 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.

[0027] Figure 1 It is the flowchart of the method in Embodiment 1 of the present invention;

[0028] Figure 2 It is the system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work belong to the scope of protection of the present invention.

[0030] Industrial waste gas refers to the general term for various pollutant-containing gases discharged into the air generated during fuel combustion and production processes in enterprise factory areas; these waste gases include: carbon dioxide, carbon disulfide, hydrogen sulfide, fluorides, nitrogen oxides, chlorine, hydrogen chloride; when discharged into the atmosphere, they will pollute the air; these substances enter the human body through the respiratory tract in different ways, some directly cause harm, and some have an accumulation effect, which will more seriously harm human health; different substances will have different effects.

[0031] Industrial waste gas treatment refers to the work of specifically pre-treating the waste gas generated in industrial sites such as factories and workshops before discharging it externally to meet the external discharge standards of the waste gas.

[0032] Example 1: As Figure 1 shown, an on-line monitoring method for waste gas emission concentration based on artificial intelligence includes the following steps:

[0033] Step 1: Conduct an operation test on the waste gas emission system: Generate a test cycle, mark the complete process of the waste gas discharged by the waste gas emission system during the test cycle as the emission process, and obtain the waste gas sequence of the pipeline before the start of the emission process: Mark the waste gas type as type i, i = 1, 2,..., n, where n is a positive integer, and type i includes: carbon dioxide, carbon disulfide, hydrogen sulfide, fluorides, nitrogen oxides, chlorine, hydrogen chloride; obtain the concentration value of type i in the pipeline before the start of the emission process and mark it as the pre-discharge concentration PQi, retrieve the highest concentration threshold GNi of type i in the emission standard, mark the ratio of the pre-discharge concentration PQi to the highest concentration threshold GNi as the basic value JCi of type i, and arrange type i in descending order of the basic value JCi to obtain the waste gas sequence of the pipeline; then randomly select a power value from the range of the fan output power as the conveying value of the emission process, set the output power of the fan to the conveying value, and obtain the average value of the concentration value of type i at the emission port at the end of the emission process and mark it as the post-discharge concentration PHi;

[0034] Step 2: Process and analyze the operation test data of the waste gas emission system: Obtain the purification coefficient JH of the emission process through the formula where Ki is the proportionality coefficient of type i, and the calculation formula of Ki is: , after the test cycle, execute Step 3;

[0035] Step 3: Optimize and analyze the exhaust gas emission system: Mark the emission processes with the same exhaust gas sequence as the matching processes of the exhaust gas sequence, mark the matching process with the largest purification coefficient JH value in the same exhaust gas sequence as the optimization process of the exhaust gas sequence, and mark the conveying value of the optimization process as the conveying priority value of the exhaust gas sequence; Send the conveying priority values of all exhaust gas sequences to the database for storage; Statistically analyze the exhaust gas sequence before the start of the emission process, and then analyze the purification effect based on the concentration value of the exhaust gas type at the emission port to generate the conveying priority value of the exhaust gas sequence, providing data support for the optimized control of the exhaust gas emission system.

[0036] Step 4: Operate and control the exhaust gas emission system: Generate a monitoring period, mark the complete process of the exhaust gas emission processed by the exhaust gas emission system within the monitoring period as the monitoring process, obtain the exhaust gas sequence of the pipeline before the start of the monitoring process and mark it as the monitoring sequence, retrieve the conveying priority value of the exhaust gas sequence that is exactly the same as the monitoring sequence and mark it as the monitoring priority value, and set the output power of the fan to the monitoring priority value for exhaust gas emission treatment;

[0037] Step 5: Dynamically adjust the fan parameters of the exhaust gas emission system: Set several monitoring time points during the monitoring process, obtain the exhaust gas sequence of the pipeline at the monitoring time point and mark it as the instant sequence, retrieve the conveying priority value of the exhaust gas sequence that is exactly the same as the instant sequence and mark it as the instant priority value, and determine whether the fan output power is equal to the instant priority value: If so, determine that the fan parameters do not need to be adjusted, and mark the current monitoring time point as the continuation time point; If not, determine that the fan parameters need to be adjusted, mark the current monitoring time point as the switching time point, and at the same time set the fan output power to the instant priority value; Combine the conveying priority value of the exhaust gas sequence with the monitoring sequence of the monitoring process to set the output power of the fan, so that the operating parameters of the exhaust gas emission system can correspond to the exhaust gas composition, and realize the full-process optimized control of the exhaust gas emission in combination with the dynamic adjustment process.

[0038] Step 6: Monitor the exhaust gas purification effect of the exhaust gas emission system: Collect the concentration value of type i at the emission port at the monitoring time point and mark the collected concentration value as the instant degree JSi, through the formula Obtain the effectiveness coefficient XG at the monitoring time point. Retrieve the effectiveness threshold XGmin from the database and compare the effectiveness coefficient XG at the monitoring time point with the effectiveness threshold XGmin: If the effectiveness coefficient XG is less than the effectiveness threshold XGmin, it is determined that the exhaust gas purification effect of the exhaust gas emission system at the current monitoring time point does not meet the requirements. If the current monitoring time point is marked as a continuous time point, a fault analysis is performed and step seven is executed; if the current monitoring time point is marked as a switching time point, no processing is done; if the effectiveness coefficient XG is greater than or equal to the effectiveness threshold XGmin, it is determined that the exhaust gas purification effect of the exhaust gas emission system at the current monitoring time point meets the requirements;

[0039] Step seven: Conduct a fault investigation and analysis of the exhaust gas emission system: At the monitoring time point, collect the concentration value of type i in the pipeline and mark the collected concentration value as the exceeded standard value CBi. Through the formula Obtain the saturation coefficient BH at the monitoring time point. Retrieve the saturation threshold BHmax from the database and compare the saturation coefficient BH with the saturation threshold BHmax: If the saturation coefficient BH is less than the saturation threshold BHmax, it is determined that the exhaust gas does not exceed the processing capacity of the exhaust gas emission system, generate a purification investigation signal and send the purification investigation signal to the mobile terminal of the management personnel. After receiving the purification investigation signal, the management personnel conduct an abnormal investigation of the purification mechanism of the exhaust gas emission system; if the saturation coefficient BH is greater than or equal to the saturation threshold BHmax, it is determined that the exhaust gas exceeds the processing capacity of the exhaust gas emission system, generate a system optimization signal and send the system optimization signal to the mobile terminal of the management personnel. After receiving the system optimization signal, the management personnel perform a process optimization treatment on the purification mechanism or add a pretreatment mechanism to the exhaust gas emission system; conduct an operation monitoring of the exhaust gas purification effect of the exhaust gas emission system to achieve timely alarm when the purification effect is abnormal, improve the timeliness of fault handling, and at the same time improve the fault handling efficiency in combination with the fault investigation and analysis process to ensure the normal operation of the exhaust gas emission system.

[0040] Example two: As Figure 2 shown, the on-line monitoring system for exhaust gas emission concentration based on artificial intelligence includes a test subsystem, a monitoring subsystem, and a database. The test subsystem includes an operation test module, a test processing module, and an optimization analysis module; the monitoring subsystem includes an operation control module, a dynamic adjustment module, an operation monitoring module, and a fault investigation module.

[0041] The operation test module is used to conduct an operation test on the exhaust gas emission system;

[0042] The test processing module is used to process and analyze the operation test data of the exhaust gas emission system;

[0043] The optimization analysis module is used to conduct an optimization analysis on the exhaust gas emission system;

[0044] The operation control module is used to control the operation of the exhaust gas emission system;

[0045] The dynamic adjustment module is used to dynamically adjust the fan parameters of the exhaust gas emission system;

[0046] The operation monitoring module is used to monitor the exhaust gas purification effect of the exhaust gas emission system during operation;

[0047] The fault troubleshooting module is used to troubleshoot and analyze the faults of the exhaust gas emission system.

[0048] An online monitoring method for exhaust gas emission concentration based on artificial intelligence. During operation, a test cycle is generated, and the complete process of the exhaust gas emission processed by the exhaust gas emission system within the test cycle is marked as the emission process. Before the start of the emission process, the exhaust gas sequence of the pipeline is obtained; the emission processes with the same exhaust gas sequence are marked as the matching process of the exhaust gas sequence, the matching process with the largest purification coefficient JH value in the same exhaust gas sequence is marked as the optimization process of the exhaust gas sequence, and the delivery value of the optimization process is marked as the delivery priority value of the exhaust gas sequence; the delivery priority values of all exhaust gas sequences are sent to the database for storage; a monitoring cycle is generated, and the complete process of the exhaust gas emission processed by the exhaust gas emission system within the monitoring cycle is marked as the monitoring process. Before the start of the monitoring process, the exhaust gas sequence of the pipeline is obtained and marked as the monitoring sequence. The delivery priority value of the exhaust gas sequence that is exactly the same as the monitoring sequence is retrieved and marked as the monitoring priority value, and the output power of the fan is set to the monitoring priority value for exhaust gas emission treatment.

[0049] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this 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 claims, they should all fall within the protection scope of the present invention.

[0050] In the description of this specification, the description with reference 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.

[0051] 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 embodiments. Obviously, according to the content of this specification, many modifications and variations can be made. This specification selects and specifically describes these embodiments 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. The online monitoring method of exhaust gas emission concentration based on artificial intelligence is characterized by: The following steps are involved: Step 1: Perform an operation test on the exhaust gas emission system: generate a test cycle, mark the complete process of exhaust gas emission handled by the exhaust gas emission system within the test cycle as the emission process, mark the exhaust gas type as type i, i=1, 2, ..., n, n is a positive integer, and obtain the exhaust gas sequence of the pipeline before the emission process starts; then randomly select a power value from the fan output power range as the delivery value of the emission process, set the fan output power to the delivery value, and obtain the average concentration value of type i at the emission port at the end of the emission process and mark it as the post-emission degree PHi; Step 2: Process and analyze the operation test data of the exhaust emission system, and execute step 3 after the test cycle; Step 3: Optimize and analyze the exhaust gas emission system and obtain the transmission priority value of the exhaust gas sequence; send the transmission priority values ​​of all exhaust gas sequences to the database for storage; Step 4: Control the operation of the exhaust gas emission system: Generate a monitoring cycle, mark the complete process of exhaust gas emission treated by the exhaust gas emission system within the monitoring cycle as the monitoring process, obtain the exhaust gas sequence of the pipeline before the start of the monitoring process and mark it as the monitoring sequence, retrieve the transmission priority value of the exhaust gas sequence that is exactly the same as the monitoring sequence and mark it as the monitoring priority value, set the output power of the fan to the monitoring priority value to perform exhaust gas emission treatment; Step 5: Dynamically adjust the fan parameters of the exhaust gas emission system; Step 6: Conduct operation monitoring on the exhaust gas purification effect of the exhaust gas emission system; Step 7: Troubleshoot and analyze the exhaust emission system.

2. The method for online monitoring of exhaust gas emission concentration based on artificial intelligence according to claim 1 is characterized in that: In step one, the process of acquiring the exhaust gas sequence includes: acquiring the concentration value of type i in the pipeline before the emission process begins and marking it as the pre-emission degree PQi, retrieving the highest concentration threshold GNi of type i in the emission standard, marking the ratio of the pre-emission degree PQi to the highest concentration threshold GNi as the basic value JCi of type i, and arranging type i in descending order according to the basic value JCi to obtain the exhaust gas sequence of the pipeline.

3. The method for online monitoring of exhaust gas emission concentration based on artificial intelligence according to claim 2 is characterized in that: In step 2, the specific process of processing and analyzing the operating test data of the exhaust emission system includes: The purification coefficient JH of the emission process is obtained, where Ki is the proportional coefficient of type i, and the calculation formula of Ki is: .

4. The method for online monitoring of exhaust gas emission concentration based on artificial intelligence according to claim 3 is characterized in that: In step three, the process of obtaining the delivery priority value of the exhaust gas sequence includes: marking the emission process with the same exhaust gas sequence as the matching process of the exhaust gas sequence, marking the matching process with the largest purification coefficient JH value in the same exhaust gas sequence as the optimization process of the exhaust gas sequence, and marking the delivery value of the optimization process as the delivery priority value of the exhaust gas sequence.

5. The method for online monitoring of exhaust gas emission concentration based on artificial intelligence according to claim 4 is characterized in that: In step five, the specific process of dynamically adjusting the fan parameters of the exhaust gas emission system includes: setting a number of monitoring time points during the monitoring process, obtaining the exhaust gas sequence of the pipeline at the monitoring time point and marking it as an immediate sequence, retrieving the delivery priority value of the exhaust gas sequence that is exactly the same as the immediate sequence and marking it as an immediate priority value, and determining whether the fan output power is equal to the immediate priority value: if so, determining that the fan parameters do not need to be adjusted, and marking the current monitoring time point as a continuation time point; if not, determining that the fan parameters need to be adjusted, marking the current monitoring time point as a switching time point, and setting the fan output power to the immediate priority value.

6. The method for online monitoring of exhaust gas emission concentration based on artificial intelligence according to claim 5 is characterized in that: In step 6, the specific process of operating the exhaust gas purification effect of the exhaust gas emission system includes: collecting the concentration value of type i at the emission port at the monitoring time point and marking the collected concentration value as the instantaneous degree JSi, and using the formula The effect coefficient XG at the monitoring time point is obtained, the effect threshold XGmin is retrieved through the database, and the effect coefficient XG at the monitoring time point is compared with the effect threshold XGmin: if the effect coefficient XG is less than the effect threshold XGmin, it is determined that the exhaust gas purification effect of the exhaust gas emission system at the current monitoring time point does not meet the requirements; if the current monitoring time point is marked as a continuation time point, a fault analysis is performed and step seven is executed; if the current monitoring time point is marked as a switching time point, no processing is performed; if the effect coefficient XG is greater than or equal to the effect threshold XGmin, it is determined that the exhaust gas purification effect of the exhaust gas emission system at the current monitoring time point meets the requirements.

7. The method for online monitoring of exhaust gas emission concentration based on artificial intelligence according to claim 6 is characterized in that: In step 7, the specific process of troubleshooting and analyzing the exhaust gas emission system includes: collecting the concentration value of type i in the pipeline at the monitoring time point and marking the collected concentration value as the excess value CBi, and using the formula The saturation coefficient BH at the monitoring time point is obtained, the saturation threshold BHmax is obtained through the database, and the saturation coefficient BH is compared with the saturation threshold BHmax: if the saturation coefficient BH is less than the saturation threshold BHmax, it is determined that the exhaust gas does not exceed the processing capacity of the exhaust gas emission system, and a purification troubleshooting signal is generated and sent to the mobile phone terminal of the manager. After receiving the purification troubleshooting signal, the manager conducts an abnormality troubleshooting on the purification mechanism of the exhaust gas emission system; if the saturation coefficient BH is greater than or equal to the saturation threshold BHmax, it is determined that the exhaust gas exceeds the processing capacity of the exhaust gas emission system, and a system optimization signal is generated and sent to the mobile phone terminal of the manager. After receiving the system optimization signal, the manager performs process optimization processing on the purification mechanism or adds a pretreatment mechanism in the exhaust gas emission system.

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