A dimethyl carbonate exhaust gas incineration gas emission monitoring system

Abstract

The application discloses a dimethyl carbonate waste gas incineration gas emission supervision system and relates to the field of gas emission. The system can realize terminal result monitoring and cannot realize full-process emission supervision in dimethyl carbonate waste gas incineration emission supervision. The system can accurately distinguish pipe network load increase, stable load dynamic working conditions, complete incineration equipment non-lagging and lagging stage segmentation, determine incineration high and low lagging working conditions by combining lagging trend length proportion and lagging speed parameters, accurately identify incineration matching efficiency, execution efficiency and equipment adaptation performance by combining the dynamic switching combination relationship of pipe network working conditions and incineration equipment working conditions, and output four types of regulation and control instructions, namely, incineration process adjustment, equipment hardware maintenance, air inlet intensity adjustment and intelligent monitoring regulation and control.

Description

Technical Field

[0001] This invention relates to the field of gas emission technology, specifically a dimethyl carbonate waste gas incineration gas emission monitoring system. Background Technology

[0002] The production of dimethyl carbonate (DMC) continuously generates process waste gas containing esters and volatile organic compounds. This type of waste gas has complex composition, large concentration fluctuations, and unstable inlet flow rate. It is characterized by being flammable and explosive, and requires high treatment precision. Currently, the mainstream treatment method in the industry is high-temperature incineration, which is also the core process to ensure that DMC production waste gas meets emission standards. However, conventional DMC waste gas incineration emission supervision can only achieve terminal result monitoring and cannot monitor the entire process emission, resulting in the lack of a linkage and matching analysis mechanism.

[0003] To address the aforementioned technical deficiencies, a dimethyl carbonate (DMC) waste gas incineration emission monitoring system is proposed. This system uses DMC production waste gas as the monitoring target for incineration and constructs a fully closed-loop intelligent monitoring system encompassing "pipeline front-end operating condition monitoring - incineration equipment lag identification - operating condition linkage matching - dynamic control and maintenance". Summary of the Invention

[0004] The purpose of this invention is to solve the problems mentioned above by providing a dimethyl carbonate waste gas incineration gas emission monitoring system.

[0005] The objective of this invention can be achieved through the following technical solution: a dimethyl carbonate waste gas incineration gas emission monitoring system, including an emission monitoring platform, and the emission monitoring platform is communicatively connected to an intake pipeline detection unit, an incineration equipment lag identification unit, and an emission efficiency monitoring unit.

[0006] The dimethyl carbonate waste gas was marked as a gas to be incinerated.

[0007] The intake network detection unit is used to perform load increase analysis: if the frequency of load increase exceeds the threshold or the amount of interval shortening exceeds the threshold, it is determined to be a load increase condition; otherwise, it is determined to be a stable load condition.

[0008] The lag identification unit of the incineration equipment is used to fit the response lag time corresponding to the initial furnace temperature and the feed increment, and to divide the lag stage into no lag stage and lag stage, as well as the lag increase trend and lag stability trend. If the increase in the proportion of lag time or the increase rate of the lag stage exceeds the threshold, it is determined to be a high lag condition of incineration; otherwise, it is determined to be a low lag condition of incineration.

[0009] The emission efficiency monitoring unit is used to identify the emission efficiency in real time based on the combination of pipeline operating conditions and incineration equipment operating conditions, and generate corresponding incineration process adjustment signals, incineration equipment maintenance signals, intake intensity adjustment signals, or regulation monitoring signals.

[0010] Preferably, the intake pipeline network detection unit collects the instantaneous flow rate, concentration gradient, and pressure fluctuation values ​​of the exhaust gas in real time, and marks any increase in any value as an increase in pipeline load, with the corresponding time being the time of load increase. Load increase analysis is performed on any time during the combustion stage of the gas to be burned.

[0011] As a preferred method, during load increase analysis, the cumulative frequency of load increase times prior to the current time is collected, and the cumulative value of the shortening of the pipeline load increase interval is obtained. The pipeline load increase interval is the sum of the increase interval corresponding to the three values ​​of instantaneous exhaust gas flow rate, concentration gradient, and pressure fluctuation.

[0012] Preferably, the incineration equipment lag identification unit fits the temperature response lag time and air distribution response lag time corresponding to different initial furnace temperatures and different feed increments according to the operation process of the incineration equipment, and sets the initial input parameter group according to the initial furnace temperature and feed increment, and constructs the furnace temperature range and increment range.

[0013] As a preferred approach, the temperature response lag time and the air distribution response lag time are determined, and the furnace temperature range and incremental range are segmented according to the changes in the lag time. Specifically, they are divided into a lag-free stage and a lag-within-lag stage. Based on the changes in the lag stage type, the fluctuation trend of the corresponding values ​​of the furnace temperature range and incremental range is traced, and they are divided into a lag increase trend and a lag stability trend.

[0014] Preferably, the emission efficiency monitoring unit records the progress of pipeline network operation, i.e., the alternation between load increase and stable load operation, and also records the progress of incineration equipment operation.

[0015] Preferably, if the load condition changes to the steady load condition, and the high lag condition changes to the low lag condition, then the current incineration matching efficiency is qualified; if the load condition changes to the steady load condition, and the low lag condition changes to the high lag condition, then the current incineration execution efficiency is abnormal, and an incineration equipment maintenance signal is generated and sent to the emission monitoring platform. After receiving the signal, the emission monitoring platform performs hardware maintenance on the incineration equipment.

[0016] Furthermore, if the set parameters of the current emission gas exceed the specified range when the incineration matching efficiency is qualified, the gas type analysis of the pipeline input is performed, an incineration process adjustment signal is generated and sent to the emission monitoring platform. After receiving the signal, the emission monitoring platform adjusts the current intake gas type or concentration to match the gas handling capacity of the current incineration equipment.

[0017] Preferably, if the stable load condition changes to the increased load condition, or the high lag condition changes to the low lag condition, the current incineration equipment performance is highly adapted, generating an intake intensity adjustment signal and adjusting the intake volume according to the current incineration task requirements of the gas to be incinerated, thereby accelerating the incineration process; if the stable load condition changes to the increased load condition, or the low lag condition changes to the high lag condition, the current incineration equipment performance adaptation efficiency decreases, generating an adjustment monitoring signal and sending it to the emission supervision platform.

[0018] As a preferred option, after receiving the adjustment and monitoring signal, the emission monitoring platform controls the current intake air volume and continuously monitors the treatment efficiency of the incineration equipment. The treatment efficiency is based on the value comparison of the emission gas set parameter indicators. When the treatment efficiency reaches the set requirement, the current controlled intake air volume is used as the set value for the current stage.

[0019] Compared with the prior art, the beneficial effects of the present invention are:

[0020] 1. Breaking through the limitations of traditional single-point, steady-state, and low-frequency monitoring of waste gas pipeline networks, high-frequency flow, concentration, and pressure sensors are deployed at key nodes before and after the DMC waste gas transportation chain, namely branch waste gas pipes, main waste gas pipes, and buffer tanks. This enables full coverage and real-time acquisition of multi-dimensional parameters such as instantaneous flow rate, concentration gradient, and pressure fluctuations of waste gas, fully capturing the dynamic fluctuation characteristics of DMC waste gas. This addresses the shortcomings of traditional monitoring in identifying instantaneous load changes in the pipeline network, providing real-time and accurate feedback on the dynamic operating status of the DMC waste gas transportation pipeline network. This provides accurate and comprehensive front-end operating data support for subsequent incineration equipment condition identification and incineration efficiency matching analysis, avoiding untimely incineration process control due to lag in pipeline load monitoring and judgment errors. It ensures the stability of incineration treatment from the source of waste gas transportation, reduces the impact of pipeline load fluctuations on the incineration system, and provides basic data support and pre-judgment capability for full-process supervision.

[0021] 2. To address the inherent industry challenge of lag in temperature and air distribution adjustment response of incineration equipment under dynamic changes in DMC exhaust gas load, a lag characteristic fitting model based on initial furnace temperature and feed increment is established. This model accurately fits the temperature response lag time and air distribution response lag time of incineration equipment under different operating parameters, overcoming the limitation of traditional technology in being unable to quantify the lag characteristics of incineration equipment, and realizing refined hierarchical analysis of the lag state of incineration equipment.

[0022] Meanwhile, by using dual thresholds to determine the increase in the proportion of lag trend duration and the increase rate of lag stage, the unit can accurately identify high-lag and low-lag conditions of incineration. This unit can quantify the dynamic operational defects of the incineration equipment, realize the early identification and prediction of equipment lag faults, and avoid problems such as incomplete combustion of DMC waste gas, organic residue, and excessive waste gas emissions caused by long-term high-lag operation of the equipment. It provides accurate equipment condition basis for equipment maintenance and process parameter optimization, and improves the operational stability of the incineration equipment and the reliability of waste gas treatment.

[0023] 3. Construct a linkage and matching analysis mechanism between pipeline network operating conditions and incineration equipment operating conditions, breaking the technical barrier of independent and non-linked analysis between pipeline network monitoring and equipment operation monitoring in the traditional regulatory system. By recording the dynamic switching process of the two types of operating conditions, establish a multi-dimensional operating condition switching combination judgment logic to achieve accurate classification and judgment of incineration matching efficiency, execution efficiency, and equipment adaptability performance.

[0024] For different operating condition switching combinations, targeted and differentiated control commands can be output: for emission parameter exceeding the standard, the incineration process is automatically adjusted to adapt to the equipment's processing capacity; for abnormal equipment efficiency, hardware maintenance signals are proactively pushed to achieve early repair of equipment failures; for equipment in high adaptability state, the intake air intensity is intelligently increased to improve exhaust gas treatment efficiency; for adaptability efficiency decline, the intake air volume is dynamically controlled and continuously monitored to ensure stable treatment efficiency. Attached Figure Description

[0025] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0026] Figure 1 This is a system principle block diagram of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0029] Please see Figure 1 As shown, a dimethyl carbonate waste gas incineration gas emission monitoring system includes an emission monitoring platform, which is communicatively connected to an intake pipe network detection unit, an incineration equipment lag identification unit, and an emission efficiency monitoring unit, marking the dimethyl carbonate waste gas as a gas to be incinerated.

[0030] The emission monitoring platform generates an intake network detection signal and sends it to the intake network detection unit.

[0031] After receiving the intake pipeline detection signal, the intake pipeline detection unit detects the intake pipeline corresponding to the dimethyl carbonate exhaust gas and performs real-time operating condition evaluation based on the detection results.

[0032] High-frequency flow, concentration, and pressure sensors are installed before and after each branch exhaust pipe, main exhaust pipe, and buffer tank in the DMC workshop to collect real-time values ​​of instantaneous exhaust flow, concentration gradient, and pressure fluctuation.

[0033] Any increase in the instantaneous flow rate, concentration gradient, and pressure fluctuation values ​​of the exhaust gas is uniformly marked as an increase in pipeline load, and the corresponding time is the time of load increase. Load increase analysis is performed on any time during the combustion stage of the gas to be burned.

[0034] When analyzing load increases, the cumulative frequency of load increases before the current time is collected, and the cumulative value of the shortening of the interval between load increases in the pipeline network is also obtained. The interval between load increases in the pipeline network is the sum of the intervals corresponding to the three values ​​of instantaneous flow rate of exhaust gas, concentration gradient, and pressure fluctuation.

[0035] If the cumulative frequency of load increase times before the current time exceeds the cumulative frequency threshold, or the cumulative value of the shortened interval of load increase in the pipeline network exceeds the shortening threshold, then the current pipeline network operating condition will be set to load increase operating condition.

[0036] If the cumulative frequency of load increase times before the current time does not exceed the cumulative frequency threshold, and the cumulative value of the shortening of the interval between load increases in the pipeline network does not exceed the shortening threshold, then the current pipeline network operating condition is set to stable load operating condition.

[0037] Send all operating conditions and corresponding times to the emissions monitoring platform;

[0038] The emission monitoring platform generates a lag identification signal for incineration equipment and sends it to the lag identification unit for incineration equipment;

[0039] After receiving the incineration equipment lag identification signal, the incineration equipment lag identification unit performs lag identification on the incineration equipment of the gas to be incinerated.

[0040] Based on the operation process of the incineration equipment, the temperature response lag time and air distribution response lag time corresponding to different initial furnace temperatures and different feed increments are fitted. The initial input parameter group is set according to the initial furnace temperature and feed increment, and the furnace temperature range and increment range are constructed.

[0041] Determine the temperature response lag time and the air distribution response lag time, and divide the furnace temperature range and incremental range into segments based on the changes in duration. Specifically, divide them into no-lag stage and lag stage. Based on the changes in the lag stage type, trace the corresponding value fluctuation trend of the furnace temperature range and incremental range, and divide them into lag increase trend and lag stability trend.

[0042] The initial input parameter set and lag stage type of the current incineration equipment are analyzed to complete the current incineration equipment operating condition analysis;

[0043] If the increase in the proportion of the duration of the lag increase trend and the lag stability trend of the parameters in the initial input parameter group of the current incineration equipment exceeds the proportion increase threshold, or if the increase rate of the lag phase during the operation of the current incineration equipment exceeds the set increase rate threshold, then the current incineration equipment will be marked as a high lag condition.

[0044] If the increase in the proportion of the duration of the lag increase trend and the lag stability trend of the parameters in the initial input parameter group of the current incineration equipment does not exceed the proportion increase threshold, and the increase rate of the lag phase during the operation of the current incineration equipment does not exceed the set increase rate threshold, then the current incineration equipment will be marked as a low lag incineration condition.

[0045] After determining the operating conditions of the pipeline network and the incineration equipment, the emission monitoring platform generates an emission efficiency monitoring signal and sends it to the emission efficiency monitoring unit.

[0046] After receiving the emission efficiency monitoring signal, the emission efficiency monitoring unit performs real-time emission efficiency identification and monitoring based on a comparison of the current pipeline network operating conditions and the incineration equipment operating conditions.

[0047] Record the process of pipeline network operation, namely the alternation between load increase and load stability, and record the process of combustion equipment operation, namely the combustion high lag and combustion low lag.

[0048] If the load condition changes to the steady load condition, or the high lag condition changes to the low lag condition, then the current incineration matching efficiency is qualified. If the current emission gas set parameters exceed the range, then the pipeline input gas type analysis is performed, an incineration process adjustment signal is generated and sent to the emission monitoring platform. After receiving the signal, the emission monitoring platform adjusts the current intake gas type or concentration to match the gas handling capacity of the current incineration equipment.

[0049] If the increased load condition changes to the stable load condition, or the low lag condition changes to the high lag condition, then the current incineration efficiency is abnormal, generating an incineration equipment maintenance signal and sending it to the emission monitoring platform. After receiving the signal, the emission monitoring platform performs hardware maintenance on the incineration equipment.

[0050] If the stable load condition changes to the increased load condition, or the high lag condition changes to the low lag condition, then the current performance of the incineration equipment is highly adapted, generating an intake intensity adjustment signal and sending it to the emission monitoring platform. After receiving the signal, the emission monitoring platform adjusts the intake volume according to the current incineration task requirements of the gas to be incinerated, thereby accelerating the incineration process.

[0051] If the steady load condition changes to the increased load condition, or the low-high lag condition changes to the high lag condition, the current performance adaptation efficiency of the incineration equipment will decrease. An adjustment monitoring signal will be generated and sent to the emission monitoring platform. After receiving the signal, the emission monitoring platform will control the current intake air volume and continuously monitor the processing efficiency of the incineration equipment. The processing efficiency is based on the value of the emission gas set parameter index. When the processing efficiency reaches the set requirement, the current controlled intake air volume will be used as the set value for the current stage.

[0052] It should be explained that the origin of the thresholds involved in the scheme is as follows:

[0053] Cumulative frequency threshold: This threshold is the core parameter for the intake pipeline network detection unit to determine the pipeline network under load conditions. It is obtained by combining long-term field operating condition big data statistics with safety operation standard calibration.

[0054] First, historical frequency data on the increase in flow rate, concentration, and pressure load of the waste gas pipeline network were collected under different production capacities and production periods in the DMC production workshop. The maximum frequency of pipeline network load increase per unit time under normal stable load production conditions was statistically analyzed. Then, combined with pipeline network safety operation specifications, waste gas transmission buffer limits, and the incineration equipment's ability to withstand sudden load changes, invalid data with occasional instantaneous fluctuations were eliminated. Through big data mean fitting and safety redundancy correction, the critical frequency value was determined and finally calibrated as the cumulative occurrence frequency threshold. This threshold represents the maximum allowable load fluctuation frequency of the pipeline network under stable load operation. If this frequency is exceeded, the pipeline network load is judged to be fluctuating frequently, entering an abnormal load increase condition.

[0055] Shortening threshold (threshold for shortening the interval of pipeline load increase): This threshold is used to quantify the intensity of pipeline load fluctuations. It is obtained by fitting operating condition time series data and calibrating load impact tests.

[0056] By collecting load increase interval data of the DMC exhaust gas pipeline network during long-term operation, the standard fluctuation range and cumulative value of normal shortening of the interval under steady-state conditions are calculated. Through multiple pipeline load step-impact tests, the maximum cumulative shortening limit of the interval that the incineration equipment can adapt to is determined. After correction based on exhaust gas accumulation risk and pipeline pressure fluctuation safety threshold, and after removing extreme invalid operating condition data, the critical cumulative shortening of the steady-state condition and the load increase condition is obtained by fitting, which is the shortening threshold. This threshold can accurately distinguish between the steady-state condition with slow fluctuation of pipeline load and the load increase condition with rapid and dense fluctuation of load.

[0057] Threshold for the increase in proportion (threshold for the increase in proportion of lag trend duration): This threshold is the core parameter for determining the lag condition of incineration equipment. It is obtained by fitting the equipment response characteristics and calibrating the incineration efficiency test.

[0058] For incineration equipment operating scenarios with different initial furnace temperatures and different feed increments, the duration proportions of three states—no lag, stable lag, and increasing lag—were statistically analyzed. Through experiments, the increase in the duration proportion of the increasing lag trend and the stable lag trend when the incineration equipment is in an inefficient operation or a critical state of incomplete combustion were measured. Combined with the temperature and air distribution response standards for complete combustion of DMC exhaust gas, and after removing normal equipment debugging and instantaneous fluctuation data, the critical percentage increase values ​​for low-lag and high-lag operating conditions of the equipment were fitted and calibrated as the percentage increase threshold, which is used to determine the degree of lag deterioration of the incineration equipment.

[0059] Set an increase rate threshold (latency stage increase rate threshold): This threshold is used to determine the development rate of latency faults in incineration equipment. It is obtained through equipment aging tests and dynamic response monitoring calibration.

[0060] By conducting multiple sets of feed increment and furnace temperature switching tests on new, semi-aged, and aged incineration equipment, the generation rate change pattern of the equipment in the lag stage is monitored in real time. The maximum increase rate in the lag stage under normal equipment operation and the critical increase rate when the equipment begins to malfunction and its response capability decays are statistically analyzed. Combined with equipment operation and maintenance standards and incineration quality requirements, and after reserving safety redundancy for correction, the critical rate value is determined as the set increase rate threshold, which can accurately identify the rapid deterioration trend of lag faults in incineration equipment.

[0061] Emission gas setting parameters: This indicator is the core judgment benchmark of the emission efficiency monitoring unit, and it is obtained by dual calibration of national environmental protection standards and enterprise internal control standards.

[0062] The basic values ​​strictly follow the legal limits for concentration, particulate matter, and organic residue in dimethyl carbonate waste gas incineration emissions in the "Standard for Control of Unorganized Emissions of Volatile Organic Compounds" and the "Emission Standard for Air Pollutants from Industrial Furnaces and Kilns". At the same time, combined with the actual treatment process and equipment processing capacity of DMC production enterprises, the enterprise internal control parameters are set to be stricter than national and industry standards, which serve as the basis for judging whether the incineration efficiency is qualified or abnormal, so as to ensure that the waste gas emissions are stable and compliant.

[0063] Thresholds for switching between different operating conditions: The efficiency criteria for the four types of switching combinations in the system are all obtained based on full-condition matching tests.

[0064] By simulating all combined operating scenarios of pipeline network stable load / load increase and equipment high lag / low lag, the system continuously monitors the waste gas incineration efficiency, emission parameters, equipment energy consumption, and operational stability data under different operating conditions. It also statistically analyzes the normal, abnormal, and optimal operating boundaries under each operating condition switching state and finally fits and forms a differential operating condition judgment logic threshold to ensure the accuracy and adaptability of control commands under different dynamic operating conditions.

[0065] In summary, this study addresses key pain points in the dimethyl carbonate waste gas incineration treatment industry, such as lagging regulatory technologies, inaccurate operating condition identification, inability to quantify equipment response defects, mismatch between pipeline network and equipment operating conditions, and passive and lagging control and maintenance. It aims to construct a full-chain, dynamic, and interconnected intelligent regulatory system to improve three core technologies and optimize application benefits.

[0066] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A dimethyl carbonate incineration gas emission monitoring system, characterized in that, It includes an emissions monitoring platform, and the emissions monitoring platform is connected to an intake pipeline network detection unit, an incineration equipment lag identification unit, and an emissions efficiency monitoring unit. The dimethyl carbonate waste gas was marked as a gas to be incinerated. The intake network detection unit performs load increase analysis: if the frequency of load increase exceeds the threshold or the amount of interval shortening exceeds the threshold, it is a load increase condition; otherwise, it is a stable load condition. The lag identification unit of the incineration equipment fits the response lag time corresponding to the initial furnace temperature and feed increment, and divides the lag stage into no lag / lag stage and lag increase / stable trend. If the increase in the proportion of lag time or the increase rate of the lag stage exceeds the threshold, it is the high lag condition of incineration; otherwise, it is the low lag condition of incineration. The emission efficiency monitoring unit identifies the emission efficiency in real time based on the combination of pipeline operating conditions and incineration equipment operating conditions, and generates corresponding incineration process adjustment signals, incineration equipment maintenance signals, intake intensity adjustment signals, or regulation monitoring signals.

2. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 1, characterized in that, Real-time acquisition of instantaneous flow rate, concentration gradient, and pressure fluctuation values ​​of exhaust gas; any increase in the instantaneous flow rate, concentration gradient, and pressure fluctuation values ​​of exhaust gas is uniformly marked as an increase in pipeline load, and the corresponding time is the time of load increase; load increase analysis is performed on any time during the combustion stage of the gas to be incinerated.

3. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 2, characterized in that, During load increase analysis, the cumulative frequency of load increase times prior to the current time is collected, and the cumulative value of the shortening of the pipeline load increase interval is also obtained. The pipeline load increase interval is the sum of the increase interval corresponding to three values: instantaneous flow rate of exhaust gas, concentration gradient, and pressure fluctuation.

4. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 1, characterized in that, The incineration equipment lag identification unit fits the temperature response lag time and air distribution response lag time corresponding to different initial furnace temperatures and different feed increments based on the operation process of the incineration equipment. It also sets the initial input parameter group based on the initial furnace temperature and feed increment, and constructs the furnace temperature range and increment range.

5. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 4, characterized in that, The temperature response lag time and the air distribution response lag time are determined. Based on the changes in the lag time, the furnace temperature range and the incremental range are segmented into stages with no lag and stages with lag. Based on the changes in the lag stage type, the fluctuation trend of the corresponding values ​​of the furnace temperature range and the incremental range is traced, and it is divided into lag increase trend and lag stability trend.

6. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 1, characterized in that, The emission efficiency monitoring unit records the progress of pipeline network operation, namely the alternation between load increase and steady load operation, and also records the progress of incineration equipment operation.

7. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 1, characterized in that, If the increased load condition changes to the stable load condition, and the high lag condition changes to the low lag condition, then the current incineration matching efficiency is qualified. If the increased load condition changes to the stable load condition, or the low lag condition changes to the high lag condition, then the current incineration efficiency is abnormal. This generates an incineration equipment maintenance signal and sends it to the emission monitoring platform. Upon receiving the signal, the emission monitoring platform performs hardware maintenance on the incineration equipment.

8. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 7, characterized in that, When the incineration matching efficiency is qualified, if the set parameters of the current emission gas exceed the target range, the gas type analysis of the pipeline input is performed, an incineration process adjustment signal is generated and sent to the emission monitoring platform. After receiving the signal, the emission monitoring platform adjusts the current intake gas type or concentration to match the gas handling capacity of the current incineration equipment.

9. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 1, characterized in that, If the stable load condition is changed to the increased load condition, and the high lag condition is changed to the low lag condition, the performance of the current incineration equipment is highly adapted, generating an intake intensity adjustment signal and adjusting the intake volume according to the current incineration task requirements of the gas to be incinerated, thereby accelerating the incineration process. If the stable load condition changes to the increased load condition, or the low-high lag incineration condition changes to the high-lag incineration condition, the current performance adaptation efficiency of the incineration equipment will decrease, generating an adjustment monitoring signal and sending it to the emission supervision platform.

10. The dimethyl carbonate waste gas incineration gas emission monitoring system according to claim 1, characterized in that, After receiving the adjustment and monitoring signal, the emission monitoring platform controls the current intake air volume and continuously monitors the treatment efficiency of the incineration equipment. The treatment efficiency is based on the value of the emission gas set parameter index. When the treatment efficiency reaches the set requirement, the current controlled intake air volume is used as the set value for the current stage.

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