Carbon emission concentration monitoring method and early warning device

Abstract

The invention relates to the technical field of carbon emission monitoring, and particularly discloses a carbon emission concentration monitoring method and an early warning device.According to the method, the processing compliance degree can be accurately analyzed by obtaining raw material processing process parameters of a target factory, so that the raw material processing process is adjusted in time, unnecessary carbon emission sources are effectively reduced, and the carbon emission quality is improved. A solid foundation is laid for reducing overall carbon emission, waste gas treatment process parameters of a target factory are collected, waste gas treatment efficiency is scientifically evaluated, the waste gas treatment process is optimized and adjusted according to the waste gas treatment process parameters, waste gas purification efficiency is remarkably improved, carbon emission is further reduced, and finally, by monitoring and collecting carbon emission concentration related parameters of the target factory, the carbon emission concentration related parameters of the target factory are monitored and collected. According to the method, the abnormal condition in the carbon emission process can be early warned in real time, measures are taken in time for adjustment, it is ensured that the carbon emission is controlled within a reasonable range, the carbon emission reduction process of a factory is powerfully promoted, and powerful technical support is provided for constructing a low-carbon, environment-friendly and sustainable production mode.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission monitoring, and in particular to a carbon emission concentration monitoring method and an early warning device. Background Art

[0002] As global climate change intensifies, controlling greenhouse gas emissions has become our common responsibility. Monitoring and accounting of greenhouse gas emissions is the basis and prerequisite for achieving carbon reduction, and is also an important basis for carbon market transactions. At present, the monitoring technology and methods of carbon emission concentration are gradually developing and improving, aiming to provide strong data support for global climate governance.

[0003] For example, the invention patent with announcement number CN114384203B announces an online monitoring method and device for carbon emissions of steel enterprises. The method includes a historical daily carbon emissions calculation method based on the material consumption method according to the steel enterprise's fuel combustion, industrial production process, carbon fixation products and net purchased electricity and heat; training an electricity-energy / source / production / heat / carbon relationship model; deducing an hourly carbon emissions online monitoring method based on the electricity consumption method according to the hourly net purchased electricity measured value; a carbon emissions calculation method based on the flue gas concentration method according to the flue gas online monitoring system data; and a carbon emission spill calculation method based on the electricity consumption method and the flue gas concentration method.

[0004] For example, the invention patent with publication number CN115586301A discloses a carbon emission monitoring and alarm system for power production, including: a power plant exhaust gas emission pipe, a power plant CO2 monitoring and early warning component, a post-inspection exhaust gas reflux component, a waste gas sampling and diversion component and a power plant CO2 concentration alarm. The power plant CO2 monitoring and early warning component is connected to the power plant exhaust gas emission pipe, the post-inspection exhaust gas reflux component is connected to the power plant exhaust gas emission pipe and the power plant exhaust gas sampling pipe, the exhaust gas sampling and diversion component is rotatably arranged in the power plant exhaust gas emission pipe to switch between a diversion state for guiding the airflow into the power plant CO2 monitoring and early warning component and a cutoff state for preventing the airflow from entering the power plant CO2 monitoring and early warning component, the power plant CO2 concentration alarm signal is connected to the CO2 concentration early warning detector, and when the detection value of the CO2 concentration early warning detector is greater than the preset value, the power plant CO2 concentration alarm alarm alarms.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: the current carbon emission monitoring technology mostly focuses on the direct analysis of carbon emission results. Although this "result-oriented" monitoring method can provide data on total emissions, it has a significant lag in early warning analysis. Specifically, the monitoring system can only issue an early warning when carbon emissions have occurred and reached a certain threshold, thereby limiting the further improvement of emission reduction effects. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a carbon emission concentration monitoring method and an early warning device, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a carbon emission concentration monitoring method, including: step one, obtaining the raw material processing process parameters of the target factory, analyzing the processing compliance index of the target factory, and comparing it with the processing compliance threshold; if the processing compliance index of the target factory is less than or equal to the processing compliance threshold, adjusting the raw material processing process of the target factory; if the processing compliance index of the target factory is greater than the processing compliance threshold, executing step two; step two, collecting the exhaust gas treatment process parameters of the target factory, and comprehensively analyzing the processing compliance index of the target factory. The index evaluates the waste gas treatment efficiency factor of the target plant and compares it with the waste gas treatment efficiency threshold. If the waste gas treatment efficiency factor of the target plant is less than or equal to the waste gas treatment efficiency threshold, the waste gas treatment process of the target plant is adjusted. If the waste gas treatment efficiency factor of the target plant is greater than the waste gas treatment efficiency threshold, step three is executed; step three, monitor and collect the carbon emission concentration-related parameters of the target plant, determine the carbon emission warning value of the target plant based on the waste gas treatment efficiency factor of the target plant, and make warning adjustments to the carbon emission process of the target plant according to the carbon emission warning value of the target plant.

[0008] As a further method, the raw material processing process of the target factory is adjusted, and the specific adjustment process is: performing difference processing on the processing compliance threshold and the processing compliance index of the target factory, and marking the processing result as the processing compliance index deviation value of the target factory, and according to the processing compliance index deviation value of the target factory, matching and obtaining the raw material processing process adjustment set of the target factory and the first exhaust gas treatment process adjustment set of the target factory from the monitoring database, and adjusting the raw material processing equipment of the target factory according to the raw material processing process adjustment set of the target factory, so that the processing compliance index of the target factory is greater than the processing compliance threshold; at the same time, adjusting the exhaust gas treatment equipment of the target factory according to the first exhaust gas treatment process adjustment set of the target factory, thereby collecting the exhaust gas treatment process parameters of the target factory, and completing the adjustment of the raw material processing process of the target factory.

[0009] As a further method, the waste gas treatment process of the target plant is adjusted, and the specific adjustment process is: difference processing is performed on the waste gas treatment efficiency threshold and the waste gas treatment efficiency factor of the target plant, and the difference processing result is marked as the waste gas treatment efficiency factor deviation value of the target plant. According to the waste gas treatment efficiency factor deviation value of the target plant, the second waste gas treatment process adjustment set of the target plant and the first carbon emission process adjustment set of the target plant are matched from the monitoring database, and the waste gas treatment equipment of the target plant is adjusted according to the second waste gas treatment process adjustment set of the target plant, so that the waste gas treatment efficiency factor of the target plant is greater than the waste gas treatment efficiency threshold; at the same time, the carbon emission facilities of the target plant are adjusted according to the first carbon emission process adjustment set of the target plant, thereby monitoring and collecting the carbon emission concentration-related parameters of the target plant, thereby completing the adjustment of the waste gas treatment process of the target plant.

[0010] As a further method, the carbon emission process of the target factory is early-warning adjusted, and the specific early-warning adjustment process is: comparing the carbon emission early-warning value of the target factory with the carbon emission early-warning threshold; if the carbon emission early-warning value of the target factory is less than or equal to the carbon emission early-warning threshold, then continuously acquiring the raw material processing process parameters of the target factory; if the carbon emission early-warning value of the target factory is greater than the carbon emission early-warning threshold, then according to the carbon emission early-warning value of the target factory, matching a second carbon emission process adjustment set of the target factory from the monitoring database, and performing early-warning adjustment on the carbon emission facilities according to the second carbon emission process adjustment set of the target factory, thereby the carbon emission concentration feedback system completes the early-warning adjustment of the carbon emission of the target factory.

[0011] The second aspect of the present invention provides an early warning device that uses the carbon emission concentration monitoring method as described, characterized in that it includes: a processor and a carbon emission concentration feedback system; the processor is used to sequentially process the raw material processing process parameters of the target factory, the exhaust gas treatment process parameters of the target factory and the carbon emission concentration associated parameters of the target factory, and finally transmit the determined carbon emission early warning value of the target factory to the carbon emission concentration feedback system via the Internet; the carbon emission concentration feedback system is used to receive the carbon emission early warning value of the target factory from the processor, and make early warning adjustments to the carbon emission process of the target factory, and finally complete the carbon emission concentration monitoring.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0013] (1) The present invention provides a carbon emission concentration monitoring method and early warning device. By acquiring the raw material processing process parameters of the target factory, the degree of processing compliance can be accurately analyzed, so as to timely adjust the raw material processing process, effectively reduce unnecessary carbon emission sources, and lay a solid foundation for reducing overall carbon emissions. Furthermore, the waste gas treatment process parameters of the target factory are collected, the waste gas treatment efficiency is scientifically evaluated, and the waste gas treatment process is optimized and adjusted accordingly, which significantly improves the waste gas purification efficiency and further reduces carbon emissions. Finally, by monitoring and collecting the carbon emission concentration-related parameters of the target factory, abnormal conditions in the carbon emission process can be warned in real time, and timely measures can be taken to make adjustments to ensure that carbon emissions are controlled within a reasonable range, which effectively promotes the factory's carbon emission reduction process and provides strong technical support for building a low-carbon, environmentally friendly and sustainable production model.

[0014] (2) The present invention can accurately analyze the main links of a factory's carbon emissions and start from the source of carbon emissions, that is, analyze from the factory's processing process. When processing abnormalities are identified, they are quickly responded to through scientific adjustment strategies, which greatly alleviates the burden of subsequent waste gas treatment in the factory, thereby significantly reducing the factory's carbon emissions.

[0015] (3) The present invention obtains the carbon emission warning value of the target plant by comprehensively analyzing the exhaust gas treatment efficiency factor of the target plant and the carbon emission concentration correlation parameters of the target plant, thereby reducing the one-sidedness of only analyzing the carbon emission results, thereby providing a more comprehensive and accurate carbon emission assessment and ensuring the effectiveness and accuracy of the carbon emission process warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0017] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0018] Figure 2 It is a schematic diagram of the pressure change curve involved in the present invention.

[0019] Reference numerals: 1. Initial point of the curve; 2. Final point of the curve. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1 As shown, the first aspect of the present invention provides a carbon emission concentration monitoring method, including: step one, obtaining the raw material processing process parameters of the target factory, analyzing the processing compliance index of the target factory, and comparing it with the processing compliance threshold; if the processing compliance index of the target factory is less than or equal to the processing compliance threshold, adjusting the raw material processing process of the target factory; if the processing compliance index of the target factory is greater than the processing compliance threshold, executing step two.

[0022] The above processing compliance threshold, which represents the minimum value of the reasonable range of the processing compliance index of the target factory, is extracted from the monitoring database.

[0023] In a specific embodiment, the present invention can accurately analyze the main links of a factory's carbon emissions and start from the source of carbon emissions, that is, analyze from the factory's processing process. When processing abnormalities are identified, they are quickly responded to through scientific adjustment strategies, which greatly alleviates the burden of subsequent waste gas treatment in the factory, thereby significantly reducing the factory's carbon emissions.

[0024] Specifically, the raw material processing process of the target factory is adjusted, and the specific adjustment process is: performing difference processing on the processing compliance threshold value and the processing compliance index of the target factory, and marking the processing result as the processing compliance index deviation value of the target factory, and matching the raw material processing process adjustment set of the target factory and the first exhaust gas treatment process adjustment set of the target factory from the monitoring database according to the processing compliance index deviation value of the target factory, and adjusting the raw material processing equipment of the target factory according to the raw material processing process adjustment set of the target factory, until the processing compliance index of the target factory is greater than the processing compliance threshold value; at the same time, adjusting the exhaust gas treatment equipment of the target factory according to the first exhaust gas treatment process adjustment set of the target factory, thereby collecting the exhaust gas treatment process parameters of the target factory, thereby completing the adjustment of the raw material processing process of the target factory; the monitoring database stores the raw material processing process adjustment set and the first exhaust gas treatment process adjustment set corresponding to each processing compliance index deviation value interval. In an example embodiment, it is assumed that the processing compliance index deviation value of the target factory is , belongs to the processing compliance index deviation value range stored in the monitoring database [ -10%, +25%], processing compliance index deviation value range [ -10%, +25%] The corresponding raw material processing process adjustment set includes: increasing the processing temperature of the processing equipment, gradually increasing by 20 degrees Celsius, increasing the fuel stirring time of the processing equipment, and gradually increasing by 10 minutes; the first exhaust gas treatment process adjustment set includes: increasing the air intake flow of the exhaust gas treatment equipment by 20%, and automatically adding 20 kilograms of chemical reagent A to the exhaust gas treatment equipment; then the raw material processing process adjustment set of the target factory includes: increasing the processing temperature of the processing equipment, gradually increasing by 20 degrees Celsius, increasing the fuel stirring time of the processing equipment, and gradually increasing by 10 minutes; the first exhaust gas treatment process adjustment set of the target factory includes: increasing the air intake flow of the exhaust gas treatment equipment by 20%, and automatically adding 20 kilograms of chemical reagent A to the exhaust gas treatment equipment.

[0025] The above-mentioned adjusting the raw material processing equipment of the target plant according to the raw material processing process adjustment set of the target plant refers to the raw material processing equipment of the target plant receiving and identifying the raw material processing process adjustment set of the target plant, thereby automatically adjusting; the above-mentioned adjusting the exhaust gas treatment equipment of the target plant according to the first exhaust gas treatment process adjustment set of the target plant refers to the exhaust gas treatment equipment of the target plant receiving and identifying the first exhaust gas treatment process adjustment set of the target plant, thereby automatically adjusting.

[0026] It needs to be explained that the raw material processing process adjustment set and the first waste gas treatment process adjustment set are formulated by carbon emission reduction engineers based on the analysis of historical factory production data and historical environmental protection measures. Therefore, through the adjustment of the raw material processing process adjustment set, the processing compliance index of the target factory can be made greater than the processing compliance threshold. At the same time, through the adjustment of the first waste gas treatment process adjustment set, the waste gas generated by the target factory during the processing monitoring cycle can be more effectively treated and purified.

[0027] Furthermore, the processing compliance index of the target factory is analyzed, and the specific analysis process is as follows: the raw material processing process parameters of the target factory include the total chemical fuel consumption mass of the target factory during the processing monitoring period, the average temperature of the processing equipment of the target factory during the processing monitoring period, the average pressure of the processing equipment of the target factory during the processing monitoring period, and the average vibration amplitude of the processing equipment of the target factory during the processing monitoring period; the above-mentioned processing monitoring period refers to the time period for monitoring the raw material processing process of the target factory, and the specific duration is determined by the environmental protection supervision department of the enterprise according to actual conditions; among them, the total chemical fuel consumption mass of the target factory during the processing monitoring period indicates the total mass of various chemical fuels (such as coal and heavy oil, etc.) used by the target factory during the processing monitoring period, which is usually measured in units of mass (such as kilograms and tons, etc.) and extracted from the data recorded by the fuel metering equipment of the target factory; the average temperature of the processing equipment of the target factory during the processing monitoring period indicates that the processing equipment of the target factory is burning fuel during the processing monitoring period. The average value of the temperature maintained during the material processing process is obtained by integrating the real-time temperatures recorded by the built-in temperature sensors of the processing equipment during the processing monitoring period and performing average processing to obtain the average temperature of the processing equipment of the target factory during the processing monitoring period; the average pressure of the processing equipment of the above-mentioned target factory during the processing monitoring period represents the average value of the pressure maintained by the processing equipment of the target factory during the fuel processing process during the processing monitoring period, and the average pressure of the processing equipment of the target factory during the processing monitoring period is obtained by integrating the real-time pressures recorded by the built-in pressure sensors of the processing equipment during the processing monitoring period and performing average processing to obtain the average pressure of the processing equipment of the target factory during the processing monitoring period; the average vibration amplitude of the processing equipment of the above-mentioned target factory during the processing monitoring period refers to the average value of the maximum distance that the processing equipment of the target factory deviates from the equilibrium position during the vibration process during the processing monitoring period, and the maximum displacement of each vibration of the processing equipment during the processing monitoring period is recorded by each displacement sensor belonging to the processing equipment, and the average vibration amplitude of the processing equipment of the target factory during the processing monitoring period is obtained by integrating and performing average processing.

[0028] The total chemical fuel consumption mass of the target factory during the processing monitoring period, the average temperature of the processing equipment of the target factory during the processing monitoring period, the average pressure of the processing equipment of the target factory during the processing monitoring period, and the average vibration amplitude of the processing equipment of the target factory during the processing monitoring period are comprehensively analyzed to obtain the processing compliance index of the target factory. In this embodiment, the processing compliance index of the target factory refers to the numerical value of the processing compliance degree of the processing equipment of the target factory. The specific evaluation method of the processing compliance index of the target factory is:

[0029] In the formula, is the processing compliance index of the target factory, is the total consumption mass of chemical fuels in the target plant during the process monitoring period, is the average temperature of the processing equipment in the target factory during the processing monitoring period, is the average pressure of the processing equipment in the target factory during the processing monitoring period, is the average vibration amplitude of the processing equipment in the target factory during the processing monitoring period, To monitor the reference total consumption mass of chemical fuels preset in the database, To monitor the reference average temperature of the processing equipment preset in the database, To monitor the reference average pressure of the processing equipment preset in the database, It is the reference average vibration amplitude of the processing equipment preset in the monitoring database, and e is a natural constant.

[0030] It needs to be explained that if the total consumption mass of chemical fuel deviates significantly from its reference total consumption mass, this phenomenon directly reveals that the combustion process of chemical fuel is relatively slow, which has an adverse effect on its efficiency in converting into electrical energy. Specifically, this slowdown in the combustion process is accompanied by poor quality performance, that is, incomplete combustion, and the release of heat energy fails to reach the expected level, resulting in the average temperature of the processing equipment during the processing process significantly deviating from the reference average temperature of the processing equipment. This temperature deviation further affects the pressure distribution in the combustion chamber of the processing equipment, causing the reference average pressure of the processing equipment to also significantly deviate from the reference average pressure of the processing equipment. The abnormal temperature deviation will aggravate the insufficiency of combustion, forming a vicious circle. At the same time, the significant deviation of the pressure in the combustion chamber of the processing equipment , which makes the pressure conditions of the processing equipment inconsistent with expectations, thus affecting the stable operation of the processing equipment. Incomplete combustion also leads to uneven flame distribution in the combustion chamber of the processing equipment. This uneven combustion state causes the processing equipment to produce a large vibration amplitude during operation, which is significantly greater than the reference average vibration amplitude, seriously affecting its ability to accurately process chemical fuels. When the above parameters are abnormal, it indicates that there is a compliance risk in the factory's fuel processing process, which may lead to problems such as non-compliance with electricity conversion standards, increased energy consumption and increased environmental pollution. Therefore, in order to optimize the processing process and reduce the emission of toxic substances and carbon emissions, it is necessary to make precise adjustments based on the changes in these parameters in order to achieve a more efficient and environmentally friendly processing process.

[0031] The above-mentioned reference total consumption mass of chemical fuel represents the reference value of the total consumption mass of chemical fuel of the target factory during the processing monitoring period; the above-mentioned reference average temperature of the processing equipment represents the reference value of the average temperature of the processing equipment of the target factory during the processing monitoring period; the above-mentioned reference average pressure of the processing equipment represents the reference value of the average pressure of the processing equipment of the target factory during the processing monitoring period; the above-mentioned reference average vibration amplitude of the processing equipment represents the reference value of the average vibration amplitude of the processing equipment of the target factory during the processing monitoring period. During operation, the internal mechanical parts of the equipment (such as bearings and gears, etc.) will undergo relative movement, which will inevitably cause vibration. Therefore, the reference average vibration amplitude is formulated based on the normal operating status of the equipment. During the actual processing process, the average vibration amplitude of the processing equipment will be greater than or equal to the reference average vibration amplitude.

[0032] Table 1 Changes in the processing compliance index of the target factory and its corresponding parameters

[0033] In this example embodiment, the reference total consumption mass of chemical fuel is set to 13 tons, the reference average temperature of the processing equipment is set to 230 degrees Celsius, the reference average pressure of the processing equipment is set to 1800 kilopascals, and the reference average vibration amplitude of the processing equipment is set to 0.2 mm. It can be seen from Table 1 that when the total consumption mass of chemical fuel significantly deviates from the reference total consumption mass of chemical fuel (10.9 tons in Table 1 significantly deviates from 13 tons), the average temperature of the processing equipment, the average pressure of the processing equipment and the average vibration amplitude of the processing equipment will all significantly deviate from the corresponding reference values ​​(specifically, 210 degrees Celsius significantly deviates from 230 degrees Celsius, 1550 kilopascals significantly deviates from 1800 kilopascals, and 0.45 mm significantly deviates from 0.2 mm), thus collectively indicating that the degree of processing compliance is relatively low, which is specifically manifested in that the processing compliance index is relatively low, specifically 105%.

[0034] Step 2: Collect the waste gas treatment process parameters of the target factory, evaluate the waste gas treatment efficiency factor of the target factory based on the processing compliance index of the target factory, and compare it with the waste gas treatment efficiency threshold. If the waste gas treatment efficiency factor of the target factory is less than or equal to the waste gas treatment efficiency threshold, adjust the waste gas treatment process of the target factory; if the waste gas treatment efficiency factor of the target factory is greater than the waste gas treatment efficiency threshold, execute step 3.

[0035] The above-mentioned exhaust gas treatment efficiency threshold value represents the minimum value of the reasonable range of the exhaust gas treatment efficiency factor of the target plant, which is extracted from the monitoring database.

[0036] In a specific embodiment, the present invention obtains the carbon emission warning value of the target plant by comprehensively analyzing the exhaust gas treatment efficiency factor of the target plant and the carbon emission concentration correlation parameters of the target plant, thereby reducing the one-sidedness of only analyzing the carbon emission results, thereby providing a more comprehensive and accurate carbon emission assessment, and ensuring the effectiveness and accuracy of the carbon emission process warning.

[0037] Specifically, the waste gas treatment process of the target plant is adjusted, and the specific adjustment process is: performing difference processing on the waste gas treatment efficiency threshold and the waste gas treatment efficiency factor of the target plant, and marking the difference processing result as the waste gas treatment efficiency factor deviation value of the target plant, and matching the second waste gas treatment process adjustment set of the target plant and the first carbon emission process adjustment set of the target plant from the monitoring database according to the waste gas treatment efficiency factor deviation value of the target plant, and adjusting the waste gas treatment equipment of the target plant according to the second waste gas treatment process adjustment set of the target plant, adjusting the waste gas treatment efficiency factor of the target plant to be greater than the waste gas treatment efficiency threshold; at the same time, adjusting the carbon emission facilities of the target plant according to the first carbon emission process adjustment set of the target plant, thereby monitoring and collecting the carbon emission concentration-related parameters of the target plant, thereby completing the adjustment of the waste gas treatment process of the target plant; the second waste gas treatment process adjustment set and the first carbon emission process adjustment set of the target plant corresponding to each waste gas treatment efficiency factor deviation value interval are stored in the monitoring database. In an example embodiment, it is assumed that the waste gas treatment efficiency factor deviation value of the target plant is , belongs to the exhaust gas treatment efficiency factor deviation value range stored in the monitoring database [ -30%, +20%], the exhaust gas treatment efficiency factor deviation value range [ -30%, +20%] The corresponding second exhaust gas treatment process adjustment set includes: gradually increasing the treatment temperature of the waste treatment equipment by 40 degrees Celsius, and controlling the temperature of the catalyst in the exhaust gas treatment equipment between 200 degrees Celsius and 350 degrees Celsius; the first carbon emission process adjustment set includes: increasing the wind speed of the fan at the exhaust outlet of the carbon emission facility to twice the current speed, and avoiding the generation of eddy currents or backflows near the exhaust outlet; then the second exhaust gas treatment process adjustment set of the target factory includes: gradually increasing the treatment temperature of the waste treatment equipment by 40 degrees Celsius, and controlling the temperature of the catalyst in the exhaust gas treatment equipment between 200 degrees Celsius and 350 degrees Celsius; the first carbon emission process adjustment set of the target factory includes: increasing the wind speed of the fan at the exhaust outlet of the carbon emission facility to twice the current speed, and avoiding the generation of eddy currents or backflows near the exhaust outlet.

[0038] The above-mentioned adjusting the exhaust gas treatment equipment of the target plant according to the second exhaust gas treatment process adjustment set of the target plant refers to the exhaust gas treatment equipment of the target plant receiving and identifying the second exhaust gas treatment process adjustment set of the target plant, thereby automatically adjusting; the above-mentioned adjusting the carbon emission facilities of the target plant according to the first carbon emission process adjustment set of the target plant refers to the relevant equipment (such as fans) on the carbon emission facilities of the target plant receiving and identifying the first carbon emission process adjustment set of the target plant, thereby automatically adjusting.

[0039] It should be explained that the second exhaust gas treatment process adjustment set and the first carbon emission process adjustment set are formulated by carbon emission reduction engineers based on analysis of historical factory production data and historical environmental protection measures. Therefore, through the adjustment of the second exhaust gas treatment process adjustment set, the exhaust gas treatment efficiency factor of the target factory can be made greater than the exhaust gas treatment efficiency threshold. At the same time, through the adjustment of the first carbon emission process adjustment set, the emission effect of the exhaust gas treated by the exhaust gas treatment equipment within the treatment detection cycle can be improved.

[0040] The first exhaust gas treatment process adjustment set provides adjustment directions for the exhaust gas generated by the target factory during the processing monitoring cycle. After adjustment through the first exhaust gas treatment process adjustment set, the exhaust gas treatment equipment may still lack personalization during actual operation. Therefore, further adjustment is required through the second exhaust gas treatment process adjustment set to ensure that the exhaust gas treatment efficiency factor of the target factory can be adjusted to be greater than the exhaust gas treatment efficiency threshold.

[0041] Specifically, the collection of waste gas treatment process parameters of the target plant refers to the collection of the pressure change curve of the sample waste gas treatment equipment of the target plant during the treatment detection period, the waste gas concentration of the air inlet of the sample waste gas treatment equipment of the target plant at the start time of the treatment detection period, the waste gas concentration of the air outlet of the sample waste gas treatment equipment of the target plant at the end time of the treatment detection period, and the supply rate of various adsorbents of the sample waste gas treatment equipment of the target plant during the treatment detection period; the above-mentioned treatment detection period refers to the time period for detecting the operation of the sample waste gas treatment equipment, and the specific duration is determined by the environmental protection supervision department of the enterprise according to the actual situation; it needs to be explained that the treatment The formulation of the detection cycle can satisfy the requirement that the waste gas treated by the sample waste gas treatment equipment within the treatment detection cycle is generated by the target factory within the processing monitoring cycle; the supply rate of various adsorbents in the sample waste gas treatment equipment belonging to the above-mentioned target factory refers to the mass or volume of various adsorbents (such as activated carbon and molecular sieves, etc.) added to the waste gas treatment equipment per unit time during the waste gas treatment process. The supply mass or volume recorded by the flow meter corresponding to various adsorbents within the treatment detection cycle can be obtained first, and then ratio processing is performed with the duration corresponding to the treatment detection cycle, thereby obtaining the supply rate of various adsorbents in the sample waste gas treatment equipment belonging to the target factory within the treatment detection cycle.

[0042] It should be explained that in the target factory, large-scale processing equipment is equipped with multiple waste gas treatment equipment. In this embodiment, one waste gas treatment equipment is randomly selected as a sample for detailed analysis. Based on the analysis results of the sample, the overall operating status of the remaining waste gas treatment equipment can be inferred.

[0043] Specifically, the exhaust gas treatment efficiency factor of the target plant is evaluated, and the specific evaluation process is as follows:

[0044] The initial position point and the final position point of the curve are located on the pressure change curve of the sample exhaust gas treatment equipment of the target plant during the treatment detection cycle, and the equipment pressure at the initial position point of the curve and the equipment pressure at the final position point of the curve are obtained and data processing is performed, and the processing result is marked as the pressure growth rate of the sample exhaust gas treatment equipment of the target plant during the treatment detection cycle; the pressure change curve of the sample exhaust gas treatment equipment of the target plant during the treatment detection cycle is used to represent the relationship between the internal gas pressure of the sample exhaust gas treatment equipment and time. This curve can intuitively reflect the dynamic change of pressure during the exhaust gas treatment process, and is an important basis for evaluating the operating status of the equipment, diagnosing potential problems and optimizing the treatment process. The pressure data of each pressure sensor of the sample exhaust gas treatment equipment at each treatment detection time point in the treatment detection cycle are averaged to obtain the average pressure at each treatment detection time point, which is marked as the equipment pressure at each treatment detection time point, and the equipment pressure at each treatment detection time point is denoised using graphics processing software (such as Matrix Lab) and drawn into a coherent curve, thereby obtaining the pressure change curve of the sample exhaust gas treatment equipment of the target plant during the treatment detection cycle; in an example embodiment, the pressure change curve is as follows Figure 2 As shown, the horizontal axis is the processing detection time point, the unit is minutes, and the vertical axis is the equipment pressure, the unit is kilopascal, which clearly shows the relationship between the pressure change of the sample exhaust gas treatment equipment during the processing detection period and time. The specific data processing process of the pressure growth rate is: obtain the equipment pressure at the initial position point 1 of the curve and the equipment pressure at the last position point 2 of the curve, perform difference processing on the equipment pressure at the last position point 2 of the curve and the equipment pressure at the initial position point 1 of the curve, perform ratio processing on the difference processing result and the duration corresponding to the processing detection period, and the processing result is the pressure growth rate; the pressure growth rate represents the pressure growth rate of the sample exhaust gas treatment equipment belonging to the target factory during the processing detection period.

[0045] The exhaust gas concentration at the air inlet of the sample exhaust gas treatment equipment of the target plant at the start time of the treatment detection cycle is subjected to difference processing with the exhaust gas concentration at the air outlet of the sample exhaust gas treatment equipment of the target plant at the end time of the treatment detection cycle, and the difference processing result is subjected to ratio processing with the exhaust gas concentration at the air inlet of the sample exhaust gas treatment equipment of the target plant at the start time of the treatment detection cycle, and the ratio processing result is marked as the exhaust gas treatment efficiency of the sample exhaust gas treatment equipment of the target plant within the treatment detection cycle; the exhaust gas concentration at the air inlet of the sample exhaust gas treatment equipment of the target plant at the start time of the treatment detection cycle indicates the exhaust gas efficiency of various exhaust gases (such as volatile organic compounds, sulfur dioxide and nitrogen oxides, etc.) at the air inlet of the sample exhaust gas treatment equipment of the target plant at the start time of the treatment detection cycle. The total concentration, marked as the exhaust gas concentration, can be obtained by extracting the exhaust gas from the air inlet at the starting time of the treatment detection cycle, using a gas analyzer to analyze the concentrations of various exhaust gases contained therein and adding them up, and the accumulated result is marked as the exhaust gas concentration; the exhaust gas concentration at the outlet of the sample exhaust gas treatment equipment belonging to the above-mentioned target factory at the end time of the treatment detection cycle, represents the total concentration of various exhaust gases (such as volatile organic compounds, sulfur dioxide and nitrogen oxides, etc.) at the outlet of the sample exhaust gas treatment equipment belonging to the target factory at the end time of the treatment detection cycle, which can be obtained by extracting the exhaust gas from the air inlet at the end time of the treatment detection cycle, using a gas analyzer to analyze the concentrations of various exhaust gases contained therein and adding them up, and the accumulated result is marked as the exhaust gas concentration at the outlet of the sample exhaust gas treatment equipment belonging to the target factory at the end time of the treatment detection cycle.

[0046] According to the processing compliance index of the target factory, the reference supply rates of various adsorbents in the sample waste gas treatment equipment of the target factory within the processing detection period are matched from the monitoring database; the reference supply rates of various adsorbents in the processing detection period corresponding to the processing compliance index interval of each target factory are stored in the monitoring database. Assuming that the processing compliance index of a target factory is Y, which belongs to the processing compliance index interval [Y-34%, Y+26%], the reference supply rates of various adsorbents in the processing detection period corresponding to the processing compliance index interval [Y-34%, Y+26%] are the reference supply rates of various adsorbents in the sample waste gas treatment equipment of the target factory within the processing detection period.

[0047] The waste gas treatment efficiency factor of the target factory is obtained by comprehensively evaluating the processing compliance index of the target factory, the pressure growth rate of the sample waste gas treatment equipment of the target factory during the treatment detection period, the waste gas treatment efficiency of the sample waste gas treatment equipment of the target factory during the treatment detection period, the reference supply rate of various adsorbents of the sample waste gas treatment equipment of the target factory, and the supply rate of various adsorbents of the sample waste gas treatment equipment of the target factory. In this embodiment, the waste gas treatment efficiency factor of the target factory refers to the numerical value of the efficiency exhibited by the waste gas treatment equipment of the target factory during the waste gas treatment process.

[0048] Furthermore, the exhaust gas treatment efficiency factor of the target plant is specifically evaluated by:

[0049] In the formula, is the exhaust gas treatment efficiency factor of the target plant, is the processing compliance index of the target factory, is the pressure growth rate of the sample exhaust gas treatment equipment of the target factory during the treatment test cycle, is the supply rate of the ath adsorbent of the sample exhaust gas treatment equipment of the target factory during the treatment detection cycle, is the waste gas treatment efficiency of the sample waste gas treatment equipment of the target factory during the treatment test cycle, To monitor the weighting factor corresponding to the processing compliance index preset in the database, The specific gravity factor corresponding to the unit value of the exhaust gas treatment efficiency preset in the monitoring database, Define the growth rate for the pressure, is the reference supply rate of the ath adsorbent of the sample exhaust gas treatment equipment of the target factory during the treatment detection cycle, e is a natural constant, a is the number of various adsorbents, , w is the total number of adsorbent types.

[0050] It needs to be explained that processing compliance is a prerequisite for implementing waste gas treatment, and its compliance level is directly related to the difficulty of waste gas treatment. Specifically, when the processing reaches a higher compliance level, the pollutant content in the waste gas is relatively low and the composition is more stable, which helps the waste gas treatment equipment to more effectively perform its purification function, thereby making the waste gas treatment process smoother and more efficient, and further reducing carbon emissions. Therefore, the processing compliance index of the target factory is integrated into the waste gas treatment efficiency factor of the target factory for comprehensive analysis. In addition, the pressure growth rate of the waste gas treatment equipment reflects the flow state and resistance changes of the waste gas during the treatment process. Its stability directly affects the continuity and efficiency of the waste gas treatment. When the pressure growth rate is abnormally high, it indicates that there are problems such as blockage inside the waste gas treatment equipment, which in turn affects the smooth progress of the waste gas treatment and reduces the waste gas treatment efficiency. At the same time, the supply rate of the adsorbent is an important parameter in the waste gas treatment process, which directly affects the flow state and resistance changes of the waste gas during the treatment process. It is related to the contact frequency and adsorption effect between the adsorbent and the pollutants in the exhaust gas. If the supply rate deviates significantly from the reference supply rate, the contact effect between the pollutants in the exhaust gas and the adsorbent may be reduced, making it impossible to purify the exhaust gas well, and also leading to a decrease in the exhaust gas treatment efficiency. The reduction in exhaust gas treatment efficiency means that more harmful substances cannot be removed. These substances will be converted into greenhouse gases such as carbon dioxide and methane during the emission process and accumulate in the atmosphere, which will aggravate the greenhouse effect and cause carbon emissions to further increase. Therefore, through comprehensive analysis of the above parameters, the bottlenecks and inefficient links in the exhaust gas treatment process can be accurately identified, and then targeted optimization measures can be taken. The implementation of these measures can not only effectively improve the efficiency and stability of exhaust gas treatment, reduce energy consumption and resource waste in the treatment process, but more importantly, it can significantly reduce the content of pollutants discharged into the atmosphere, thereby effectively controlling and reducing carbon emissions, and providing strong support for achieving green production and sustainable development goals.

[0051] The weighting factor corresponding to the above-mentioned processing compliance index represents the proportion of the processing compliance index of the target factory to the waste gas treatment efficiency factor of the target factory. The corresponding relationship between the processing compliance index and its corresponding weighting factor is stored in the monitoring database. For example, by inputting the processing compliance index into the monitoring database, the weighting factor corresponding to the processing compliance index can be obtained.

[0052] The weighting factor corresponding to the above-mentioned unit value of the waste gas treatment efficiency represents the degree of influence of the unit value of the waste gas treatment efficiency on the waste gas treatment efficiency factor of the target factory. The corresponding relationship between the waste gas treatment efficiency and its corresponding weighting factor is stored in the monitoring database. For example, by inputting the waste gas treatment efficiency into the monitoring database, the weighting factor corresponding to the unit value of the waste gas treatment efficiency can be obtained.

[0053] Step 3: Monitor and collect the carbon emission concentration correlation parameters of the target factory, determine the carbon emission warning value of the target factory based on the exhaust gas treatment efficiency factor of the target factory, and make warning adjustments to the carbon emission process of the target factory based on the carbon emission warning value of the target factory.

[0054] Specifically, the carbon emission process of the target factory is early warned and adjusted, and the specific early warning adjustment process is: comparing the carbon emission warning value of the target factory with the carbon emission warning threshold. If the carbon emission warning value of the target factory is less than or equal to the carbon emission warning threshold, the raw material processing process parameters of the target factory are continuously obtained; the above-mentioned carbon emission warning threshold represents the maximum value of a reasonable range of the carbon emission warning value of the target factory, which is extracted from the monitoring database.

[0055] If the carbon emission warning value of the target plant is greater than the carbon emission warning threshold, then according to the carbon emission warning value of the target plant, the second carbon emission process adjustment set of the target plant is matched from the monitoring database, and the carbon emission facilities are adjusted according to the second carbon emission process adjustment set of the target plant, so that the carbon emission concentration feedback system completes the warning adjustment of the carbon emission of the target plant; the second carbon emission process adjustment set corresponding to each carbon emission warning value interval is stored in the monitoring database. In an example embodiment, assuming that the carbon emission warning value of the target plant is , which belongs to the carbon emission warning value range stored in the monitoring database [ -20%, +55%], carbon emission warning value range [ -20%, +55%] The corresponding second carbon emission process adjustment set includes: automatic adjustment part: adjusting the valve opening in the carbon emission facility to 0.8 times the current opening, and reducing the cooling temperature of the cooling equipment in the carbon emission facility by 30 degrees Celsius. Early warning part: indicating that the current early warning level is level three, and showing in detail the proportion of each component in the exhaust gas and the data with large deviations from the reference data stored in the monitoring database during the carbon emission process; the second carbon emission process adjustment set of the target factory includes: automatic adjustment part: adjusting the valve opening in the carbon emission facility to 0.8 times the current opening, and reducing the cooling temperature of the cooling equipment in the carbon emission facility by 30 degrees Celsius. Early warning part: indicating that the current early warning level is level three, and showing in detail the proportion of each component in the exhaust gas and the data with large deviations from the reference data stored in the monitoring database during the carbon emission process.

[0056] The above-mentioned early warning adjustment of the carbon emission facilities according to the second carbon emission process adjustment set of the target plant means that the carbon emission facilities receive and identify the automatic adjustment part instructions of the second carbon emission process adjustment set of the target plant and make automatic adjustments. The early warning part of the second carbon emission process adjustment set of the target plant is displayed in the form of a log to the carbon emission regulators for early warning reminders.

[0057] The first carbon emission process adjustment set provides adjustment directions for the waste gas that has been treated by the waste gas treatment equipment within the treatment detection cycle. After adjustment by the first carbon emission process adjustment set, the actual carbon emission process may still be insufficiently personalized. Therefore, the second carbon emission process adjustment set is required for further adjustment and early warning, so as to effectively solve the carbon emission problem of the target factory.

[0058] It needs to be explained that the adjustment of the raw material processing equipment and the waste gas treatment equipment of the target factory can be fully automated. The basis for the realization of this automated adjustment is that the raw material processing equipment and the waste gas treatment equipment themselves are designed as highly automated systems, which can perform precise and efficient operation adjustments based on preset parameters and logic without human intervention. However, carbon emissions, as the final result of the entire production process, are often more complex and uncertain than the processing capacity of a single automated system. Therefore, adjustments to carbon emission facilities require early warning feedback to humans. Humans can conduct a more detailed and comprehensive analysis of each link in the fuel processing process based on actual conditions, professional knowledge and combined with the early warning content, thereby formulating more effective carbon emission control measures.

[0059] Furthermore, the carbon emission warning value of the target plant is determined, and the specific determination process is as follows:

[0060] The carbon emission concentration associated parameters of the target factory include the temperature value of the carbon emission area to which the target factory belongs at the start time of the emission monitoring cycle, the temperature value of the carbon emission area to which the target factory belongs at the end time of the emission monitoring cycle, and the average carbon emission rate of the target factory during the emission monitoring cycle; the above-mentioned emission monitoring cycle refers to the time period for monitoring the actual carbon emissions of the carbon emission area of ​​the target factory, and the specific duration is determined by the environmental protection supervision department of the enterprise according to actual conditions; it should be explained that the formulation of the emission monitoring cycle can meet the requirement that the exhaust gas discharged from the carbon emission area to which the target factory belongs during the emission monitoring cycle is processed by the exhaust gas treatment equipment during the processing and detection cycle; the above-mentioned average carbon emission rate of the target factory during the emission monitoring cycle represents the average value of the carbon emission rate of the target factory during the emission monitoring cycle, which can be collected by a flow meter The total amount of carbon dioxide emissions in the carbon emission cycle is processed by ratio processing with the duration corresponding to the carbon emission cycle, and the processing result is marked as the average carbon emission rate. It should be explained that in the process of industrial production and energy consumption, the main greenhouse gas emission is carbon dioxide. Therefore, monitoring carbon dioxide emissions can roughly reflect the carbon emissions of a factory.

[0061] The temperature value of the carbon emission area to which the target factory belongs at the end time point of the emission monitoring cycle and the temperature value of the carbon emission area to which the target factory belongs at the start time point of the emission monitoring cycle are difference processed, and the processing result is marked as the temperature growth value of the carbon emission area to which the target factory belongs during the emission monitoring cycle; the temperature value of the carbon emission area to which the target factory belongs at the end time point of the emission monitoring cycle represents the temperature value of the carbon emission area to which the target factory belongs at the end time point of the emission monitoring cycle, which can be collected by the temperature sensor to which the carbon emission area belongs; the temperature value of the carbon emission area to which the target factory belongs at the start time point of the emission monitoring cycle represents the temperature value of the carbon emission area to which the target factory belongs at the start time point of the emission monitoring cycle.

[0062] The exhaust gas treatment efficiency factor of the target plant, the exhaust gas concentration at the outlet of the sample exhaust gas treatment equipment of the target plant at the end time of the treatment detection cycle, the temperature growth value of the carbon emission area of ​​the target plant during the emission monitoring cycle, and the average carbon emission rate of the target plant during the emission monitoring cycle are comprehensively determined to obtain the carbon emission warning value of the target plant. The carbon emission warning value of the target plant indicates the level of carbon emission of the target plant that needs to be vigilant. The specific determination process of the carbon emission warning value of the target plant is as follows:

[0063] In the formula, is the carbon emission warning value of the target factory, is the exhaust gas treatment efficiency factor of the target plant, To monitor the weight factor corresponding to the exhaust gas treatment efficiency factor preset in the database, The exhaust gas concentration at the outlet of the sample exhaust gas treatment equipment of the target factory at the end of the treatment test cycle. is the temperature growth value of the carbon emission area of ​​the target factory during the emission monitoring period, is the average carbon emission rate of the target plant during the emission monitoring period, To monitor the exhaust gas concentration limit value preset in the database, To monitor the temperature increase thresholds preset in the database, It is the average carbon emission rate limit value preset in the monitoring database.

[0064] It needs to be explained that the waste gas treatment efficiency is an important factor affecting carbon emissions. The level of waste gas treatment efficiency directly reflects the ability of waste gas treatment equipment to purify pollutants. When the waste gas treatment efficiency is high, it can effectively remove substances in the waste gas, thereby further reducing carbon emissions. Therefore, the waste gas treatment efficiency factor of the target factory is integrated into the carbon emission warning value of the target factory for comprehensive analysis. In addition, if the average carbon emission rate is large, more greenhouse gases will accumulate in the atmosphere in a short period of time, resulting in heat in the atmosphere being difficult to dissipate, thereby causing the temperature growth value to increase significantly. Similarly, if the waste gas concentration is large, the pollutants and greenhouse gas components contained therein will also increase accordingly. During the emission process, they will react with other components in the atmosphere, which may further generate new greenhouse gases, thereby aggravating the greenhouse effect and further causing the temperature growth value to increase significantly. Therefore, in carbon emission management, the comprehensive impact of these factors must be fully considered, and the carbon emissions of the target factory must be warned and adjusted in a timely manner to ensure that they meet environmental protection standards and sustainable development requirements.

[0065] The weighting factor corresponding to the above-mentioned exhaust gas treatment efficiency factor represents the proportion of the exhaust gas treatment efficiency factor of the target factory to the carbon emission warning value of the target factory. The corresponding relationship between the exhaust gas treatment efficiency factor and its corresponding weighting factor is stored in the monitoring database. For example, by inputting the exhaust gas treatment efficiency factor into the monitoring database, the weighting factor corresponding to the exhaust gas treatment efficiency factor can be obtained.

[0066] The above-mentioned exhaust gas concentration limit value indicates the maximum allowable exhaust gas concentration at the outlet of the sample exhaust gas treatment equipment belonging to the target factory at the end time of the treatment detection cycle; the above-mentioned temperature growth limit value indicates the maximum allowable temperature growth value of the carbon emission area to which the target factory belongs during the emission monitoring cycle; the above-mentioned carbon emission average rate limit value preset in the monitoring database indicates the maximum allowable carbon emission average rate of the target factory during the emission monitoring cycle.

[0067] In a specific embodiment, the present invention provides a carbon emission concentration monitoring method and early warning device. By acquiring the raw material processing process parameters of the target factory, the degree of processing compliance can be accurately analyzed, so as to timely adjust the raw material processing process, effectively reduce unnecessary carbon emission sources, and lay a solid foundation for reducing overall carbon emissions. Furthermore, the waste gas treatment process parameters of the target factory are collected, the waste gas treatment efficiency is scientifically evaluated, and the waste gas treatment process is optimized and adjusted accordingly, which significantly improves the waste gas purification efficiency and further reduces carbon emissions. Finally, by monitoring and collecting the carbon emission concentration-related parameters of the target factory, abnormal conditions in the carbon emission process can be warned in real time, and timely measures can be taken to make adjustments to ensure that carbon emissions are controlled within a reasonable range, which effectively promotes the factory's carbon emission reduction process and provides strong technical support for building a low-carbon, environmentally friendly and sustainable production model.

[0068] The second aspect of the present invention provides an early warning device that uses the carbon emission concentration monitoring method as described, characterized in that it includes: a processor and a carbon emission concentration feedback system; the processor is used to sequentially process the raw material processing process parameters of the target factory, the exhaust gas treatment process parameters of the target factory and the carbon emission concentration associated parameters of the target factory, and finally transmit the determined carbon emission early warning value of the target factory to the carbon emission concentration feedback system via the Internet; the carbon emission concentration feedback system is used to receive the carbon emission early warning value of the target factory from the processor, and make early warning adjustments to the carbon emission process of the target factory, and finally complete the carbon emission concentration monitoring.

[0069] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for monitoring carbon emission concentration, characterized in that: include: Step 1: Obtain the raw material processing parameters of the target factory, analyze the processing compliance index of the target factory, and compare it with the processing compliance threshold. If the processing compliance index of the target factory is less than or equal to the processing compliance threshold, adjust the raw material processing process of the target factory. If the processing compliance index of the target factory is greater than the processing compliance threshold, execute step 2. Step 2: Collect the waste gas treatment process parameters of the target factory, evaluate the waste gas treatment efficiency factor of the target factory based on the processing compliance index of the target factory, and compare it with the waste gas treatment efficiency threshold. If the waste gas treatment efficiency factor of the target factory is less than or equal to the waste gas treatment efficiency threshold, adjust the waste gas treatment process of the target factory. If the waste gas treatment efficiency factor of the target factory is greater than the waste gas treatment efficiency threshold, execute step 3; Step 3: Monitor and collect the carbon emission concentration correlation parameters of the target factory, determine the carbon emission warning value of the target factory based on the exhaust gas treatment efficiency factor of the target factory, and make warning adjustments to the carbon emission process of the target factory based on the carbon emission warning value of the target factory.

2. A carbon emission concentration monitoring method according to claim 1, characterized in that: The processing compliance index of the target factory is analyzed, and the specific analysis process is as follows: The raw material processing parameters of the target plant include the total chemical fuel consumption mass of the target plant during the processing monitoring period, the average temperature of the processing equipment of the target plant during the processing monitoring period, the average pressure of the processing equipment of the target plant during the processing monitoring period, and the average vibration amplitude of the processing equipment of the target plant during the processing monitoring period; The target factory's total chemical fuel consumption mass, the target factory's average processing equipment temperature, the target factory's average processing equipment pressure, and the target factory's average processing equipment vibration amplitude are comprehensively analyzed during the processing monitoring period to obtain the target factory's processing compliance index. The specific evaluation method of the target factory's processing compliance index is as follows: In the formula, is the processing compliance index of the target factory, is the total consumption mass of chemical fuels in the target plant during the process monitoring period, is the average temperature of the processing equipment in the target factory during the processing monitoring period, is the average pressure of the processing equipment in the target factory during the processing monitoring period, is the average vibration amplitude of the processing equipment in the target factory during the processing monitoring period, To monitor the reference total consumption mass of chemical fuels preset in the database, To monitor the reference average temperature of the processing equipment preset in the database, To monitor the reference average pressure of the processing equipment preset in the database, It is the reference average vibration amplitude of the processing equipment preset in the monitoring database, and e is a natural constant.

3. A carbon emission concentration monitoring method according to claim 1, characterized in that: The raw material processing process of the target factory is adjusted, and the specific adjustment process is: Performing difference processing on the processing compliance threshold and the processing compliance index of the target plant, marking the processing result as the processing compliance index deviation value of the target plant, matching and obtaining the raw material processing process adjustment set of the target plant and the first exhaust gas treatment process adjustment set of the target plant from the monitoring database according to the processing compliance index deviation value of the target plant, and adjusting the raw material processing equipment of the target plant according to the raw material processing process adjustment set of the target plant until the processing compliance index of the target plant is greater than the processing compliance threshold; At the same time, the waste gas treatment equipment of the target plant is adjusted according to the first waste gas treatment process adjustment set of the target plant, thereby collecting the waste gas treatment process parameters of the target plant, thereby completing the adjustment of the raw material processing process of the target plant.

4. A carbon emission concentration monitoring method according to claim 1, characterized in that: The collection of the waste gas treatment process parameters of the target plant specifically refers to collecting the pressure change curve of the sample waste gas treatment equipment of the target plant during the treatment detection cycle, the waste gas concentration at the air inlet of the sample waste gas treatment equipment of the target plant at the start time of the treatment detection cycle, the waste gas concentration at the air outlet of the sample waste gas treatment equipment of the target plant at the end time of the treatment detection cycle, and the supply rate of various adsorbents of the sample waste gas treatment equipment of the target plant during the treatment detection cycle.

5. A method for monitoring carbon emission concentration according to claim 1, characterized in that: The exhaust gas treatment efficiency factor of the target plant is evaluated, and the specific evaluation process is as follows: Locate the initial position point and the final position point of the curve on the pressure change curve of the sample exhaust gas treatment equipment of the target plant during the treatment detection cycle, obtain the equipment pressure at the initial position point of the curve and the equipment pressure at the final position point of the curve and perform data processing, and mark the processing result as the pressure growth rate of the sample exhaust gas treatment equipment of the target plant during the treatment detection cycle; Perform difference processing on the exhaust gas concentration at the air inlet of the sample exhaust gas treatment equipment of the target plant at the start time of the treatment detection period and the exhaust gas concentration at the air outlet of the sample exhaust gas treatment equipment of the target plant at the end time of the treatment detection period, and perform ratio processing on the difference processing result and the exhaust gas concentration at the air inlet of the sample exhaust gas treatment equipment of the target plant at the start time of the treatment detection period, and mark the ratio processing result as the exhaust gas treatment efficiency of the sample exhaust gas treatment equipment of the target plant within the treatment detection period; According to the processing compliance index of the target factory, the reference supply rate of various adsorbents of the sample exhaust gas treatment equipment of the target factory during the treatment detection cycle is matched from the monitoring database; The waste gas treatment efficiency factor of the target factory is obtained by comprehensively evaluating the processing compliance index of the target factory, the pressure growth rate of the sample waste gas treatment equipment of the target factory during the treatment test cycle, the waste gas treatment efficiency of the sample waste gas treatment equipment of the target factory during the treatment test cycle, the reference supply rate of various adsorbents of the sample waste gas treatment equipment of the target factory during the treatment test cycle, and the supply rate of various adsorbents of the sample waste gas treatment equipment of the target factory during the treatment test cycle.

6. A method for monitoring carbon emission concentration according to claim 5, characterized in that: The specific evaluation method of the exhaust gas treatment efficiency factor of the target plant is as follows: In the formula, is the exhaust gas treatment efficiency factor of the target plant, is the processing compliance index of the target factory, is the pressure growth rate of the sample exhaust gas treatment equipment of the target factory during the treatment test cycle, is the supply rate of the ath adsorbent of the sample exhaust gas treatment equipment of the target factory during the treatment detection cycle, is the waste gas treatment efficiency of the sample waste gas treatment equipment of the target factory during the treatment test cycle, To monitor the weighting factor corresponding to the processing compliance index preset in the database, The specific gravity factor corresponding to the unit value of the exhaust gas treatment efficiency preset in the monitoring database, Define the growth rate for the pressure, is the reference supply rate of the ath adsorbent of the sample exhaust gas treatment equipment of the target factory during the treatment detection cycle, e is a natural constant, a is the number of various adsorbents, , w is the total number of adsorbent types.

7. A method for monitoring carbon emission concentration according to claim 1, characterized in that: The waste gas treatment process of the target factory is adjusted, and the specific adjustment process is: Perform difference processing on the exhaust gas treatment efficiency threshold and the exhaust gas treatment efficiency factor of the target plant, and mark the difference processing result as the exhaust gas treatment efficiency factor deviation value of the target plant. According to the exhaust gas treatment efficiency factor deviation value of the target plant, match the second exhaust gas treatment process adjustment set of the target plant and the first carbon emission process adjustment set of the target plant from the monitoring database, and adjust the exhaust gas treatment equipment of the target plant according to the second exhaust gas treatment process adjustment set of the target plant, so that the exhaust gas treatment efficiency factor of the target plant is greater than the exhaust gas treatment efficiency threshold; At the same time, the carbon emission facilities of the target plant are adjusted according to the first carbon emission process adjustment set of the target plant, thereby monitoring and collecting the carbon emission concentration-related parameters of the target plant, thereby completing the adjustment of the waste gas treatment process of the target plant.

8. A method for monitoring carbon emission concentration according to claim 1, characterized in that: The specific determination process of determining the carbon emission warning value of the target factory is as follows: The carbon emission concentration associated parameters of the target plant include the temperature value of the carbon emission area to which the target plant belongs at the start time of the emission monitoring period, the temperature value of the carbon emission area to which the target plant belongs at the end time of the emission monitoring period, and the average carbon emission rate of the target plant during the emission monitoring period; Performing difference processing on the temperature value of the carbon emission area to which the target plant belongs at the end time point of the emission monitoring period and the temperature value of the carbon emission area to which the target plant belongs at the start time point of the emission monitoring period, and marking the processing result as the temperature growth value of the carbon emission area to which the target plant belongs during the emission monitoring period; The target factory's waste gas treatment efficiency factor, the waste gas concentration at the outlet of the sample waste gas treatment equipment of the target factory at the end of the treatment detection cycle, the temperature growth value of the carbon emission area of ​​the target factory during the emission monitoring cycle, and the average carbon emission rate of the target factory during the emission monitoring cycle are comprehensively determined to obtain the carbon emission warning value of the target factory.

9. A method for monitoring carbon emission concentration according to claim 1, characterized in that: The carbon emission process of the target factory is adjusted by early warning, and the specific early warning adjustment process is as follows: The carbon emission warning value of the target factory is compared with the carbon emission warning threshold. If the carbon emission warning value of the target factory is less than or equal to the carbon emission warning threshold, the raw material processing parameters of the target factory are continuously obtained; If the carbon emission warning value of the target factory is greater than the carbon emission warning threshold, the second carbon emission process adjustment set of the target factory is matched from the monitoring database according to the carbon emission warning value of the target factory, and the carbon emission facilities are adjusted for warning according to the second carbon emission process adjustment set of the target factory, so that the carbon emission concentration feedback system completes the warning adjustment of the carbon emissions of the target factory.

10. An early warning device using the carbon emission concentration monitoring method according to any one of claims 1 to 9, characterized in that: include: processor and carbon emission concentration feedback system; The processor is used to sequentially process the raw material processing parameters of the target plant, the exhaust gas treatment process parameters of the target plant, and the carbon emission concentration associated parameters of the target plant, and finally transmit the determined carbon emission warning value of the target plant to the carbon emission concentration feedback system via the Internet; The carbon emission concentration feedback system is used to receive the carbon emission warning value of the target factory of the processor, and to make warning adjustments to the carbon emission process of the target factory, and finally complete the carbon emission concentration monitoring.

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