Pushed slab kiln carbon emission optimization and energy efficiency evaluation method, device, equipment and medium

Abstract

The invention relates to the technical field of carbon emission optimization and energy efficiency evaluation of a pushed slab kiln. The pushed slab kiln carbon emission optimization and energy efficiency evaluation method comprises the steps that pushed slab kiln heat energy distribution information is subjected to heat energy balance calculation, pushed slab kiln heat energy consumption information is obtained, the pushed slab kiln heat energy consumption information is input into a carbon footprint calculation model, and carbon emission contribution values of all areas of the pushed slab kiln are obtained; comparing the carbon emission contribution value of each region of the pushed slab kiln with a preset carbon emission threshold value to obtain a carbon emission deviation result, optimizing the operating parameters of each region of the pushed slab kiln through a feedback control algorithm, and after the optimization of the operating parameters of each region of the pushed slab kiln is completed, obtaining the optimized carbon emission contribution value of each region of the pushed slab kiln. The optimized carbon emission contribution values of all the areas of the pushed slab kiln are accumulated, the total carbon footprint value of the pushed slab kiln is obtained, and a kiln energy consumption and carbon emission evaluation report is generated according to the energy consumption evaluation result. The method has the effect of dynamically evaluating the global energy efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission optimization and energy efficiency evaluation of a push plate kiln, and in particular to a method, device, equipment and medium for carbon emission optimization and energy efficiency evaluation of a push plate kiln. Background Art

[0002] At present, pusher kilns are widely used in high-temperature processing fields such as ceramics, refractory materials, and chemical materials. Their operation process involves complex heat transfer, gas flow, and waste gas emission management. The refined management of energy consumption and carbon emissions in the production process of pusher kilns has gradually become the focus of industry attention. However, how to efficiently track and optimize the energy efficiency and carbon footprint of pusher kilns still faces great technical challenges.

[0003] The existing operation and management methods of push-plate kilns usually rely on overall energy consumption data or single parameter indicators for rough estimation, and lack accurate analysis of the heat energy consumption and carbon emission contribution of each region. This method makes it difficult to clearly identify high-energy consumption or high-carbon emission areas, resulting in blind optimization of operation parameters. At the same time, the existing energy efficiency evaluation mainly focuses on a single total energy consumption indicator, while ignoring the comprehensive evaluation of thermal energy utilization efficiency, gas flow uniformity and exhaust gas recovery efficiency between regions, resulting in the evaluation results being difficult to fully reflect the actual operation status of the push-plate kiln. Summary of the invention

[0004] In order to achieve dynamic evaluation of global energy efficiency, the present application provides a push plate kiln carbon emission optimization and energy efficiency evaluation method, device, equipment and medium.

[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for optimizing carbon emissions and evaluating energy efficiency of a push plate kiln, the method comprising: Get the heat energy distribution information of push plate kiln; Performing heat energy balance calculation on the heat energy distribution information of the push plate kiln to obtain heat energy consumption information of the push plate kiln; Inputting the heat energy consumption information of the push plate kiln into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln; Compare the carbon emission contribution value of each area of ​​the push plate kiln with the preset carbon emission threshold to obtain the carbon emission deviation result; According to the carbon emission deviation result, the operating parameters of each area of ​​the push plate kiln are optimized by a feedback control algorithm. After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the optimized carbon emission contribution value of each area of ​​the push plate kiln is obtained, and the carbon emission contribution value of each area of ​​the push plate kiln after the optimization is accumulated to obtain the total carbon footprint value of the push plate kiln; The total carbon footprint value of the push-plate kiln is compared with the global carbon emission target value to generate a final energy consumption assessment result. Based on the energy consumption assessment result, the overall energy efficiency of the push-plate kiln is comprehensively analyzed to generate a kiln energy consumption and carbon emission assessment report.

[0006] By adopting the above technical solution, the heat energy consumption status of each region can be accurately identified by obtaining the heat energy distribution information of the push plate kiln and performing heat energy balance calculation, avoiding the problem of unclear heat energy consumption distribution in traditional estimation, and providing a scientific basis for regional carbon emission optimization. The heat energy consumption information is input into the carbon footprint calculation model, the carbon emission contribution value of each region is calculated and compared with the preset threshold, which can quickly locate the high carbon emission area, thereby realizing the accurate tracking of carbon emission deviation. The feedback control algorithm is applied to dynamically optimize the operating parameters of each area of ​​the push plate kiln according to the carbon emission deviation, such as adjusting the heat energy input, gas flow and operating time distribution, which can reduce the emission of high carbon emission areas and balance the overall energy consumption. The optimized regional carbon emission contribution value is accumulated and the total carbon footprint value of the push plate kiln is calculated, and compared with the global carbon emission target value, a comprehensive assessment of the overall carbon emission level of the push plate kiln is achieved, providing technical support for low-carbon production. The generation of kiln energy consumption and carbon emission assessment reports can provide guidance for the long-term improvement of the push plate kiln operation mode and the improvement of energy utilization efficiency, meeting the industry needs of energy conservation and emission reduction.

[0007] In a preferred example, the present application may be further configured as follows: the heat energy balance calculation of the heat energy distribution information of the push plate kiln is performed to obtain the heat energy consumption information of the push plate kiln, including: The heat energy consumption information of the push plate kiln is calculated by the following formula: , where Q 总消耗，i is the heat energy consumption information of the push plate kiln, and the Q 输入，i is the heat input of each area, the Q 输出，i is the heat loss of each area, β is the temperature difference correction coefficient, and ΔT 不均匀 is the temperature distribution difference between the regions, γ is the surface area correction coefficient, and f(A 表面 ) is a nonlinear function.

[0008] By adopting the above technical solution, the heat energy input and heat loss of each area are quantitatively calculated through formulas, which can fully grasp the heat energy distribution state of the push plate kiln and provide a scientific basis for the energy balance analysis of each area. The introduction of temperature difference correction coefficient and temperature distribution difference effectively compensates for the calculation error caused by uneven temperature distribution and improves the accuracy of heat energy consumption calculation. Through the surface area correction coefficient and nonlinear function, the influence of the complexity of the surface structure of different areas on heat loss is fully considered, ensuring the accuracy and applicability of the heat loss calculation of the push plate kiln.

[0009] In a preferred example, the present application can be further configured as follows: the heat energy consumption information of the push plate kiln is input into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln, including: The carbon footprint calculation model obtains the carbon emission contribution value of each area of ​​the push plate kiln based on the following formula: , wherein the C 区域，i represents the carbon emission contribution value of each area of ​​the push plate kiln, and the Q 消耗，i Indicates the heat energy consumption information of the push plate kiln, the F 能源，i represents the carbon emission factor of energy used in each region, L 泄漏，i represents the non-combustion carbon leakage in each area, α represents the leakage correction coefficient, and ξ 排放因子，i Represents the emission factors of specific pollutants in each region.

[0010] By adopting the above technical solutions, the carbon footprint calculation model is used to combine the heat energy consumption information with the carbon emission factor of energy, which can accurately quantify the carbon emissions generated by heat energy consumption in each region, avoiding the deviation caused by rough calculations in traditional estimation methods. By introducing non-combustion carbon leakage and leakage correction coefficients, non-combustion carbon emissions caused by equipment leakage or pipeline emissions can be accurately evaluated, which improves the comprehensiveness and reliability of carbon emission assessment. By comprehensively considering specific pollutant emission factors, SOx, NOx and other pollutants emitted by each region are quantified, further improving the calculation accuracy of carbon emission contribution values, and realizing multi-dimensional carbon emission tracking. Accurately calculating the carbon emission contribution value of each region provides scientific information support for identifying high-carbon emission areas, optimizing regional operating parameters, and balancing heat energy distribution, thereby effectively reducing overall carbon emissions.

[0011] In a preferred example, the present application can be further configured as follows: optimizing the operating parameters of each area of ​​the push plate kiln through a feedback control algorithm according to the carbon emission deviation result, including: Obtaining a heat energy input deviation result of a high carbon emission area from the carbon emission deviation result, and reducing the power and operation time of heating equipment in the high carbon emission area according to the heat energy input deviation result to reduce heat energy input; Obtaining a heat output deviation result from the carbon emission deviation result, and adjusting the gas flow rate and exhaust path of each area according to the heat output deviation result to extend the retention time of the high-temperature exhaust gas; The operation time deviation result is obtained from the carbon emission deviation result, and the time distribution of each area in the heating stage, the maintenance stage and the cooling stage is adjusted according to the operation time deviation result.

[0012] By adopting the above technical solution, by obtaining the thermal energy input deviation results from the carbon emission deviation results and reducing the power and operating time of the heating equipment in the high carbon emission areas, the thermal energy input in the high carbon emission areas can be effectively reduced, unnecessary energy consumption and carbon emissions can be controlled from the source, and refined management of regional thermal energy utilization can be achieved. The thermal energy output deviation results are obtained from the carbon emission deviation results and the gas flow rate and exhaust path are optimized to extend the residence time of high-temperature exhaust gas in key areas, improve the efficiency of heat recovery and utilization, reduce carbon emissions caused by heat waste during the exhaust process, and optimize the overall exhaust energy efficiency. Obtaining the operating time deviation results from the carbon emission deviation results and adjusting the operating time distribution of each area can optimize the time parameters according to the specific needs of the heating, maintenance and cooling stages, ensuring that the heat treatment process not only meets the process requirements, but also reduces energy consumption and emissions, and improves overall thermal efficiency.

[0013] In a preferred example, the present application may be further configured as follows: optimizing the operating parameters of each area of ​​the push plate kiln through a feedback control algorithm according to the carbon emission deviation result, further comprising: Based on the carbon emission deviation result, a regional coordination deviation result is obtained. According to the regional coordination deviation result, the operating state of each area is adjusted when controlling the operating parameters to comprehensively balance the heat energy distribution and gas flow.

[0014] By adopting the above technical solution and calculating the regional coordination deviation results based on the carbon emission deviation results, it is possible to accurately identify the imbalance of heat energy distribution and gas flow between regions, and provide accurate information support for the optimization and adjustment of subsequent operating conditions. The operating status of each region is adjusted according to the regional coordination deviation results, and precise adjustments are made to key parameters such as heat energy input, heat energy output and gas flow, reducing the overall instability of the system caused by the adjustment of the operation of a single region. By comprehensively balancing heat energy distribution and gas flow, it is possible to ensure the dynamic balance of heat energy between high-energy consumption areas and low-energy consumption areas, while optimizing the gas flow path and flow rate, improving the gas circulation efficiency in the kiln, and reducing heat energy waste and unnecessary carbon emissions.

[0015] In a preferred example, the present application can be further configured as follows: the comprehensive balance of heat energy distribution and gas flow includes: Acquire real-time operation information of each area, analyze the thermal energy utilization efficiency and gas flow uniformity of each area according to the real-time operation information of each area, and obtain analysis results of the unbalanced area; According to the analysis results of the imbalanced areas, the heat input parameters are adjusted preferentially to achieve a balance in heat energy distribution by reducing the power and operation time of the high heat input areas and increasing the power of the low heat input areas; According to the analysis results of the unbalanced areas, the gas flow parameters are adjusted, the gas flow amount of each area is redistributed, the exhaust speed in the high emission area is reduced, the flow direction of the gas in the low emission area is controlled, and the gas circulation efficiency in the kiln is optimized to achieve uniformity of gas flow.

[0016] By adopting the above technical solution, by obtaining real-time operation information of each area and analyzing the thermal energy utilization efficiency and gas flow uniformity, it is possible to quickly and accurately identify the unbalanced areas in the operation of the push plate kiln, provide scientific data support for subsequent optimization and adjustment, and avoid inefficient adjustments caused by traditional experience judgment. According to the analysis results of the unbalanced area, the thermal energy input parameters are adjusted first, and the power and operating time of the high thermal energy input area are reduced, while the power of the low thermal energy input area is increased, so as to achieve a dynamic balance of thermal energy distribution in each area, thereby effectively reducing energy waste in high energy consumption areas. According to the analysis results of the unbalanced area, the gas flow parameters are adjusted, and the exhaust speed and path of the high emission area are optimized to guide the gas flow direction, improve the waste gas residence time and heat recovery efficiency, and reduce the heat energy waste and local carbon emissions caused by gas flow unevenness.

[0017] In a preferred example, the present application can be further configured as follows: after the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the optimized carbon emission contribution value of each area of ​​the push plate kiln is obtained, and the carbon emission contribution value of each area of ​​the push plate kiln after the optimization is accumulated to obtain the total carbon footprint value of the push plate kiln, including: After completing the optimization of the operating parameters of each area of ​​the push plate kiln, the carbon emissions generated by heat energy consumption in each area are calculated by the following formula: , where Q 区域，i is the heat energy consumption information of each area of ​​the push plate kiln after the operation parameters are optimized. 能源，i represents the carbon emission factor of energy used in each region, where E 热能，i is the carbon emissions generated by heat energy consumption in each area; After completing the optimization of the operating parameters of each area of ​​the push plate kiln, the carbon emissions generated by exhaust gas emissions in each area are calculated by the following formula: , wherein the V 气体，i is the optimized gas flow parameter, the C 气体成分，i is the gas component concentration in the exhaust gas, the M 排气量，i is the exhaust volume, the η 废气，i is the waste gas recovery efficiency, the F 排气因子，i is the carbon emission factor, the E 废气，i is the carbon emissions generated by exhaust gas emissions in each of the areas mentioned; The carbon emissions generated by heat energy consumption and exhaust gas emissions in each region are added together to obtain the optimized carbon emission contribution value of each region through the following formula: , wherein E 区域，i The optimized carbon emission contribution value of each region; The total carbon footprint of the push plate kiln is obtained by adding up the optimized carbon emission contribution values ​​of each area through the following formula: , wherein the E 总 is the total carbon footprint value of the push plate kiln.

[0018] By adopting the above technical solution, by calculating the carbon emissions generated by heat energy consumption in each region, the direct carbon emission impact of heat energy use can be quantified, and combined with the heat energy optimization data of each region, the accuracy of carbon emission calculation can be ensured, and data support can be provided for reducing carbon emissions caused by heat energy use. The carbon emissions generated by exhaust gas emissions in each region are calculated, and the influence of exhaust gas flow, gas composition and exhaust gas recovery efficiency is fully considered, and the carbon emission contribution of exhaust gas emissions is accurately evaluated, which makes up for the problem of insufficient consideration of exhaust gas emissions in traditional carbon emission calculations. The carbon emissions of each region are added together to obtain the optimized regional carbon emission contribution value, which can fully reflect the specific contribution of each region to the total carbon emissions, help locate high-carbon emission areas, optimize operating parameters, and reduce the impact of local high emissions on overall operation. By accumulating the optimized regional carbon emission contribution value and calculating the total carbon footprint value of the push plate kiln, not only a global assessment of carbon emissions is achieved, but also it can be compared with the global carbon emission target value, and the overall carbon emission status of the push plate kiln can be dynamically controlled, providing a quantitative basis for achieving low-carbon operation and carbon neutrality goals.

[0019] The second object of the invention is achieved by the following technical solutions: A push plate kiln carbon emission optimization and energy efficiency evaluation device, the push plate kiln carbon emission optimization and energy efficiency evaluation device comprising: The heat energy distribution acquisition module is used to obtain the heat energy distribution information of the push plate kiln; A carbon footprint calculation module, used for performing heat balance calculation on the heat energy distribution information of the push plate kiln to obtain heat energy consumption information of the push plate kiln; A carbon emission deviation analysis module is used to input the heat energy consumption information of the push plate kiln into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln; An operating parameter optimization module is used to compare the carbon emission contribution value of each area of ​​the push plate kiln with a preset carbon emission threshold to obtain a carbon emission deviation result; A total carbon footprint calculation module is used to optimize the operating parameters of each area of ​​the push plate kiln through a feedback control algorithm according to the carbon emission deviation result, and after completing the optimization of the operating parameters of each area of ​​the push plate kiln, obtain the optimized carbon emission contribution value of each area of ​​the push plate kiln, and accumulate the optimized carbon emission contribution values ​​of each area of ​​the push plate kiln to obtain the total carbon footprint value of the push plate kiln; The energy efficiency evaluation and report generation module is used to compare the total carbon footprint value of the push plate kiln with the global carbon emission target value to generate a final energy consumption evaluation result. According to the energy consumption evaluation result, the overall energy efficiency of the push plate kiln is comprehensively analyzed to generate a kiln energy consumption and carbon emission evaluation report.

[0020] By adopting the above technical solution, the heat energy consumption status of each region can be accurately identified by obtaining the heat energy distribution information of the push plate kiln and performing heat energy balance calculation, avoiding the problem of unclear heat energy consumption distribution in traditional estimation, and providing a scientific basis for regional carbon emission optimization. The heat energy consumption information is input into the carbon footprint calculation model, the carbon emission contribution value of each region is calculated and compared with the preset threshold, which can quickly locate the high carbon emission area, thereby realizing the accurate tracking of carbon emission deviation. The feedback control algorithm is applied to dynamically optimize the operating parameters of each area of ​​the push plate kiln according to the carbon emission deviation, such as adjusting the heat energy input, gas flow and operating time distribution, which can reduce the emission of high carbon emission areas and balance the overall energy consumption. The optimized regional carbon emission contribution value is accumulated and the total carbon footprint value of the push plate kiln is calculated, and compared with the global carbon emission target value, a comprehensive assessment of the overall carbon emission level of the push plate kiln is achieved, providing technical support for low-carbon production. The generation of kiln energy consumption and carbon emission assessment reports can provide guidance for the long-term improvement of the push plate kiln operation mode and the improvement of energy utilization efficiency, meeting the industry needs of energy conservation and emission reduction.

[0021] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned push plate kiln carbon emission optimization and energy efficiency evaluation method when executing the computer program.

[0022] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned push plate kiln carbon emission optimization and energy efficiency evaluation method.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. By obtaining the heat energy distribution information of the push plate kiln and performing heat energy balance calculation, the heat energy consumption status of each region can be accurately identified, avoiding the problem of unclear heat energy consumption distribution in traditional estimation, and providing a scientific basis for regional carbon emission optimization. Inputting the heat energy consumption information into the carbon footprint calculation model, calculating the carbon emission contribution value of each region and comparing it with the preset threshold, it can quickly locate the high carbon emission area, thereby achieving accurate tracking of carbon emission deviations. Applying the feedback control algorithm, dynamically optimizing the operating parameters of each area of ​​the push plate kiln according to the carbon emission deviation, such as adjusting the heat energy input, gas flow and operating time distribution, can reduce the emissions in the high carbon emission area and balance the overall energy consumption. Accumulating the optimized regional carbon emission contribution value and calculating the total carbon footprint value of the push plate kiln, comparing it with the global carbon emission target value, to achieve a comprehensive assessment of the overall carbon emission level of the push plate kiln, and provide technical support for low-carbon production. Generating a kiln energy consumption and carbon emission assessment report can provide guidance for the long-term improvement of the push plate kiln operation mode and the improvement of energy utilization efficiency, and meet the industry needs of energy conservation and emission reduction; 2. By combining the heat energy consumption information with the carbon emission factor of energy through the carbon footprint calculation model, the carbon emissions generated by heat energy consumption in each region can be accurately quantified, avoiding the deviation caused by rough calculations in traditional estimation methods. By introducing non-combustion carbon leakage and leakage correction coefficients, non-combustion carbon emissions caused by equipment leakage or pipeline emissions can be accurately evaluated, improving the comprehensiveness and reliability of carbon emission assessments. By comprehensively considering specific pollutant emission factors, SOx, NOx and other pollutants emitted by each region are quantified, further improving the calculation accuracy of carbon emission contribution values, and realizing multi-dimensional carbon emission tracking. Accurately calculating the carbon emission contribution value of each region provides scientific information support for identifying high-carbon emission areas, optimizing regional operating parameters, and balancing heat energy distribution, thereby effectively reducing overall carbon emissions; 3. By calculating the carbon emissions generated by heat energy consumption in each region, the direct carbon emission impact of heat energy use can be quantified, and combined with the heat energy optimization data of each region, the accuracy of carbon emission calculation can be ensured, providing data support for reducing carbon emissions caused by heat energy use. The carbon emissions generated by exhaust gas emissions in each region are calculated, and the influence of exhaust flow, gas composition and exhaust gas recovery efficiency is fully considered, and the carbon emission contribution of exhaust gas emissions is accurately evaluated, which makes up for the problem of insufficient consideration of exhaust gas emissions in traditional carbon emission calculations. The carbon emissions of each region are added together to obtain the optimized regional carbon emission contribution value, which can fully reflect the specific contribution of each region to the total carbon emissions, help locate high-carbon emission areas, optimize operating parameters, and reduce the impact of local high emissions on overall operation. By accumulating the optimized regional carbon emission contribution values ​​and calculating the total carbon footprint value of the push plate kiln, not only a global assessment of carbon emissions is achieved, but also it can be compared with the global carbon emission target value, dynamically controlling the overall carbon emission status of the push plate kiln, and providing a quantitative basis for achieving low-carbon operation and carbon neutrality goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a flow chart of a method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 2 It is a flowchart for implementing step S20 in the method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 3 It is a flowchart for implementing step S30 in the method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 4 It is a flowchart for implementing step S50 in the method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 5 It is a flowchart for implementing step S50 in the method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 6 It is a flowchart for implementing step S51 in the method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 7 It is another implementation flow chart of step S50 in the method for carbon emission optimization and energy efficiency evaluation of a push plate kiln in one embodiment of the present application; Figure 8 This is a principle block diagram of a push plate kiln carbon emission optimization and energy efficiency evaluation device in one embodiment of the present application; Fig. 9 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The present application is further described in detail below in conjunction with the accompanying drawings.

[0026] In one embodiment, if Figure 1 As shown, the present application discloses a method for carbon emission optimization and energy efficiency evaluation of a push plate kiln, which specifically includes the following steps: S10: Obtaining heat energy distribution information of the push plate kiln.

[0027] Specifically, by deploying multiple high-precision temperature sensors and heat flux density sensors in different key areas of the push-plate kiln, thermal energy-related information of each area is collected. These sensors record the temperature change information and heat flux density information of each area according to the operation status and layout position of the push-plate kiln. The acquired thermal energy information is transmitted to the central processing equipment through the data acquisition module. The central processing equipment integrates and analyzes this information based on the layout position of the sensor and the material movement trajectory in the push-plate kiln to generate the thermal energy distribution information in the push-plate kiln.

[0028] S20: Performing heat energy balance calculation on the heat energy distribution information of the push plate kiln to obtain heat energy consumption information of the push plate kiln.

[0029] Specifically, by analyzing the heat energy distribution information of the push-plate kiln, the heat input information and heat output information of each area are evaluated respectively. The heat input information is integrated by statistically analyzing the operation information, fuel usage information and combustion efficiency information of each heating equipment, among which the fuel supply information can be converted based on the fuel quality and calorific value. The heat output information is obtained by analyzing the heat loss information of the push-plate kiln, including the heat dissipation through the kiln wall, exhaust gas emissions and heat energy information not completely absorbed by the material. The heat input information is compared with the heat output information one by one, and the heat energy consumption information of each area is calculated according to the difference between the two. In this process, the influence of external interference factors such as ambient temperature and air flow changes in the kiln can be corrected to ensure the accuracy of the heat energy consumption information.

[0030] S30: Inputting the heat energy consumption information of the push plate kiln into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln.

[0031] Specifically, when the heat energy consumption information of the push-plate kiln is input into the carbon footprint calculation model, the heat energy consumption information needs to be matched with the corresponding fuel type and combustion characteristic information. The carbon footprint calculation model calculates the carbon emission contribution value based on the carbon emission characteristics and actual usage of each fuel. At the same time, combined with non-combustion carbon leakage information, such as carbon leakage information caused by insufficient equipment sealing or abnormal exhaust device during the operation of the push-plate kiln, the carbon emission results are adjusted and corrected. During the calculation process, the carbon emission contribution information is compared with the operating condition information of the push-plate kiln in real time to ensure that the carbon emission contribution value of each area is accurate, and finally the carbon emission contribution information of each area is generated.

[0032] S40: Compare the carbon emission contribution value of each area of ​​the push plate kiln with the preset carbon emission threshold to obtain the carbon emission deviation result.

[0033] Specifically, the carbon emission contribution value information of each area of ​​the push-plate kiln is compared one by one with the pre-set carbon emission threshold information. The comparison process is completed by calculating the deviation information. The carbon emission threshold information can be set in advance according to the push-plate kiln design standards, industry carbon emission specifications and national environmental protection regulations. The deviation information includes positive deviation and negative deviation. A positive deviation indicates that the carbon emission contribution value of the area exceeds the preset standard and needs to be optimized. A negative deviation indicates that the carbon emission contribution of the area is low and can be appropriately adjusted to optimize the global operating status. By visually analyzing the deviation information of each area, such as generating a deviation heat map and an emission trend map, the carbon emission deviation status inside the push-plate kiln can be intuitively displayed.

[0034] S50: According to the carbon emission deviation result, the operating parameters of each area of ​​the push-plate kiln are optimized through a feedback control algorithm. After the optimization of the operating parameters of each area of ​​the push-plate kiln is completed, the optimized carbon emission contribution value of each area of ​​the push-plate kiln is obtained, and the optimized carbon emission contribution value of each area of ​​the push-plate kiln is accumulated to obtain the total carbon footprint value of the push-plate kiln.

[0035] Specifically, the feedback control algorithm is used to prioritize optimization for areas with larger carbon emission deviation information. The specific optimization includes adjusting the thermal energy input information, such as reducing the power of heating equipment in high-emission areas, shortening the heating time, optimizing the fuel supply, and adjusting the thermal energy output information at the same time. By controlling the gas flow rate, optimizing the exhaust path, etc., the residence time of high-temperature exhaust gas is extended to improve the heat recovery rate. After completing the optimization of the operating parameters of each area, the optimized thermal energy consumption information is collected again and input into the carbon footprint calculation model to calculate the optimized carbon emission contribution value of each area. Finally, the optimized carbon emission contribution values ​​are added one by one to obtain the total carbon footprint value of the push-plate kiln.

[0036] S60: Compare the total carbon footprint value of the push-plate kiln with the global carbon emission target value to generate the final energy consumption assessment result. Based on the energy consumption assessment result, comprehensively analyze the overall energy efficiency of the push-plate kiln to generate the kiln energy consumption and carbon emission assessment report.

[0037] Specifically, by comparing the total carbon footprint value of the push-plate kiln with the global carbon emission target value one by one, during the comparison process, the allocation target information of each area is first extracted from the global carbon emission target value, and the optimized carbon emission contribution value of each area is compared. At the same time, combined with the difference between the total carbon footprint value of the push-plate kiln and the global carbon emission target value, the deviation information of each area is calculated according to the target difference. After completing the target value comparison, the deviation information obtained by the comparison is correlated with the operating parameters of the push-plate kiln for analysis. By matching the operating time information, thermal energy input information and exhaust gas emission path information of the high-emission area, the operating status records of each area are sorted out, and finally the above comparison results and operation records are converted into tabular form or visual information.

[0038] In one embodiment, if Figure 2 As shown, in step S20, the heat energy distribution information of the push plate kiln is subjected to heat energy balance calculation to obtain the heat energy consumption information of the push plate kiln, including: S201: Calculate the heat energy consumption information of the push plate kiln by the following formula: , where Q 总消耗，i To push the heat energy consumption information of the kiln, Q 输入，i is the heat input of each area, Q 输出，i is the heat loss of each area, β is the temperature difference correction coefficient, ΔT 不均匀 is the temperature distribution difference between the regions, γ is the surface area correction factor f(A表面 ) is a nonlinear function.

[0039] Specifically, when calculating the heat energy consumption information of the push plate kiln, first obtain the heat input Q of each area 输入，i By recording the fuel supply, combustion efficiency and operating parameters of the heating equipment, the heat input of the fuel is calculated in combination with the calorific value of the fuel. At the same time, the operating power and operating time of the heating equipment are obtained. The heat input of the electric heating is calculated by multiplying the power and time. Finally, the heat input of the fuel and the electric heat input are accumulated to obtain the heat input. Subsequently, the heat loss Q of each area is obtained. 输出，i , combined with the heat dissipation of the kiln wall, the heat emitted by the exhaust gas and the heat not absorbed by the material, the heat dissipation of the kiln wall is calculated by the heat transfer formula, combined with the heat transfer coefficient, surface area and internal and external temperature difference of the kiln wall, the exhaust gas emission heat is calculated using the exhaust flow rate, specific heat capacity and exhaust temperature difference, the heat not absorbed by the material is calculated by the mass, specific heat capacity and temperature difference of the material, the total heat loss is accumulated by the three parts of heat loss, and then the temperature difference correction β×ΔT unevenness is obtained, the highest and lowest temperatures inside the area are recorded by multi-point temperature acquisition, the temperature difference within the area is calculated, and the correction amount is obtained by multiplying the temperature difference correction coefficient by the temperature difference unevenness, and finally, the surface area correction γ×f(A surface) is obtained, the correction amount is calculated by measuring the difference between the actual surface area and the equivalent surface area of ​​the area and combining the surface area correction coefficient, the heat input, heat loss, temperature difference correction and surface area correction obtained above are substituted into the formula, and the heat energy consumption information of the push plate kiln is obtained after the calculation is completed item by item.

[0040] Furthermore, Q 输入，i The calculation formula is: , where m 燃料，i is the fuel mass, H 燃料 is the calorific value of the fuel, η 燃烧 is the combustion efficiency, P 加热设备，i is the power of the heating equipment, t 运行，i The operating time of the heating equipment is calculated by obtaining the fuel consumption and combustion characteristics of each area in the push plate kiln, combining the power and operating time of the heating equipment, and calculating the fuel heat input and equipment heat input respectively. Finally, the heat input Q is accumulated. 输入，i , then obtain the heat loss Q of each area 输出，i , Q 输出，i Calculated by the following formula: , where U is the kiln wall heat transfer coefficient, A 壁，i is the surface area of ​​the kiln wall, T 内，i , T 外，i are the temperature inside and outside the kiln, V 废气，i is the exhaust gas volume flow rate, C p is the specific heat capacity of exhaust gas, T 废气，i , T 环境are the exhaust gas temperature and the ambient temperature respectively. By monitoring the heat transfer of the kiln wall, the gas flow rate and temperature difference information of the exhaust path, the heat loss of the kiln wall and the exhaust gas emission heat are calculated, and the total heat loss Q is accumulated. 输出，i Then, obtain the temperature difference correction β×ΔT 不均匀 , the temperature difference correction is calculated by the following formula: , where T max and T min The highest and lowest temperatures in the region are arranged respectively. By arranging multiple temperature sensors, the temperature values ​​at different locations in the region are recorded, the temperature distribution difference is calculated, and then the temperature difference correction coefficient β is used for correction to obtain the temperature difference correction value. Finally, the surface area correction value γ×f(A 表面 ), the surface area correction is calculated using the following formula: , where A 实际 and A 等效 are the actual surface area and equivalent surface area of ​​the region, respectively. The actual surface area is calculated by measuring the geometric dimensions of the region, and the equivalent surface area is determined by plane fitting method. Combined with the surface area correction coefficient γ, the correction amount γ×f(A 表面 ), substitute the heat input, heat loss, temperature difference correction and surface area correction into the formula respectively, complete the calculation and obtain the heat energy consumption information of the push plate kiln.

[0041] In one embodiment, if Figure 3 As shown, in step S30, the heat energy consumption information of the push plate kiln is input into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln, including: S301: The carbon footprint calculation model obtains the carbon emission contribution value of each area of ​​the push plate kiln based on the following formula: , where C 区域，i represents the carbon emission contribution value of each area of ​​the push plate kiln, Q 消耗，i Indicates the heat energy consumption information of the push plate kiln, F 能源，i represents the carbon emission factor of energy used in each region, L 泄漏，i represents the non-combustion carbon leakage in each area, α represents the leakage correction coefficient, and ξ 排放因子，i Represents the emission factors of specific pollutants in each region.

[0042] Specifically, when calculating the carbon emission contribution value of each area of ​​the push plate kiln, the heat energy consumption information Q of the push plate kiln is first obtained. 消耗，i This information can be obtained by calculating the heat balance of the push plate kiln previously. Then, according to the type of fuel used in each area, the carbon emission factor F is determined. 能源，i，By querying the standard carbon emission factor data of the corresponding fuel, such as the carbon emission factors of different energy sources such as natural gas, coal and electricity, according to the proportion of fuel used in the region and fuel consumption, combined with the heat energy consumption information Q 消耗，i , calculate the carbon emissions caused by energy consumption, and then obtain the non-combustion carbon leakage L in each area 泄漏，i By monitoring the sealing of each emission path of the kiln and the leakage of the equipment in operation, for example, by installing leakage monitoring sensors (such as CO2 and CH4 sensors) to collect the gas leakage of each path, combined with the leakage correction coefficient α, the carbon leakage value is adjusted to obtain the non-combustion carbon leakage contribution, and at the same time, the specific pollutant emission factor ξ of each area is obtained. 排放因子，i By monitoring the concentration of pollutants in the exhaust gas, such as SOx, NOx and fine particulate matter, and combining the treatment efficiency of pollutants in the area, the impact of specific pollutants on carbon emissions is calculated. Finally, the calculation results of the above three parts are substituted into the formula, and the carbon emission contribution value of each area of ​​the push-plate kiln is obtained by accumulating them item by item.

[0043] In one embodiment, if Figure 4 As shown, in step S50, the operating parameters of each area of ​​the push plate kiln are optimized by a feedback control algorithm according to the carbon emission deviation result, including: S501: Obtain the heat energy input deviation result of the high carbon emission area from the carbon emission deviation result, and reduce the power and operation time of the heating equipment in the high carbon emission area according to the heat energy input deviation result to reduce the heat energy input.

[0044] Specifically, by analyzing the carbon emission deviation results, areas where carbon emissions exceed the threshold are identified, the heat energy input in the area is compared with the set ideal heat energy input value, and the heat energy input deviation result is calculated. Subsequently, the control parameters of the heating equipment are used to dynamically adjust the heating power. Specifically, the fuel supply rate of the burner is reduced or the power setting value of the electric heating equipment is adjusted to reduce the heat output per unit time. At the same time, the operating time of the equipment is shortened. By modifying the working cycle of the equipment or the start and stop duration of the heating stage, the total heat energy input gradually approaches the ideal value. After the adjustment, the actual heat output of the equipment is monitored in real time and compared with the deviation result again to ensure that the adjustment is effectively completed.

[0045] S502: Obtain a heat output deviation result from the carbon emission deviation result, and adjust the gas flow rate and exhaust path of each area according to the heat output deviation result to extend the residence time of the high-temperature exhaust gas.

[0046] Specifically, by analyzing the numerical deviation related to heat energy output in the carbon emission deviation results, identifying the high-value carbon emission areas caused by heat energy loss, and extracting the deviation information of the exhaust flow rate and the exhaust path, then adjusting the flow rate setting value of the exhaust device in the corresponding area, and extending the residence time of the high-temperature exhaust gas in the kiln by reducing the exhaust flow rate, so that the exhaust gas heat can be more transferred to the material in the kiln or absorbed by the waste heat recovery equipment. At the same time, the distribution of the exhaust path is modified according to the deviation results, and the high-temperature exhaust gas is preferentially guided to flow through the low-temperature material area to further improve the heat recovery efficiency. The exhaust path is optimized by adjusting the exhaust valve opening and the flow control valve setting value until the deviation result approaches the ideal range.

[0047] S503: Obtaining the operation time deviation result from the carbon emission deviation result, and adjusting the time distribution of each area in the heating stage, the maintenance stage and the cooling stage according to the operation time deviation result.

[0048] Specifically, by analyzing the carbon emission deviation results, the deviation information related to the operating time of each area is extracted, the actual operating time is compared with the ideal allocation time, and the time deviations of the heating stage, maintenance stage and cooling stage are identified respectively. Subsequently, the operating time of the heating stage is adjusted, and the heat energy distribution in the heating stage is made more balanced by modifying the opening time of the heating equipment or the feeding speed of the push plate. In the maintenance stage, the residence time of the material in the constant temperature area is adjusted according to the deviation results, and the movement frequency or step distance of the push plate is modified to ensure that the material completes the heat treatment within the optimal time range. In the cooling stage, the cooling time is optimized according to the deviation results, and the cooling wind speed or material movement speed of the cooling equipment is adjusted to ensure that the cooling process is sufficient and there is no heat waste. Finally, according to the adjusted time distribution, the operating time of each stage is re-monitored and compared with the deviation results to ensure that the adjustment achieves the expected goal.

[0049] In one embodiment, if Figure 5 As shown, in step S50, the operation parameters of each area of ​​the push plate kiln are optimized by a feedback control algorithm according to the carbon emission deviation result, and also include: S51: Based on the carbon emission deviation result, the regional coordination deviation result is obtained. According to the regional coordination deviation result, the operating state of each region is adjusted when controlling the operating parameters to comprehensively balance the heat energy distribution and gas flow.

[0050] Specifically, through the global analysis of the carbon emission deviation results, the coordination deviation results of each region are calculated. Specifically, the heat energy input, heat energy output and exhaust flow rate of each region are compared one by one, and the problems of uneven heat energy distribution and unbalanced gas flow between regions are identified. The deviation results are calculated in combination with the synergy indicators between regions to determine the difference range between high heat energy consumption areas and low heat energy consumption areas. Subsequently, according to the regional coordination deviation results, the operating parameters of the high heat energy consumption area are adjusted first, such as reducing the fuel supply rate or heating equipment power in the high heat energy area, while increasing the input of the low heat energy area to ensure that the overall heat energy distribution tends to be balanced. In terms of gas flow, according to the coordination deviation of the gas flow rate and the exhaust path, the fan speed and valve opening of the exhaust system are dynamically adjusted. By reducing the flow rate in the high exhaust velocity area, the gas residence time in the key heat recovery area is extended, and the gas flow is guided to the low exhaust velocity area, thereby optimizing the gas circulation. In the adjustment process, by real-time monitoring of the temperature distribution and exhaust parameters of each area, the adjusted heat energy and gas distribution state is fed back, and the adjustment is further refined until the overall operating state is balanced.

[0051] In one embodiment, if Figure 6 As shown, in step S51, the comprehensive balance of heat energy distribution and gas flow includes: S511: Acquire real-time operation information of each area, analyze the thermal energy utilization efficiency and gas flow uniformity of each area according to the real-time operation information of each area, and obtain the analysis results of the unbalanced area.

[0052] Specifically, by arranging temperature sensors, heat flux density sensors, gas flow rate monitoring devices and exhaust concentration analysis equipment in each area of ​​the push plate kiln, real-time operation information of each area of ​​the push plate kiln is collected, including temperature distribution, heat flux transfer, fuel consumption data, exhaust velocity and gas component concentration of each area, and these real-time operation information are transmitted to the central data processing module. According to the heat input and heat loss of each area, the thermal energy utilization efficiency of each area is calculated, and by comparing the thermal energy utilization efficiency with the standard value, the area with low thermal energy utilization efficiency is identified. Combined with the gas flow rate data of each area and the spatial distribution of exhaust components, the flow uniformity of gas in each area of ​​the push plate kiln is analyzed. By calculating the flow rate difference and the gas distribution uniformity index, the area with uneven gas flow is determined. Finally, combined with the analysis results of thermal energy utilization efficiency and gas flow uniformity, specific markings of uneven areas and deviation reports of operating parameters are formed.

[0053] S512: Based on the analysis results of the unbalanced areas, the heat energy input parameters are adjusted preferentially to achieve a balance in heat energy distribution by reducing the power and operating time of the high heat energy input areas and increasing the power of the low heat energy input areas.

[0054] Specifically, based on the analysis results of the unbalanced areas, high thermal energy input areas and low thermal energy input areas are identified, and the deviation of the high thermal energy input area is calculated by comparing the thermal energy input parameters of the high thermal energy input area with the ideal input values. Subsequently, the fuel flow rate in the high thermal energy input area is reduced by controlling the fuel supply equipment in the high thermal energy input area, thereby reducing the fuel consumption in the high thermal energy input area. At the same time, the operating parameters of the electric heating equipment in the high thermal energy input area are adjusted, and the total thermal input in the high thermal energy input area is reduced by reducing the equipment power setting value in the high thermal energy input area and shortening the equipment working time in the high thermal energy input area. For the low thermal energy input area, the fuel supply flow rate in the low thermal energy input area is increased, and the total fuel input in the low thermal energy input area is increased. At the same time, the power setting value of the heating equipment in the low thermal energy input area is increased and the equipment working time in the low thermal energy input area is extended to improve the heat output level of the low thermal energy input area. By real-time monitoring the adjusted thermal energy input, the total thermal energy distribution state of the high thermal energy input area and the low thermal energy input area is gradually balanced.

[0055] S513: According to the analysis results of the unbalanced areas, the gas flow parameters are adjusted to achieve uniformity of gas flow by redistributing the gas flow volume in each area, reducing the exhaust speed in the high emission area, controlling the flow direction of the gas in the low emission area, and optimizing the gas circulation efficiency in the kiln.

[0056] Specifically, based on the analysis results of the unbalanced area, the gas flow velocity deviation data and exhaust path information of the high emission area are extracted, and the exhaust velocity exceeding the standard in the high emission area is analyzed. By adjusting the exhaust equipment operating parameters in the high emission area, the fan speed in the high emission area is reduced, and the gas emission velocity in the high emission area is reduced. At the same time, by adjusting the exhaust valve opening in the high emission area, the gas emission in the high emission area is limited, the residence time of the high-temperature exhaust gas in the high emission area is extended, and the recovery and utilization efficiency of the exhaust gas heat in the high emission area is increased. For the low emission area, the gas flow direction of the low emission area is readjusted, and the high-temperature exhaust gas is guided into the low emission area by optimizing the guide device and the exhaust path setting in the low emission area, so as to improve the heat absorption and utilization rate of the low emission area. After the adjustment is completed, the gas flow velocity distribution and exhaust concentration in the high emission area and the low emission area are monitored in real time, and the exhaust parameters are corrected for the second time until the gas flow uniformity meets the target requirements.

[0057] In one embodiment, if Figure 7 As shown, in step S50, after the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the optimized carbon emission contribution value of each area of ​​the push plate kiln is obtained, and the optimized carbon emission contribution value of each area of ​​the push plate kiln is accumulated to obtain the total carbon footprint value of the push plate kiln, including: S52: After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the carbon emissions generated by the heat energy consumption in each area are calculated by the following formula: , where Q 区域，i is the heat energy consumption information of each area of ​​the push plate kiln after the operation parameters are optimized, F 能源，i represents the carbon emission factor of energy used in each region, E 热能，i It is the carbon emission generated by heat energy consumption in each region.

[0058] Specifically, by optimizing the heat energy consumption data Q of each area 区域，i First, the heat energy consumption value of each area after the operation parameter optimization is extracted. This value is generated by the heat energy distribution monitoring device and the operation parameter control module, representing the total heat energy actually consumed by each area after optimization. At the same time, the carbon emission factor F corresponding to the energy type used in each area is queried from the energy database. 能源，i For example, the carbon emission factor of natural gas is 2.75 kgCO 2 / MJ, the carbon emission factor of coal is 3.96kgCO 2 / MJ, the carbon emission factor of electricity is dynamically updated according to the power supply structure, the extracted heat energy consumption data is multiplied by the carbon emission factor of the corresponding energy one by one, the carbon emissions generated by heat energy consumption in each region are calculated, the individual carbon emission calculation of each region is completed, and finally the carbon emission data E generated by heat energy consumption is generated 热能，i .

[0059] S53: After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the carbon emissions generated by exhaust gas emissions in each area are calculated by the following formula: , where V 气体，i is the optimized gas flow parameter, C 气体成分，i is the gas component concentration in the exhaust gas, M 排气量，i is the exhaust volume, η 废气，i is the waste gas recovery efficiency, F 排气因子，i is the carbon emission factor, E 废气，i It is the carbon emission caused by exhaust gas emission in each region.

[0060] Specifically, the exhaust flow data M after the operation parameters are optimized is extracted. 排气量，i and gas flow parameter V 气体，i The optimized exhaust gas emission and flow rate are recorded by the exhaust gas monitoring device, and the main gas component concentration C in the exhaust gas of each area is obtained by combining the exhaust gas component analyzer. 气体成分，i , such as CO 2 , CH 4 and NOx concentration values, and at the same time, the data recording module of the exhaust gas recovery equipment is used to obtain the exhaust gas recovery efficiency η 废气，i, reflects the heat energy utilization rate of high-temperature exhaust gas after recovery in each area, ensures more accurate calculation of the unused exhaust gas, and extracts the carbon emission factor F of each gas component from the exhaust factor database 排气因子，i , such as CO 2 The emission factor is 1, CH 4 The emission factor is 25. According to the global warming potential (GWP), the gas flow rate, gas concentration, exhaust volume, unutilized efficiency and exhaust factor are substituted into the formula to calculate the carbon emissions E generated by exhaust gas emissions in each region one by one. 废气，i .

[0061] S54: The carbon emissions generated by heat energy consumption and exhaust gas emissions in each region are added together by the following formula to obtain the optimized carbon emission contribution value of each region: , where E 区域，i Optimized carbon emission contribution value for each region.

[0062] Specifically, the heat energy consumption carbon emissions E 热能，i and exhaust carbon emissions E 废气，i , add them one by one in the data processing module, combine the carbon emissions generated by heat energy consumption and exhaust gas emissions in each region, and form the optimized carbon emission contribution value E of each region 区域，i ,During the calculation process, the calculation results of different regions are compared and analyzed to identify the regions with higher carbon emission contribution values, and the optimized carbon emission contribution data of each region are recorded to provide a basis for the subsequent overall cumulative calculation.

[0063] S55: The total carbon footprint of the push plate kiln is obtained by adding up the optimized carbon emission contribution values ​​of each region through the following formula: , where E 总 is the total carbon footprint value of the push plate kiln.

[0064] Specifically, the optimized carbon emission contribution value E of all regions 区域，i Add them up one by one to calculate the total carbon footprint value E of the push plate kiln 总 .

[0065] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0066] In one embodiment, a push plate kiln carbon emission optimization and energy efficiency evaluation device is provided, and the push plate kiln carbon emission optimization and energy efficiency evaluation device corresponds to the push plate kiln carbon emission optimization and energy efficiency evaluation method in the above embodiment. Figure 8As shown, the push plate kiln carbon emission optimization and energy efficiency evaluation device includes a heat energy distribution acquisition module, a carbon footprint calculation module, a carbon emission deviation analysis module, an operation parameter optimization module, a total carbon footprint calculation module and an energy efficiency evaluation and report generation module. The detailed description of each functional module is as follows: The heat energy distribution acquisition module is used to obtain the heat energy distribution information of the push plate kiln; The carbon footprint calculation module is used to calculate the heat energy balance of the push plate kiln heat energy distribution information to obtain the push plate kiln heat energy consumption information; The carbon emission deviation analysis module is used to input the heat energy consumption information of the push plate kiln into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln; The operating parameter optimization module is used to compare the carbon emission contribution value of each area of ​​the push plate kiln with the preset carbon emission threshold to obtain the carbon emission deviation result; The total carbon footprint calculation module is used to optimize the operating parameters of each area of ​​the push plate kiln through a feedback control algorithm according to the carbon emission deviation results. After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the carbon emission contribution value of each area of ​​the push plate kiln after optimization is obtained. The carbon emission contribution value of each area of ​​the push plate kiln after optimization is accumulated to obtain the total carbon footprint value of the push plate kiln; The energy efficiency assessment and report generation module is used to compare the total carbon footprint value of the push-plate kiln with the global carbon emission target value to generate the final energy consumption assessment result. Based on the energy consumption assessment result, the overall energy efficiency of the push-plate kiln is comprehensively analyzed to generate the kiln energy consumption and carbon emission assessment report.

[0067] Optional carbon footprint calculation module includes: The push plate kiln heat energy consumption calculation submodule is used to calculate the push plate kiln heat energy consumption information through the following formula: , where Q 总消耗，i To push the heat energy consumption information of the kiln, Q 输入，i is the heat input of each area, Q 输出，i is the heat loss of each area, β is the temperature difference correction coefficient, ΔT 不均匀 is the temperature distribution difference between the regions, γ is the surface area correction factor f(A 表面 ) is a nonlinear function.

[0068] Optional carbon footprint calculation module includes: The carbon emission contribution calculation submodule is used in the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln based on the following formula: , where C 区域，i represents the carbon emission contribution value of each area of ​​the push plate kiln, Q 消耗，i Indicates the heat energy consumption information of the push plate kiln, F 能源，i represents the carbon emission factor of energy used in each region, L泄漏，i represents the non-combustion carbon leakage in each area, α represents the leakage correction coefficient, and ξ 排放因子，i Represents the emission factors of specific pollutants in each region.

[0069] Optional, total carbon footprint calculation module includes: The heat energy input optimization submodule is used to obtain the heat energy input deviation results of the high carbon emission area from the carbon emission deviation results, and according to the heat energy input deviation results, reduce the power and operation time of the heating equipment in the high carbon emission area to reduce the heat energy input; The heat output regulation submodule is used to obtain the heat output deviation result from the carbon emission deviation result, and adjust the gas flow rate and exhaust path of each area according to the heat output deviation result to extend the retention time of high-temperature exhaust gas; The running time distribution optimization submodule is used to obtain the running time deviation result from the carbon emission deviation result, and adjust the time distribution of each area in the heating stage, maintenance stage and cooling stage according to the running time deviation result.

[0070] Optionally, the total carbon footprint calculation module also includes: The regional coordination optimization module is used to obtain the regional coordination deviation results based on the carbon emission deviation results. According to the regional coordination deviation results, the operating status of each region is adjusted when controlling the operating parameters to comprehensively balance the heat energy distribution and gas flow.

[0071] Optional, regional coordination optimization module includes: The real-time operation information analysis submodule is used to obtain the real-time operation information of each area, analyze the thermal energy utilization efficiency and gas flow uniformity of each area according to the real-time operation information of each area, and obtain the analysis results of the unbalanced area; The heat input balance adjustment submodule is used to adjust the heat input parameters in priority according to the analysis results of the unbalanced areas, so as to achieve the balance of heat energy distribution by reducing the power and operation time of the high heat input area and increasing the power of the low heat input area; The gas flow optimization submodule is used to adjust the gas flow parameters according to the analysis results of the unbalanced areas, redistribute the gas flow volume in each area, reduce the exhaust speed in the high emission area, control the flow direction of the gas in the low emission area, and optimize the gas circulation efficiency in the kiln to achieve uniformity of gas flow.

[0072] Optional, regional coordination optimization module includes: The heat energy consumption carbon emission calculation submodule is used to calculate the carbon emissions generated by heat energy consumption in each area through the following formula after the optimization of the operating parameters of each area of ​​the push plate kiln is completed: , where Q 区域，iis the heat energy consumption information of each area of ​​the push plate kiln after the operation parameters are optimized, F 能源，i represents the carbon emission factor of energy used in each region, E 热能，i is the carbon emissions generated by heat energy consumption in each region; The waste gas emission carbon emission calculation submodule is used to calculate the carbon emissions generated by waste gas emissions in each area through the following formula after the optimization of the operating parameters of each area of ​​the push plate kiln is completed: , where V 气体，i is the optimized gas flow parameter, C 气体成分，i is the gas component concentration in the exhaust gas, M 排气量，i is the exhaust volume, η 废气，i is the waste gas recovery efficiency, F 排气因子，i is the carbon emission factor, E 废气，i is the carbon emissions generated by exhaust gas emissions in each region; The regional carbon emission contribution calculation submodule is used to add the carbon emissions generated by heat energy consumption and exhaust gas emissions in each region through the following formula to obtain the optimized carbon emission contribution value of each region: , where E 区域，i Optimized carbon emission contribution value for each region; The total carbon footprint calculation submodule is used to accumulate the optimized carbon emission contribution values ​​of each region through the following formula to obtain the total carbon footprint value of the push plate kiln: , where E 总 is the total carbon footprint value of the push plate kiln.

[0073] For the specific definition of the push plate kiln carbon emission optimization and energy efficiency evaluation device, please refer to the definition of the push plate kiln carbon emission optimization and energy efficiency evaluation method mentioned above, which will not be repeated here. Each module in the above-mentioned push plate kiln carbon emission optimization and energy efficiency evaluation device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0074] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for an energy database. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for carbon emission optimization and energy efficiency evaluation of a push plate kiln is implemented.

[0075] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Get the heat energy distribution information of push plate kiln; The heat energy distribution information of the push plate kiln is used for heat energy balance calculation to obtain the heat energy consumption information of the push plate kiln; The heat energy consumption information of the push-plate kiln is input into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push-plate kiln; Compare the carbon emission contribution value of each area of ​​the push plate kiln with the preset carbon emission threshold to obtain the carbon emission deviation result; According to the carbon emission deviation results, the operating parameters of each area of ​​the push plate kiln are optimized through the feedback control algorithm. After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the carbon emission contribution value of each area of ​​the push plate kiln after optimization is obtained. The carbon emission contribution value of each area of ​​the push plate kiln after optimization is accumulated to obtain the total carbon footprint value of the push plate kiln. The total carbon footprint value of the push-plate kiln is compared with the global carbon emission target value to generate the final energy consumption assessment result. Based on the energy consumption assessment result, the overall energy efficiency of the push-plate kiln is comprehensively analyzed to generate the kiln energy consumption and carbon emission assessment report.

[0076] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Get the heat energy distribution information of push plate kiln; The heat energy distribution information of the push plate kiln is used for heat energy balance calculation to obtain the heat energy consumption information of the push plate kiln; The heat energy consumption information of the push-plate kiln is input into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push-plate kiln; Compare the carbon emission contribution value of each area of ​​the push plate kiln with the preset carbon emission threshold to obtain the carbon emission deviation result; According to the carbon emission deviation results, the operating parameters of each area of ​​the push plate kiln are optimized through the feedback control algorithm. After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the carbon emission contribution value of each area of ​​the push plate kiln after optimization is obtained. The carbon emission contribution value of each area of ​​the push plate kiln after optimization is accumulated to obtain the total carbon footprint value of the push plate kiln. The total carbon footprint value of the push-plate kiln is compared with the global carbon emission target value to generate the final energy consumption assessment result. Based on the energy consumption assessment result, the overall energy efficiency of the push-plate kiln is comprehensively analyzed to generate the kiln energy consumption and carbon emission assessment report.

[0077] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0078] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0079] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for carbon emission optimization and energy efficiency evaluation of a push plate kiln, characterized in that: The push plate kiln carbon emission optimization and energy efficiency evaluation method includes: Get the heat energy distribution information of push plate kiln; Performing heat energy balance calculation on the heat energy distribution information of the push plate kiln to obtain heat energy consumption information of the push plate kiln; Inputting the heat energy consumption information of the push plate kiln into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln; Compare the carbon emission contribution value of each area of ​​the push plate kiln with the preset carbon emission threshold to obtain the carbon emission deviation result; According to the carbon emission deviation result, the operating parameters of each area of ​​the push plate kiln are optimized by a feedback control algorithm. After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the optimized carbon emission contribution value of each area of ​​the push plate kiln is obtained, and the carbon emission contribution value of each area of ​​the push plate kiln after the optimization is accumulated to obtain the total carbon footprint value of the push plate kiln; The total carbon footprint value of the push-plate kiln is compared with the global carbon emission target value to generate a final energy consumption assessment result. Based on the energy consumption assessment result, the overall energy efficiency of the push-plate kiln is comprehensively analyzed to generate a kiln energy consumption and carbon emission assessment report.

2. The push plate kiln carbon emission optimization and energy efficiency evaluation method according to claim 1 is characterized in that: The heat energy distribution information of the push plate kiln is subjected to heat energy balance calculation to obtain heat energy consumption information of the push plate kiln, including: The heat energy consumption information of the push plate kiln is calculated by the following formula: , where Q 总消耗，i is the heat energy consumption information of the push plate kiln, and the Q 输入，i is the heat input to each area, the Q 输出，i is the heat loss of each area, β is the temperature difference correction coefficient, and ΔT 不均匀 is the temperature distribution difference between the regions, γ is the surface area correction coefficient, and f(A 表面 ) is a nonlinear function.

3. The method for carbon emission optimization and energy efficiency evaluation of a push plate kiln according to claim 1, characterized in that: The heat energy consumption information of the push plate kiln is input into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln, including: The carbon footprint calculation model obtains the carbon emission contribution value of each area of ​​the push plate kiln based on the following formula: , wherein the C 区域，i represents the carbon emission contribution value of each area of ​​the push plate kiln, and the Q 消耗，i Indicates the heat energy consumption information of the push plate kiln, the F 能源，i represents the carbon emission factor of energy used in each region, L 泄漏，i represents the non-combustion carbon leakage in each area, α represents the leakage correction coefficient, and ξ 排放因子，i Represents the emission factors of specific pollutants in each region.

4. The method for carbon emission optimization and energy efficiency evaluation of a push plate kiln according to claim 1, characterized in that: According to the carbon emission deviation result, the operating parameters of each area of ​​the push plate kiln are optimized by a feedback control algorithm, including: Obtaining a heat energy input deviation result of a high carbon emission area from the carbon emission deviation result, and reducing the power and operation time of heating equipment in the high carbon emission area according to the heat energy input deviation result to reduce heat energy input; Obtaining a heat output deviation result from the carbon emission deviation result, and adjusting the gas flow rate and exhaust path of each area according to the heat output deviation result to extend the retention time of the high-temperature exhaust gas; The operation time deviation result is obtained from the carbon emission deviation result, and the time distribution of each area in the heating stage, the maintenance stage and the cooling stage is adjusted according to the operation time deviation result.

5. The method for carbon emission optimization and energy efficiency evaluation of a push plate kiln according to claim 1, characterized in that: The optimizing the operating parameters of each area of ​​the push plate kiln by a feedback control algorithm according to the carbon emission deviation result also includes: Based on the carbon emission deviation result, a regional coordination deviation result is obtained. According to the regional coordination deviation result, the operating state of each area is adjusted when controlling the operating parameters to comprehensively balance the heat energy distribution and gas flow.

6. The push plate kiln carbon emission optimization and energy efficiency evaluation method according to claim 5 is characterized in that: The comprehensive balance of heat energy distribution and gas flow includes: Acquire real-time operation information of each area, analyze the thermal energy utilization efficiency and gas flow uniformity of each area according to the real-time operation information of each area, and obtain analysis results of the unbalanced area; According to the analysis results of the imbalanced areas, the heat input parameters are adjusted preferentially to achieve a balance in heat energy distribution by reducing the power and operation time of the high heat input areas and increasing the power of the low heat input areas; According to the analysis results of the unbalanced areas, the gas flow parameters are adjusted, the gas flow amount of each area is redistributed, the exhaust speed in the high emission area is reduced, the flow direction of the gas in the low emission area is controlled, and the gas circulation efficiency in the kiln is optimized to achieve uniformity of gas flow.

7. The push plate kiln carbon emission optimization and energy efficiency evaluation method according to claim 1 is characterized in that: After the optimization of the operating parameters of each area of ​​the push plate kiln is completed, the carbon emission contribution value of each area of ​​the push plate kiln after optimization is obtained, and the carbon emission contribution value of each area of ​​the push plate kiln after optimization is accumulated to obtain the total carbon footprint value of the push plate kiln, including: After completing the optimization of the operating parameters of each area of ​​the push plate kiln, the carbon emissions generated by heat energy consumption in each area are calculated by the following formula: , where Q 区域，i is the heat energy consumption information of each area of ​​the push plate kiln after the operation parameters are optimized. 能源，i represents the carbon emission factor of energy used in each region, where E 热能，i is the carbon emissions generated by heat energy consumption in each area; After completing the optimization of the operating parameters of each area of ​​the push plate kiln, the carbon emissions generated by exhaust gas emissions in each area are calculated by the following formula: , wherein the V 气体，i is the optimized gas flow parameter, the C 气体成分，i is the gas component concentration in the exhaust gas, the M 排气量，i is the exhaust volume, the η 废气，i is the waste gas recovery efficiency, the F 排气因子，i is the carbon emission factor, the E 废气，i is the carbon emissions generated by exhaust gas emissions in each of the areas mentioned; The carbon emissions generated by heat energy consumption and exhaust gas emissions in each region are added together to obtain the optimized carbon emission contribution value of each region through the following formula: , wherein E 区域，i The optimized carbon emission contribution value of each region; The total carbon footprint of the push plate kiln is obtained by adding up the optimized carbon emission contribution values ​​of each area through the following formula: , wherein the E 总 is the total carbon footprint value of the push plate kiln.

8. A push plate kiln carbon emission optimization and energy efficiency evaluation device, characterized in that: The push plate kiln carbon emission optimization and energy efficiency evaluation device comprises: The heat energy distribution acquisition module is used to obtain the heat energy distribution information of the push plate kiln; A carbon footprint calculation module, used for performing heat balance calculation on the heat energy distribution information of the push plate kiln to obtain heat energy consumption information of the push plate kiln; A carbon emission deviation analysis module is used to input the heat energy consumption information of the push plate kiln into the carbon footprint calculation model to obtain the carbon emission contribution value of each area of ​​the push plate kiln; An operating parameter optimization module is used to compare the carbon emission contribution value of each area of ​​the push plate kiln with a preset carbon emission threshold to obtain a carbon emission deviation result; A total carbon footprint calculation module is used to optimize the operating parameters of each area of ​​the push plate kiln through a feedback control algorithm according to the carbon emission deviation result, and after completing the optimization of the operating parameters of each area of ​​the push plate kiln, obtain the optimized carbon emission contribution value of each area of ​​the push plate kiln, and accumulate the optimized carbon emission contribution values ​​of each area of ​​the push plate kiln to obtain the total carbon footprint value of the push plate kiln; The energy efficiency evaluation and report generation module is used to compare the total carbon footprint value of the push plate kiln with the global carbon emission target value to generate a final energy consumption evaluation result. According to the energy consumption evaluation result, the overall energy efficiency of the push plate kiln is comprehensively analyzed to generate a kiln energy consumption and carbon emission evaluation report.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the push plate kiln carbon emission optimization and energy efficiency evaluation method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the push plate kiln carbon emission optimization and energy efficiency evaluation method as described in any one of claims 1 to 7 are implemented.

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