Intelligent Perception and Calculation Method and System for Carbon Emissions of Cement Enterprises Based on Cloud-Edge Collaboration

Abstract

The present invention provides a method and system for intelligent perception and calculation of carbon emissions in cement enterprises based on cloud-edge collaboration, which relates to the technical field of carbon emission monitoring. The method includes: the edge side obtains initial monitoring data in real time based on a carbon dioxide monitoring unit and sends the initial monitoring data to the cloud; the edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model; the edge side determines a carbon emission report of the cement enterprise based on the first processed data and sends the carbon emission report to the cloud; the cloud determines the carbon emission quota of the cement enterprise for the next time period based on the initial monitoring data and the carbon emission report. Based on the above processing, the edge side collects carbon emission data in real time, improving the accuracy of the obtained carbon emission data. The cloud further conducts data analysis and uses intelligent technologies to perceive the dynamic changes of carbon emissions in real time to support the cement enterprise in formulating a more accurate carbon trading plan.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission monitoring, and particularly to an intelligent perception calculation method and system for carbon emissions of cement enterprises based on cloud-edge collaboration. Background Art

[0002] Cement enterprises belong to one of the energy-intensive industries with high pollution and high carbon emissions, and are also one of the key carbon emission enterprises. Their total carbon dioxide emissions are second only to the power and steel industries. Therefore, promoting the low-carbon emission reduction process of cement enterprises plays a very important role in achieving the carbon neutrality goal.

[0003] At present, most cement enterprises carry out verification work based on third-party verification agencies to obtain relevant carbon emission data, and the data accuracy is difficult to guarantee. Some cement enterprises use the actual measurement method to measure the flue gas concentration and flow rate through existing flue gas measurement equipment, and then calculate the carbon dioxide emissions. Since the uncertainty of the concentration and flow rate is relatively high when measuring the flue gas concentration and flow rate, the accuracy of the measurement results is relatively low. Based on the above factors, the accuracy of the carbon emission data of cement enterprises obtained in the prior art is relatively low.

[0004] Therefore, there is an urgent need for an intelligent perception calculation method for carbon emissions of cement enterprises to solve the above problems. Summary of the Invention

[0005] (I) Technical Problems to be Solved

[0006] Aiming at the deficiencies of the prior art, the present invention provides an intelligent perception calculation method and system for carbon emissions of cement enterprises based on cloud-edge collaboration, and solves the technical problem that the accuracy of the carbon emission data of cement enterprises obtained in the prior art is relatively low.

[0007] (II) Technical Solutions

[0008] To achieve the above object, the present invention is realized through the following technical solutions:

[0009] In the first aspect of the present invention, an intelligent perception calculation method for carbon emissions of cement enterprises based on cloud-edge collaboration is provided. The method includes:

[0010] The edge side obtains initial monitoring data in real time based on a carbon dioxide monitoring unit, and sends the initial monitoring data to the cloud;

[0011] The edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model;

[0012] The edge side determines a carbon emission report of the cement enterprise based on the first processed data, and sends the carbon emission report to the cloud;

[0013] Based on the initial monitoring data and the carbon emission report, the cloud determines the carbon emission quota for the next period of the cement enterprise.

[0014] Optionally, the preset processing model includes: the emission factor method, the material balance method, and the actual measurement method;

[0015] The formula for the emission factor method is: E = E 燃烧 + E 过程 ;

[0016] where E represents the total carbon dioxide emissions, E 燃烧 represents the carbon dioxide emissions generated during the fuel combustion process, and E 过程 represents the carbon dioxide emissions during the cement production process;

[0017] The calculation formula for the material balance method is:

[0018]

[0019] where E RT represents the amount of carbon dioxide during the accounting period of the cement enterprise, C 生料 represents the average carbon content of raw materials, G 生料 represents the raw material consumption of the cement enterprise; C 填料i represents the average carbon content of the i-th added material, G 填料i represents the consumption of the i-th added material of the cement enterprise, C 熟料 represents the average carbon content of clinker, G 熟料 represents the production volume of clinker of the cement enterprise, represents the ratio of the molecular weights of carbon dioxide and carbon;

[0020] The calculation formula for the actual measurement method is: E = Q × C × 10 -6 ;

[0021] where E represents the total greenhouse gas emissions, Q represents the flue gas flow rate, and C represents the measured concentration of greenhouse gases.

[0022] Optionally, the emission factor method includes:

[0023] The calculation formula for E 燃烧 is:

[0024] where i represents the type symbol of fossil fuels, AD i represents the activity data of the i-th fossil fuel, and EF i represents the carbon dioxide emission factor of the i-th fossil fuel;

[0025] The calculation formula for AD i is: AD i= FC i × NDV i ;

[0026] Wherein, FC i represents the consumption of the i-th fossil fuel combustion, and NDV i represents the net calorific value at the low heating value of the i-th fossil fuel;

[0027] The calculation formula of EF i is:

[0028] Wherein, OF i represents the carbon oxidation rate of the i-th fossil fuel, and CC i represents the carbon content per unit calorific value of the i-th fossil fuel;

[0029] The calculation formula of E 过程 is:

[0030] Wherein, Q represents the consumption of the produced clinker, FR1 represents the content of calcium oxide in the clinker, FR 10 represents the content of calcium oxide in the clinker except for the decomposition of carbonate, FR2 represents the content of magnesium oxide in the clinker, FR 20 represents the content of magnesium oxide in the clinker except for the decomposition of carbonate, represents the value of the ratio of carbon dioxide to calcium oxide, represents the value of the ratio of carbon dioxide to magnesium oxide.

[0031] Optionally, based on the initial monitoring data and a preset processing model, the edge device determines the processed initial monitoring data as the first processed data, including:

[0032] Based on the initial monitoring data, the edge device respectively determines the total carbon dioxide emissions corresponding to the emission factor method, the material balance method, and the actual measurement method;

[0033] Based on a preset analysis method, the edge device determines the total carbon dioxide emissions with the smallest data error among the emission factor method, the material balance method, and the actual measurement method as the first processed data.

[0034] Optionally, before the edge device respectively determines the total carbon dioxide emissions corresponding to the emission factor method, the material balance method, and the actual measurement method based on the initial monitoring data, the method further includes:

[0035] The edge device determines the carbon emission accounting boundary and carbon emission sources of the cement enterprise.

[0036] Optionally, after determining the processed initial monitoring data based on the initial monitoring data and a preset processing model at the edge side and using it as the first processed data, the method further includes:

[0037] The edge side determines whether the first processed data exceeds the warning threshold;

[0038] If so, the edge side prompts a warning to the cement enterprise.

[0039] Optionally, the cloud side determines the carbon emission quota for the next time period of the cement enterprise based on the initial monitoring data and the carbon emission report, including:

[0040] The cloud side receives the initial monitoring data and the carbon emission report sent by the edge side;

[0041] Based on the initial monitoring data, the carbon emission report, and the historical method, the cloud side determines the carbon emission quota for the next time period of the cement enterprise;

[0042] Among them, the carbon emission quota for the next time period includes monthly, quarterly, or annual carbon emission quotas; the calculation formula of the historical method is: Cement enterprise carbon emission quota = Historical emission base + Early emission reduction quota + New project quota.

[0043] Optionally, the method further includes:

[0044] Based on the initial monitoring data and the carbon emission report, the cloud side provides a visual interactive interface and a display interface for data tables;

[0045] Among them, the data tables include a cement enterprise information table, an emission information table, and a monitoring information table.

[0046] Optionally, the method further includes:

[0047] Based on the initial monitoring data and the carbon emission report, the cloud side performs joint data analysis with the edge side.

[0048] In the second aspect of the present invention, there is also provided a cloud-edge collaborative intelligent perception and calculation system for cement enterprise carbon emissions, and this system includes:

[0049] An edge side, which is used to obtain initial monitoring data in real time based on a carbon dioxide monitoring unit and send the initial monitoring data to the cloud side; the edge side determines the processed initial monitoring data based on the initial monitoring data and a preset processing model and uses it as the first processed data; based on the first processed data, determines the carbon emission report of the cement enterprise and sends the carbon emission report to the cloud side;

[0050] A cloud side, which is used to determine the carbon emission quota for the next time period of the cement enterprise based on the initial monitoring data and the carbon emission report.

[0051] (3) Beneficial effects

[0052] The present invention provides a method and system for intelligent perception and calculation of carbon emissions in cement enterprises based on cloud-edge collaboration. Compared with the prior art, the following beneficial effects are achieved:

[0053] The edge side obtains initial monitoring data in real time based on the carbon dioxide monitoring unit and sends the initial monitoring data to the cloud; the edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model; the edge side determines the carbon emission report of the cement enterprise based on the first processed data and sends the carbon emission report to the cloud; based on the initial monitoring data and the carbon emission report, the cloud determines the carbon emission quota of the cement enterprise for the next time period.

[0054] Based on the above processing, the edge side collects relevant data on carbon emissions in real time based on the carbon dioxide monitoring unit, improving the accuracy of the obtained carbon emission data. Then, the edge side uploads the processed carbon emission data to the cloud, where further data analysis is performed by the cloud to measure the carbon emission levels of individual cement enterprises from the overall industry dimension over a period of time, better utilizing intelligent technology to perceive the dynamic changes in carbon emissions in real time and supporting cement enterprises to formulate more accurate carbon trading plans. At the same time, this method makes full use of the advantages of cloud computing and edge device computing, providing a carbon emission measurement method that is more in line with the actual production situation of cement enterprises, making the carbon emission accounting in the production process of cement enterprises more accurate and complete, and providing a reference for the carbon emission control of cement enterprises. Description of the drawings

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0056] Figure 1 It is a flowchart of a method for intelligent perception and calculation of carbon emissions in cement enterprises based on cloud-edge collaboration provided by an embodiment of the present invention;

[0057] Figure 2 It is an overall design diagram of the collaboration between edge devices and the cloud provided by an embodiment of the present invention. Detailed implementation manners

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0059] The embodiments of the present application provide a method and system for intelligent perception and calculation of carbon emissions in cement enterprises based on cloud-edge collaboration, which solves the problem of low accuracy of carbon emission data obtained in the prior art, realizes the edge side to collect relevant data of carbon emissions in real time based on a carbon dioxide monitoring unit, and improves the accuracy of the obtained carbon emission data. Then, the edge side uploads the processed carbon emission data to the cloud, and the cloud further conducts data analysis to measure the carbon emission levels of each cement enterprise from the overall industry dimension over a period of time, better using intelligent technology to perceive the dynamic changes of carbon emissions in real time, and supporting cement enterprises to formulate carbon trading plans more accurately.

[0060] The overall idea of the technical solutions in the embodiments of the present application to solve the above technical problems is as follows:

[0061] Currently, most cement enterprises calculate the total amount of carbon dioxide emissions by using an accounting method, that is, multiplying activity data by emission factors or quantifying the total amount of carbon dioxide emissions by calculating the carbon mass balance in the production process. Among them, most of the data used in the above calculation process comes from third-party verification agencies, and the accuracy of the data is difficult to guarantee.

[0062] At the same time, most cement enterprises use a single internationally common emission factor method to calculate the carbon dioxide emissions. However, in the calculation process based on the emission factor method, due to backward technology, the maximum emission amount is set, resulting in the carbon emission accounting result often being larger than the actual carbon emission, leading to low data accuracy and thus causing certain economic losses.

[0063] In the prior art, when measuring the concentration and flow rate of flue gas emissions, since the uncertainty of the concentration and flow rate is relatively high, the accuracy of the measurement result is low, and thus the accuracy of the initial data of carbon dioxide obtained is low.

[0064] In cement enterprises, a complete and mature method and system for intelligent perception and calculation of carbon emissions have not been established yet to monitor and account for the carbon dioxide emissions.

[0065] Therefore, establishing a complete and mature intelligent carbon emission perception and calculation method and system can better utilize intelligent technologies to perceive the dynamic changes of carbon emissions in real time, provide effective data support for the carbon emission verification work of cement enterprises, and can provide relevant experience and data support for the energy consumption monitoring of cement enterprises.

[0066] To solve the above technical problems, the present invention provides a cloud-edge collaborative intelligent carbon emission perception and calculation method and system for cement enterprises. By the edge side, relevant data of carbon emissions are collected in real time based on a carbon dioxide monitoring unit, improving the accuracy of the obtained carbon emission data. At the same time, this technical solution makes full use of the advantages of cloud computing and edge device computing, provides a carbon emission measurement method more in line with the actual production situation for cement enterprises, makes the calculation of carbon emissions during the production process of cement enterprises more accurate and perfect, and provides a reference for the carbon emission control of cement enterprises.

[0067] To better understand the above technical solution, the following will describe the above technical solution in detail in combination with the accompanying drawings of the specification and specific implementation manners.

[0068] See Figure 1 , Figure 1 is a flowchart of an intelligent carbon emission perception and calculation method for cement enterprises based on cloud-edge collaboration provided by an embodiment of the present invention. As Figure 1 shown, the method includes:

[0069] S1. The edge side obtains initial monitoring data in real time based on the carbon dioxide monitoring unit and sends the initial monitoring data to the cloud.

[0070] S2. The edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model.

[0071] S3. The edge side determines a carbon emission report of the cement enterprise based on the first processed data and sends the carbon emission report to the cloud.

[0072] S4. The cloud determines the carbon emission quota of the cement enterprise for the next time period based on the initial monitoring data and the carbon emission report.

[0073] Based on the above processing, the edge device collects relevant data on carbon emissions in real time through the carbon dioxide monitoring unit, improving the accuracy of the obtained carbon emission data. Then, the edge device uploads the processed carbon emission data to the cloud, where further data analysis is carried out to measure the carbon emission levels of individual cement enterprises over a period of time from the overall industry dimension, better using intelligent technology to perceive the dynamic changes in carbon emissions in real time and supporting cement enterprises to formulate carbon trading plans more accurately. At the same time, the advantages of cloud computing and edge device computing are fully utilized to provide a carbon emission measurement method that is more in line with the actual production situation of cement enterprises, making the calculation of carbon emissions during the production process of cement enterprises more accurate and complete, and providing a reference for the carbon emission control of cement enterprises.

[0074] For step S1, a carbon dioxide monitoring unit is added to the CEMS (Continuous Emission Monitoring System) of the cement enterprise. Then, based on the actual measurement method, the carbon dioxide monitoring unit continuously monitors the carbon dioxide emissions of the cement enterprise to obtain initial monitoring data such as carbon dioxide emissions, flue gas concentration, flow rate, and temperature in real time. Among them, the actual measurement method refers to using relevant equipment to actually measure the greenhouse gases actually emitted, measuring parameters such as the flow rate of the emitted flue gas and the concentration of greenhouse gases, and then calculating the actual greenhouse gas emissions of the enterprise.

[0075] The actual measurement method is mainly divided into on-line measurement and off-line measurement. On-line measurement means continuous measurement through equipment to provide real-time data of the required parameters. Off-line measurement refers to manual measurement and recording of the required parameters by workers carrying instruments over a period of time according to relevant standards. Compared with the two, the former has higher measurement accuracy, while the latter can only provide measurement data over a period of time, with low timeliness and high labor consumption. In the technical solution of the present invention, on-line measurement is used to obtain initial monitoring data in real time.

[0076] During the actual working process, the flue gas automatic monitoring tool (including the carbon dioxide monitoring unit) obtains the specific values of the monitoring parameters of the carbon dioxide emissions from fossil fuels, the carbon dioxide emissions from raw materials, the carbon dioxide emissions from net purchased electricity, and the carbon dioxide emissions from net purchased heat. Then, the carbon emission collection module at the edge device obtains the above specific values in the flue gas automatic monitoring tool. Then, the edge device uses network transmission to send the specific value to the cloud.

[0077] Based on the above processing, the edge device can obtain the initial monitoring data in real time, and then intuitively understand the real-time carbon dioxide emissions, reducing the related assumptions about the fuel characteristics of the emission source. At the same time, the edge device directly measures parameters such as the flue gas flow rate, carbon dioxide concentration, and humidity, and the obtained carbon dioxide emissions are more accurate than the calculated data, effectively improving the data accuracy of the obtained carbon dioxide emissions.

[0078] For step S2, the preset processing models include: the emission factor method, the material balance method, and the actual measurement method.

[0079] The formula for the emission factor method is: E = E 燃烧 + E 过程

[0080] where E represents the total carbon dioxide emissions, unit: tCO2; E 燃烧 represents the carbon dioxide emissions generated during the fuel combustion process, unit: tCO2; E 过程 represents the carbon dioxide emissions during the cement production process, unit: tCO2.

[0081] E 燃烧 The calculation formula is:

[0082] where i represents the type symbol of the fossil fuel, AD i represents the activity data of the i-th fossil fuel, unit: GJ; EF i represents the carbon dioxide emission factor of the i-th fossil fuel, unit: tCO2 / GJ.

[0083] AD i The activity data of the represented fossil fuel can be calculated by the product of the consumption of the fuel (mainly coal) and its lower calorific value. The calculation formula of AD i is: AD i = FC i × NDV i .

[0084] where FC i represents the consumption of the i-th fossil fuel during combustion, unit: t; NDV i represents the lower calorific value of the i-th fossil fuel, unit: t / GJ.

[0085] Based on the carbon oxidation rate (OF) and the carbon content per unit calorific value (CC), the calculation formula of EF i is:

[0086] where OF i represents the carbon oxidation rate of the i-th fossil fuel, expressed in %; CC iIt represents the carbon content per unit calorific value of the i-th fossil fuel, unit: tCO2 / GJ; It represents the molecular weight ratio of carbon dioxide to carbon.

[0087] To calculate the emission factor EF i , it is necessary to calculate the carbon content per unit calorific value of coal fuel combustion by actually measuring the calorific value and elemental carbon content of the consumed coal.

[0088]

[0089] Among them, C 煤炭 represents the elemental carbon content of the consumed coal, expressed in %.

[0090] The carbon oxidation rate (OF) is calculated through the formula as follows:

[0091]

[0092] Among them, G 残渣 represents the slag output, unit: t; C 残渣 represents the average carbon content of the slag, expressed in %; G 飞灰 represents the fly ash output, unit: t; C 飞灰 represents the average carbon content of the fly ash, expressed in %; η 除灰 represents the average dust removal efficiency of the used dust removal system, expressed in %.

[0093] The calculation formula of E 过程 is as follows:

[0094] Among them, Q represents the amount of clinker produced, unit: t; FR1 represents the content of calcium oxide in the clinker, expressed in %; FR 10 represents the content of calcium oxide in the clinker except for carbonate decomposition, expressed in %; FR2 represents the content of magnesium oxide in the clinker, expressed in %; FR 20 represents the content of magnesium oxide in the clinker except for carbonate decomposition, expressed in %; represents the value of the ratio of carbon dioxide to calcium oxide; represents the value of the ratio of carbon dioxide to magnesium oxide.

[0095] The calculation formula of the material balance method is:

[0096]

[0097] Among them, E RT represents the amount of carbon dioxide during the accounting period of the cement enterprise, unit: tCO2; C 生料 represents the average carbon content of the raw meal, expressed in %; G 生料Represents the raw material consumption of the cement enterprise, unit: t; C 填料i Represents the average carbon content of the i-th added material, expressed in %; G 填料i Represents the consumption of the i-th added material of the cement enterprise, unit: t; C 熟料 Represents the average carbon content of the clinker, expressed in %; G 熟料 Represents the production volume of the clinker of the cement enterprise, unit: t.

[0098] The calculation formula of the actual measurement method is: E = Q × C × 10 -6 .

[0099] Among them, E represents the total greenhouse gas emissions; Q represents the flue gas flow rate; C represents the measured concentration of greenhouse gases.

[0100] In one implementation, before step S2, the method further includes: the edge side determines the carbon emission accounting boundary and carbon emission sources of the cement enterprise.

[0101] Specifically, the scope of the carbon emission accounting boundary includes: the direct production system, the auxiliary production system, and the affiliated production system directly serving production.

[0102] The cement production stage refers to adding appropriate ingredients (such as gypsum, etc.) to the clinker produced in the clinker production stage, and then through a series of processing processes, mainly including stirring, grinding, etc., and finally making commercial cement through delicate packaging. In the cement production process, the main carbon emissions occur in the clinker production and production stages. Among them, multiple stages in the cement clinker production process contain carbon dioxide emissions.

[0103] Carbon emission sources include: direct emission sources and indirect emission sources. Among them, direct emission sources include carbon dioxide generated by raw material decomposition in process emission sources and carbon dioxide generated by calcination of non-combustible carbon in raw materials, as well as combustion of fossil fuels in fuel combustion emission sources and combustion of non-biomass carbon in alternative fuels and co-disposed waste. Indirect emission sources include carbon dioxide generated by purchased electricity and heat, carbon dioxide generated by exported electricity and heat, and carbon dioxide emissions implicit in carbon sequestration products.

[0104] In one implementation, step S2 includes:

[0105] S201. Based on the initial monitoring data, the edge side respectively determines the total carbon dioxide emissions corresponding to the emission factor method, the material balance method, and the actual measurement method.

[0106] S202. Based on the preset analysis method, the edge side determines the total carbon dioxide emissions with the smallest data error among the emission factor method, the material balance method, and the actual measurement method as the first processed data.

[0107] For step S202, the total carbon dioxide emissions obtained based on the emission factor method, material balance method, and actual measurement method are compared and analyzed. The advantages and disadvantages of each method can be compared by analyzing the absolute error value, deviation rate, and root mean square error value of the total carbon dioxide emissions. For example, the root mean square error method can be used to measure the error of measurement data, that is, the smaller the obtained root mean square error value, the higher the stability and accuracy of the corresponding measurement data.

[0108] Based on the above processing, after comparing and analyzing the initial monitoring data, first processed data with higher stability and accuracy is obtained, providing reference data for the subsequent generated carbon emission report.

[0109] In actual work, the edge device includes a carbon emission accounting module to complete steps such as determining the accounting boundary, determining the emission source, determining the accounting method, and calculating the carbon emissions according to the selected method.

[0110] In one implementation, after step S2, the method further includes:

[0111] Step 1: The edge device determines whether the first processed data exceeds the warning threshold.

[0112] Step 2: If so, the edge device prompts a warning to the cement enterprise.

[0113] Specifically, the user can compare the first emission amount with the warning threshold of the carbon dioxide emission amount set according to the policy standard. If it exceeds the warning threshold, the edge device will prompt a warning to the cement enterprise. When the cement enterprise receives the warning prompt, the cement enterprise will take measures to reduce carbon emissions or purchase carbon quotas to increase the carbon quota amount of the cement enterprise.

[0114] For step S3, the edge device inputs the first processed data into a preset carbon emission report template for the cement enterprise, automatically generates the carbon emission report for the cement enterprise, and then the edge device sends the carbon emission report to the cloud.

[0115] For step S4, after the cloud receives the data processed by the edge device and the generated carbon emission reports of each cement enterprise, it will further perform in-depth data analysis and data mining, analyze the carbon emission situation of each cement enterprise, and consider factors such as the previous emission reduction actions and new projects participated by the cement enterprise, and set the carbon emission quota for the cement enterprise in the next period according to the overall actual situation of the cement enterprise.

[0116] Among them, according to the actual situation of the cement enterprise, the carbon emission quota for the next period can be set as the monthly, quarterly, or annual carbon emission quota. Based on the historical method, the cloud determines the carbon emission quota for the cement industry according to relevant factors such as the historical emission base of the cement enterprise, previous emission reduction actions, and new projects.

[0117] The calculation formula of the historical method is: Cement enterprise carbon emission quota = historical emission base + prior emission reduction quota + new project quota.

[0118] In addition to determining the carbon emission quota of the cement enterprise in the next period, the cloud can also provide a visual interactive interface and a related data display interface. That is, the cloud server further processes the data sent by the edge according to the interactive protocol, and then stores it in the corresponding data table, which is displayed on the web page after internal modeling. At the same time, the cloud can send the visual interactive interface to the edge, which is displayed by the carbon emission visualization module in the edge, making it easy for different users to watch on the cloud and edge.

[0119] The data tables include cement enterprise information table, emission information table, and monitoring information table. Among them, the cement enterprise information table mainly records the basic organizational structure of the cement enterprise, the basic information of different departments (including contact persons and contact information, etc.) and the emission information of the departments. The emission information table records the department to which the emission equipment belongs, basic information, emission source, accounting method, emission factors of different emission sources, and emission results. The monitoring information table mainly records the information of each monitoring collection point, and records and stores the collected monitoring data such as temperature, concentration, flow, etc., as well as the data after data analysis and processing.

[0120] Based on the above processing, the cloud can provide a good interactive interface and monitoring interface, and display and summarize the relevant data of carbon emissions through graphics and tables to facilitate user monitoring and viewing.

[0121] Based on the initial monitoring data and carbon emission reports, the cloud and edge perform joint data analysis. Specifically, based on the initial monitoring data and carbon emission reports, cloud computing on the cloud and edge computing on the edge are integrated and applied to maximize the application value of cloud computing and edge computing. Among them, the computing nodes on the edge can store the above data and perform related calculations, for example, real-time processing of collected data, localized control, automatic processing of equipment failure problems, load identification, and modeling. Since most of the data collected on the edge is not one-time data, the data processed by the edge needs to be centralized in the cloud. Then, the cloud performs big data analysis, mining, and data sharing, trains and upgrades the algorithm model on the cloud, and pushes the upgraded algorithm to the edge to update and upgrade the edge devices on the edge, thereby realizing an autonomous learning closed loop.

[0122] The edge and cloud sides back up and save the received data to prevent unexpected situations during edge computing and cloud computing, which may cause data loss.

[0123] In addition, the cloud can remotely control the collection devices at the edge side and update the programs of the cloud and the edge side in a timely manner according to the changing requirements of the system, improving the generality of the cloud-edge collaborative system.

[0124] Based on the above processing, the data exchanged between the edge side and the cloud is high-value data after being processed and analyzed by the edge devices, which not only saves network resources and alleviates the computing pressure on the cloud, but also provides a data basis for subsequent data analysis, data mining and other operations on the cloud, effectively avoiding the problem of multi-source heterogeneous data faced by multiple collection devices when collecting data.

[0125] See Figure 2 , Figure 2 which is the overall design diagram of the collaboration between an edge device and the cloud provided by an embodiment of the present invention. The collection device is used to obtain initial monitoring data and transmit the obtained initial monitoring data to the edge device or the cloud.

[0126] The edge device includes a carbon emission collection module, a carbon emission accounting module, a carbon emission warning module, a carbon emission analysis module, a carbon emission reporting module, and a carbon emission visualization module.

[0127] Among them, the carbon emission collection module is used to receive the initial monitoring data obtained by the collection device; the carbon emission accounting module is used to determine the accounting boundary, determine the emission sources, determine the accounting method, and calculate the carbon emissions according to the selected method; the carbon emission warning module is used to judge whether the calculated carbon emissions exceed the warning threshold, and if so, prompt a warning to the cement enterprise; the carbon emission analysis module is used to determine the total carbon dioxide emissions with the smallest data error; the carbon emission reporting module is used to generate a carbon emission report for the cement enterprise; the carbon emission visualization module is used to interact with the cloud and synchronize the visualization content of the cloud to the edge side.

[0128] The edge side sends the data after edge computing to the cloud, and the cloud performs cloud computing processing on this data. Based on the processed data, the cloud remotely controls and updates the underlying devices such as the collection devices. In addition, the edge device can download the processed data in the cloud.

[0129] In actual work, the cloud-edge collaborative intelligent sensing and computing system collects relevant data on carbon emissions through carbon emission collection devices. Among them, the edge devices on the edge side collect data, and then preliminarily process the collected data according to preset rules, and upload the preliminarily processed data to the cloud. The cloud performs big data statistical analysis based on the received data and monitors the update process of the models on the cloud and the edge side.

[0130] Specifically, the carbon dioxide monitoring unit sends the acquired collection data (i.e., the initial monitoring data of the present invention) to the edge device. The edge device locally stores the received collection data and sends the collection data to the cloud. Meanwhile, the edge device processes the collection data based on the model at the edge side (i.e., the preset processing model of the present invention) and sends the processed result (i.e., the first processed data of the present invention) to the cloud. Among them, the cloud locally stores the received data.

[0131] Based on the data sent by the edge device, the cloud provides a visual interaction interface and a display interface for the data table. Then, the cloud interacts with the edge side and synchronizes the visual interaction interface and the display interface of the data table to the edge side.

[0132] Meanwhile, the model in the cloud is correlated with the model in the edge device for joint training, that is, the cloud can update the programs, algorithms, etc. of the model in the edge device according to the needs of system changes. And based on the updated model of the edge device and the data processed by the model of the edge device, the parameters, programs, etc. of the model in the cloud are also updated.

[0133] Based on the same inventive concept, the present invention provides a cloud-edge collaborative intelligent perception and calculation system for carbon emissions in cement enterprises, and the system includes:

[0134] The edge side is used to, based on the carbon dioxide monitoring unit, acquire initial monitoring data in real time and send the initial monitoring data to the cloud; based on the initial monitoring data and the preset processing model, the edge side determines the processed initial monitoring data as the first processed data; based on the first processed data, determines the carbon emission report of the cement enterprise and sends the carbon emission report to the cloud.

[0135] The cloud is used to determine the carbon emission quota for the next time period of the cement enterprise based on the initial monitoring data and the carbon emission report.

[0136] It can be understood that the cloud-edge collaborative intelligent perception and calculation system for carbon emissions in cement enterprises provided by the embodiments of the present invention corresponds to the above-mentioned cloud-edge collaborative intelligent perception and calculation method for carbon emissions in cement enterprises. The explanations, examples, beneficial effects, etc. of the relevant content can refer to the corresponding content in the cloud-edge collaborative intelligent perception and calculation method for carbon emissions in cement enterprises, and will not be elaborated here.

[0137] In summary, compared with the prior art, the present invention has the following beneficial effects:

[0138] 1. In the technical solution of the present invention, the data of the total carbon dioxide emissions obtained by comprehensively considering the actual measurement method, the emission factor method, and the material balance method are compared and analyzed by edge devices, and then appropriate carbon emission report data are determined. Compared with a single accounting method, the data accuracy is improved, providing a reference for the carbon emission quantification and accounting work of cement enterprises.

[0139] 2. The intelligent perception calculation method and system for carbon emissions of cement enterprises based on cloud-edge collaboration make full use of the advantages of cloud computing and edge device computing, providing a carbon emission measurement method more in line with the actual production situation for the cement industry, making the carbon emission accounting process during the production process of cement enterprises more accurate and perfect.

[0140] 3. Based on the cloud-edge collaborative intelligent perception calculation system, cement enterprises can better utilize intelligent technologies to real-time perceive the dynamic changes of carbon emissions, providing certain experience and data references for the energy consumption monitoring of cement enterprises.

[0141] 4. Based on the carbon emission intelligent perception calculation method and system, multiple parameters such as flue gas velocity, carbon dioxide concentration, and humidity are directly measured to obtain the carbon dioxide emissions. Compared with the accounted data, the data accuracy is significantly improved.

[0142] 5. Based on the cloud-edge collaborative intelligent perception calculation method and system for carbon emissions of cement enterprises, cement enterprises can conduct online monitoring, data collection and summary, and data statistical analysis of carbon emission data. Cement enterprises not only reduce production costs, but also facilitate the monitoring and discovery of problems existing in the production process.

[0143] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

[0144] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent perception and calculation method for carbon emissions in cement enterprises based on cloud-edge collaboration, characterized in that, The method includes: The edge side obtains initial monitoring data in real time based on a carbon dioxide monitoring unit, and sends the initial monitoring data to the cloud; The edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model; The edge side determines a carbon emission report of the cement enterprise based on the first processed data, and sends the carbon emission report to the cloud; The cloud determines the carbon emission quota of the cement enterprise for the next time period based on the initial monitoring data and the carbon emission report; The preset processing model includes: the emission factor method, the material balance method, and the actual measurement method; The formula of the emission factor method is as follows: ; Among them, E represents the total carbon dioxide emissions, represents the carbon dioxide emissions generated during the fuel combustion process, represents the carbon dioxide emissions during the cement production process; The calculation formula of the material balance method is: ； Among them, represents the amount of carbon dioxide during the accounting period of the cement enterprise, represents the average carbon content of the raw meal, represents the raw meal consumption of the cement enterprise; represents the average carbon content of the i-th added material, represents the consumption of the i-th added material of the cement enterprise, represents the average carbon content of the clinker, represents the production volume of the clinker of the cement enterprise, represents the ratio of the molecular weight of carbon dioxide to that of carbon; The calculation formula of the actual measurement method is as follows: ; where E represents the total greenhouse gas emissions, Q represents the flue gas flow rate, and C represents the measured concentration of greenhouse gases; The edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model, including: Based on the initial monitoring data, the edge side respectively determines the total carbon dioxide emissions corresponding to the emission factor method, the material balance method, and the actual measurement method; Based on a preset analysis method, the edge side determines the total carbon dioxide emissions with the smallest data error among the emission factor method, the material balance method, and the actual measurement method as the first processed data; The cloud determines the carbon emission quota of the cement enterprise for the next time period based on the initial monitoring data and the carbon emission report, including: The cloud receives the initial monitoring data and the carbon emission report sent by the edge side; The cloud determines the carbon emission quota of the cement enterprise for the next time period based on the initial monitoring data, the carbon emission report, and the historical method; where the carbon emission quota for the next time period includes the monthly, quarterly, or annual carbon emission quota; the calculation formula of the historical method is: Cement enterprise carbon emission quota = historical emission base + early reduction quota + new project quota.

2. The intelligent perception and calculation method for carbon emissions of cement enterprises according to claim 1, wherein The emission factor method includes: The calculation formula is: ; where \(i\) represents the type symbol of fossil fuels, represents the activity data of the \(i\)-th type of fossil fuel, represents the carbon dioxide emission factor of the \(i\)-th type of fossil fuel; The calculation formula is as follows: ; Among them, represents the consumption of the i-th fossil fuel combustion, represents the net calorific value of the i-th fossil fuel; The calculation formula is: ; Among them, represents the carbon oxidation rate of the i-th fossil fuel, represents the carbon content per unit calorific value of the i-th fossil fuel; The calculation formula is as follows: ； Among them, Q represents the amount of clinker produced, represents the calcium oxide content in the clinker, represents the calcium oxide content in the clinker excluding that decomposed from carbonate, represents the magnesium oxide content in the clinker, represents the magnesium oxide content in the clinker excluding that decomposed from carbonate, represents the value of the ratio of carbon dioxide to calcium oxide, represents the value of the ratio of carbon dioxide to magnesium oxide.

3. The intelligent perception and calculation method for carbon emissions of cement enterprises according to claim 1, characterized in that Before the edge side respectively determines the total carbon dioxide emissions corresponding to the emission factor method, the material balance method, and the actual measurement method based on the initial monitoring data, the method further includes: The edge side determines the carbon emission accounting boundary and carbon emission sources of the cement enterprise.

4. The intelligent perception and calculation method for carbon emissions of cement enterprises according to claim 1, characterized in that, After the edge side determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model, the method further includes: The edge side determines whether the first processed data exceeds the warning threshold; If so, the edge side gives a warning to the cement enterprise.

5. The intelligent perception and calculation method for carbon emissions of cement enterprises according to claim 1, characterized in that The method further includes: Based on the initial monitoring data and the carbon emission report, the cloud provides a visual interactive interface and a display interface for data tables; where the data tables include a cement enterprise information table, an emission information table, and a monitoring information table.

6. The intelligent perception and calculation method for carbon emissions of cement enterprises according to claim 1, characterized in that, The method further includes: Based on the initial monitoring data and the carbon emission report, the cloud performs joint data analysis with the edge side.

7. An intelligent carbon emission perception and calculation system for cement enterprises based on cloud-edge collaboration, characterized in that, Applied to the intelligent perception calculation method for cement enterprise carbon emissions as described in any one of claims 1-6, the system includes: An edge device, which is used to obtain initial monitoring data in real time based on a carbon dioxide monitoring unit and send the initial monitoring data to the cloud; the edge device determines the processed initial monitoring data as the first processed data based on the initial monitoring data and a preset processing model; determines a carbon emission report of a cement enterprise based on the first processed data and sends the carbon emission report to the cloud; The cloud, which is used to determine the carbon emission quota of the cement enterprise for the next time period based on the initial monitoring data and the carbon emission report.

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