Industrial carbon emission data exception management system, method, equipment and medium

Abstract

The invention discloses an industrial carbon emission data exception management system, method, equipment and medium, relates to the technical field of enterprise data acquisition and processing, can realize acquisition of corresponding data of production consumption data and carbon emission data by providing a production data analysis model, and realizes analysis of carbon emission data through a data exception analysis unit. According to the invention, the production plan can be optimized in advance through the model of the enterprise plan optimization unit for judging whether the production plan in the later period has production differences and exceeds the carbon right limit of the enterprise, so that the carbon emission data is normal while the production operation is ensured to be effectively completed.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise data collection and processing, and in particular to an industrial carbon emission data anomaly management system, method, equipment and medium. Background Art

[0002] The industrial carbon emission data monitoring system is a system that uses advanced sensors, instruments and network technologies to conduct real-time and continuous monitoring and analysis of carbon emission sources and carbon sinks. It aims to provide data support for carbon emission accounting, assessment, control and trading. The system collects parameters such as flue gas flow rate, carbon dioxide concentration, temperature, pressure, humidity and other parameters in the target chimney to control carbon dioxide emissions in real time, and generates daily, monthly and annual carbon emission reports and corresponding curves to realize intelligent and visual online carbon emission monitoring.

[0003] In the existing technology, abnormal monitoring of corporate carbon emission data is generally carried out by setting up corresponding sensor modules in various production links of the enterprise, detecting the corresponding data and converting them into corresponding carbon emission data. In order to determine whether the collected corporate carbon emission data is abnormal, a corresponding judgment system is generally established. The company staff loads the relevant positive production carbon emission threshold into the system and then compares it with the detected carbon emission data to determine whether the carbon emission data is abnormal. However, the company cannot predict the carbon emission data in advance during the equipment operation and production process. Once the entire production link starts, even if the carbon emission data is detected to be abnormal, it is impossible to stop the operation. Stopping the production operation may cause greater economic losses. The only way is to count the carbon emission anomalies. Once it exceeds the company's carbon rights index, the corresponding carbon rights transaction purchase will be carried out, which will bring inevitable economic losses to the company.

[0004] Based on the above problems, there is an urgent need for a method that can pre-calculate whether the carbon emission data of an enterprise is abnormal in advance, which can effectively estimate the carbon emission data of the enterprise and avoid economic losses caused by abnormal carbon emission data detection. Summary of the Invention

[0005] The present invention provides an industrial carbon emission data anomaly management system, method, equipment and medium to solve the problem that enterprises are currently unable to predict future carbon emission data according to production plans in advance, and are unable to confirm in advance that carbon emission data is anomaly. They can only wait until the production plan is completed and purchase corresponding carbon rights in the carbon rights trading market to make up for excess carbon emissions.

[0006] In a first aspect, the present invention provides an industrial carbon emission data anomaly management system, comprising a production data analysis model unit, a production plan data uploading unit, a data anomaly analysis unit, and an enterprise plan optimization unit;

[0007] The production data analysis model unit is used to collect the actual production consumption data corresponding to the target enterprise and the carbon emission data corresponding to the actual production consumption data, and load the actual production consumption data and the carbon emission data corresponding to the actual production consumption data into the model database to establish a data matching analysis model;

[0008] The production plan data uploading unit is used to collect the planned production consumption data corresponding to the target enterprise; wherein the data type of the planned production consumption data is the same as the data type of the actual production consumption data;

[0009] The data anomaly analysis unit is configured to schedule the data matching analysis model in the production data analysis model unit to perform analysis based on the planned production consumption data collected by the production plan data uploading unit to obtain estimated carbon emission data;

[0010] The enterprise plan optimization unit is used to optimize the planned production consumption data when the estimated carbon emission data exceeds the preset carbon right index, so that the estimated carbon emission data meets the carbon right index requirement.

[0011] Furthermore, the production data analysis model unit includes a carbon emission data detection module, a production consumption statistics module, and a data storage and analysis module;

[0012] The carbon emission data detection module is used to collect carbon emission data of power generation equipment, production operation carbon emission data, chemical energy consumption data carbon emission data and employee life carbon emission data to obtain actual production consumption data;

[0013] The production consumption statistics module is used to collect power production data of power generation equipment, production operation product data, chemical energy consumption data and employee life consumption data to obtain carbon emission data corresponding to the actual production consumption data;

[0014] The data storage and analysis module is used to load the actual production and consumption data and the carbon emission data corresponding to the actual production and consumption data into a model database to establish a data matching analysis model.

[0015] Furthermore, the data anomaly analysis unit includes a data receiving module, a matching analysis module and a confirmation module;

[0016] The data receiving module is used to obtain the planned production consumption data collected by the production plan data uploading unit; wherein the planned production consumption data includes the power production plan data of the power generation equipment, the production operation product plan data, the planned chemical energy consumption plan data, and the employee living consumption plan data;

[0017] The matching analysis module is used to load the planned production consumption data into the data matching analysis model to obtain estimated carbon emission data;

[0018] The confirmation module is used to compare the estimated carbon emission data with the carbon rights index to determine whether the estimated carbon emission data exceeds a preset carbon rights index.

[0019] Furthermore, the data matching analysis model is:

[0020]

[0021] Among them, C is the estimated carbon emission data, E is the power production data of the power generation equipment, θ E is the carbon emission conversion coefficient of power equipment, n is the number of production units, i is the i-th production unit, P i is the product production data of the i-th production unit, is the carbon emission conversion coefficient of the i-th production operation unit, S is the fossil energy consumption data, θ S is the fossil energy carbon emission conversion coefficient, B is the employee life consumption data, θ B It is the carbon emission conversion coefficient of employees’ lives.

[0022] Furthermore, the enterprise plan optimization unit includes a carbon rights index data calculation module, a data optimization direction analysis module, and an optimization data adjustment calculation module;

[0023] The carbon rights index data calculation module is used to determine excess carbon emissions data exceeding the carbon rights index when the estimated carbon emissions data exceeds the preset carbon rights index;

[0024] The data optimization direction analysis module is used to explore the adjustable range of different production plan directions of the enterprise according to the energy conservation and emission reduction requirements and production plan requirements of the enterprise, and confirm the direction that can be optimized and adjusted;

[0025] The optimization data adjustment calculation module is used to calculate the adjustment data of different optimizable adjustment directions according to the excess carbon emission data through an optimization calculation model to obtain a final production plan direction.

[0026] Furthermore, the optimization calculation model is:

[0027]

[0028] Among them, M is the demand production base, C p Provide enterprise with pre-consumption carbon rights indicator data, is the production base conversion coefficient, K is the available production base, m is the number of available adjustment directions, T is the adjustable production base, N jis the jth adjustable carbon emission value, μ j is the conversion coefficient of available production base, a j % is the weight ratio of the jth adjustable carbon emission value.

[0029] Furthermore, when the available production base is smaller than the demanded production base, all available production bases will be used as adjustable production bases, and the adjustable ranges of different production plan directions of the enterprise will be adjusted in full; when the available production base is larger than the demanded production base, the available production base will be adjusted according to the weight ratio, and the adjustable ranges of different production plan directions of the enterprise will be adjusted in fixed amounts according to the weight ratios of different production plan directions.

[0030] In a second aspect, the present invention provides a method for managing abnormal industrial carbon emission data, comprising:

[0031] Collecting actual production consumption data and carbon emission data corresponding to the target enterprise, and loading the actual production consumption data and carbon emission data corresponding to the actual production consumption data into a model database to establish a data matching analysis model;

[0032] Collecting planned production consumption data corresponding to the target enterprise; wherein the data type of the planned production consumption data is the same as the data type of the actual production consumption data;

[0033] Based on the collected planned production consumption data, the data matching analysis model in the production data analysis model unit is scheduled to perform analysis to obtain estimated carbon emission data;

[0034] When the estimated carbon emission data exceeds the preset carbon right index, the planned production consumption data is optimized so that the estimated carbon emission data meets the carbon right index requirement.

[0035] In a third aspect, the present invention provides an industrial carbon emission data anomaly management device, comprising a processor and a memory;

[0036] The memory stores computer-executable instructions;

[0037] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the industrial carbon emission data anomaly management method as described in the first aspect.

[0038] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer execution instructions, which, when executed by a processor, are used to implement the industrial carbon emission data anomaly management method described in the first aspect.

[0039] The present invention provides an industrial carbon emission data anomaly management system, method, equipment and medium. By providing a production data analysis model, it is possible to collect corresponding data of production consumption data and carbon emission data, and realize through a data anomaly analysis unit whether there will be production anomalies in the later production plan, which will exceed the carbon quota of the enterprise. The production plan will be optimized in advance through the model of the enterprise plan optimization unit, so as to make the carbon emission data normal while ensuring the effective completion of production operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0041] Figure 1 A schematic structural diagram of an industrial carbon emission data anomaly management system is provided in accordance with an embodiment of the present invention.

[0042] Figure 2 A flowchart of a method for managing abnormal industrial carbon emission data is provided in accordance with an embodiment of the present invention.

[0043] Figure 3 A schematic structural diagram of an industrial carbon emission data anomaly management device is provided for an embodiment of the present invention.

[0044] Among them, 101-production data analysis model unit, 101.1-carbon emission data detection module, 101.2-production consumption statistics module, 101.3-data storage and analysis module;

[0045] 102-Production plan data uploading unit;

[0046] 103-Data anomaly analysis unit, 103.1-Data receiving module, 103.2-Matching analysis module, 103.3-Confirmation module;

[0047] 104-Enterprise Planning Optimization Unit, 104.1-Carbon Rights Index Data Calculation Module, 104.2-Data Optimization Direction Analysis Module, 104.3-Optimization Data Adjustment Calculation Module;

[0048] 301 - memory, 302 - processor, 303 - bus.

[0049] The above drawings illustrate specific embodiments of the present invention, which will be described in more detail below. These drawings and the accompanying description are not intended to limit the scope of the present invention in any way, but rather to illustrate the concept of the present invention to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0050] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0051] In the prior art, the original enterprise carbon emission data detection system can only detect the enterprise carbon emission data in real time. When the carbon emission data is abnormal, that is, the enterprise's carbon emission data exceeds the rated carbon rights index, it can no longer be adjusted by adjusting the production operation plan in various directions of the enterprise. It can only make excessive use of the carbon rights index of other planning cycles or purchase corresponding carbon rights indexes through the carbon rights trading market to make up for the excess carbon emissions in the production plan. This is not conducive to the healthy development of energy conservation and emission reduction of enterprises, and will also bring corresponding economic losses due to carbon emissions. Based on the above problems, the embodiment of the present invention discloses an industrial carbon emission data anomaly management system.

[0052] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0053] like Figure 1 As shown, an embodiment of the present invention provides an industrial carbon emission data anomaly management system, including a production data analysis model unit 101, a production plan data uploading unit 102, a data anomaly analysis unit 103 and an enterprise plan optimization unit 104;

[0054] The production data analysis model unit 101 is used to collect the actual production consumption data corresponding to the target enterprise and the carbon emission data corresponding to the actual production consumption data, and load the actual production consumption data and the carbon emission data corresponding to the actual production consumption data into the model database to establish a data matching analysis model;

[0055] We can design corresponding sensor equipment in each production link of the enterprise, use the sensor equipment to collect statistics on the production consumption data of each production link of the enterprise, collect the corresponding carbon emission data, load the data into the model database, and establish a data matching analysis model.

[0056] The production plan data uploading unit 102 is used to collect the planned production consumption data corresponding to the target enterprise; wherein the data type of the planned production consumption data is the same as the data type of the actual production consumption data;

[0057] For example, statistics can be collected on the company's later planning data, including power production data of power generation equipment, production operation product data, chemical energy consumption data, and employee life consumption data, and uploaded; this design can realize statistics on the company's production planning data through the production planning data uploading unit 102, and realize a one-to-one correspondence between the production planning data and the carbon distribution data. This method can realize that after knowing the production planning data, the later carbon emission data can be effectively estimated through the model.

[0058] The data anomaly analysis unit 103 is configured to schedule the data matching analysis model in the production data analysis model unit 101 to perform analysis based on the planned production consumption data collected by the production plan data uploading unit 102 to obtain estimated carbon emission data;

[0059] The data anomaly analysis unit 103 has a built-in data anomaly analysis model. According to the plan data uploaded by the production plan data upload unit 102, the production data analysis model unit 1 performs corresponding data matching to obtain estimated carbon emission data, and confirms whether the estimated carbon emission data exceeds the carbon rights index; after the enterprise uploads the corresponding production plan data for the later period, such as the production scale of the enterprise's later products, electricity output plan, electricity consumption plan, enterprise employee electricity consumption, chemical carbon gas emission data, etc., it can realize an effective estimate of the carbon emission data generated by the enterprise's later plan based on the data analysis model after the data has been uploaded in the early stage, and compare the estimated carbon data with the carbon rights index consumed by the plan to determine whether it exceeds the carbon rights index, thereby determining whether the later carbon emission data will be abnormal.

[0060] The enterprise plan optimization unit 104 is configured to optimize the planned production consumption data when the estimated carbon emission data exceeds a preset carbon quota, so as to make the estimated carbon emission data meet the carbon quota requirement.

[0061] After the data anomaly analysis unit 103 analyzes and finds that the estimated carbon emission data exceeds the carbon rights index, a screening and evaluation is conducted on the enterprise production plan to find the corresponding adjustable data. For example, if there is a corresponding excess in the production scale, the excess data can be adjusted. If there is a waste of electricity in the electricity consumption of the enterprise employees, the waste of electricity can be adjusted accordingly, and so on. The corresponding production plan data is optimized to ensure that the carbon emission data is normal while ensuring the effective completion of the production operation, and effectively achieve energy conservation and emission reduction.

[0062] The present invention provides an industrial carbon emission data anomaly management system, which can collect corresponding data of production consumption data and carbon emission data by providing a production data analysis model, and realize whether there will be production anomalies in the later production plan through the data anomaly analysis unit 103, which exceeds the carbon quota of the enterprise. The production plan will be optimized in advance through the model of the enterprise plan optimization unit 104, and the directions of adjustment and optimization of various directions of the production plan will be found. According to the corresponding ratio of carbon emission data and carbon quota, the directions of optimization in various directions of the enterprise production plan can be optimized, effectively responding to the national energy conservation and emission reduction policy, and making the carbon emission data normal while ensuring the effective completion of production operations.

[0063] In a possible implementation, the production data analysis model unit 101 includes a carbon emission data detection module 101.1, a production consumption statistics module 101.2, and a data storage analysis module 101.3;

[0064] The carbon emission data detection module 101.1 is used to collect carbon emission data of power generation equipment, production operation, chemical energy consumption, and employee life to obtain actual production consumption data;

[0065] For example, a central data storage module can be used in conjunction with detection modules installed in various links of industrial production operations, including the collection of carbon emission data of power generation equipment, production operation carbon emission data, chemical energy consumption data, and employee life carbon emission data.

[0066] The production consumption statistics module 101.2 is used to collect power production data of power generation equipment, production operation product data, chemical energy consumption data and employee living consumption data to obtain carbon emission data corresponding to the actual production consumption data;

[0067] For example, statistics can be collected on the data of each process of an enterprise's production and consumption data, including power production data of power generation equipment, production operation product data, chemical energy consumption data, and employee living consumption data.

[0068] The data storage and analysis module 101.3 is used to load the actual production and consumption data and the carbon emission data corresponding to the actual production and consumption data into a model database to establish a data matching analysis model.

[0069] The above technical solution refines the production data analysis model unit, establishes a data matching model by statistically analyzing the production consumption data and the corresponding carbon emission data, and can estimate the possible carbon emission data of the later plan through the data matching model after obtaining the production plan, thereby determining whether there will be any abnormalities in the later carbon emission data.

[0070] In a possible implementation, the data anomaly analysis unit 103 includes a data receiving module 103.1, a matching analysis module 103.2, and a confirmation module 103.3;

[0071] The data receiving module 103.1 is configured to obtain the planned production consumption data collected by the production plan data uploading unit 102; wherein the planned production consumption data includes the planned power production data of power generation equipment, the planned production product data, the planned chemical energy consumption data, and the planned employee living consumption data;

[0072] The matching analysis module 103.2 is used to load the planned production consumption data into the data matching analysis model to obtain estimated carbon emission data;

[0073] The confirmation module 103.3 is used to compare the estimated carbon emission data with the carbon rights index to determine whether the estimated carbon emission data exceeds the preset carbon rights index.

[0074] The above solution refines the data anomaly analysis unit, which can match the corresponding carbon emission data after receiving the planned data, and can determine whether the subsequent carbon emission data exceeds the company's carbon rights index.

[0075] In a possible implementation, the data matching analysis model is:

[0076]

[0077] Among them, C is the estimated carbon emission data, E is the power production data of the power generation equipment, θ E is the carbon emission conversion coefficient of power equipment, n is the number of production units, i is the i-th production unit, P i is the product production data of the i-th production unit, is the carbon emission conversion coefficient of the i-th production operation unit, S is the fossil energy consumption data, θ S is the fossil energy carbon emission conversion coefficient, B is the employee life consumption data, θ B It is the carbon emission conversion coefficient of employees’ lives.

[0078] The matching analysis model provided in this embodiment utilizes the production data analysis model unit 101 used in the above embodiment to realize the statistics of the production consumption data of each production link of the enterprise. At the same time, the corresponding carbon emission data is collected, and the conversion coefficients between the production data and carbon emission data in the different major carbon emission links of the enterprise are analyzed through corresponding statistical calculations. The corresponding conversion coefficients are loaded into the data matching analysis model. After the production plan data uploading unit 102 uploads the corresponding production plan data of each production link, the estimated carbon emission data can be obtained through matching calculations of the data matching analysis model.

[0079] The above solution provides a formula for a data matching model. After obtaining the company's main carbon emission production plan data, the corresponding conversion coefficient can be used to effectively estimate the final carbon emission data under the later production plan.

[0080] In a possible implementation, the enterprise plan optimization unit 104 includes a carbon rights index data calculation module 104.1, a data optimization direction analysis module 104.2, and an optimization data adjustment calculation module 104.3;

[0081] The carbon rights index data calculation module 104.1 is used to determine excess carbon emissions exceeding the carbon rights index when the estimated carbon emissions data exceeds the preset carbon rights index;

[0082] The data optimization direction analysis module 104.2 is used to explore the adjustable ranges of different production plan directions of the enterprise according to the enterprise's energy conservation and emission reduction requirements and production plan requirements, and identify the directions that can be optimized and adjusted;

[0083] The optimization data adjustment calculation module 104.3 is used to calculate the adjustment data of different optimization adjustment directions based on the excess carbon emission data through the optimization calculation model to obtain the final production plan direction.

[0084] The above scheme subdivides the enterprise plan optimization unit, and can calculate the excess carbon rights index when the carbon emission data estimated by the production plan exceeds expectations, and confirm the part of the enterprise production plan that can be optimized based on the carbon rights index, and adjust the production plan data for the part that can be optimized.

[0085] In a possible implementation, the optimization calculation model is:

[0086]

[0087] Among them, M is the demand production base, C p Provide enterprise with pre-consumption carbon rights indicator data, is the production base conversion coefficient, K is the available production base, m is the number of available adjustment directions, T is the adjustable production base, N j is the jth adjustable carbon emission value, μ j is the conversion coefficient of available production base, a j % is the weight ratio of the jth adjustable carbon emission value.

[0088] The above embodiment provides a corresponding optimization calculation model, which calculates the difference between the estimated carbon emission data and the enterprise's pre-consumption carbon rights index data, and converts the difference in the calculated carbon emission data into the corresponding demand production base. At the same time, the production base available to the enterprise is analyzed, and various carbon reduction directions in the enterprise's planned data are collected, including corresponding adjustments to the corresponding adjustable quotas in the production plan, adjustments to the power production data, and adjustments to the electricity consumption of the enterprise's employees. While ensuring the realization of energy conservation and emission reduction in the later stage of the enterprise, it ensures that the enterprise's carbon emission quota will not exceed the carbon rights index of the enterprise's plan.

[0089] In one possible implementation, when the available production base is smaller than the demanded production base, all available production bases are used as adjustable production bases, and the adjustable ranges of different production plan directions of the enterprise are adjusted in full; when the available production base is larger than the demanded production base, the available production base is adjusted according to the weight ratio, and the adjustable ranges of different production plan directions of the enterprise are adjusted in fixed amounts according to the weight ratios of different production plan directions.

[0090] The above plan presets two situations. When the available production base is smaller than the required production base, a full adjustment will be made. When the available production base is larger than the required production base, the available production base will be adjusted according to the weight ratio.

[0091] like Figure 2 As shown, the present invention provides an industrial carbon emission data abnormality management method, comprising

[0092] S201: Collect actual production and consumption data corresponding to the target enterprise and carbon emission data corresponding to the actual production and consumption data, load the actual production and consumption data and carbon emission data corresponding to the actual production and consumption data into a model database, and establish a data matching analysis model;

[0093] S202. Collect planned production consumption data corresponding to the target enterprise; wherein the data type of the planned production consumption data is the same as the data type of the actual production consumption data;

[0094] S203: Based on the collected planned production consumption data, the data matching analysis model in the production data analysis model unit 101 is scheduled to perform analysis to obtain estimated carbon emission data;

[0095] S204: When the estimated carbon emission data exceeds the preset carbon right index, optimize the planned production consumption data so that the estimated carbon emission data meets the carbon right index requirement.

[0096] An industrial carbon emission data anomaly management method provided in an embodiment of the present invention can be applied to the above-mentioned system technical solution. Its principles and beneficial effects are similar and will not be described in detail here.

[0097] like Figure 3 As shown, the present invention provides an industrial carbon emission data anomaly management device, which may include a memory 301 and a processor 302. Exemplarily, the memory 301 and the processor 302 are interconnected via a bus 303.

[0098] The memory 301 stores computer-executable instructions;

[0099] The processor 302 executes the computer-executable instructions stored in the memory, so that the processor executes any of the above-mentioned methods for managing abnormal industrial carbon emission data.

[0100] Figure 3 The industrial carbon emission data anomaly management device shown in the embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.

[0101] An embodiment of the present invention provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, they are used to implement any of the above-mentioned industrial carbon emission data anomaly management methods.

[0102] An embodiment of the present invention may further provide a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for managing abnormal industrial carbon emission data.

[0103] All or part of the steps of the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a readable memory. When the program is executed, it performs the steps of the above-mentioned method embodiments; and the aforementioned memory (storage medium) includes read-only memory (ROM), RAM, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disc, and any combination thereof.

[0104] The embodiments of the present invention are described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processing unit of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processing unit of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0105] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0107] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the claims.

[0108] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof, which is limited only by the appended claims.

Claims

1. An industrial carbon emission data anomaly management system, characterized in that: It includes production data analysis model unit, production plan data upload unit, data anomaly analysis unit and enterprise plan optimization unit; The production data analysis model unit is used to collect the actual production consumption data corresponding to the target enterprise and the carbon emission data corresponding to the actual production consumption data, and load the actual production consumption data and the carbon emission data corresponding to the actual production consumption data into the model database to establish a data matching analysis model; The production plan data uploading unit is used to collect the planned production consumption data corresponding to the target enterprise; wherein the data type of the planned production consumption data is the same as the data type of the actual production consumption data; The data anomaly analysis unit is configured to schedule the data matching analysis model in the production data analysis model unit to perform analysis based on the planned production consumption data collected by the production plan data uploading unit to obtain estimated carbon emission data; The enterprise plan optimization unit is used to optimize the planned production consumption data when the estimated carbon emission data exceeds the preset carbon right index, so that the estimated carbon emission data meets the carbon right index requirement.

2. The industrial carbon emission data anomaly management system according to claim 1 is characterized in that: The production data analysis model unit includes a carbon emission data detection module, a production consumption statistics module and a data storage and analysis module; The carbon emission data detection module is used to collect carbon emission data of power generation equipment, production operation carbon emission data, chemical energy consumption data carbon emission data and employee life carbon emission data to obtain actual production consumption data; The production consumption statistics module is used to collect power production data of power generation equipment, production operation product data, chemical energy consumption data and employee life consumption data to obtain carbon emission data corresponding to the actual production consumption data; The data storage and analysis module is used to load the actual production and consumption data and the carbon emission data corresponding to the actual production and consumption data into a model database to establish a data matching analysis model.

3. The industrial carbon emission data abnormality management system according to claim 1 is characterized in that: The data anomaly analysis unit includes a data receiving module, a matching analysis module and a confirmation module; The data receiving module is used to obtain the planned production consumption data collected by the production plan data uploading unit; wherein the planned production consumption data includes the power production plan data of the power generation equipment, the production operation product plan data, the planned chemical energy consumption plan data, and the employee living consumption plan data; The matching analysis module is used to load the planned production consumption data into the data matching analysis model to obtain estimated carbon emission data; The confirmation module is used to compare the estimated carbon emission data with the carbon rights index to determine whether the estimated carbon emission data exceeds a preset carbon rights index.

4. The industrial carbon emission data abnormality management system according to claim 2 is characterized in that: The data matching analysis model is: Among them, C is the estimated carbon emission data, E is the power production data of the power generation equipment, θ E is the carbon emission conversion coefficient of power equipment, n is the number of production units, i is the i-th production unit, P i is the product production data of the i-th production unit, θ i p is the carbon emission conversion coefficient of the i-th production operation unit, S is the fossil energy consumption data, θ S is the fossil energy carbon emission conversion coefficient, B is the employee life consumption data, θ B It is the carbon emission conversion coefficient of employees’ lives.

5. The industrial carbon emission data abnormality management system according to claim 4 is characterized in that: The enterprise plan optimization unit includes a carbon rights index data calculation module, a data optimization direction analysis module, and an optimization data adjustment calculation module; The carbon rights index data calculation module is used to determine excess carbon emissions data exceeding the carbon rights index when the estimated carbon emissions data exceeds the preset carbon rights index; The data optimization direction analysis module is used to explore the adjustable range of different production plan directions of the enterprise according to the energy conservation and emission reduction requirements and production plan requirements of the enterprise, and confirm the direction that can be optimized and adjusted; The optimization data adjustment calculation module is used to calculate the adjustment data of different optimizable adjustment directions according to the excess carbon emission data through an optimization calculation model to obtain a final production plan direction.

6. The industrial carbon emission data abnormality management system according to claim 5 is characterized in that: The optimization calculation model is: Among them, M is the demand production base, C p Provide enterprise with pre-consumption carbon rights indicator data, is the production base conversion coefficient, K is the available production base, m is the number of available adjustment directions, T is the adjustable production base, N j is the jth adjustable carbon emission value, μ j is the conversion coefficient of available production base, a j % is the weight ratio of the jth adjustable carbon emission value.

7. The industrial carbon emission data anomaly management system according to claim 1, characterized in that: When the available production base is smaller than the demanded production base, all available production bases shall be used as adjustable production bases, and the adjustable ranges of different production plan directions of the enterprise shall be adjusted in full. When the available production base is larger than the demanded production base, the available production base shall be adjusted according to the weight ratio, and the adjustable ranges of different production plan directions of the enterprise shall be adjusted in fixed amounts according to the weight ratios of different production plan directions.

8. A method for managing abnormal industrial carbon emission data, characterized in that: include Collecting actual production consumption data and carbon emission data corresponding to the target enterprise, and loading the actual production consumption data and carbon emission data corresponding to the actual production consumption data into a model database to establish a data matching analysis model; Collecting planned production consumption data corresponding to the target enterprise; wherein the data type of the planned production consumption data is the same as the data type of the actual production consumption data; Based on the collected planned production consumption data, the data matching analysis model in the production data analysis model unit is scheduled to perform analysis to obtain estimated carbon emission data; When the estimated carbon emission data exceeds the preset carbon right index, the planned production consumption data is optimized so that the estimated carbon emission data meets the carbon right index requirement.

9. An industrial carbon emission data anomaly management device, characterized in that: including processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor executes the industrial carbon emission data anomaly management method according to claim 9.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the industrial carbon emission data anomaly management method according to claim 9.

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