Carbon emission monitoring management system based on industrial Internet of Things

Abstract

The invention relates to the technical field of data analysis, in particular to a carbon emission monitoring management system based on industrial Internet of Things, which comprises a data acquisition module, a data processing module, a monitoring plan module, a parameter verification module and an enterprise management module. The system obtains summarized data of development data and carbon emission data of an enterprise through the data acquisition module, obtains carbon emission parameters through the data processing module, issues a carbon emission reduction plan through the plan issuing unit, and detects and analyzes the execution condition of carbon emission reduction through the plan monitoring unit to obtain plan execution parameters. The carbon emission reduction parameters and the plan execution parameters are verified through the parameter verification module, enterprises are classified and managed according to verification results, the management effect is more efficient, the carbon emission reduction plan is adjusted according to the verification results, and the carbon emission reduction plan is more adaptive to the development mode of the enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a carbon emission monitoring and management system based on industrial Internet of Things. Background Art

[0002] Currently, industry is developing rapidly and productivity has increased significantly, which has led to increased carbon emissions and more serious environmental pollution. Therefore, it is particularly important to monitor and control carbon emissions.

[0003] In the prior art, such as the patent document entitled Carbon Emission Monitoring Management System and Method with application number CN201910060105.9, the data processing module in the system is used to generate carbon emission or carbon emission reduction behavior information based on the summary data of carbon emission plan data and carbon emission monitoring information, and obtain the corresponding carbon emission or carbon emission reduction data; the data storage module is used to save the carbon emission or carbon emission reduction data to the corresponding account system to instruct the enterprise to perform carbon emission monitoring and management, expand the carbon emission monitoring function, and effectively quantitatively analyze carbon emissions. However, the above patent documents have the following problems: 1. It is impossible to analyze the implementation of the carbon emission reduction plan for monitoring and tracking, and the effect of the company's implementation of carbon emission reduction is questionable; 2. It is impossible to adjust the carbon emission reduction plan in real time according to the development of the company, resulting in the carbon emission reduction plan may not be suitable for the company's current development model, and the management effect of the company's carbon emissions is not good. Summary of the invention

[0004] The purpose of the present invention is to propose a carbon emission monitoring and management system based on the industrial Internet of Things based on the problems in the background technology.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a carbon emission monitoring and management system based on the industrial Internet of Things, including a data acquisition module, a data processing module, a monitoring plan module, a parameter verification module and an enterprise management module;

[0006] The data collection module is used to collect IoT information and receive enterprise development data and carbon emission data uploaded by enterprises, and integrate the enterprise development data and carbon emission data into summary data;

[0007] The data processing module is used to analyze the aggregated data, obtain carbon emission parameters, and generate standard parameters based on the IoT information;

[0008] Monitoring plan module, including plan release unit and plan monitoring unit;

[0009] A plan release unit, used to generate and release a carbon emission reduction plan to enterprises based on carbon emission parameters and standard parameters;

[0010] The plan monitoring unit is used to monitor the implementation of the company's carbon emission reduction plan and generate plan execution parameters based on the implementation status;

[0011] The parameter verification module is used to verify the carbon emission parameters and the planned execution parameters, determine whether the carbon emission parameters and the planned execution parameters match, obtain the matching results, and mark the enterprise according to the matching results;

[0012] Enterprise management module, including several management units, priority setting unit, and plan adjustment unit;

[0013] Management units, used to classify enterprises with the same mark into the same management unit for management, and classify enterprises with different marks into different management units for management; the plurality of management units include parameter matching units and parameter mismatching units;

[0014] The plan adjustment unit is used to adjust the carbon emission reduction plan corresponding to the enterprise under the parameter mismatch unit, and manage the carbon emissions of the enterprise according to the carbon emission reduction optimization plan.

[0015] As a further solution of the present invention, the enterprise development data includes the output of operating projects and emission reduction related equipment, and the carbon emission data is composed of several energy consumption amounts.

[0016] As a further solution of the present invention, a method for obtaining carbon emission parameters is:

[0017] Carbon emission parameter calculation formula The carbon emission parameter TC is calculated, XC is the output of the operating project, k1 is the quantitative coefficient of the output, SGi is the emission reduction related equipment, hi is the equipment quantitative coefficient, i is the emission reduction related equipment number, i∈[1,n1], n1 is the total number of online emission reduction equipment; a is the standard base number; NYj is the energy consumption, Fj is the carbon emission quantitative standard function based on energy consumption, j is the energy type number, j∈[1,n2], n2 is the total number of energy;

[0018] k 1×XC, They are respectively the three elements A1, A2 and A3 of the carbon emission parameter TC.

[0019] As a further solution of the present invention, the corresponding carbon emission parameter TC is marked as a first comparison parameter and a second comparison parameter according to different management cycles, and the first comparison parameter and the second comparison parameter are compared with the standard parameter respectively to generate a comparison model;

[0020] The expression of the comparison model is:

[0021] FX is the analytical value of the comparison parameter;

[0022] A sequence is established according to the result generated by the comparison model, and the sequence is traversed. If there is no analysis value FX=0 in the sequence, a maintenance label is generated; if there is an analysis value FX=0 in the sequence, an analysis label is generated;

[0023] No carbon reduction plan is generated according to the maintenance tag; the cycle start time point of the management cycle corresponding to the first year-on-year parameter and the second year-on-year parameter is obtained according to the analysis tag, the two cycle start time points are marked on the timestamp, and the year-on-year parameter corresponding to the earlier cycle start time point is marked as the target parameter in the order of the timestamp, and the comparison parameter other than the target parameter is marked as the reference parameter, and the reference parameter is calculated with the target parameter to obtain the parameter difference. If the parameter difference is not less than 0, the same maintenance tag is generated; if the parameter difference is less than 0, an emission reduction tag is generated;

[0024] Using the year-on-year calculation formula based on emission reduction labels The element item increment TBd is calculated; CZd is the element item of the reference parameter, MBd is the element item of the target parameter, d is the element item number, d is a positive integer, d∈(1,2,3); the element item increment TBd is sorted from large to small to obtain the increment sequence.

[0025] As a further solution of the present invention, the method for generating a carbon emission reduction plan is:

[0026] Obtain the element item number sequence corresponding to the three element item value-added TBd in the value-added sequence, and generate the corresponding emission reduction coefficient αd according to the element item number sequence. The emission reduction coefficient αd satisfies the following limiting conditions:

[0027] Restriction condition 1: the emission reduction coefficient sequence composed of three emission reduction coefficients αd according to the element item number satisfies e1>e2>e3, and e1, e2, and e3 are the first element, the second element, and the third element of the emission reduction coefficient sequence respectively;

[0028] Condition 2: Multiply the reference parameter elements A1, A2 and A3 by the corresponding emission reduction coefficient αd to obtain the correction terms B1, B2 and B3. The correction parameter XC is calculated and obtained, and the correction parameter XC is not less than the standard parameter.

[0029] As a further solution of the present invention, the method for publishing a carbon emission reduction plan is:

[0030] Adjust the element items of the enterprise so that they are adjusted within the planned duration according to the correction items. The planned duration is calculated by the duration calculation formula JS = (BC-TC) × k2, BC is the standard parameter, k2 is the standard duration quantification coefficient; it is calculated by the plan execution parameter planning formula ZC = t÷JS × 100%, t is the actual duration of implementing the carbon emission reduction plan.

[0031] As a further solution of the present invention, the method for determining whether the carbon emission parameters match the planned execution parameters is:

[0032] The year-on-year growth rates of the carbon emission parameters and the plan execution parameters are calculated respectively and used as the first growth rate and the second growth rate respectively. The first growth rate and the second growth rate are used to calculate the difference between them to obtain the growth difference. The growth difference is compared with the standard deviation threshold. If the growth difference is not greater than the standard deviation threshold, it is determined that the carbon emission parameters and the plan execution parameters match; if the growth difference is greater than the standard deviation threshold, it is determined that the carbon emission parameters and the plan execution parameters do not match.

[0033] As a further solution of the present invention, the method for adjusting the carbon emission reduction plan is:

[0034] Obtain the element items after the implementation of the carbon emission reduction plan and mark them as C1, C2 and C3 respectively, calculate the growth analysis value Fd corresponding to the element item through the growth analysis formula Fd = (Cd-Ad) ÷ (Ad×αd), perform data analysis on the growth analysis value Fd, if the growth analysis value Fd belongs to the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is not adjusted; if the growth analysis value Fd is less than the minimum value of the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is reduced; if the growth analysis value Fd is greater than the maximum value of the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is increased;

[0035] The adjusted plan execution parameters and plan execution parameters are retroactively verified and iterated multiple times until the carbon emission reduction parameters match the plan execution parameters.

[0036] As a further solution of the present invention, the enterprise management module also includes:

[0037] The enterprise simulation unit is used to construct an enterprise simulation diagram according to the input enterprise spatial structure diagram; and configure corresponding models in the enterprise simulation diagram according to the devices corresponding to each IoT monitoring terminal;

[0038] The emission reduction project analysis unit is used to analyze emission reduction projects based on the enterprise simulation diagram;

[0039] The project implementation analysis unit is used to analyze the emission reduction projects analyzed, determine the implementation content, evaluate the difficulty of the implementation content and group the elements, and generate an emission reduction project grouping table;

[0040] A carbon emission reduction target determination unit, used to determine the carbon emission reduction target according to the carbon emission reduction plan;

[0041] The carbon emission reduction plan item determination unit determines and outputs the carbon emission reduction plan items according to the carbon emission reduction target and the carbon emission reduction project grouping table;

[0042] Among them, the project implementation analysis unit analyzes the analyzed emission reduction projects, determines the implementation content, evaluates the difficulty of the implementation content and groups the elements, and generates an emission reduction project grouping table, including:

[0043] According to the project parameters in the carbon emission reduction project, the corresponding implementation content is retrieved from the pre-configured implementation content analysis library;

[0044] Extracting features from the implementation content to obtain feature parameters; wherein the feature parameters include: a feature parameter indicating the number of implementation steps, a feature parameter indicating the implementation time, a feature parameter indicating the cost required for implementation, a feature parameter indicating the labor required for implementation, or one or more combinations thereof;

[0045] Determine the quantitative score corresponding to each feature parameter based on the pre-configured quantitative template;

[0046] Based on the quantitative score, the score of the carbon emission reduction project is calculated. The calculation formula is as follows:

[0047]

[0048] In the formula, P represents the score value; L i is the quantitative score corresponding to the i-th feature parameter; n represents the total number of feature parameters; α i is the pre-configured weight coefficient corresponding to the i-th feature parameter;

[0049] Based on the score value, determine the difficulty evaluation value from the pre-configured difficulty evaluation table;

[0050] Based on the characteristic parameter as the index item, the corresponding emission reduction benefit value is retrieved from the pre-configured emission reduction benefit evaluation library;

[0051] Determine the emission reduction project group to which the emission reduction project belongs according to the pre-configured element item grouping library;

[0052] The difficulty assessment values ​​and emission reduction benefit values ​​of the emission reduction projects corresponding to the emission reduction project groups corresponding to the same element item are counted to form a corresponding emission reduction project grouping table.

[0053] Among them, the carbon emission reduction plan item determination unit determines and outputs the carbon emission reduction plan items according to the carbon emission reduction target and the carbon emission reduction project grouping table, including:

[0054] Get the carbon reduction target corresponding to each element;

[0055] Comprehensively analyze the company's carbon reduction implementation history to determine the implementation coefficient of each carbon reduction project in the carbon reduction project grouping table corresponding to each element;

[0056] Determine the carbon emission reduction plan items according to the carbon emission reduction targets corresponding to each element item, the implementation coefficient of each carbon emission reduction item in the carbon emission reduction item grouping table, the difficulty assessment value and the emission reduction benefit value;

[0057] Among them, the carbon emission reduction implementation history of the enterprise is comprehensively analyzed to determine the implementation coefficient of each carbon emission reduction project in the carbon emission reduction project grouping table corresponding to each element, including:

[0058] Classify the historical records of carbon reduction implementation and correspond to carbon reduction projects;

[0059] When the carbon emission reduction project has a carbon emission reduction implementation history, the implementation coefficient is calculated according to the following formula:

[0060]

[0061] In the formula, γ kl K represents the implementation coefficient of the lth carbon emission reduction project in the carbon emission reduction project grouping table corresponding to the kth element; j估 , K j实 Respectively represent the estimated benefit and actual benefit of carbon emissions in the jth historical record; d j is the preset influence coefficient corresponding to the jth historical record; c is a preset constant; m is the total number of historical records;

[0062] When there is no historical record of carbon emission reduction implementation corresponding to the carbon emission reduction project, the comprehensive analysis coefficient of the enterprise shall be used as the implementation coefficient of the carbon emission reduction project. The calculation formula of the comprehensive analysis coefficient is as follows:

[0063]

[0064] Where Z represents the comprehensive analysis coefficient, z0 is the pre-configured initial value; μ1 is the pre-configured upward coefficient; μ2 is the pre-configured downward coefficient; μ1 is the number of times the expected benefit was not achieved in the historical records; μ2 is the number of times the expected benefit was achieved in the historical records; z min 、z max are pre-configured lower and upper limits respectively; when the ratio of the actual benefit to the estimated benefit is greater than a preset threshold, it is determined that the expected benefit has been reached, otherwise, it has not been reached.

[0065] Compared with the existing technology, the advantages of the present invention are: carbon emission parameters are obtained through the data processing module, the carbon emission reduction plan is issued through the plan issuing unit, the plan execution parameters are obtained through the plan monitoring unit, the carbon emission reduction parameters and the plan execution parameters are verified through the parameter verification module, and the carbon emission reduction plan is adjusted according to the verification results, so that the carbon emission reduction plan is more adapted to the development model of the enterprise and the monitoring and management of emissions is more efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a module flow chart of the present invention. DETAILED DESCRIPTION

[0067] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0068] Reference Figure 1 , a carbon emission monitoring and management system based on the industrial Internet of Things, including data acquisition module, data processing module, monitoring plan module, parameter verification module and enterprise management module;

[0069] The data collection module is used to collect IoT information and receive enterprise development data and carbon emission data uploaded by enterprises, and integrate the enterprise development data and carbon emission data into summary data;

[0070] The data processing module is used to analyze the aggregated data, obtain carbon emission parameters, and generate standard parameters based on the IoT information;

[0071] The method for obtaining carbon emission parameters is:

[0072] Carbon emission parameter calculation formula The carbon emission parameter TC is calculated, XC is the output of the operating project, k1 is the quantitative coefficient of the output, SGi is the emission reduction related equipment, hi is the equipment quantitative coefficient, i is the emission reduction related equipment number, i∈[1,n1], n1 is the total number of online emission reduction equipment; a is the standard base number; NYj is the energy consumption, Fj is the carbon emission quantitative standard function based on energy consumption, j is the energy type number, j∈[1,n2], n2 is the total number of energy;

[0073] k 1×XC, They are the three elements A1, A2 and A3 of the carbon emission parameter TC;

[0074] According to different management cycles, the corresponding carbon emission parameters TC are marked as first comparison parameters and second comparison parameters, and the first comparison parameters and the second comparison parameters are compared with the standard parameters to generate a comparison model;

[0075] The expression of the comparison model is:

[0076] FX is the analytical value of the comparison parameter;

[0077] A sequence is established according to the result generated by the comparison model, and the sequence is traversed. If there is no analysis value FX=0 in the sequence, a maintenance label is generated; if there is an analysis value FX=0 in the sequence, an analysis label is generated;

[0078] No carbon reduction plan is generated according to the maintenance tag; the cycle start time point of the management cycle corresponding to the first year-on-year parameter and the second year-on-year parameter is obtained according to the analysis tag, the two cycle start time points are marked on the timestamp, and the year-on-year parameter corresponding to the earlier cycle start time point is marked as the target parameter in the order of the timestamp, and the comparison parameter other than the target parameter is marked as the reference parameter, and the reference parameter is calculated with the target parameter to obtain the parameter difference. If the parameter difference is not less than 0, the same maintenance tag is generated; if the parameter difference is less than 0, an emission reduction tag is generated;

[0079] Using the year-on-year calculation formula based on emission reduction labels The element item increment TBd is calculated; CZd is the element item of the reference parameter, MBd is the element item of the target parameter, d is the element item number, d is a positive integer, d∈(1,2,3); the element item increment TBd is sorted from large to small to obtain the increment sequence;

[0080] Monitoring plan module, including plan release unit and plan monitoring unit;

[0081] A plan release unit, used to generate and release a carbon emission reduction plan to enterprises based on carbon emission parameters and standard parameters;

[0082] The method to generate a carbon reduction plan is:

[0083] Obtain the element item number sequence corresponding to the three element item value-added TBd in the value-added sequence, and generate the corresponding emission reduction coefficient αd according to the element item number sequence. The emission reduction coefficient αd satisfies the following limiting conditions:

[0084] Restriction condition 1: the emission reduction coefficient sequence composed of three emission reduction coefficients αd according to the element item number satisfies e1>e2>e3, and e1, e2, and e3 are the first element, the second element, and the third element of the emission reduction coefficient sequence respectively;

[0085] Condition 2: Multiply the reference parameter elements A1, A2 and A3 by the corresponding emission reduction coefficient αd to obtain the correction terms B1, B2 and B3. The correction parameter XC is calculated and obtained, and the correction parameter XC is not less than the standard parameter;

[0086] The method for publishing a carbon reduction plan is:

[0087] Adjust the element items of the enterprise so that they are adjusted within the planned duration according to the revised items. The planned duration is calculated by the duration calculation formula JS = (BC-TC) × k2, where BC is the standard parameter and k2 is the standard duration quantification coefficient; it is calculated by the plan execution parameter planning formula ZC = t ÷ JS × 100%, where t is the actual duration of the implementation of the carbon emission reduction plan;

[0088] The plan monitoring unit is used to monitor the implementation of the company's carbon emission reduction plan and generate plan execution parameters based on the implementation status;

[0089] The parameter verification module is used to verify the carbon emission parameters and the planned execution parameters, determine whether the carbon emission parameters and the planned execution parameters match, obtain the matching results, and mark the enterprise according to the matching results;

[0090] The method to determine whether the carbon emission parameters match the planned execution parameters is:

[0091] The year-on-year growth rates of the carbon emission parameters and the plan execution parameters are calculated respectively and used as the first growth rate and the second growth rate respectively. The first growth rate and the second growth rate are used to calculate the difference between them to obtain the growth difference. The growth difference is compared with the standard deviation threshold. If the growth difference is not greater than the standard deviation threshold, it is determined that the carbon emission parameters and the plan execution parameters match; if the growth difference is greater than the standard deviation threshold, it is determined that the carbon emission parameters and the plan execution parameters do not match.

[0092] Enterprise management module, including several management units, priority setting unit, and plan adjustment unit;

[0093] Management units, used to classify enterprises with the same mark into the same management unit for management, and classify enterprises with different marks into different management units for management; the plurality of management units include parameter matching units and parameter mismatching units;

[0094] The plan adjustment unit is used to adjust the carbon emission reduction plan corresponding to the enterprise under the parameter mismatch unit and manage the carbon emissions of the enterprise according to the carbon emission reduction optimization plan;

[0095] The carbon reduction plan is adjusted as follows:

[0096] Obtain the element items after the implementation of the carbon emission reduction plan and mark them as C1, C2 and C3 respectively, calculate the growth analysis value Fd corresponding to the element item through the growth analysis formula Fd = (Cd-Ad) ÷ (Ad×αd), perform data analysis on the growth analysis value Fd, if the growth analysis value Fd belongs to the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is not adjusted; if the growth analysis value Fd is less than the minimum value of the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is reduced; if the growth analysis value Fd is greater than the maximum value of the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is increased;

[0097] The adjusted plan execution parameters and plan execution parameters are retroactively verified and iterated multiple times until the carbon emission reduction parameters match the plan execution parameters.

[0098] In one embodiment, the enterprise management module further includes:

[0099] The enterprise simulation unit is used to construct an enterprise simulation diagram according to the input enterprise spatial structure diagram; and configure the corresponding model in the enterprise simulation diagram according to the equipment corresponding to each IoT monitoring terminal; the enterprise simulation diagram is a three-dimensional model diagram, that is, according to the equipment information of the equipment on the associated page of the IoT monitoring terminal, the corresponding model is retrieved from the pre-configured model library and placed in the three-dimensional model diagram; wherein the equipment information includes: equipment name, model, etc.;

[0100] The emission reduction project analysis unit is used to analyze emission reduction projects based on the enterprise simulation diagram. First, the energy-saving location area is analyzed according to the lighting distribution of the enterprise simulation diagram, and the emission reduction project corresponding to the lighting energy saving is constructed. According to the energy usage of each device, the emission reduction project corresponding to the device is analyzed, including: optimizing equipment, replacing equipment, etc.

[0101] The project implementation analysis unit is used to analyze the emission reduction projects analyzed, determine the implementation content, evaluate the difficulty of the implementation content and group the elements, and generate an emission reduction project grouping table;

[0102] The carbon reduction target determination unit is used to determine the carbon reduction target based on the carbon reduction plan; the carbon reduction target is essentially the amount of energy consumption that needs to be saved, and for gas-emitting enterprises, it also includes: the amount of waste gas discharged, etc.;

[0103] The carbon emission reduction plan item determination unit determines and outputs the carbon emission reduction plan items according to the carbon emission reduction target and the carbon emission reduction project grouping table;

[0104] Among them, the project implementation analysis unit analyzes the analyzed emission reduction projects, determines the implementation content, evaluates the difficulty of the implementation content and groups the elements, and generates an emission reduction project grouping table, including:

[0105] According to the project parameters in the carbon emission reduction project, the corresponding implementation content is retrieved from the pre-configured implementation content analysis library; wherein the implementation content analysis library is constructed in advance, and the implementation content and the project parameters are associated one by one in the library;

[0106] Extracting features from the implementation content to obtain feature parameters; wherein the feature parameters include: a feature parameter indicating the number of implementation steps, a feature parameter indicating the implementation time, a feature parameter indicating the cost required for implementation, a feature parameter indicating the labor required for implementation, or one or more combinations thereof;

[0107] According to the pre-configured quantization template, the quantization score corresponding to each feature parameter is determined; each feature parameter corresponds to a quantization template, and the function of the quantization template is to quantify and unify each feature parameter for subsequent analysis;

[0108] Based on the quantitative score, the score of the carbon emission reduction project is calculated. The calculation formula is as follows:

[0109]

[0110] In the formula, P represents the score value; L i is the quantitative score corresponding to the i-th feature parameter; n represents the total number of feature parameters; α i is the pre-configured weight coefficient corresponding to the i-th feature parameter;

[0111] Based on the score value, a difficulty evaluation value is determined from a pre-configured difficulty evaluation table; the difficulty evaluation table is constructed in advance, and the difficulty evaluation value and the score value are correspondingly associated in the difficulty evaluation table;

[0112] According to the characteristic parameter as the index item, the corresponding emission reduction benefit value is retrieved from the pre-configured emission reduction benefit evaluation library; the emission reduction benefit evaluation library is constructed by prior analysis, and the emission reduction benefit value and the characteristic parameter are associated one by one in the library;

[0113] Determine the emission reduction project group to which the emission reduction project belongs according to the pre-configured element item grouping library;

[0114] Count the difficulty assessment values ​​and emission reduction benefit values ​​of the emission reduction projects corresponding to the emission reduction project groups corresponding to the same element item to form a corresponding emission reduction project grouping table. The difficulty assessment and emission reduction benefit values ​​provide a data basis for the determination of subsequent carbon emission reduction projects and can provide enterprises with better reference data;

[0115] Among them, the carbon emission reduction plan item determination unit determines and outputs the carbon emission reduction plan items according to the carbon emission reduction target and the carbon emission reduction project grouping table, including:

[0116] Get the carbon reduction target corresponding to each element;

[0117] Comprehensively analyze the company's carbon reduction implementation history to determine the implementation coefficient of each carbon reduction project in the carbon reduction project grouping table corresponding to each element;

[0118] Determine the carbon emission reduction plan items according to the carbon emission reduction targets corresponding to each element item, the implementation coefficient of each carbon emission reduction project in the carbon emission reduction project grouping table, the difficulty assessment value and the emission reduction benefit value; when determining the carbon emission reduction plan items, first sort the items in the carbon emission reduction project grouping table according to the difficulty assessment value from small to large, multiply the carbon emission reduction benefit value and the implementation coefficient in order, and then add them up until it is greater than the carbon emission reduction target, and extract the carbon emission reduction projects in each carbon emission reduction project grouping table involved in the accumulation as the carbon emission reduction plan items;

[0119] Among them, the carbon emission reduction implementation history of the enterprise is comprehensively analyzed to determine the implementation coefficient of each carbon emission reduction project in the carbon emission reduction project grouping table corresponding to each element, including:

[0120] Classify the historical records of carbon reduction implementation and correspond to carbon reduction projects;

[0121] When the carbon emission reduction project has a carbon emission reduction implementation history, the implementation coefficient is calculated according to the following formula:

[0122]

[0123] In the formula, γ kl K represents the implementation coefficient of the lth carbon emission reduction project in the carbon emission reduction project grouping table corresponding to the kth element; j估 , K j实 Respectively represent the estimated benefit and actual benefit of carbon emissions in the jth historical record; d j is the preset impact coefficient corresponding to the jth historical record; c is the preset constant; m is the total number of historical records; among them, the estimated benefit is the amount of carbon emissions that can be reduced after the implementation of the carbon emission reduction strategy; the actual benefit is the amount of carbon emissions that can be reduced after the implementation of the carbon emission reduction strategy;

[0124] When there is no historical record of carbon emission reduction implementation corresponding to the carbon emission reduction project, the comprehensive analysis coefficient of the enterprise shall be used as the implementation coefficient of the carbon emission reduction project. The calculation formula of the comprehensive analysis coefficient is as follows:

[0125]

[0126] Where Z represents the comprehensive analysis coefficient, z0 is the pre-configured initial value; μ1 is the pre-configured upward coefficient; μ2 is the pre-configured downward coefficient; μ1 is the number of times the expected benefit was not achieved in the historical records; μ2 is the number of times the expected benefit was achieved in the historical records; z min 、zmax are pre-configured lower and upper limits respectively; when the ratio of the actual benefit to the estimated benefit is greater than a preset threshold, it is determined that the expected benefit has been reached, otherwise, it has not been reached.

[0127] The implementation coefficient is configured by analyzing the actual implementation situation of the enterprise, which can truly reflect the execution ability of the enterprise. In the process of making carbon emission reduction plans, it can realize the generation of personalized projects to ensure that the enterprise can accurately and effectively complete the carbon emission reduction plan.

[0128] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. Carbon emission monitoring and management system based on industrial Internet of Things, characterized by: It includes data acquisition module, data processing module, monitoring plan module, parameter verification module and enterprise management module; The data collection module is used to collect IoT information and receive enterprise development data and carbon emission data uploaded by enterprises, and integrate the enterprise development data and carbon emission data into summary data; The data processing module is used to analyze the aggregated data, obtain carbon emission parameters, and generate standard parameters based on the IoT information; Monitoring plan module, including plan release unit and plan monitoring unit; A plan release unit, used to generate and release a carbon emission reduction plan to enterprises based on carbon emission parameters and standard parameters; The plan monitoring unit is used to monitor the implementation of the company's carbon emission reduction plan and generate plan execution parameters based on the implementation status; The parameter verification module is used to verify the carbon emission parameters and the planned execution parameters, determine whether the carbon emission parameters and the planned execution parameters match, obtain the matching results, and mark the enterprise according to the matching results; Enterprise management module, including several management units, priority setting unit, and plan adjustment unit; Management units, used to classify enterprises with the same mark into the same management unit for management, and classify enterprises with different marks into different management units for management; the plurality of management units include parameter matching units and parameter mismatching units; The plan adjustment unit is used to adjust the carbon emission reduction plan corresponding to the enterprise under the parameter mismatch unit, and manage the carbon emissions of the enterprise according to the carbon emission reduction optimization plan.

2. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 1 is characterized in that: Enterprise development data includes the output of operating projects and emission reduction-related equipment, and carbon emission data consists of several energy consumption amounts.

3. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 2 is characterized in that: The method for obtaining carbon emission parameters is: Carbon emission parameter calculation formula The carbon emission parameter TC is calculated, XC is the output of the operating project, k1 is the quantitative coefficient of the output, SGi is the emission reduction related equipment, hi is the equipment quantitative coefficient, i is the emission reduction related equipment number, i∈[1,n1], n1 is the total number of online emission reduction equipment; a is the standard base number; NYj is the energy consumption, Fj is the carbon emission quantitative standard function based on energy consumption, j is the energy type number, j∈[1,n2], n2 is the total number of energy; Will They are respectively the three elements A1, A2 and A3 of the carbon emission parameter TC.

4. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 3 is characterized in that: According to different management cycles, the corresponding carbon emission parameters TC are marked as first comparison parameters and second comparison parameters, and the first comparison parameters and the second comparison parameters are compared with the standard parameters to generate a comparison model; The expression of the comparison model is: FX is the analytical value of the comparison parameter; Establish a sequence based on the results generated by the comparison model, traverse the sequence, and if there is no analysis value FX=0 in the sequence, generate a maintenance label; If there is an analysis value FX=0 in the sequence, an analysis tag is generated; No carbon reduction plan is generated according to the maintenance tag; the period start time point of the management period corresponding to the first year-on-year parameter and the second year-on-year parameter is obtained according to the analysis tag, the two period start time points are marked on the timestamp, and the year-on-year parameter corresponding to the earlier period start time point is marked as the target parameter in the order of the timestamp, and the comparison parameter other than the target parameter is marked as the reference parameter, and the reference parameter is calculated with the target parameter to obtain the parameter difference, and if the parameter difference is not less than 0, the same maintenance tag is generated; If the parameter difference is less than 0, an emission reduction label is generated; Using the year-on-year calculation formula based on emission reduction labels The element item increment TBd is calculated; CZd is the element item of the reference parameter, MBd is the element item of the target parameter, d is the element item number, d is a positive integer, d∈(1,2,3); the element item increment TBd is sorted from large to small to obtain the increment sequence.

5. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 4 is characterized in that: The method to generate a carbon reduction plan is: Obtain the element item number sequence corresponding to the three element item value-added TBd in the value-added sequence, and generate the corresponding emission reduction coefficient αd according to the element item number sequence. The emission reduction coefficient αd satisfies the following limiting conditions: Restriction condition 1: the emission reduction coefficient sequence composed of three emission reduction coefficients αd according to the element item number satisfies e1>e2>e3, and e1, e2, and e3 are the first element, the second element, and the third element of the emission reduction coefficient sequence respectively; Condition 2: Multiply the reference parameter elements A1, A2 and A3 by the corresponding emission reduction coefficient αd to obtain the correction terms B1, B2 and B3. The correction parameter XC is calculated and obtained, and the correction parameter XC is not less than the standard parameter.

6. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 5 is characterized in that: The method for publishing a carbon reduction plan is: Adjust the element items of the enterprise so that they are adjusted within the planned duration according to the revised items. The planned duration is calculated by the duration calculation formula JS = (BC-TC) × k2, where BC is the standard parameter and k2 is the standard duration quantification coefficient; It is calculated through the planning execution parameter planning formula ZC=t÷JS×100%, where t is the actual duration of implementing the carbon emission reduction plan.

7. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 6 is characterized in that: The method to determine whether the carbon emission parameters match the planned execution parameters is: The year-on-year growth rates of the carbon emission parameters and the plan execution parameters are calculated respectively and used as the first growth rate and the second growth rate respectively. The first growth rate and the second growth rate are used to calculate the difference between them to obtain the growth difference. The growth difference is compared with the standard deviation threshold. If the growth difference is not greater than the standard deviation threshold, it is determined that the carbon emission parameters and the plan execution parameters match; if the growth difference is greater than the standard deviation threshold, it is determined that the carbon emission parameters and the plan execution parameters do not match.

8. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 7 is characterized in that: The carbon reduction plan is adjusted as follows: Obtain the element items after the implementation of the carbon emission reduction plan and mark them as C1, C2 and C3 respectively, calculate the growth analysis value Fd corresponding to the element item through the growth analysis formula Fd = (Cd-Ad) ÷ (Ad×αd), perform data analysis on the growth analysis value Fd, if the growth analysis value Fd belongs to the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is not adjusted; if the growth analysis value Fd is less than the minimum value of the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is reduced; if the growth analysis value Fd is greater than the maximum value of the standard range (1-Fy, 1+Fy), then the emission reduction coefficient αd corresponding to the growth analysis value Fd is increased; The adjusted carbon emission parameters and plan execution parameters are retroactively checked and iterated until the carbon emission reduction parameters match the plan execution parameters.

9. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 1 is characterized in that: The enterprise management module also includes: The enterprise simulation unit is used to construct an enterprise simulation diagram according to the input enterprise spatial structure diagram; and configure corresponding models in the enterprise simulation diagram according to the devices corresponding to each IoT monitoring terminal; The emission reduction project analysis unit is used to analyze emission reduction projects based on the enterprise simulation diagram; The project implementation analysis unit is used to analyze the emission reduction projects analyzed, determine the implementation content, evaluate the difficulty of the implementation content and group the elements, and generate an emission reduction project grouping table; A carbon emission reduction target determination unit, used to determine the carbon emission reduction target according to the carbon emission reduction plan; The carbon emission reduction plan item determination unit determines and outputs the carbon emission reduction plan items according to the carbon emission reduction target and the carbon emission reduction project grouping table; Among them, the project implementation analysis unit analyzes the analyzed emission reduction projects, determines the implementation content, evaluates the difficulty of the implementation content and groups the elements, and generates an emission reduction project grouping table, including: According to the project parameters in the carbon emission reduction project, the corresponding implementation content is retrieved from the pre-configured implementation content analysis library; Extracting features from the implementation content to obtain feature parameters; wherein the feature parameters include: a feature parameter indicating the number of implementation steps, a feature parameter indicating the implementation time, a feature parameter indicating the cost required for implementation, a feature parameter indicating the labor required for implementation, or one or more combinations thereof; Determine the quantitative score corresponding to each feature parameter based on the pre-configured quantitative template; Based on the quantitative score, the score of the carbon emission reduction project is calculated. The calculation formula is as follows: In the formula, P represents the score value; L i is the quantitative score corresponding to the i-th feature parameter; n represents the total number of feature parameters; α i is the pre-configured weight coefficient corresponding to the i-th feature parameter; Based on the score value, determine the difficulty evaluation value from the pre-configured difficulty evaluation table; Based on the characteristic parameter as the index item, the corresponding emission reduction benefit value is retrieved from the pre-configured emission reduction benefit evaluation library; Determine the emission reduction project group to which the emission reduction project belongs according to the pre-configured element item grouping library; The difficulty assessment values ​​and emission reduction benefit values ​​of the emission reduction projects corresponding to the emission reduction project groups corresponding to the same element item are counted to form a corresponding emission reduction project grouping table.

10. The carbon emission monitoring and management system based on industrial Internet of Things according to claim 9 is characterized in that: The carbon emission reduction plan item determination unit determines and outputs the carbon emission reduction plan items according to the carbon emission reduction target and the carbon emission reduction project grouping table, including: Get the carbon reduction target corresponding to each element; Comprehensively analyze the company's carbon reduction implementation history to determine the implementation coefficient of each carbon reduction project in the carbon reduction project grouping table corresponding to each element; Determine the carbon emission reduction plan items according to the carbon emission reduction targets corresponding to each element item, the implementation coefficient of each carbon emission reduction item in the carbon emission reduction item grouping table, the difficulty assessment value and the emission reduction benefit value; Among them, the carbon emission reduction implementation history of the enterprise is comprehensively analyzed to determine the implementation coefficient of each carbon emission reduction project in the carbon emission reduction project grouping table corresponding to each element, including: Classify the historical records of carbon reduction implementation and correspond to carbon reduction projects; When the carbon emission reduction project has a carbon emission reduction implementation history, the implementation coefficient is calculated according to the following formula: In the formula, γ kl K represents the implementation coefficient of the lth carbon emission reduction project in the carbon emission reduction project grouping table corresponding to the kth element; j估 , K j实 Respectively represent the estimated benefit and actual benefit of carbon emissions in the jth historical record; d j is the preset influence coefficient corresponding to the jth historical record; c is the preset constant; n is the total number of historical records; When there is no historical record of carbon emission reduction implementation corresponding to the carbon emission reduction project, the comprehensive analysis coefficient of the enterprise shall be used as the implementation coefficient of the carbon emission reduction project. The calculation formula of the comprehensive analysis coefficient is as follows: Where Z represents the comprehensive analysis coefficient, z0 is the pre-configured initial value; μ1 is the pre-configured upward coefficient; μ2 is the pre-configured downward coefficient; μ1 is the number of times the expected benefit was not achieved in the historical records; μ2 is the number of times the expected benefit was achieved in the historical records; z min 、z max are pre-configured lower and upper limits respectively; when the ratio of the actual benefit to the estimated benefit is greater than a preset threshold, it is determined that the expected benefit has been reached, otherwise, it has not been reached.

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