Carbon emission monitoring management platform for enterprise

Abstract

The invention provides a carbon emission monitoring management platform for an enterprise, and relates to the technical field of carbon emission monitoring, and the platform comprises the steps: connecting monitoring equipment to collect energy data, integrating an emission source to collect direct and indirect emission data, setting short-term and long-term low-carbon adjustment schemes according to the data and an emission target, and continuously monitoring and managing the carbon emission of the enterprise. The technical problems that in the process of enterprise scale change or business mode adjustment, carbon emission data are difficult to effectively analyze and excavate, and emission reduction strategies are lack of pertinence are solved, and the purpose that in the process of enterprise scale change or business mode adjustment, carbon emission can be effectively analyzed and excavated according to changes of the source, the type and the intensity of carbon emission is achieved. And the technical effects of optimizing emission reduction measures and assisting enterprises to realize green and sustainable development are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission monitoring, and in particular to a carbon emission monitoring and management platform for an enterprise. Background Art

[0002] As the main participants in economic activities, the carbon emissions generated by enterprises in their production and operation processes cannot be ignored. However, in the process of enterprise operations, various data such as energy consumption, production output, material usage, etc. are constantly changing. These changes directly affect the carbon emissions of enterprises. As the scale of enterprises expands or their business models adjust, the sources, types and intensity of their carbon emissions will change significantly. Conventional carbon emission monitoring is difficult to effectively analyze and mine carbon emission data, and thus cannot provide enterprises with valuable carbon emission insights.

[0003] In the existing technology, it is difficult to effectively analyze and mine carbon emission data during changes in enterprise scale or adjustments in business model, and emission reduction strategies lack targeted technical problems. Summary of the invention

[0004] This application provides a carbon emission monitoring and management platform for enterprises, which solves the technical problems of difficulty in effectively analyzing and mining carbon emission data and lack of targeted emission reduction strategies during changes in enterprise scale or business model adjustments. It achieves the technical effect of comparing changes in the source, type and intensity of carbon emissions during changes in enterprise scale or business model adjustments, optimizing emission reduction measures and helping enterprises achieve green and sustainable development.

[0005] In view of the above problems, the present application provides a carbon emission monitoring and management platform for enterprises.

[0006] The present application provides a carbon emission monitoring and management platform for an enterprise, which includes: a data acquisition module for connecting to a multi-source monitoring device to collect energy usage data, wherein the multi-source monitoring device includes an electricity meter, a gas meter, and a water meter;

[0007] The data collection module is used to collect the direct and indirect emission data of the target enterprise during the production process through integration with various carbon emission sources;

[0008] A first low-carbon adjustment module is used to use the energy usage data and the direct emission data to add a first emission initial threshold, and to set a first short-term low-carbon adjustment plan and a first long-term low-carbon adjustment plan in combination with the carbon emission target of the target enterprise;

[0009] A second low-carbon adjustment module is used to use the energy usage data and the indirect emission data to add a second emission initial threshold, and to set a second short-term low-carbon adjustment plan and a second long-term low-carbon adjustment plan in combination with the carbon emission target of the target enterprise;

[0010] A monitoring and management module is used to continuously monitor and manage the carbon emissions of the target enterprise based on the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan, the second short-term low-carbon adjustment plan and the second long-term low-carbon adjustment plan.

[0011] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0012] By connecting monitoring equipment to collect energy data, integrating emission sources to collect direct and indirect emission data, setting short-term and long-term low-carbon adjustment plans based on data and emission targets, and continuously monitoring and managing corporate carbon emissions, this application achieves the technical effect of optimizing emission reduction measures and helping companies achieve green and sustainable development by comparing changes in the source, type and intensity of carbon emissions during changes in corporate scale or business model adjustments. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a structural diagram of a carbon emission monitoring and management platform for an enterprise for the present application. DETAILED DESCRIPTION

[0014] This application provides a carbon emission monitoring and management platform for enterprises, which solves the technical problems of difficulty in effectively analyzing and mining carbon emission data and lack of targeted emission reduction strategies during changes in enterprise scale or business model adjustments. It achieves the technical effect of comparing changes in the source, type and intensity of carbon emissions during changes in enterprise scale or business model adjustments, optimizing emission reduction measures and helping enterprises achieve green and sustainable development.

[0015] Embodiment 1

[0016] like Figure 1 As shown, the present application provides a carbon emission monitoring and management platform for an enterprise, which includes:

[0017] The data acquisition module is used to connect to multi-source monitoring equipment to collect energy usage data. The multi-source monitoring equipment includes an electricity meter, a gas meter, and a water meter.

[0018] The data collection module is used to collect the direct and indirect emission data of the target enterprise in the production process through integration with various carbon emission sources.

[0019] Specifically, when building a carbon emission monitoring and management platform, connecting multi-source monitoring equipment and collecting energy usage data is one of the key steps. Multi-source monitoring equipment usually includes electricity meters, gas meters and water meters, which are used to monitor the company's electricity, gas and water usage respectively; by connecting with these devices, the platform can obtain detailed data on the company's energy consumption in real time, providing a basis for subsequent carbon emission calculations and analysis.

[0020] In addition, it is also necessary to integrate with various carbon emission sources to collect direct and indirect emission data of the target enterprises in the production process. Direct emission data mainly comes from greenhouse gas emissions generated in the production process of enterprises, such as fuel combustion, process, etc., while indirect emission data is mainly related to electricity, heat and other energy purchased by enterprises. The collection of these data helps to fully understand the carbon emissions of enterprises and provide a basis for subsequent low-carbon adjustment plans.

[0021] To sum up, by connecting multi-source monitoring equipment and integrating data from various carbon emission sources, the carbon emission monitoring management platform can realize comprehensive monitoring and analysis of corporate energy consumption and carbon emissions, providing strong support for the company's energy conservation, emission reduction and low-carbon development.

[0022] The first low-carbon adjustment module is used to use the energy usage data and the direct emission data to add a first emission initial threshold, and to set a first short-term low-carbon adjustment plan and a first long-term low-carbon adjustment plan in combination with the carbon emission target of the target enterprise.

[0023] The second low-carbon adjustment module is used to use the energy usage data and the indirect emission data to add a second emission initial threshold, and to set a second short-term low-carbon adjustment plan and a second long-term low-carbon adjustment plan in combination with the carbon emission target of the target enterprise.

[0024] A monitoring and management module is used to continuously monitor and manage the carbon emissions of the target enterprise based on the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan, the second short-term low-carbon adjustment plan and the second long-term low-carbon adjustment plan.

[0025] Specifically, the collected energy usage data and direct emission data are used in combination with the carbon emission targets set by the enterprise to formulate short-term and long-term low-carbon adjustment plans; first, a first emission initial threshold is added, which is set based on the enterprise's current carbon emissions and emission reduction capabilities; then, in combination with the enterprise's carbon emission targets (emission reduction indicators stipulated by the industry or sustainable development goals set by the enterprise itself), energy usage data and direct emission data are analyzed to find out the potential and key points for emission reduction; finally, based on the analysis results, the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan are set respectively; the short-term low-carbon adjustment plan includes some quick-acting energy-saving measures or emission control measures, while the long-term low-carbon adjustment plan involves deeper process improvements or equipment updates.

[0026] Set a second initial emission threshold, targeting the company's indirect carbon emissions; use energy usage data and indirect emission data, combined with carbon emission targets, to conduct in-depth analysis to identify emission reduction opportunities in indirect emissions, formulate a second short-term low-carbon adjustment plan and a second long-term low-carbon adjustment plan, and focus more on supply chain optimization, energy procurement strategy adjustment and other aspects.

[0027] Continuously monitor and manage the company's carbon emissions to ensure the effective implementation of the low-carbon adjustment plan, and make necessary adjustments based on actual conditions. Specifically, based on the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan, as well as the second short-term low-carbon adjustment plan and the second long-term low-carbon adjustment plan, continuously track and monitor the company's carbon emissions; evaluate the implementation effect of the low-carbon adjustment plan through real-time data comparison and analysis, and promptly discover and correct existing problems; in addition, based on the actual situation of the company's carbon emissions and changes in the external environment (such as policy adjustments, market changes, etc.), dynamically update and optimize the low-carbon adjustment plan to ensure that the company can continuously and effectively achieve its emission reduction targets.

[0028] Furthermore, the first low-carbon adjustment module includes:

[0029] During the production process of the target enterprise, high energy consumption nodes are added, and the high energy consumption nodes include production equipment drive nodes, energy conversion nodes, and auxiliary production equipment drive nodes.

[0030] Through the high energy consumption nodes, equipment operating parameters are introduced to perform energy efficiency analysis and identify energy efficiency abnormal nodes.

[0031] For the energy efficiency abnormality node, in each energy consumption cycle, combined with the carbon emission target of the target enterprise, a first short-term low-carbon adjustment plan is set.

[0032] Specifically, in the production process of the target enterprise, the high-energy consumption nodes must be identified first. These nodes are usually production equipment drive nodes, energy conversion nodes and auxiliary production equipment drive nodes. These nodes consume a lot of energy in the production process and are therefore the key points for low-carbon adjustment. For each high-energy consumption node, relevant equipment operating parameters need to be introduced. These parameters may include equipment operating time, power, efficiency, etc. These data are crucial for subsequent energy efficiency analysis. Using the collected equipment operating parameters, energy efficiency analysis is performed on each high-energy consumption node. By comparing the actual energy efficiency with the theoretical energy efficiency, or by comparing with industry standards, nodes with abnormal energy efficiency can be identified. Nodes with abnormal energy efficiency mean that these nodes have wasteful or unreasonable energy utilization.

[0033] Once nodes with abnormal energy efficiency are identified, specific low-carbon adjustment plans need to be formulated for these nodes, including optimizing equipment operation, replacing high-efficiency equipment, improving process flow, etc. The formulation of the plan needs to be combined with the carbon emission targets of the target enterprise to ensure that emission reduction effects can be achieved in the short term; after the low-carbon adjustment plan is formulated, it is necessary to evaluate the effectiveness of the plan through continuous monitoring in actual production. If the effect is not good, the plan may need to be adjusted or optimized.

[0034] Through the above steps, enterprises can formulate effective low-carbon adjustment plans for high-energy consumption nodes in the production process, thereby reducing carbon emissions in the short term, which can not only help enterprises meet environmental protection requirements but also improve energy utilization efficiency.

[0035] Furthermore, the first low-carbon adjustment module further includes:

[0036] According to the device operation parameters, historical operation instances of the device are obtained.

[0037] Through the historical operation examples of the equipment, carbon emission fluctuations are analyzed and emission fluctuation factors associated with emission trends are extracted.

[0038] According to the emission fluctuation factors associated with the emission trend, M energy consumption cycles are set, and combined with the carbon emission targets of the target enterprises, the first long-term low-carbon adjustment plan is set.

[0039] Specifically, based on the previously collected equipment operating parameters, the equipment's operating instances over the past period of time are obtained. These historical data are crucial for analyzing the equipment's operating efficiency and carbon emissions. By analyzing the data in the equipment's historical operating instances, fluctuations in carbon emissions are observed, including identifying peak and trough periods of carbon emissions, and understanding the impact of various factors on carbon emissions.

[0040] In the process of analyzing carbon emission fluctuations, it is necessary to extract fluctuation factors that are closely related to emission trends, such as equipment aging, changes in production load, and differences in raw material quality. Understanding these factors will help find potential ways to reduce carbon emissions. According to the extracted emission fluctuation factors, M energy consumption cycles are set, each cycle represents a different production stage or equipment status, and then, combined with the carbon emission targets of the target enterprises, a specific low-carbon adjustment plan is formulated for each energy consumption cycle, including equipment maintenance plans, production process optimization, energy replacement strategies, etc. The implementation of long-term low-carbon adjustment plans requires a continuous monitoring and feedback mechanism. By regularly evaluating the implementation effect of the plan, adjustments and optimizations are made according to actual conditions to ensure that the expected emission reduction targets are achieved.

[0041] Furthermore, the first low-carbon adjustment module further includes:

[0042] A carbon emission trend analysis model is constructed through historical operation examples of the equipment.

[0043] According to the carbon emission trend analysis model, carbon emission fluctuations are analyzed to determine a set of emission fluctuation factors.

[0044] In the emission fluctuation factor set, emission fluctuation factors associated with emission trends are screened, and the emission fluctuation factors are key factors of carbon emission fluctuations.

[0045] Furthermore, the first low-carbon adjustment module further includes:

[0046] The set of emission fluctuation factors includes changes in production activities, energy consumption structure, and equipment energy utilization efficiency.

[0047] Specifically, first, a carbon emission trend analysis model needs to be built. This step can use the historical operation data of the equipment, combined with data analysis techniques such as machine learning or statistical analysis methods, to identify and predict the trend of carbon emissions. The model can include linear regression, time series analysis, and neural networks; then, based on the constructed carbon emission trend analysis model, an in-depth analysis of carbon emission fluctuations is conducted, including the cleaning, integration, and visualization of historical carbon emission data, so that the fluctuation of carbon emissions can be observed more intuitively; through the calculation and analysis of the model, a set of factors that affect carbon emission fluctuations can be determined, including changes in production activities, energy consumption structure, and equipment energy utilization efficiency.

[0048] Then, in the determined set of emission fluctuation factors, further screening emission fluctuation factors directly related to emission trends requires the use of statistical analysis methods, such as correlation analysis and regression analysis, to determine which factors have a significant impact on carbon emission fluctuations and identify the key factors.

[0049] Specifically, changes in production activities refer to the fact that the increase or decrease in production activities will directly affect energy consumption and carbon emissions. For example, peak production periods may lead to increased carbon emissions, while low production periods may reduce carbon emissions. Therefore, analyzing the changing trends of production activities is crucial to understanding carbon emission fluctuations. Energy consumption structure refers to the fact that different types of energy (such as coal, oil, natural gas, renewable energy, etc.) produce different carbon emissions during combustion or use. Therefore, changes in energy consumption structure will directly affect carbon emissions. For example, if companies use more clean energy to replace fossil energy, carbon emissions may be reduced accordingly. Equipment energy efficiency refers to the fact that the energy efficiency of equipment will also directly affect carbon emissions. Efficient equipment can make more full use of energy, thereby reducing unnecessary energy consumption and carbon emissions. Therefore, improving equipment energy efficiency is one of the effective ways to reduce carbon emissions.

[0050] In summary, by analyzing the carbon emission data in the historical operation instances of the equipment, building a carbon emission trend analysis model, determining the set of factors that affect carbon emission fluctuations, and screening out emission fluctuation factors directly related to the emission trend, it will help companies to understand their own carbon emissions more accurately and formulate targeted emission reduction measures.

[0051] Furthermore, the first low-carbon adjustment module further includes:

[0052] A first carbon emission trend trajectory is established based on the historical operation instances of the equipment and the M energy consumption cycles.

[0053] The emission trend corresponding to the first short-term low-carbon adjustment plan and the emission trend corresponding to the first long-term low-carbon adjustment plan are incorporated into the first carbon emission trend trajectory.

[0054] At the same time, the model parameters of the carbon emission trend analysis model are updated.

[0055] Furthermore, the first low-carbon adjustment module further includes:

[0056] The emission trend corresponding to the first short-term low-carbon adjustment plan includes a carbon emission intensity unit vector and a carbon emission intensity ratio vector.

[0057] Specifically, first, based on the data of historical equipment operation instances and multiple energy consumption cycles, the first carbon emission trend trajectory is established. The basic trend of carbon emissions is depicted using historical data, which helps to understand how carbon emissions have changed over the past period of time. Next, the emission trend corresponding to the first short-term low-carbon adjustment plan and the emission trend corresponding to the first long-term low-carbon adjustment plan are incorporated into the first carbon emission trend trajectory. This step is to take into account future low-carbon adjustment plans, so as to more comprehensively predict and analyze carbon emission trends. Short-term and long-term low-carbon adjustment plans may include various energy-saving and emission reduction measures, such as improving energy efficiency and using clean energy.

[0058] At the same time, it is also necessary to update the model parameters of the carbon emission trend analysis model, including the carbon emission coefficient, energy consumption, energy structure, etc., which will affect the calculation of carbon emissions. By continuously updating these parameters, the model can more accurately reflect the actual situation; the emission trend corresponding to the first short-term low-carbon adjustment plan includes the carbon emission intensity unit vector and the carbon emission intensity ratio vector. The carbon emission intensity unit vector represents the carbon emissions of each energy source, while the carbon emission intensity ratio vector reflects the proportion of different energy sources in the total carbon emissions. These two vectors can help to more deeply understand the structure and proportion of carbon emissions, so as to formulate more effective low-carbon adjustment plans.

[0059] In summary, building a carbon emission trend analysis model through historical equipment operation examples is a process involving multiple steps and parameters. It is necessary to make full use of historical data, low-carbon adjustment plans, and continuously update model parameters to ensure the accuracy and practicality of the model, so as to better predict future carbon emission trends and formulate corresponding response strategies.

[0060] Furthermore, the first low-carbon adjustment module further includes:

[0061] The emission trend corresponding to the first short-term low-carbon adjustment plan and the emission trend corresponding to the first long-term low-carbon adjustment plan are incorporated into the first carbon emission trend trajectory. After that, a stability analysis of the enterprise's carbon emissions is performed to obtain a carbon emission stability index.

[0062] According to the carbon emission stability index and compared with the M energy consumption cycles, the emission reduction effects of the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan in different energy consumption cycles are evaluated respectively to obtain the emission reduction evaluation index.

[0063] According to the emission reduction evaluation index, the cycle lengths of the M energy consumption cycles are synchronously updated.

[0064] Specifically, first of all, stability analysis of corporate carbon emissions is a key link in continuous monitoring and management. After incorporating the emission trends corresponding to the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan into the first carbon emission trend trajectory, the overall trend of carbon emissions can be observed. The stability analysis aims to assess whether this trend is stable and whether there are abnormal fluctuations; through professional data analysis methods, the carbon emission stability index can be calculated. The carbon emission stability index can quantitatively reflect the fluctuation of carbon emissions and provide a basis for subsequent management and regulation.

[0065] Next, according to the carbon emission stability index, it is necessary to compare M energy consumption cycles to evaluate the emission reduction effects of the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan in different energy consumption cycles. The purpose of this step is to understand the emission reduction effectiveness of different adjustment plans in actual operation; by comparing the emission reduction data under different energy consumption cycles, the emission reduction evaluation index can be calculated. The emission reduction evaluation index can objectively evaluate the advantages and disadvantages of various low-carbon adjustment plans, thereby providing guidance for subsequent optimization and adjustment.

[0066] Finally, according to the emission reduction evaluation indicators, the cycle lengths of the M energy consumption cycles need to be updated synchronously. In the actual operation process, with the implementation of the low-carbon adjustment plan and the change of equipment performance, the length of the energy consumption cycle may also change; by updating the length of the energy consumption cycle in real time, the accuracy and timeliness of monitoring and management can be ensured.

[0067] In summary, continuous monitoring and management of carbon emissions of target enterprises requires the comprehensive use of methods such as stability analysis, emission reduction effect evaluation and energy consumption cycle length update to help better understand the carbon emissions of enterprises and provide strong support for the formulation and optimization of low-carbon adjustment plans.

[0068] In summary, the carbon emission monitoring and management platform for enterprises provided by this application has the following technical effects:

[0069] By connecting monitoring equipment to collect energy data, integrating emission sources to collect direct and indirect emission data, setting short-term and long-term low-carbon adjustment plans based on data and emission targets, and continuously monitoring and managing corporate carbon emissions, this application provides a carbon emission monitoring and management platform for enterprises. It solves the technical problems of difficulty in effectively analyzing and mining carbon emission data and lack of targeted emission reduction strategies during changes in enterprise scale or business model adjustments. It achieves the technical effect of optimizing emission reduction measures and helping enterprises achieve green and sustainable development by comparing changes in the source, type and intensity of carbon emissions during changes in enterprise scale or business model adjustments.

[0070] Since the emission trends corresponding to the first short-term low-carbon adjustment plan and the emission trends corresponding to the first long-term low-carbon adjustment plan are incorporated into the first carbon emission trend trajectory, the stability analysis of the enterprise's carbon emissions is then performed to obtain the carbon emission stability index; according to the carbon emission stability index, the emission reduction effects of the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan in different energy consumption cycles are evaluated against M energy consumption cycles to obtain the emission reduction evaluation index; according to the emission reduction evaluation index, the cycle lengths of the M energy consumption cycles are synchronously updated. Continuous monitoring and management of carbon emissions of target enterprises requires the comprehensive use of stability analysis, emission reduction effect evaluation, and energy consumption cycle length update methods to help better understand the carbon emissions of enterprises and provide strong support for the formulation and optimization of low-carbon adjustment plans.

[0071] This specification and drawings are merely exemplary illustrations of the present application, and various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. These modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, and the present application intends to include these modifications and variations.

Claims

1. A carbon emission monitoring and management platform for enterprises, characterized in that: include: A data acquisition module, used to connect to a multi-source monitoring device to collect energy usage data, wherein the multi-source monitoring device includes an electricity meter, a gas meter, and a water meter; The data collection module is used to collect the direct and indirect emission data of the target enterprise during the production process through integration with various carbon emission sources; A first low-carbon adjustment module is used to use the energy usage data and the direct emission data to add a first emission initial threshold, and to set a first short-term low-carbon adjustment plan and a first long-term low-carbon adjustment plan in combination with the carbon emission target of the target enterprise; A second low-carbon adjustment module is used to use the energy usage data and the indirect emission data to add a second emission initial threshold, and to set a second short-term low-carbon adjustment plan and a second long-term low-carbon adjustment plan in combination with the carbon emission target of the target enterprise; A monitoring and management module is used to continuously monitor and manage the carbon emissions of the target enterprise based on the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan, the second short-term low-carbon adjustment plan and the second long-term low-carbon adjustment plan.

2. A carbon emission monitoring and management platform for an enterprise as claimed in claim 1, characterized in that: Using the energy usage data and the direct emission data, adding a first emission initial threshold, and combining the carbon emission target of the target enterprise, setting a first short-term low-carbon adjustment plan, including: During the production process of the target enterprise, high energy consumption nodes are added, wherein the high energy consumption nodes include production equipment drive nodes, energy conversion nodes, and auxiliary production equipment drive nodes; Through the high energy consumption nodes, equipment operation parameters are introduced to perform energy efficiency analysis and identify energy efficiency abnormal nodes; For the energy efficiency abnormality node, in each energy consumption cycle, combined with the carbon emission target of the target enterprise, a first short-term low-carbon adjustment plan is set.

3. A carbon emission monitoring and management platform for enterprises as claimed in claim 2, characterized in that: Using the energy usage data and the direct emission data, adding a first emission initial threshold, and combining the carbon emission target of the target enterprise, setting a first long-term low-carbon adjustment plan, including: According to the equipment operation parameters, obtaining a historical operation instance of the equipment; Analyze carbon emission fluctuations through historical operation examples of the equipment and extract emission fluctuation factors associated with emission trends; According to the emission fluctuation factors associated with the emission trend, M energy consumption cycles are set, and combined with the carbon emission targets of the target enterprises, the first long-term low-carbon adjustment plan is set.

4. A carbon emission monitoring and management platform for enterprises as claimed in claim 3, characterized in that: Through the historical operation examples of the equipment, carbon emission fluctuations are analyzed and emission fluctuation factors associated with emission trends are extracted, including: Building a carbon emission trend analysis model through historical operation examples of the equipment; Analyze carbon emission fluctuations according to the carbon emission trend analysis model and determine a set of emission fluctuation factors; In the emission fluctuation factor set, emission fluctuation factors associated with emission trends are screened, and the emission fluctuation factors are key factors of carbon emission fluctuations.

5. A carbon emission monitoring and management platform for enterprises as claimed in claim 3, characterized in that: The set of emission fluctuation factors includes changes in production activities, energy consumption structure, and equipment energy utilization efficiency.

6. A carbon emission monitoring and management platform for enterprises as claimed in claim 4, characterized in that: Based on the historical operation examples of the equipment, a carbon emission trend analysis model is constructed, including: Establishing a first carbon emission trend trajectory according to the historical operation instance of the equipment and the M energy consumption cycles; Incorporating the emission trend corresponding to the first short-term low-carbon adjustment plan and the emission trend corresponding to the first long-term low-carbon adjustment plan into the first carbon emission trend trajectory; At the same time, the model parameters of the carbon emission trend analysis model are updated.

7. A carbon emission monitoring and management platform for enterprises as claimed in claim 6, characterized in that: The emission trend corresponding to the first short-term low-carbon adjustment plan includes a carbon emission intensity unit vector and a carbon emission intensity ratio vector.

8. A carbon emission monitoring and management platform for an enterprise as claimed in claim 7, characterized in that: Continuous monitoring and management of carbon emissions of the target enterprises, including: The emission trend corresponding to the first short-term low-carbon adjustment plan and the emission trend corresponding to the first long-term low-carbon adjustment plan are incorporated into the first carbon emission trend trajectory, and then a stability analysis is performed on the carbon emissions of the enterprise to obtain a carbon emission stability index; According to the carbon emission stability index, and in comparison with the M energy consumption cycles, respectively evaluate the emission reduction effects of the first short-term low-carbon adjustment plan and the first long-term low-carbon adjustment plan in different energy consumption cycles to obtain an emission reduction evaluation index; According to the emission reduction evaluation index, the cycle lengths of the M energy consumption cycles are synchronously updated.

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