Environmental protection supervision method and system based on electric power environmental protection data fusion

By obtaining enterprise power and environmental protection data to calculate environmental protection contribution index, generating contribution marks, and combining with the power big data platform for differentiated supervision, the problem of monitoring difficulties of environmental protection departments is solved, efficient and low-cost environmental protection supervision is achieved, and emergency response results are improved.

CN120278550APending Publication Date: 2025-07-08ZIYANG POWER SUPPLY COMPANY STATE GRID SICHUAN ELECTRIC POWER
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Patent Information

Application Number
CN202510357590.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-25
Publication Date
2025-07-08

AI Technical Summary

Technical Problem

The environmental protection department does not have effective monitoring means to monitor the environmental responses such as production and energy restrictions in enterprises, resulting in poor implementation of emergency response measures for severe pollution weather warnings, high supervision costs and poor results.

Method used

By obtaining the company's power data and environmental protection data, calculating the environmental protection contribution index, generating environmental protection contribution marks, and performing differentiated supervision and control according to different monitoring cycles, and real-time monitoring is carried out in conjunction with the power big data platform.

Benefits of technology

It has achieved effective supervision and control of enterprises by the environmental protection department, reduced supervision costs, improved supervision effects and the implementation of emergency response measures, and improved the comprehensive economic, social and environmental value.

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Abstract

The invention belongs to the technical field of environmental protection management and control, and relates to an environmental protection supervision method and system based on electric power environmental protection data fusion. Obtaining an environmental protection contribution index according to the enterprise actual capacity and the enterprise guidance capacity; generating an environmental protection contribution identifier based on the environmental protection contribution index; and according to different monitoring periods, performing differentiated environmental protection supervision and control on each enterprise according to the environmental protection contribution identifier of each enterprise. The problems that the environmental protection department cannot effectively supervise and control enterprise environmental protection, the supervision cost is high, the supervision effect is poor, and the emergency response measure landing effect of heavy pollution weather early warning is poor are solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of environmental protection control, and specifically discloses an environmental protection supervision method and system based on the integration of electric power environmental protection data. Background Art

[0002] To cope with heavy pollution weather, government departments have taken a series of early warning and emergency response measures. The government departments divide the heavy pollution weather early warning into three levels: yellow, orange, and red, corresponding to different emergency response measures. When the meteorological department issues a heavy pollution weather early warning, the environmental protection department will initiate corresponding emergency response measures, which mainly include restricting or suspending certain industrial activities, increasing public transportation services to reduce the use of private cars, restricting the entry of high-emission vehicles on the road, etc. Among them, restricting or suspending certain industrial activities mainly controls the production capacity and energy consumption of the main air pollution source enterprises within the jurisdiction.

[0003] At present, the environmental protection department has no effective monitoring means to monitor the environmental protection response of enterprises such as production capacity restriction and energy consumption restriction. The monitoring of enterprises still adopts traditional methods such as empirical sampling. Coupled with the scattered locations of each enterprise, environmental protection supervision requires a large amount of manpower, material resources, and financial resources, but the monitoring effect is difficult to achieve the expected level, and the implementation effect of the emergency response measures for heavy pollution weather early warning is greatly reduced. Summary of the Invention

[0004] The purpose of the present invention is to provide an environmental protection supervision method and system based on the integration of electric power environmental protection data, so as to solve the problems that the environmental protection department cannot effectively supervise and control the environmental protection of enterprises, the supervision cost is high, the supervision effect is poor, and the implementation effect of the emergency response measures for heavy pollution weather early warning is poor.

[0005] The specific solution of the present invention is as follows:

[0006] An environmental protection supervision method based on the integration of electric power environmental protection data includes:

[0007] Obtaining the actual production capacity of an enterprise and the guiding production capacity of the enterprise; obtaining an environmental protection contribution index based on the actual production capacity and the guiding production capacity of the enterprise; generating an environmental protection contribution identifier based on the environmental protection contribution index; and performing differential environmental protection supervision and control on each enterprise according to the environmental protection contribution identifiers of each enterprise in different monitoring periods.

[0008] In some embodiments, the obtaining of the actual production capacity of the enterprise includes:

[0009] Obtaining the actual production capacity of the enterprise based on the electric power data information of the enterprise, where the electric power data information includes monthly peak-section electricity consumption, monthly flat-section electricity consumption, monthly valley-section electricity consumption, as well as daily peak-section electricity consumption, daily flat-section electricity consumption, and daily valley-section electricity consumption;

[0010] Generate the daily reference electricity consumption based on the monthly peak - period electricity consumption, monthly flat - period electricity consumption, and monthly valley - period electricity consumption. Generate the daily equivalent electricity consumption based on the daily peak - period electricity consumption, daily flat - period electricity consumption, and daily valley - period electricity consumption. Divide the daily equivalent electricity consumption by the daily reference electricity consumption to obtain the actual production capacity of the enterprise.

[0011] In some embodiments, generating the daily reference electricity consumption based on the monthly peak - period electricity consumption, monthly flat - period electricity consumption, and monthly valley - period electricity consumption includes:

[0012] Generate the monthly equivalent electricity consumption based on the monthly peak - period electricity consumption, monthly flat - period electricity consumption, and monthly valley - period electricity consumption;

[0013] Exclude the maximum and minimum monthly equivalent electricity consumptions from the 12 monthly equivalent electricity consumptions and then calculate the average value to obtain the monthly reference electricity consumption;

[0014] Divide the monthly reference electricity consumption by 30 days to obtain the daily reference electricity consumption.

[0015] In some embodiments, generating the monthly equivalent electricity consumption based on the monthly peak - period electricity consumption, monthly flat - period electricity consumption, and monthly valley - period electricity consumption includes:

[0016] Perform a weighted sum of the monthly peak - period electricity consumption, monthly flat - period electricity consumption, and monthly valley - period electricity consumption to generate the monthly equivalent electricity consumption. The formula for the monthly equivalent electricity consumption is:

[0017] W y =W yf ·λ f +W yp ·λ p +W yg ·λ g ,

[0018] where W y is the monthly equivalent electricity consumption, W yf is the monthly peak - period electricity consumption, W yp is the monthly flat - period electricity consumption, W yg is the monthly valley - period electricity consumption, λ f is the peak - period weight value, λ p is the flat - period weight value, λ g is the valley - period weight value.

[0019] In some embodiments, generating the daily equivalent electricity consumption based on the daily peak - period electricity consumption, daily flat - period electricity consumption, and daily valley - period electricity consumption includes:

[0020] Perform a weighted sum of the daily peak - period electricity consumption, daily flat - period electricity consumption, and daily valley - period electricity consumption to generate the daily equivalent electricity consumption. The formula for the daily equivalent electricity consumption is:

[0021] W d =W df ·λ f +W dp ·λp +W dg ·λ g ,

[0022] Among them, W d is the daily equivalent power consumption, W df is the daily peak-section power consumption, W dp is the daily flat-section power consumption, W dg is the daily valley-section power consumption, λ f is the peak-section weight value, λ p is the flat-section weight value, λ g is the valley-section weight value.

[0023] In some embodiments, the obtaining of the enterprise's guiding production capacity includes:

[0024] Obtaining the enterprise's guiding production capacity based on the enterprise's environmental protection data information, where the environmental protection data information includes a production process index, a production scale index, a law enforcement record index, and a warning level index, and the formula for the enterprise's guiding production capacity is:

[0025] β = η t ·λ t + η r ·λ r + η s ·λ s + η w ·λ w ,

[0026] Among them, β is the enterprise's guiding production capacity, λ t is the production process index, λ r is the law enforcement record index, λ s is the production scale index, λ w is the warning level index.

[0027] In some embodiments, the formula for the environmental protection contribution index is:

[0028] γ = β - α,

[0029] Among them, γ is the environmental protection contribution index, β is the enterprise's guiding production capacity, and α is the enterprise's actual production capacity.

[0030] In some embodiments, the generating of the environmental protection contribution identifier based on the environmental protection contribution index includes:

[0031] The environmental protection contribution identifier includes a first environmental protection contribution identifier, a second environmental protection contribution identifier, and a third environmental protection contribution identifier;

[0032] Generate a first environmental protection contribution identifier when the environmental protection contribution index is greater than or equal to the first threshold, generate a second environmental protection contribution identifier when the environmental protection contribution index is greater than or equal to the second threshold and less than the first threshold, and generate a third environmental protection contribution identifier when the environmental protection contribution index is less than the second threshold.

[0033] In some embodiments, the differential environmental protection supervision and control of each enterprise according to the environmental protection contribution identifier of each enterprise according to different monitoring periods includes:

[0034] The monitoring periods include a first monitoring period, a second monitoring period, and a third monitoring period;

[0035] In the first monitoring period and the second monitoring period, evaluate the environmental protection contribution degree of each enterprise according to the environmental protection contribution identifier of each enterprise; in the third monitoring period, conduct environmental protection inspections and penalties on each enterprise according to the environmental protection contribution identifier of each enterprise.

[0036] The present invention also relates to an environmental protection supervision system based on power environmental protection data fusion for the above-mentioned environmental protection supervision method based on power environmental protection data fusion, including:

[0037] An enterprise actual production capacity module for obtaining the actual production capacity of an enterprise based on the power data information of the enterprise;

[0038] An enterprise guided production capacity module for obtaining the guided production capacity of an enterprise based on the environmental protection data information of the enterprise;

[0039] An environmental protection contribution index module for obtaining an environmental protection contribution index according to the actual production capacity and the guided production capacity of the enterprise;

[0040] An environmental protection contribution identifier module for generating an environmental protection contribution identifier based on the environmental protection contribution index;

[0041] An environmental protection supervision and control module for differentially supervising and controlling the environmental protection of each enterprise according to the environmental protection contribution identifier of each enterprise according to different monitoring periods.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0043] 1. The present invention obtains an environmental protection contribution index through the power data information and environmental protection data information of an enterprise, generates an environmental protection contribution identifier based on the environmental protection contribution index, and differentially supervises and controls the environmental protection of each enterprise according to the environmental protection contribution identifier of each enterprise according to different monitoring periods, realizing the effective supervision and control of enterprise environmental protection by the environmental protection department, reducing the supervision cost, improving the supervision effect and the implementation effect of the emergency response measures for heavy pollution weather early warning, and improving the economic value, social value and comprehensive environmental value, and is suitable for promotion across the country.

[0044] 2. Through the environmental protection contribution label, the environmental protection department can more accurately measure the comprehensive environmental protection contribution of enterprises, avoid data security risks such as leakage of user detailed data, and promote enterprises to actively fulfill their social responsibilities.

[0045] 3. According to different monitoring cycles, based on the environmental protection contribution labels of each enterprise, the environmental protection department can conduct differential and real-time effective environmental protection supervision and control on each enterprise. Brief Description of the Drawings

[0046] Figure 1 It is a flowchart of an environmental protection supervision method based on the integration of power environmental protection data in Embodiment 1 of the present invention.

[0047] Figure 2 It is a flowchart for obtaining the actual production capacity of an enterprise based on the power data information of the enterprise in Embodiment 1 of the present invention.

[0048] Figure 3 It is a block diagram of an environmental protection supervision system based on the integration of power environmental protection data in Embodiment 1 of the present invention.

[0049] Figure 4 It is a block diagram of the meaning of the environmental protection contribution label in Embodiment 1 of the present invention. Detailed Description of the Invention

[0050] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Generally, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations.

[0051] In accordance with the working principle of "government-led, power grid construction, multi-party participation, and win-win cooperation", aiming to improve the modernization level of ecological environment supervision and law enforcement and governance capabilities, relying on the energy big data center platform, strengthening the value empowerment of power big data, highlighting demonstration and leading, adhering to practical results, implementing in stages, promoting construction with application, building while using, and expanding orderly, a new model of "combining power big data with ecological environment monitoring" is comprehensively constructed.

[0052] Electric power energy is a necessary condition for enterprise production. The electricity consumption data of enterprises can directly reflect their production fluctuations. Through intelligent electricity meters and remote meter reading technologies, power supply companies can timely obtain data such as the electricity load and electricity consumption of enterprises.

[0053] On the premise of ensuring the security of power data information and enterprise privacy, big data analysis is carried out based on power data information, providing a data information basis for the environmental protection department to master the production situation of enterprises, which can optimize the allocation and management of environmental protection resources, contribute to the precision, efficiency and digitization of environmental protection supervision, and improve the efficiency of environmental protection law enforcement work.

[0054] The collected power data information and environmental protection data information are used for the correlation analysis of enterprise production energy consumption and environmental protection indicators. Through the correlation analysis, the influence relationship between indicators is realized, and regression relationships such as linear relationships and non-linear relationships between independent variable indicators and dependent variable indicators are established.

[0055] Environmental protection supervision and control are carried out according to the separate independent analysis of power data information and environmental protection data information, as well as the comprehensive judgment of power data information and environmental protection data information.

[0056] Embodiment 1

[0057] A new environmental protection supervision method based on the integration of power and environmental protection data, as Figure 1 shown, includes the following steps:

[0058] S1. Obtain the actual production capacity of the enterprise based on the power data information of the enterprise.

[0059] Power data refers to the enterprise electricity consumption number, enterprise name, monitoring date, and peak section electricity quantity, flat section electricity quantity, valley section electricity quantity and total electricity quantity in a fixed period, etc.

[0060] Obtain the actual production capacity of the enterprise based on the monthly peak section electricity quantity, monthly flat section electricity quantity, monthly valley section electricity quantity, as well as the daily peak section electricity quantity, daily flat section electricity quantity, and daily valley section electricity quantity.

[0061] As Figure 2 shown, obtaining the actual production capacity of the enterprise based on the power data information of the enterprise includes the following steps:

[0062] S11. Obtain power data information from the marketing business system and the power consumption acquisition system.

[0063] Obtain the power data information of the enterprise in the recent 1 year of the monitoring date from the marketing business system and the power consumption acquisition system; the power data information includes the monthly peak section electricity quantity, monthly flat section electricity quantity, monthly valley section electricity quantity, as well as the daily peak section electricity quantity, daily flat section electricity quantity, and daily valley section electricity quantity.

[0064] S12. Generate monthly equivalent electricity quantity based on the monthly peak section electricity quantity, monthly flat section electricity quantity, and monthly valley section electricity quantity.

[0065] Perform weighted summation on the monthly peak section electricity quantity, monthly flat section electricity quantity, and monthly valley section electricity quantity to generate the monthly equivalent electricity quantity. The formula for the monthly equivalent electricity quantity is:

[0066] Wy =W yf ·λ f +W yp ·λ p +W yg ·λ g ,

[0067] Among them, W y is the monthly equivalent electricity quantity, W yf is the monthly peak period electricity quantity, W yp is the monthly flat period electricity quantity, W yg is the monthly valley period electricity quantity, λ f is the peak period weight value, λ p is the flat period weight value, λ g is the valley period weight value;

[0068] The peak period weight value, flat period weight value, and valley period weight value are determined according to the user's historical electricity consumption and experience.

[0069] S13. Calculate the average value after removing the maximum and minimum monthly equivalent electricity quantities from the 12 monthly equivalent electricity quantities to obtain the monthly reference electricity quantity.

[0070] The formula for the monthly reference electricity quantity is:

[0071]

[0072] Among them, is the monthly reference electricity quantity, is the sum of the 12 monthly equivalent electricity quantities, max(W i ) is the maximum monthly equivalent electricity quantity among the 12 monthly equivalent electricity quantities, min(W i ) is the minimum monthly equivalent electricity quantity among the 12 monthly equivalent electricity quantities.

[0073] S14. Divide the monthly reference electricity quantity by 30 days to obtain the daily reference electricity quantity.

[0074] The formula for the daily reference electricity quantity is: Among them, is the monthly reference electricity quantity, and is the daily reference electricity quantity.

[0075] S15. Generate the daily equivalent electricity quantity based on the daily peak period electricity quantity, daily flat period electricity quantity, and daily valley period electricity quantity.

[0076] Perform weighted summation on the daily peak period electricity quantity, daily flat period electricity quantity, and daily valley period electricity quantity to generate the daily equivalent electricity quantity. The formula for the daily equivalent electricity quantity is:

[0077] W d =W df ·λ f +W dp ·λ p +Wdg ·λ g ,

[0078] where W d is the daily equivalent power consumption, W df is the daily peak period power consumption, W dp is the daily flat period power consumption, W dg is the daily valley period power consumption, and λ f is the peak period weight value, λ p is the flat period weight value, λ g is the valley period weight value;

[0079] The peak period weight value, flat period weight value, and valley period weight value are determined according to the user's historical power consumption and experience.

[0080] S16. The actual production capacity of the enterprise is obtained by dividing the daily equivalent power consumption by the daily reference power consumption.

[0081] The formula for the actual production capacity of the enterprise is:

[0082]

[0083] where α is the actual production capacity of the enterprise, W d is the daily equivalent power consumption, is the daily reference power consumption.

[0084] S2. Obtain the guiding production capacity of the enterprise based on the enterprise's environmental protection data information.

[0085] Collect the environmental protection data information of the enterprise in the past 3 years. The environmental protection data information includes the enterprise's production characteristics and historical environmental protection performance during the heavy pollution prevention and control period. The enterprise's production characteristics include the production process index and production scale index; the historical environmental protection performance includes the law enforcement record index and early warning level index.

[0086] The environmental protection department generates the guiding production capacity of the enterprise based on the enterprise's production process index, production scale index, law enforcement record index, and early warning level index in the past 3 years.

[0087] The formula for the guiding production capacity of the enterprise is:

[0088] β = η t ·λ t + η r ·λ r + η s ·λ s + η w ·λ w ,

[0089] where β is the guiding production capacity of the enterprise, λ t is the production process index, λ r is the law enforcement record index, λ s is the production scale index, λw is the early warning level index.

[0090] Production process index λ t refers to the sewage treatment capacity value set according to the high or low sewage treatment capacity evaluated by the environmental protection department for the industry. The production process index includes high sewage treatment capacity value, general sewage treatment capacity value, and low sewage treatment capacity value. The high sewage treatment capacity value is 1, the general sewage treatment capacity value is 0.8, and the low sewage treatment capacity value is 0.6.

[0091] Law enforcement record index λ r refers to the law enforcement value set according to the number of environmental protection penalties of the enterprise, including:

[0092] Set the law enforcement value of the enterprise with the lowest number of environmental protection penalties to 1;

[0093] Set the law enforcement value of the enterprise with the highest number of environmental protection penalties to 0;

[0094] Set the law enforcement value of the enterprise with the number of environmental protection penalties between the highest and the lowest number of environmental protection penalties through normalization to:

[0095] Law enforcement value of an enterprise with the number of environmental protection penalties between the lowest and the highest = 1 - (Number of environmental protection penalties of the enterprise - Lowest number of environmental protection penalties) / (Highest number of environmental protection penalties - Lowest number of environmental protection penalties).

[0096] Production scale index λ s refers to setting the value of enterprises above a certain scale and the value of enterprises below a certain scale according to the production scale of the enterprise. The production scale index includes the value of enterprises above a certain scale and the value of enterprises below a certain scale; Set the enterprise with a production scale greater than the second threshold as an enterprise above a certain scale, and the value of enterprises above a certain scale is 1. Set the enterprise with a production scale less than or equal to the second threshold as an enterprise below a certain scale, and the value of enterprises below a certain scale is 0.8.

[0097] Early warning level index λ w includes yellow early warning value, orange early warning value, and red early warning value. The yellow early warning value is 0.8, the orange early warning value is 0.5, and the red early warning value is 0.2.

[0098] S3. Obtain the environmental protection contribution index based on the actual production capacity and the guiding production capacity of the enterprise.

[0099] The formula for the environmental protection contribution index is:

[0100] γ = β - α,

[0101] where γ is the environmental protection contribution index, β is the guiding production capacity of the enterprise, and α is the actual production capacity of the enterprise.

[0102] The environmental protection contribution index takes 0 as the dividing line. When the environmental protection contribution index is greater than or equal to 0, it indicates that the enterprise has achieved the production capacity control target, and the larger the environmental protection contribution index, the greater the contribution to environmental protection. When the environmental protection contribution index is less than 0, it indicates that the enterprise has not achieved the production capacity control target, and the larger the absolute value of the environmental protection contribution index, the more it exceeds the production capacity control target and the greater the damage to the environment. The environmental protection department should pay key attention to such an enterprise.

[0103] S4. Generate an environmental protection contribution logo based on the environmental protection contribution index.

[0104] To more vividly reflect the guiding significance of the environmental protection contribution index and make it easier for monitored enterprises to understand and consciously apply it to guide production, different-colored environmental protection contribution logos are generated based on the size of the environmental protection contribution index. The environmental protection contribution logos include the first environmental protection contribution logo, the second environmental protection contribution logo, and the third environmental protection contribution logo. When the environmental protection contribution index is greater than or equal to the first threshold, the first environmental protection contribution logo is generated. When the environmental protection contribution index is greater than or equal to the second threshold and less than the first threshold, the second environmental protection contribution logo is generated. When the environmental protection contribution index is less than the second threshold, the third environmental protection contribution logo is generated.

[0105] Set the first environmental protection contribution logo as a green environmental protection contribution logo, the second environmental protection contribution logo as a yellow environmental protection contribution logo, and the third environmental protection contribution logo as a red environmental protection contribution logo.

[0106] As Figure 4 shown, when the environmental protection contribution index is greater than or equal to 0, a green environmental protection contribution logo is generated. The green environmental protection contribution logo indicates that the enterprise has achieved the production capacity control target and the enterprise needs to continuously maintain it. When the environmental protection contribution index is greater than or equal to -0.2 and less than 0, a yellow environmental protection contribution logo is generated. The yellow environmental protection contribution logo indicates that the enterprise has not achieved the production capacity control target and the over-standard range is relatively small. The environmental protection department should pay attention to such an enterprise. When the environmental protection contribution index is less than -0.2, a red environmental protection contribution logo is generated. The red environmental protection contribution logo indicates that the enterprise has not achieved the production capacity control target and the over-standard range exceeds 20%. The environmental protection department should pay key attention to such an enterprise.

[0107] Based on the generation rules of the environmental protection contribution logo, the environmental protection department can evaluate the environmental protection contribution degree of a certain monitoring day, a certain district or county, or a certain industry by simply counting the quantities of various types of green environmental protection contribution logos, yellow environmental protection contribution logos, and red environmental protection contribution logos. Each enterprise can quickly understand its own production capacity control compliance situation through the environmental protection contribution logos announced by the environmental protection department and adjust production in a timely manner. If a red environmental protection contribution logo appears, the enterprise should actively significantly limit production, and the environmental protection department should increase the supervision intensity or impose environmental protection penalties.

[0108] Through the environmental protection contribution label, the environmental protection department can more accurately measure the comprehensive environmental protection contribution of enterprises, avoid data security risks such as leakage of user details, and encourage enterprises to actively fulfill their social responsibilities.

[0109] S5. According to different monitoring cycles, conduct differentiated environmental protection supervision and control over each enterprise based on the environmental protection contribution labels of each enterprise.

[0110] The environmental protection department conducts differentiated environmental protection supervision and control over each enterprise according to the environmental protection contribution labels of each enterprise, each region, and each industry in different monitoring cycles. At the same time, the environmental protection department releases the environmental protection contribution labels to enterprises and the public, and the public can feedback environmental protection situations to the environmental protection department.

[0111] The monitoring cycles include the first monitoring cycle, the second monitoring cycle, and the third monitoring cycle; the first monitoring cycle is set as the annual monitoring cycle, the second monitoring cycle is set as the monthly monitoring cycle, and the third monitoring cycle is set as the daily monitoring cycle.

[0112] In the annual monitoring cycle and the monthly monitoring cycle, the environmental protection department evaluates the environmental protection contribution degree of each enterprise according to the environmental protection contribution label of each enterprise; when the environmental protection contribution label of an enterprise is a green environmental protection contribution label, the environmental protection department evaluates the environmental protection contribution degree of the enterprise as good; when the environmental protection contribution label of an enterprise is a yellow environmental protection contribution label, the environmental protection department evaluates the environmental protection contribution degree of the enterprise as barely qualified; when the environmental protection contribution label of an enterprise is a red environmental protection contribution label, the environmental protection department evaluates the environmental protection contribution degree of the enterprise as unqualified.

[0113] The daily monitoring period is generally for the period of air pollution warning; in the daily monitoring cycle, the environmental protection department conducts environmental protection inspections and penalties on each enterprise according to the environmental protection contribution label of each enterprise to ensure that the warning measures are responded to and implemented.

[0114] The environmental protection department will regularly and irregularly release environmental protection contribution labels to the public to enhance the public's environmental protection awareness. The public can also report and feedback to the environmental protection department on scattered and low-impact events that pollute air quality such as burning straw, as well as serious events such as enterprises secretly discharging pollutants.

[0115] The present invention obtains an environmental protection contribution index through the enterprise's power data information and environmental protection data information, generates an environmental protection contribution label based on the environmental protection contribution index, and conducts differentiated environmental protection supervision and control on each enterprise according to the environmental protection contribution labels of each enterprise in different monitoring periods, realizing the effective supervision and control of enterprise environmental protection by the environmental protection department, reducing the supervision cost, improving the supervision effect and the implementation effect of emergency response measures for heavy pollution weather warnings, and enhancing the economic value, social value and comprehensive environmental value, which is suitable for national promotion. By combining the independent power data information and environmental protection data information, the integration of power data and environmental protection data is achieved, breaking the limitations of traditional data islands, realizing comprehensive and integrated analysis, quantitatively evaluating the relationship between power consumption and pollutant emissions, real-time monitoring the emission levels of enterprises, detecting problems such as excessive emissions, and taking timely measures for treatment.

[0116] The economic value is enhanced. Specifically: First, the present invention makes full use of the existing power data information and environmental protection data information without involving the construction of a new information system. The environmental protection department or enterprises do not install new power energy collection devices for carrying out big data analysis of environmental protection inspections, reducing a large amount of software and hardware investment. It is understood that most of the current big data analysis of power data information and environmental protection data information in the market will increase a certain amount of software and hardware investment. On average, each enterprise needs at least 1000 yuan for each monitoring point. For example, there are 1000 enterprises included in the environmental protection inspections in Ziyang City, and only this item saves about 1 million yuan in funds.

[0117] Second, the present invention improves the accuracy of environmental protection inspections. Enterprises no longer have any luck, and the phenomena of "guerilla warfare" and "hide-and-seek" are significantly reduced, and the number of daily law enforcement personnel is significantly reduced. For example, the number of law enforcement personnel for daily regular inspections in Ziyang City was about 90 person-times before, and now it has dropped to 18 person-times for daily regular inspections, saving 26,000 person-times of labor annually.

[0118] Then, after the implementation of the environmental protection inspections of the present invention, the environmental compliance rate of enterprises has been significantly improved. For example, the compliance rate of environmental protection facilities of enterprises in Ziyang City has increased by an average of 20%, and the pollutant emissions have decreased by an average of 15%. Therefore, the inspections urge enterprises to increase environmental protection investment from the source, improve the environmental governance ability, reduce the negative impact on the environment, and reduce the pressure on the government's later comprehensive environmental protection governance. For example, Ziyang City is expected to save nearly 20 million yuan in environmental protection rectification funds.

[0119] The social value is enhanced. Specifically: First, it improves the public's attention and participation awareness of environmental issues. For example, since the public participated in the supervision and feedback of environmental issues, the number of public environmental reporting cases received by the environmental protection department in Ziyang City has continued to increase, reaching 940 cases in 2024, a 116% increase compared with 2022.

[0120] Secondly, it has enhanced social trust. Through strict law enforcement through environmental supervision, illegal acts have been severely punished, and the concept of rule of law and awareness of rules have been established. For example, according to the data of the National Environmental Protection Credit Management System, the total number of environmental violation credit records of enterprises in Ziyang City in 2024 decreased by 23%, and the environmental protection credit and social trust of enterprises have been significantly improved.

[0121] Improved the comprehensive value of the environment. Specifically: First, the environmental quality has been continuously improved. Environmental supervision has prompted enterprises to increase environmental governance efforts and improve environmental quality. For example, after the environmental supervision, the concentration of regional pollutants in Ziyang City dropped significantly. The average PM2.5 index of particulate matter pollution in 2024 decreased by 11.7%. The comprehensive index of environmental air quality ranked 168th in the country, 33rd among key cities, and 5th among the 15 key cities in the province, up 4 places year-on-year.

[0122] Secondly, the protection of the ecological environment has been improved. Environmental protection inspections have promoted enterprises to adopt more environmentally friendly production methods to protect the ecological environment. For example, in 2024, under the promotion of environmental protection inspections, Ziyang City reduced the emission of 140,000 tons of nitrogen and 930,000 tons of carbon dioxide in the region.

[0123] The promotion value is high and the promotion prospects are good, which is suitable for national promotion. Specifically: First, the coverage of power data is very wide. In order to provide high-quality services and accurately grasp the quality of customers' power use, power companies have established an integrated power information system covering "headquarters-province-city-county-station-household" for power data information sensing, collection, transmission and storage in the past 20 years. This system covers all power customers, penetrates into various industries and thousands of households, and provides customers with high-quality power services while accumulating a large amount of valuable data assets.

[0124] Secondly, digital means can improve the ability to monitor pollution. In order to carry out environmental pollution prevention and control in an orderly manner, the environmental protection department installs air pollutant emission monitoring devices for enterprises in specific industries, covering only some key national enterprises. Due to the lack of manpower, money and materials, local governments have not established a monitoring system covering all polluting enterprises, and the implementation of environmental pollution control has been ineffective. However, through digital means, combined with power data information and environmental protection data information, the company's air pollutant emissions and corporate production capacity can be monitored in real time without installing additional monitoring devices, so that environmental pollution control can be effectively implemented.

[0125] Then, a scientific and reasonable environmental monitoring and analysis mechanism provides more accurate guidance for environmental pollution control. By integrating power data information with environmental data information, a daily monitoring cycle, a monthly monitoring cycle, and an annual monitoring cycle are established to provide environmental protection departments with a full range of diagnostic analysis, establish a dynamic relationship model between regional enterprise production capacity and pollutant emissions, review heavy pollution warnings, and provide more accurate guidance for the next step of pollution warning measures.

[0126] Therefore, all prefecture-level cities and autonomous prefectures across the country can make full use of power data information and environmental protection data information to assist local environmental protection departments in carrying out precise prevention and control of air pollution. While carrying out air pollution control, it is possible to explore jointly with environmental protection departments to promote the treatment of water quality, soil, solid waste, etc.

[0127] The present invention also relates to an environmental protection supervision system based on the integration of power and environmental protection data, which is used for an environmental protection supervision method based on the integration of power and environmental protection data as described above, as Figure 3 shown, including:

[0128] An enterprise actual production capacity module, which is used to obtain the actual production capacity of an enterprise based on the power data information of the enterprise;

[0129] An enterprise guided production capacity module, which is used to obtain the guided production capacity of an enterprise based on the environmental protection data information of the enterprise;

[0130] An environmental protection contribution index module, which is used to obtain an environmental protection contribution index according to the actual production capacity and the guided production capacity of the enterprise;

[0131] An environmental protection contribution identification module, which is used to generate an environmental protection contribution identification based on the environmental protection contribution index;

[0132] An environmental protection supervision and control module, which is used to carry out differential environmental protection supervision and control on each enterprise according to the environmental protection contribution identification of each enterprise in accordance with different monitoring periods.

[0133] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An environmental protection supervision method based on the integration of electric power environmental protection data, characterized in that Including: Obtain the actual production capacity and the guiding production capacity of the enterprise; Obtain the environmental protection contribution index based on the actual production capacity and the guiding production capacity of the enterprise; Generate an environmental protection contribution label based on the environmental protection contribution index; according to different monitoring periods, conduct differential environmental protection supervision and control on each enterprise according to the environmental protection contribution labels of each enterprise.

2. The environmental protection supervision method based on power environmental protection data fusion according to claim 1, wherein, The obtaining of the actual production capacity of the enterprise includes: Obtain the actual production capacity of the enterprise based on the power data information of the enterprise, and the power data information includes monthly peak section power consumption, monthly flat section power consumption, monthly valley section power consumption, as well as daily peak section power consumption, daily flat section power consumption, and daily valley section power consumption; Generate a daily reference power consumption based on the monthly peak section power consumption, monthly flat section power consumption, and monthly valley section power consumption, generate a daily equivalent power consumption based on the daily peak section power consumption, daily flat section power consumption, and daily valley section power consumption, and divide the daily equivalent power consumption by the daily reference power consumption to obtain the actual production capacity of the enterprise.

3. The environmental protection supervision method based on power environmental protection data fusion according to claim 2, wherein, The generating of the daily reference power consumption based on the monthly peak section power consumption, monthly flat section power consumption, and monthly valley section power consumption includes: Generate a monthly equivalent power consumption based on the monthly peak section power consumption, monthly flat section power consumption, and monthly valley section power consumption; Calculate the average value after removing the highest value and the lowest value of the monthly equivalent power consumption from 12 monthly equivalent power consumptions to obtain the monthly reference power consumption; Divide the monthly reference power consumption by 30 days to obtain the daily reference power consumption.

4. The environmental protection supervision method based on power environmental protection data fusion according to claim 3, characterized in that, The generating of the monthly equivalent power consumption based on the monthly peak section power consumption, monthly flat section power consumption, and monthly valley section power consumption includes: Perform weighted summation on the monthly peak section power consumption, monthly flat section power consumption, and monthly valley section power consumption to generate the monthly equivalent power consumption, and the formula for the monthly equivalent power consumption is: W y = W yf · λ f + W yp · λ p + W yg · λ g , Among them, W y is the monthly equivalent electricity quantity, W yf is the monthly peak period electricity quantity, W yp is the monthly flat period electricity quantity, W yg is the monthly valley period electricity quantity, λ f is the peak period weight value, λ p is the flat period weight value, λ g is the valley period weight value.

5. The environmental protection supervision method based on power environmental protection data fusion according to claim 2, wherein The generating of the daily equivalent power consumption based on the daily peak section power consumption, daily flat section power consumption, and daily valley section power consumption includes: Perform weighted summation on the daily peak section power consumption, daily flat section power consumption, and daily valley section power consumption to generate the daily equivalent power consumption, and the formula for the daily equivalent power consumption is: W d = W df · λ f + W dp · λ p + W dg · λ g , Among them, W d is the daily equivalent power consumption, W df is the daily peak period power consumption, W dp is the daily flat period power consumption, W dg is the daily valley period power consumption, λ f is the peak period weight value, λ p is the flat period weight value, λ g is the valley period weight value.

6. The environmental protection supervision method based on power environmental protection data fusion according to claim 1, characterized in that The obtaining of the guiding production capacity of the enterprise includes: Obtain the guiding production capacity of the enterprise based on the environmental protection data information of the enterprise, and the environmental protection data information includes production process index, production scale index, law enforcement record index, and early warning level index, and the formula for the guiding production capacity of the enterprise is: β = η t · λ t + η r · λ r + η s · λ s + η w · λ w , Among them, β is the enterprise's guiding production capacity, and λ t is the production process index, λ r is the law enforcement record index, λ s is the production scale index, λ w is the early warning level index.

7. The environmental protection supervision method based on power environmental protection data fusion according to claim 1, characterized in that The formula for the environmental protection contribution index is: γ = β - α, where γ is the environmental protection contribution index, β is the guiding production capacity of the enterprise, and α is the actual production capacity of the enterprise.

8. The environmental protection supervision method based on power environmental protection data fusion according to claim 1, characterized in that, The generating of the environmental protection contribution label based on the environmental protection contribution index includes: The environmental protection contribution label includes the first environmental protection contribution label, the second environmental protection contribution label, and the third environmental protection contribution label; Generate the first environmental protection contribution label when the environmental protection contribution index is greater than or equal to the first threshold, generate the second environmental protection contribution label when the environmental protection contribution index is greater than or equal to the second threshold and less than the first threshold, and generate the third environmental protection contribution label when the environmental protection contribution index is less than the second threshold.

9. An environmental protection supervision method based on power environmental protection data fusion according to claim 8, characterized in that, The conducting of differential environmental protection supervision and control on each enterprise according to the environmental protection contribution labels of each enterprise according to different monitoring periods includes: The monitoring periods include the first monitoring period, the second monitoring period, and the third monitoring period; In the first monitoring period and the second monitoring period, evaluate the environmental protection contribution degree of each enterprise according to the environmental protection contribution labels of each enterprise; in the third monitoring period, conduct environmental protection inspection and punishment on each enterprise according to the environmental protection contribution labels of each enterprise.

10. An environmental protection supervision system based on power environmental protection data fusion, characterized in that, An environmental protection supervision method based on power environmental protection data fusion according to any one of claims 1-9, comprising: An actual enterprise production capacity module, configured to obtain the actual production capacity of an enterprise based on the power data information of the enterprise; An enterprise guiding production capacity module, configured to obtain the guiding production capacity of an enterprise based on the environmental protection data information of the enterprise; An environmental protection contribution index module, configured to obtain an environmental protection contribution index according to the actual production capacity and the guiding production capacity of the enterprise; An environmental protection contribution identification module, configured to generate an environmental protection contribution identification based on the environmental protection contribution index; An environmental protection supervision and control module, configured to perform differentiated environmental protection supervision and control on each enterprise according to the environmental protection contribution identification of each enterprise according to different monitoring periods.