CN117217966A - Intelligent electricity management system and method based on carbon emission and energy consumption - Google Patents
Intelligent electricity management system and method based on carbon emission and energy consumption Download PDFInfo
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Abstract
The application belongs to the technical field of energy conservation, and discloses an intelligent electricity management system and method based on carbon emission and energy consumption, wherein the system comprises the following components: the data acquisition module is used for acquiring real-time data of each enterprise in the industrial park through the blockchain network to obtain encrypted energy consumption data of each enterprise; the data processing module is used for cleaning and integrating the encrypted energy consumption data of each enterprise to obtain an integrated data set; analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise; the energy consumption judging module is used for acquiring output data of each enterprise and determining an enterprise to be regulated according to the electricity consumption data, the carbon emission data and the output data of each enterprise; and the electricity consumption optimization module is used for determining an electricity consumption adjustment strategy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted and sending the electricity consumption adjustment strategy to the enterprise to be adjusted. The application can realize the effective monitoring and energy-saving control of the carbon emission and the energy consumption of each enterprise in the industrial park.
Description
Technical Field
The application relates to the technical field of energy conservation, in particular to an intelligent electricity management system and method based on carbon emission and energy consumption.
Background
With the continuous prominence of global climate change and environmental pollution, every enterprise faces energy conservation and emission reduction pressures and challenges. The industrial park is an important component of economic development, the energy consumption and the carbon emission are large, the traditional electricity management mode mainly depends on manual regulation, calculation and estimation, and real-time monitoring and data analysis of each link in the electricity utilization process cannot be realized. There are many problems in this way, such as that the arrangement of the electricity plan is not reasonable, the electricity is wasted, the electricity peak is difficult to control, the electricity load is overlarge, the energy efficiency of the electric equipment is low, and the energy is wasted.
Therefore, the existing traditional electricity management mode cannot realize effective monitoring and control of carbon emission and energy consumption, and has a great restriction on sustainable development of an industrial park.
Disclosure of Invention
The application provides an intelligent electricity management system and method based on carbon emission and energy consumption, which can realize effective monitoring and energy-saving regulation and control of carbon emission and energy consumption of each enterprise in an industrial park and are beneficial to sustainable development of the industrial park.
In a first aspect, an embodiment of the present application provides an intelligent electricity management system based on carbon emission and energy consumption, including:
the data acquisition module is used for acquiring real-time data of energy utilization equipment of each enterprise in the industrial park through the blockchain network to obtain encrypted energy consumption data of each enterprise;
the data processing module is used for cleaning and integrating the encrypted energy consumption data of each enterprise to obtain an integrated data set; analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise;
the energy consumption judging module is used for acquiring output data of each enterprise and determining an enterprise to be regulated according to the electricity consumption data, the carbon emission data and the output data of each enterprise;
and the electricity consumption optimization module is used for determining an electricity consumption adjustment strategy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted and sending the electricity consumption adjustment strategy to the enterprise to be adjusted.
Further, the system further comprises:
the data monitoring module is used for taking electricity consumption data and carbon emission data of an enterprise to be regulated before sending an electricity consumption regulation strategy as initial energy consumption data; and taking the electricity consumption data and the carbon emission data of the enterprise to be regulated after sending the electricity consumption regulation strategy as current energy consumption data;
the optimization judging module is used for judging whether the difference value between the initial energy consumption data and the current energy consumption data exceeds a threshold value corresponding to the power utilization adjustment strategy; and generating an optimization disqualification warning message when the optimization disqualification warning message is not exceeded.
Further, the system further comprises:
the background management module is used for carrying out trend analysis on the electricity consumption data and the carbon emission data of each enterprise, and sending analysis results of the enterprises corresponding to the query instruction to the display interface when the query instruction is received; and sending the optimized disqualification warning information to an enterprise corresponding to the electricity utilization adjustment strategy.
Further, the background management module is further used for receiving the electric energy alarm threshold and the carbon emission alarm threshold and sending early warning information to enterprises corresponding to electricity consumption data exceeding the electric energy alarm threshold or carbon emission data exceeding the carbon emission alarm threshold.
Further, the background management module is further used for sending the electricity consumption adjustment strategy generated by the electricity consumption optimization module to the display interface; and receiving a strategy modification instruction, and modifying the electricity utilization adjustment strategy according to the strategy modification instruction.
Further, the blockchain network comprises data acquisition nodes corresponding to enterprises one by one;
the data acquisition node is used for acquiring the energy consumption data of the corresponding enterprises in real time through the plurality of intelligent sensors, encrypting the energy consumption data and obtaining encrypted energy consumption data.
Further, the data processing module includes:
the decryption verification unit is used for decrypting the encrypted energy consumption data to obtain the energy consumption data; verifying whether the energy consumption data is complete or whether tamper marks exist;
the cleaning integration unit is used for removing abnormal values, repeated values and missing values of the complete energy consumption data to obtain accurate energy consumption data; integrating the accurate energy consumption data to obtain an integrated data set;
the index calculation unit is used for calculating electricity utilization data according to the integrated data set; and obtaining carbon emission indexes according to the integrated data set, and obtaining carbon emission data according to carbon emission calculation standards and carbon emission indexes.
In a second aspect, an embodiment of the present application provides an intelligent electricity management method based on carbon emission and energy consumption, including:
acquiring encrypted energy consumption data of each enterprise in the industrial park in real time through a block chain network;
cleaning and integrating the encrypted energy consumption data of each enterprise to obtain an integrated data set;
analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise;
acquiring output data of each enterprise;
determining enterprises to be regulated according to the electricity consumption data, the carbon emission data and the output data of each enterprise;
and determining the electricity consumption adjustment strategy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted, and sending the electricity consumption adjustment strategy to the enterprise to be adjusted.
In a third aspect, an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the steps of the intelligent electricity management method based on carbon emission and energy consumption as described above.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described intelligent electricity management method based on carbon emissions and energy consumption.
In summary, compared with the prior art, the technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the intelligent electricity management system based on carbon emission and energy consumption, the data acquisition module is used for acquiring the encrypted energy consumption data of electric equipment of each enterprise in an industrial park in real time, the data processing module is used for processing the encrypted energy consumption data to obtain electricity consumption data and carbon emission data of each enterprise, the energy consumption judging module is used for determining an enterprise to be regulated, which needs to regulate electricity consumption, according to the energy consumption data and the carbon emission data of each enterprise, and the electricity consumption optimizing module is used for customizing an electricity regulation strategy for the enterprise to be regulated according to the electricity consumption data and the carbon emission data of the enterprise to be regulated. The system can effectively monitor and control the carbon emission and the energy consumption of each enterprise in the industrial park, and is beneficial to the sustainable development of the industrial park.
Drawings
Fig. 1 is a block diagram of an intelligent electricity management system based on carbon emission and energy consumption according to an embodiment of the present application.
Fig. 2 is a block diagram of an intelligent electricity management system based on carbon emission and energy consumption according to another embodiment of the present application.
Fig. 3 is a flowchart of an intelligent electricity management method based on carbon emission and energy consumption according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, an embodiment of the present application provides an intelligent electricity management system based on carbon emission and energy consumption, including:
the data acquisition module 101 is configured to acquire, through a blockchain network, real-time data of energy consumption devices of each enterprise in the industrial park, and obtain encrypted energy consumption data of each enterprise.
The encrypted energy consumption data may include encrypted electric quantity data, current data, voltage data, electric equipment temperature data, gas analysis data and the like, for example, the electric quantity of the enterprise A in a week is collected in real time as follows: the electricity consumption [10,15,20, -5,25,10] (unit: kilowatt-hour) is then encrypted.
The data processing module 102 is configured to clean and integrate the encrypted energy consumption data of each enterprise to obtain an integrated data set; and analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise.
The energy consumption judging module 103 is configured to obtain output data of each enterprise, and determine an enterprise to be adjusted according to the electricity consumption data, the carbon emission data and the output data of each enterprise.
Wherein the production data is also acquired through the blockchain network of the data acquisition module 101.
Specifically, whether the enterprise needs to adjust the electricity utilization strategy is judged, and the key is the electricity utilization efficiency and the carbon emission of the enterprise. The electricity utilization efficiency is the ratio of electricity consumption to output in unit time. If the power consumption efficiency of an enterprise is low, meaning that more power is consumed by the same output, the enterprise needs to take priority in adjusting the power consumption plan, so as to improve the energy efficiency. In addition, the carbon emissions of the enterprises need to be considered. If the carbon emissions of an enterprise are high, such enterprise also needs to take priority for power plan adjustments from the environmental and energy conservation perspective.
Therefore, the enterprises can be ordered and classified according to the electricity consumption data and the output data of each enterprise, and the adjustment of the electricity consumption plan is preferentially carried out on the enterprises with low electricity consumption efficiency and high carbon emission, so that the aims of optimizing electricity consumption, saving energy and reducing emission are fulfilled.
It can be considered that after the enterprise is classified according to the output data, an electricity utilization efficiency threshold value and a carbon emission threshold value corresponding to the classification are set in each classification, and if the electricity utilization efficiency of the enterprise is lower than the electricity utilization efficiency threshold value corresponding to the classification to which the enterprise belongs, or the carbon emission of the enterprise is higher than the carbon emission threshold value corresponding to the classification to which the enterprise belongs, the enterprise is taken as the enterprise to be regulated.
In a specific implementation process, the number of enterprises to be regulated can be multiple. In addition, considering that enterprises include production enterprises and service enterprises, output data of enterprises can be generally judged by the following ways:
1. product yield: for a production type enterprise, the output data can be obtained by counting the number of products produced in a certain period of time (such as one day, one week and one month). The method is simple and direct, but for some enterprises with various product types and complex production flows, further refinement statistics, such as distinguishing according to product types, production lines and the like, may be required.
2. Number of services: for a service type enterprise, the yield data can be judged by counting the number of services provided in a certain time. For example, for a restaurant, the number of guests served during a day may be counted; for a logistics company, the number of completed delivery orders in one day can be counted.
The electricity consumption optimization module 104 is configured to determine an electricity consumption adjustment policy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted, and send the electricity consumption adjustment policy to the enterprise to be adjusted.
Specifically, the electricity consumption optimization module 104 adjusts the electricity consumption plan of the enterprise to be adjusted in real time according to the formulated electricity consumption adjustment strategy. May include adjusting power usage time, equipment operating sequence, load balancing, etc. Through the optimization, the enterprises to be regulated can more effectively utilize the electric power resources, reduce the cost pressure caused by peak-to-valley electricity price difference, and simultaneously reduce the carbon emission.
The electricity usage adjustment strategy of the electricity usage optimization module 104 may interact with the enterprise to be adjusted in a variety of ways, depending primarily on the specific needs of the enterprise to be adjusted and the design of the system. The following are some possible interactions:
1. email or short message: the electricity consumption optimization module 104 can send the electricity consumption adjustment strategy to the enterprise to be adjusted in the form of an email or a short message, so that the enterprise to be adjusted can conveniently review and execute the electricity consumption adjustment strategy.
2. And (3) an online platform: the electricity consumption optimization module 104 may also issue electricity consumption adjustment policies on an online platform, and an enterprise to be adjusted may view and download electricity consumption plans by logging into the online platform.
Api interface: for some enterprises to be regulated with automatic equipment management systems, the electricity consumption optimization module 104 can directly transmit electricity consumption regulation strategies to the equipment management systems of the enterprises to be regulated through an API interface, so that automatic control is realized.
According to the intelligent electricity management system based on carbon emission and energy consumption, the data acquisition module 101 is used for acquiring the encrypted energy consumption data of electric equipment of each enterprise in an industrial park in real time, the data processing module 102 is used for processing the encrypted energy consumption data to obtain electricity consumption data and carbon emission data of each enterprise, the energy consumption judging module 103 is used for determining an enterprise to be regulated, which needs to regulate electricity consumption, according to the energy consumption data and the carbon emission data of each enterprise, and the electricity consumption optimizing module 104 is used for customizing an electricity regulation strategy for the enterprise to be regulated according to the electricity consumption data and the carbon emission data of the enterprise. The system can effectively monitor and control the carbon emission and the energy consumption of each enterprise in the industrial park, and is beneficial to the sustainable development of the industrial park.
In some embodiments, the system further comprises: the data monitoring module 105 is configured to take electricity consumption data and carbon emission data of an enterprise to be adjusted as initial energy consumption data before sending an electricity consumption adjustment policy; and taking the electricity consumption data and the carbon emission data of the enterprise to be regulated after the electricity consumption regulation strategy is sent as current energy consumption data.
The optimization judging module 106 is configured to judge whether a difference value between the initial energy consumption data and the current energy consumption data exceeds a threshold value corresponding to the power consumption adjustment policy; and generating an optimization disqualification warning message when the optimization disqualification warning message is not exceeded.
Specifically, the electricity data and the carbon emission data at the moment before the electricity adjustment strategy is sent are used as the initial energy consumption data of the enterprise; in consideration of the time required for the enterprise to adjust the electricity consumption plan, the electricity consumption data and the carbon emission data after a preset period of time after the electricity consumption adjustment policy is transmitted may be used as current energy consumption data of the enterprise.
If the difference value between the initial energy consumption data and the current energy consumption data does not reach the threshold value required by the electricity consumption adjustment strategy, generating an optimization disqualification warning message, and prompting the corresponding enterprises that the electricity consumption behavior is required to be further optimized or the electricity consumption strategy is required to be adjusted.
The embodiment can timely feed back and adjust the electricity consumption optimization condition of the enterprise to be adjusted, and further ensures the maximization of the energy utilization efficiency and the minimization of the carbon emission of the industrial park.
In some embodiments, the system further comprises: the background management module 107 is configured to perform trend analysis on electricity consumption data and carbon emission data of each enterprise, and send an analysis result of the enterprise corresponding to the query instruction to the display interface when the query instruction is received; and sending the optimized disqualification warning information to an enterprise corresponding to the electricity utilization adjustment strategy.
Specifically, the background management module 107 analyzes the electricity consumption data and the carbon emission data of each enterprise in the industrial park obtained from the data processing module 102, for example, analyzes the trend of the electricity consumption and the carbon emission, or analyzes the implementation effect of the electricity consumption adjustment policy, and the like, and displays the analysis result in a visual form when the user inquires. Further, the optimization disqualification warning message generated by the optimization judging module 106 is also sent to the enterprise by the background management module 107.
In some embodiments, the background management module 107 is further configured to receive the power alarm threshold and the carbon emission alarm threshold, and send early warning information to an enterprise corresponding to the power consumption data exceeding the power alarm threshold or the carbon emission data exceeding the carbon emission alarm threshold.
Specifically, the user may set an electric energy alarm threshold and a carbon emission alarm threshold in the background management module 107 according to actual needs, and once the thresholds are exceeded, the background management module 107 will send early warning information to the enterprise to urge the enterprise to pay attention to energy conservation and emission reduction.
In some embodiments, the background management module 107 is further configured to send the electricity usage adjustment policy generated by the electricity usage optimization module 104 to the display interface; and receiving a strategy modification instruction, and modifying the electricity utilization adjustment strategy according to the strategy modification instruction.
Specifically, the background management module 107 displays the electricity usage adjustment policy obtained from the electricity usage optimization module 104, and may adjust the electricity usage adjustment policy for authorized users (e.g., enterprise energy management personnel).
In a specific implementation process, the background management module 107 may interface with the blockchain network of the data collection module 101, so as to realize real-time synchronization of data, so that enterprises logging in the management system can view the data on the blockchain.
The background management module 107 in the above embodiment provides a visual electricity management and carbon emission monitoring platform for enterprises and public, so that the enterprises can conveniently check data, analyze and manage the data, help the enterprises to better understand the data, provide support for electricity policy optimization, and provide effective basis for policy formulation and energy management.
In some embodiments, the blockchain network includes data collection nodes that are in a one-to-one correspondence with each enterprise.
The data acquisition node is used for acquiring the energy consumption data of the corresponding enterprises in real time through the plurality of intelligent sensors, encrypting the energy consumption data and obtaining encrypted energy consumption data.
Specifically, a blockchain network is first established on an industrial campus. The blockchain is a distributed database technology and is characterized in that data cannot be tampered, the data is decentralised and the security is high. The blockchain nodes are deployed within the industrial park to form a decentralized data sharing network. Enterprises in the industrial park act as participants, join the blockchain network, and provide respective data.
In a blockchain network, each enterprise is assigned a data collection node. The data acquisition node is responsible for acquiring the energy consumption data and the output data of an enterprise in real time. These data collection nodes may be servers within the enterprise or specialized data collection devices.
For example, assume that there are 10 enterprises in an industrial park that deploy a blockchain network. The 10 enterprises all join the blockchain network, and each enterprise has one data acquisition node, so that the total number of the 10 data acquisition nodes is 10.
The data acquisition node acquires data in real time by using the intelligent sensor. Such as amperometric sensors, voltage sensors, temperature sensors, gas analysis sensors, and the like. The sensors may send real-time data to the data collection node. After receiving the data, the data acquisition node encrypts the data to form encrypted energy consumption data; and packaging the encrypted data into a block, and adding the block to the blockchain. In this way, a tamper-proof data record is formed, ensuring the credibility and integrity of the data.
In the above embodiment, the data collection module 101 based on the blockchain technology can ensure the safety and the reliability of the energy consumption data of each enterprise in the industrial park. This provides a reliable basis for subsequent data processing and power optimization.
In some embodiments, the data processing module 102 includes:
the decryption verification unit is used for decrypting the encrypted energy consumption data to obtain the energy consumption data; and verifies whether the energy consumption data is complete or whether tamper marks exist. Specifically, encrypted energy consumption data is obtained from the blockchain and decrypted. Meanwhile, the integrity and consistency of the data are verified, and the data are ensured not to be tampered in the transmission process.
The cleaning integration unit is used for removing abnormal values, repeated values and missing values of the complete energy consumption data to obtain accurate energy consumption data; and integrating the accurate energy consumption data to obtain an integrated data set.
The index calculation unit is used for calculating electricity utilization data according to the integrated data set; and obtaining carbon emission indexes according to the integrated data set, and obtaining carbon emission data according to carbon emission calculation standards and carbon emission indexes.
Specifically, assuming that there are three enterprises A, B, C in the industrial park, the energy consumption data thereof needs to be collected and analyzed, and taking the electricity quantity data in the energy consumption data as an example, the following is an example of cleaning, integrating and calculating the carbon emission index for the electricity quantity data:
1. the data cleaning function is to remove abnormal values, repeated values and missing values in the original data, ensure the data quality and provide accurate data for subsequent data analysis and processing.
Raw data:
enterprise a: power consumption [10,15,20, -5,25,10] (units: kilowatt-hour, there are outliers)
Enterprise B: power consumption [20,25,30,35,20,20] (there are repeated values)
Enterprise C: power consumption [30,35,40,45, null ] (missing value exists)
Data after washing:
enterprise a: power consumption [10,15,20,25,10]
Enterprise B: electric quantity [20,25,30,35,20 ]
Enterprise C: electricity consumption [30,35,40,45,30 ] (assume that the supplementary missing value is 30)
2. The data integration has the function of integrating the energy consumption data of different enterprises to form a unified integrated data set, so that the subsequent data analysis and mining are convenient. The format of the integrated dataset is as follows:
3. data analysis, in particular descriptive analysis of the integrated dataset. The data analysis is used for extracting valuable information and rules from the integrated data set and providing basis for the energy consumption judging module 103 and the electricity optimizing module 104. For example:
4. and (3) calculating indexes, wherein the function of the index calculation is to quantify the electric energy consumption and the carbon emission of the industrial park, and provide references for electricity optimization and carbon emission regulation. In calculating the carbon emission index, take the example of assuming that 1.5kg of carbon dioxide is produced per kilowatt-hour of electricity:
the carbon emission calculation criteria are calibrated according to relevant policies and criteria, which may include carbon emission calculation methods based on energy consumption, plant operating parameters, production processes, etc., i.e. carbon emissions may also be calculated from other data in the encrypted energy consumption data.
And calculating the carbon emission data of each enterprise in the industrial park in real time according to the calibrated carbon emission calculation standard. The carbon emission data may include total carbon emission, single carbon emission, carbon emission intensity, and the like.
In a specific implementation, the data processing module 102 may also set a reasonable carbon emission alarm threshold to prompt the enterprise to take measures when carbon emissions exceed an allowable range. Thereby helping enterprises to better control carbon emission and realizing the aims of energy conservation and emission reduction.
Referring to fig. 3, another embodiment of the present application provides an intelligent electricity management method based on carbon emission and energy consumption, including:
step S1, acquiring encrypted energy consumption data of each enterprise in the industrial park in real time through a block chain network.
And S2, cleaning and integrating the encrypted energy consumption data of each enterprise to obtain an integrated data set.
And S3, analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise.
And S4, obtaining output data of each enterprise.
And S5, determining the enterprises to be regulated according to the electricity consumption data, the carbon emission data and the output data of each enterprise.
And S6, determining an electricity consumption adjustment strategy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted, and sending the electricity consumption adjustment strategy to the enterprise to be adjusted.
According to the intelligent electricity management method based on the carbon emission and the energy consumption, the encrypted energy consumption data of electric equipment of each enterprise in an industrial park is obtained in real time, the encrypted energy consumption data are processed to obtain electricity consumption data and carbon emission data of each enterprise, an enterprise to be adjusted, which needs to adjust electricity consumption, is determined according to the energy consumption data and the carbon emission data of each enterprise, and an electricity adjustment strategy is customized for the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted. The method can realize effective monitoring and energy-saving control on carbon emission and energy consumption of each enterprise in the industrial park, and is beneficial to sustainable development of the industrial park.
Embodiments of the present application provide a computer device that may include a processor, memory, network interface, and database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, causes the processor to perform the steps of an intelligent electricity management method based on carbon emissions and energy consumption as described above.
The working process, working details and technical effects of the computer device provided in this embodiment can be referred to the above embodiments of an intelligent electricity management method based on carbon emission and energy consumption, and are not described herein.
The embodiment of the application provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the steps of the intelligent electricity management method based on carbon emission and energy consumption. The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The working process, working details and technical effects of the computer readable storage medium provided in this embodiment can be referred to above as an embodiment of intelligent electricity management based on carbon emission and energy consumption, and will not be described herein.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description. The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. An intelligent electricity management system based on carbon emission and energy consumption, which is characterized by comprising:
the data acquisition module is used for carrying out real-time data acquisition on energy utilization equipment of each enterprise in the industrial park through the blockchain network to obtain encrypted energy consumption data of each enterprise;
the data processing module is used for cleaning and integrating the encrypted energy consumption data of each enterprise to obtain an integrated data set; analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise;
the energy consumption judging module is used for acquiring output data of each enterprise and determining an enterprise to be regulated according to the electricity consumption data, the carbon emission data and the output data of each enterprise;
and the electricity consumption optimization module is used for determining an electricity consumption adjustment strategy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted and sending the electricity consumption adjustment strategy to the enterprise to be adjusted.
2. The intelligent electricity management system based on carbon emissions and energy consumption of claim 1, further comprising:
the data monitoring module is used for taking the electricity consumption data and the carbon emission data of the enterprise to be regulated as initial energy consumption data before sending the electricity consumption regulation strategy; and taking the electricity consumption data and the carbon emission data of the enterprise to be regulated after the electricity consumption regulation strategy is sent as current energy consumption data;
the optimization judging module is used for judging whether the difference value between the initial energy consumption data and the current energy consumption data exceeds a threshold value corresponding to the electricity utilization adjustment strategy; and generating an optimization disqualification warning message when the optimization disqualification warning message is not exceeded.
3. The intelligent electricity management system based on carbon emissions and energy consumption of claim 2, further comprising:
the background management module is used for carrying out trend analysis on the electricity consumption data and the carbon emission data of each enterprise, and sending analysis results of the enterprises corresponding to the query instruction to a display interface when the query instruction is received; and sending the optimized disqualification warning information to the enterprise corresponding to the electricity utilization adjustment strategy.
4. The intelligent electricity management system based on carbon emissions and energy consumption of claim 3, wherein the background management module is further configured to receive an electrical energy alarm threshold and a carbon emission alarm threshold, and send pre-warning information to the enterprise corresponding to the electricity usage data exceeding the electrical energy alarm threshold or the carbon emission data exceeding the carbon emission alarm threshold.
5. The intelligent electricity management system based on carbon emissions and energy consumption of claim 3, wherein the background management module is further configured to send the electricity adjustment policy generated by the electricity optimization module to a display interface; and receiving a strategy modification instruction, and modifying the electricity utilization adjustment strategy according to the strategy modification instruction.
6. The intelligent electricity management system based on carbon emissions and energy consumption of claim 1, wherein the blockchain network comprises data collection nodes in one-to-one correspondence with each of the enterprises;
the data acquisition node is used for acquiring the energy consumption data corresponding to the enterprise in real time through a plurality of intelligent sensors, and encrypting the energy consumption data to obtain the encrypted energy consumption data.
7. The intelligent electricity management system based on carbon emissions and energy consumption of claim 1, wherein the data processing module comprises:
the decryption verification unit is used for decrypting the encrypted energy consumption data to obtain energy consumption data; verifying whether the energy consumption data is complete or whether tamper marks exist;
the cleaning integration unit is used for carrying out abnormal value removal, repeated value removal and missing value removal on the complete energy consumption data to obtain accurate energy consumption data; integrating the accurate energy consumption data to obtain an integrated data set;
the index calculation unit is used for calculating the electricity utilization data according to the integrated data set; and obtaining a carbon emission index according to the integrated data set, and obtaining the carbon emission data according to a carbon emission calculation standard and the carbon emission index.
8. An intelligent electricity management method based on carbon emission and energy consumption is characterized by comprising the following steps:
acquiring encrypted energy consumption data of each enterprise in the industrial park in real time through a block chain network;
cleaning and integrating the encrypted energy consumption data of each enterprise to obtain an integrated data set;
analyzing the integrated data set to obtain electricity consumption data and carbon emission data of each enterprise;
obtaining output data of each enterprise;
determining enterprises to be regulated according to the electricity consumption data, the carbon emission data and the output data of each enterprise;
and determining an electricity consumption adjustment strategy of the enterprise to be adjusted according to the electricity consumption data and the carbon emission data of the enterprise to be adjusted, and sending the electricity consumption adjustment strategy to the enterprise to be adjusted.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the intelligent electricity management method based on carbon emissions and energy consumption as in claim 8 when the computer program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the intelligent electricity management method based on carbon emissions and energy consumption as claimed in claim 8.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114819648A (en) * | 2022-04-24 | 2022-07-29 | 咏恒科技(北京)有限公司 | Block chain-based carbon emission control method and device, electronic equipment and medium |
| CN115841228A (en) * | 2022-11-28 | 2023-03-24 | 国网福建省电力有限公司 | High-energy-consumption industry carbon management method, terminal and system based on cloud computing |
| CN115860351A (en) * | 2022-09-21 | 2023-03-28 | 国网青海省电力公司经济技术研究院 | Method and system for determining energy-saving emission-reducing target of high-energy-consumption enterprise |
| CN115879670A (en) * | 2022-11-28 | 2023-03-31 | 三峡大学 | Method and system for extracting carbon emission of high-power-consumption enterprise |
| CN116188229A (en) * | 2023-02-22 | 2023-05-30 | 国网安徽省电力有限公司营销服务中心 | Method and device for carbon emission management in key industry |
| CN116341806A (en) * | 2022-11-10 | 2023-06-27 | 国网宁夏电力有限公司电力科学研究院 | Method and device for monitoring and early warning of carbon emission of enterprise based on digital evidence storage |
-
2023
- 2023-09-26 CN CN202311254761.5A patent/CN117217966A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114819648A (en) * | 2022-04-24 | 2022-07-29 | 咏恒科技(北京)有限公司 | Block chain-based carbon emission control method and device, electronic equipment and medium |
| CN115860351A (en) * | 2022-09-21 | 2023-03-28 | 国网青海省电力公司经济技术研究院 | Method and system for determining energy-saving emission-reducing target of high-energy-consumption enterprise |
| CN116341806A (en) * | 2022-11-10 | 2023-06-27 | 国网宁夏电力有限公司电力科学研究院 | Method and device for monitoring and early warning of carbon emission of enterprise based on digital evidence storage |
| CN115841228A (en) * | 2022-11-28 | 2023-03-24 | 国网福建省电力有限公司 | High-energy-consumption industry carbon management method, terminal and system based on cloud computing |
| CN115879670A (en) * | 2022-11-28 | 2023-03-31 | 三峡大学 | Method and system for extracting carbon emission of high-power-consumption enterprise |
| CN116188229A (en) * | 2023-02-22 | 2023-05-30 | 国网安徽省电力有限公司营销服务中心 | Method and device for carbon emission management in key industry |
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