CN116579546B - Intelligent electricity consumption data analysis and management system based on park - Google Patents

Intelligent electricity consumption data analysis and management system based on park Download PDF

Info

Publication number
CN116579546B
CN116579546B CN202310401387.0A CN202310401387A CN116579546B CN 116579546 B CN116579546 B CN 116579546B CN 202310401387 A CN202310401387 A CN 202310401387A CN 116579546 B CN116579546 B CN 116579546B
Authority
CN
China
Prior art keywords
park
information
carbon emission
profit
parks
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310401387.0A
Other languages
Chinese (zh)
Other versions
CN116579546A (en
Inventor
王杨
周世杰
王丽芳
夏林君
金晓明
陈中乐
楼锦程
杨千慧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Rongda Electric Power Engineering Co ltd
Original Assignee
Zhejiang Rongda Electric Power Engineering Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Rongda Electric Power Engineering Co ltd filed Critical Zhejiang Rongda Electric Power Engineering Co ltd
Priority to CN202310401387.0A priority Critical patent/CN116579546B/en
Publication of CN116579546A publication Critical patent/CN116579546A/en
Application granted granted Critical
Publication of CN116579546B publication Critical patent/CN116579546B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/84Greenhouse gas [GHG] management systems

Abstract

The invention discloses an intelligent electricity consumption data analysis and management system based on a park, which comprises a park information acquisition module, an Internet information acquisition module, a history acquisition module, other park acquisition modules, a data processing module, a master control module and an information sending module, wherein the data processing module is used for processing the data of the park information; the park information acquisition module is used for acquiring real-time park information, wherein the real-time park information comprises park enterprise information, park electricity consumption information, park profit information, park carbon emission information and estimated total carbon emission information; the Internet acquisition module is used for acquiring park information of the same park in other areas; the history record module is used for collecting the history record information of enterprises in the parks, other parks collection module is used for collecting the park information of other parks of analysis target parks place, namely other parks information. The invention can better and more intelligently analyze and distribute the electricity consumption of the production park.

Description

Intelligent electricity consumption data analysis and management system based on park
Technical Field
The invention relates to the field of electricity analysis, in particular to an intelligent electricity data analysis and management system based on a park.
Background
The electricity consumption analysis refers to investigation, statistics and analysis of electricity consumption conditions and relevant dynamic states thereof, and is used for reflecting the dynamic state, trend and electric energy utilization effect of national economy development of countries and regions. Through each item of statistical data in electricity consumption, scientific classification is carried out, the running conditions and resident living conditions of each industry of national economy corresponding to the scientific classification are respectively investigated, longitudinal and transverse quantitative and qualitative analysis is carried out, the regular social economy development dynamic state, electricity consumption state and development trend thereof are found out, problems exist, and corresponding suggestions are provided;
when electricity analysis is performed, an electricity analysis and distribution system is needed, so that a user can know the actual electricity consumption condition to perform electricity distribution.
The existing electricity data analysis and management system has poor electricity analysis and electricity distribution effects, cannot meet actual use requirements, and brings a certain influence to the use of the electricity data analysis and management system, so that the intelligent electricity data analysis and management system based on a park is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problem of the existing electricity data analysis and management system that the electricity analysis and electricity distribution effect is poor, the actual use requirement is not met, and a certain influence is brought to the use of the electricity data analysis and management system, therefore, the intelligent electricity data analysis and management system based on the park is provided, and the intelligent electricity data analysis and management system based on the park is provided.
The invention solves the technical problems through the following technical scheme that the system comprises a park information acquisition module, an Internet information acquisition module, a history acquisition module, other park acquisition modules, a data processing module, a master control module and an information sending module;
the park information acquisition module is used for acquiring real-time park information, wherein the real-time park information comprises park enterprise information, park electricity consumption information, park profit information, park carbon emission information and estimated total carbon emission information;
the Internet acquisition module is used for acquiring park information of the same park in other areas;
the history record module is used for collecting history record information of enterprises in the parks, and the other park collecting module is used for collecting park information of other parks where the analysis target parks are located, namely, other park information;
the data processing module is used for processing the real-time park information and the park information of the same park in other areas to generate first park analysis information;
the data processing module processes the real-time park information and the history record information to generate second park analysis information;
the data processing module processes the real-time park information and other park information to generate electricity distribution information;
the master control module is used for controlling the information sending module to send the information to the preset receiving terminal after the first park analysis information, the second park analysis information and the electricity consumption distribution information are generated.
Further, the specific processing procedure of the first campus analysis information is as follows: the method comprises the steps of extracting collected real-time park information, processing the real-time park information to obtain park real-time parameter information, extracting park information of other parks, processing the park information of other parks to obtain other park parameter information, calculating park network parameters, and processing the park real-time parameter information and the park network parameters to obtain first park analysis information.
Further, the specific processing process of the park real-time parameter information is as follows: extracting park electricity consumption information, park profit information and park carbon emission information in real-time park information, marking the park electricity consumption information as K1, marking the park profit information as K2, calculating the ratio between the park profit information K2 and the park electricity consumption information K1, namely unit electricity consumption profit information Kk1, marking the park carbon emission information as K3, calculating the ratio between the park profit information K2 and the park carbon emission information K3, namely unit profit carbon emission amount Kk2, and forming real-time park parameter information by the unit electricity consumption profit information Kk1 and the unit profit carbon emission amount Kk 2;
the specific processing procedure of the park network parameters is as follows: the method comprises the steps of extracting collected park information of the same park of all other areas, carrying out the same processing with the real-time parameter information of the park, obtaining unit profit carbon emission and unit electricity consumption profit information of the same park of a plurality of other areas, calculating the average value of the unit profit carbon emission of the same park of the plurality of other areas, obtaining a first network parameter, calculating the average value of the unit electricity consumption profit information of the same park of the plurality of other areas, obtaining a second network parameter, and forming the park network parameter by the first network parameter and the second network parameter.
Further, the first campus analysis information obtained by processing the real-time campus parameter information and the campus network parameter comprises a first-level campus, a second-level campus and a third-level campus, and the process of the first-level campus analysis information is as follows: extracting real-time parameter information of a park, extracting unit electricity consumption profit information and unit profit carbon emission amount from the information, extracting a first network parameter and a second network parameter, calculating a difference value between the unit electricity consumption profit information and the first network parameter, obtaining a first evaluation coefficient, calculating a difference value between the unit profit carbon emission amount and the second network parameter, obtaining a second evaluation coefficient, generating a first-level park when the first evaluation coefficient is larger than a preset value and the second evaluation coefficient is smaller than the preset value, generating a second-level park when the first evaluation coefficient is smaller than the preset value and generating a third-level park when the second evaluation coefficient is larger than the preset value.
Further, the second campus analysis information includes a first campus, a second campus, and a third campus, and a specific processing procedure of the second campus analysis information is as follows: the method comprises the steps of extracting collected park electricity information, park profit information and park carbon emission information, respectively marking the collected park electricity information, the park profit information and the park carbon emission information as E1, E2 and E3, then extracting the previous park electricity information, park profit information and park carbon emission information of m years from a history record, calculating the average value of the park electricity information, the average value of the park profit information and the average value of the park carbon emission information of m years, then calculating the difference A1 between the park electricity information and the average value of the park electricity information of m years, the difference A2 between the park profit information and the average value of the park profit information of m years, and the difference A3 between the park carbon emission information and the average value of the park carbon emission information of m years, wherein when A1 is smaller than a preset value, A2 is larger than the preset value, A3 is smaller than the preset value, namely, a first park is generated, and when any one of A1 and A3 is smaller than the preset value, A2 is larger than the second park is generated, and when A1 and A3 is smaller than the preset value, namely, the third park is generated.
Further, the specific process of the internet collection module for collecting the park information of the same park in other areas is as follows: the method comprises the steps of extracting park enterprise information from real-time park information, importing the park enterprise information into the Internet, acquiring park information of parks which are the same as the park enterprise information in the real-time park information in other areas, and at least acquiring park information of x identical parks, wherein x is more than or equal to 3.
The power consumption distribution information is priority distribution information and other distribution information, and the specific processing procedure of the power consumption distribution is as follows: extracting park electricity information, park profit information, park carbon emission information and estimated total carbon emission information from real-time park information, and marking the park electricity information, the park profit information, the park carbon emission information and the estimated total carbon emission information with Q1, Q2, Q3 and Q4;
then, acquiring park electricity information, park profit information, park carbon emission information and estimated total carbon emission information of other parks from the extracted other park information, and marking the park electricity information, the park profit information, the park carbon emission information and the estimated total carbon emission information as Ti1, ti2, ti3 and Ti4, wherein i is the quantity information of other parks;
and calculating the difference between Q4 and Q3, acquiring residual carbon emission information Qq, processing Ti3 and Ti4, acquiring residual carbon emission information Tti of i other parks, and generating priority distribution information when the residual carbon emission information Qq is larger than the residual carbon emission information Tti of other parks and Q1 is smaller than Ti1 of park electricity consumption information of all other parks and Q1 is larger than park profit information Ti2 of all other parks, wherein when the residual carbon emission information Qq is smaller than the residual carbon emission information Tti of other parks and Q1 is smaller than Ti1 of park electricity consumption information of all other parks, generating other distribution information no matter what value Q2 is.
Compared with the prior art, the invention has the following advantages: this intelligent power consumption data analysis and management system based on garden data analysis handles the garden information of the same garden of real-time garden information and other areas, generate first garden analysis information, through the first garden analysis information of production, let the user can know the same enterprise industry production difference in enterprise garden and other areas, thereby according to the production difference, optimize production technology etc. reduce emission and consumption, promote the profit, generate second garden analysis information through handling real-time garden information and history record information, second garden analysis information's setting lets the user know whether the garden is compared to the year and has promoted, thereby make better production planning, promote profit reduction consumption and emission, and handle the power consumption distribution information of production to real-time garden information and other garden information, can intelligent power consumption priority distribution according to the power consumption condition of actual enterprise, profit condition and emission condition, thereby guarantee that the little enterprise of emission of profit can obtain more stable power supply, let this system worth more popularizing and using.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: the intelligent electricity consumption data analysis and management system based on the park comprises a park information acquisition module, an Internet information acquisition module, a history acquisition module, other park acquisition modules, a data processing module, a master control module and an information sending module;
the park information acquisition module is used for acquiring real-time park information, wherein the real-time park information comprises park enterprise information, park electricity consumption information, park profit information, park carbon emission information and estimated total carbon emission information;
the Internet acquisition module is used for acquiring park information of the same park in other areas;
the history record module is used for collecting history record information of enterprises in the parks, and the other park collecting module is used for collecting park information of other parks where the analysis target parks are located, namely, other park information;
the data processing module is used for processing the real-time park information and the park information of the same park in other areas to generate first park analysis information;
the data processing module processes the real-time park information and the history record information to generate second park analysis information;
the data processing module processes the real-time park information and other park information to generate electricity distribution information;
the master control module is used for controlling the information sending module to send the information to a preset receiving terminal after the first park analysis information, the second park analysis information and the electricity distribution information are generated;
according to the invention, the first park analysis information is generated by processing the real-time park information and the park information of the same park in other areas, the user can know the production difference of the enterprise park and the same enterprise industry in other areas through the generated first park analysis information, so that the emission and consumption are reduced according to the production difference, the production process is optimized, the profit is improved, the second park analysis information is generated by processing the real-time park information and the historical record information, the user can know whether the park is improved compared with the past year or not through the setting of the second park analysis information, the better production planning is formulated, the profit is improved, the consumption and the emission are reduced, and the real-time park information and the other park information are processed to generate the electricity distribution information, so that the electricity priority distribution can be intelligently performed according to the electricity consumption condition, the profit condition and the emission condition of an actual enterprise, and the enterprise with low profit can be ensured to obtain more stable electricity supply.
The specific processing procedure of the first campus analysis information is as follows: extracting collected real-time park information, processing the real-time park information to obtain park real-time parameter information, extracting park information of other parks, processing the park information of other parks to obtain other park parameter information, calculating park network parameters, and processing the park real-time parameter information and the park network parameters to obtain first park analysis information;
through the process, the first park information can be acquired more accurately to be supplied to the user for reference, so that industrial technology optimization is performed, profits are improved, emission is reduced, and consumption is reduced.
The specific processing process of the real-time parameter information of the park is as follows: extracting park electricity consumption information, park profit information and park carbon emission information in real-time park information, marking the park electricity consumption information as K1, marking the park profit information as K2, calculating the ratio between the park profit information K2 and the park electricity consumption information K1, namely unit electricity consumption profit information Kk1, marking the park carbon emission information as K3, calculating the ratio between the park profit information K2 and the park carbon emission information K3, namely unit profit carbon emission amount Kk2, and forming real-time park parameter information by the unit electricity consumption profit information Kk1 and the unit profit carbon emission amount Kk 2;
the specific processing procedure of the park network parameters is as follows: extracting collected park information of the same park in all other areas, carrying out the same processing as the real-time parameter information of the park, obtaining unit profit carbon emission and unit electricity consumption profit information of the same park in a plurality of other areas, calculating the average value of the unit profit carbon emission of the same park in the plurality of other areas, obtaining a first network parameter, calculating the average value of the unit electricity consumption profit information of the same park in the plurality of other areas, obtaining a second network parameter, and forming the park network parameter by the first network parameter and the second network parameter;
through the process, more accurate real-time parameter information and park network parameters can be obtained, so that the accuracy of the generated first park analysis information is ensured, and the generation error of the first park analysis information is avoided;
the first park analysis information obtained by processing the park real-time parameter information and the park network parameters comprises a first-level park, a second-level park and a third-level park, and the process of the first park analysis information is as follows: extracting real-time parameter information of a park, extracting unit electricity consumption profit information and unit profit carbon emission amount from the real-time parameter information, extracting a first network parameter and a second network parameter, calculating a difference value between the unit electricity consumption profit information and the first network parameter, obtaining a first evaluation coefficient, calculating a difference value between the unit profit carbon emission amount and the second network parameter, obtaining a second evaluation coefficient, generating a first-level park when the first evaluation coefficient is larger than a preset value and the second evaluation coefficient is smaller than the preset value, generating a second-level park when the second evaluation coefficient is smaller than the preset value and generating a third-level park when the second evaluation coefficient is larger than the preset value;
the first-level park is superior to the same park in other areas, the second-level park is smaller than the same park in other areas, and the third-level park is worse than the same park in other areas.
The second campus analysis information comprises a first campus, a second campus and a third campus, and the specific processing process of the second campus analysis information is as follows: the method comprises the steps of extracting collected park electricity information, park profit information and park carbon emission information, respectively marking the collected park electricity information, park profit information and park carbon emission information as E1, E2 and E3, then extracting the previous park electricity information, park profit information and park carbon emission information of m years from a history record, calculating the average value of the park electricity information, the average value of the park profit information and the average value of the park carbon emission information of m years, then calculating the difference A1 between the park electricity information and the average value of the park electricity information of m years, the difference A2 between the park profit information and the average value of the park profit information of m years, and the difference A3 between the park carbon emission information and the average value of the park carbon emission information of m years, and generating a first park when A1 is smaller than a preset value, A2 is larger than the preset value, and A3 is smaller than the preset value, namely generating a second park when any one of A1 and A3 is smaller than the preset value, and A2 is smaller than the third zone when A1 and A3 is smaller than the preset value;
the first park indicates that the park is relatively large compared with the previous lift, the second park indicates that the park is relatively small compared with the previous lift, and the third park indicates that the park is relatively reverse compared with the previous lift.
The specific process of the internet collection module for collecting the park information of the same park in other areas is as follows: extracting park enterprise information from the real-time park information, importing the park enterprise information into the Internet, acquiring park information of parks which are the same as the park enterprise information in the real-time park information in other areas, and at least acquiring park information of x identical parks, wherein x is more than or equal to 3;
through the process, all finer park information of the same park as the park enterprise information in the real-time park information can be acquired, so that the accuracy of analyzed data is guaranteed.
The electricity consumption distribution information is priority distribution information and other distribution information, and the specific processing procedure of the electricity consumption distribution is as follows: extracting park electricity information, park profit information, park carbon emission information and estimated total carbon emission information from real-time park information, and marking the park electricity information, the park profit information, the park carbon emission information and the estimated total carbon emission information with Q1, Q2, Q3 and Q4;
then, acquiring park electricity information, park profit information, park carbon emission information and estimated total carbon emission information of other parks from the extracted other park information, and marking the park electricity information, the park profit information, the park carbon emission information and the estimated total carbon emission information as Ti1, ti2, ti3 and Ti4, wherein i is the quantity information of other parks;
calculating the difference between Q4 and Q3, obtaining residual carbon emission information Qq, processing Ti3 and Ti4, obtaining residual carbon emission information Tti of i other parks, when the residual carbon emission information Qq is larger than the residual carbon emission information Tti of other parks and Q1 is smaller than Ti1 of park electricity consumption information of all other parks and Q1 is larger than park profit information Ti2 of all other parks, generating priority distribution information, and when the residual carbon emission information Qq is smaller than the residual carbon emission information Tti of other parks and Q1 is smaller than Ti1 of park electricity consumption information of all other parks, generating other distribution information no matter what value Q2 is;
through the process, the priority distribution information and other distribution information can be generated according to actual conditions, the priority distribution information is generated, namely, the priority distribution information is used for supplying power to the monitoring park, the power utilization stability of the park is guaranteed, the other distribution information is used for indicating that the generation technology of the monitoring park is poor, and the priority distribution information is used for supplying power to other parks.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (2)

1. The intelligent electricity consumption data analysis and management system based on the park is characterized by comprising a park information acquisition module, an Internet information acquisition module, a history acquisition module, other park acquisition modules, a data processing module, a master control module and an information sending module;
the park information acquisition module is used for acquiring real-time park information, wherein the real-time park information comprises park enterprise information, park electricity consumption information, park profit information, park carbon emission information and estimated total carbon emission information;
the Internet acquisition module is used for acquiring park information of the same park in other areas;
the history record collecting module is used for collecting history record information of enterprises in the parks, and the other park collecting module is used for collecting and analyzing park information of other parks of the target park, namely, other park information;
the data processing module is used for processing the real-time park information and the park information of the same park in other areas to generate first park analysis information;
the data processing module processes the real-time park information and the history record information to generate second park analysis information;
the data processing module processes the real-time park information and other park information to generate electricity distribution information;
the master control module is used for controlling the information sending module to send the information to a preset receiving terminal after the first park analysis information, the second park analysis information and the electricity distribution information are generated;
the specific processing procedure of the first campus analysis information is as follows: extracting collected real-time park information, processing the real-time park information to obtain park real-time parameter information, extracting park information of other parks, processing the park information of other parks to obtain other park parameter information, calculating park network parameters, and processing the park real-time parameter information and the park network parameters to obtain first park analysis information;
the specific processing process of the real-time parameter information of the park is as follows: extracting park electricity consumption information, park profit information and park carbon emission information in real-time park information, marking the park electricity consumption information as K1, marking the park profit information as K2, calculating the ratio between the park profit information K2 and the park electricity consumption information K1, namely unit electricity consumption profit information Kk1, marking the park carbon emission information as K3, calculating the ratio between the park profit information K2 and the park carbon emission information K3, namely unit profit carbon emission amount Kk2, and forming real-time park parameter information by the unit electricity consumption profit information Kk1 and the unit profit carbon emission amount Kk 2;
the specific processing procedure of the park network parameters is as follows: extracting collected park information of the same park in all other areas, carrying out the same processing as the real-time parameter information of the park, obtaining unit profit carbon emission and unit electricity consumption profit information of the same park in a plurality of other areas, calculating the average value of the unit profit carbon emission of the same park in the plurality of other areas, obtaining a first network parameter, calculating the average value of the unit electricity consumption profit information of the same park in the plurality of other areas, obtaining a second network parameter, and forming the park network parameter by the first network parameter and the second network parameter;
the first park analysis information obtained by processing the park real-time parameter information and the park network parameters comprises a first-level park, a second-level park and a third-level park, and the process of the first park analysis information is as follows: extracting real-time parameter information of a park, extracting unit electricity consumption profit information and unit profit carbon emission amount from the real-time parameter information, extracting a first network parameter and a second network parameter, calculating a difference value between the unit electricity consumption profit information and the first network parameter, obtaining a first evaluation coefficient, calculating a difference value between the unit profit carbon emission amount and the second network parameter, obtaining a second evaluation coefficient, generating a first-level park when the first evaluation coefficient is larger than a preset value and the second evaluation coefficient is smaller than the preset value, generating a second-level park when the second evaluation coefficient is smaller than the preset value and generating a third-level park when the second evaluation coefficient is larger than the preset value;
the second campus analysis information comprises a first campus, a second campus and a third campus, and the specific processing process of the second campus analysis information is as follows: the method comprises the steps of extracting collected park electricity information, park profit information and park carbon emission information, respectively marking the collected park electricity information, park profit information and park carbon emission information as E1, E2 and E3, then extracting the previous park electricity information, park profit information and park carbon emission information of m years from a history record, calculating the average value of the park electricity information, the average value of the park profit information and the average value of the park carbon emission information of m years, then calculating the difference A1 between the park electricity information and the average value of the park electricity information of m years, the difference A2 between the park profit information and the average value of the park profit information of m years, and the difference A3 between the park carbon emission information and the average value of the park carbon emission information of m years, and generating a first park when A1 is smaller than a preset value, A2 is larger than the preset value, and A3 is smaller than the preset value, namely generating a second park when any one of A1 and A3 is smaller than the preset value, and A2 is smaller than the third zone when A1 and A3 is smaller than the preset value;
the electricity consumption distribution information is priority distribution information and other distribution information, and the specific processing procedure of the electricity consumption distribution is as follows: extracting park electricity information, park profit information, park carbon emission information and estimated total carbon emission information from real-time park information, and marking the park electricity information Q1, the park profit information Q2, the park carbon emission information Q3 and the estimated total carbon emission information Q4;
then, acquiring park electricity information, park profit information, park carbon emission information and estimated total carbon emission information of other parks from the extracted other park information, marking the park electricity information of the other parks as Ti1, the park profit information of the other parks as Ti2, the park carbon emission information of the other parks as Ti3, the estimated total carbon emission information of the other parks as Ti4 and i as the quantity information of the other parks;
and calculating the difference between Q4 and Q3, acquiring residual carbon emission information Qq, processing Ti3 and Ti4, acquiring residual carbon emission information Tti of i other parks, and generating priority distribution information when the residual carbon emission information Qq is larger than the residual carbon emission information Tti of other parks and Q1 is smaller than Ti1 of park electricity consumption information of all other parks and Q1 is larger than park profit information Ti2 of all other parks, wherein when the residual carbon emission information Qq is smaller than the residual carbon emission information Tti of other parks and Q1 is smaller than Ti1 of park electricity consumption information of all other parks, generating other distribution information no matter what value Q2 is.
2. The intelligent electricity data analysis and management system based on a campus of claim 1, wherein: the specific process of the internet collection module for collecting the park information of the same park in other areas is as follows: the method comprises the steps of extracting park enterprise information from real-time park information, importing the park enterprise information into the Internet, acquiring park information of parks which are the same as the park enterprise information in the real-time park information in other areas, and at least acquiring park information of x identical parks, wherein x is more than or equal to 3.
CN202310401387.0A 2023-04-15 2023-04-15 Intelligent electricity consumption data analysis and management system based on park Active CN116579546B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310401387.0A CN116579546B (en) 2023-04-15 2023-04-15 Intelligent electricity consumption data analysis and management system based on park

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310401387.0A CN116579546B (en) 2023-04-15 2023-04-15 Intelligent electricity consumption data analysis and management system based on park

Publications (2)

Publication Number Publication Date
CN116579546A CN116579546A (en) 2023-08-11
CN116579546B true CN116579546B (en) 2023-12-12

Family

ID=87542220

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310401387.0A Active CN116579546B (en) 2023-04-15 2023-04-15 Intelligent electricity consumption data analysis and management system based on park

Country Status (1)

Country Link
CN (1) CN116579546B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015076859A1 (en) * 2013-11-22 2015-05-28 Eliot Gerber Production of electric power from fossil fuel with almost zero air pollution
CN111861551A (en) * 2020-07-08 2020-10-30 海宁同兴智慧园区管理有限公司 Intelligent monitoring and management system for electricity consumption of park
CN113344452A (en) * 2021-07-05 2021-09-03 深圳云谷星辰信息技术有限公司 Park energy consumption management and control method and system, intelligent terminal and storage medium
CN113657661A (en) * 2021-08-12 2021-11-16 南方电网数字电网研究院有限公司 Enterprise carbon emission prediction method and device, computer equipment and storage medium
CN114142617A (en) * 2021-12-07 2022-03-04 国网江苏省电力有限公司扬州供电分公司 Comprehensive energy planning method based on power utilization of industrial park
KR20220036814A (en) * 2020-09-16 2022-03-23 주식회사 세수 System for distributing profits of renewable energy to residents
CN115908080A (en) * 2022-12-06 2023-04-04 速度时空信息科技股份有限公司 Carbon emission optimization method and system based on multidimensional data analysis

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015076859A1 (en) * 2013-11-22 2015-05-28 Eliot Gerber Production of electric power from fossil fuel with almost zero air pollution
CN111861551A (en) * 2020-07-08 2020-10-30 海宁同兴智慧园区管理有限公司 Intelligent monitoring and management system for electricity consumption of park
KR20220036814A (en) * 2020-09-16 2022-03-23 주식회사 세수 System for distributing profits of renewable energy to residents
CN113344452A (en) * 2021-07-05 2021-09-03 深圳云谷星辰信息技术有限公司 Park energy consumption management and control method and system, intelligent terminal and storage medium
CN113657661A (en) * 2021-08-12 2021-11-16 南方电网数字电网研究院有限公司 Enterprise carbon emission prediction method and device, computer equipment and storage medium
CN114142617A (en) * 2021-12-07 2022-03-04 国网江苏省电力有限公司扬州供电分公司 Comprehensive energy planning method based on power utilization of industrial park
CN115908080A (en) * 2022-12-06 2023-04-04 速度时空信息科技股份有限公司 Carbon emission optimization method and system based on multidimensional data analysis

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
碳交易政策对电煤供应链利润及碳排放量影响的仿真分析;廖诺;赵亚莉;贺勇;周雅;;中国管理科学(08);全文 *

Also Published As

Publication number Publication date
CN116579546A (en) 2023-08-11

Similar Documents

Publication Publication Date Title
CN112734284B (en) Flow industrial energy consumption optimization decision system and method for improving accuracy of evaluation result
CN105868887A (en) Building comprehensive energy efficiency analysis method based on subentry measure
CN116028887B (en) Analysis method of continuous industrial production data
CN115099594A (en) Building energy consumption management method and system based on Internet of things
CN112651848A (en) Interactive park energy management and control system and method
CN116796403A (en) Building energy saving method based on comprehensive energy consumption prediction of commercial building
CN108876154A (en) A kind of Electric Power Network Planning big data analysis system
CN110738415A (en) Electricity stealing user analysis method based on electricity utilization acquisition system and outlier algorithm
CN110555619A (en) Power supply capacity evaluation method based on intelligent power distribution network
CN114742397A (en) Electric power planning system based on ECI area model
CN117559443A (en) Ordered power utilization control method for large industrial user cluster under peak load
CN112785427B (en) Enterprise credit analysis system based on power data
CN104834787B (en) Perception and analysis method for energy consumption of bearing grinding machine production workshop
CN116579546B (en) Intelligent electricity consumption data analysis and management system based on park
CN113689079A (en) Transformer area line loss prediction method and system based on multivariate linear regression and cluster analysis
CN113822587B (en) Factory capacity evaluation method based on bus current data
CN114676931B (en) Electric quantity prediction system based on data center technology
CN115271390A (en) Carbon neutralization system based on industrial park
CN115438958A (en) Intelligent energy efficiency management system based on Internet and management method thereof
CN110414776B (en) Quick response analysis system for power utilization characteristics of different industries
CN211183538U (en) Marketing platform district line loss application platform based on big data
CN112308340A (en) Power data processing method and device
Gan et al. IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop
CN111064277A (en) Marketing platform district line loss application platform based on big data
Ullah et al. Industrial Energy Management System: Design of a Conceptual Framework using IoT and Big Data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant