Multi-area demand electric charge superposition management system based on artificial intelligence

Abstract

The invention provides a multi-area demand electric charge superposition management system based on artificial intelligence, and belongs to the technical field of electric charge management. Comprising an ammeter information management module which is established based on a processor and is responsible for recording and managing basic information of an ammeter, the basic information comprises an ammeter number, a user name, an installation address and an ammeter type, and the ammeter information management module supports addition, deletion, modification and check operations of information and provides searching and screening functions, so that a user can quickly find required information; the system comprises a data acquisition module, a demand electricity charge calculation module, a multi-region superposition management module, a charging management module and a data analysis and visualization module. According to the system, automatic collection, calculation, analysis and storage of electricity charge data and superposition management of demand electricity charges of multiple areas are achieved, the system adopts a modular design, good coupling is kept between the modules, the stability and expandability of the system are ensured, the system can be widely applied to electricity charge management of power enterprises, and the system has a wide application prospect. The efficiency and accuracy of electricity charge management are improved, and the service quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity charge management, and particularly relates to a multi-region demand electricity charge superposition management system based on artificial intelligence. Background Art

[0002] With the continuous growth of power demand in modern society, the power industry faces many challenges. On the one hand, it is difficult to meet the electricity demand during peak load periods, while there is a large amount of electricity waste during low load periods. On the other hand, the access of new energy and the rise of distributed power sources have made the power system more complex and diverse, and the traditional electricity charge management method has been difficult to adapt to this change. To solve the above problems, power grid companies have begun to implement electricity charge management systems such as time-of-use electricity prices and "two-part electricity prices". Among them, the "two-part electricity price" is a special electricity price mechanism for large industrial users, which charges according to the maximum demand of the user's electricity load. This system aims to guide power users to actively participate in power load regulation, cut peaks and fill valleys, and improve the stability and efficiency of the power system.

[0003] However, in actual operation, multi-region demand electricity charge management faces many complexities. Factors such as power demand, electricity consumption habits, and industrial structures in different regions are different, resulting in difficult unified electricity charge management. At the same time, the traditional electricity charge management method often relies on manual statistics and calculations, with low efficiency and easy errors. Furthermore, the traditional electricity charge management mode has problems such as low data processing efficiency, untimely information update, and weak data analysis ability, and can no longer meet the needs of modern power enterprise management. Therefore, this application provides a multi-region demand electricity charge superposition management system based on artificial intelligence to meet the needs. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a multi-region demand electricity charge superposition management system based on artificial intelligence to solve the problems of low data processing efficiency, untimely information update, and weak data analysis ability existing in the existing electricity charge management mode.

[0005] To solve the above technical problems, the present invention provides the following technical solutions:

[0006] A multi-region demand electricity charge superposition management system based on artificial intelligence, including established based on a processor:

[0007] An electricity meter information management module, responsible for recording and managing the basic information of the electricity meter, including the electricity meter number, user name, installation address, and electricity meter type. The electricity meter information management module supports operations of adding, deleting, modifying, and querying information, and provides search and filtering functions to enable users to quickly find the required information;

[0008] The demand electricity charge calculation module calculates the demand electricity charges for each area based on the user's electricity demand and the electricity meter readings. The demand electricity charge calculation module supports the setting of multiple electricity charge packages and can automatically calculate the electricity charges according to different time periods and electricity consumption;

[0009] The multi-area superposition management module is used to handle the problem of superposition calculation of electricity charges for multi-area users. The multi-area superposition management module can automatically identify the electricity meter data of different areas and calculate the total electricity charge according to the superposition rules set by the user;

[0010] The charging management module is responsible for handling the user's electricity charge payment and query requirements. The charging management module supports functions such as online payment and payment record query, which is convenient for users to understand their payment situation at any time;

[0011] The data analysis and visualization module is responsible for in-depth analysis and visual display of the electricity meter data. The data analysis and visualization module can generate data statistical reports and analysis charts to help managers understand the user's electricity consumption situation and electricity charge trends.

[0012] Preferably, the electricity meter information management module includes:

[0013] The electricity meter basic information entry sub-module: used to enter the basic attributes of the electricity meter, including model, rated power, and installation location;

[0014] The electricity meter information query sub-module: supports querying according to the electricity meter number and user name conditions, and displays the basic information and historical data of the electricity meter;

[0015] The electricity meter information update sub-module: allows users to modify and update the electricity meter information to ensure the accuracy and timeliness of the information.

[0016] Preferably, the electricity meter information management module also includes:

[0017] The data entry unit: responsible for receiving the electricity meter information input by the user and performing preliminary verification;

[0018] The data storage unit: stores the verified electricity meter information in the database;

[0019] The data query unit: retrieves and returns relevant information from the database according to the query conditions input by the user.

[0020] Preferably, the demand electricity charge calculation module includes:

[0021] The package information setting sub-module: used to set and manage various electricity charge packages, including package name, charging standard, and preferential strategy;

[0022] The demand electricity charge calculation sub-module: automatically calculates the demand electricity charges for each area according to the electricity meter readings and package information;

[0023] Electricity bill generation sub-module: Presents the calculated electricity bill to the user in electronic or paper form.

[0024] Preferably, the demand electricity charge calculation module further includes:

[0025] Package configuration unit: Responsible for receiving and storing the electricity bill package information set by the user;

[0026] Electricity charge calculation unit: Calculates the demand electricity charge for each area according to the electricity meter reading and package configuration;

[0027] Bill generation unit: Formats and outputs the calculated electricity bill to the user.

[0028] Preferably, the multi-area superposition management module includes:

[0029] Area identification and division sub-module: Automatically identifies the area to which the electricity meter data belongs and divides it according to the rules set by the user;

[0030] Superposition rule setting sub-module: Allows the user to set the superposition rules for electricity charges in different areas, including proportional superposition and fixed amount superposition;

[0031] Total electricity charge calculation sub-module: Calculates the total electricity charge of the user according to the area identification result and superposition rule.

[0032] Preferably, the multi-area superposition management module further includes:

[0033] Area identification unit: Responsible for identifying the area to which the electricity meter data belongs;

[0034] Superposition rule configuration unit: Stores the superposition rules set by the user;

[0035] Total electricity charge calculation unit: Calculates the total electricity charge according to the area identification result and superposition rule.

[0036] Preferably, the charging management module includes:

[0037] Online payment sub-module: Supports the user to directly pay the electricity bill through the system;

[0038] Payment record query sub-module: Allows the user to query their own payment records, including payment time and payment amount;

[0039] Overdue reminder sub-module: When the user's electricity bill balance is insufficient, the system automatically sends an overdue reminder message to the user;

[0040] It further includes:

[0041] Payment processing unit: Responsible for receiving the user's payment request and processing the payment process;

[0042] Payment record storage unit: Store the user's payment records in the database.

[0043] Preferably, the data analysis and visualization module includes:

[0044] Data statistical analysis sub-module: Conduct statistical analysis on the electricity meter data to generate data statistical reports and analysis charts;

[0045] Abnormality detection and warning sub-module: Automatically identify abnormal situations in the electricity meter data and send warning messages to the management personnel;

[0046] Visualization display sub-module: Present the statistical reports and analysis charts to users and management personnel in an intuitive form.

[0047] Preferably, the data analysis and visualization module further includes:

[0048] Data statistics unit: Responsible for receiving electricity meter data and conducting statistical analysis and processing;

[0049] Abnormality detection unit: Automatically identify abnormal situations in the electricity meter data;

[0050] Visualization display unit: Display the statistical results and analysis charts in the form of charts, etc.

[0051] Compared with the prior art, the present invention has at least the following beneficial effects:

[0052] The multi-region demand electricity fee superposition management system based on artificial intelligence integrates function modules such as basic electricity meter information, package information setting, meter reading entry, and charge entry, realizes the automatic collection, calculation, analysis, and storage of electricity fee data, as well as the superposition management of multi-region demand electricity fees. The system adopts a modular design, and there is good coupling between modules, ensuring the stability and scalability of the system. It can be widely applied to the electricity fee management of power enterprises, improve the efficiency and accuracy of electricity fee management, optimize business processes, and enhance service quality. At the same time, the multi-region demand electricity fee superposition management system based on artificial intelligence can also provide data support and decision-making basis for power enterprises, help power enterprises better understand the electricity consumption situation and electricity fee trends of users, formulate reasonable electricity fee policies and marketing strategies, has high practical value and promotion prospects, and can provide strong support for the electricity fee management of power enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings incorporated herein and constituting a part of the specification illustrate embodiments of the present invention and, together with the specification, are further used to explain the principles of the present invention and enable those skilled in the relevant art to implement and use the present invention.

[0054] Figure 1Block diagram of a multi - region demand electricity charge superposition management system based on artificial intelligence;

[0055] Figure 2 Block diagram of the electricity meter information management module;

[0056] Figure 3 Block diagram of the demand electricity charge calculation module;

[0057] Figure 4 Block diagram of the multi - region superposition management module;

[0058] Figure 5 Block diagram of the charging management module;

[0059] Figure 6 Block diagram of the data analysis and visualization module.

[0060] As shown in the figure, in order to clearly implement the structure of the embodiments of the present invention, specific structures and devices are marked in the figure, but this is only for schematic needs and is not intended to limit the present invention to this specific structure, device and environment. According to specific needs, those of ordinary skill in the art can adjust or modify these devices and environments. Detailed implementation manners

[0061] The following describes in detail a multi - region demand electricity charge superposition management system based on artificial intelligence provided by the present invention in combination with the accompanying drawings and specific embodiments. At the same time, it should be noted here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments. For some well - known technologies, those skilled in the art can also adopt other alternative ways for implementation; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0062] It should be pointed out that in the specification, references to "an embodiment", "embodiment", "exemplary embodiment", "some embodiments", etc. indicate that the described embodiments may include specific features, structures or characteristics, but not necessarily every embodiment includes such specific features, structures or characteristics. Additionally, when combining embodiments to describe specific features, structures or characteristics, implementing such features, structures or characteristics in combination with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the relevant art.

[0063] Generally, terms can be understood at least in part from their use in context. For example, depending at least in part on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey a set of exclusive factors, but rather can alternatively, depending at least in part on the context, allow for the existence of other factors that are not necessarily explicitly described.

[0064] It can be understood that the meanings of "on", "above", and "over" in the present invention should be construed in the broadest manner such that "on" not only means "directly on" something, but also includes the meaning of being "on" something with intervening features or layers therebetween, and "above" or "over" not only means "above" or "over" something, but also can include the meaning of being "above" or "over" something with no intervening features or layers therebetween.

[0065] In addition, spatial relative terms such as "under", "below", "lower", "above", "upper", etc. can be used herein for convenience of description to describe the relationship of one element or feature to another or other elements or features, as shown in the drawings. The spatial relative terms are intended to cover different orientations in the use or operation of the device in addition to the orientation depicted in the drawings. The device can be oriented in other ways, and the spatial relative descriptive terms used herein can be correspondingly interpreted similarly.

[0066] As Figures 1 to 6 shown, an embodiment of the present invention provides an artificial intelligence-based multi-region demand electricity charge superposition management system, including established based on a processor:

[0067] An electricity meter information management module, responsible for recording and managing the basic information of the electricity meter, including the electricity meter number, user name, installation address, electricity meter type, and the electricity meter information management module supports operations of adding, deleting, modifying, and querying information, and provides search and filtering functions, enabling users to quickly find the required information;

[0068] A demand electricity charge calculation module, which calculates the demand electricity charges for each region according to the user's electricity consumption demand and the electricity meter reading, and the demand electricity charge calculation module supports setting of multiple electricity charge packages, and can automatically calculate the electricity charges according to different time periods and different electricity consumption amounts;

[0069] A multi-region superposition management module, used to handle the problem of superposition calculation of electricity charges for multi-region users, and the multi-region superposition management module can automatically identify the electricity meter data of different regions, and calculate the total electricity charge according to the superposition rules set by the user;

[0070] The charging management module is responsible for handling users' electricity bill payment and query requirements. The charging management module supports functions such as online payment and payment record query, facilitating users to understand their payment status at any time;

[0071] The data analysis and visualization module is responsible for in-depth analysis and visual display of electricity meter data. The data analysis and visualization module can generate data statistical reports and analysis charts to help management personnel understand users' electricity consumption and electricity bill trends.

[0072] As a preferred implementation manner of this embodiment, the electricity meter information management module includes:

[0073] The electricity meter basic information entry sub-module: used to enter the basic attributes of the electricity meter, including model, rated power, and installation location;

[0074] The electricity meter information query sub-module: supports querying according to conditions such as electricity meter number and user name, and displays the basic information and historical data of the electricity meter;

[0075] The electricity meter information update sub-module: allows users to modify and update electricity meter information to ensure the accuracy and timeliness of the information.

[0076] Furthermore, the electricity meter information management module also includes:

[0077] The data entry unit: responsible for receiving the electricity meter information input by the user and performing preliminary verification;

[0078] The data storage unit: stores the verified electricity meter information in the database;

[0079] The data query unit: retrieves and returns relevant information from the database according to the query conditions input by the user.

[0080] As a preferred implementation manner of this embodiment, the demand electricity bill calculation module includes:

[0081] The package information setting sub-module: used to set and manage various electricity bill packages, including package name, billing standard, and preferential strategy;

[0082] The demand electricity bill calculation sub-module: automatically calculates the demand electricity bill for each region according to the electricity meter reading and package information;

[0083] The electricity bill statement generation sub-module: presents the calculated electricity bill statement to the user in electronic or paper form.

[0084] Furthermore, the demand electricity bill calculation module also includes:

[0085] The package configuration unit: responsible for receiving and storing the electricity bill package information set by the user;

[0086] Electricity charge calculation unit: Calculate the demand electricity charge for each area according to the electricity meter reading and package configuration;

[0087] Bill generation unit: Format the calculated electricity bill and output it to the user.

[0088] As a preferred implementation manner of this embodiment, the multi - area superposition management module includes:

[0089] Area identification and division sub - module: Automatically identify the area to which the electricity meter data belongs and divide it according to the rules set by the user;

[0090] Superposition rule setting sub - module: Allow the user to set the superposition rules for electricity charges in different areas, including superposition by proportion and superposition by fixed amount;

[0091] Total electricity charge calculation sub - module: Calculate the total electricity charge of the user according to the area identification result and superposition rules.

[0092] Furthermore, the multi - area superposition management module further includes:

[0093] Area identification unit: Responsible for identifying the area to which the electricity meter data belongs;

[0094] Superposition rule configuration unit: Store the superposition rules set by the user;

[0095] Total electricity charge calculation unit: Calculate the total electricity charge according to the area identification result and superposition rules.

[0096] As a preferred implementation manner of this embodiment, the charging management module includes:

[0097] Online payment sub - module: Support the user to directly pay the electricity bill through the system;

[0098] Payment record query sub - module: Allow the user to query their own payment records, including payment time and payment amount;

[0099] Overdue reminder sub - module: When the user's electricity bill balance is insufficient, the system automatically sends an overdue reminder message to the user;

[0100] It also includes:

[0101] Payment processing unit: Responsible for receiving the user's payment request and processing the payment process;

[0102] Payment record storage unit: Store the user's payment records in the database.

[0103] As a preferred implementation manner of this embodiment, the data analysis and visualization module includes:

[0104] Data statistics and analysis sub - module: Conduct statistical analysis on the electricity meter data and generate data statistical reports and analysis charts;

[0105] Anomaly Detection and Warning Sub-module: Automatically identify anomalies in the electricity meter data and send warning messages to the management personnel;

[0106] Visualization Display Sub-module: Present statistical reports and analysis charts to users and management personnel in an intuitive form.

[0107] Furthermore, the data analysis and visualization module also includes:

[0108] Data Statistics Unit: Responsible for receiving electricity meter data and performing statistical analysis and processing;

[0109] Anomaly Detection Unit: Automatically identify anomalies in the electricity meter data;

[0110] Visualization Display Unit: Display the statistical results and analysis charts in the form of charts, etc.

[0111] In a further embodiment,

[0112] This system is equipped with smart electricity meters for real-time collection of users' electricity consumption data and transmission of the data to the data collector; the data collector is responsible for receiving the data transmitted by the smart electricity meters, performing preliminary processing and storage; the processor, as the core device of the system, is responsible for storing, processing, and analyzing the electricity meter data. The processor uses high-performance computing and storage devices to ensure the stability and efficiency of the system. At the same time, the processor also has data backup and recovery functions to ensure data security; client devices, including PC terminals and mobile devices, are used for users and management personnel to access the system interface for operations such as electricity meter information query, electricity bill payment, and data analysis.

[0113] This system adopts a B / S architecture. HTML, CSS, and JavaScript are used for page layout and interaction design in the front end, and the Java language is used for development in the back end. MySQL is selected as the database to ensure data security and stability. The Spring Boot framework is used for back-end development, taking advantage of its powerful dependency injection and AOP features; MyBatis is used as the persistence layer framework to handle database operations; Vue.js or React framework is used in the front end to improve the user experience. This system designs the database table structure according to functional requirements, including user information tables, electricity meter information tables, electricity bill tables, payment record tables, etc. At the same time, data backup and recovery strategies are adopted to ensure data security.

[0114] The AI-based multi-region demand electricity charge superposition management system integrates function modules such as basic electricity meter information, package information setting, meter reading entry, and charge entry, realizing automatic collection, calculation, analysis, and storage of electricity charge data, as well as superposition management of multi-region demand electricity charges. The system adopts a modular design, with good coupling between modules, ensuring system stability and scalability. It can be widely applied to the electricity charge management of power enterprises, improving the efficiency and accuracy of electricity charge management, optimizing business processes, and enhancing service quality. At the same time, the AI-based multi-region demand electricity charge superposition management system can also provide data support and decision-making basis for power enterprises, helping power enterprises better understand users' electricity consumption situations and electricity charge trends, formulating reasonable electricity charge policies and marketing strategies, having high practical value and promotion prospects, and being able to provide strong support for the electricity charge management of power enterprises.

[0115] This invention covers any substitutions, modifications, equivalent methods, and solutions made within the essence and scope of this invention. To enable the public to have a thorough understanding of this invention, specific details are elaborated in the following preferred embodiments of this invention. However, those skilled in the art can fully understand this invention even without the description of these details. Additionally, well-known methods, processes, procedures, components, and circuits are not described in detail to avoid unnecessary confusion to the essence of this invention.

[0116] The above are only the preferred embodiments of this invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of this invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of this invention.

Claims

1. A multi-region demand electricity fee superposition management system based on artificial intelligence, characterized in that: include: Processor-based: The meter information management module is responsible for recording and managing the basic information of the meter, including the meter number, user name, installation address, and meter type. The meter information management module supports the addition, deletion, modification, and query of information, and provides search and filtering functions to enable users to quickly find the required information; The demand electricity fee calculation module calculates the demand electricity fee for each area based on the user's electricity demand and meter readings. The demand electricity fee calculation module supports multiple electricity fee package settings and can automatically calculate electricity fees according to different time periods and electricity consumption; The multi-region overlay management module is used to handle the problem of overlay calculation of electricity charges for users in multiple regions. The multi-region overlay management module can automatically identify the meter data in different regions and calculate the total electricity charge according to the overlay rules set by the user; The charging management module is responsible for handling the user's electricity bill payment and inquiry needs. The charging management module supports online payment, payment record inquiry and other functions, so that users can understand their payment status at any time; The data analysis and visualization module is responsible for in-depth analysis and visualization of meter data. The data analysis and visualization module can generate data statistical reports and analysis charts to help managers understand users' electricity usage and electricity bill trends.

2. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 1 is characterized in that: The meter information management module includes: Electric meter basic information entry submodule: used to enter the basic properties of the electric meter, including model, rated power, and installation location; Electric meter information query submodule: supports query based on the conditions of electric meter number and user name, and displays the basic information and historical data of the electric meter; Electric meter information update submodule: allows users to modify and update electric meter information to ensure the accuracy and timeliness of the information.

3. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 2 is characterized in that: The meter information management module also includes: Data entry unit: responsible for receiving the meter information input by the user and performing preliminary verification; Data storage unit: stores the verified electric meter information in the database; Data query unit: retrieves and returns relevant information from the database based on the query conditions entered by the user.

4. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 1 is characterized in that: The demand charge calculation module includes: Package information setting submodule: used to set and manage various electricity fee packages, including package name, billing standards, and preferential policies; Demand electricity fee calculation submodule: automatically calculates the demand electricity fee for each area based on the meter reading and package information; Electricity bill generation submodule: presents the calculated electricity bill to the user in electronic or paper form.

5. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 4 is characterized in that: The demand charge calculation module also includes: Package configuration unit: responsible for receiving and storing the electricity package information set by the user; Electricity fee calculation unit: Calculates the demand electricity fee for each area based on the meter reading and package configuration; Bill generation unit: formats the calculated electricity bill and outputs it to the user.

6. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 1 is characterized in that: The multi-area overlay management module includes: Area identification and division submodule: automatically identifies the area to which the meter data belongs and divides it according to the rules set by the user; Overlay rule setting submodule: allows users to set overlay rules for electricity charges in different areas, including overlay by proportion and overlay by fixed amount; Total electricity bill calculation submodule: calculates the user's total electricity bill based on the area identification results and superposition rules.

7. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 6 is characterized in that: The multi-area overlay management module also includes: Area identification unit: responsible for identifying the area to which the meter data belongs; Overlay rule configuration unit: stores the overlay rules set by the user; Total electricity cost calculation unit: calculates the total electricity cost according to the area recognition result and superposition rules.

8. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 1 is characterized in that: The fee management module includes: Online payment submodule: supports users to pay electricity bills directly through the system; Payment record query submodule: allows users to query their payment records, including payment time and payment amount; Arrears reminder submodule: When the user's electricity balance is insufficient, the system automatically sends an arrears reminder message to the user; Also includes: Payment processing unit: responsible for receiving payment requests from users and processing payment procedures; Payment record storage unit: stores the user's payment record in the database.

9. The multi-region demand electricity fee superposition management system based on artificial intelligence according to claim 1 is characterized in that: Data analysis and visualization modules include: Data statistical analysis submodule: performs statistical analysis on meter data and generates data statistical reports and analysis charts; Abnormal detection and early warning submodule: automatically identifies abnormal conditions in meter data and sends early warning information to management personnel; Visual display submodule: presents statistical reports and analysis charts to users and managers in an intuitive form.

10. The artificial intelligence-based multi-region demand electricity fee superposition management system according to claim 9, characterized in that: The data analysis and visualization module also includes: Data statistics unit: responsible for receiving meter data and performing statistical analysis and processing; Anomaly detection unit: automatically identifies anomalies in meter data; Visual display unit: displays statistical results and analysis charts in the form of charts, etc.

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