Distributed multi-stage energy data management method

Abstract

The invention discloses a multi-stage energy data management method based on distribution, and the method comprises the steps: obtaining various electric power data of an electric power system, and recognizing a service point in the electric power system; service points in the power system are analyzed according to the power data, and the service types of the service points in the power system are determined; and defining a service point to obtain a constraint condition which needs to be followed by an energy data center of the power system, and performing linearization processing on the constraint condition to obtain the data execution rule. According to the method, through the centralized energy data center, the management efficiency and the analysis capability of energy data are improved, the digital transformation of the energy industry is promoted, the upgrading and innovative development of the industry are promoted, the availability of the energy data is enhanced through data sharing and circulation, the value of energy big data is fully released, and the method is suitable for popularization and application. And through real-time monitoring and early warning, the safety and stability of energy supply are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-level energy data management, and in particular to a distributed multi-level energy data management method. Background Art

[0002] As electricity consumption continues to rise, the volume of power energy data has also surged. In order to effectively meet this challenge, it is particularly important to establish a data center to manage these growing power energy data. It is also worth noting that data centers will continue to consume power resources during operation and generate corresponding power data. These newly generated data also need to be effectively managed by the data center, further increasing the complexity of data management.

[0003] Traditional solutions usually rely on a single data center to centrally manage all energy data. This approach may be effective when the amount of energy data is small and the source is relatively single. However, in today's context of rich and diverse energy data, this centralized management method has become inadequate and difficult to meet the growing data management needs. Therefore, a more advanced and efficient energy data management method is urgently needed. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a distributed multi-level energy data management method, which can solve the problem that traditional solutions usually rely on a single data center to centrally manage all energy data.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions, based on a distributed multi-level energy data management method, including:

[0007] Acquire various power data of the power system and identify service points in the power system;

[0008] Analyzing the service points in the power system according to the power data to determine the service types of the service points in the power system;

[0009] By defining the service points, the constraints that the energy data center of the power system needs to follow are obtained, and the constraints are linearized to obtain the data execution rules.

[0010] As a preferred solution of the distributed multi-level energy data management method described in the present invention, the service points include substations, distribution rooms, and switch stations.

[0011] As a preferred solution of the distributed multi-level energy data management method described in the present invention, the service types include power distribution, power transformation and control of current flow.

[0012] As a preferred solution of the distributed multi-level energy data management method described in the present invention, the power data includes power grid operation data, power consumption data, equipment status, and user needs.

[0013] As a preferred solution of the distributed multi-level energy data management method described in the present invention, the analysis of the service points in the power system includes separating the substation from the business point for independent management and control.

[0014] As a preferred solution of the distributed multi-level energy data management method described in the present invention, the power grid operation data includes voltage, current, power frequency parameters; the power grid consumption data includes power load in different time periods and power consumption at different times.

[0015] As a preferred solution of the distributed multi-level energy data management method described in the present invention, wherein: the constraint conditions that the energy data center of the power system needs to follow are obtained by defining the service points, including obtaining the basic business process by setting the basic process of business processing that the energy data center needs to perform, wherein the basic process includes the collection, processing, storage and distribution of data of the power system data center;

[0016] Constructing an initial energy data center of the power system according to the data execution rules and basic business processes;

[0017] A multi-level management system of the initial energy data center is obtained, and distributed initial energy data is added to the multi-level management system in a distributed manner to obtain a distributed multi-level energy data center.

[0018] As a preferred solution of the distributed multi-level energy data management method described in the present invention, the data execution rules include: building a new energy construction and operation monitoring system through real-time data collection technology of the Internet of Things, aggregating and analyzing the data on new energy planning and development and power generation operation based on power monitoring data, and outputting a new energy regional distribution map at the same time.

[0019] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of a distributed multi-level energy data management method are implemented.

[0020] A computer-readable storage medium stores a computer program thereon, characterized in that when the computer program is executed by a processor, the steps of a distributed multi-level energy data management method are implemented.

[0021] Beneficial effects of the invention: The method of the invention improves the management efficiency and analysis capabilities of energy data through a centralized energy data center, promotes the digital transformation of the energy industry, and promotes the upgrading and innovative development of the industry. Through data sharing and circulation, the availability of energy data is enhanced, and the value of energy big data is fully released. Through real-time monitoring and early warning, the security and stability of energy supply are improved, the security and compliance of the system when processing sensitive data are ensured, and legal and security risks are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0023] Figure 1 A schematic flow chart of a distributed multi-level energy data management method provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0025] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0026] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0027] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0028] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0029] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0030] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a distributed multi-level energy data management method, including:

[0031] S1: Acquire various power data of the power system and identify the service points in the power system.

[0032] S2: Analyze the service points in the power system according to the power data to determine the service types of the service points in the power system.

[0033] S3: By defining the service points, the constraints that the energy data center of the power system needs to follow are obtained, and the constraints are linearized to obtain the data execution rules.

[0034] The service points include substations, distribution rooms, and switch stations.

[0035] The service types include power distribution, power transformation and controlling the flow of electric current.

[0036] The power data includes power grid operation data, power consumption data, equipment status, and user needs.

[0037] The analysis of the service points in the power system includes separating the substation from the service points and independently managing and controlling them.

[0038] The grid operation data includes voltage, current, power frequency parameters; the grid consumption data includes power load in different time periods and power consumption at different times.

[0039] The constraint conditions that the energy data center of the power system needs to follow are obtained by defining the service points, including obtaining the basic business process by setting the basic process of business processing that the energy data center needs to perform, wherein the basic process includes the collection, processing, storage and distribution of data of the power system data center;

[0040] Constructing an initial energy data center of the power system according to the data execution rules and basic business processes;

[0041] A multi-level management system of the initial energy data center is obtained, and distributed initial energy data is added to the multi-level management system in a distributed manner to obtain a distributed multi-level energy data center.

[0042] The data execution rules include building a new energy construction and operation monitoring system through real-time data collection technology of the Internet of Things, aggregating and analyzing data on new energy planning and development and power generation operation based on power monitoring data, and outputting a new energy regional distribution map.

[0043] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0044] Example 2

[0045] The second embodiment of the present invention is different from the previous embodiment in that:

[0046] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0047] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0048] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0049] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0050] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0051] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A distributed multi-level energy data management method, characterized in that: include, Acquire various power data of the power system and identify service points in the power system; Analyzing the service points in the power system according to the power data to determine the service types of the service points in the power system; By defining the service points, the constraints that the energy data center of the power system needs to follow are obtained, and the constraints are linearized to obtain the data execution rules.

2. The distributed multi-level energy data management method according to claim 1, characterized in that: The service points include substations, distribution rooms, and switch stations.

3. The distributed multi-level energy data management method according to claim 2, characterized in that: The service types include power distribution, power transformation and controlling the flow of electric current.

4. The distributed multi-level energy data management method according to claim 3, characterized in that: The power data includes power grid operation data, power consumption data, equipment status, and user needs.

5. The distributed multi-level energy data management method according to claim 4, characterized in that: The analysis of the service points in the power system includes separating the substation from the service points and independently managing and controlling them.

6. The distributed multi-level energy data management method according to claim 5, characterized in that: The grid operation data includes voltage, current, power frequency parameters; the grid consumption data includes power load in different time periods and power consumption at different times.

7. The distributed multi-level energy data management method according to claim 6, characterized in that: The constraint conditions that the energy data center of the power system needs to follow are obtained by defining the service points, including obtaining the basic business process by setting the basic process of business processing that the energy data center needs to perform, wherein the basic process includes the collection, processing, storage and distribution of data of the power system data center; Constructing an initial energy data center of the power system according to the data execution rules and basic business processes; A multi-level management system of the initial energy data center is obtained, and distributed initial energy data is added to the multi-level management system in a distributed manner to obtain a distributed multi-level energy data center.

8. The distributed multi-level energy data management method according to claim 7, characterized in that: The data execution rules include building a new energy construction and operation monitoring system through real-time data collection technology of the Internet of Things, aggregating and analyzing data on new energy planning and development and power generation operation based on power monitoring data, and outputting a new energy regional distribution map.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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