A power transformer substation and household relationship identification method, system, device and storage medium

Abstract

The application discloses a kind of electric power area house relation identification method, including obtaining the electric power use curve chart of user in electric power area by container cloud service model;Through cluster controller, the power information of user in electric power area is monitored;Node is set on each user in electric power area, and power information is identified in real time by node controller;When the electric power use in power information exceeds specified value, through the cooperation of storage module and frequency response module, the information of exceeding specified electric power value is responded.The application is monitored by setting the cooperation of storage module and frequency response module, and the information of exceeding specified electric power value is responded, so as to avoid the purpose of peak period, even in peak power consumption causes position confusion, it can be determined by analysis module, and the position corresponding to the storage information of recent time is called, so as to achieve the purpose of accurately distinguishing user information.

Description

Technical Field

[0001] This invention relates to the field of automated power distribution technology, and in particular to a method, system, device, and storage medium for identifying the relationship between power distribution area households and transformers. Background Technology

[0002] The relationship between power distribution transformers and their customers is fundamental to comprehensive power consumption information collection, line loss management, and post-load cutover power consumption information collection. Currently, most changes to user information in power distribution areas are implemented through backend data updates, which monitor location and power consumption. However, in actual use, due to the close proximity of adjacent users, electromagnetic interference often occurs during peak hours, easily causing simultaneous responses from node controllers of adjacent users, leading to confusion in location information. Summary of the Invention

[0003] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0004] In view of the problems existing in the above and / or existing methods for identifying the relationship between households and transformers in power distribution areas, this invention is proposed.

[0005] Therefore, the problem to be solved by this invention is how to accurately identify electricity users.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, embodiments of the present invention provide a method for identifying the relationship between a power distribution area and its customers, comprising,

[0008] A container cloud service model is established based on cloud computing and Internet information transmission technology components, and the power usage curve of users in the power distribution area is obtained through the container cloud service model.

[0009] By setting up a cluster controller in the container cloud service model, the electricity consumption information of users in the power distribution area is monitored. The cluster controller is divided into multiple groups of secondary cluster containers.

[0010] Nodes are set up at each user within the power distribution area, and power consumption information is identified in real time through node controllers;

[0011] When the electricity consumption information exceeds the specified value, the storage module and frequency response module work together to respond to the information that the electricity consumption exceeds the specified value.

[0012] As a preferred embodiment of the power distribution area user-transformer relationship identification method of the present invention, the cluster controller is provided with a cluster resource database, which includes the current user parameters in the power distribution area, cluster operating status, version, mirror repository domain name and port, current power consumption status of users in the power distribution area, and expected status.

[0013] As a preferred embodiment of the power distribution area household transformer relationship identification method of the present invention, the method for identifying electricity consumption information includes:

[0014] Electricity usage information is transmitted in real time to a container cloud service model.

[0015] The frequency response module responds to information exceeding the specified power value and generates response information.

[0016] The cluster controller transmits the response information to the parsing module. The parsing module corresponds the response information to the corresponding node controller, acts on the secondary cluster container corresponding to the node controller in real time, and forms real-time data in the storage module.

[0017] When two sets of information correspond to the same location node controller response, the most recent response information in the storage is output.

[0018] As a preferred embodiment of the power distribution area household transformer relationship identification method of the present invention, the node controller is wirelessly connected to the cluster controller, the node controller is provided with a positioning module, and the positioning module corresponds to the subdivided secondary cluster container.

[0019] As a preferred embodiment of the power distribution area household transformer relationship identification method of the present invention, the method for identifying electricity consumption information further includes:

[0020] The node controller transmits a single user's electricity consumption information to the container cloud server via wireless information transmission;

[0021] The cluster controller calls the corresponding secondary cluster container based on the location of the node controller, and forms a unique response database in the storage module based on the correspondence between user information and power consumption information in the secondary cluster container.

[0022] In a preferred embodiment of the power distribution area transformer relationship identification method of the present invention, the parsing module corresponds to the response information through the corresponding node controller, acts in real time on the secondary cluster container corresponding to the node controller, and forms real-time data in the storage module.

[0023] The parsing module includes data filtering settings;

[0024] When the parsing module encounters overlapping locations, the response database formed in the storage module is filtered through data filtering, and the most recent parsed location information is retrieved.

[0025] As a preferred embodiment of the power distribution area household-transformer relationship identification method of the present invention, wherein: the time interval of the frequency response module is divided according to the power consumption mode of the power distribution area, the time interval of the frequency response module does not exceed 6 hours, the frequency response module stipulates that the minimum value of the power value is greater than zero, and the maximum value of the power value is less than the average power consumption value of the users in the secondary cluster container.

[0026] Secondly, embodiments of the present invention provide a power distribution area transformer relationship identification system, which includes:

[0027] The cluster controller is used to monitor the electricity consumption information of users within the power distribution area, and it is divided into multiple secondary cluster containers.

[0028] The node controller is used to identify electricity consumption information in real time based on the nodes set on each user in the power distribution area. It includes a positioning module to map the node controller to the divided secondary cluster containers.

[0029] The frequency response module is used to respond to information that exceeds the specified power value and generate response information;

[0030] The parsing module is used to filter the response database formed in the storage module by data filtering when location overlap occurs, and to call the most recent parsed location information. Its secondary call is applied to the storage module.

[0031] The storage module is used to generate a response database based on the correspondence between user information and power consumption information in the secondary cluster container, and to accept calls from the parsing module for user information at the response location.

[0032] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any step of the above-described method.

[0033] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any step of the above-described method.

[0034] The beneficial effects of this invention are as follows: by setting up a storage module and a frequency response module in cooperation, the power consumption of all users is monitored at intervals, thereby avoiding peak periods. When peak power consumption causes location confusion, the parsing module determines the location and calls the location corresponding to the most recent stored information, thereby achieving the purpose of accurately distinguishing user information. Attached Figure Description

[0035] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0036] Figure 1 A flowchart illustrating the method for identifying the relationship between households and transformers in a power distribution area.

[0037] Figure 2 This is a schematic diagram of the structure of the power distribution area household-transformer relationship identification system. Detailed Implementation

[0038] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0039] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0040] 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 phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0041] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0042] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0043] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0044] Example 1

[0045] Reference Figure 1 and Figure 2 This is the first embodiment of the present invention, which provides a method for identifying the relationship between power distribution area households. By setting up a storage module and a frequency response module in cooperation, the power consumption of all users is monitored at intervals, thereby avoiding peak periods. The specific steps include:

[0046] S100: Establish a container cloud service model based on cloud computing and Internet information transmission technology components, and obtain the power usage curve of users in the power distribution area through the container cloud service model.

[0047] It should be noted that the model includes a cluster controller and a node controller, which are wirelessly connected. The cluster controller is used to monitor the electricity consumption information of users within the power distribution area and is internally divided into multiple groups of secondary cluster containers.

[0048] S200: Monitor the electricity consumption information of users in the power distribution area by setting up a cluster controller in the container cloud service model.

[0049] It should be noted that the cluster controller is equipped with a cluster resource database, which contains information on all users in the power distribution area and updates the background data in real time, including the current power distribution area user parameters, cluster running status, version, image repository domain name and port, current power consumption status of users in the power distribution area, and expected status.

[0050] S300: Nodes are set up at each user within the power distribution area, and the power consumption information is identified in real time through the node controller.

[0051] It should be noted that the node controller is equipped with a positioning module, which corresponds to the sub-cluster containers.

[0052] S400: When the power consumption in the power consumption information exceeds the specified value, the information exceeding the specified power consumption value is responded to through the cooperation of the storage module and the frequency response module.

[0053] Specifically, methods for identifying electricity consumption information in real time through node controllers include:

[0054] S401: Transmits electricity usage information to the container cloud service model in real time;

[0055] S402: The frequency response module responds to information exceeding the specified power value and generates response information;

[0056] S403: The response information is transmitted to the parsing module through the cluster controller. The parsing module corresponds to the response information through the corresponding node controller, acts on the secondary cluster container corresponding to the node controller in real time, and forms real-time data in the storage module.

[0057] S404: When two sets of information correspond to the same location node controller response, output the most recent response information in the storage.

[0058] It should be noted that the node controller transmits the electricity consumption information of a single user to the container cloud server via wireless information transmission. The cluster controller calls the corresponding secondary cluster container based on the location of the node controller, and forms a unique response database in the storage module based on the correspondence between the user information and the electricity consumption information in the secondary cluster container.

[0059] It should be noted that the time interval of the frequency response module is divided according to the power consumption mode of the power distribution area. In order to avoid peak power consumption periods and to accurately monitor users, the time interval of the frequency response does not exceed 6 hours. At the same time, in order to avoid the power consumption being too low, the power value is specified to be adjusted according to the actual power consumption mode and environment. The minimum power value is greater than zero, and the maximum value is less than the average power consumption value of users in the secondary cluster container.

[0060] It should be noted that the parsing module calls the user information of the response location, and the secondary call of the parsing module acts on the storage module; the parsing module is equipped with data filtering. When the parsing module has overlapping locations, it filters the response database formed in the storage module through data filtering and calls the most recent parsed location information.

[0061] It should be noted that the location information recorded in the storage module can only be the unique location information determined by the parsing module, and two sets of power consumption information cannot be recorded for the same location node at the same time period.

[0062] Furthermore, this embodiment also provides a power distribution area transformer relationship identification system, including:

[0063] Cluster controller 201 is used to monitor the electricity consumption information of users in the power distribution area, and it is divided into multiple secondary cluster containers 201a.

[0064] The node controller 202 is used to identify electricity consumption information in real time based on the nodes set on each user in the power distribution area. It includes a positioning module 202a, which is used to map the node controller 202 to the divided secondary cluster container 201a.

[0065] Frequency response module 203 is used to respond to information exceeding the specified power value and generate response information;

[0066] The parsing module 204 is used to filter the response database formed in the storage module 205 by data filtering when location overlap occurs, and call the most recent parsed location information. Its secondary call is applied to the storage module 205.

[0067] The storage module 205 is used to generate a response database based on the correspondence between user information and power consumption information in the secondary cluster container 201a, and to accept the call from the parsing module 204 for user information at the response location.

[0068] This embodiment also provides a computer device applicable to the method of identifying the relationship between power distribution transformers and households, including:

[0069] The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement the power distribution area household-transformer relationship identification method proposed in the above embodiments.

[0070] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0071] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the method for identifying the relationship between power distribution area households as proposed in the above embodiments.

[0072] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0073] Example 2

[0074] Reference Figure 1 and Figure 2 This is the second embodiment of the present invention, which provides a method for identifying the relationship between a power distribution area and a transformer substation.

[0075] Frequent changes in power grid construction and development in recent years (such as relocation, expansion, cutover, and site deployment), coupled with an increase in the number of electricity users and changes in customer addresses, have led to alterations in the relationships between customer substations and their assigned transformers. Due to limitations such as line crossings and underground wiring, the affiliation information between customer meters and transformers is difficult to update in a timely manner, affecting the accuracy of basic power grid data. Therefore, a method to identify specific user information is needed.

[0076] To verify the beneficial effects of the present invention, a comparative experiment of 50 groups of adjacent users in a certain district of Kunming City was selected as the verification.

[0077] Table 1 Comparison of error rates in identifying household-transfer relationships

[0078] Recognition error rate Peak electricity consumption Off-peak electricity Tradition 20％ 5％ Configure storage module 1％ 0.1％ Storage module limits response time interval 0.2％ 0％

[0079] As shown in the table, after the power distribution area user-transformer relationship identification method provided by this invention is applied, by setting a unique response in the storage module, it identifies 50 groups of adjacent users within the distribution area. The peak power consumption error rate is 1%, and the off-peak power consumption error rate is 0.1%. Furthermore, by limiting the response time interval, the accuracy of the response is further improved, and the peak power consumption error rate for identifying 50 groups of adjacent users within the distribution area is 0.2%, and the off-peak power consumption error rate is 0%. As a comparative example, before the application of the method of this invention, the results of identifying 50 groups of adjacent users within the distribution area were: a peak power consumption error rate of 20% and an off-peak power consumption error rate of 5%.

[0080] In summary, by combining the storage module and the frequency response module, the power consumption of all users can be monitored at intervals, and information exceeding the specified power value can be responded to, thereby avoiding peak periods. Even when peak power consumption causes location confusion, the parsing module can determine the location and call the location corresponding to the most recent stored information, thereby accurately identifying user information, greatly improving efficiency and avoiding the shortcomings of the traditional mode that still requires human intervention.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for identifying the relationship between a household and a transformer in a power distribution area, characterized in that: include, A container cloud service model is established based on cloud computing and Internet information transmission technology components, and the power usage curve of users in the power distribution area is obtained through the container cloud service model. By setting up a cluster controller in the container cloud service model, the electricity consumption information of users in the power distribution area is monitored. The cluster controller is divided into multiple groups of secondary cluster containers. Nodes are set up at each user within the power distribution area, and electricity consumption information is identified in real time through node controllers; The method for identifying electricity consumption information also includes The node controller transmits a single user's electricity consumption information to the container cloud server via wireless information transmission; The cluster controller calls the corresponding secondary cluster container based on the location of the node controller, and forms a unique response database in the storage module based on the correspondence between user information and power consumption information in the secondary cluster container. When the electricity consumption in the electricity consumption information exceeds the specified value, the information exceeding the specified electricity consumption value is responded to through the cooperation of the storage module and the frequency response module; The parsing module corresponds to the response information through the corresponding node controller, acts in real time on the secondary cluster containers corresponding to the node controller, and forms real-time data in the storage module, including... The parsing module includes data filtering settings; When the parsing module has overlapping locations, the response database formed in the storage module is filtered by data filtering, and the most recent parsed location information is retrieved. The time interval of the frequency response module is divided according to the power consumption mode of the power distribution area. The time interval of the frequency response module shall not exceed 6 hours. The frequency response module stipulates that the minimum power value is greater than zero and the maximum power value is less than the average power consumption value of users in the secondary cluster container.

2. The method for identifying the relationship between a power distribution area and its customers as described in claim 1, characterized in that: The cluster controller is equipped with a cluster resource database and updates the background data in real time. The cluster resource database includes the current user parameters in the power distribution area of ​​the cluster, the cluster running status, version, image repository domain name and port, the current power consumption status of users in the power distribution area, and the expected status.

3. The method for identifying the relationship between a power distribution area and its customers as described in claim 2, characterized in that: The method for identifying electricity consumption information includes... Electricity usage information is transmitted in real time to a container cloud service model. The frequency response module responds to information exceeding the specified power value and generates response information. The cluster controller transmits the response information to the parsing module. The parsing module corresponds the response information to the corresponding node controller, acts on the secondary cluster container corresponding to the node controller in real time, and forms real-time data in the storage module. When two sets of information correspond to the same location node controller response, the most recent response information in the storage is output.

4. The method for identifying the relationship between a power distribution area and its customers as described in claim 3, characterized in that: The node controller is wirelessly connected to the cluster controller. The node controller is equipped with a positioning module, which corresponds to the sub-cluster container.

5. A power distribution area transformer-household relationship identification system, based on the power distribution area transformer-household relationship identification method according to any one of claims 1 to 4, characterized in that: include, The cluster controller is used to monitor the electricity consumption information of users within the power distribution area, and it is divided into multiple secondary cluster containers. The node controller is used to identify electricity consumption information in real time based on the nodes set on each user in the power distribution area. It includes a positioning module to map the node controller to the divided secondary cluster containers. The frequency response module is used to respond to information that exceeds the specified power value and generate response information; The parsing module is used to filter the response database formed in the storage module by data filtering when location overlap occurs, and to call the most recent parsed location information. Its secondary call is applied to the storage module. The storage module is used to generate a response database based on the correspondence between user information and power consumption information in the secondary cluster container, and to accept calls from the parsing module for user information at the response location.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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