Wind power asset coding method and system

Abstract

The embodiment of the invention provides a wind power asset coding method and system, and the method comprises the steps: collecting the basic data of a wind power plant and a wind turbine generator through an SCADA system, GIS equipment, a wind turbine generator manufacturer database and a historical database, and enabling the basic data to comprise wind power group information, wind power plant information, wind turbine generator information and electrical equipment information; based on the collected basic data of the wind power plant and the wind turbine generator, generating a unique code corresponding to the basic data by adopting a mathematical transformation method, and obtaining coded wind power asset data; and storing the coded wind power asset data into a database according to a hierarchical storage structure, wherein the hierarchical storage structure comprises a group and molecular company table, a wind power station table, a wind turbine generator table and an electrical equipment state table. According to the invention, the digital management of the wind power assets is realized, and the uniqueness, traceability and data consistency of the assets are improved.

Description

Technical Field

[0001] This document relates to the field of asset management technology, and in particular to a wind power asset coding method and system. Background Art

[0002] As a vital component of the renewable energy sector, the wind power industry requires digital and intelligent asset management, which is crucial for wind farm operations, maintenance, and future intelligent dispatching. Wind turbine operating data requires long-term, stable storage to support subsequent operational monitoring, maintenance management, fault diagnosis, and remote dispatching. Therefore, establishing an efficient and standardized asset coding system to ensure data readability, traceability, and cross-system compatibility is a crucial step in the wind power industry's digital transformation.

[0003] With the continuous development of global wind energy resources, the number and scale of wind farms are rapidly increasing. Efficiently managing wind turbines, wind farms, and related equipment has become a key focus of the industry. However, current wind power asset management faces numerous challenges, including: a lack of unified standards for asset coding; limitations in traditional coding methods; chaotic data management and difficulty tracking assets; and a lack of global uniqueness in equipment geolocation coding. Wind turbine management typically involves the device's geographic location information, but traditional coding methods struggle to guarantee global uniqueness. For example, traditional longitude and latitude storage methods often rely on manual input, which is prone to errors; and device location coordinates can deviate due to factors such as GPS device errors, impacting the accuracy of asset management. Summary of the Invention

[0004] One or more embodiments of this specification provide a wind power asset coding method, including:

[0005] Collect basic data of wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases, and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information, and electrical equipment information;

[0006] Based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data to obtain the encoded wind power asset data;

[0007] The encoded wind power asset data is stored in a database according to a hierarchical storage structure, which includes a group and branch company table, a wind farm station table, a wind turbine table, and an electrical equipment status table.

[0008] Furthermore, in the data collection step:

[0009] The wind power group information includes the group name, social credit code and the number of wind farms managed;

[0010] The wind farm station information includes the station name, geographical location, telephone area code of the region and station capacity;

[0011] The wind turbine information includes the unit number, operating status, power generation capacity, geographical location coordinates and manufacturer information;

[0012] The electrical equipment information includes the codes and operating parameters of the substation, cables, and box-type transformers.

[0013] Furthermore, based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data, and the encoded wind power asset data is obtained. The specific method includes:

[0014] The unique code for the wind power group and its subsidiaries shall adopt the unified social credit code;

[0015] The unique code of the wind turbine is converted into an integer code by mathematically converting the longitude and latitude coordinates of its geographical location;

[0016] The unique code of the wind farm station is an integer code generated by the telephone area code of the city to which it belongs and the longitude and latitude coordinates of the center point of the wind farm station;

[0017] Furthermore, the unique code conversion method of the wind turbine generator set is specifically as follows:

[0018] Use the longitude and latitude conversion mathematical formula to generate a unique integer code:

[0019] N=[(Lat+90)×10 6 ]×10 6 +[(Lon+180)×10 6 ];

[0020] Among them, Lat is the latitude of the wind turbine or equipment, Lon is the longitude of the wind turbine or equipment, and N is a unique integer code.

[0021] Furthermore, the unique code conversion method of the wind farm station is specifically as follows:

[0022] Calculate a unique integer value using the city telephone area code and the longitude and latitude of the wind farm unit center point:

[0023]

[0024] Among them, n is the number of wind turbines in the wind farm, Lon i ,Lat i is the longitude and latitude coordinates of each unit, C Lat ,C Lon The longitude and latitude coordinates of the center point of the station.

[0025] Furthermore, in the hierarchical storage structure:

[0026] The group and subsidiary company table stores the group name, unified social credit code and a list of associated wind farms;

[0027] The wind farm station table stores the city telephone area code, the longitude and latitude of the center point and the station capacity;

[0028] The wind turbine table stores the turbine number, equipment type, unique code and operating data;

[0029] The device status table stores real-time operating status, maintenance records, and historical fault information.

[0030] Furthermore, the query and analysis of wind power assets can be realized based on the unique code, including:

[0031] Query detailed information about the wind turbine using its unique code, including its geographic location, operating status, and historical maintenance records;

[0032] Use longitude and latitude coordinates to query wind power assets around the coordinates, including wind turbines, wind farms, and substations.

[0033] Obtain wind turbine operating parameters, power generation and fault information by querying the real-time status of the equipment;

[0034] The device information is parsed through the mathematical inverse operation of the unique code.

[0035] One or more embodiments of this specification provide a wind power asset coding system, including:

[0036] Data acquisition module: used to collect basic data of wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information and electrical equipment information;

[0037] The code generation module is used to generate a unique code corresponding to the basic data of the collected wind farm and wind turbine using a mathematical conversion method to obtain the encoded wind power asset data;

[0038] Data storage module: used to store the encoded wind power asset data into the database according to the hierarchical storage structure. The hierarchical storage structure includes the group and branch company table, wind farm station table, wind turbine table and electrical equipment status table.

[0039] One or more embodiments of this specification provide an electronic device, including:

[0040] processor; and,

[0041] A memory is arranged to store computer-executable instructions, which, when executed, cause the processor to implement the steps of the wind power asset coding method.

[0042] One or more embodiments of this specification provide a storage medium for storing computer-executable instructions, wherein the computer-executable instructions implement the steps of the above-mentioned wind power asset encoding method when executed.

[0043] By adopting the embodiment of the present invention, a complete wind turbine asset coding and data management system is constructed through a standardized asset coding method combined with wind turbine operation data collected by SCADA, thereby realizing digital management of wind power assets, improving asset uniqueness, traceability and data consistency, and being suitable for wind farm asset management, smart grid data management, energy industry equipment coding, and other equipment asset management scenarios based on geographic location information.

[0044] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A flow chart of a wind power asset coding method provided in one or more embodiments of this specification;

[0047] Figure 2 A schematic diagram of the composition of a wind power asset coding system provided in one or more embodiments of this specification;

[0048] Figure 3 A schematic diagram of the structure of an electronic device provided in one or more embodiments of this specification. DETAILED DESCRIPTION

[0049] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this document.

[0050] Method Example

[0051] According to an embodiment of the present invention, a method for encoding wind power assets is provided. Figure 1 A flow chart of a wind power asset coding method provided in one or more embodiments of this specification, such as Figure 1 As shown, the wind power asset coding method according to an embodiment of the present invention specifically includes:

[0052] S1. Collect basic data of wind farms and wind turbines through the SCADA system, GIS equipment, wind turbine manufacturer database, and historical database. The basic data includes wind power group information, wind farm station information, wind turbine information, and electrical equipment information.

[0053] Data collection is a fundamental step in asset coding and management. This embodiment primarily relies on the SCADA data collection and monitoring system, combined with other data sources, including GIS equipment, wind turbine operation logs, equipment manufacturer databases, historical databases, etc., to collect basic information about wind farms and wind turbines, including but not limited to wind power group information, wind farm station information, wind turbine information, and electrical equipment information:

[0054] The wind power group information includes the group name, social credit code and the number of wind farms managed;

[0055] The wind farm station information includes the station name, geographical location, telephone area code of the region and station capacity;

[0056] The wind turbine information includes the unit number, operating status, power generation capacity, geographical location coordinates and manufacturer information;

[0057] The electrical equipment information includes the codes and operating parameters of the substation, cables, and box-type transformers.

[0058] The specific process of data collection includes:

[0059] Real-time operating data is collected through SCADA, including data on wind turbine power output, environmental parameters, fault status, etc.; geographic information is provided through GIS equipment, including longitude and latitude information of wind turbines, wind farms and ancillary equipment to support geographic location coding; equipment factory information is obtained through the wind turbine manufacturer database to ensure the accuracy of equipment numbering; and through historical database queries, asset codes stored in the database are compared to avoid duplicate coding and data conflicts.

[0060] S2. Based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data to obtain the encoded wind power asset data.

[0061] This embodiment uses a mathematical conversion method to achieve globally unique coding for wind turbines, wind farms, and related equipment, ensuring data standardization and traceability, where:

[0062] The wind power group and its subsidiaries use the unified social credit code (USCC) as the unique code to ensure identity consistency in asset management. The unified social credit code consists of 18 digits and letters, which can uniquely identify corporate information and facilitate group asset management.

[0063] The unique code of wind turbines and other equipment is generated by converting the longitude and latitude coordinates of their geographical location into a unique integer code using the longitude and latitude conversion mathematical formula to ensure that each wind turbine has a unique identity worldwide. The specific calculation method is as follows:

[0064] N=[(Lat+90)×10 6 ]×10 6 +[(Lon+180)×10 6 ];

[0065] Wherein, Lat is the latitude of the wind turbine or equipment, Lon is the longitude of the wind turbine or equipment, and N is a unique integer code;

[0066] The unique code of a wind farm is calculated as a unique integer value using the telephone area code of the city to which it belongs and the longitude and latitude coordinates of the center point of the wind farm. The calculation formula is as follows:

[0067]

[0068] Among them, n is the number of wind turbines in the wind farm, Lon i ,Lat i is the longitude and latitude coordinates of each unit, C Lat ,C Lon The longitude and latitude coordinates of the center point of the station.

[0069] S3. The encoded wind power asset data is stored in a database according to a hierarchical storage structure, wherein the hierarchical storage structure includes a group and branch company table, a wind farm station table, a wind turbine table, and an electrical equipment status table.

[0070] This embodiment provides a standardized data storage architecture that stores encoded wind power asset data in a database to ensure data integrity and queryability. The database design takes into account a hierarchical storage structure, including group and subsidiary tables, wind farm station tables, wind turbine table, and equipment status table:

[0071] The group and subsidiary company table stores information such as the group name, unified social credit code, and a list of associated wind farms;

[0072] The wind farm station table stores information such as city telephone area code, center point longitude and latitude, and station capacity;

[0073] The wind turbine table stores information such as turbine number, equipment type, unique code and operating data;

[0074] The device status table stores data such as real-time operating status, maintenance records, and historical fault information.

[0075] The specific process of data storage is as follows:

[0076] The encoded data is automatically stored in the database to avoid manual input errors;

[0077] The database provides indexing and query interfaces to support efficient retrieval of assets;

[0078] The database is synchronized and backed up regularly to ensure data security and integrity.

[0079] Querying and analyzing wind power assets is a key aspect of asset management. This embodiment provides a set of intelligent query tools that support retrieval of asset information based on unique codes and can parse detailed asset information. Querying and analyzing wind power assets based on unique codes specifically includes:

[0080] By entering the unique code of the wind turbine, you can query the detailed information of the wind turbine, including its geographical location, operating status and historical maintenance records;

[0081] By entering the longitude and latitude coordinates, you can query the wind power assets around the longitude and latitude, including wind turbines, wind farms, and substations.

[0082] By querying the real-time status of the equipment, the operating parameters, power generation and fault information of the wind turbine can be obtained;

[0083] Through mathematical inverse operations, the unique code can be resolved into the geographical location of the device, i.e., the longitude and latitude. During the resolution process, the device information in the database can be automatically matched to achieve rapid conversion from code to device information.

[0084] The software tool of this embodiment supports visual management of data and can intuitively present information such as the geographical location and operating status of wind turbines through the GIS system. Combined with big data analysis, it can provide the overall operation status of the wind farm and provide data support for optimizing wind farm management.

[0085] The beneficial effects of the present invention are as follows:

[0086] By adopting the embodiment of the present invention, a complete wind turbine asset coding and data management system is constructed through a standardized asset coding method combined with wind turbine operation data collected by SCADA, thereby realizing digital management of wind power assets, improving asset uniqueness, traceability and data consistency, and being suitable for wind farm asset management, smart grid data management, energy industry equipment coding, and other equipment asset management scenarios based on geographic location information.

[0087] System Example

[0088] According to an embodiment of the present invention, a wind power asset coding system is provided. Figure 2 A schematic diagram of a wind power asset coding system provided in one or more embodiments of this specification is shown in FIG. Figure 2 As shown, the wind power asset coding system according to an embodiment of the present invention specifically includes:

[0089] Data acquisition module 20: used to collect basic data of wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information and electrical equipment information;

[0090] The code generation module 22 is used to generate a unique code corresponding to the basic data of the wind farm and wind turbines based on the collected basic data, using a mathematical conversion method, to obtain the encoded wind power asset data;

[0091] The data storage module 24 is used to store the encoded wind power asset data into the database according to a hierarchical storage structure, wherein the hierarchical storage structure includes a group and branch company table, a wind farm station table, a wind turbine table and an electrical equipment status table.

[0092] The embodiment of the present invention is a system embodiment corresponding to the above-mentioned method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0093] Device Example 1

[0094] An embodiment of the present invention provides an electronic device, such as Figure 3 As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32. When the computer program is executed by the processor 32, the following method steps are implemented:

[0095] S1. Collect basic data on wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases, and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information, and electrical equipment information;

[0096] S2. Based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data to obtain the encoded wind power asset data;

[0097] S3. The encoded wind power asset data is stored in a database according to a hierarchical storage structure, wherein the hierarchical storage structure includes a group and branch company table, a wind farm station table, a wind turbine table, and an electrical equipment status table.

[0098] Device Example 2

[0099] An embodiment of the present invention provides a computer-readable storage medium having stored thereon a program for implementing information transmission. When the program is executed by the processor 32, the following method steps are implemented:

[0100] S1. Collect basic data on wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases, and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information, and electrical equipment information;

[0101] S2. Based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data to obtain the encoded wind power asset data;

[0102] S3. The encoded wind power asset data is stored in a database according to a hierarchical storage structure, wherein the hierarchical storage structure includes a group and branch company table, a wind farm station table, a wind turbine table, and an electrical equipment status table.

[0103] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk, or optical disk.

[0104] Finally, 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 above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A wind power asset coding method, characterized in that: include: Collect basic data of wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases, and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information, and electrical equipment information; Based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data to obtain the encoded wind power asset data; The encoded wind power asset data is stored in a database according to a hierarchical storage structure, which includes a group and branch company table, a wind farm station table, a wind turbine table, and an electrical equipment status table.

2. The wind power asset coding method according to claim 1, characterized in that: In the data collection step: The wind power group information includes the group name, social credit code and the number of wind farms managed; The wind farm station information includes the station name, geographical location, telephone area code of the region and station capacity; The wind turbine information includes the unit number, operating status, power generation capacity, geographical location coordinates and manufacturer information; The electrical equipment information includes the codes and operating parameters of the substation, cables, and box-type transformers.

3. The wind power asset coding method according to claim 1, characterized in that: Based on the collected basic data of wind farms and wind turbines, a mathematical conversion method is used to generate a unique code corresponding to the basic data. The specific method for obtaining the encoded wind power asset data includes: The unique code for the wind power group and its subsidiaries shall adopt the unified social credit code; The unique code of the wind turbine is converted into an integer code by mathematically converting the longitude and latitude coordinates of its geographical location; The unique code of the wind farm station is an integer code generated by the telephone area code of the city to which it belongs and the latitude and longitude coordinates of the center point of the wind farm station.

4. The wind power asset coding method according to claim 1, characterized in that: The unique code conversion method of the wind turbine generator set is specifically as follows: Use the longitude and latitude conversion mathematical formula to generate a unique integer code: N=[(Lat+90)×10 6 ]×10 6 +[(Lon+180)×10 6 ]; Among them, Lat is the latitude of the wind turbine or equipment, Lon is the longitude of the wind turbine or equipment, and N is a unique integer code.

5. The wind power asset coding method according to claim 1, characterized in that: The unique code conversion method of the wind farm station is specifically as follows: Calculate a unique integer value using the city telephone area code and the longitude and latitude of the wind farm unit center point: Among them, n is the number of wind turbines in the wind farm, Lon i ,Lat i is the longitude and latitude coordinates of each unit, C Lat ,C Lon The longitude and latitude coordinates of the center point of the station.

6. The wind power asset coding method according to claim 1, characterized in that: In the hierarchical storage structure: The group and subsidiary company table stores the group name, unified social credit code and a list of associated wind farms; The wind farm station table stores the city telephone area code, the longitude and latitude of the center point and the station capacity; The wind turbine table stores the turbine number, equipment type, unique code and operating data; The device status table stores real-time operating status, maintenance records, and historical fault information.

7. The wind power asset coding method according to claim 1, characterized in that: Query and analyze wind power assets based on unique codes, including: Query detailed information about the wind turbine using its unique code, including its geographic location, operating status, and historical maintenance records; Use longitude and latitude coordinates to query wind power assets around the coordinates, including wind turbines, wind farms, and substations. Obtain wind turbine operating parameters, power generation and fault information by querying the real-time status of the equipment; The device information is parsed through the mathematical inverse operation of the unique code.

8. A wind power asset coding system, characterized in that: include: Data acquisition module: used to collect basic data of wind farms and wind turbines through SCADA systems, GIS equipment, wind turbine manufacturer databases and historical databases. The basic data includes wind power group information, wind farm station information, wind turbine information and electrical equipment information; The code generation module is used to generate a unique code corresponding to the basic data of the collected wind farm and wind turbine using a mathematical conversion method to obtain the encoded wind power asset data; Data storage module: used to store the encoded wind power asset data into the database according to the hierarchical storage structure. The hierarchical storage structure includes the group and branch company table, wind farm station table, wind turbine table and electrical equipment status table.

9. An electronic device, characterized in that: include: processor; as well as, A memory arranged to store computer-executable instructions, which, when executed, cause the processor to implement the steps of the wind power asset coding method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: Used to store computer-executable instructions, which, when executed, implement the steps of the wind power asset coding method according to any one of claims 1 to 7.

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