Digital transformation propulsion method for new energy station

Abstract

The invention belongs to the field of power grid systems, and particularly relates to a digital transformation propulsion method for a new energy station. The method comprises: determining a digitized object and an activity; assigning identifiers to objects and activities to construct a set and variables, and defining set elements corresponding to the variables; constructing a logic model by utilizing the variables, and determining association between objects through an association matrix and a directed graph; a layered architecture design system is adopted according to a logic model and comprises a data acquisition layer, a data processing layer and a data application layer, each layer has corresponding functions, test optimization is performed after a component integration system is selected, the system is operated to promote digital transformation of a station, and the operation efficiency and the management level are improved. Digital transformation of the new energy station is promoted by determining digital objects and activities, giving identifiers to construct sets and variables, constructing a logic model and designing a system through a hierarchical architecture, so that the system is comprehensive, the logic is clear, the condition of the station can be accurately reflected, and the operation efficiency and the management level are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of digital technology for new energy stations, and in particular to a method for promoting digital transformation of new energy stations. Background Art

[0002] As the global demand for clean energy grows, the construction and development of new energy stations are rapid. However, in the process of rapid expansion, they are facing a series of challenges of digital transformation. Traditional management and operation models can no longer meet the requirements of efficiency, precision and intelligence.

[0003] From a technical perspective, new energy stations contain a variety of complex equipment and systems, such as wind turbines, solar photovoltaic panels, substation equipment, and monitoring systems. These equipment and systems generate a large amount of data, but lack effective integration and analysis methods. The compatibility and interoperability between different devices are poor, making data transmission and sharing difficult.

[0004] In terms of personnel management, multiple roles are involved, including operators, maintenance personnel, and managers. The workflow between the roles is not clear enough, and there is a lack of standardized operating specifications and coordination mechanisms. This results in slow response and low work efficiency when faced with equipment failures, production plan adjustments, etc.

[0005] In addition, the intensification of market competition requires new energy stations to continuously improve production efficiency, reduce costs, and enhance safety and reliability. Digital transformation has become a key way to achieve these goals, but there is currently a lack of a systematic, comprehensive and effective promotion method, which has led to many obstacles in the transformation process, such as unclear digital objects, unreasonable logical models, and imperfect system design, which seriously restrict the further development of new energy stations. Summary of the invention

[0006] In view of the shortcomings of the existing technology, the present invention proposes a method for promoting the digital transformation of new energy stations. The method promotes the digital transformation of new energy stations by determining digital objects and activities, assigning identifiers to construct sets and variables, building logical models, and designing systems with a hierarchical architecture. The system is comprehensive, logically clear, and can accurately reflect the station situation, thereby effectively improving operational efficiency and management level.

[0007] The technical solution of the present invention is as follows:

[0008] A method for promoting digital transformation of new energy stations, comprising:

[0009] Determine the digital objects in the new energy station and identify all digital activities in the station;

[0010] Unique identifiers are assigned to digital objects and corresponding digital activities in the new energy station to construct digital object sets and digital activity sets; digital object variables and digital activity variables are defined to represent the digital object currently being operated on and the digital operation currently being performed;

[0011] Use digital object variables and digital activity variables to build a digital logic model and determine the relationship between digital objects and digital operations;

[0012] Based on the digital logical model, a layered architecture design is adopted to build a digital system for new energy stations. By running the digital system for new energy stations, the digital transformation of new energy stations is promoted.

[0013] The digital objects include equipment entities, system modules, personnel roles and process links;

[0014] Among them, for equipment entities, digital activities include data collection, condition monitoring, fault diagnosis and control operations;

[0015] For system modules, digital activities include data acquisition, data processing, and control decisions;

[0016] For human roles, digitization activities include operation records, training records, and performance evaluations;

[0017] For the process links, digital activities include process tracking, process optimization and process evaluation.

[0018] For the equipment entity, an identification is given by using the equipment number or location-related identification method to construct a digital object set E of the equipment entity. d , E d ={e d1 , e d2 , e d3 ,…,e dn}, where e di Represents the digitized object of the i-th device entity;

[0019] For the system module, an identifier is assigned according to the position and function of the system module in the system, and a system module digital object set E is constructed. s , E s ={e s1 , e s2 , e s3 ,…,e sm}, where e sj Represents the digital object of the j-th system module;

[0020] For the personnel role, an identifier is assigned according to the employee number or other identification information, and a personnel role digital object set E is constructed. p, Ep p ={e p1 , e p2 , e p3 ,…,e pk}, where e pk Represents the kth personnel role digital object;

[0021] For the process links, an identifier is assigned according to the position and order of the process links in the process, and a digital object set E of the process links is constructed. f , E f ={e f1 , e f2 , e f3 ,…,e fl}, where e fl Represents the digital object of the lth process link.

[0022] For the digital activities of the device entity, an identifier is assigned according to the identification method related to the device operation, and a device entity digital activity set A is constructed. d , A d ={a d1 , a d2 , a d3 , …, a dn′}, where a di represents the digitization activity of the i-th device entity;

[0023] For the digital activities of the system modules, an identifier is assigned according to the identification method related to the module operation, and a system module digital activity set A is constructed. s , A s ={a s1 , a s2 , a s3 , …, a sm}, where a sj represents the digitalization activity of the jth system module;

[0024] For the digital activities of the personnel roles, an identifier is assigned according to the required method related to the personnel operation, and a set of digital activities of the personnel roles A is constructed. p , A p ={a p1 , a p2 , a p3 , …, a pk}, where a pk represents the digital activity of the kth personnel role;

[0025] For the digital activities of the process link, an identifier is assigned according to the identification method related to the process link operation, and a set of digital activities of the process link A is constructed. f , Af ={a f1 , a f2 , a f3 , …, a fl}, where a fl Represents the digitalization activity of the lth process link.

[0026] The method of defining the digital object variable is that the digital object variable x corresponds to an element in the digital object set, x is expressed in decimal form, the integer part of x represents the digital object type, and the decimal part of x represents the element corresponding to the digital object;

[0027] The method of defining the digital activity variable is that the digital activity variable y corresponds to the element in the digital activity set, y is expressed in decimal form, the integer part of y represents the digital activity type, and the decimal part of y represents the element corresponding to the digital activity.

[0028] The step of constructing a digital logic model comprises:

[0029] Construct an n×m association matrix B, where n is the number of elements in the digital object set and m is the number of elements in the digital activity set; for each digital object under each digital activity, if there is an association relationship, then the matrix element B ij =1; if there is no association, then B ij =0;

[0030] According to the relationship in the association matrix B, the directed graph in graph theory is used to present the digital logic model;

[0031] Among them, there are four nodes in the directed graph: equipment entity, system module, personnel role and process link;

[0032] The edge and annotation relationship types and parameters of the directed graph are determined based on the association matrix B and the analysis of the actual association relationship.

[0033] The energy station digital system includes a data acquisition layer, a data processing layer and an application layer; data transmission is achieved between the data acquisition layer and the data processing layer through interface design, and data transmission is achieved between the data processing layer and the application layer through middleware.

[0034] The beneficial effects of the present invention are as follows: through detailed analysis and identification, the present invention can clarify the digital objects and activities in new energy stations, avoid missing important digital links, and provide a solid foundation for digital transformation.

[0035] Through the analysis of the identification and association of digital objects and activities, a reasonable digital logic model is constructed. This model can accurately reflect the interaction between digital objects in new energy stations and provide guidance for the design of digital systems.

[0036] The hierarchical digital system designed based on the digital logic model has efficient data collection, processing and application functions, which can effectively improve the operational efficiency of new energy stations, reduce operating costs, and improve safety and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a schematic diagram of the overall process of promoting the digital transformation of new energy stations;

[0038] Figure 2 A detailed flow chart of the S100 step of the digital transformation promotion method for new energy stations;

[0039] Figure 3 A detailed flow chart of the S200 step of the method for promoting the digital transformation of new energy stations;

[0040] Figure 4 It is a detailed flow chart of the S300 step of the method for promoting the digital transformation of new energy stations;

[0041] Figure 5 This is a detailed flow chart of the S400 steps for the method to promote the digital transformation of new energy stations. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] See also Figure 1 , which shows a method for promoting digital transformation of new energy stations provided by an embodiment of the present invention, including:

[0044] S100: Determine the digital objects in the new energy station and identify all digital activities in the station.

[0045] S200: Assign unique identifiers to digital objects and corresponding digital activities in the new energy station to construct a digital object set and a digital activity set; define digital object variables and digital activity variables to represent the digital object currently being operated and the digital operation currently being performed.

[0046] S300: constructing a digital logic model using digital object variables and digital activity variables, and determining the association relationship between digital objects and digital operations.

[0047] S400: Based on the digital logic model, a layered architecture design is used to build a digital system for new energy stations; by running the digital system for new energy stations, the digital transformation of new energy stations is promoted.

[0048] S100 involves determining the digital objects in the new energy station and identifying all digital activities in the station. This step includes classifying and systematically sorting out the equipment in the station, as well as identifying the personnel and main work processes in the station. The core of the technology lies in the detailed analysis of the equipment and systems, as well as the personnel and processes of the station, to ensure that the foundation of digital transformation is comprehensive and accurate. This step provides a clear starting point for digital transformation, ensuring that every link in the transformation process can be effectively identified and managed, thereby improving the systematic and comprehensive nature of the transformation.

[0049] Please refer to Figure 2 , which shows a flowchart of an exemplary method S100 for promoting digital transformation of a new energy station in the present application, and its contents include:

[0050] S110: Classify various equipment at new energy stations and sort out various systems at the stations.

[0051] The various types of equipment at new energy stations include:

[0052] Power generation equipment, such as wind turbines and solar photovoltaic panels;

[0053] Substation equipment, such as substations, inverters, and combiner boxes;

[0054] Monitoring equipment, such as sensors and monitoring systems.

[0055] The various systems of new energy stations include: power production system, power transmission system, monitoring and management system, etc.

[0056] New energy sites cover a variety of equipment and systems, and detailed analysis of them is the basis for determining digital objects and activities.

[0057] S120: Identify various personnel in the station and sort out the main work processes of the new energy station.

[0058] The personnel in the new energy station can be divided into operators, maintenance personnel and management personnel. Operators are responsible for the daily operation of the equipment. Maintenance personnel are responsible for the regular maintenance and fault repair of the equipment. Management personnel are responsible for the overall operation and management of the station, including personnel scheduling, production planning, cost control and safety management.

[0059] The workflow of a new energy station includes power generation, equipment maintenance and fault handling. The power generation process is the core business process of the station. From energy capture to electricity generation, different types of new energy stations have different power generation processes. In a wind power station, the power generation process starts with wind energy being captured by blades, and then converted by the hub, gearbox and generator to generate electricity. In a solar photovoltaic power station, the power generation process starts with solar energy being absorbed by photovoltaic panels, and then converted by the inverter to generate electricity. The equipment maintenance process is an important part of ensuring the normal operation of the equipment, including regular equipment inspections, equipment maintenance and equipment repairs. The fault handling process is to promptly diagnose, isolate and repair faults when equipment fails, so as to restore the normal operation of the equipment.

[0060] S130: Based on the results of equipment and system analysis as well as personnel and process analysis, comprehensively determine the digital objects in the new energy station.

[0061] Digital objects include equipment entities, system modules, personnel roles and process links. Equipment entities cover all equipment in the station. System modules include data acquisition modules, data processing modules and control modules in the monitoring system. Personnel roles include operators, maintenance personnel and managers. Process links include various links in the power generation process, such as wind energy capture, power conversion, etc., as well as various links in the equipment maintenance process, such as equipment inspection and equipment maintenance.

[0062] S140: For each digital object, identify digital activities related thereto.

[0063] For equipment entities, digital activities include data collection, condition monitoring, fault diagnosis and control operations.

[0064] For system modules, digital activities include data acquisition, data processing, and control decisions.

[0065] For human roles, digitization activities include operation records, training records, and performance evaluations.

[0066] For the process links, digital activities include process tracking, process optimization and process evaluation.

[0067] S200 focuses on assigning unique identifiers to digital objects and corresponding digital activities within new energy stations, and constructing digital object sets and digital activity sets. This step provides a clear identifier for each object and activity by defining digital object variables and digital activity variables, making management and operation more precise. The key to the technology is the use of a standardized identification system to facilitate data tracking and management. This step improves the efficiency of data management and operation, reduces errors and confusion caused by unclear identification, and provides a solid data foundation for the subsequent construction of digital logic models.

[0068] Please refer to Figure 3 , which shows a flowchart of an exemplary method S200 for promoting digital transformation of a new energy station in the present application, and its contents include:

[0069] S210: Assigning identification to digital objects and digital activities.

[0070] For the digital objects of equipment entities, the equipment number or location-related identification method is used, such as wind turbine WTG-001, solar photovoltaic panel SPV-001, transformer TRA-001, inverter INV-001, etc.

[0071] For system module digital objects, labels are assigned according to their positions and functions in the system, such as data acquisition module DAQ-001, data processing module DP-001, control module Ctrl-001, etc.

[0072] For digital objects of personnel roles, labels are assigned according to employee numbers or other identification information, such as operator OP-001, maintenance personnel MT-001, management personnel MG-001, etc.

[0073] For digital objects in process links, labels are assigned according to their position and sequence in the process, such as GP-001 for wind energy capture in the power generation process and MP-001 for equipment inspection in the equipment maintenance process.

[0074] For the physical digital activities of equipment, the identification methods related to equipment operation are adopted, such as wind turbine start WTG-Start, stop WTG-Stop, power adjustment WTG-PowerAdjust, etc.

[0075] For the digital activities of system modules, the identification methods related to the module operations are adopted, such as DAQ-Collect for data acquisition module, DP-Clean for data processing module, DP-Analyze for analysis, DP-Compress for compression, etc.

[0076] For personnel digitalization activities, the required methods related to personnel operations are adopted, such as operator records OP-Record, training OP-Train, etc.

[0077] For digital activities in process links, identification methods related to link operations are used, such as GP-Monitor and GP-Evaluate in the wind energy capture link in the power generation process.

[0078] S220: Constructing a digital object set and a digital activity set based on the identified digital objects and digital activities.

[0079] The digital object set includes the digital object set of equipment entities, the digital object set of system modules, the digital object set of personnel roles and the digital object set of process links.

[0080] The digital activity set includes the equipment entity digital activity set, the system module digital activity set, the personnel role digital activity set and the process link digital activity set.

[0081] The set of digital objects of equipment entities is E d , E d ={e d1 , e d2 , e d3 ,…,e dn}, where e di Represents the digitized object of the i-th device entity.

[0082] The system module digital object set is E s , E s ={e s1 , e s2 , e s3 ,…,e sm}, where e sj Represents the j-th system module digital object.

[0083] The set of digital objects of personnel roles is E p , E p ={e p1 , e p2 , e p3 ,…,e pk}, where e pk Represents the kth personnel role digital object.

[0084] The set of digital objects in the process is E f , E f ={e f1 , e f2 , e f3 ,…,e fl}, where e fl Represents the digital object of the lth process link.

[0085] Then the digital object set O is expressed as: O = E d ∪E s ∪E p ∪E f .

[0086] The set of equipment entity digitalization activities is A d , A d ={a d1 , a d2 , a d3 , …, a dn′}, where a di Represents the digitization activity of the i-th equipment entity.

[0087] The system module digital activity set is A s , A s ={a s1 , a s2 , a s3 , …, a sm′}, where a sj Represents the digitization activity of the jth system module.

[0088] The set of digital activities of personnel roles is A p , A p ={a p1 , a p2 , a p3 , …, a pk}, where a pk Represents the k-th personnel role digitalization activity.

[0089] The digital activities of the process are set as A f , A f ={a f1 , a f2 , a f3 , …, a fl′}, where a fl Represents the digitalization activity of the lth process link.

[0090] Then the digital activity set A is expressed as: A = A d ∪A s ∪A p ∪A f .

[0091] S230: Define digital object variables and digital activity variables.

[0092] Define a digital object variable, whose value x corresponds to an element in the digital object set. The value x is expressed in decimal form. The integer part of x represents the digital object type, and the decimal part of x represents the element corresponding to the digital object. For example, when x = 1.1, it means that the digital object involves e in the physical digital object set. d1 .

[0093] Define a digital activity variable, whose value y corresponds to an element in the digital activity set. The value y is expressed in decimal form, the integer part of y represents the digital activity type, and the decimal part of y represents the element corresponding to the digital activity. For example, when y = 1.1, it means that the digital activity involves ad1 in the digital activity set of the device entity.

[0094] The core of S300 is to build a digital logic model using digital object variables and digital activity variables to determine the relationship between digital objects and digital operations. This step presents the digital logic model by constructing an association matrix and a directed graph, clarifying the relationship between objects and the direction of operation. The key to the technology is to transform complex station operations into quantifiable and traceable logical models. This step provides a clear operational blueprint, making the design and implementation of the digital system more targeted and efficient, and also facilitating the monitoring and optimization of the station's operational processes.

[0095] Please refer to Figure 4 , which shows a flowchart of an exemplary method S300 for promoting digital transformation of a new energy station in the present application, and its contents include:

[0096] S310: Construct a correlation matrix.

[0097] Construct an n×m association matrix B, where n is the number of elements in the digital object set and m is the number of elements in the digital activity set. For each digital object under each digital activity, if there is an association relationship, then the matrix element B ij =1; if there is no association, then B ij =0.

[0098] For example, if the wind turbine WTG-001 is associated with the data acquisition module DAQ-001 of the monitoring system under the startup operation WTG-Start, then B 11 =1 (assuming that WTG-001 is the first digitized object and WTG-Start is the first digitized activity). If WTG-001 has no association with the data acquisition module DAQ-001 of the monitoring system under the stop operation WTG-Stop, then B 12 =0.

[0099] S320: Build a digital logic model.

[0100] The digital logic model is presented using a directed graph in graph theory. In a directed graph, nodes represent digital objects, including equipment entities, system modules, personnel roles, and process links. Each node corresponds to a specific element in an actual new energy station. Directed edges represent the association relationship and operation direction between digital objects. The direction of the edge clarifies that the association is a specific operation process from one object to another.

[0101] The construction of digital logic model specifically includes: firstly, determining the nodes of the directed graph in graph theory according to the set of digital objects. The set of digital objects includes equipment entities, system modules, personnel roles and process links. There are four nodes in the directed graph of the logic model corresponding to the four digital objects.

[0102] Next, the edge and label relationship types and parameters are determined based on the association matrix and the analysis of the actual association relationship. 11 =1 (assuming that WTG-001 is the first digital object, corresponding to the first row of the association matrix, and the digital operation corresponding to DAQ-001 is the first operation, corresponding to the first column of the association matrix), and it is known that there is a data transmission relationship between the wind turbine generator set and the data acquisition module of the monitoring system under the startup operation. Therefore, in the logical model, there will be a directed edge marked as "data transmission" from the WTG-001 node to the DAQ-001 node, and marked with parameters such as transmission frequency.

[0103] For another example, if operator OP-001 has a control relationship with wind turbine WTG-001 under the startup operation, then there will be a directed edge labeled "control" from the OP-001 node to the WTG-001 node.

[0104] In this way, a complete digital logical model is constructed, which can accurately reflect the complex relationship and operation direction between digital objects in new energy stations, and provide clear guidance for the subsequent digital system design and operation.

[0105] S400 involves building a digital system for new energy stations based on a digital logical model using a layered architecture design, and promoting the digital transformation of new energy stations by running the system. This step includes the design and integration of the data acquisition layer, data processing layer, and application layer, as well as the testing and optimization of the system. The core of the technology lies in the effective collection, processing, and application of data, as well as the rational selection and integration of system components. This step aims to improve the flexibility and scalability of the system through a layered architecture, so that the system can better adapt to the ever-changing needs of stations, and is also easy to maintain and upgrade, thereby promoting the digital transformation of new energy stations and improving operational efficiency and management level.

[0106] Please refer to Figure 5 , which shows a flowchart of an exemplary method S400 for promoting digital transformation of new energy stations in the present application, and its contents include:

[0107] S410: Based on the principle of digital logic model, a layered architecture design is adopted to build a digital system for new energy stations.

[0108] The digital logic model determines the association relationship and operation direction between digital objects in the new energy station. The hierarchical architecture design divides and organizes the functions of the system reasonably according to the association relationship and operation direction. For example, the digital logic model involves the data transmission and control relationship between the device entity and the system module. In the hierarchical architecture, data acquisition, data processing and control functions are implemented at different levels. Each layer of the hierarchical architecture corresponds to certain objects and operations in the digital logic model, thereby ensuring that the system can accurately implement the functions described by the digital logic model.

[0109] The layered architecture includes data acquisition layer, data processing layer and application layer.

[0110] The main function of the data collection layer is to collect raw data from various digital objects in new energy stations. Raw data includes equipment operation data, personnel operation data and process link data. The collection methods include sensor collection and system interface collection.

[0111] The data processing layer is responsible for processing the collected raw data, including data cleaning, data analysis and data compression.

[0112] The application layer is used to remotely monitor equipment, diagnose equipment failures, and evaluate the production efficiency of power generation equipment.

[0113] The data collected by the data acquisition layer needs to be transmitted to the data processing layer for processing, and data transmission is achieved through interface design. The data processed by the data processing layer needs to be transmitted to the application layer for use by application functions, and data transmission is achieved through middleware.

[0114] S420: Based on the principles of data acquisition layer, data processing layer and application layer, select system components and integrate the system. Test and optimize the system to ensure that the system can accurately carry out digital transformation.

[0115] Select system components based on the functional requirements of each layer, such as sensors and acquisition cards for the data acquisition layer, software and algorithm libraries for the data processing layer, development platforms and visualization tools for the application layer, and integrate components at each layer through interface design and middleware.

[0116] After system integration, functional, performance and reliability tests should be carried out. Functional testing checks whether the design requirements are met, performance testing evaluates speed and response time, and reliability testing verifies stability under different environments. The system is then optimized based on the test results.

[0117] The optimized system is put into operation, and the stations are digitally managed through the system. The operating results are continuously tracked to evaluate the progress of the transformation. The system parameters and strategies are adjusted according to the evaluation results to further promote the digital transformation of new energy stations and improve their operational efficiency and management level.

[0118] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0119] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0120] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0121] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features of the present invention.

[0122] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for promoting digital transformation of new energy stations, characterized in that: include: Determine the digital objects in the new energy station and identify all digital activities in the station; Unique identifiers are assigned to digital objects and corresponding digital activities in the new energy station to construct digital object sets and digital activity sets; digital object variables and digital activity variables are defined to represent the digital object currently being operated on and the digital operation currently being performed; Use digital object variables and digital activity variables to build a digital logic model and determine the relationship between digital objects and digital operations; Based on the digital logical model, a layered architecture design is adopted to build a digital system for new energy stations. By running the digital system for new energy stations, the digital transformation of new energy stations is promoted.

2. A method for promoting digital transformation of new energy stations according to claim 1, characterized in that: The digital objects include equipment entities, system modules, personnel roles and process links; Among them, for equipment entities, digital activities include data collection, condition monitoring, fault diagnosis and control operations; For system modules, digital activities include data acquisition, data processing, and control decisions; For human roles, digitization activities include operation records, training records, and performance evaluations; For the process links, digital activities include process tracking, process optimization and process evaluation.

3. A method for promoting digital transformation of new energy stations according to claim 2, characterized in that: For the equipment entity, an identification is given by using the equipment number or location-related identification method to construct a digital object set E of the equipment entity. d , E d ={e d1 , e d2 , e d3 ,…,e dn }, where e di Represents the digitized object of the i-th device entity; For the system module, an identifier is assigned according to the position and function of the system module in the system, and a system module digital object set E is constructed. s , E s ={e s1 , e s2 , e s3 ,…,e sm }, where e sj Represents the digital object of the jth system module; For the personnel role, an identifier is assigned according to the employee number or other identification information, and a personnel role digital object set E is constructed. p , E p ={e p1 , e p2 , e p3 ,…,e pk }, where e pk Represents the kth personnel role digital object; For the process links, an identifier is assigned according to the position and order of the process links in the process, and a digital object set E of the process links is constructed. f , E f ={e f1 , e f2 , e f3 ,…,e fl }, where e fl Represents the digital object of the lth process link.

4. A method for promoting digital transformation of new energy stations according to claim 2, characterized in that: For the digital activities of the device entity, an identifier is assigned according to the identification method related to the device operation, and a device entity digital activity set A is constructed. d , A d ={a d1 , a d2 , a d3 , …, a dn′ }, where a di represents the digitization activity of the i-th device entity; For the digital activities of the system modules, an identifier is assigned according to the identification method related to the module operation, and a system module digital activity set A is constructed. s , A s ={a s1 , a s2 , a s3 , …, a sm′ }, where a sj represents the digitalization activity of the jth system module; For the digital activities of the personnel roles, an identifier is assigned according to the required mode related to the personnel operation, and a set of digital activities of the personnel roles A is constructed. p , A p ={a p1 , a p2 , a p3 , …, a pk′ }, where a pk represents the digital activity of the kth person role; For the digital activities of the process link, an identifier is assigned according to the identification method related to the process link operation, and a set of digital activities of the process link A is constructed. f , A f ={a f1 , a f2 , a f3 , …, a fl′ }, where a fl Represents the digitalization activity of the lth process link.

5. According to claim 1, a method for promoting digital transformation of new energy stations is characterized in that: The method of defining the digital object variable is that the digital object variable x corresponds to an element in the digital object set, x is expressed in decimal form, the integer part of x represents the digital object type, and the decimal part of x represents the element corresponding to the digital object; The method of defining the digital activity variable is that the digital activity variable y corresponds to the element in the digital activity set, y is expressed in decimal form, the integer part of y represents the digital activity type, and the decimal part of y represents the element corresponding to the digital activity.

6. A method for promoting digital transformation of new energy stations according to claim 1, characterized in that: The step of constructing a digital logic model comprises: Construct an n×m association matrix B, where n is the number of elements in the digital object set and m is the number of elements in the digital activity set; for each digital object under each digital activity, if there is an association relationship, then the matrix element B ij =1; if there is no association, then B ij =0; According to the relationship in the association matrix B, the directed graph in graph theory is used to present the digital logic model; Among them, there are four nodes in the directed graph: equipment entity, system module, personnel role and process link; The edge and annotation relationship types and parameters of the directed graph are determined based on the association matrix B and the analysis of the actual association relationship.

7. A method for promoting digital transformation of new energy stations according to claim 1, characterized in that: The energy station digital system includes a data acquisition layer, a data processing layer and an application layer; data transmission is achieved between the data acquisition layer and the data processing layer through interface design, and data transmission is achieved between the data processing layer and the application layer through middleware.

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