Digraph-based distribution transformer evaluation method and related equipment

Abstract

The invention relates to the technical field of electric power material supply management and intelligent purchase evaluation, and discloses a digraph-based distribution transformer evaluation method and related equipment, and the method comprises the steps: building a distribution transformer supplier quantitative index; based on a multi-dimensional component material supply relationship between suppliers, constructing a distribution transformer supplier group supply chain directed graph; on the basis of a distribution transformer supplier group supply chain directed graph, graph feature dimensions are constructed to quantify supplier multi-dimensional attributes and a supply chain relation; and evaluating the distribution transformer in the graph feature dimension according to the distribution transformer supplier quantitative index. The method can comprehensively cover the key evaluation elements of the distribution transformer supplier. The method comprises quantitative evaluation of core component materials such as an iron core, an electromagnetic wire, insulating oil and the like and key processes such as a coil winding process, an iron core shearing process and the like, so that the accuracy and pertinence of evaluation are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power material supply management and intelligent procurement evaluation, and in particular to a distribution transformer evaluation method based on a directed graph and related equipment. Background Art

[0002] In the power system, the transformer is the core equipment for energy conversion and transmission. Its importance is self-evident. It can not only meet the needs of different power equipment and users, but also bear the important responsibilities of ensuring the stable operation of the power grid, improving energy utilization efficiency and reducing power loss. With the update of technology, distribution transformers have developed rapidly due to their significant energy-saving effects and high and stable operation efficiency. Therefore, it is very important to analyze the distribution transformer supplier group under the implementation of new energy efficiency, quantify the differences of distribution transformer products of various suppliers under the implementation of new energy efficiency, grasp the overall level of distribution transformers in the industry, evaluate the distribution transformers provided by various suppliers, improve the quality and efficiency of distribution transformer procurement, and benignly guide suppliers in the new energy efficiency industry chain to improve their technical capabilities and product quality. However, most of the current research focuses on the analysis and evaluation of transformer component materials and production processes, while ignoring the supply relationship between suppliers and the importance of suppliers in the industry and the impact of their roles on the quality of distribution transformers. Therefore, it is very important to conduct accurate evaluation of suppliers themselves and their complex supply chains for the evaluation and procurement of distribution transformers. Summary of the invention

[0003] In order to overcome the defects of the above-mentioned prior art, the purpose of the present invention is to provide a distribution transformer evaluation method and related equipment based on a directed graph to solve the technical problem of how to establish an evaluation system for distribution transformers.

[0004] The present invention is achieved through the following technical solutions: In a first aspect, the present invention provides a distribution transformer evaluation method based on a directed graph, comprising: Establish quantitative indicators for distribution transformer suppliers; Based on the multi-dimensional component material supply relationship between suppliers, a directed graph of the supply chain of distribution transformer suppliers is constructed; Based on the directed graph of the distribution transformer supplier group supply chain, the graph feature dimension is constructed to quantify the multi-dimensional attributes of suppliers and supply chain relationships; The distribution transformers are evaluated based on the quantitative indicators of distribution transformer suppliers and the graphical feature dimensions.

[0005] Preferably, the distribution transformer supplier quantitative indicators include the distribution transformer supplier component material quantitative indicators and the distribution transformer supplier process quantitative indicators; The quantitative indicators of the distribution transformer supplier's component materials include iron core, electromagnetic wire, insulating oil, fan, pressure relief valve, bushing, tap changer, temperature control equipment and oil storage cabinet; The distribution transformer supplier's process quantitative indicators include coil winding process, core shearing process, coil pressing and drying process, core stacking process, coil curing process, vacuum oil injection process, body drying process and final assembly process.

[0006] Preferably, in the step of establishing a directed graph of the supply chain of a distribution transformer supplier group based on the multi-dimensional component material supply relationship between suppliers, the specific process is as follows: By using the Neo4j graph database, each node is set as a transformer manufacturer. The connection between the nodes, that is, the edge, represents the supply relationship between the transformer manufacturers, and the direction of the edge represents the flow of supply.

[0007] Preferably, the types of nodes include transformer suppliers, suppliers that provide components, and suppliers that have transformers and provide components.

[0008] Preferably, based on the directed graph of the supply chain of the distribution transformer supplier group, in the step of constructing graph feature dimensions to quantify the multi-dimensional attributes of suppliers and supply chain relationships, the graph feature dimensions include degree centrality, betweenness centrality and eigenvector centrality.

[0009] Furthermore, based on the directed graph of the supply chain of the distribution transformer supplier group, in the step of constructing a graph feature dimension to quantify the multi-dimensional attributes of suppliers and the supply chain relationship, the quantification process of the multi-dimensional attributes of suppliers and the supply chain relationship through the graph feature dimension is as follows: The degree centrality is set as the number of edges connected to any node. In the directed graph of the supply chain of the distribution transformer supplier group, two degree centrality measures are set, which are inflow and outflow. The larger the node degree of a node, the greater the activity, and the expression is as follows;

[0010] in, represents degree centrality, represents node i, Indicates the number of edges connected to the i-node; Betweenness centrality evaluates a node's influence and control in the network by calculating the number of times a node appears on the shortest path between other pairs of nodes, and identifies nodes that play a key role in the structure and function of the entire network. The expression is as follows:

[0011] Among them, sd(j,i,k) means that the shortest path from j to k passes through i, that is, i is on the shortest path from j to k; The eigenvector centrality reflects the contribution of the node to the entire network, and the expression is as follows:

[0012] Among them, Indicates the importance of the node. is the proportionality constant.

[0013] Preferably, in the step of evaluating the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph characteristics, the quantitative indicators of the component materials and processes of the distribution transformer are analyzed, the transformer is scored and evaluated according to the quality of the component materials and the level of the process, and the evaluation results are obtained.

[0014] In a second aspect, the present invention further provides an evaluation system for distribution transformers based on a directed graph, comprising: Index quantification module, used to establish quantitative indicators for distribution transformer suppliers; A graph construction module is used to construct a directed graph of the supply chain of distribution transformer suppliers based on the multi-dimensional component material supply relationship between suppliers; A graph feature dimension construction module is used to construct a graph feature dimension to quantify the multi-dimensional attributes of suppliers and supply chain relationships based on the directed graph of the distribution transformer supplier group supply chain; The evaluation module is used to evaluate the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph features.

[0015] In a third aspect, the present invention also provides a mobile terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the evaluation method for distribution transformers based on a directed graph as described above are implemented.

[0016] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the evaluation method for distribution transformers based on a directed graph as described above.

[0017] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention provides an evaluation method for distribution transformers based on a directed graph. By establishing detailed component material quantitative indicators and process quantitative indicators, the method can comprehensively cover the key evaluation factors of distribution transformer suppliers. This includes quantitative evaluation of core component materials such as iron core, electromagnetic wire, insulating oil, and key processes such as coil winding process and iron core shearing process, thereby ensuring the accuracy and pertinence of the evaluation. A directed graph model is introduced, the multi-dimensional component material supply relationship between suppliers is considered, and a directed graph of the supplier group supply chain is constructed. This step not only focuses on the performance of a single supplier, but also places it in the entire supply chain network for analysis, so as to more accurately reflect the role and status of the supplier in the industry. Combined with the component material quantitative indicators, process quantitative indicators and graph centrality indicators, the method can score and evaluate suppliers. This comprehensive evaluation method can comprehensively reflect the supplier's ability level, including product quality, production efficiency, supply chain management capabilities and other aspects, thereby providing strong support for enterprises to select suitable suppliers.

[0018] Furthermore, based on the supplier directed graph, the present invention deeply mines the relationship between nodes in the supplier directed graph, and can obtain the importance of nodes in the supply chain through the graph centrality index, which has certain guiding value for evaluating the level of distribution transformer suppliers and their position in the supply chain. Supplier evaluation is carried out based on the directed graph, combined with the quantitative indicators of component materials and process of distribution transformer suppliers, to achieve effective definition of the domain of high-quality suppliers of distribution transformers; at the same time, it provides clear guidance and suggestions for optimizing key factors such as product quality and supply and marketing relations of distribution transformer suppliers, and effectively assists in the intelligent rejection of the initial evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Schematic diagram of a distribution transformer evaluation method based on a directed graph in an embodiment of the present invention; Figure 2 It is a partial display diagram of the directed graph of the distribution transformer supplier in an embodiment of the present invention; Figure 3 Schematic diagram of an evaluation system for distribution transformers based on a directed graph in an embodiment of the present invention; In the figure: 1. Index quantification module; 2. Composition module; 3. Graph feature dimension construction module; 4. Evaluation module. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0021] The purpose of the present invention is to provide a distribution transformer evaluation method and related equipment based on a directed graph to solve the technical problem of how to establish an evaluation system for distribution transformers.

[0022] The present invention is further described in detail below in conjunction with the accompanying drawings: See also Figure 1 The present invention provides a distribution transformer evaluation method based on a directed graph, comprising: Step 1: Establish quantitative indicators for distribution transformer suppliers; Specifically, the quantitative indicators of distribution transformer suppliers include the quantitative indicators of component materials of distribution transformer suppliers and the quantitative indicators of process of distribution transformer suppliers; The quantitative indicators of the distribution transformer supplier's component materials include iron core, electromagnetic wire, insulating oil, fan, pressure relief valve, bushing, tap changer, temperature control equipment and oil storage cabinet; Among them, they specifically include the thickness of the core silicon steel sheet, silicon steel sheet loss, orientation / non-orientation, cold rolling / hot rolling, magnetic properties, etc., the heat resistance grade of the electromagnetic wire, the material of the insulation layer, the shape of the electromagnetic wire, the solidification point of the insulating oil, the bushing insulation, the bushing structure, the tap changer type, the fan size, the impeller diameter, the wind direction, etc.

[0023] The component materials consider three key component materials: iron core, electromagnetic wire and insulating oil, and five other component materials: tap changer, pressure relief valve, insulator, oil tank and temperature control equipment; by investigating the parameters of key component materials and other component materials selected for distribution transformers and the level of manufacturers, they are classified into three categories: well-known, medium and general.

[0024] The quantitative process indicators of the distribution transformer supplier include coil winding process, core shearing process, coil pressing and drying process, core stacking process, coil curing process, vacuum oil injection process, body drying process and general assembly process. Among them, the core shearing process involves core rolling shearing process, etc.; the coil winding process involves low-voltage coil foil winding process, multi-layer cylindrical high-voltage coil winding process, etc.; the vacuum oil injection process involves vacuum oil filtration, oil tank negative pressure leak test and vacuum oil injection, etc.; the body drying process involves drying furnace and other equipment to reduce the moisture content of insulating materials, etc.

[0025] Step 2: Based on the multi-dimensional component material supply relationship between suppliers, a directed graph of the supply chain of the distribution transformer supplier group is constructed; Specifically, based on the multi-dimensional component material supply relationship between suppliers, the steps of establishing a directed graph of the supply chain of the distribution transformer supplier group are as follows: By using the Neo4j graph database, each node is set as a transformer manufacturer. The connection between the nodes, that is, the edge, represents the supply relationship between the transformer manufacturers, and the direction of the edge represents the flow of supply.

[0026] Among them, if node A represents a component supplier and node B represents a transformer manufacturer, then the edge from A to B means that A supplies components to B.

[0027] The types of nodes include transformer suppliers, suppliers that provide components, and suppliers that have transformers and provide components.

[0028] The Neo4j graph database is used to transform the complex transformer supply chain into a dynamic, interactive graph, where new nodes and edges can be easily added during use, supply relationships can be updated in real time, and various supply chain scenarios can be simulated, such as changing suppliers or introducing new supply paths.

[0029] Step 3: Based on the directed graph of the supply chain of the distribution transformer supplier group, a graph feature dimension is constructed to quantify the multi-dimensional attributes of suppliers and the supply chain relationship; Specifically, based on the directed graph of the supply chain of the distribution transformer supplier group, in the step of constructing graph feature dimensions to quantify the multi-dimensional attributes of suppliers and supply chain relationships, the graph feature dimensions include degree centrality, betweenness centrality and eigenvector centrality.

[0030] Among them, based on the directed graph of the distribution transformer supplier group supply chain, graph theory analysis is performed through the call of the database in Neo4j to comprehensively evaluate the importance of each node in the supply chain and the complex relationship between them. The multi-dimensional attributes and supply chain relationships of suppliers are analyzed based on characteristics such as degree centrality, betweenness centrality and eigenvector centrality, and the distribution transformer supplier graph feature data is generated to improve the comprehensiveness of the distribution transformer supplier evaluation.

[0031] Specifically, based on the directed graph of the supply chain of the distribution transformer supplier group, in the step of constructing a graph feature dimension to quantify the multi-dimensional attributes of the supplier and the supply chain relationship, the quantification process of the multi-dimensional attributes of the supplier and the supply chain relationship through the graph feature dimension is as follows: The degree centrality is set as the number of edges connected to any node. In the directed graph of the supply chain of the distribution transformer supplier group, two degree centrality measures are set, which are inflow and outflow. The larger the node degree of a node, the greater the activity, and the expression is as follows;

[0032] in, represents degree centrality, represents node i, Indicates the number of edges connected to the i-node.

[0033] Betweenness centrality evaluates a node's influence and control in the network by calculating the number of times a node appears on the shortest path between other pairs of nodes, and identifies nodes that play a key role in the structure and function of the entire network. The expression is as follows:

[0034] Among them, sd(j,i,k) means that the shortest path from j to k passes through i, that is, i is on the shortest path from j to k.

[0035] Betweenness centrality measures the extent to which a node can become an "intermediary", that is, the extent to which it controls others, thereby characterizing the importance of the node. It facilitates the role of nodes in information transmission and resource flow, and identifies those nodes that play a key role in the structure and function of the entire network. If a node is between multiple nodes, it can be considered that the node plays an important "intermediary" role, and the person in this position can control the transmission of information and influence the group.

[0036] The eigenvector centrality reflects the contribution of the node to the entire network, and the expression is as follows:.

[0037]

[0038] Among them, Indicates the importance of the node. is the proportionality constant.

[0039] Eigenvector centrality indicates that the importance of a node depends on both the number of its neighbor nodes (i.e., the degree of the node) and the importance of its neighbor nodes, taking into account the degree of the node itself and the importance of the neighbor nodes. If a node is connected to other nodes of high importance, it will also have a high eigenvector centrality. When analyzing the pros and cons of supplier nodes, they are also subject to the influence of neighbor nodes and component material suppliers. Eigenvector centrality makes it easier to take into account the influence of neighbor nodes and component material suppliers.

[0040] Step 4: Evaluate the distribution transformers based on the quantitative indicators of the distribution transformer suppliers using the graph feature dimension.

[0041] Specifically, in the step of evaluating the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph characteristics, the quantitative indicators of the component materials and processes of the distribution transformer are analyzed, the transformer is scored and evaluated according to the quality of the component materials and the level of the process, and the evaluation results are obtained.

[0042] Different components need to pay attention to different evaluation items when assigning points. For example, when evaluating silicon steel core, the main consideration is its magnetic properties and low loss, and more weight is assigned to these two items; when evaluating amorphous alloy core, the main consideration is its no-load loss, and more weight is assigned to this item; when evaluating electromagnetic wire, the main consideration is its heat resistance level and insulation layer material; when evaluating bushing, the main consideration is its insulation performance, etc. The importance of this supplier in the industry is analyzed by the calculated three graph characteristic indicators. The higher these three indicators are, the more important the supplier is. Combined with the above two dimensions, a comprehensive evaluation of the supplier's ability level is conducted; the distribution transformer of the present invention belongs to a new energy-efficient transformer that meets the new national standards.

[0043] Example 1 This embodiment provides a distribution transformer evaluation method based on a directed graph, and the specific process is as follows: S1. Establish quantitative indicators for the component materials of distribution transformer suppliers, where the quantitative indicators are comprehensive material performance indicators such as the magnetic properties of the core, the heat resistance grade of the electromagnetic wire, and the insulation performance of the bushing.

[0044] The specific process is: Component materials consider three key component materials: iron core, electromagnetic wire and insulating oil, and five other component materials: tap changer, pressure relief valve, insulator, oil tank and temperature control equipment; by investigating the parameters of key component materials and other component materials selected for distribution transformers and the level of manufacturers, they are classified into three categories: well-known, medium and general; taking the evaluation of component materials of some suppliers as an example, different components of different manufacturers are evaluated, and the specific evaluation results are shown in Table 1.

[0045] Table 1 Evaluation table of component materials of some suppliers

[0046] S2. Establish quantitative indicators for the process of distribution transformer suppliers, including coil winding process, core shearing process, coil pressing and drying process, core stacking process, coil curing process, vacuum oil injection process, body drying process, general assembly process, etc. The specific process is as follows: The processes used in different transformers produced by different manufacturers with high component scores are evaluated. Through a comprehensive analysis of the data of 640 suppliers, the suppliers can be divided into four categories: dry silicon steel sheet transformer manufacturers, dry amorphous alloy transformer manufacturers, oil-immersed silicon steel sheet transformer manufacturers, and oil-immersed amorphous alloy transformer manufacturers. When making a horizontal comparison and scoring of various manufacturers, it is necessary to focus on the main materials and processes, and analyze the situation of key component material manufacturers in the supplier group. The process level is quantified into 0, 1, 2, and 3 points. The process scores of some suppliers are shown in Table 2.

[0047] Table 2 Process rating table for some suppliers

[0048] S3. Considering the multi-dimensional component material supply relationship between suppliers, a directed graph of the supply chain of distribution transformer suppliers is established with suppliers and attribute values ​​as nodes and attributes and the component material supply relationship between suppliers as edges. The specific process is as follows: Before building the relationship graph, we first conduct a detailed investigation, and based on the results of the investigation, we list 249 manufacturers that are directly related to transformer production, and organize their detailed information into a standardized csv file. Different manufacturers play different roles in the supply chain, including pure transformer suppliers, suppliers that specialize in providing components, and manufacturers that have both functions. These three types of manufacturers are defined as three different node types in the graph database. When using the Neo4j graph database to build a directed graph of the supplier relationship chain, each node represents a transformer manufacturer, and the lines (edges) between the nodes represent the supply relationship between them. According to Figure 2 As shown in the figure, there is a directed graph of some distribution transformer suppliers. The circles in the figure represent manufacturer nodes, the edges represent supply relationships, and the direction of the edges indicates the direction of the supply flow.

[0049] S4. Based on the constructed distribution transformer supplier group supply chain directed graph, establish graph features such as degree centrality, betweenness centrality and eigenvector centrality to quantify the multi-dimensional attributes of suppliers and supply chain relationships. The specific steps are: Through the call of Neo4j database, graph theory analysis is performed to comprehensively evaluate the importance of each node in the supply chain and the complex relationships between them. The multi-dimensional attributes and supply chain relationships of suppliers are analyzed based on characteristics such as degree centrality, betweenness centrality and eigenvector centrality, and distribution transformer supplier graph feature data is generated to improve the comprehensiveness of distribution transformer supplier evaluation.

[0050] Compute degree centrality:

[0051] In the formula: represents degree centrality, represents node i, Indicates the number of edges connected to the i-node.

[0052] Calculate betweenness centrality:

[0053] Among them, sd(j,i,k) means that the shortest path from j to k passes through i, that is, i is on the shortest path from j to k.

[0054] Compute eigenvector centrality:

[0055] In the formula: Indicates the importance of the node. is the proportionality constant.

[0056] The GDS (Graph Data Science) library in the Neo4j graph database is called to calculate and evaluate the three centrality indicators of each node in the graph, which represents different transformer manufacturers, as shown in Table 3 below.

[0057] Table 3 Some supplier centrality indicators

[0058] S5. Based on the established quantitative indicators of distribution transformer supplier component materials and processes and the established graph centrality indicators, the suppliers are scored and evaluated, and the role and capability level of the suppliers in the industry are comprehensively judged from the above three dimensions; The specific process is as follows: According to the different importance of materials in different components, different evaluation items are emphasized when evaluating different components. For example, when evaluating silicon steel sheet core, its magnetic properties and low loss are mainly considered, and more weight is assigned to these two items; when evaluating amorphous alloy core, its no-load loss is mainly considered, and more weight is assigned to this item; when evaluating electromagnetic wire, its heat resistance grade and insulation layer material are mainly considered; when evaluating bushing, its insulation performance is mainly considered, etc., combined with the distribution transformer component materials and process indicators quantified in the previous article, and considering the importance of suppliers in the industry and the role they play reflected by the degree centrality, betweenness centrality and eigenvector centrality calculated in the previous article, a comprehensive evaluation of their ability level is conducted. Table 4 is the evaluation of some oil-immersed silicon steel sheet manufacturers in the example.

[0059] Table 4 Evaluation of some oil-immersed silicon steel sheet manufacturers

[0060] In summary, the present invention provides an evaluation method for distribution transformers based on directed graphs. By establishing detailed component material quantitative indicators and process quantitative indicators, the method can comprehensively cover the key evaluation factors of distribution transformer suppliers. This includes quantitative evaluation of core component materials such as iron core, electromagnetic wire, insulating oil, and key processes such as coil winding process and core shearing process, thereby ensuring the accuracy and pertinence of the evaluation. A directed graph model is introduced, the multi-dimensional component material supply relationship between suppliers is considered, and a directed graph of the supplier group supply chain is constructed. This step not only focuses on the performance of a single supplier, but also places it in the entire supply chain network for analysis, so as to more accurately reflect the role and status of the supplier in the industry. Combined with the component material quantitative indicators, process quantitative indicators and graph centrality indicators, the method can score and evaluate suppliers. This comprehensive evaluation method can comprehensively reflect the supplier's ability level, including product quality, production efficiency, supply chain management capabilities and other aspects, thereby providing strong support for enterprises to select suitable suppliers.

[0061] Example 2 This embodiment provides a distribution transformer evaluation system based on a directed graph, including: Index quantification module 1, used to establish quantitative indicators for distribution transformer suppliers; A graph construction module 2 is used to construct a directed graph of the supply chain of a distribution transformer supplier group based on the multi-dimensional component material supply relationship between suppliers; A graph feature dimension construction module 3 is used to construct a graph feature dimension to quantify the multi-dimensional attributes and supply chain relationships of suppliers based on a directed graph of the supply chain of a distribution transformer supplier group; Evaluation module 4 is used to evaluate the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph characteristics.

[0062] Example 3 The present invention also provides a mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, such as an evaluation program for distribution transformers based on a directed graph.

[0063] When the processor executes the computer program, the steps of the above-mentioned distribution transformer evaluation method based on the directed graph are implemented, for example: Establish quantitative indicators for distribution transformer suppliers; Based on the multi-dimensional component material supply relationship between suppliers, a directed graph of the supply chain of distribution transformer suppliers is constructed; Based on the directed graph of the distribution transformer supplier group supply chain, the graph feature dimension is constructed to quantify the multi-dimensional attributes of suppliers and supply chain relationships; The distribution transformers are evaluated based on the quantitative indicators of distribution transformer suppliers and the graphical feature dimensions.

[0064] Alternatively, when the processor executes the computer program, the functions of each module in the above system are realized, for example: Index quantification module 1, used to establish quantitative indicators for distribution transformer suppliers; A graph construction module 2 is used to construct a directed graph of the supply chain of a distribution transformer supplier group based on the multi-dimensional component material supply relationship between suppliers; A graph feature dimension construction module 3 is used to construct a graph feature dimension to quantify the multi-dimensional attributes and supply chain relationships of suppliers based on a directed graph of the supply chain of a distribution transformer supplier group; Evaluation module 4 is used to evaluate the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph characteristics.

[0065] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the mobile terminal.

[0066] For example, the computer program may be divided into an indicator quantification module 1, a graph composition module 2, a graph feature dimension construction module 3, and an evaluation module 4; The specific functions of each module are as follows: Index quantification module 1, used to establish quantitative indicators for distribution transformer suppliers; A graph construction module 2 is used to construct a directed graph of the supply chain of a distribution transformer supplier group based on the multi-dimensional component material supply relationship between suppliers; A graph feature dimension construction module 3 is used to construct a graph feature dimension to quantify the multi-dimensional attributes and supply chain relationships of suppliers based on a directed graph of the supply chain of a distribution transformer supplier group; Evaluation module 4 is used to evaluate the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph characteristics.

[0067] The mobile terminal may be a computing device such as a desktop computer, a notebook, a palm computer, a cloud server, etc. The mobile terminal may include, but is not limited to, a processor and a memory.

[0068] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the mobile terminal, and uses various interfaces and lines to connect various parts of the entire mobile terminal.

[0069] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the mobile terminal by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0070] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0071] Example 4 The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the evaluation method for distribution transformers based on a directed graph are implemented.

[0072] If the module / unit integrated in the mobile terminal is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0073] Based on this understanding, the present invention implements all or part of the processes in the above method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned aggregate reinforcement learning resource scheduling method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

[0074] The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0075] It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0076] 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, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A distribution transformer evaluation method based on a directed graph, characterized in that: include Establish quantitative indicators for distribution transformer suppliers; Based on the multi-dimensional component material supply relationship between suppliers, a directed graph of the supply chain of distribution transformer suppliers is constructed; Based on the directed graph of the distribution transformer supplier group supply chain, the graph feature dimension is constructed to quantify the multi-dimensional attributes of suppliers and supply chain relationships; The distribution transformers are evaluated based on the quantitative indicators of distribution transformer suppliers and the graphical feature dimensions.

2. The evaluation method for distribution transformer based on directed graph according to claim 1 is characterized in that: The distribution transformer supplier quantitative indicators include the distribution transformer supplier component material quantitative indicators and the distribution transformer supplier process quantitative indicators; The quantitative indicators of the distribution transformer supplier's component materials include iron core, electromagnetic wire, insulating oil, fan, pressure relief valve, bushing, tap changer, temperature control equipment and oil storage cabinet; The distribution transformer supplier's process quantitative indicators include coil winding process, core shearing process, coil pressing and drying process, core stacking process, coil curing process, vacuum oil injection process, body drying process and final assembly process.

3. The evaluation method for distribution transformer based on directed graph according to claim 1 is characterized in that: In the step of establishing a directed graph of the supply chain of a distribution transformer supplier group based on the multi-dimensional component material supply relationship between suppliers, the specific process is as follows: By using the Neo4j graph database, each node is set as a transformer manufacturer. The connection between the nodes, that is, the edge, represents the supply relationship between the transformer manufacturers, and the direction of the edge represents the flow of supply.

4. The evaluation method for distribution transformer based on directed graph according to claim 1, characterized in that: The types of nodes include transformer suppliers, suppliers that provide components, and suppliers that have transformers and provide components.

5. The evaluation method for distribution transformer based on directed graph according to claim 1, characterized in that: In the step of constructing graph feature dimensions to quantify multi-dimensional attributes of suppliers and supply chain relationships based on the directed graph of the distribution transformer supplier group supply chain, the graph feature dimensions include degree centrality, betweenness centrality and eigenvector centrality.

6. The evaluation method for distribution transformer based on directed graph according to claim 5, characterized in that: In the step of constructing a graph feature dimension to quantify the multi-dimensional attributes and supply chain relationships of suppliers based on the directed graph of the distribution transformer supplier group supply chain, the quantification process of the multi-dimensional attributes and supply chain relationships of suppliers through the graph feature dimension is as follows: The degree centrality is set as the number of edges connected to any node. In the directed graph of the supply chain of the distribution transformer supplier group, two degree centrality measures are set, which are inflow and outflow. The larger the node degree of a node, the greater the activity, and the expression is as follows; in, represents degree centrality, represents node i, Indicates the number of edges connected to the i-node; Betweenness centrality evaluates a node's influence and control in the network by calculating the number of times a node appears on the shortest path between other pairs of nodes, and identifies nodes that play a key role in the structure and function of the entire network. The expression is as follows: Among them, sd(j,i,k) means that the shortest path from j to k passes through i, that is, i is on the shortest path from j to k; The eigenvector centrality reflects the contribution of the node to the entire network, and the expression is as follows: Among them, Indicates the importance of the node. is the proportionality constant.

7. The evaluation method for distribution transformer based on directed graph according to claim 1, characterized in that: In the step of evaluating the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph features, the quantitative indicators of the component materials and processes of the distribution transformer are analyzed, the transformer is scored and evaluated according to the quality of the component materials and the level of the process, and the evaluation results are obtained.

8. An evaluation system for distribution transformers based on directed graphs, characterized in that: include: Index quantification module, used to establish quantitative indicators for distribution transformer suppliers; A graph construction module is used to construct a directed graph of the supply chain of distribution transformer suppliers based on the multi-dimensional component material supply relationship between suppliers; A graph feature dimension construction module is used to construct a graph feature dimension to quantify the multi-dimensional attributes of suppliers and supply chain relationships based on the directed graph of the distribution transformer supplier group supply chain; The evaluation module is used to evaluate the distribution transformer according to the quantitative indicators of the distribution transformer supplier in the dimension of graph features.

9. A mobile terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the evaluation method for distribution transformers based on a directed graph as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the evaluation method for distribution transformers based on a directed graph as claimed in any one of claims 1 to 7 are implemented.

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