CN115423650A - Full-chain data sharing method and system of power material supply chain based on data processing - Google Patents

Abstract

The present invention provides a data processing-based data sharing method and system for the whole chain of electric power material supply chain, including: counting all necessary supply chain nodes to generate a set of necessary supply nodes corresponding to the preset supply chain, and counting all non-essential supply The chain node generates a non-essential supply node set corresponding to the preset supply chain; receives the supply chain data sent by the first supply end to the corresponding power material, and the supply chain data includes the first supplier information corresponding to the first supply end, and each The second supplier information corresponding to each component of the power material; fill and integrate all the first supplier information and the second supplier information into the corresponding supply chain node; according to the preset selection strategy, the identity The identification is shared with the corresponding first supply end or second supply end, the evaluation coefficient of the electric power material is generated according to the feedback information of the first supply end or the second supply end, and the remark information is added to the corresponding electric power material according to the evaluation coefficient.

Description

Data processing-based data sharing method and system for the whole chain of power material supply chain

technical field

The invention relates to the technical field of data processing, in particular to a data processing-based data sharing method and system for the entire supply chain of electric power materials.

Background technique

Supply chain (Supply chain) refers to the network chain structure formed by the upstream and downstream enterprises involved in the activities of providing products or services to end users during the production and circulation process, that is, the entire chain that sends products from merchants to consumers.

In the existing technology, the data integration requirements for the integration of the entire material supply chain can only achieve the connection and traceability between the direct upstream and the direct downstream. Once a product has a problem, it can only be traced to the direct upstream. The whole chain nodes cannot realize the traceability of the whole process, and cannot realize the integrated integration, integration and governance of the whole chain data.

Contents of the invention

The embodiment of the present invention provides a data processing-based full-chain data sharing method of the power material supply chain and a system-based data-processing-based full-chain data sharing method of the power material supply chain, which can trace the source of the whole process of the full-chain nodes of the product, and at the same time carry out with The data exchange between nodes can evaluate the product according to the traceability results, and realize the integrated integration, fusion and governance of the whole chain data.

In the first aspect of the embodiments of the present invention, a data processing-based full-chain data sharing method of the power material supply chain is provided, including:

S1, the server generates a corresponding preset supply chain according to the material label of the power material, and the preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes, Each supply chain node corresponds to a device and/or part;

S2, counting all necessary supply chain nodes to generate a necessary supply node set corresponding to the preset supply chain, and counting all non-essential supply chain nodes to generate a non-essential supply node set corresponding to the preset supply chain;

S3. Receive the supply chain data sent by the first supply end to the corresponding power material, the supply chain data includes the first supplier information corresponding to the first supply end, and the second supplier information corresponding to each component of each power material supplier information;

S4, filling and merging all the first supplier information and the second supplier information into the corresponding supply chain nodes, and judging that all necessary supply chain nodes are filled with the corresponding first supplier information and/or the second supplier information After the second supplier information, select each one to fill in the first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information;

S5. According to the preset selection strategy, select multiple supply chain nodes from the set of necessary supply nodes and the set of non-essential supply nodes, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain nodes, and share the identity to the corresponding The corresponding first supply end or second supply end generates an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and adds remark information to the corresponding electric power material according to the evaluation coefficient.

Optionally, the S1 includes:

The server extracts the material tags of the stored power materials, compares the material types corresponding to the material tags with the preset material correspondence table, and determines the preset supply chain corresponding to the material tags. Each material tag has a corresponding Preset supply chain with corresponding settings in advance;

The node label corresponding to each supply chain node is extracted, the node label includes a necessary node label and a non-essential node label, and the supply chain node is divided into a necessary supply chain node and a non-essential supply chain node according to the node label.

Optionally, generate a preset supply chain through the following steps, including:

Receive the power material configuration data input by the administrator, the power material configuration data includes the equipment and/or parts corresponding to each power material, and the inclusion relationship between equipment and parts, and parts and parts;

Establish a supply chain node corresponding to each equipment and/or part, and determine the level number corresponding to each supply chain node according to the inclusion relationship between equipment and parts, parts and parts;

Connect all supply chain nodes according to the level number corresponding to each supply chain node to generate a corresponding preset supply chain, and display the generated preset supply chain;

Receive the necessary node configuration data input by the administrator, the necessary node configuration data includes the level number as the necessary supply chain node, add a necessary node label to the supply chain node with the configured level number, and add a label to the supply chain node without the configured level number Node labels are not required.

Optionally, receiving the necessary node configuration data input by the administrator, the necessary node configuration data includes the level number as a necessary supply chain node, adding a necessary node label to the supply chain node with the configured level number, and adding a necessary node label to the unconfigured level Numbered supply chain nodes add non-essential node labels, including:

Determine the necessary supply chain nodes in the preset supply chain according to the level numbers of the necessary supply chain nodes, and extract the level numbers of all non-essential supply chain nodes directly connected to the determined necessary supply chain nodes as the level numbers to be compared;

If it is judged that the level number of the level number to be compared is lower than the level number of the corresponding necessary supply chain node, then the non-essential supply chain node corresponding to the level number to be compared is converted into a necessary supply chain node;

If it is determined that the level number of the level number to be compared is not lower than the level number of the corresponding necessary supply chain node, then the non-essential supply chain node corresponding to the level number to be compared is reserved.

Optionally, the S4 includes:

filling and merging the first supplier information into the supply chain node of its corresponding equipment, filling and merging the second supplier information into the supply chain node of its corresponding parts;

After judging that all the first supplier information and the second supplier information in the supply chain data are respectively filled in the corresponding supply chain nodes, then lock the necessary supply chain nodes in the preset supply chain;

After judging that all necessary supply chain nodes are filled with corresponding first supplier information and/or second supplier information, select the first supplier of all necessary supply chain nodes and non-essential supply chain nodes in the preset supply chain The first supplier or the second supplier corresponding to the information or the second supplier information.

Optionally, the S5 includes:

Select all the supply chain nodes in the necessary supply node set, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain node, and share the identity with the corresponding first or second supply end;

Determine the number of all supply chain nodes in the set of necessary supply nodes to obtain the number of necessary nodes, the number of all supply chain nodes in the set of non-essential supply nodes to obtain the number of non-essential nodes, and compare the number of necessary nodes with the number of preset nodes For the obtained node quantity offset coefficient, calculate according to the node quantity offset coefficient and the number of non-essential nodes to obtain the selected quantity of non-essential nodes;

Randomly select multiple supply chain nodes corresponding to the selected number of unnecessary nodes in the non-essential supply node set, extract the identity of the equipment and/or parts corresponding to the randomly selected supply chain nodes, and share the identity to the corresponding the first supply or the second supply;

Count all the feedback information sent by the first supply end or the second supply end, generate an evaluation coefficient for the electric power material according to all the feedback information, and add remark information to the corresponding electric power material according to the evaluation coefficient.

Optionally, determining the number of all supply chain nodes in the set of necessary supply nodes to obtain the number of necessary nodes, the number of all supply chain nodes in the set of non-essential supply nodes to obtain the number of non-essential nodes, and combining the number of necessary nodes with The number of preset nodes is compared to obtain the offset coefficient of the number of nodes, and the calculation is performed according to the offset coefficient of the number of nodes and the number of non-essential nodes to obtain the number of selected non-essential nodes, including:

The difference between the number of necessary nodes and the number of preset nodes is made, and the weighted calculation is performed to obtain the offset coefficient of the number of nodes. The number of first offset nodes is calculated according to the offset coefficient of the number of nodes and the number of non-essential nodes. The second offset node is calculated by the following formula a number of offset nodes,

为第一偏移节点数量，

为必要节点数量，

为预设节点数量，

为数量归一化值，

为数量权重值，

为第一常数值，

为非必要节点数量，

为预设系数值； in,

is the number of first offset nodes,

is the necessary number of nodes,

is the preset number of nodes,

is the quantity normalized value,

is the quantity weight value,

is the first constant value,

is the number of unnecessary nodes,

is the default coefficient value;

Integerize the number of first offset nodes, and if it is judged that the number of first offset nodes is greater than or equal to the minimum number, then use the number of first offset nodes after integerization as the number of unnecessary node selections;

If it is judged that the number of first offset nodes is less than the minimum number, the minimum number is taken as the number of unnecessary node selections.

Optionally, counting the feedback information sent by all the first supply end or the second supply end, generating an evaluation coefficient for the electric power material according to all the feedback information, and adding remark information to the corresponding electric power material according to the evaluation coefficient, include:

Classifying the feedback information sent by the first supply end or the second supply end to obtain normal feedback information and abnormal feedback information respectively sent by the first supply end or the second supply end;

Counting the number of normal feedback information sent by the supply chain nodes in the necessary supply node set to obtain the first normal number, and the number of abnormal feedback information to obtain the first abnormal number;

Counting the number of normal feedback information sent by the supply chain nodes in the non-essential supply node set to obtain the second normal number, and the number of abnormal feedback information to obtain the second abnormal number;

Calculate according to the first normal quantity, the first abnormal quantity, the second normal quantity, and the second abnormal quantity to generate a first evaluation coefficient for electric power materials, and calculate the first evaluation coefficient for electric power materials by the following formula,

为第一评价系数，

为第一正常数量，

为第一异常数量，

正常权 重，

为异常权重，

为第一梯度系数，

为第二正常数量，

为第二异常数量，

为 第二梯度系数。 in,

is the first evaluation coefficient,

is the first normal quantity,

is the number of first anomalies,

normal weight,

is the abnormal weight,

is the first gradient coefficient,

is the second normal quantity,

is the second outlier number,

is the second gradient coefficient.

Optionally, also include:

Count the number of unsent feedbacks from the corresponding first or second suppliers in the set of necessary supply nodes to obtain the first unfeedback number, and count the unsent feedbacks from the corresponding first or second suppliers in the set of non-essential supply nodes The quantity obtained is the second unfeedback quantity;

Calculate and generate the second evaluation coefficient according to the first evaluation coefficient, the first non-feedback quantity, and the second non-feedback quantity, and calculate the second evaluation coefficient of the electric power material by the following formula,

为第二评价系数，

为系数归一化值，

为第二常数值，

为第一未 反馈数量，

为第一未反馈权重，

为第二未反馈数量，

为第二未反馈权重。 in,

is the second evaluation coefficient,

is the normalized value of the coefficient,

is the second constant value,

is the first unfeedback quantity,

is the first unfeedback weight,

is the second unfeedback quantity,

is the second unfeedback weight.

Optionally, if the first evaluation coefficient is greater than or equal to the first standard coefficient, normal remark information is added to the electric power material, and if the first evaluation coefficient is smaller than the first standard coefficient, abnormal remark information is added to the electric power material ;or

If the second evaluation coefficient is greater than or equal to the second standard coefficient, normal remark information is added to the electric material, and if the second evaluation coefficient is smaller than the second standard coefficient, abnormal remark information is added to the electric material.

According to the second aspect of the embodiments of the present invention, a data processing-based full-chain data sharing system for the power material supply chain is provided, including:

The node module is used for the server to generate a corresponding preset supply chain according to the material label of the power material, and the preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes Chain nodes, each supply chain node corresponds to a device and/or part;

A classification module for counting all necessary supply chain nodes to generate a set of necessary supply nodes corresponding to the preset supply chain, and counting all non-essential supply chain nodes to generate a set of non-essential supply nodes corresponding to the preset supply chain;

The receiving module is configured to receive the supply chain data sent by the first supply end to the corresponding power material, the supply chain data includes the first supplier information corresponding to the first supply end, and the information corresponding to each component of each power material The second supplier information;

The binding module is used to fill and integrate all the first supplier information and the second supplier information into the corresponding supply chain nodes, and determine that all necessary supply chain nodes are filled with the corresponding first supplier information And/or after the second supplier information, select each one to fill in the first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information;

The verification module is used to select a plurality of supply chain nodes in the set of necessary supply nodes and the set of non-essential supply nodes according to the preset selection strategy, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain node, and set the identity Shared to the corresponding first supply end or second supply end, generate an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and add remark information to the corresponding electric power material according to the evaluation coefficient.

The third aspect of the embodiments of the present invention provides a storage medium, in which a computer program is stored, and when the computer program is executed by a processor, it is used to realize the first aspect of the present invention and various possible designs of the first aspect of the described method.

1. This program will count the multiple levels of supply chain nodes of the preset supply chain corresponding to the power materials, and then classify the multiple levels of supply chain nodes, process binding supplier information, and select processes, and finally realize the corresponding The retrospective verification of the nodes, and the use of the feedback information generated by the data exchange to evaluate the power materials to judge the safety and stability of the power material circulation process. The present invention faces the data integration requirements of the whole chain fusion of the material supply chain, constructs the whole chain data sharing and data exchange, can trace the source of the whole chain nodes of the product in the whole process, and perform data exchange with the nodes at the same time, and can be based on The traceability results evaluate the product and realize the integrated integration, integration and governance of the whole chain data.

2. When building a preset supply chain in this scheme, multiple levels of supply chain nodes and the level numbers of multiple levels of supply chain nodes will be obtained through manual interaction, and the level numbers will be processed at the same time, and the supply chain nodes will be It is divided into necessary node labels and non-essential node labels to realize the classification of supply chain nodes. In addition, this scheme also uses the inclusion relationship between the level numbers to traverse and verify the classified nodes to ensure that the classification is accurate and to improve the accuracy of subsequent traceability verification. When verifying and selecting nodes in this scheme, it will be selected in different ways according to different node types. For necessary nodes, since it often seriously affects the quality of power supplies, this scheme will use all selection methods for selection ; For non-essential nodes, since they often do not seriously affect the quality of power supplies, this program will use partial selection to select them. In the process, multi-dimensional data such as the total number of necessary nodes and the total number of non-essential nodes will be combined Through comprehensive calculation, the number of first offset nodes is obtained, combined with the minimum number to determine the final number of non-essential nodes selected, and the number of different numbers of non-essential nodes is determined according to the number of selected necessary nodes, so as to use limited verification resources to make The verification results are optimized.

3. In the process of evaluating power materials in combination with feedback information, this program will separately calculate the necessary node dimensions and non-essential node dimensions to obtain the sub-coefficients of the corresponding dimensions, and then integrate the sub-coefficients of the two dimensions to obtain the evaluation coefficient ; Among them, when calculating each sub-coefficient, a comprehensive calculation will be carried out according to two aspects of each dimension, one is the number of normal feedback, and the other is the number of abnormal feedback. Through the above method, a relatively accurate evaluation coefficient can be obtained ; In addition, this scheme also considers that some nodes may not feed back information, which will affect the overall calculation. At this time, this scheme will count the corresponding first supply end or second supply end in the set of necessary supply nodes that have not sent feedback The number of non-essential supply nodes is calculated to obtain the first non-feedback quantity, and the number of non-essential supply nodes corresponding to the first supply end or the second supply end that has not sent feedback is obtained to obtain the second non-feedback quantity, and the evaluation coefficient is adjusted again to obtain a more accurate Evaluation coefficient, so as to evaluate the power materials more objectively.

Description of drawings

Fig. 1 is a schematic flow diagram of an embodiment of the present invention providing a data-processing-based full-chain data sharing method for power material supply chains;

Fig. 2 is a schematic structural diagram of the whole-chain data sharing system of the power material supply chain based on data processing provided by the present invention.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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 It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein.

It should be understood that in various embodiments of the present invention, the sequence numbers of the processes do not mean the order of execution, and the execution order of the processes should be determined by their functions and internal logic, rather than by the implementation order of the embodiments of the present invention. The implementation process constitutes no limitation.

It should be understood that in the present invention, "comprising" and "having" and any variations thereof are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to Those steps or elements are not explicitly listed, but may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

It should be understood that in the present invention, "plurality" means two or more. "And/or" is just an association relationship describing associated objects, which means that there can be three kinds of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone. Condition. The character "/" generally indicates that the contextual objects are an "or" relationship. "Includes A, B and C", "Includes A, B, C" means that A, B, and C are all included, "includes A, B, or C" means includes one of A, B, and C, "Containing A, B and/or C" means containing any 1 or any 2 or 3 of A, B and C.

It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponding to B" or "B corresponding to A" means that B is associated with A, and according to A It is possible to determine B. Determining B from A does not mean determining B from A alone, B can also be determined from A and/or other information. The matching between A and B means that the similarity between A and B is greater than or equal to a preset threshold.

Depending on the context, "if" as used herein may be interpreted as "at" or "when" or "in response to determining" or "in response to detecting".

The technical solution of the present invention will be described in detail below with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

Referring to Fig. 1 , it is a schematic flowchart of a data processing-based full-chain data sharing method for power material supply chains provided by an embodiment of the present invention. The full-chain data fusion and sharing method for power material supply chains based on data processing includes S1-S5:

S1, the server generates a corresponding preset supply chain according to the material label of the power material, and the preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes, Each supply chain node corresponds to a device and/or part.

First of all, this scheme will use the material labels of power materials to generate corresponding preset supply chains. The preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes. Each supply chain node corresponds to a device and/or part.

Wherein, the power materials are, for example, electrical equipment such as transformers and cables, and the material labels are, for example, labels corresponding to electrical equipment such as transformers and cables, and there is a one-to-one correspondence between the material labels and the electrical materials.

It is understandable that a power equipment is often produced through the combination of multiple manufacturers. For example, company A provides component 1, company B provides component 2, and company C combines component 1 and component 2 to form the final product. transformer equipment. Among them, Company A, Company B and Company C are the supply chain nodes mentioned above.

It should be noted that the supply chain nodes of this scheme include necessary supply chain nodes and non-essential supply chain nodes, among which, the necessary supply chain nodes are the core components or equipment corresponding to the power equipment, and the non-essential supply chain nodes are the corresponding power equipment non-core components. For example, for a transformer, the power supply, transformer coil, circuit board, etc. are core components, which may correspond to necessary supply chain nodes, while the paint sprayed on the housing is not a core component, which may correspond to non-essential supply chain nodes. chain node. Among them, the necessary supply chain nodes and non-essential supply chain nodes can be set by the staff.

In some embodiments, the S1 includes S11-S12:

S11. The server extracts the material tags of the stored electric materials, compares the material types corresponding to the material tags with the preset material correspondence table, and determines the preset supply chain corresponding to the material tags. Each material tag It has a preset supply chain corresponding to it in advance.

This solution has a preset material correspondence table, which stores the corresponding relationship between the material label and the preset supply chain. To determine the corresponding default supply chain.

S12, extract the node label corresponding to each supply chain node, the node label includes a necessary node label and a non-essential node label, and divide the supply chain node into a necessary supply chain node and a non-essential supply chain according to the node label node.

This scheme sets a corresponding node label for each supply chain node. After determining the preset supply chain corresponding to the power material, this scheme will extract the node label corresponding to each supply chain node, and then supply the supply chain according to the node label. Chain nodes are divided into necessary supply chain nodes and non-essential supply chain nodes.

Among them, the node labels are, for example, B-type labels and F-type labels. For example, if a node’s node labels are B1, B11, B111, etc., then it is a necessary supply chain node; a node’s node labels are F1, F11, F111, etc. etc., then it is a non-essential supply chain node. This solution is only described with the above example, but is not limited to the above method.

Among them, the preset supply chain is generated through the following steps, specifically including A1-A4:

A1, receiving the power material configuration data input by the administrator, the power material configuration data including the equipment and/or parts corresponding to each power material, and the inclusion relationship between equipment and parts, and parts and parts.

The administrator of this solution can input the configuration data of power materials, which is the decomposition data of power materials. Therefore, the configuration data of power materials includes the equipment and/or parts corresponding to each power material, as well as equipment and parts, parts and Containment relationships between parts.

Exemplarily, a power material transformer includes a power supply, a transformer coil, a circuit board, a casing, and a paint layer on the casing, and the transformer coil includes an iron core, a primary coil, a secondary coil, etc., and the transformer includes a power supply, a transformer coil, a circuit Plate, shell, shell paint layer, transformer coil includes iron core, primary coil, secondary coil, shell includes shell paint layer.

A2. Establish a supply chain node corresponding to each equipment and/or part, and determine the level number corresponding to each supply chain node according to the inclusion relationship between equipment and parts, parts and parts.

Exemplarily, the grade number of the transformer is 1; the power supply is 11, the transformer coil is 12, the circuit board is 13, and the casing is 14; the iron core is 121, the primary coil is 122, the secondary coil is 123, and the paint layer of the casing for 141. In this solution, the number corresponding to each supply chain node can be formed according to the inclusion relationship through the above method.

A3. Connect all the supply chain nodes according to the level number corresponding to each supply chain node to generate a corresponding preset supply chain, and display the generated preset supply chain.

After obtaining the number corresponding to each supply chain node, this scheme can use the level number corresponding to each supply chain node to connect all supply chain nodes to generate a corresponding preset supply chain, and the generated preset The supply chain is displayed. For example, it can be displayed in the form of a tree diagram, so that the staff can clearly observe each supply chain node.

A4. Receive the necessary node configuration data input by the administrator, the necessary node configuration data includes the level number as the necessary supply chain node, add the necessary node label to the supply chain node with the configured level number, and add the necessary node label to the supply chain without the configured level number Nodes add non-essential node labels.

This solution can interact with the administrator, receive the necessary node configuration data input by the administrator, and add corresponding necessary node labels to the corresponding supply chain nodes. At the same time, this solution will add unnecessary node labels to supply chain nodes that are not configured with level numbers.

In some embodiments, A4 (receive the necessary node configuration data input by the administrator, the necessary node configuration data includes the level number as the necessary supply chain node, add the necessary node label to the supply chain node with the configured level number, and add the necessary node label to the supply chain node without Supply chain nodes with configuration level numbers add non-essential node labels) including A41-A43:

A41, determine the necessary supply chain nodes in the preset supply chain according to the level numbers of the necessary supply chain nodes, and extract the level numbers of all non-essential supply chain nodes directly connected to the determined necessary supply chain nodes as the level numbers to be compared .

First, this program will determine the necessary supply chain nodes in the preset supply chain according to the level numbers of the necessary supply chain nodes, and then extract the level numbers of all non-essential supply chain nodes directly connected to the determined necessary supply chain nodes as the to-be-compared The level number of the pair.

It should be noted that this solution extracts the level numbers of all non-essential supply chain nodes directly connected to the necessary supply chain nodes, in order to prevent the administrator from missing the label when the necessary supply chain node numbering is performed. The above method can be used for screening Check and sort out.

A42, if it is judged that the level number of the level number to be compared is lower than the level number of the corresponding necessary supply chain node, convert the non-essential supply chain node corresponding to the level number to be compared into a necessary supply chain node.

It is understandable that if it is judged that the level number of the level number to be compared is lower than the level number of the corresponding necessary supply chain node, it means that the level number to be compared is included by the necessary supply chain node. The non-essential supply chain nodes corresponding to the compared level numbers are transformed into necessary supply chain nodes.

Exemplarily, the transformer coil is 12. If the administrator only determines the primary coil 122 and the secondary coil 123 is the necessary supply chain node in the process of determining the necessary supply chain node, but does not determine that the iron core is 121, it is necessary supply chain node. At this time, all non-essential supply chain nodes directly connected to the transformer coil 12 are iron cores 121, and this solution will readjust the iron cores 121 to necessary supply chain nodes, which can prevent the omission of necessary supply chain nodes.

A43, if it is judged that the level number of the level number to be compared is not lower than the level number of the corresponding necessary supply chain node, then the non-essential supply chain node corresponding to the level number to be compared is reserved.

It is understandable that if it is judged that the level number of the level number to be compared is greater than the level number of the corresponding necessary supply chain node, it means that the level number to be compared is not included by the necessary supply chain node. At this time, this solution will The non-essential supply chain nodes corresponding to the level numbers to be compared are reserved.

Exemplarily, the level number to be compared is 5, and the level number of the necessary supply chain node is 51. At this time, the level number of the level number to be compared is not lower than the level number of the corresponding necessary supply chain node. Changing the type of the level number will reserve the non-essential supply chain node corresponding to the level number to be compared.

S2. Count all necessary supply chain nodes to generate a necessary supply node set corresponding to the preset supply chain, and count all non-essential supply chain nodes to generate a non-essential supply node set corresponding to the preset supply chain.

After all necessary supply chain nodes and non-essential supply chain nodes are determined in this program, all necessary supply chain nodes will be counted to generate a set of necessary supply nodes corresponding to the preset supply chain, and all non-essential supply chain nodes will be counted A set of non-essential supply nodes corresponding to the preset supply chain.

S3. Receive the supply chain data sent by the first supply end to the corresponding power material, the supply chain data includes the first supplier information corresponding to the first supply end, and the second supplier information corresponding to each component of each power material supplier information.

Among them, the first supply end can be the supply end corresponding to provide complete equipment, for example, the supply end that provides the overall transformer equipment (such as C manufacturer), the first supply end needs to send the corresponding supply chain data for power materials, and the supply chain data includes The first supplier information corresponding to the first supply end (for example, C manufacturer), and the second supplier information corresponding to each component of each power material (for example, A manufacturer that provides component 1, and supplier A that provides component 2 B manufacturers, etc.).

S4, filling and merging all the first supplier information and the second supplier information into the corresponding supply chain nodes, and judging that all necessary supply chain nodes are filled with the corresponding first supplier information and/or the second supplier information After the second supplier information, select each one to fill in the first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information.

After determining all the first supplier information and the second supplier information, this solution will fill and integrate all the first supplier information and the second supplier information into the corresponding supply chain nodes, and the corresponding The supply chain nodes are bound, and after judging that all necessary supply chain nodes are filled with the corresponding first supplier information and/or second supplier information, select each first supplier corresponding to the first supplier information. terminal or the second supplier corresponding to the second supplier information.

Wherein, the first supply terminal or the second supply terminal can be a computer terminal or a mobile terminal, which can realize information interaction and data processing terminal.

In some embodiments, the S4 includes S41-S43:

S41, filling and merging the information of the first supplier into the supply chain node of the corresponding equipment, and filling and merging the information of the second supplier into the supply chain node of the corresponding part.

This solution will fill and fuse the information of the first supplier into the supply chain node of its corresponding equipment (such as a transformer), and fill and fuse the information of the second supplier into its corresponding parts (such as component 1, component 2, etc. ) within the supply chain node.

S42, after judging that all the first supplier information and the second supplier information in the supply chain data are respectively filled in the corresponding supply chain nodes, lock the necessary supply chain nodes in the preset supply chain.

After confirming that all supply chain nodes have corresponding supplier information, this program will lock the necessary supply chain nodes in the preset supply chain. It is understandable that the necessary supply chain nodes are particularly important nodes, involving power materials Therefore, the necessary supply chain nodes must be verified. This solution will first lock the necessary supply chain nodes.

S43. After judging that all necessary supply chain nodes are filled with corresponding first supplier information and/or second supplier information, select the first supplier of all necessary supply chain nodes and non-essential supply chain nodes in the preset supply chain. The first supplier or the second supplier corresponding to the supplier information or the second supplier information.

After the information is determined, this program will select the first or second supplier corresponding to the first supplier information or the second supplier information of all necessary supply chain nodes and non-essential supply chain nodes in the preset supply chain , ready for information interaction and verification.

S5. According to the preset selection strategy, select multiple supply chain nodes from the set of necessary supply nodes and the set of non-essential supply nodes, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain nodes, and share the identity to the corresponding The corresponding first supply end or second supply end generates an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and adds remark information to the corresponding electric power material according to the evaluation coefficient.

This scheme has a preset selection strategy, which can select multiple supply chain nodes in the set of necessary supply nodes and the set of non-essential supply nodes respectively, and obtain the identity of the equipment and/or parts corresponding to the corresponding supply chain nodes. Among them, the identity For example, it may be the name of the corresponding supplier, and then share the identity with the corresponding first supplier or second supplier.

After receiving the corresponding ID, the first supply end or the second supply end can use the first supply end or the second supply end to input feedback information. This scheme will generate an evaluation coefficient for power materials based on the feedback information, and then according to the evaluation The coefficient adds remark information to the corresponding power material.

In some embodiments, the S5 includes S51-S54:

S51. Select all the supply chain nodes in the necessary supply node set, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain node, and share the identity with the corresponding first supply end or second supply end.

It should be noted that since the necessary supply nodes are particularly important, all necessary supply nodes need to be verified. Therefore, this scheme will select all the supply chain nodes in the necessary supply node set, and then extract the corresponding supply chain nodes. The identity of the corresponding equipment and/or parts is shared with the corresponding first supplier or second supplier, and all supply chain nodes in the set of necessary supply nodes are verified.

S52, determine the number of all supply chain nodes in the set of necessary supply nodes to obtain the number of necessary nodes, the number of all supply chain nodes in the set of non-essential supply nodes to obtain the number of non-essential nodes, and compare the number of necessary nodes with the number of preset nodes The comparison is performed to obtain the offset coefficient of the number of nodes, and calculation is performed according to the offset coefficient of the number of nodes and the number of unnecessary nodes to obtain the selected number of unnecessary nodes.

It should be noted that since the supply chain nodes in the non-essential supply node set are not very important and will not have a serious impact on the quality of power supplies, this scheme will not affect all supply chain nodes in the non-essential supply node set For verification, some supply chain nodes can be selected from the non-essential supply node set for verification. In this manner, limited verification resources can be utilized to achieve maximum verification.

When determining the number of non-essential nodes selected, first, this program will determine the number of all supply chain nodes in the set of necessary supply nodes to obtain the number of necessary nodes, for example, 20, and then determine all supply chain nodes in the set of non-essential supply nodes The number of non-essential nodes is obtained, for example, 10. Then, compare the number of necessary nodes with the number of preset nodes to obtain the offset coefficient of the number of nodes, calculate according to the offset coefficient of the number of nodes and the number of non-essential nodes, and obtain the number of selected non-essential nodes.

In some embodiments, S52 (determining the number of all supply chain nodes in the set of necessary supply nodes to obtain the number of necessary nodes, the number of all supply chain nodes in the set of non-essential supply nodes to obtain the number of non-essential nodes, the Comparing the number of necessary nodes with the number of preset nodes to obtain the offset coefficient of the number of nodes, and calculating according to the offset coefficient of the number of nodes and the number of non-essential nodes, to obtain the number of selected non-essential nodes) including S521-S523:

S521, making a difference between the number of necessary nodes and the number of preset nodes, performing weighted calculations to obtain the offset coefficient of the number of nodes, and calculating the number of first offset nodes according to the offset coefficient of the number of nodes and the number of non-essential nodes, using the following formula Calculate the number of first offset nodes,

为第一偏移节点数量，

为必要节点数量，

为预设节点数量，

为数量归一化值，

为数量权重值，

为第一常数值，

为非必要节点数量，

为 预设系数值。 in,

is the number of first offset nodes,

is the necessary number of nodes,

is the preset number of nodes,

is the quantity normalized value,

is the quantity weight value,

is the first constant value,

is the number of unnecessary nodes,

is the default coefficient value.

代表节点数量偏移系数，

代表必要节点 数量与预设节点数量的差值，差值越大，说明必要节点数量越多，必要节点数量越多则对应 的非必要节点数量就需要越少，因此，本方案会对第一常数值

进行减小调整，得到节点 数量偏移系数；

代表非必要节点数量维度的值，

越大，对应的第一偏移节点数量 就需要越多。需要说明的是，

需要大于

。其中，数量权重值

和预设系数 值

可以是工作人员预先设置的。 In the above formula,

Represents the offset coefficient of the number of nodes,

Represents the difference between the number of necessary nodes and the number of preset nodes. The larger the difference, the more necessary nodes. The larger the number of necessary nodes, the less the corresponding number of non-essential nodes. constant value

Make reduction adjustments to obtain the offset coefficient of the number of nodes;

represents the value of the dimension of the number of non-essential nodes,

The larger the , the more the number of corresponding first offset nodes needs to be. It should be noted,

need to be greater than

. Among them, the quantity weight value

and preset coefficient values

Can be pre-set by the staff.

S522. Perform integer processing on the number of first offset nodes, and if it is judged that the number of first offset nodes is greater than or equal to the minimum number, use the number of first offset nodes after integer processing as the number of selected unnecessary nodes.

It can be understood that, since the calculated number of first offset nodes may not be an integer, this solution needs to perform integer processing on the number of first offset nodes first.

At the same time, this scheme sets a minimum number, such as 2, to ensure the necessary verification of non-essential supply nodes. If it is judged that the calculated number of first offset nodes is greater than or equal to the minimum number, this scheme will be integerized The final number of first offset nodes is used as the number of unnecessary node selections. For example, the calculated number of first offset nodes is 3, and 3 is greater than the minimum number of 2. At this time, this program will select 3 as unnecessary nodes quantity.

S523. If it is determined that the number of first offset nodes is less than the minimum number, take the minimum number as the number of unnecessary node selections.

It can be understood that if the calculated number of first offset nodes is 1, which is less than the minimum number 2, then this scheme will use the minimum number 2 as the number of non-essential node selections to ensure that the non-essential node dimensions are verified by the minimum number .

S53. Randomly select a plurality of supply chain nodes corresponding to the selected number of unnecessary nodes in the non-essential supply node set, extract the identities of the equipment and/or parts corresponding to the randomly selected supply chain nodes, and share the identities to relevant Corresponding first supply end or second supply end.

This scheme will randomly select multiple supply chain nodes corresponding to the selected number of unnecessary nodes in the set of non-essential supply nodes, and then extract the identities of the equipment and/or parts corresponding to the randomly selected supply chain nodes, and share the identities To the corresponding first supply end or second supply end, select and verify unnecessary supply nodes in the set of unnecessary supply nodes.

S54. Count all the feedback information sent by the first supply end or the second supply end, generate an evaluation coefficient for the electric power material according to all the feedback information, and add remark information to the corresponding electric power material according to the evaluation coefficient.

This program will count all the feedback information sent by the first supply end or the second supply end in real time, then use all the feedback information to generate the evaluation coefficient of the power material, and finally add remark information to the corresponding power material according to the evaluation coefficient.

Among them, S54 (counting the feedback information sent by all the first supply end or the second supply end, generating the evaluation coefficient of the electric power material according to all the feedback information, and adding remark information to the corresponding electric power material according to the evaluation coefficient) Including S541-S544:

S541. Classify the feedback information sent by the first supply end or the second supply end to obtain normal feedback information and abnormal feedback information respectively sent by the first supply end or the second supply end.

Wherein, the normal feedback information is, for example, "provided by the manufacturer", and the abnormal feedback information is, for example, "not provided by the manufacturer". This solution classifies the feedback information sent by the first supply end or the second supply end, and obtains normal feedback information and abnormal feedback information respectively sent by the first supply end or the second supply end.

S542. Count the number of normal feedback information sent by the supply chain nodes in the set of necessary supply nodes to obtain a first normal number, and the number of abnormal feedback information to obtain a first abnormal number.

This solution will count the number of normal feedback information sent by the supply chain nodes in the set of necessary supply nodes to obtain the first normal number, and the number of abnormal feedback information to obtain the first abnormal number.

S543. Count the number of normal feedback information sent by the supply chain nodes in the unnecessary supply node set to obtain a second normal amount, and the amount of abnormal feedback information to obtain a second abnormal amount.

At the same time, this solution will count the number of normal feedback information sent by the supply chain nodes in the non-essential supply node set to obtain the second normal number, and the number of abnormal feedback information to obtain the second abnormal number.

S544. Calculate according to the first normal quantity, the first abnormal quantity, the second normal quantity, and the second abnormal quantity to generate a first evaluation coefficient for electric power materials, and calculate the first evaluation coefficient for electric power materials by the following formula,

为第一评价系数，

为第一正常数量，

为第一异常数量，正常权重，

为异常权重，

为第一梯度系数，

为第二正常数量，

为第二异常数量，

为第 二梯度系数。 in,

is the first evaluation coefficient,

is the first normal quantity,

is the number of first anomalies, normal weights,

is the abnormal weight,

is the first gradient coefficient,

is the second normal quantity,

is the second outlier number,

is the second gradient coefficient.

代表必要供应节点所对应的子评价系 数，其中，

代表第一正常数量维度的系数，第一正常数量

越多，对应的第一正 常数量维度的系数也就越大，会使得整体的第一评价系数越大；代

表第一异常数 量维度的系数，第一异常数量

越多，对应的第一异常数量维度的系数也就越大，最终会 使得第一评价系数越小。

代表非必要供应节点所对应的子评价 系数，其中，

代表第二正常数量维度的系数，第二正常数量

越多，对应的第 二正常数量维度的系数也就越大，会使得整体的第一评价系数越大；

代表第二异 常数量维度的系数，第二异常数量

越多，对应的第二异常数量维度的系数也就越大，最 终会使得第一评价系数越小。其中，

正常权重和

异常权重可以是工作人员预先设置 的。In the above formula,

Represents the sub-evaluation coefficient corresponding to the necessary supply node, where,

represents the coefficient of the dimension of the first normal quantity, the first normal quantity

The more , the greater the coefficient of the corresponding first normal quantity dimension will be, which will make the overall first evaluation coefficient larger;

Coefficient of the dimension of the first number of outliers in the table, First number of outliers

The more there are, the greater the coefficient of the corresponding first abnormal quantity dimension will be, which will eventually make the first evaluation coefficient smaller.

Represents the sub-evaluation coefficient corresponding to the non-essential supply node, where,

represents the coefficient of the dimension of the second normal quantity, the second normal quantity

The more, the larger the coefficient of the corresponding second normal quantity dimension, which will make the overall first evaluation coefficient larger;

Represents the coefficient of the dimension of the second number of outliers, the second number of outliers

The more there are, the greater the coefficient of the corresponding second abnormal quantity dimension will be, which will eventually make the first evaluation coefficient smaller. in,

normal weights and

The abnormal weight can be preset by the staff.

设置的大于第二梯度系数

，以提高必 要节点维度的计算占比，使得最终计算出的第一评价系数较为贴合实际场景。 It should be noted that the first gradient coefficient

Set greater than the second gradient coefficient

, to increase the calculation ratio of the necessary node dimensions, so that the final calculated first evaluation coefficient is more suitable for the actual scene.

On the basis of the above embodiments, S545-S546 are also included:

S545. Count the number of unsent feedbacks of the first supply end or the second supply end corresponding to the necessary supply node set to obtain the first unfeedback number, and count the unsent feedback of the corresponding first supply end or the second supply end in the non-essential supply node set. The number of sent feedbacks results in a second unfeedbacked amount.

It is understandable that in practical applications, some nodes may not feed back information, which will affect the overall calculation. The number of sent feedbacks is used to obtain the first number of unfeedbacks, and the number of unsent feedbacks corresponding to the first supply end or the second supply end in the set of unnecessary supply nodes is counted to obtain the second unfeedback number.

S546. Calculate and generate a second evaluation coefficient according to the first evaluation coefficient, the first non-feedback quantity, and the second non-feedback quantity, and calculate the second evaluation coefficient of the electric power material by the following formula,

为第二评价系数，

为系数归一化值，

为第二常数值，

为第一未 反馈数量，

为第一未反馈权重，

为第二未反馈数量，

为第二未反馈权重。 in,

is the second evaluation coefficient,

is the normalized value of the coefficient,

is the second constant value,

is the first unfeedback quantity,

is the first unfeedback weight,

is the second unfeedback quantity,

is the second unfeedback weight.

代表非必要供应 节点维度所对应的削减系数，最终实现对第一评价系数

的削减，得到相对准确的第二评 价系数

。 In the above formula, it represents the reduction factor corresponding to the necessary supply node dimension,

Represents the reduction coefficient corresponding to the non-essential supply node dimension, and finally realizes the first evaluation coefficient

The reduction of the relatively accurate second evaluation coefficient

.

In some embodiments, if the first evaluation coefficient is greater than or equal to the first standard coefficient, it means that the quality of the current power materials is guaranteed, and most of the manufacturers can be traced. At this time, this solution will add normal power materials Remark information; if the first evaluation coefficient is less than the first standard coefficient, it means that the quality of the current power materials cannot be effectively guaranteed, and most of the manufacturers cannot be traced back to the source, then this plan will add abnormal remark information to the power materials; or

In some embodiments, if the second evaluation coefficient is greater than or equal to the second standard coefficient, it means that the quality of the current power materials is guaranteed, and most of the manufacturers can be traced. At this time, this solution will add normal power materials Remark information; if the second evaluation coefficient is less than the second standard coefficient, it means that the quality of the current power materials cannot be effectively guaranteed, and most of the manufacturers cannot be traced. This solution will add abnormal remark information to the power materials.

Referring to Fig. 2, it is a schematic diagram of the structure of the data sharing system for the whole chain of power material supply chain based on data processing provided by the present invention. The data sharing system for the whole chain of power material supply chain based on data processing includes:

The node module is used for the server to generate a corresponding preset supply chain according to the material label of the power material, and the preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes Chain nodes, each supply chain node corresponds to a device and/or part;

A classification module for counting all necessary supply chain nodes to generate a set of necessary supply nodes corresponding to the preset supply chain, and counting all non-essential supply chain nodes to generate a set of non-essential supply nodes corresponding to the preset supply chain;

The receiving module is configured to receive the supply chain data sent by the first supply end to the corresponding power material, the supply chain data includes the first supplier information corresponding to the first supply end, and the information corresponding to each component of each power material The second supplier information;

The binding module is used to fill and integrate all the first supplier information and the second supplier information into the corresponding supply chain nodes, and determine that all necessary supply chain nodes are filled with the corresponding first supplier information And/or after the second supplier information, select each one to fill in the first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information;

The verification module is used to select a plurality of supply chain nodes in the set of necessary supply nodes and the set of non-essential supply nodes according to the preset selection strategy, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain node, and set the identity Shared to the corresponding first supply end or second supply end, generate an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and add remark information to the corresponding electric power material according to the evaluation coefficient.

The present invention also provides a storage medium, where a computer program is stored in the storage medium, and the computer program is used to implement the methods provided by the above-mentioned various implementation modes when executed by a processor.

Wherein, the storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may be located in application specific integrated circuits (Application Specific Integrated Circuits, ASIC for short). Additionally, the ASIC may be located in the user equipment. Of course, the processor and the storage medium can also exist in the communication device as discrete components. The storage media may be read only memory (ROM), random access memory (RAM), CD-ROM, magnetic tapes, floppy disks, and optical data storage devices, among others.

The present invention also provides a program product, which includes execution instructions, and the execution instructions are stored in a storage medium. At least one processor of the device may read the execution instruction from the storage medium, and the at least one processor executes the execution instruction so that the device implements the methods provided in the foregoing various implementation manners.

In the above embodiment of the terminal or server, it should be understood that the processor may be a central processing unit (English: Central Processing Unit, CPU for short), and may also be other general-purpose processors, digital signal processors (English: Digital Signal Processor , referred to as: DSP), application specific integrated circuit (English: Application SpecificIntegrated Circuit, referred to as: ASIC) and so on. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in conjunction with the present invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (11)

1. A data processing-based data sharing method for the entire supply chain of electric power materials, characterized in that it includes: S1, the server generates a corresponding preset supply chain according to the material label of the power material, and the preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes, Each supply chain node corresponds to a device and/or part; S2, count all necessary supply chain nodes, generate a set of necessary supply nodes corresponding to the preset supply chain, and count all non-essential supply chain nodes, and generate a set of non-essential supply nodes corresponding to the preset supply chain; S3. Receive the supply chain data sent by the first supply end to the corresponding power material, the supply chain data includes the first supplier information corresponding to the first supply end, and the second supplier information corresponding to each component of each power material supplier information; S4, filling and merging all the first supplier information and the second supplier information into the corresponding supply chain nodes, and judging that all necessary supply chain nodes are filled with the corresponding first supplier information and/or the second supplier information After the second supplier information, select each one to fill in the first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information; S5. According to the preset selection strategy, select multiple supply chain nodes from the set of necessary supply nodes and the set of non-essential supply nodes, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain nodes, and share the identity to the corresponding The corresponding first supply end or second supply end generates an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and adds remark information to the corresponding electric power material according to the evaluation coefficient. 2. The data processing-based full-chain data sharing method of the power material supply chain according to claim 1, characterized in that, The S1 includes: The server extracts the material tags of the stored power materials, compares the material types corresponding to the material tags with the preset material correspondence table, and determines the preset supply chain corresponding to the material tags. Each material tag has a corresponding Preset supply chain with corresponding settings in advance; The node label corresponding to each supply chain node is extracted, the node label includes a necessary node label and a non-essential node label, and the supply chain node is divided into a necessary supply chain node and a non-essential supply chain node according to the node label. 3. The data-processing-based full-chain data sharing method of electric power materials supply chain according to claim 2, characterized in that, the preset supply chain is generated through the following steps, specifically comprising: Receive the power material configuration data input by the administrator, the power material configuration data includes the equipment and/or parts corresponding to each power material, and the inclusion relationship between equipment and parts, and parts and parts; Establish a supply chain node corresponding to each equipment and/or part, and determine the level number corresponding to each supply chain node according to the inclusion relationship between equipment and parts, parts and parts; Connect all supply chain nodes according to the level number corresponding to each supply chain node to generate a corresponding preset supply chain, and display the generated preset supply chain; Receive the necessary node configuration data input by the administrator, the necessary node configuration data includes the level number as the necessary supply chain node, add a necessary node label to the supply chain node with the configured level number, and add a label to the supply chain node without the configured level number Node labels are not required. 4. The data processing-based full-chain data sharing method of the power material supply chain according to claim 3, characterized in that, The necessary node configuration data input by the administrator is received, the necessary node configuration data includes the level number as a necessary supply chain node, the necessary node label is added to the supply chain node with the configured level number, and the supply chain without the configured level number Nodes add non-essential node labels, including: Determine the necessary supply chain nodes in the preset supply chain according to the level numbers of the necessary supply chain nodes, and extract the level numbers of all non-essential supply chain nodes directly connected to the determined necessary supply chain nodes as the level numbers to be compared; If it is judged that the level number of the level number to be compared is lower than the level number of the corresponding necessary supply chain node, then the non-essential supply chain node corresponding to the level number to be compared is converted into a necessary supply chain node; If it is determined that the level number of the level number to be compared is not lower than the level number of the corresponding necessary supply chain node, then the non-essential supply chain node corresponding to the level number to be compared is reserved. 5. The data-processing-based full-chain data sharing method of power material supply chain according to claim 3, characterized in that, The S4 includes: filling and merging the first supplier information into the supply chain node of its corresponding equipment, filling and merging the second supplier information into the supply chain node of its corresponding parts; After judging that all the first supplier information and the second supplier information in the supply chain data are respectively filled in the corresponding supply chain nodes, then lock the necessary supply chain nodes in the preset supply chain; After judging that all necessary supply chain nodes are filled with corresponding first supplier information and/or second supplier information, select all necessary supply chain nodes and non-essential supply chain nodes in the preset supply chain to fill in each The first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information. 6. The data processing-based full-chain data sharing method of the power material supply chain according to claim 5, characterized in that, The S5 includes: Select all the supply chain nodes in the necessary supply node set, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain node, and share the identity with the corresponding first or second supply end; Determine the number of all supply chain nodes in the set of necessary supply nodes to obtain the number of necessary nodes, determine the number of all supply chain nodes in the set of non-essential supply nodes to obtain the number of non-essential nodes, and compare the number of necessary nodes with the number of preset nodes Comparing and obtaining the offset coefficient of the number of nodes, calculating according to the offset coefficient of the number of nodes and the number of non-essential nodes, and obtaining the number of selected non-essential nodes; Randomly select multiple supply chain nodes corresponding to the selected number of unnecessary nodes in the non-essential supply node set, extract the identity of the equipment and/or parts corresponding to the randomly selected supply chain nodes, and share the identity to the corresponding the first supply or the second supply; Count all the feedback information sent by the first supply end or the second supply end, generate an evaluation coefficient for the electric power material according to all the feedback information, and add remark information to the corresponding electric power material according to the evaluation coefficient. 7. The data processing-based full-chain data sharing method of the power material supply chain according to claim 6, characterized in that, The determination of the number of all supply chain nodes in the set of necessary supply nodes obtains the number of necessary nodes, the number of all supply chain nodes in the set of non-essential supply nodes obtains the number of non-essential nodes, and combines the number of necessary nodes with the number of preset nodes Perform comparison to obtain the offset coefficient of the number of nodes, calculate according to the offset coefficient of the number of nodes and the number of non-essential nodes, and obtain the number of selected non-essential nodes, including: The difference between the number of necessary nodes and the number of preset nodes is made, and the weighted calculation is performed to obtain the offset coefficient of the number of nodes. The number of first offset nodes is calculated according to the offset coefficient of the number of nodes and the number of non-essential nodes. The second offset node is calculated by the following formula a number of offset nodes,

in,

is the number of first offset nodes,

is the necessary number of nodes,

is the preset number of nodes,

is the quantity normalized value,

is the quantity weight value,

is the first constant value,

is the number of unnecessary nodes,

is the default coefficient value; Integerize the number of first offset nodes, and if it is judged that the number of first offset nodes is greater than or equal to the minimum number, then use the number of first offset nodes after integerization as the number of unnecessary node selections; If it is judged that the number of first offset nodes is less than the minimum number, the minimum number is taken as the number of unnecessary node selections. 8. The data processing-based full-chain data sharing method of the power material supply chain according to claim 6, characterized in that, The counting of all the feedback information sent by the first supply end or the second supply end, generating an evaluation coefficient for the electric power material according to all the feedback information, and adding remark information to the corresponding electric power material according to the evaluation coefficient includes: Classifying the feedback information sent by the first supply end or the second supply end to obtain normal feedback information and abnormal feedback information respectively sent by the first supply end or the second supply end; Counting the number of normal feedback information sent by the supply chain nodes in the necessary supply node set to obtain the first normal number, and the number of abnormal feedback information to obtain the first abnormal number; Counting the number of normal feedback information sent by the supply chain nodes in the non-essential supply node set to obtain the second normal number, and the number of abnormal feedback information to obtain the second abnormal number; Calculate according to the first normal quantity, the first abnormal quantity, the second normal quantity, and the second abnormal quantity to generate a first evaluation coefficient for electric power materials, and calculate the first evaluation coefficient for electric power materials by the following formula,

in,

is the first evaluation coefficient,

is the first normal quantity,

is the number of first anomalies,

normal weight,

is the abnormal weight,

is the first gradient coefficient,

is the second normal quantity,

is the second outlier number,

is the second gradient coefficient. 9. The data processing-based full-chain data sharing method of the power material supply chain according to claim 8, further comprising: Count the number of unsent feedbacks from the corresponding first or second suppliers in the set of necessary supply nodes to obtain the first unfeedback number, and count the unsent feedbacks from the corresponding first or second suppliers in the set of non-essential supply nodes The quantity obtained is the second unfeedback quantity; Calculate and generate the second evaluation coefficient according to the first evaluation coefficient, the first non-feedback quantity, and the second non-feedback quantity, and calculate the second evaluation coefficient of the electric power material by the following formula,

in,

is the second evaluation coefficient,

is the normalized value of the coefficient,

is the second constant value,

is the first unfeedback quantity,

is the first unfeedback weight,

is the second unfeedback quantity,

is the second unfeedback weight. 10. The data processing-based full-chain data sharing method of the power material supply chain according to claim 9, characterized in that, If the first evaluation coefficient is greater than or equal to the first standard coefficient, add normal remark information to the electric power material; if the first evaluation coefficient is smaller than the first standard coefficient, add abnormal remark information to the electric power material; or If the second evaluation coefficient is greater than or equal to the second standard coefficient, normal remark information is added to the electric material, and if the second evaluation coefficient is smaller than the second standard coefficient, abnormal remark information is added to the electric material. 11. The whole-chain data sharing method system of electric power material supply chain based on data processing, characterized in that it includes: The node module is used for the server to generate a corresponding preset supply chain according to the material label of the power material, and the preset supply chain includes multiple levels of supply chain nodes, and the supply chain nodes include necessary supply chain nodes and non-essential supply chain nodes Chain nodes, each supply chain node corresponds to a device and/or part; A classification module for counting all necessary supply chain nodes to generate a set of necessary supply nodes corresponding to the preset supply chain, and counting all non-essential supply chain nodes to generate a set of non-essential supply nodes corresponding to the preset supply chain; The receiving module is configured to receive the supply chain data sent by the first supply end to the corresponding power material, the supply chain data includes the first supplier information corresponding to the first supply end, and the information corresponding to each component of each power material The second supplier information; The binding module is used to fill and integrate all the first supplier information and the second supplier information into the corresponding supply chain nodes, and determine that all necessary supply chain nodes are filled with the corresponding first supplier information And/or after the second supplier information, select each one to fill in the first supplier corresponding to the first supplier information or the second supplier corresponding to the second supplier information; The verification module is used to select a plurality of supply chain nodes in the set of necessary supply nodes and the set of non-essential supply nodes according to the preset selection strategy, extract the identity of the equipment and/or parts corresponding to the corresponding supply chain node, and set the identity Shared to the corresponding first supply end or second supply end, generate an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and add remark information to the corresponding electric power material according to the evaluation coefficient.

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