CN115423650B

CN115423650B - Electric power material supply chain full-chain data sharing method and system based on data processing

Info

Publication number: CN115423650B
Application number: CN202211379326.0A
Authority: CN
Inventors: 陈瑜; 詹卫军; 李海弘; 范江东; 葛军萍; 吴建锋; 赵欣; 王涛; 楼伟杰; 张景明; 王悦; 胡恺锐; 吴健超; 郑建新; 吕齐
Original assignee: State Grid Zhejiang Electric Power Co Ltd; Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd; Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
Current assignee: State Grid Zhejiang Electric Power Co Ltd; Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd; Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
Priority date: 2022-11-04
Filing date: 2022-11-04
Publication date: 2023-01-24
Anticipated expiration: 2042-11-04
Also published as: CN115423650A

Abstract

The invention provides a full-chain data sharing method and system of an electric power material supply chain based on data processing, which comprises the following steps: counting all necessary supply chain nodes to generate a necessary supply node set corresponding to a preset supply chain, and counting all unnecessary supply chain nodes to generate an unnecessary supply node set corresponding to the preset supply chain; receiving supply chain data sent by a first supply end to corresponding electric power supplies, wherein the supply chain data comprise first supplier information corresponding to the first supply end and second supplier information corresponding to each part of each electric power supply; filling and fusing all the first supplier information and the second supplier information into corresponding supply chain nodes respectively; according to a preset selection strategy, the identity identification is shared to the corresponding first supply end or second supply end, an evaluation coefficient of the power material is generated according to feedback information of the first supply end or the second supply end, and remark information is added to the corresponding power material according to the evaluation coefficient.

Description

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

Technical Field

The invention relates to the technical field of data processing, in particular to a full-chain data sharing method and system of a power material supply chain based on data processing.

Background

Supply chain (Supply chain) refers to a network chain structure formed by enterprises upstream and downstream of the activity of providing products or services to end users in the production and circulation process, i.e. the whole chain is used for delivering the products from the merchants to the consumers.

In the prior art, the data integration requirement of the full-chain integration of the material supply chain is oriented, the direct upstream and the direct downstream can only be linked and traced, once a product goes wrong, the direct upstream can only be traced, the full-chain nodes of the product cannot be traced, and the integrated integration, integration and management of the full-chain data cannot be realized.

Disclosure of Invention

The embodiment of the invention provides a data processing-based power material supply chain full-chain data sharing method and a data processing-based power material supply chain full-chain data sharing system, which can trace the source of the full-chain nodes of a product in the whole process, exchange data with the nodes, evaluate the product according to the tracing result, and realize the integrated integration, fusion and treatment of full-chain data.

In a first aspect of the embodiments of the present invention, a method for sharing data of a full-chain of a power supply chain of materials based on data processing is provided, where the method includes:

s1, a server generates a corresponding preset supply chain according to a material label of electric power materials, wherein the preset supply chain comprises a plurality of levels of supply chain nodes, the supply chain nodes comprise necessary supply chain nodes and unnecessary supply chain nodes, and 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 a preset supply chain, and counting all unnecessary supply chain nodes to generate an unnecessary supply node set corresponding to the preset supply chain;

s3, receiving supply chain data sent by a first supply end to corresponding electric power supplies, wherein the supply chain data comprise first supplier information corresponding to the first supply end and second supplier information corresponding to each part of each electric power supply;

s4, respectively filling and fusing all the first supplier information and the second supplier information into corresponding supply chain nodes, and after judging that all necessary supply chain nodes are filled with the corresponding first supplier information and/or second supplier information, selecting a first supplier end corresponding to each filling first supplier information or a second supplier end corresponding to the second supplier information;

s5, selecting a plurality of supply chain nodes from the necessary supply node set and the unnecessary supply node set respectively according to a preset selection strategy, extracting the identity of the equipment and/or the part corresponding to the corresponding supply chain node, sharing the identity to the corresponding first supply end or second supply end, generating an evaluation coefficient for the electric power materials according to the feedback information of the first supply end or the second supply end, and adding remark information to the corresponding electric power materials according to the evaluation coefficient.

Optionally, the S1 includes:

the method comprises the steps that a server extracts material labels of electric power materials put in storage, and compares the material types corresponding to the material labels with a preset material correspondence table to determine preset supply chains corresponding to the material labels, wherein each material label is provided with a preset supply chain corresponding to the material label in advance;

extracting node labels corresponding to each supply chain node, wherein the node labels comprise necessary node labels and unnecessary node labels, and dividing the supply chain nodes into necessary supply chain nodes and unnecessary supply chain nodes according to the node labels.

Optionally, the preset supply chain is generated through the following steps, specifically including:

receiving power material configuration data input by an administrator, wherein the power material configuration data comprise equipment and/or parts corresponding to each power material and inclusion relations between the equipment and the parts and between the parts;

establishing supply chain nodes corresponding to each device and/or part, and determining the grade number corresponding to each supply chain node according to the inclusion relation between the devices and the parts and between the parts and the parts;

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

and receiving necessary node configuration data input by an administrator, wherein the necessary node configuration data comprises a level number which is a necessary supply chain node, adding a necessary node label to the supply chain node with the configured level number, and adding a non-necessary node label to the supply chain node without the configured level number.

Optionally, the receiving the necessary node configuration data input by the administrator, where the necessary node configuration data includes a level number as a necessary supply chain node, adding a necessary node tag to a supply chain node with the configured level number, and adding an unnecessary node tag to a supply chain node without the configured level number includes:

determining necessary supply chain nodes in a preset supply chain according to the level numbers of the necessary supply chain nodes, and extracting the level numbers of all unnecessary supply chain nodes directly connected with the determined necessary supply chain nodes as the level numbers to be compared;

if the grade of the grade number to be compared is judged to be smaller than the grade number of the corresponding necessary supply chain node, converting the unnecessary supply chain node corresponding to the grade number to be compared into the necessary supply chain node;

and if the grade of the grade number to be compared is judged to be not less than the grade number of the corresponding necessary supply chain node, reserving the unnecessary supply chain node corresponding to the grade number to be compared.

Optionally, the S4 includes:

filling and fusing first supplier information into a supply chain node of the corresponding equipment, and filling and fusing second supplier information into a supply chain node of the corresponding part;

after all the first supplier information and the second supplier information in the supply chain data are judged to be respectively filled into the corresponding supply chain nodes, locking necessary supply chain nodes in the preset supply chain;

after it is judged that all necessary supply chain nodes are filled with corresponding first provider information and/or second provider information, a first provider or a second provider corresponding to the first provider information or the second provider information of all necessary supply chain nodes and unnecessary supply chain nodes in the preset supply chain is selected.

Optionally, the S5 includes:

selecting all supply chain nodes in the necessary supply node set, extracting the identity of the equipment and/or parts corresponding to the corresponding supply chain nodes, and sharing the identity to the corresponding first supply end or second supply end;

determining the number of all supply chain nodes in a necessary supply node set to obtain a necessary node number, and the number of all supply chain nodes in a non-necessary supply node set to obtain a non-necessary node number, comparing the necessary node number with a preset node number to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the non-necessary node number to obtain a non-necessary node selection number;

randomly selecting a plurality of supply chain nodes corresponding to the non-essential node selection quantity in the non-essential supply node set, extracting the identity of equipment and/or parts corresponding to the randomly selected supply chain nodes, and sharing the identity to the corresponding first supply end or second supply end;

counting feedback information sent by all the first supply terminals or all the second supply terminals, generating evaluation coefficients for the electric power materials according to all the feedback information, and adding remark information to the corresponding electric power materials according to the evaluation coefficients.

Optionally, the determining the number of all supply chain nodes in the necessary supply node set to obtain the necessary node number, and the determining the number of all supply chain nodes in the unnecessary supply node set to obtain the unnecessary node number, comparing the necessary node number with a preset node number to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the unnecessary node number to obtain the unnecessary node selection number includes:

subtracting the necessary node number from the preset node number, performing weighting calculation to obtain a node number offset coefficient, calculating according to the node number offset coefficient and the unnecessary node number to obtain a first offset node number, calculating the first offset node number by the following formula,

wherein, the first and the second end of the pipe are connected with each other,

for the first number of offset nodes,

in order to be able to determine the number of necessary nodes,

in order to pre-set the number of nodes,

the value is normalized for the quantity,

in order to be a number weight value,

is a first constant value that is a function of,

in order to be able to determine the number of unnecessary nodes,

is a preset coefficient value;

performing integer processing on the first offset node number, and if the first offset node number is judged to be larger than or equal to the minimum number, taking the first offset node number after integer processing as the unnecessary node selection number;

and if the first offset node number is smaller than the minimum number, taking the minimum number as the unnecessary node selection number.

Optionally, the counting feedback information sent by all the first supply terminals or the second supply terminals, generating an evaluation coefficient for the electric power materials according to all the feedback information, and adding remark information to the corresponding electric power materials 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 sent by the first supply end or the second supply end respectively;

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

counting the number of the normal feedback information sent by the supply chain nodes in the unnecessary supply node set to obtain a second normal number, and counting the number of the abnormal feedback information to obtain a second abnormal number;

calculating 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 of the electric power material, calculating the first evaluation coefficient of the electric power material through the following formula,

wherein the content of the first and second substances,

as a first evaluation coefficient, the evaluation coefficient,

in the case of the first normal number,

is the first number of anomalies,

the weight of the normal weight is set to be,

in order to be the weight of the anomaly,

is a first coefficient of the gradient to be calculated,

in the case of the second normal number,

in order to be the second number of anomalies,

is the second gradient coefficient.

Optionally, the method further includes:

counting the number of the non-sent feedbacks of the first supply terminal or the second supply terminal corresponding to the necessary supply node set to obtain a first non-fed number, and counting the number of the non-sent feedbacks of the first supply terminal or the second supply terminal corresponding to the unnecessary supply node set to obtain a second non-fed number;

calculating according to the first evaluation coefficient, the first non-feedback quantity and the second non-feedback quantity to generate a second evaluation coefficient, calculating the second evaluation coefficient of the electric power material through the following formula,

as a second evaluation coefficient, the evaluation coefficient,

is a value for the normalization of the coefficients,

is a second constant value which is a function of,

is the first amount of non-feedback,

is the first non-fed-back weight,

for the second amount of non-feedback,

is the second unrefed-back weight.

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

If the second evaluation coefficient is larger than or equal to a second standard coefficient, adding normal remark information to the electric power materials, and if the second evaluation coefficient is smaller than the second standard coefficient, adding abnormal remark information to the electric power materials.

In a second aspect of the embodiments of the present invention, a full-chain data sharing system of an electric power material supply chain based on data processing is provided, including:

the node module is used for generating a corresponding preset supply chain by the server according to the material label of the electric power material, wherein the preset supply chain comprises a plurality of levels of supply chain nodes, the supply chain nodes comprise necessary supply chain nodes and unnecessary supply chain nodes, and each supply chain node corresponds to one device and/or part;

the classification module is used for counting all necessary supply chain nodes to generate a necessary supply node set corresponding to a preset supply chain, and counting all unnecessary supply chain nodes to generate an unnecessary supply node set corresponding to the preset supply chain;

the receiving module is used for receiving supply chain data sent by a first supply end to corresponding electric power supplies, and the supply chain data comprise first supplier information corresponding to the first supply end and second supplier information corresponding to each part of each electric power supply;

the binding module is used for respectively filling and fusing all the first supplier information and the second supplier information into corresponding supply chain nodes, and after judging that all the necessary supply chain nodes are filled with the corresponding first supplier information and/or second supplier information, selecting a first supplier end corresponding to each piece of filled first supplier information or a second supplier end corresponding to each piece of filled second supplier information;

the verification module is used for selecting a plurality of supply chain nodes from the necessary supply node set and the unnecessary supply node set respectively according to a preset selection strategy, extracting the identity of the equipment and/or the part corresponding to the corresponding supply chain node, sharing the identity to the corresponding first supply end or second supply end, generating an evaluation coefficient for the electric power material according to the feedback information of the first supply end or the second supply end, and adding remark information to the corresponding electric power material according to the evaluation coefficient.

In a third aspect of the embodiments of the present invention, a storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.

1. According to the scheme, the supply chain nodes at multiple levels of the preset supply chain corresponding to the electric power materials can be counted, then the supply chain nodes at the multiple levels are subjected to classification processing, supplier information binding processing and selection processing, finally backtracking verification of corresponding nodes is achieved, the electric power materials are evaluated by utilizing feedback information generated by data exchange, and the safety and the stability of the electric power material circulation process are judged. The invention aims at the data integration requirement of the full-chain fusion of the material supply chain, constructs full-chain data sharing and data exchange, can trace the source of the full-chain nodes of the product in the whole process, simultaneously exchange data with the nodes, can evaluate the product according to the source tracing result, and realizes the integrated integration, fusion and treatment of the full-chain data.

2. According to the scheme, when the preset supply chain is constructed, the supply chain nodes of multiple levels and the level numbers of the supply chain nodes of multiple levels can be obtained in a manual interaction mode, the level numbers can be processed, the supply chain nodes are divided into necessary node labels and unnecessary node labels, and classification of the supply chain nodes is achieved. In addition, the scheme also utilizes the inclusion relation among the level numbers to traverse and verify the classified nodes, so that the classification is ensured to be accurate, and the accuracy of subsequent source tracing verification is improved. When the verification and selection of the nodes are carried out, the nodes can be selected in different modes according to different node types, and aiming at necessary nodes, the quality of electric power materials is often seriously influenced, so that all the selection modes can be adopted for selection; aiming at unnecessary nodes, the quality of electric power materials is not seriously influenced, so that the scheme can adopt a partial selection mode for selection, in the process, the comprehensive calculation is carried out by combining multidimensional data such as the total quantity of necessary nodes and the total quantity of unnecessary nodes, the first offset node quantity is obtained, the final unnecessary node selection quantity is determined by combining the minimum quantity, the quantity of unnecessary nodes with different quantities is determined according to the difference of the selection quantity of the necessary nodes, and the verification result is optimized by using limited verification resources.

3. In the scheme, in the process of evaluating the electric power materials by combining the feedback information, the dimension of a necessary node and the dimension of a non-necessary node are separately calculated to obtain the sub-coefficients of the corresponding dimensions, and then the sub-coefficients of the two dimensions are synthesized to obtain the evaluation coefficient; when each subsystem number is calculated, comprehensive calculation is carried out according to two aspects of each dimensionality, namely the normal feedback quantity on one hand and the abnormal feedback quantity on the other hand, and a relatively accurate evaluation coefficient can be obtained through the method; in addition, the scheme also considers that some nodes may not feed back information to cause influence on the whole calculation, at the moment, the scheme can count the number of the first supply end or the second supply end corresponding to the necessary supply node set which does not send feedback to obtain a first non-feedback number, count the number of the first supply end or the second supply end corresponding to the unnecessary supply node set which does not send feedback to obtain a second non-feedback number, and adjust the evaluation coefficient again to obtain a more accurate evaluation coefficient, so that the power material is evaluated more objectively.

Drawings

Fig. 1 is a flowchart illustrating a method for sharing data in a full-chain of a power supply chain based on data processing according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a full-chain data sharing system of an electric power material supply chain based on data processing according to the present invention.

Detailed Description

In order to make the objects, 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 with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein.

It should be understood that, in the various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is only an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprising a, B and C", "comprising a, B, C" means that all three of a, B, C are comprised, "comprising a, B or C" means comprising one of three of a, B, C, "comprising a, B and/or C" means comprising any 1 or any 2 or 3 of three of a, B, C.

It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.

As used herein, the term "if" may be interpreted as "at \8230; …" or "in response to a determination" or "in response to a detection" depending on the context.

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

Referring to fig. 1, which is a schematic flow chart of a method for sharing data of a power supply chain based on data processing according to an embodiment of the present invention, the method for fusing and sharing data of the power supply chain based on data processing includes steps S1-S5:

s1, a server generates a corresponding preset supply chain according to a material label of an electric material, wherein the preset supply chain comprises a plurality of levels of supply chain nodes, the supply chain nodes comprise necessary supply chain nodes and unnecessary supply chain nodes, and each supply chain node corresponds to one device and/or part.

Firstly, the scheme generates a corresponding preset supply chain by using the material labels of the electric materials, wherein the preset supply chain comprises a plurality of levels of supply chain nodes, the supply chain nodes comprise necessary supply chain nodes and unnecessary supply chain nodes, and each supply chain node corresponds to one device and/or part.

The electric power materials are electric power equipment such as transformers and cables, the material labels are labels corresponding to the electric power equipment such as the transformers and the cables, and the material labels and the electric power materials are in one-to-one correspondence.

It will be appreciated that an electrical apparatus is often produced by a combination of several manufacturers, for example, part 1 from company a, part 2 from company b, and part 1 and part 2 from company c, which are combined to form the final transformer apparatus. The company a, the company B, and the company C are the supply chain nodes.

It should be noted that the supply chain link point in the present embodiment includes a necessary supply chain node and an unnecessary supply chain node, where the necessary supply chain node is a component or a device corresponding to a relatively core electrical device, and the unnecessary supply chain node is a component corresponding to a non-core electrical device. For example, for a transformer, the power supply, transformer coils, circuit boards, etc. are core components that may be the corresponding essential supply chain nodes, while the paint sprayed on the housing, not the core components, may be the corresponding unnecessary supply chain nodes. Wherein the essential supply chain nodes and the non-essential supply chain nodes may be set by a worker.

In some embodiments, the S1 includes S11-S12:

s11, the server extracts material labels of the electric power materials stored in the warehouse, compares the material types corresponding to the material labels with a preset material corresponding table, and determines preset supply chains corresponding to the material labels, wherein each material label is provided with a preset supply chain corresponding to the material label in advance.

The scheme is provided with a preset material corresponding table, the preset material corresponding table stores the corresponding relation between material labels and preset supply chains, the server extracts the material labels of the electric power materials stored in the warehouse, and then the corresponding preset supply chains are determined according to the preset material corresponding table.

And S12, extracting a node label corresponding to each supply chain node, wherein the node label comprises a necessary node label and a non-necessary node label, and dividing the supply chain node into a necessary supply chain node and a non-necessary supply chain node according to the node labels.

According to the scheme, each supply chain node is provided with a corresponding node label, after the preset supply chain corresponding to the electric power materials is determined, the node label corresponding to each supply chain node is extracted, and then the supply chain nodes are divided into necessary supply chain nodes and unnecessary supply chain nodes according to the node labels.

Wherein the node labels are, for example, class B labels and class F labels, for example, if the node label of a node is B1, B11, B111, etc., then it is a necessary supply chain node; a node has a node label of F1, F11, F111, etc., then it is an unnecessary supply chain node. The present solution is described only by way of example, but not limited to the above.

The method comprises the following steps of generating a preset supply chain, wherein the preset supply chain specifically comprises A1-A4:

the method comprises the following steps that A1, power material configuration data input by an administrator are received, wherein the power material configuration data comprise equipment and/or parts corresponding to each power material, and inclusion relations among the equipment, the parts and the parts.

The administrator of the scheme can input the configuration data of the electric power materials, wherein the configuration data of the electric power materials is the decomposition data of the electric power materials, and therefore the configuration data of the electric power materials comprises equipment and/or parts corresponding to each electric power material and the inclusion relation among the equipment, the parts and the parts.

Illustratively, the power material transformer comprises a power supply, a transformation coil, a circuit board, a shell and a shell paint layer, wherein the transformation coil comprises an iron core, a primary coil, a secondary coil and the like, the transformer comprises the power supply, the transformation coil, the circuit board, the shell and the shell paint layer, the transformation coil comprises the iron core, the primary coil and the secondary coil, and the shell comprises the shell paint layer.

And A2, establishing supply chain nodes corresponding to each device and/or part, and determining the grade number corresponding to each supply chain node according to the inclusion relation between the device and the part and between the part and the part.

Illustratively, the level number of the transformer is 1; a power supply 11, a transformer coil 12, a circuit board 13 and a shell 14; the core is 121, the primary coil is 122, the secondary coil is 123, and the shell paint layer is 141. According to the scheme, the number corresponding to each supply chain node can be formed according to the inclusion relation.

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

After the number corresponding to each supply chain node is obtained, the scheme can utilize the level number corresponding to each supply chain node to connect all the supply chain nodes to generate a corresponding preset supply chain, and display the generated preset supply chain. For example, the presentation can be in the form of a tree diagram, so that the staff can clearly observe each supply chain node.

And A4, receiving necessary node configuration data input by an administrator, wherein the necessary node configuration data comprises a 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 an unnecessary node label to the supply chain node without the configured level number.

The scheme can interact with an administrator, receive necessary node configuration data input by the administrator and add corresponding necessary node labels to corresponding supply chain nodes. Meanwhile, the scheme adds unnecessary node labels to the supply chain nodes which are not configured with the level numbers.

In some embodiments, A4 (receiving administrator-entered essential node configuration data including a level number as an essential supply chain node, adding an essential node label to a supply chain node of a configured level number, and adding a non-essential node label to a supply chain node of an unconfigured level number) includes a41-a43:

and A41, determining necessary supply chain nodes in a preset supply chain according to the level numbers of the necessary supply chain nodes, and extracting the level numbers of all unnecessary supply chain nodes directly connected with the determined necessary supply chain nodes as the level numbers to be compared.

First, the present solution determines a necessary supply chain node in a preset supply chain according to the level number of the necessary supply chain node, and then extracts the level numbers of all unnecessary supply chain nodes directly connected to the determined necessary supply chain node as the level numbers to be compared.

It should be noted that, in the present solution, the level numbers of all unnecessary supply chain nodes directly connected to the necessary supply chain link points are extracted, in order to prevent the occurrence of label missing when the administrator performs the necessary supply chain node numbers, and the screening and combing can be performed in the above manner.

And A42, if the level of the level number to be compared is judged to be smaller than the level number of the corresponding necessary supply chain node, converting the unnecessary supply chain node corresponding to the level number to be compared into the necessary supply chain node.

It can be understood that, if it is determined that the level of the level number to be compared is smaller than the level number of the corresponding necessary supply chain node, indicating that the level number to be compared is included in the necessary supply chain node, in this case, the present solution converts the unnecessary supply chain node corresponding to the level number to be compared into the necessary supply chain node.

Illustratively, the transformer coil is 12, if the administrator determines only the primary coil 122 and the secondary coil 123 as the necessary supply chain node in the process of determining the necessary supply chain node, but does not determine the core 121 as the necessary supply chain node. At this time, all the unnecessary supply chain nodes directly connected to the transformer coil 12 are the iron cores 121, and in this scheme, the iron cores 121 are readjusted to be the necessary supply chain nodes, so that the missing marks of the necessary supply chain nodes can be prevented.

And A43, if the level of the level number to be compared is judged to be not less than the level number of the corresponding necessary supply chain node, reserving the unnecessary supply chain node corresponding to the level number to be compared.

It can be understood that, if it is determined that the level of the level number to be compared is greater than the level number of the corresponding necessary supply chain node, it indicates that the level number to be compared is not included in the necessary supply chain node, and at this time, the present solution reserves the unnecessary supply chain node corresponding to the level number to be compared.

Illustratively, the level number to be compared is 5, and the level number of the necessary supply chain node is 51, where the level of the level number to be compared is not less than the level number of the corresponding necessary supply chain node, and in this case, the type of the level number to be compared is not changed, and the unnecessary supply chain node corresponding to the level number to be compared is retained.

S2, counting all necessary supply chain nodes to generate a necessary supply node set corresponding to the preset supply chain, and counting all unnecessary supply chain nodes to generate an unnecessary supply node set corresponding to the preset supply chain.

After all necessary supply chain nodes and unnecessary supply chain nodes are determined, all necessary supply chain nodes are counted to generate a necessary supply node set corresponding to a preset supply chain, and all unnecessary supply chain nodes are counted to generate an unnecessary supply node set corresponding to the preset supply chain.

And S3, receiving supply chain data sent by the first supply end to the corresponding electric power material, wherein the supply chain data comprise first supplier information corresponding to the first supply end and second supplier information corresponding to each part of each electric power material.

The first supply end may be a supply end that provides complete equipment, for example, a supply end (for example, manufacturer C) that provides transformer complete equipment, and the first supply end needs to transmit supply chain data corresponding to the electric power supplies, where the supply chain data includes first supply information (for example, manufacturer C) corresponding to the first supply end, and second supply information (for example, manufacturer a that provides component 1, manufacturer B that provides component 2, and the like) corresponding to each component of each electric power supply.

And S4, respectively filling and fusing all the first supplier information and the second supplier information into the corresponding supply chain nodes, and after judging that all the necessary supply chain nodes are filled with the corresponding first supplier information and/or second supplier information, selecting a first supplier end corresponding to each piece of filled first supplier information or a second supplier end corresponding to each piece of filled second supplier information.

According to the scheme, after all the first provider information and all the second provider information are determined, all the first provider information and all the second provider information are respectively filled and fused into corresponding supply chain nodes and are bound with the corresponding supply chain nodes, and after all necessary supply chain nodes are judged to be filled with the corresponding first provider information and/or the corresponding second provider information, each first provider end corresponding to the first provider information or the second provider end corresponding to the second provider information is selected.

The first supply end or the second supply end can be a computer end or a mobile phone end, so that information interaction can be realized, and a data processing terminal can be used.

In some embodiments, said S4 comprises S41-S43:

s41, the first supplier information is filled and fused into the supply chain node of the corresponding equipment, and the second supplier information is filled and fused into the supply chain node of the corresponding part.

The scheme is to fill and fuse the first supplier information into the supply chain node of the corresponding equipment (such as a transformer), and fill and fuse the second supplier information into the supply chain node of the corresponding part (such as part 1, part 2, etc.).

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

According to the scheme, after all the supply chain nodes are determined to have the corresponding provider information, necessary supply chain nodes in a preset supply chain are locked, and it can be understood that the necessary supply chain nodes are particularly important nodes and relate to the quality of electric power materials, so that the necessary supply chain nodes are nodes which need to be verified, and the scheme is used for locking the necessary supply chain nodes.

S43, after it is determined that all necessary supply chain nodes are filled with the corresponding first provider information and/or second provider information, selecting the first provider or the second provider corresponding to the first provider information or the second provider information of all necessary supply chain nodes and unnecessary supply chain nodes in the preset supply chain.

After the information is determined, the scheme selects the first supplier end or the second supplier end corresponding to the first supplier information or the second supplier information of all necessary supply chain nodes and unnecessary supply chain nodes in the preset supply chain, and prepares for information interaction and verification.

The scheme is provided with a preset selection strategy, a plurality of supply chain nodes can be respectively selected from a necessary supply node set and an unnecessary supply node set to obtain the identity of the equipment and/or the part corresponding to the corresponding supply chain node, wherein the identity can be the name of the corresponding supply end, and then the identity is shared to the corresponding first supply end or the second supply end.

After the first supply end or the second supply end receives the corresponding identity, the first supply end or the second supply end can be used for inputting feedback information, an evaluation coefficient of the electric power material can be generated according to the feedback information, and then remark information is added to the corresponding electric power material according to the evaluation coefficient.

In some embodiments, said S5 comprises S51-S54:

s51, all supply chain nodes in the necessary supply node set are selected, the identification marks of the equipment and/or parts corresponding to the corresponding supply chain nodes are extracted, and the identification marks are shared to the corresponding first supply end or second supply end.

It should be noted that, since the necessary supply nodes are particularly important, all the necessary supply nodes need to be verified, so the present solution selects all the supply chain nodes in the necessary supply node set, then extracts the ids of the devices and/or components corresponding to the corresponding supply chain nodes, shares the ids to the corresponding first supply end or second supply end, and verifies all the supply chain nodes in the necessary supply node set.

S52, determining the number of all supply chain nodes in the necessary supply node set to obtain the number of necessary nodes, determining the number of all supply chain nodes in the unnecessary supply node set to obtain the number of unnecessary nodes, comparing the number of necessary nodes with the number of preset nodes to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the number of unnecessary nodes to obtain the selection number of unnecessary nodes.

It should be noted that, because the supply chain nodes in the unnecessary supply node set are not very important and do not have a serious influence on the quality of the electric power material, the present solution does not verify all the supply chain nodes in the unnecessary supply node set, and may select some supply chain nodes from the unnecessary supply node set to verify. In this way, maximum verification can be achieved with limited verification resources.

When determining the selection number of unnecessary nodes, the present solution first determines the number of all supply chain nodes in the necessary supply node set to obtain the necessary node number, for example, 20, and then determines the number of all supply chain nodes in the unnecessary supply node set to obtain the unnecessary node number, for example, 10. And then comparing the necessary node number with the preset node number to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the unnecessary node number to obtain the unnecessary node selection number.

In some embodiments, S52 (the determining the number of all supply chain nodes in the necessary supply node set to obtain the necessary node number, and the number of all supply chain nodes in the unnecessary supply node set to obtain the unnecessary node number, comparing the necessary node number with the preset node number to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the unnecessary node number to obtain the unnecessary node selection number) includes S521-S523:

s521, subtracting the necessary node number from the preset node number, performing weighting calculation to obtain a node number offset coefficient, performing calculation according to the node number offset coefficient and the unnecessary node number to obtain a first offset node number, calculating the first offset node number according to the following formula,

wherein the content of the first and second substances,

for the first number of offset nodes,

in order to be able to determine the number of necessary nodes,

in order to pre-set the number of nodes,

the value is normalized for the number of bits,

in order to be a number weight value,

is a first constant value that is a function of,

in order to be able to determine the number of unnecessary nodes,

is a predetermined coefficient value.

In the above-mentioned formula,

the offset coefficient is representative of the number of nodes,

the difference value between the necessary node number and the preset node number is represented, the larger the difference value is, the more the necessary node number is, and the more the necessary node number is, the less the corresponding unnecessary node number is, therefore, the scheme can be used for a first constant value

Carrying out reduction adjustment to obtain a node number offset coefficient;

a value representing a dimension of the number of unnecessary nodes,

the larger the corresponding first offset node count needs to be. It should be noted that, in the following description,

need to be greater than

. Wherein the number weight value

And a preset coefficient value

May be preset by the operator.

S522, performing an integer process on the first offset node number, and if the first offset node number is determined to be greater than or equal to the minimum number, taking the first offset node number after the integer process as the unnecessary node selection number.

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

Meanwhile, the minimum number, for example, 2, is set in the present solution to ensure that necessary verification is performed on unnecessary supply nodes, and if it is determined that the calculated first offset node number is greater than or equal to the minimum number, the present solution takes the first offset node number after the integer processing as the unnecessary node selection number, for example, the calculated first offset node number is 3,3 is greater than the minimum number 2, and at this time, the present solution takes 3 as the unnecessary node selection number.

S523, if it is determined that the first offset node number is smaller than the minimum number, the minimum number is used as the unnecessary node selection number.

It can be appreciated that if the calculated first offset node number is 1, which is less than the minimum number 2, the present solution will take the minimum number 2 as the unnecessary node picking number to ensure that the unnecessary node dimension gets the minimum number of verifications.

S53, randomly selecting a plurality of supply chain nodes corresponding to the unnecessary node selection quantity in the unnecessary supply node set, extracting the identity of the equipment and/or the part corresponding to the randomly selected supply chain nodes, and sharing the identity to the corresponding first supply end or second supply end.

According to the scheme, a plurality of supply chain nodes corresponding to the selection quantity of the unnecessary nodes are randomly selected from the unnecessary supply node set, then the identity identifiers of the equipment and/or parts corresponding to the randomly selected supply chain nodes are extracted, the identity identifiers are shared to the corresponding first supply end or second supply end, and the unnecessary supply nodes in the unnecessary supply node set are selected and verified.

And S54, counting all the feedback information sent by the first supply end or the second supply end, generating an evaluation coefficient for the electric power materials according to all the feedback information, and adding remark information to the corresponding electric power materials according to the evaluation coefficient.

According to the scheme, the feedback information sent by all the first supply terminals or all the second supply terminals can be counted in real time, then all the feedback information is utilized to generate the evaluation coefficient of the power material, and finally the remark information is added to the corresponding power material according to the evaluation coefficient.

Wherein, S54 (the statistics of the feedback information sent by all the first supply terminals or the second supply terminals, the generation of the evaluation coefficient for the electric power material according to all the feedback information, and the addition of the remark information to the corresponding electric power material according to the evaluation coefficient) includes S541-S544:

s541, classifying the feedback information sent by the first supply end or the second supply end to obtain normal feedback information and abnormal feedback information sent by the first supply end or the second supply end, respectively.

The normal feedback information is, for example, "provided by the manufacturer", and the abnormal feedback information is, for example, "not provided by the manufacturer". According to the scheme, the feedback information sent by the first supply end or the second supply end is classified to obtain the normal feedback information and the abnormal feedback information sent by the first supply end or the second supply end respectively.

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

According to the scheme, the quantity of the normal feedback information sent by the supply chain nodes in the necessary supply node set is counted to obtain a first normal quantity, and the quantity of the abnormal feedback information is counted to obtain a first abnormal quantity.

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

Meanwhile, the scheme can count the number of the normal feedback information sent by the supply chain nodes in the unnecessary supply node set to obtain a second normal number, and count the number of the abnormal feedback information to obtain a second abnormal number.

S544, calculating according to the first normal quantity, the first abnormal quantity, the second normal quantity and the second abnormal quantity, generating a first evaluation coefficient for the electric power supplies, calculating the first evaluation coefficient for the electric power supplies through the following formula,

as a first evaluation coefficient, the evaluation coefficient,

in the case of the first normal number,

the first number of anomalies, the normal weight,

in order to be the weight of the anomaly,

is a first coefficient of the gradient to be a first coefficient of the gradient,

in the case of the second normal number,

in order to be the second number of anomalies,

is the second gradient coefficient.

In the above formula，

Represents the sub-evaluation coefficients corresponding to the necessary supply nodes, wherein,

coefficients representing a dimension of a first normal number, the first normal number

The more the coefficients are, the larger the corresponding coefficients of the first normal number dimension are, so that the overall first evaluation coefficient is larger; substitute for Chinese character' zhao

Coefficient of dimension of first abnormal number, first abnormal number

The more the number of the first anomaly is, the larger the coefficient of the corresponding first anomaly number dimension is, and the smaller the first evaluation coefficient is finally caused to be.

Represents sub-evaluation coefficients corresponding to unnecessary supply nodes, wherein,

coefficients representing a dimension of a second normal number, the second normal number

The more the second normal number dimension is, the larger the coefficient of the corresponding second normal number dimension is, so that the overall first evaluation coefficient is larger;

coefficients representing a dimension of a second number of anomalies, the second number of anomalies

The more, the correspondingThe larger the coefficient of the second anomaly number dimension is, the smaller the first evaluation coefficient is finally. Wherein the content of the first and second substances,

sum of normal weights

The anomaly weight may be preset by a human worker.

It is noted that, among them, the first gradient coefficient

Set greater than a second gradient coefficient

And the calculation ratio of the necessary node dimension is improved, so that the finally calculated first evaluation coefficient is more fit to the actual scene.

On the basis of the above embodiment, the method further comprises S545-S546:

s545, the number of unremitted feedbacks of the first or second provisioning end corresponding to the necessary provisioning node set is counted to obtain a first unreeeded number, and the number of unreeeded feedbacks of the first or second provisioning end corresponding to the unnecessary provisioning node set is counted to obtain a second unreeeded number.

It can be understood that, in practical applications, some nodes may not feed back information, which may cause influence on the overall calculation, and at this time, the present solution may count the number of the non-sent feedbacks of the first or second supply end corresponding to the necessary supply node set to obtain a first non-fed back number, and count the number of the non-sent feedbacks of the first or second supply end corresponding to the unnecessary supply node set to obtain a second non-fed back number.

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

wherein the content of the first and second substances,

as a second evaluation coefficient, the evaluation coefficient,

is a value for the normalization of the coefficients,

is a second constant value that is a function of,

for the first amount of non-feedback,

is a first non-feedback weight that is,

in order to be the second non-fed back quantity,

is the second unrefed-back weight.

In the above formula, the reduction coefficient corresponding to the necessary supply node dimension is represented,

representing the reduction coefficient corresponding to the dimension of the unnecessary supply node, and finally realizing the first evaluation coefficient

To obtain a relatively accurate second evaluation coefficient

。

In some embodiments, if the first evaluation coefficient is greater than or equal to the first standard coefficient, it is indicated that the quality of the current electric power material is guaranteed, most of manufacturers can be traced, and at this time, normal remark information is added to the electric power material by the scheme; if the first evaluation coefficient is smaller than the first standard coefficient, the quality of the current electric power materials cannot be effectively guaranteed, most of manufacturers cannot be traced, and abnormal remark information is added to the electric power materials; or

In some embodiments, if the second evaluation coefficient is greater than or equal to the second standard coefficient, it is indicated that the quality of the current electric power material is guaranteed, and most of manufacturers can be traced, and at this time, normal remark information is added to the electric power material by the scheme; if the second evaluation coefficient is smaller than the second standard coefficient, it is indicated that the quality of the current electric power materials cannot be effectively guaranteed, most of manufacturers cannot be traced, and then abnormal remark information is added to the electric power materials.

Referring to fig. 2, it is a schematic structural diagram of a data processing-based power supply chain full-chain data sharing system provided in the present invention, the data processing-based power supply chain full-chain data sharing system includes:

The present invention also provides a storage medium having a computer program stored therein, the computer program being executable by a processor to implement the methods provided by the various embodiments described above.

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 that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.

The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.

In the embodiment of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not depart from the spirit of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. The full-chain data sharing method of the power material supply chain based on data processing is characterized by comprising the following steps:

s3, receiving supply chain data sent by a first supply terminal to corresponding electric power supplies, wherein the supply chain data comprise first supplier information corresponding to the first supply terminal and second supplier information corresponding to each part of each electric power supply;

s4, respectively filling and fusing all the first supplier information and the second supplier information into corresponding supply chain nodes, and after judging that all necessary supply chain nodes are filled with the corresponding first supplier information and/or second supplier information, selecting a first supply end corresponding to each filling first supplier information or a second supply end corresponding to the second supplier information;

2. The data processing-based electric power material supply chain full-chain data sharing method according to claim 1,

the S1 comprises:

the server extracts material labels of the power materials stored in the warehouse, compares the material types corresponding to the material labels with a preset material corresponding table, and determines preset supply chains corresponding to the material labels, wherein each material label is provided with a preset supply chain corresponding to the material label in advance;

3. The data processing-based electric power material supply chain full-chain data sharing method according to claim 2, wherein the generation of the preset supply chain specifically includes:

receiving power material configuration data input by an administrator, wherein the power material configuration data comprise equipment and/or parts corresponding to each power material and inclusion relations among the equipment, the parts and the parts;

4. The data processing-based electric power material supply chain full-chain data sharing method according to claim 3,

the receiving of necessary node configuration data input by an administrator, the necessary node configuration data including a level number as a necessary supply chain node, adding a necessary node tag to a supply chain node of the configured level number, and adding a non-necessary node tag to a supply chain node of an unconfigured level number, includes:

5. The data processing-based electric power material supply chain full-chain data sharing method according to claim 3,

the S4 comprises the following steps:

after all the first provider information and the second provider information in the supply chain data are respectively filled into the corresponding supply chain nodes, locking the necessary supply chain nodes in the preset supply chain;

after judging that all necessary supply chain nodes are filled with corresponding first provider information and/or second provider information, selecting each selected one of all necessary supply chain nodes and unnecessary supply chain nodes in a preset supply chain to fill a first provider corresponding to the first provider information or a second provider corresponding to the second provider information.

6. The data processing-based electric power material supply chain full-chain data sharing method according to claim 5,

the S5 comprises the following steps:

determining the number of all supply chain nodes in a necessary supply node set to obtain the number of necessary nodes, determining the number of all supply chain nodes in a non-necessary supply node set to obtain the number of non-necessary nodes, comparing the number of necessary nodes with the number of preset nodes to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the number of non-necessary nodes to obtain the selection number of non-necessary nodes;

7. The data processing-based electric power material supply chain full-chain data sharing method according to claim 6,

the determining the number of all supply chain nodes in the necessary supply node set to obtain the number of necessary nodes and the number of all supply chain nodes in the unnecessary supply node set to obtain the number of unnecessary nodes, comparing the number of necessary nodes with the number of preset nodes to obtain a node number offset coefficient, and calculating according to the node number offset coefficient and the number of unnecessary nodes to obtain the selection number of unnecessary nodes includes:

performing weighted calculation to obtain node number offset coefficients, calculating to obtain a first offset node number according to the node number offset coefficients and the unnecessary node number, calculating the first offset node number by the following formula,

wherein the content of the first and second substances,

is the first number of offset nodes and,

in order to be able to determine the number of necessary nodes,

in order to pre-set the number of nodes,

the value is normalized for the number of bits,

in order to be a number of weight values,

is a first constant value that is a function of,

in order for the number of nodes to be unnecessary,

is a preset coefficient value;

performing integer processing on the number of the first offset nodes, and if the number of the first offset nodes is judged to be more than or equal to the minimum number, taking the number of the first offset nodes subjected to integer processing as unnecessary node selection number;

8. The data processing-based electric power material supply chain full-chain data sharing method according to claim 6,

the counting 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:

wherein the content of the first and second substances,

is a first evaluation coefficient of the first image data,

in the case of the first normal number,

is the first number of anomalies,

the weight of the normal weight is set to be,

in order to be the weight of the anomaly,

is a first coefficient of the gradient to be calculated,

in the case of the second normal number,

in order to be the second number of anomalies,

is the second gradient coefficient.

9. The data processing-based electric power material supply chain full-chain data sharing method according to claim 8, further comprising:

as a second evaluation coefficient, the evaluation coefficient,

is a value for the normalization of the coefficients,

is a second constant value which is a function of,

is the first amount of non-feedback,

is the first non-fed-back weight,

for the second amount of non-feedback,

is the second unrefed weight.

10. The data processing-based electric power material supply chain full-chain data sharing method according to claim 9,

if the first evaluation coefficient is larger than or equal to a first standard coefficient, adding normal remark information to the electric power materials, and if the first evaluation coefficient is smaller than the first standard coefficient, adding abnormal remark information to the electric power materials; or

11. A full-chain data sharing method and system of a power material supply chain based on data processing is characterized by comprising the following steps:

the receiving module is used for receiving supply chain data sent by a first supply end to corresponding electric power goods and materials, and the supply chain data comprise first supplier information corresponding to the first supply end and second supplier information corresponding to each part of each electric power goods and materials;