CN115330161A - Power infrastructure and subcontractor credit management method and system based on block chain technology - Google Patents

Power infrastructure and subcontractor credit management method and system based on block chain technology Download PDF

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CN115330161A
CN115330161A CN202210927442.5A CN202210927442A CN115330161A CN 115330161 A CN115330161 A CN 115330161A CN 202210927442 A CN202210927442 A CN 202210927442A CN 115330161 A CN115330161 A CN 115330161A
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吴威
何宏杰
刘毅
生红莹
方磊
石梁
徐铼
顾明清
徐剑峰
陈杰
万浩
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Nantong Power Supply Co Of State Grid Jiangsu Electric Power Co
State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses a block chain technology-based power infrastructure subcontractor credit management method and system, which are used for constructing a block chain technology-based power infrastructure subcontractor credit management system based on data interaction among all ring sections of credit management, and comprise a block chain layer, an expansion layer and an application layer; constructing a credit evaluation index system of the electric power capital construction sub-packet merchants, taking the influence of time attenuation factors on credit evaluation results into consideration, and performing comprehensive credit evaluation based on fuzzy hierarchical analysis; and combining the block chain technology with the electric power infrastructure actual, and performing credit data interaction based on the cross-chain technology and credit result query based on the proxy signature. The method can track the capital flow direction in the electric power infrastructure, supervise and urge subcontractors to standardize self behaviors, and improve the efficiency and quality of the infrastructure project.

Description

Power infrastructure and subcontractor credit management method and system based on block chain technology
Technical Field
The invention relates to the technical field of infrastructure industry management, in particular to a block chain technology-based power infrastructure subcontractor credit management method and system.
Background
Since the concept of new infrastructure construction is proposed, emerging technologies such as 5G, big data, artificial intelligence and block chains are playing increasingly remarkable driving roles, but a series of problems to be solved still exist in the infrastructure industry chain: the engineering capital flow direction information is not transparent enough and is not easy to track; the conditions of worker wages and project money default are serious; long-term management of the credit status of the SCE is difficult to achieve. With the expansion of infrastructure scale and the increase of project fund flow, the problems are highlighted continuously, and a corresponding management system needs to be constructed urgently.
A traditional management system usually adopts a centralized management mode, is difficult to realize comprehensive evaluation on the credit condition of a subcontractor, and has defects in the aspects of regulating the initiative of self behaviors of the subcontractor and guaranteeing the safety and the privacy of data. The credit management can embody the credit behaviors and the credit capability conditions of the capital construction subcontractors in a quantitative mode, realizes the differential management of the subcontractors, and is an important link in a future management system. The block chain is used as a decentralized distributed account book technology, has the characteristics of non-tampering, traceability and the like, and can meet the requirements of credit management on confidentiality, safety, functionality and the like. With the society emphasizing the importance of information security, combining the block chain technology with credit management, and constructing an all-round industry-wide information linkage credit management system is the main development direction of the society credit system in the future.
There has been much research on the application of block chain technology in the field of credit management, however, there is little research on the credit management of electric power infrastructure subcontractors in the existing literature, and no complete method or system is formed.
It can be seen that the existing research on block chain technology in the credit management of electric power infrastructure and subcontractors still needs to be improved.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a block chain technology-based electric power capital construction and subcontractor credit management method and system, a block chain-based credit management frame and a proxy signature-based credit query mechanism are designed by applying a fuzzy analytic hierarchy process, a time attenuation factor and a cross-chain technology, so that the enthusiasm of subcontractor for restricting self behaviors can be effectively mobilized, and long-term effective credit management is realized.
The invention adopts the following technical scheme.
A block chain technology-based power infrastructure subcontractor credit management method comprises the following steps:
(1) Constructing a block chain technology-based electric power infrastructure and subcontractor credit management system based on data interaction among all ring segments of credit management;
(2) Constructing a credit evaluation index system of the electric power capital construction sub-packet merchants, taking the influence of time attenuation factors on credit evaluation results into consideration, and performing comprehensive credit evaluation based on fuzzy hierarchical analysis;
(3) And combining the block chain technology with the electric power infrastructure, and performing credit data interaction based on the cross-chain technology and credit result query based on the proxy signature.
Further, the primary indexes of the electric power infrastructure and sub-package merchant credit evaluation index system are divided into three types, namely payment capacity, payment behavior and credit records, and each type of primary indexes comprises a plurality of secondary indexes and tertiary indexes.
Further, in the step (2), the comprehensive credit evaluation based on the fuzzy analytic hierarchy process comprises the following steps:
(2.1) analysis of respective Credit evaluation index elements A = { A } in the same-level index 1 ,A 2 ,…,A n The importance degree of pairwise comparison is obtained according to a fuzzy hierarchical analysis evaluation standard to obtain a fuzzy judgment matrix element r ij Obtaining a fuzzy judgment matrix R;
(2.2) solving a weight vector W = (W) of fuzzy hierarchy analysis according to the fuzzy judgment matrix 1 ,w 2 ,…,w n ) T
(2.3) checking the consistency of the fuzzy judgment matrix by using a judgment formula, and adjusting and recalculating the matrix which does not meet the consistency requirement;
and (2.4) calculating the fuzzy judgment matrix meeting the consistency according to the weight to obtain a credit comprehensive evaluation result.
Further, the step (2) includes calculating a corrected credit comprehensive evaluation result by taking into account the time decay factor and the credit comprehensive evaluation result at the past time:
Figure BDA0003780253780000021
in the formula, m p The credit comprehensive evaluation result of the electric power infrastructure subcontractor before p years; t is t p And (3) performing curve fitting on the Einghaos forgetting curve as a time attenuation factor, converting the curve fitting into a formula, and obtaining the time attenuation factor according to a normalization principle.
Further, in step (2.2), the weight vector W = (W) 1 ,w 2 ,…,w n ) T The solving process of (2):
the essential condition for consistency of the fuzzy judgment matrix R is that an n-order non-negative normalized weight vector W = (W) 1 ,w 2 ,…,w n ) T And a positive number a, such that:
Figure BDA0003780253780000031
summing the two sides of the above equation with j as a variable, we can get:
Figure BDA0003780253780000032
normalizing conditions according to weight vectors
Figure BDA0003780253780000033
Solving the above equation, we can obtain:
Figure BDA0003780253780000034
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003780253780000035
further, in the step (2.3), the consistency criterion FCR of the fuzzy judgment matrix is:
Figure BDA0003780253780000036
Figure BDA0003780253780000037
in the formula, the smaller the FCR is, the better the consistency of the matrix is; FCI is a fuzzy consistency check index and represents r ij The degree of contribution to the ambiguity to judge the inconsistency of the matrix R; FRI is an average random fuzzy consistency index and represents the average value of FCIs of a plurality of same-order random judgment matrixes.
Further, in step (3), the credit data interaction based on the cross-chain technology is as follows: the multiple signature notarization man-machine manufacturing is selected as a cross-chain technology in the electric power infrastructure industry, and data interaction among different block chains is realized through collection and verification of data on the chain.
Further, in step (3), the credit result query based on the proxy signature includes the following steps:
initialization: the capital construction subcontractor calculates a corresponding public key according to a freely selected private key and discloses the public key to all nodes so as to verify whether a holder of the public key signs a signature on the message;
digital signature authorization: the capital construction subcontractor calculates a group of proxy keys and then sends the proxy keys to the construction unit, and the construction unit checks the consistency of the keys; if the consistency is checked to pass, the construction unit regards the identity as valid authorization and discloses the authorization relation to all nodes on the chain, otherwise, a new proxy key is produced by the capital construction subcontractor or the authorization is stopped;
generating a proxy signature: after the construction unit generates an agent signature of the message to be signed, the agent signature and the original message are sent to a credit inquiry mechanism together;
and (3) proxy signature verification: after receiving the proxy signature and the original message, the credit inquiry mechanism verifies whether the proxy signature is valid by using a public key disclosed by the capital construction and subcontractor; if the message is valid, the construction unit has the right to look up the credit report of the capital construction subcontractor, otherwise, the message is not admitted;
and (3) generating a credit report: the credit inquiry mechanism generates a corresponding credit report according to the credit evaluation system of the electric power capital construction subcontractor and evaluates the performance capability and risk level of the subcontractor;
credit feedback: the credit inquiry agency presents the credit report of the inquired subcontractor to the construction organization.
A block chain technology-based electric power infrastructure and subcontractor credit management system comprises a block chain layer, an expansion layer and an application layer;
the block chain layer comprises a block chain technology and is used for constructing a capital construction project union chain and realizing the storage of project information and service interaction;
the expansion layer is based on a block chain technology and comprises a fuzzy analytic hierarchy process for credit comprehensive evaluation analysis, a cross-chain technology for inter-chain data communication and intercommunication and a proxy signature algorithm for third-party credit condition query;
the application layer combines the algorithm in the expansion layer with credit management, and comprises three application modes of credit data interaction, credit evaluation and credit result query.
Further, the blockchain layer comprises an asymmetric encryption algorithm, a consensus mechanism, a distributed ledger and an intelligent contract blockchain technology.
Further, the expansion layer can provide a customized specific algorithm according to actual requirements in the power infrastructure industry.
Compared with the prior art, the method has the advantages that differentiated management in the electric power infrastructure industry can be realized, the infrastructure subcontractors are supervised to standardize the credit behaviors of the infrastructure subcontractors, and the efficiency and the quality of infrastructure projects are improved.
The invention can ensure the reliability, safety and traceability of data in the credit management process and plays an important role in supervising and urging the capital construction and subcontractor to standardize self behaviors.
The credit management method provided by the invention applies a fuzzy analytic hierarchy process, a time attenuation factor and a cross-chain technology, designs a block chain-based credit management framework and a proxy signature-based credit inquiry mechanism, can effectively mobilize the enthusiasm of subcontractor to restrain self behaviors, and realizes long-term effective credit management.
The block chain technology used by the invention ensures the authenticity and credibility of data in the chain in credit management through the non-falsification and traceability of the chain structure and the safety of the encryption algorithm. The application of the alliance chain improves the consensus rate and reduces the operation cost, and compared with the current management method, the method has higher safety and economy.
The application of the cross-chain technology and the proxy signature provides more possibility for the development of the future power internet of things while meeting the requirement of the fusion development of the current block chain and the infrastructure industry.
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FIG. 1 is a schematic overall flow diagram of the present invention;
FIG. 2 is a block chain technology-based electric power infrastructure subcontractor credit management system of the present invention;
FIG. 3 is a schematic diagram of a credit behavior analysis architecture based on a cross-chain technology according to the present invention;
FIG. 4 is a flow diagram of the credit result inquiry mechanism based on proxy signature of the present invention;
FIG. 5 is a detail of the simulated block transaction on Remix IDE 0.4.26 for the credit result query mechanism based on proxy signatures of the present invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
Aiming at the problems of unclear capital flow direction, default engineering money and the like in the current electric power infrastructure industry chain, analyzing a data interaction mode among all the ring sections of electric power infrastructure subcontractor credit management, and constructing an electric power infrastructure subcontractor credit management system based on a block chain technology, as shown in fig. 2, the method comprises the following steps: the system comprises a block chain layer serving as a bottom layer supporting technology, an expansion layer for performing service discovery by utilizing an algorithm and an application layer for realizing a customization function, wherein the fusion and intercommunication of the block chain technology and credit management are realized through the connection of the three layers.
The block chain layer is used as a bottom layer framework support and is used for constructing a capital construction project alliance chain and realizing the storage of project information and service interaction;
the block chain layer mainly comprises block chain technologies such as an asymmetric encryption algorithm, a consensus mechanism, a distributed account book and an intelligent contract, and is the basis of the electric power infrastructure subcontractor credit management method.
From the viewpoint of the composition of the blockchain, the blockchain can be divided into a public chain, a federation chain, and a private chain according to the participation manner of the nodes. The alliance chain is a chain structure for a specific group, and data consensus is completed through a few elected bookkeepers. The alliance chain can limit the data read-write of the nodes on the chain in a mode of setting node permission, can improve the efficiency of achieving consensus by modifying the speed of the block, and reduces the running cost of the block chain while ensuring the characteristic that the data on the chain cannot be tampered. The private chain is a chain structure aiming at a single entity, nodes on the chain are all credible, the writing right of data is mastered by a single organization, and the transaction speed can be greatly improved.
The development of each service in the electric power infrastructure at the present stage is completed by an owner, a general packet, a sub packet, a supervision unit and an auditing unit together, so that a infrastructure project alliance chain is necessary to be constructed for daily management activities such as project information storage, service interaction and the like. And the private chain is adopted inside the capital construction subcontractor to protect the privacy of the data inside the private chain.
The second expansion layer is based on a block chain support technology and comprises a fuzzy analytic hierarchy process for credit comprehensive evaluation analysis, a cross-chain technology for inter-chain data communication and intercommunication and a proxy signature algorithm for third-party credit condition query;
in addition, the expansion layer can provide a customized specific algorithm according to actual requirements in the power infrastructure industry, and has certain flexibility and high efficiency.
The application layer is used for combining the block chain technology in the algorithm expansion layer with credit management, and comprises three application modes, namely a credit data interaction method, a credit evaluation system and credit result inquiry;
the credit data interaction method realizes data intercommunication among the private chain, the alliance chain and the alliance chain by utilizing a cross-chain technology, so as to obtain specific credit data of a subcontractor; the credit evaluation system carries out scientific evaluation on the credit behaviors of the capital construction subcontractors through credit evaluation indexes of the credit evaluation system, and realizes comprehensive evaluation on the credit behaviors of the capital construction subcontractors by using a fuzzy analytic hierarchy process; the credit result inquiry mechanism realizes third-party authorization by adopting a proxy signature algorithm, and a credit inquiry mechanism gives a credit report containing comprehensive credit evaluation results.
The credit management architecture comprises a block chain layer serving as a bottom layer supporting technology, an expansion layer for carrying out service discovery by utilizing an algorithm and an application layer for realizing a customization function, realizes the fusion and intercommunication of the block chain technology and the credit management through the connection of the three layers, and meets the requirements on safety, traceability, credibility and the like in the credit management of the electric power infrastructure subcontractor.
As shown in fig. 1, the method for managing electric power infrastructure and distributor credit based on the block chain technology includes the following steps:
(1) Analyzing a data interaction mode among the credit management ring sections, and constructing a block chain-based electric power capital construction and subcontractor credit management system;
(2) Constructing a credit evaluation index system of the electric power capital construction packet distributor, considering the influence of time attenuation factors on credit evaluation results, and providing a credit comprehensive evaluation method based on a fuzzy analytic hierarchy process;
the electric power capital construction subcontractor credit evaluation index system mainly aims at evaluating the credit condition and performance capability of subcontractors, has a corresponding hierarchical structure, the primary indexes of the system are divided into three types, namely payment capability, payment behavior and credit record, and each type of primary indexes covers a plurality of secondary indexes and tertiary indexes, as shown in table 1.
The payment capability refers to the capability of the current financial condition of the capital and subcontractors for paying off debts and paying due money; the payment behavior refers to the historical distrust behavior record of the capital construction subcontractor in the payment process; credit records refer to various types of reward and punishment conditions obtained by capital construction packet distributors.
TABLE 1
Figure BDA0003780253780000071
A credit comprehensive evaluation method based on a fuzzy analytic hierarchy process comprises the following specific steps:
(2.1) analysis of respective Credit evaluation index elements A = { A } in the same-level index 1 ,A 2 ,…,A n The importance degree of pairwise comparison, and a fuzzy judgment matrix element r is obtained according to the evaluation standard of the fuzzy analytic hierarchy process ij Obtaining a fuzzy judgment matrix:
Figure BDA0003780253780000072
wherein, it is to
Figure BDA0003780253780000073
Is r is ij +r ji =1,r ij The matrix elements are judged for the blur between the evaluation index i and the evaluation index j.
The evaluation criteria of the fuzzy chromatography are shown in Table 2.
TABLE 2
Figure BDA0003780253780000081
(2.2) weight vector W = (W) in fuzzy analytic hierarchy process 1 ,w 2 ,…,w n ) T The solution process of (2) is as follows:
the essential condition for consistency of the fuzzy judgment matrix R is that an n-order non-negative normalized weight vector W = (W) 1 ,w 2 ,…,w n ) T And a positive number a, such that:
Figure BDA0003780253780000082
summing the two sides of the above equation with j as a variable, we can obtain:
Figure BDA0003780253780000083
normalizing conditions according to weight vectors
Figure BDA0003780253780000084
Solving the above equation, we can obtain:
Figure BDA0003780253780000085
wherein the content of the first and second substances,
Figure BDA0003780253780000086
(2.3) checking the consistency of the fuzzy matrix by using a judgment formula, and adjusting and recalculating the matrix which does not meet the consistency requirement; in the method, a fuzzy consistency ratio FCR is used as a criterion of matrix consistency, and the criterion and a solving algorithm are as follows:
Figure BDA0003780253780000087
Figure BDA0003780253780000088
in the formula, the smaller the FCR is, the better the consistency of the matrix is; FCI is a fuzzy consistency check index and represents r ij The degree of contribution to the fuzzy judgment matrix R inconsistency; the FRI is an average random fuzzy consistency index and represents the average value of the FCIs of a plurality of random judgment matrices of the same order.
And (2.4) calculating the fuzzy matrix meeting the consistency according to the weight to obtain a credit comprehensive evaluation result.
In order to verify the accuracy and the practicability of the provided comprehensive credit evaluation method, the corresponding evaluation index weight is obtained after comprehensive analysis by investigating the scoring results of the credit evaluation indexes by experts in the field of electric power infrastructure. On the basis, the comprehensive credit evaluation result of the financial condition, the credit record and other related information of two electric power capital construction subcontractors is calculated. The calculations performed in the present invention were all simulated in Windows 10, and the corresponding processors were Intel (R) Core (TM) i5-6200UCPU @2.30GHz 2.40GHz.
According to the invention, by utilizing the scoring results of several experts in the field of electric power infrastructure obtained by investigation on credit evaluation indexes, a fuzzy judgment comparison matrix is constructed according to the fuzzy analytic hierarchy process, the constructed fuzzy judgment comparison matrix is subjected to consistency test, and the calculation result proves that the fuzzy judgment comparison matrixes listed in the invention all meet the consistency requirement. Finally, the determined credit evaluation index weights are shown in table 3.
TABLE 3
Figure BDA0003780253780000091
As can be seen from Table 3, the wages of the delinquent workers are weighted the highest among all the three-level indexes, and the project money of delinquent, appropriating and bucking is ranked the second. As a main source of problems to be solved urgently by power system infrastructure, worker pay payment and engineering money payment play more and more important roles in a credit evaluation system of a power infrastructure and subcontractor. The enterprise qualification grade occupies the minimum weight in all three-level indexes, so that the enterprise comprehensive credit evaluation result with lower qualification grade and smaller scale can not be seriously influenced by the credit evaluation result, and the fairness and the effectiveness of the credit evaluation system are ensured.
The financial status and credit records of some two electric power capital construction subcontractors are analyzed, and the comprehensive credit evaluation result of the capital construction subcontractors is determined according to the credit evaluation index weight calculation result, as shown in table 4. As can be seen from table 4, the composite credit rating score for power infrastructure SCE a is higher than that for power infrastructure SCE B. Furthermore, power infrastructure SCE A performs better than power infrastructure SCE B in terms of payment behavior and performs worse in terms of payment capabilities. The reason is that the weights of the wages of delinquent workers and the delinquent, appropriated and bucking project money in all three-level indexes are high, so that the effectiveness of the electric power infrastructure subcontractor credit evaluation system provided by the invention is verified.
TABLE 4
Three-level index Sub-packager A Sub-packaging business B
Enterprise qualification level A 11 80.00 80.00
Ratio of assets to liabilities A 21 78.00 85.22
Flow ratio A 22 70.60 83.65
Cash flow liability rate a 23 79.75 79.80
Net asset profitability A 31 80.66 81.76
Business profit margin A 32 70.53 91.02
Net interest rate of cash flow A 33 74.44 87.49
Engineering style B for defaulting, moving and bucking 11 90.00 80.00
Report false information B 12 95.00 80.00
Delinquent worker pay B 21 95.00 75.00
Payroll B is not established 22 90.00 70.00
Honor of enterprise C 11 85.00 95.00
Engineering honor C 12 75.00 95.00
Honor of employee C 13 80.00 85.00
Management layer failure record C 21 100.00 75.00
Enterprise bad record C 22 90.00 80.00
Comprehensive credit evaluation results 87.06 80.16
(2.5) considering the influence of the time attenuation factor on a credit evaluation system to obtain a corrected credit comprehensive evaluation result, which specifically comprises the following steps:
taking into account the time decay factor and the credit evaluation result of the past time, the modified credit comprehensive evaluation result is expressed as:
Figure BDA0003780253780000111
in the formula, m p The credit comprehensive evaluation result of the electric power infrastructure subcontractor before p years; t is t p Is a time attenuation factor, which selects a curve law of a reference Ebingos forgetting curve; curve fitting is carried out on the Ebinghaos forgetting curve, the curve fitting is converted into a formula, and then the formula is normalized according to the normalization principle
Figure BDA0003780253780000112
The resulting time decay factor is:
Figure BDA0003780253780000113
(3) The block chain technology is combined with the actual power infrastructure industry, a credit data interaction mode based on the cross-chain technology and a credit result query mechanism based on proxy signature are designed, and a complete credit management flow is constructed;
the electric power infrastructure subcontractor credit evaluation system is a comprehensive credit evaluation performed according to data such as subcontractor payment capacity, payment behaviors, credit records and the like, so the credibility and the validity of the data are key points for determining the accuracy of a final result. The existing block chain project is a heterogeneous block chain constructed by different units according to different project practicability requirements and by adopting different chain structures and consensus mechanisms, and great difficulty exists in data communication.
In order to solve the problem that subcontractor data in heterogeneous block chain projects are difficult to acquire, the method adopts a cross-chain technology to realize data intercommunication among different block chain projects. The chain crossing technology realizes data interaction between different block chains through collection and verification of data on the chains, and meanwhile, the problem of double flowers cannot occur due to the fact that data in distributed accounts books on different chains need to be changed consistently. Therefore, the most important issue in the cross-chain technology is how to ensure that data on different blockchains can be synchronized.
The credit data interaction mode based on the block chain technology specifically comprises the following steps: the multiple signature notarization man-machine manufacturing is selected as a cross-chain technology in the electric power infrastructure industry, and data interaction among different block chains is realized through collection and verification of data on the chain.
Because the number of nodes in the electric power infrastructure industry is small, a supervision node with high trust degree exists, and the supervision node is matched with a notary mechanism which only needs one notary or one group of notaries to make credit endorsements, the method selects the multiple signature notary man-machine manufacture as the chain crossing technology in the electric power infrastructure industry, the mechanism is realized by respectively selecting credible notary nodes as notary groups through different block chains, and multiple signatures are jointly completed after data on the other chain is verified, and the operation efficiency of chain crossing can be improved while the central risk is weakened.
The credit behavior analysis architecture based on the cross-chain technology is shown in fig. 3, and the sources of the capital construction and subcontractor credit evaluation data are divided into the following three types: the first type is that the specific credit behavior data of the subcontractor in the engineering project is obtained by electing a proctorial node on a capital construction project alliance chain and a subcontractor node on a subcontractor private chain as a notary group; the second type is that the credit expression condition in the infrastructure projects participated by subcontractors is obtained through a plurality of proctorial nodes on different infrastructure alliance chains; and the third type is that the payment capacity, payment behavior and credit record data of the subcontractor are obtained through a proctorial node on the capital construction project alliance chain and an association node on the capital construction industry alliance chain, so that a credible data source is provided for a credit evaluation system.
The credit result inquiry is a mechanism for a third party to obtain the comprehensive evaluation result of the credit of the SCE through a credit inquiry mechanism, and is an important link in the credit management method. In the capital construction project alliance chain, when participating in various bidding activities, the capital construction subcontractors need to show credit reports of the capital construction subcontractors to the construction units to obtain corresponding qualifications. Since the credit status of the SCE is private information, the digital signature of the SCE is required to be obtained from the credit inquiry mechanism, however, the digital signature is important for each node to participate in the negotiation and transaction process, and has strict confidentiality. Therefore, it is impossible for the construction organization to directly use the digital signature of the capital construction subcontractor to obtain the corresponding credit report.
In order to solve the problems, the invention adopts a proxy signature mechanism to realize digital signature authorization in a secure environment. In the block chain, the digital signature is important information for each node to participate in the consensus process and sign the intelligent contract, and has strict confidentiality. The proxy signature mechanism can entrust the authority on the block chain to other nodes while realizing the security of the private key of the proxy signature mechanism, thereby avoiding related risks. The digital signature of the subcontractor is entrusted to the construction unit by using an agent signature mechanism, and the construction unit inquires the credit report of the subcontractor, so that the authenticity and the reliability of the credit report can be ensured.
As shown in fig. 4, the credit result inquiry mechanism based on proxy signature includes the following steps:
initialization: the capital construction subcontractor calculates a corresponding public key according to a freely selected private key and discloses the public key to all nodes so as to verify whether a holder of the public key signs a signature on the message;
digital signature authorization: the capital construction subcontractor calculates a group of proxy keys and then sends the proxy keys to the construction unit, and the construction unit checks the consistency of the keys; if the consistency is checked to be passed, the construction unit regards the chain as valid authorization and discloses the authorization relation to all nodes on the chain, otherwise, a new proxy key is produced by the capital construction subcontractor or the authorization is stopped;
generating a proxy signature: after the construction unit generates an agent signature of the message to be signed, the agent signature and the original message are sent to a credit inquiry mechanism together;
proxy signature verification: after receiving the proxy signature and the original message, the credit inquiry mechanism verifies whether the proxy signature is valid by using a public key disclosed by a capital construction subcontractor; if the message is valid, the construction unit has the right to look up the credit report of the capital construction subcontractor, otherwise, the message is not admitted;
and (3) generating a credit report: the credit inquiry mechanism generates a corresponding credit report according to the electric power infrastructure subcontractor credit evaluation system, and evaluates the performance capability and the risk level of subcontractors;
credit feedback: the credit inquiry agency presents the credit report of the inquired subcontractor to the construction organization.
The credit result query mechanism can be realized through the transaction between the authorized person and the credit query mechanism, and the authorized person can utilize the proxy signature of the original signer to perform specific query operation in the transaction process. The present invention simulates a credit result query mechanism based on proxy signature on Remix IDE 0.4.26, and the result is shown in fig. 5.
Compared with the prior art, the method has the advantages that differentiated management in the electric power infrastructure industry can be realized, the infrastructure subcontractors are supervised to standardize the credit behaviors of the infrastructure subcontractors, and the efficiency and the quality of infrastructure projects are improved.
The invention can ensure the reliability, safety and traceability of data in the credit management process and plays an important role in supervising and urging the capital construction and subcontractor to standardize self behaviors.
The credit management method provided by the invention applies a fuzzy analytic hierarchy process, a time attenuation factor and a cross-chain technology, designs a block chain-based credit management framework and a proxy signature-based credit query mechanism, can effectively mobilize the enthusiasm of subcontractor to restrain self behaviors, and realizes long-term effective credit management.
The block chain technology used by the invention ensures the authenticity and credibility of data in the chain in credit management through the non-falsification and traceability of the chain structure and the safety of the encryption algorithm. The application of the alliance chain improves the consensus rate and reduces the operation cost at the same time, and the alliance chain management method is safer and more economical than the existing management method.
The application of the cross-chain technology and the proxy signature meets the requirement of the fusion development of the current block chain and the capital construction industry, and provides more possibility for the development of the future power internet of things.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.

Claims (11)

1. A block chain technology-based power infrastructure subcontractor credit management method is characterized by comprising the following steps of:
(1) Constructing a block chain technology-based electric power capital construction and subcontractor credit management system based on data interaction among the credit management ring sections;
(2) Constructing a credit evaluation index system of the electric power capital construction sub-packet merchants, taking the influence of time attenuation factors on credit evaluation results into consideration, and performing comprehensive credit evaluation based on fuzzy hierarchical analysis;
(3) And combining the block chain technology with the electric power infrastructure actual, and performing credit data interaction based on the cross-chain technology and credit result query based on the proxy signature.
2. The method according to claim 1, wherein the power infrastructure SCE credit management system comprises,
the electric power capital construction and subcontractor credit evaluation index system is characterized in that a primary index of the electric power capital construction and subcontractor credit evaluation index system is divided into three types, namely payment capacity, payment behavior and credit record, and a plurality of secondary indexes and tertiary indexes are covered under each type of primary index.
3. The method of claim 2, wherein the credit management system comprises a credit management module,
in the step (2), the comprehensive credit evaluation based on the fuzzy analytic hierarchy process comprises the following steps:
(2.1) analysis of respective Credit evaluation index elements A = { A } in the same-level index 1 ,A 2 ,…,A n Comparing every two important degrees, and obtaining a fuzzy judgment matrix element r according to a fuzzy level analysis evaluation standard ij Obtaining a fuzzy judgment matrix R;
(2.2) solving a weight vector W = (W) of fuzzy hierarchy analysis according to the fuzzy judgment matrix 1 ,w 2 ,…,w n ) T
(2.3) checking the consistency of the fuzzy judgment matrix by using a judgment formula, and adjusting and recalculating the matrix which does not meet the consistency requirement;
and (2.4) calculating the fuzzy judgment matrix meeting the consistency according to the weight to obtain a credit comprehensive evaluation result.
4. The method of claim 3, wherein the credit management system comprises a credit management module,
step (2), further comprising calculating a time attenuation factor and a credit comprehensive evaluation result of the past time, and calculating a corrected credit comprehensive evaluation result:
Figure FDA0003780253770000021
in the formula, m p The credit comprehensive evaluation result of the electric power infrastructure subcontractor before p years; t is t p And (3) performing curve fitting on the Einghaos forgetting curve as a time attenuation factor, converting the curve fitting into a formula, and obtaining the time attenuation factor according to a normalization principle.
5. The method of claim 3, wherein the credit management system comprises a credit management module,
in step (2.2), the weight vector W = (W) 1 ,w 2 ,…,w n ) T The solving process of (2):
the essential condition for consistency of the fuzzy judgment matrix R is that an n-order non-negative normalized weight vector W = (W) 1 ,w 2 ,…,w n ) T And a positive number a, such that:
Figure FDA0003780253770000022
summing the two sides of the above equation with j as a variable, we can get:
Figure FDA0003780253770000023
normalizing conditions according to weight vectors
Figure FDA0003780253770000024
Solving the above equation, we can obtain:
Figure FDA0003780253770000025
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003780253770000026
6. the method according to claim 3, wherein the power infrastructure SCE credit management system further comprises,
in the step (2.3), the consistency criterion FCR of the fuzzy judgment matrix is:
Figure FDA0003780253770000027
Figure FDA0003780253770000028
in the formula, the smaller the FCR is, the better the consistency of the matrix is; FCI is a fuzzy consistency check index and represents r ij The degree of contribution to the ambiguity to judge the inconsistency of the matrix R; FRI is an average random fuzzy consistency index and represents the average value of FCIs of a plurality of same-order random judgment matrixes.
7. The method according to claim 1, wherein the power infrastructure SCE credit management system comprises,
in the step (3), the credit data interaction based on the cross-chain technology is as follows: the multiple signature notarization man-machine manufacturing is selected as a cross-chain technology in the electric power infrastructure industry, and data interaction among different block chains is realized through collection and verification of data on the chain.
8. The method of claim 1, wherein the credit management system comprises a credit management module,
in the step (3), the credit result query based on the proxy signature comprises the following steps:
initialization: the capital construction subcontractor calculates a corresponding public key according to a freely selected private key and discloses the public key to all nodes so as to verify whether a holder of the public key signs a signature on the message;
digital signature authorization: the capital construction subcontractor calculates a group of proxy keys and then sends the proxy keys to the construction unit, and the construction unit checks the consistency of the keys; if the consistency is checked to pass, the construction unit regards the identity as valid authorization and discloses the authorization relation to all nodes on the chain, otherwise, a new proxy key is produced by the capital construction subcontractor or the authorization is stopped;
and (3) generating a proxy signature: after the construction unit generates an agent signature of the message to be signed, the agent signature and the original message are sent to a credit inquiry mechanism together;
and (3) proxy signature verification: after receiving the proxy signature and the original message, the credit inquiry mechanism verifies whether the proxy signature is valid by using a public key disclosed by a capital construction subcontractor; if the information is valid, the construction unit has the right to look up the credit report of the capital construction subcontractor, otherwise, the information is not admitted;
and (3) generating a credit report: the credit inquiry mechanism generates a corresponding credit report according to the credit evaluation system of the electric power capital construction subcontractor and evaluates the performance capability and risk level of the subcontractor;
credit feedback: the credit inquiry agency presents the credit report of the inquired subcontractor to the construction organization.
9. A block chain technology-based electric power infrastructure subcontractor credit management system is characterized by comprising a block chain layer, an expansion layer and an application layer;
the block chain layer comprises a block chain technology and is used for constructing a capital construction project union chain and realizing the storage of project information and service interaction;
the expansion layer is based on a block chain technology and comprises a fuzzy analytic hierarchy process for credit comprehensive evaluation analysis, a cross-chain technology for inter-chain data communication and intercommunication and a proxy signature algorithm for third-party credit condition query;
the application layer combines the algorithm in the expansion layer with credit management, and comprises three application modes of credit data interaction, credit evaluation and credit result query.
10. The system according to claim 9,
the block chain layer comprises an asymmetric encryption algorithm, a consensus mechanism, a distributed ledger and an intelligent contract block chain technology.
11. The system according to claim 9,
the expansion layer can provide a customized specific algorithm according to actual requirements in the power infrastructure industry.
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