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Credit evaluation for power infrastructure contractors based on blockchain technologies and fuzzy analytic hierarchy process

Authors :
Gaofeng Zhou
Tianhan Zhang
Hongying Sheng
Lei Fang
Lai Xu
Jianfeng Xu
Jie Chen
Hao Wan
Li Yang
Zhenzhi Lin
Source :
Energy Reports, Vol 7, Iss, Pp 896-905 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

With the continuous expansion of power infrastructure scale and the ceaseless growth of project funding, problems such as the opaque flow of capital, the arrears of workers’ wages and project funds, and the lack of a sound management mechanism become more and more serious. Therefore, a credit management method for infrastructure contractors of power systems based on blockchain is proposed. First, a blockchain-based framework of contractor credit management is designed for solving the infrastructure problems above. On this basis, a credit evaluation system is constructed for infrastructure contractors of power systems. Then, a credit behavior analysis method based on cross-chain technology and the credit result query mechanism based on proxy signature is proposed to realize the data interaction and the credit result query. Finally, the effectiveness and accuracy of the proposed method are illustrated by the case study. The simulation results show that the method proposed in this work can effectively reflect the credit status of power infrastructure contractors and the wages payment has the highest weight of 0.2240 among all the third level indicators with its obvious important role in power infrastructure management.

Details

Language :
English
ISSN :
23524847
Volume :
7
Database :
OpenAIRE
Journal :
Energy Reports
Accession number :
edsair.doi.dedup.....f67cb27cf406ac6d0047f37250d1f3d8