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Nowadays, the construction of smart grids and new digital infrastructure is vigorously promoted by the government, so that the power infrastructure is gradually developing towards intelligence and digitization. However, various challenges such as the industry barrier difficult to remove, the unclear supervision policy, and unmatured technology specifications are brought into the present infrastructure construction. In order to improve the timeliness and accuracy of the power infrastructure fund payment, increase the credibility of data, and enhance the quality and effectiveness of supervision and review, a blockchain-based smart payment scheme for power infrastructure is proposed in this work. First, a smart payment business framework of power infrastructure based on blockchain technology is designed. On this basis, the overall framework of the smart payment scheme and the relationships between participants of the blockchain are analyzed. Then, the smart contract for power infrastructure fund payment based on Remix IDE is customized and the correctness and efficiency of the scheme are verified. Finally, the effectiveness and advantages of the scheme are analyzed from the perspective of reliability, security, and efficiency. The simulation result shows that the smart contract based payment process of power infrastructure funds can be optimized and simplified by the proposed scheme and the overall processing time can be reduced by more than 30%.

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.