Research on cooperative control model of power grid equipment manufacturing quality risk under blockchain

Abstract

Power grid equipment is a major infrastructure for constructing a new power system and promoting the rapid development of new quality productivity. The reliability of power grid equipment manufacturing quality is particularly important. In order to improve the quality risk management capability of power grid equipment, this study firstly identifies and evaluates the quality risk factors based on text mining technology, complex network theory and machine learning algorithm. Secondly, it constructs a blockchain-based cloud supervision manufacturing model for real-time quality risk control. It analyses the gaming behaviours and strategy choices of grid company, manufacturer and quality inspector in the blockchain environment for realizing the collaborative control. Thirdly, with the above three-party game strategy, a multi-objective quality risk control model is further presented under the blockchain. It considers the quality traceability, quality consistency, and customer satisfaction, for controlling the grid equipment manufacturing quality risk. Finally, the improved particle swarm algorithm (IPSO) is used to solve the case study. The results show that the blockchain technology can help to reduce the equipment manufacturing quality risk, and improve the equipment manufacturing quality performance. This study provides a theoretical basis and practical guidance for the management and control of quality risk in the grid equipment manufacturing.