Power Transaction Settlement Model Based on Blockchain in the Intelligent Internet of Things

Artificial intelligence has the ability of self-learning and self-adaptation. It has become one of the important methods to study the trading behavior of the participants in the electricity market. With the rapid development of the smart grid and the rise of the Internet of Things and blockchain, the combination of the three has become one of the development directions of the power industry in the future. Considering the problem of low expansibility of distributed transaction data after the combination of blockchain and microservices, this paper proposes an electricity transaction settlement model based on blockchain under the intelligent Internet of Things. Firstly, the intelligent Internet of Things collects data through power equipment and transmits it to the blockchain to build a distributed network of Software-defined networking (SDN). Secondly, to meet the operation architecture data unification of different intelligent terminals, the micro-service architecture is adopted. That is to say, through the combination of the power trading business and marketing management system, it is decomposed into multiple large-scale power trading micro-service architecture clusters from the perspective of the power trading business. Moreover, in view of the high frequency of data calls, it is necessary to optimize the microservice architecture continuously. Finally, according to the embedded system execution mechanism and other functions, the multi-sub-chain fog layer architecture design is introduced under the micro-service architecture design. Multiple threads are started in the transaction process to maintain the corresponding sub-chain. The complete test shows that the system does not run at full load under the condition of ensuring the calculation accuracy. This has verified that the system fully meets the computing power requirements of medium and long-term electricity transaction settlement, and also achieves the desired results in accuracy and power consumption.