A trusted self-decisioning model of process parameters optimization based on smart contract and CPSO_DNN
Aiming at the difficulty of the complex process relationship in the manufacture of process production optimization and non-guaranteed optimizing efficiency.A trusted self-decisioning model for process parameter optimization(PPO-TS)is proposed based on smart contract technology and an improved chaotic particle swarm optimization algorithm.Firstly,data integration and storage mechanism based on blockchain are designed that are suitable for process technological characteristics,and data up-linking technology is adopted to achieve data credible storage.Then,formulate optimal decision smart contract mechanism is designed,which uses smart contract to build process parameter optimization network based on blockchain broadcast communication protocol.The data access,quality self-decision,self-decision execution smart contract are compiled after the network is started.Self-decision and self-execution are completed by automatically triggering process parameter optimization transaction.And on this basis,the optimal algorithm(CPSO_DNN)is built to complete the optimization of process manufacturing parameters.Finally,the model's availability and efficiency are verified by taking the data of the silk production line collected,which provides a new idea for the optimization of process parameters.
process manufacturingblockchainsmart contractstrusted data storageself-determination of process parametersprocess parameter optimization
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