Research On Blockchain Consensus And Multi-chain Strategy For Intelligent Manufacturing

Intelligent Manufacturing Cyber Physical System(CPS)is the product of technological innovation and industrial revolution.It is the main feature of a CPS that the industrial production process becomes automated and smart,intelligent manufacturing is the developing trend for the industry in the future.However,there are still some problems to be solved in the CPS: First of all,whether the communication data of the manufacturing equipment in the distributed environment is authentic and reliable.Then whether the equipment is credible and the number of devices involved in the intelligent manufacturing process is numerous.This leads to a huge amount of data generated by communication between devices in the production process.The centralized database storage brings a large storage pressure to the third-party server,and the centralized storage method also is in a certain degree of security risks.Once the central storage server is faulty or attacked,the entire of manufacturing system will face the threat of shutting down.The consensus mechanism in the blockchain technology can be verified in the system by verifying the data through all or most of the nodes,which can effectively ensure the data is true and reliable in the system.A small number of malicious nodes cannot tamper with the data through most of node verification in the system,which ensures that the nodes in the system are trusted.In addition,the data storage is distributed and stored on each node in the system,avoiding the potential danger caused by centralized storage.To solve the above problems in the intelligent manufacturing process,this paper propose a method combing blockchain technology with CPS.However,the current consensus algorithm consumes more resources and its degree of decentralization is incomplete,the system require costing dedicated space,and each node require to store more irrelevant data,which is difficult to meet the application requirements of intelligent manufacturing.In this paper,we focus on those problem to make studies.And the results are as follows:(1)The consensus algorithm require the resource consumption and its incomplete decentralization in the blockchain.To solve this problem,we propose a consensus algorithm based on device node validity.And a certain time window is used as the time unit of the,dynamically selecting the accounting node.The experimental results show that the algorithm enhances the degree of decentralization of the system,reduces the resource consumption of the device and is more suitable for the application of intelligent manufacturing.(2)The storage capacity of the CPS device is limited,the single-chain storage makes the system's concurrent processing capability for data weak and each device stores this large amount of redundant data,slowing the data query speed of the system.To Solve those problem,this paper describes an approach that groups the numerous devices in the system according to certain rules,then separately storing the device data to form a multichain storage structure in a blockchain system.The experimental results show that the method reduces the storage pressure on the equipment,improves the concurrency capability among the manufacturing devices and the speed of processing relevant da ta caused by the manufacturing devices,and completes the production tasks in a more efficient way.(3)The system platform of intelligent manufacturing system based on block chain is introduced and described in detail.And on the basis of the original structure of blockchain,the consensus algorithm based on node validity and multi-chain strategy based on node community clustering proposed in this paper are integrated.