Using blockchain technology in IoT manufacture environment for intelligence prediction

Blockchain technology has become more important in recent years in Internet of Things (IoT) manufacturing. Many IoT manufacturing factories have successively invested in the blockchain architecture in the system to manage the data of the IoT manufacturing system for intelligence prediction. The blockchain-based system architecture can ensure the process of data transmission and preservation. However, any node must hold complete blockchain information. When there are thousands of nodes, the cost of hard disk space for storing these data will increase drastically as the number of nodes increases. In order to solve the above problems, this paper proposed a blockchain structure to reduce the space and network transmission costs. This architecture divides the traditional blockchain into two parts, which are divided into private blockchain and public blockchain according to the edge and the cloud. Each workshop will manage its own private blockchain, and the cloud will manage itself public blockchain. Under the proposed structure, each working node only needs to maintain the blockchain at its edge node and does not need to communicate with other edge node. The experimental results can effectively intelligence predict the space cost of node expansion, and it can also avoid the unnecessary network communication overhead caused by the traditional architecture. It can improve the space used of blockchain and reduce the network transfer time, and the cost of expanding nodes can be greatly reduced.

Automated summary

This paper highlights the importance of using blockchain technology in the Internet of Things manufacturing. It proposes a blockchain architecture that divides the traditional blockchain into private and public parts, reducing space and network costs. Each workshop maintains its own private blockchain, while the cloud manages the public blockchain, minimizing communication between nodes. Experimental results show that this architecture effectively predicts the space cost of node expansion and reduces network communication overhead.