基于DDPG与区块链的工业物联网关键技术研究

Research on Key Technologies of Industrial Internet of Things Based on DDPG and Blockchain

近年来,IIoT(工业物联网)的发展十分迅速,其应用场景也极为丰富,如传感器、机器人、自动化设备等[1]。工业物联网在实际应用中会产生大量的数据,数据的隐私性及安全性是十分重要的。目前,区块链技术被广泛地认为是实现数据安全高效存储/处理/共享的一种有前途的解决方案,但区块链在扩展性、去中心化程度、安全性及延迟上四个方面存在着相互制约。利用深度强化学习可以更好地在上述四个方面实现较好的平衡,使得区块链能够满足工业物联网的吞吐量的同时有较好的其他性能。

In recent years,IIoT(Industrial Internet of Things)has developed rapidly,and its application scenarios are extremely rich,such as sen⁃sors,robots,automation equipment,etc.At the same time,the industrial Internet of things will produce a lot of data in practical application,the privacy and security of data is very important.At present,blockchain technology is widely considered as a promising solution to realize data safe and efficient storage/processing/sharing.However,there are four constraints on the blockchain in terms of scalability,decentral⁃ization,security and latency.The use of deep reinforcement learning can find a better balance in the four aspects,so that the blockchain can meet the throughput of the industrial Internet of things and have better other performance.