基于强化学习算法的能源工业云网智能接入方法研究

Research on Intelligent Access Method of Energy Industry Cloud Network based on Reinforcement Learning Algorithm

针对多种通信协议结合强化学习算法设计一个通用的可智能解析的协议接口,加快协议间的模式匹配,降低数据传输的延时性,提高工业物联网的时效性。实现无缝切换不同的数据接口以适应不同的网络通信模式。同时,如何通过强化学习使获取的动作策略确定一种统一的数据接口规范,可使得平台接入体系对于多源异构电工装备的数据达到良好的兼容性,为电工装备智慧物联体系与应用提供数据基础。

A universal intelligently resolvable protocol interface is designed for multiple communication protocols combined with reinforcement learning algorithm to speed up pattern matching between protocols,reduce the delay of data transmission,and improve the timeliness of the Industrial Internet of Things so as to realize seamless switching between different data interfaces to adapt to different network communication modes.At the same time,how to determine a unified data interface specification for the acquired action strategy through reinforcement learning can make the platform access system achieve good compatibility with the data of multi-source heterogeneous electrical equipment,and provide data basis for the intelligent system and application of electrical equipment.