Application of edge computing in control system of shearer
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摘要: 基于远端云计算的采煤机控制系统中大多数采煤机原始数据计算都是放在远端云平台中执行,存在数据传输可靠性低及延时长等问题,无法满足采煤机无人化控制中对实时计算的要求。针对上述问题,提出了一种基于KubeEdge边缘计算的采煤机控制系统。以采煤机高精度定位和机器视觉检测应用为例,介绍了基于KubeEdge的边缘计算架构在采煤机控制系统中的实现方法并进行了测试。测试结果表明,边缘计算在采煤机控制系统中的应用实现了采煤机相关数据在边缘侧的计算及计算结果在远端云平台的同步,实现了采煤机远端云平台的数据通信和同步,即边缘节点负责计算数据,远端云平台负责显示结果,解决了基于远端云计算的采煤机控制系统存在数据传输可靠性低、延时长的问题。边缘计算和远端云计算共同构建了新型采煤机控制系统网络应用平台,是采煤机控制系统无人化应用的研究方向。Abstract: In shearer control system based on remote cloud computing, most of the shearer original data calculation is performed in remote cloud platform, which has problems such as low reliability of data transmission and long time delay, and cannot meet requirements of real-time calculation in the unmanned control of shearer. To solve the above problems, a kind of shearer control system based on KubeEdge edge computing was proposed. Taking application of high precision location and machine vision detection of shearer as examples, the realization method and test of the edge computing architecture based on KubeEdge in the control system of shearer was introduced. The test results show that the application of the edge computing in the control system of the shearer realizes calculation and processing of relevant data of the shearer on the edge side and synchronization of calculation and processing results on remote cloud platform, implements data communication and synchronization of remote cloud platform of shearer, namely the edge node is responsible for the calculation data, remote cloud platform is responsible for the display results, which solves problems of low reliability of data transmission and long time delay existed in control system of shearer based on remote cloud computing. Edge computing and remote cloud computing jointly build a new shearer control system network application platform, which is the research direction of unmanned application of shearer control system.
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