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Equipment Failure Detection Method of Substation Based on Tunnel Robot

机译:基于隧道机器人的变电站的设备故障检测方法

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Indoor substation is critical facilities of power system, therefore inspection of substation equipment is crucial to ensure the security of power supply. Substation inspection robot can collection information through variety of sensors, then the appropriate approach is used to determine the operational status of the substation equipment. The state of most indoor substation device can be acquired by image collection, but this method is not applicable to all devices. A new method of monitoring the operational status of equipment in the substation is put forward in this paper. The audio signal is collected by dual channel collection equipment which is brought in the indoor intelligent robot. The angle information of collected signal is calculated according to signal procession theory. The operational status of equipment can be obtained easily by analyzing the angular information. Simulation result indicate the feasibility of the method. It combines audio signal procession and intelligent surveillance robot and the system is low cost and simple to realize with certain engineering value.
机译:室内变电站是电力系统的关键设施,因此检查变电站设备是至关重要的,以确保电源的安全性。变电站检查机器人可以通过各种传感器收集信息,然后采用适当的方法来确定变电站设备的操作状态。可以通过图像集合获取大多数室内变电站设备的状态,但这种方法不适用于所有设备。本文提出了一种监测器材中设备运行状态的新方法。音频信号由双通道收集设备收集,该设备带入室内智能机器人。根据信号处理理论计算收集信号的角度信息。通过分析角度信息,可以轻松获得设备的操作状态。仿真结果表明该方法的可行性。它结合了音频信号加工和智能监控机器人,并且系统具有低成本且易于实现某些工程值。

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