【摘要】 传统监测系统在台区故障监测应用中常出现误测现象，且误测率较高，为此提出基于云平台的台区故障监测系统设计。系统硬件部分包括故障信号采集卡、微处理器以及预警器设备，利用故障信号采集卡采集台区故障信号，通过微处理器对故障信号进行处理并且对系统监测命令进行响应，通过预警器对台区故障进行及时预警；系统软件部分设计故障信号编码协议对台区故障信号进行分类，同时对台区故障进行编码，利用云平台分析台区故障信号，计算出台区故障概率，将其分析结果作为系统输出，以此实现基于云平台的台区故障监测系统设计。经实验证明，设计系统对于台区故障的误测率小于当前系统，具有较好的可行性和可靠性。更多还原

【Abstract】 Traditional monitoring systems often have false detections in the application of platform fault monitoring, and the false detection rate is relatively high. For this reason, a cloud platform-based platform fault monitoring system design is proposed. The hardware part of the system includes a fault signal acquisition card, a microprocessor, and an early warning device. The fault signal acquisition card is used to collect fault signals in the station area, the fault signal is processed by the microprocessor and the system monitoring commands are responded to, and the early warning device is used to control the station. Early warning of zone failures; the system software part designs the fault signal coding protocol to classify the station zone fault signals, and at the same time encodes the station zone faults, uses the cloud platform to analyze the station zone fault signals, calculates the station zone failure probability,and uses the analysis result as system output, in order to realize the design of the platform fault monitoring system based on the cloud platform. Experiments have proved that the false detection rate of the design system for faults in the station area is lower than that of the current system, and it has better feasibility and reliability.更多还原