Smart power grid line safety real-time monitoring device

Abstract

The invention discloses a smart power grid line safety real-time monitoring device, which comprises a processing control unit, a communication module, a sensor module, a power supply module and a transmitter module. The processing control unit is used for controlling communication between the communication module and other nodes and between the communication module and a monitoring center, carrying out analysis processing on received data collected by sensors and giving an instruction to an executor; the sensor module adopts a multi-parameter mode and is used for collecting line status data; the communication module is connected and communicated with the monitoring center, and is used for transmitting local data and receiving instruction information of the monitoring center; the transmitter module is used for converting signals output by the sensors into signals capable of being identified by the processing control unit; and the power supply module is used for supplying power for the monitoring device. The monitoring device is suitable for a distributed monitoring mode; the multi-parameter sensors improve timeliness and effectiveness of the monitoring data; and thus accuracy and reliability of early warning are enhanced.

Description

technical field [0001] The invention belongs to the technical field of smart grid communication, and in particular relates to the field of real-time safety monitoring of smart grid lines. Background technique [0002] The interpretation of the smart grid includes three levels of meaning: first, use sensors to monitor the operation status of key transmission equipment in real time, then collect and integrate the obtained data through the network system, and finally analyze and mine the data to achieve Optimal management of the entire power system operation. The quality of data directly affects the accuracy and effectiveness of subsequent data mining optimization management. Through real-time monitoring and early warning, supplemented by effective control measures, the ability to predict and comprehensively judge the quality of data sources can be strengthened, and abnormalities can be reduced. Hazards posed by data quality. [0003] Due to various reasons such as channel co...

AI Technical Summary

Problems solved by technology

[0007] However, most of the existing automatic monitoring stations adopt the manual inspection mode, which requires many human resources, high labor intensity, less information collection, low efficiency, limited monitoring range, and cannot meet the standardization requirements; and some intelligent monitoring stations have long-term Difficulties such as poor operation stability, short service life, heavy maintenance workload, poor effectiveness, and lagging emergency response

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