Transformer online monitoring system based on Internet of Things

Abstract

The invention provides a transformer online monitoring system based on the Internet of Things. The system comprises transformer online monitoring devices and an Internet-of-Things server, wherein onetransformer online monitoring device is installed one each transformer, the transformer online monitoring devices are connected with the Internet-of-Things server, the Internet-of-Things server is connected with a mobile terminal, a data processing module, an alarm system and a storage module are arranged in the Internet-of-Things server, and the data processing module comprises a data judgment module. The data processing method of the data processing module comprises the steps that 1, the data judgment module acquires the temperature a of a current winding and the temperature b of an oil surface; and 2, the data judgment module makes judgment on the temperature a of the winding and the temperature b of the oil surface and makes determination to give an alarm and change font colors of datastrips describing relevant data of the transformers. Through the system, a real-time online monitoring function is achieved; and the system has the advantages that the operation steps are simple, abnormal data strips are striking, and the formed data strips are convenient to judge and study by operation inspection personnel.

Description

technical field [0001] The invention relates to transformers, in particular to an online monitoring system for transformers based on the Internet of Things. Background technique [0002] Transformer is a relatively expensive and important electrical equipment in the power grid. The safe operation of the transformer is of great significance to ensure the safe and reliable operation of the power grid. Therefore, real-time or regular online monitoring of the operating status of the transformer is of great significance. The existing online monitoring of transformers is based on single-item monitoring, and different monitoring systems are independent of each other. The diagnosis results are helpful for inspection personnel to diagnose transformer faults, but there is a surplus of detection data, and all data on the same transformer at the same time It is cumbersome to correspond, a lot of normal data are mixed in it, abnormal data is not eye-catching, it is troublesome to pick an...

AI Technical Summary

Problems solved by technology

The existing online monitoring of transformers is based on single-item monitoring, and different monitoring systems are independent of each other. The diagnosis results are helpful for inspection personnel to diagnose transformer faults, but there is a surplus of detection data, and all data on the same transformer at the same time It is cumbersome to correspond, a lot of normal data are mixed in it, abnormal data is not eye-catching, it is troublesome to pick and choose, and it is not convenient to conduct comprehensive analysis and judgment on the overall operation status of the transformer