Transformer remote smart monitoring system and transformer remote smart monitoring method

Abstract

The invention discloses a transformer remote smart monitoring system and a transformer remote smart monitoring method. The monitoring system comprises transformer monitoring sub devices, smart gateways, a cloud background server and a mobile phone terminal, which are connected in series. There are multiple transformer monitoring sub devices and multiple smart gateways. Each smart gateway is connected with a plurality of transformer monitoring sub devices. The smart gateways collect monitoring data of the transformer monitoring sub devices and upload the monitoring data to the cloud background server. A cloud big data analysis technology is adopted in the invention. Human-computer interaction is carried out with the aid of a smart phone. There is no need to configure corresponding PCs. The cost is low. Transformers can be unattended for 24 hours a day. The operation condition of a transformer after delivery can be tracked easily.

Description

technical field [0001] The invention relates to the field of power system monitoring, in particular to a transformer remote intelligent monitoring system and method. Background technique [0002] In the field of industrial monitoring and maintenance, improving monitoring efficiency, improving operational levels, and reducing management costs is a lasting pursuit. Especially like the power transformers in the field of civil power transformation and distribution, they are large in number, distributed and have high reliability requirements, which brings great challenges to their daily operation monitoring and maintenance management. [0003] For traditional transformer monitoring, either the transformer monitoring data is directly transmitted to the PC in the power distribution room through the 485 bus to achieve local monitoring, or the monitoring data is transmitted to the local area network through the Ethernet cable to achieve LAN monitoring, or the monitoring data is furth...

AI Technical Summary

Problems solved by technology

[0004] These traditional monitoring methods have several major problems: first, the cost is high, the monitoring system is centered around the PC, and the power distribution room must be equipped with a PC; second, the efficiency is low, and the on-duty personnel need to be on duty in front of the PC to pay attention to the data that may occur at any time Third, each maintenance personnel has control over the operation data of the transformers under his jurisdiction, and the monitoring data of thousands of transformers are separated from each other, which cannot be aggregated for big data analysis and does not reflect the data. Value, transformer manufacturers can't centrally understand the operating conditions of their products after leaving the factory, can't make targeted design improvements based on the actual operating conditions of many products, and can't predict in advance the potential failure of users' equipment.

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