Authentication-supported transformer intelligent management device accessed with Internet of Things

Abstract

An authentication-supported transformer intelligent management device accessed with Internet of Things comprises a personnel identification authentication control module, an acquisition control module, a core controller, a memory module, a power module, and an Internet of Things accessing module. The personnel identification authentication control module reads an information card of a worker, and judges the working authority of the worker. The personnel identification authentication control module sends the read information and judged authority to an acquisition controller. The acquisition controller sends monitored transformer information to the core controller according to the authority. The core controller stores the received data in the memory module, and sends the information to a transformer monitoring center through the Internet of Things accessing module. The power module provides working power for the personnel identification authentication control module, the acquisition control module, the core controller, the memory module, the power module, and the Internet of Things accessing module. The authentication-supported transformer intelligent management device accessed with Internet of Things can identify operation authority, sends corresponding data to the transformer monitoring center through the Internet of Things according to the authority, is stable in working, and has a low use cost.

Description

technical field [0001] The invention relates to a transformer management device, in particular to a transformer management device supporting authentication and the Internet of Things. Background technique [0002] Power transformer is one of the important equipments in generation, transmission, transformation and distribution systems. Its operational performance and quality are directly related to the reliability and operational benefits of power system operation. Comprehensive maintenance management of power transformers is very important. [0003] At present, there are few intelligent management devices professionally used for power transformers, and they mainly exist at the front end of the transformer online monitoring system. The principle of information transmission is as follows: the signal preprocessing module collects the transformer status information, and transmits the information to the control center through wireless communication such as GSM (Global System of ...

AI Technical Summary

Problems solved by technology

The above methods obviously have the following defects: 1. The data channel is single and there is no backup data channel. Once a certain intermediate link fails, the entire system will be paralyzed, seriously endangering the normal operation of the power transformation system; 2. GSM is generally only available in the SIM card. It can store about 25 short messages. The information is easily congested and lost seriously. It cannot reflect the operation status of the transformer and the cause of the failure in time, which may easily cause system misjudgment.

GSM always monopolizes the wireless channel during the entire connection period, and the channel resources are seriously wasted; 3. GPRS, as an improvement of GSM, has far better performance than GSM, but "according to the flow rate", the service fee is expensive, and GPRS monitoring service agency companies generally charge users As high as 60-110 yuan / month service fee; 4. Due to the large wireless transmission power of the transformer management device and the high consumption of the whole machine, the standby time after power failure is very short, mostly within 1-2 hours, and the Loss of management function; 5. Does not support heterogeneity; 6. Most of them only focus on the operation and management of transformers, and lack the management of maintenance personnel; 7. The early warning level is low, and the early warning level is single

Due to the above reasons, the use time, quantity and scope of these transformer management devices are greatly limited, the effect of early warning and monitoring is reduced, and false positives and negatives are prone to occur.

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