Intelligent operation and maintenance auxiliary device for indoor transformer substation based on image recognition technology

Abstract

The invention discloses an intelligent operation and maintenance auxiliary device for an indoor transformer substation based on an image recognition technology. The intelligent operation and maintenance auxiliary device comprises monitoring cameras arranged at power equipment and a transformer oil level dial plate, and a power equipment monitoring unit and an instrument panel monitoring unit which are used for collecting, analyzing and processing image data of the monitoring cameras. The state of the power equipment and the transformer oil level dial plate in the transformer substation is monitored through the image recognition technology, the power equipment monitoring unit is combined with the VB image recognition technology, the appearance conditions of monitored electrical elements in a monitoring area of the transformer substation are judged automatically, equipment fault forebodes are found, and operators on duty are reminded to strengthen inspection. The instrument panel monitoring unit utilizes a digital image recognition technology to accurately obtain oil level instrument panel pointer readings, an oil level instrument panel reading system based on image processing is high in precision and good in reliability and real-time performance, the workload of operators on duty is relieved, and the safety, reliability, visibility and automation level of transformer substation equipment and instruments are improved.

Description

technical field [0001] The invention relates to an indoor substation intelligent operation and maintenance auxiliary device based on image recognition technology, and belongs to the technical field of electric power operation and maintenance devices. Background technique [0002] With the large-scale promotion of the unattended substation management mode in the power system and the improvement of the substation inspection system, the regional centralized control center can realize remote image monitoring, remote fault and emergency monitoring of the substations in the jurisdiction through the existing communication lines. The reception and processing of emergency alarms can greatly improve the maintenance safety and reliability of substation operation, and in the future, the visual operation monitoring and dispatching of the entire network will be gradually realized, making the control and operation of the power grid safer and more reliable. [0003] In the actual operation ...

AI Technical Summary

Problems solved by technology

These phenomena are often unable to be reflected in time through the relay protection device, and can be checked by manual inspection.

However, due to the subjective and objective limitations of manual inspection

For example, due to limited personnel, the electrical equipment cannot be inspected frequently, the inspectors are not serious about their work attitude or their ability level is limited, these phenomena cannot be discovered and reported in time, thus missing the best time for accident handling

[0004] Moreover, the reading of the transformer oil level dial is mainly through the naked eye observation of the inspection personnel to read the indication value. However, this method is very easily affected by subjective factors such as human observation angle and observation distance, especially when the pointer points to two In the middle of the minimum scale line, it is necessary to obtain the indicated value of the dial pointer by estimating the approximate position of the dial pointer. Therefore, this reading method is inaccurate, has large errors, and is labor-intensive, which will eventually lead to inaccurate readings on the oil level dial, which reduces work. Efficiency, but also buried security risks

Images