Micro robot-based transformer inner fault detection system

Abstract

The invention discloses a micro robot-based transformer inner fault detection system, which comprises a micro robot arranged in a transformer oil tank and a display control device arranged outside the transformer, wherein the micro robot is connected with the display control device through a wireless communication module; the micro robot comprises a walking and rotating mechanism which is a cube with equal surrounding side lengths, an obstacle negotiation walking track is absorbed on the circumference of the walking and rotating mechanism through an absorbing device, each circumferential side of the walking and rotating mechanism is provided with a propeller and an ultrasonic ranging device, the propeller is driven by a motor driving system A, the bottom part of the walking and rotating mechanism is provided with a rotary telescopic rod, the tail end is provided with a camera, the rotary telescopic rod is driven by a motor driving system B, and the walking and rotating mechanism is internally provided with a control system connected with the motor driving system A, the motor driving system B, the absorbing device, the ultrasonic ranging device, the camera and the wireless communication module. Thus, the system can carry out real-time fault detection on the internal part of the transformer in a condition of no oil draining and no core suspension.

Description

technical field [0001] The invention relates to the field of transformer fault detection, in particular to a transformer internal fault detection system based on a micro-robot. Background technique [0002] Since the development of the power industry, the operation and maintenance of power equipment has become an important task to ensure the reliable operation of the power grid, and it has gradually shifted from traditional regular maintenance to state maintenance. All kinds of high-voltage power equipment will inevitably have one or another abnormality during operation. Intuitive and in-depth inspection and detection of the inside of the equipment is the method that equipment operation, maintenance, management and decision-makers at all levels yearn for. It is a direct and effective means to quickly confirm the status of the equipment and find faults. As one of the most important and expensive equipment in the power system, the transformer is the pivotal equipment of the p...

AI Technical Summary

Problems solved by technology

As one of the most important and expensive equipment in the power system, the transformer is the key equipment of the power system. The transformer in the operation of the power system is abnormal. The current detection methods such as high voltage (insulation, direct resistance, partial discharge, etc.), oil (chromatogram), etc. It is difficult to make an accurate judgment when the fault characteristics are not obvious. For example, the impact caused by external factors often breaks down or generates high temperature in the weak part of the transformer conductive circuit (coil) instantaneously, making the conductive circuit. Local material variation (changes in material structure, deterioration of resistance, mechanical strength, etc.) is difficult to detect by high-pressure means at this time, the impact is instantaneous, and the characteristic gas in the oil is not obvious. Close observation and detection methods are used to check the state of the equipment Confirmation and fault finding become very necessary, and the speed and accuracy of equipment status confirmation directly affect the recovery of equipment and the safety of the power grid

When a transformer breaks down or operates abnormally, the current on-site inspection method for hanging cores will consume a lot of manpower and material resources. More importantly, it lacks microscopic observation and detection methods, and it is also difficult to confirm the state and find faults. With no time for status confirmation and fault finding, we can only helplessly watch the risk of equipment and power grid increase

In the face of current important and expensive power equipment, in order to truly achieve condition-based maintenance, how to know its internal status at any time during equipment operation is the goal that power equipment maintenance has been pursuing. However, the current detection (monitoring) equipment is still in the state of statistics. , The level of waveform curve display, its accuracy, effectiveness, ease of use and evaluability still need to be improved. The maturity of infrared imaging technology has enabled the temperature detection (monitoring) of power equipment to achieve temperature visual detection. The development of ultraviolet imaging technology Appeared, making it possible to detect surface creepage imaging of high-voltage equipment

However, the internal structure of transformers and reactors is complex, and most of the faults often occur inside them, which brings considerable difficulties to the state judgment and fault diagnosis of power equipment. If there is a detection that can directly monitor the inside of power equipment such as transformers ( monitoring) instrument, then the status detection and fault diagnosis of transformers and other equipment will become very simple. This kind of instrument that can accurately detect the internal conditions of transformers and other equipment has become an urgently needed equipment for power equipment maintenance departments.

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