Transformer oil tank vibration sensitive area determination method based on NCC image matching algorithm

Abstract

The invention discloses a transformer oil tank vibration sensitive area determination method based on an NCC image matching algorithm, and the transformer oil tank vibration sensitive area determination method comprises the following steps: dividing a to-be-measured surface into grids of a to-be-measured area, and pasting an irregular-shaped target in each grid; vertically aligning the high-speedcamera with the grids of the to-be-measured area, and adjusting the image surface to make the grid close to and fully fill the CCD image sensor field of view; transmitting the shot video to a local computer for image processing; performing image matching on each frame by using an NCC image matching algorithm to obtain displacement (delta xi, delta yi) and amplitude of the ith image relative to thefirst frame image, and calculating to obtain vibration sequence matrixes Res of all small areas; and finding out the maximum element in the Res matrix by taking the delta sequence as a measurement index, and drawing an image on a computer. The transformer oil tank vibration sensitive area determination method provides guidance for widely using a vibration sensor type vibration measurement systemat present, and can find out the optimal vibration measurement point, and compared with a sensor monitoring method, the detection efficiency and accuracy are high.

Description

technical field [0001] The invention relates to the detection field, in particular to a method for determining a vibration sensitive area of ​​a transformer oil tank based on an NCC image matching algorithm. Background technique [0002] Transformer is one of the most important equipment in the power system, and its safe operation plays a decisive role in the reliability and security of the grid power supply. The value of the transformer is expensive. If a sudden failure occurs during operation, not only the maintenance cycle will be long, but it will also cause a large-scale power outage, and even cause casualties. Therefore, monitoring and fault assessment of transformers is important. Among the many faults of transformers, the most serious and frequent faults are the faults of iron core and winding. In the current transformer detection system, the detection based on the vibration method is widely used, and the vibration data of this detection method are basically obtain...

AI Technical Summary

Problems solved by technology

However, the displacement information measured by the vibration sensor needs to be integrated twice, resulting in a large error; and the noise is sensitive, there are problems such as hysteresis and temperature drift, and the measurement accuracy is affected

The working environment of the transformer has the characteristics of high voltage and strong magnetic field, which will cause a certain degree of signal interference and distortion

The sensor can only measure at a single point. Several vibration sensors are distributed on the transformer oil tank. The number of measuring points is limited, just to approximate the real vibration situation on the surface of the oil tank.

At the same time, there are many sensors in the full-field measurement, the wiring is cumbersome, the measurement cycle is long, and the result is greatly disturbed by the electromagnetic field.

If the vibration measurement site vibrates strongly, it will also lead to invalid installation methods such as magnet adsorption, adhesion, and screw fixing of the sensor.

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