Image processing method for substation noise comprehensive cloud image

Abstract

The invention discloses an image processing method for a substation noise comprehensive cloud image. The method is based on a substation noise comprehensive cloud image test device. The test device comprises a movable base, a fixing disk, a floating disk, a tilt adjustment device, a control box and a plurality of array arms. The image processing method comprises the steps of (1), carrying out histogram matching, smoothing and enhancement conversion on collected original sound images; (2), carrying out time and space registration on all sound images pre-processed in the (1), and obtaining a corresponding conversion mathematic model relationship; and (3), splicing and combining all sound images pre-processed in the (1) according to the corresponding conversion mathematic model relationship obtained in the (2), and finally obtaining a noise comprehensive cloud image of a whole substation. According to the method provided by the invention, sound distribution images of various test points tested by the test device can be spliced, the noise comprehensive cloud image of the whole substation can be directly obtained, and distribution condition of noise sound sources in the substation can be precisely reflected.

Description

technical field [0001] The invention belongs to the technical field of substation noise testing, in particular to an image processing method for a comprehensive cloud image of substation noise. Background technique [0002] Accurate separation and measurement of substation internal noise is the key to the control and prevention of substation environmental noise. However, the measurement of substation noise is affected by external environmental factors, including background noise and weather. In the actual measurement, in addition to the noise generated by the sound source under test, there will also be other noises, such as the impact of noise from living and working backgrounds such as the flow of people and traffic around the substation, as well as transient noises such as dog barking and motorcycle sound. Noise, the sum of these noises is called background noise, background noise will affect the accuracy of the measurement. Usually the noise of a certain machine is meas...

AI Technical Summary

Problems solved by technology

However, the substation in operation cannot be stopped just because of the measurement of its environmental noise, so the noise measured by a single sound level meter is the superposition of the substation's own noise and other environmental noise

Using a single sound level meter to measure, it is difficult to distinguish the source, distribution, size, spectrum characteristics and other parameters of the internal noise of the substation, which is not conducive to the division of responsibilities for substation equipment noise, and brings inconvenience to the control of substation environmental noise

[0003] At present, the noise cloud image obtained by using the noise test array test in the substation can accurately and intuitively obtain the noise source, but there is no method to obtain the overall noise cloud image of the substation. The sound image distribution map of some measuring points in the substation, and then input the sound source size in the obtained sound image distribution map into the noise simulation analysis software for simulation, and obtain the comprehensive cloud image of the noise simulation of the substation; the accuracy of the comprehensive cloud image simulated by the software Poor, limited by modeling accuracy, algorithm reliability, calculation amount and calculation accuracy, etc., cannot accurately reflect the distribution of noise sources in substations, and cannot meet the needs of substation noise rectification and environmental assessment

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