Transmission conductor icing classification method based on local fusion frequency domain features
A technology of frequency domain characteristics and transmission wires, applied in image analysis, computer components, image data processing, etc., can solve the problem of misjudgment of mixed rime as other icing types, etc.
Active Publication Date: 2021-01-26
XI'AN POLYTECHNIC UNIVERSITY
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The existing wire icing classification technology based on visible light images is based on the whole set of icing images as the research object, and features are extracted in the spatial domain to realize the classification of ice layers, which is easy to misjudge mixed rime as other icing types Therefore, it is of great practical significance to study the icing classification method of transmission conductors based on local fusion of frequency domain features
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[0054] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0055] The method for icing classification of transmission wires based on local fusion frequency domain features in the present invention, such as Figure 1-4 As shown, follow the steps below for specific implementation:
[0056] Step 1: Manipulate the UAV so that the PTZ camera carried by it can focus on the overhead power transmission wire at close range to collect the icing image of the wire I 1 ,Such as figure 2 Shown are images of soft rime, hard rime, rain rime and mixed rime ice-covered wires collected by drones. They all have clear foreground and relatively blurred background, and the ice-coated transmission wire is located in the middle of the image, which is conducive to follow-up Segmentation extraction; for the acquired transmission line image I 1 Perform Gaussian filtering and histogram equalization processing to obtain the i...
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The invention discloses a transmission conductor icing classification method based on local fusion frequency domain features, and the method comprises the steps of firstly carrying out the preprocessing and saliency extraction on a transmission conductor icing image collected by an unmanned plane, and carrying out the segmentation to obtain a foreground conductor image; secondly, cutting a redundant part which does not contain a foreground conductor, and uniformly partitioning the rest part; then, decomposing all the sub-block images by using non-subsampled biorthogonal wavelet transform and adirectional filter to obtain a low-frequency sub-band and eight high-frequency sub-bands; and finally, calculating the mean value, the variance, the power spectral density and the spectral entropy ofeach band-pass sub-band, and constructing a frequency domain fusion feature C as input to perform dynamic weighted naive Bayesian classification so as to complete the conductor icing classification.The method can accurately extract the iced conductor in the power transmission line image, facilitates the prediction of the ice melting time, and prevents the deicing jump and fatigue breakage of theconductor.
Description
technical field [0001] The invention belongs to the technical field of electric power transmission line monitoring, and in particular relates to a method for icing classification of power transmission wires based on local fusion frequency domain features. Background technique [0002] When the cold and warm air currents meet, the overhead power transmission lines in the field frequently suffer from fog stagnation, which causes them to be wrapped in thick ice layers, the load stress is concentrated, and the sag is too large, which in turn leads to line breakage and tower collapse accidents. In ice and snow weather, traditional manual line inspection has a high risk factor and is difficult to operate. Therefore, direct use of drones equipped with pan-tilt cameras for remote status monitoring of transmission lines has gradually become mainstream. [0003] According to the differences in micro-meteorological conditions such as temperature, humidity, and wind force at the operati...
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Login to View More IPC IPC(8): G06K9/46G06K9/62G06T5/00G06T5/40G06T7/11G06T7/40G06F17/11
CPCG06T5/40G06T7/11G06F17/11G06T7/40G06V10/462G06F18/24155G06F18/214G06T5/70Y02A90/10
Inventor 张烨伍逸群黄新波高玉菡孙苏珍
Owner XI'AN POLYTECHNIC UNIVERSITY