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A power grid wiring parameter detection device and detection method

A technology for parameter detection and power grid, applied in the direction of measuring device, measuring device casing, neural learning method, etc., can solve the problems of high error rate and low efficiency, and achieve the effect of optimizing dependence and improving operation speed.

Active Publication Date: 2022-05-13
MAINTENANCE BRANCH OF STATE GRID HEBEI ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the process of power operation and maintenance, it is necessary to detect the wiring parameters of the power grid. The conventional method is to verify manually, which is inefficient and has a high error rate.

Method used

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  • A power grid wiring parameter detection device and detection method
  • A power grid wiring parameter detection device and detection method
  • A power grid wiring parameter detection device and detection method

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Experimental program
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Effect test

Embodiment 1

[0057] like Figure 1 to Figure 6 As shown, a power grid wiring parameter detection device includes a support arm 1, a support device is provided at both ends of the support arm, the support device includes a support rod and a support seat 2, and the support rod includes an outer sleeve rod 3 And the inner rod 4 arranged in the outer sleeve rod 3, the inner wall of the outer sleeve rod 3 is provided with an internal thread, the outer wall of the inner rod 4 is provided with an external thread matched with the inner thread, the free end of the outer sleeve rod 3 is connected to the support The seat 2 is fixedly connected; the free end of the inner rod 4 of one support device is fixedly connected with the end of the support arm 1, and the free end of the inner rod 4 of the other support device is rotatably connected with the end of the support arm 1.

[0058] The supporting arm 1 is rotatably connected with a connecting arm, and the free end of the connecting arm is provided wit...

Embodiment 2

[0070] A power grid wiring parameter detection method, based on the image classification and detection model of the improved convolutional neural network in image processing technology, including image preprocessing, improved convolutional neural network extraction features, sharpening image features, and features for fusion fusion and classifier. The preprocessing part is mainly to perform mean value processing and normalization processing on the images transmitted from the power grid wiring parameter detection device in embodiment 1. The global dynamic pruning adopted by the convolutional neural network and the excitation layer adopts ELU As an activation function and the corresponding weight information is also set for the excitation, the Gauss-Laplacian operator is mainly used for sharpening image features to achieve denoising and highlighting image features, and the classifier uses GBDT as a classifier.

[0071] The image classification and detection module extracts image...

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Abstract

The invention relates to a power grid wiring parameter detection device, which includes a support arm, a support device is provided at both ends of the support arm, the support device includes a support rod and a support seat, and the support rod includes an outer rod and a The inner rod in the outer outer rod, the inner wall of the outer outer rod is provided with an internal thread, the outer wall of the inner rod is provided with an outer thread that cooperates with the inner thread, and the free end of the outer outer rod is fixedly connected with the support seat; the support arm A connection arm is rotatably connected to the top, and the free end of the connection arm is provided with a collection device installation platform, and an image collection device is provided on the collection device installation platform. The image transmitted by the device is demeaned and normalized, and the CNN-GBDT algorithm module is used for detection, which is easy to operate and high in detection efficiency.

Description

technical field [0001] The invention belongs to the technical field of electric power operation and maintenance, and in particular relates to a detection device and a detection method for grid wiring parameters. Background technique [0002] Convolutional Neural Networks (CNN) is a type of Feedforward Neural Networks (Feedforward Neural Networks) that includes convolution calculations and has a deep structure, and is one of the representative algorithms for deep learning. Convolutional neural network has the ability of representation learning, and can perform shift-invariant classification on input information according to its hierarchical structure, so it is also called "Shift-Invariant Artificial Neural Networks". , SIANN)". [0003] Research on convolutional neural networks began in the 1980s and 1990s. Time-delay networks and LeNet-5 were the earliest convolutional neural networks; after the 21st century, with the introduction of deep learning theory and numerical calcu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F16M13/02F16M11/38F16M11/26F16M11/20F16M11/12F16M11/18G01R31/08G01R1/04G06V10/764G06V10/82G06N3/04G06N3/08
CPCF16M13/022F16M11/26F16M11/2042F16M11/38F16M11/121F16M11/18G01R31/086G01R31/088G01R1/0408G06N3/08F16M2200/08G06N3/045G06F18/241
Inventor 苑旭楠王昭雷王会增王昱霍彦明李争孟荣马宜军靳楠张韶光张惠山范辰旭贺非李卓阳韩辰龙赵杜齐肖彬邳浚哲
Owner MAINTENANCE BRANCH OF STATE GRID HEBEI ELECTRIC POWER
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