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Power transmission line construction machinery hidden danger detection method based on deep learning

A technology for construction machinery and transmission lines, which is applied in closed-circuit television systems, computer components, instruments, etc., can solve the problems of threatening the safe operation of transmission lines, manpower consumption, large vertical and horizontal spans of transmission lines, etc., and achieve high-precision channel hidden danger target detection , the effect of improving the accuracy rate

Pending Publication Date: 2020-01-17
SHANDONG ZHIYANG ELECTRIC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accelerated process of technology makes the mechanical construction gradually extend to the transmission line channel, which seriously threatens the safe operation of the transmission line and creates a huge safety hazard for the transmission line.
On the other hand, the current maintenance personnel use manual line inspection to monitor the transmission line. There is a vacuum period in the manual line inspection, and the changes in the line corridor cannot be grasped in time. Moreover, the vertical and horizontal spans of the transmission lines are large and the distribution terrain is complex.
There are many types of line status parameters, and many links are not easy to find manually, which greatly consumes manpower and reduces efficiency

Method used

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  • Power transmission line construction machinery hidden danger detection method based on deep learning
  • Power transmission line construction machinery hidden danger detection method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Such as Figure 1-2 As shown, the deep learning-based transmission line construction machinery hidden danger detection method of the present invention includes the following steps:

[0028] a. The camera captures pictures within the scope of the transmission line and transmits them to the server through the 4G network; specifically, the transmission through the 4G network to the server means that the camera includes access and control equipment for the 4G network, and the control equipment automatically transfers the camera to the server. The captured monitoring pictures are uploaded to the server, and the access device of the 4G network can be connected to the wireless network of the telecom operator for remote transmission of pictures.

[0029] b. Obtain and mark pictures containing hidden dangers of construction machinery on the server side, use the neural network model to train the marked pictures, and obtain the construction machinery monitoring model for detection...

Embodiment 2

[0032] On the basis of Example 1, in the transmission line construction machinery detection system in a certain province, the camera captured 44,000 on-site pictures in a certain period of time during the capture process of the transmission line area, including 18,596 pictures containing hidden dangers of construction machinery and With 25404 pictures that do not contain construction machinery, using the construction machinery detection method proposed by the present invention, the false positive rate of identification of hidden dangers of construction machinery is 5.2%, the false positive rate of identification is 7.2%, and the accuracy rate is 88.1%.

[0033] a. Use the neural network model proposed by the present invention to train the 18,596 labeled data sets containing hidden dangers of construction machinery, repeatedly perform data iterative training, and finally obtain the construction machinery detection model;

[0034] b. Obtain 2000 uploaded pictures newly captured b...

Embodiment 3

[0038] On the basis of Example 1, in the transmission line construction machinery detection system in a certain province, the camera captured 44,000 on-site pictures in a certain period of time during the capture process of the transmission line area.

[0039] Using steps similar to those in Example 1, using all the samples in the training set for repeated iterative training, in Example 2, the false negative rate of recognition was calculated to be 5.9%, the false positive rate of recognition to be 6.8%, and the recognition accuracy rate to be 85.5%, which met the technical requirements. .

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Abstract

The invention relates to the technical field of power transmission line detection, in particular to a power transmission line construction machinery hidden danger detection method based on deep learning. The power transmission line construction machinery hidden danger detection method comprises the following steps that: a, capturing pictures in a power transmission line range through a camera andtransmitting the pictures to a server through a 4G network; b, obtaining and marking the pictures of the construction machinery containing the hidden dangers at a server side, training the marked pictures by using a neural network model, and obtaining a construction machinery monitoring model for detection; and c, deploying the construction machinery monitoring model to a server to load model parameters, detecting whether a newly shot and uploaded picture of the camera has hidden danger or not, if so, giving an alarm, and if not, continuing to detect the newly shot and uploaded picture of thecamera. According to the power transmission line construction machinery hidden danger detection method, a two-stage target detection algorithm is used, and targeted improvement work is carried out, and high-precision channel hidden danger target detection is realized. In the power transmission channel image data set of the state grid, the hidden danger detection accuracy is improved to 87%.

Description

technical field [0001] The invention relates to the technical field of transmission line detection, in particular to a method for detecting hidden dangers of transmission line construction machinery based on deep learning. Background technique [0002] In the power grid industry, the safety of transmission lines is always of paramount importance. Whether the transmission line is safe is of great significance to the safe and reliable operation of the power grid, so it is necessary to regularly monitor the operation status of the transmission line. However, the accelerated process of technology makes the mechanical construction gradually extend to the transmission line channel, which seriously threatens the safe operation of the transmission line and creates a huge safety hazard for the transmission line. On the other hand, the current maintenance personnel use manual line inspection to monitor the transmission line. There is a vacuum period in the manual line inspection, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62H04N7/18
CPCH04N7/18G06V20/10G06F18/214
Inventor 徐学来胡志坤徐冰张建鑫樊思萌付琳邓运涛
Owner SHANDONG ZHIYANG ELECTRIC