Tower defect inspection method based on model deployed in unmanned aerial vehicle
A UAV, defect detection technology, applied in neural learning methods, biological neural network models, computer parts and other directions, can solve the problems of complex power security and stability, inability to guarantee the safe operation of lines, and failure to find faults in time by manual workers. The effect of stabilizing the security situation and ensuring safe operation
Pending Publication Date: 2020-02-18
JIANGSU HAOHAN INFORMATION TECH
View PDF3 Cites 10 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The advancement of science and technology has made people have new requirements for the safe and stable operation of the power system. The continuous strengthening of the power system not only brings convenience to people's life and work, but also brings more complex power safety and stability issues.
At present, the state monitoring of the tower is basically carried out manually. Since the manual is not monitoring all the time, it may happen that when the tower has a defect, the manual fails to find the fault in time, resulting in the inability to stably detect the safety status of the power implementation. Cannot guarantee the safe operation of the line
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0033] In the embodiment of the method for inspection of tower defects based on models deployed in UAVs in the present invention, the flow chart of the method for inspections of tower defects based on models deployed in UAVs is as follows figure 1 shown. figure 1 Among them, the method of inspection of tower defects based on the model deployed in the UAV includes the following steps:
[0034] Step S01 collects tower defect sample pictures to form a tower defe...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a tower defect inspection method based on a model deployed in an unmanned aerial vehicle, and the method comprises the following steps: A), collecting a tower defect sample picture, forming a tower defect sample set, and manually marking the coordinates and types of tower defects in the tower defect sample picture; B) increasing the number of tower defect sample pictures inthe tower defect sample set through a data enhancement algorithm; C) training a tower defect detection model by adopting a deep convolutional neural network; D) deploying the tower defect detection model to an unmanned aerial vehicle; and E) collecting a real-time video of the unmanned aerial vehicle, obtaining a key frame image, calling the tower defect detection model to detect tower defects, and sending alarm information when the tower defects are detected. The tower defect inspection method based on the model deployed in the unmanned aerial vehicle has the advantages that tower defects can be recognized and early warned, the safety condition of electric power facilities can be stably detected, and safe operation of lines is guaranteed.
Description
technical field [0001] The invention relates to the field of unmanned aerial vehicle inspection, in particular to a method for inspection of tower defects based on a model deployed in an unmanned aerial vehicle. Background technique [0002] The power industry is a pillar industry related to the national economy and the people's livelihood, and the safe and stable operation of the power system has great strategic significance. The construction of the power Internet of Things is the core task of implementing the strategic goal of "three types, two networks, and world-class". The advancement of science and technology has made people have new requirements for the safe and stable operation of the power system. The continuous strengthening of the power system not only brings convenience to people's life and work, but also brings more complex power safety and stability issues. At present, the state monitoring of the tower is basically carried out manually. Since the manual monito...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06Q50/06
CPCG06N3/08G06Q50/06G06V20/176G06V20/40G06N3/045
Inventor 李学钧戴相龙蒋勇何成虎杨政
Owner JIANGSU HAOHAN INFORMATION TECH