Routing inspection unmanned aerial vehicle nest distribution and information interaction method

A technology of information interaction and drones, which is applied in the direction of instruments, electric digital data processing, non-electric variable control, etc., can solve problems such as wrong site selection of drone nests, overlapping inspection areas, and failure to inspect

Active Publication Date: 2020-09-18
ANHUI JIYUAN SOFTWARE CO LTD
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AI Technical Summary

Problems solved by technology

[0003] At present, there is a lack of a method to plan the distribution of drone nests based on drone data, which

Method used

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  • Routing inspection unmanned aerial vehicle nest distribution and information interaction method
  • Routing inspection unmanned aerial vehicle nest distribution and information interaction method
  • Routing inspection unmanned aerial vehicle nest distribution and information interaction method

Examples

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Embodiment 1

[0039] refer to Figure 1-5 , a method for inspecting nest distribution and information interaction of unmanned aerial vehicles, comprising the following steps:

[0040] S1. Establish a kinematics model and a dynamics model for the inspection UAV, and add constraints to the inspection UAV;

[0041] The dynamic formula of the inspection UAV in the body coordinate system is as follows:

[0042]

[0043] Among them, the kinematic formula of the inspection UAV rotating around the center of mass in the ground coordinate system is as follows:

[0044]

[0045] S2. Carry out environmental modeling for the inspection area of ​​​​the inspection drone, and add terrain threats, weather threats, and man-made threats to it;

[0046] S3. Use the end of any end of the inspection area in S2 as the starting point, and the other end of the inspection line as a closed point, and bring the data of the inspection drone in S1 into the starting point, and open the fitting coverage, one-time ...

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Abstract

The invention discloses a routing inspection unmanned aerial vehicle nest distribution and information interaction method, and belongs to the field of routing inspection unmanned aerial vehicle nest site selection. The routing inspection unmanned aerial vehicle nest distribution and information interaction method comprises the steps of: firstly, analyzing data and related technologies of unmannedaerial vehicles; secondly, substituting the data of the unmanned aerial vehicle into environmental modeling, and establishing an unmanned aerial vehicle maneuvering performance constraint model and threat constraint models, wherein the unmanned aerial vehicle maneuvering performance constraint model comprise a maximum flying range, a maximum climbing angle, a minimum turning radius and a flight speed, and the threat constraint models mainly comprise a terrain threat model, a weather threat model, a man-made threat model and the like; in addition, considering that the unmanned aerial vehicles use terrain to avoid risks, regarding the height as one of track costs; and on the basis of establishing the mechanical constraint model and the threat models, carrying out two-dimensional and three-dimensional static flight path planning of the unmanned aerial vehicle respectively, planning nest positions through covering the whole region by means of flight path planning, and controlling an unmanned aerial vehicle group through using a distributed control system.

Description

technical field [0001] The invention relates to the field of site selection for inspection drone nests, in particular to a nest distribution and information interaction method for inspection drones. Background technique [0002] At present, the inspection of electric power mainly adopts manual inspection, but the workload of manual inspection is very large, and there are still unreasonable inspection paths, which increases the workload of inspectors, increases labor costs and reduces power consumption. Overall work efficiency of facility maintenance inspections. With the rapid development of computers and communications, UAV aerial photography systems have also entered the stage of practical application in various industries from the initial research stage in the military field, and are widely used in forest fire prevention, resource detection, search and rescue, agricultural inspection, aerial photography, etc. In terms of aspects, it is also used in the field of power ins...

Claims

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Application Information

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IPC IPC(8): G05D1/10G05B13/04G06F30/15G06F119/14G06F111/04
CPCG05D1/0088G05D1/101G05B13/042G06F30/15G06F2119/14G06F2111/04Y02T10/40
Inventor 魏永范叶平章兵郑春春吴立刚范海波尹为松郑飞翔谢贵德马景涛许光明尹淑兰李源泽刘涛贾曲赵建国
Owner ANHUI JIYUAN SOFTWARE CO LTD
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