Unmanned aerial vehicle line patrol intelligent algorithm

Abstract

The invention provides an unmanned aerial vehicle line patrol intelligent algorithm, which comprises the following steps of: marking corresponding coordinates for each power tower in an electronic map of a target line patrol area by using a coordinate navigation function of a GPS (Global Positioning System) satellite and a GPS signal positioning module arranged on the power tower; after the power towers form coordinate points in the electronic map, sequentially connecting the coordinate points in series, forming a line segment in the electronic map, wherein the line segment serves as a flight route of the unmanned aerial vehicle in the line patrol task; converting the coordinates of the line nodes and numbering the line nodes; finally, calculating an initial aiming point, and determining the next aiming direction ; calculating a current aiming point; and calculating the rotation angle of the turntable according to the coordinates of the current aiming point to confirm the position of the unmanned aerial vehicle. According to the method, the automatic line patrol of the unmanned aerial vehicle can be accurately realized.

Description

technical field [0001] The invention relates to the technical field of power system line inspection, and more specifically, to an intelligent algorithm for line inspection of a drone. Background technique [0002] The power system is an electric energy production and consumption system composed of power plants, power transmission and transformation lines, power supply and distribution stations, and power consumption. Its function is to convert the primary energy in nature into electric energy through the power generation device, and then supply the electric energy to various users through power transmission, transformation and distribution. In order to realize this function, the power system also has corresponding information and control systems in various links and different levels to measure, adjust, control, protect, communicate and dispatch the production process of electric energy, so as to ensure that users obtain safe and high-quality electric energy. . [0003] Dur...

AI Technical Summary

Problems solved by technology

In the actual flight operation, the ground station operator selects different line nodes from several nodes on the line through comparative analysis according to the different positions of the aircraft, and manually turns the visual axis direction of the photoelectric pod to the line node. During the entire line inspection operation, the ground station operator needs to continuously select the line nodes corresponding to the position of the aircraft and manually adjust the photoelectric pod. This method is inefficient. If the line nodes are automatically selected according to the flight parameters and the line node set, It is necessary to use the exhaustive method to calculate the distance between the current position of the aircraft and each line node, and select the node with the closest distance for sighting

During the entire flight operation process, this method needs to continuously calculate the distance between the aircraft and all nodes, the calculation amount is large, and the timeliness is poor; moreover, this method cannot guarantee the integrity principle and order principle of line node selection

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