Combined strategy algorithm for channel inspection and fine inspection of unmanned aerial vehicle

Abstract

The invention relates to a combined strategy algorithm for channel inspection and refined inspection of unmanned aerial vehicle. Firstly, a target function and a mathematical model of an unmanned aerial vehicle target allocation task planning problem are analyzed by combining different emphasis points of unmanned aerial vehicle flight task planning; secondly, the optimization ability of the unmanned aerial vehicle target allocation problem is studied for the standard particle swarm algorithm, quantum behaviors are introduced to expand the particle search range, then a linear differential decline strategy is introduced into an expansion and contraction factor in the quantum particle swarm algorithm by reference to the inertia weight selection idea of the particle swarm algorithm, the global searching capability and the convergence speed are both improved, on the basis, a Gaussian learning strategy is introduced in an algorithm iteration process, and the population diversity is improved by utilizing the characteristic of Gaussian learning escape ability; then, single and multi-peak function testing and analysis are carried out on the standard particle swarm optimization, the quantum particle swarm optimization and the independent improved algorithm; and finally, a target allocation problem model of the unmanned aerial vehicle is solved by adopting an improved hybrid algorithm.

Description

technical field [0001] The invention relates to the application field of unmanned aerial vehicles, in particular to a combined strategy algorithm for unmanned aerial vehicle passage inspection and refined inspection. Background technique [0002] The power grid is widely distributed and the settings are complex, which makes the operation and maintenance management of the power system more difficult. Traditional manual inspections have low efficiency, high cost, and low accuracy, while the innovative application of modern drone technology has opened up a new model of human-machine collaborative inspections, and the trend of artificial intelligence in inspections of transmission lines is becoming more and more obvious. The transmission line inspection supported by UAV technology overcomes the problems of large inspection area span, complex terrain, harsh natural environment, and material aging caused by long-term exposure of transmission line equipment. The inspection efficien...

AI Technical Summary

Problems solved by technology

In addition, in the actual mission planning, using the method of UAV mission planning based on intelligent algorithms takes into account multiple types of inspection tasks, large search scale (every new transmission line is added, and the number of route combinations increases exponentially), There are many environmental constraints (flying through schools, residential areas, the army, mountains, construction sites, etc. have different flight requirements), and the final solution is often not optimal.

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