Overhead transmission line fixed wing drone system selection method

Abstract

The invention provides an overhead transmission line fixed wing drone system selection method. The method includes the following steps: firstly determining evaluation indexes of a plurality dimensions for evaluating the system effectiveness of a fixed wing drone, and one-level or multi-level sub-indexes of the evaluation index of each dimension; then determining the value of the last-level sub-index, then on the basis of a formula, gradually computing the value of each level of sub-index except the last-level sub-index and the value of the evaluation index of each dimension; and finally, multiplying the values of the evaluation indexes of all dimensions and the result of the multiplication serving as the value of the system effectiveness, and finally carrying out system selection based on the value of the system effectiveness. According to the invention, the method, in combination with flight features of the fixed wing drones and actual conditions of a power grid routing inspection company, considers the type of the fixed wing drones from four aspects, avoids subjective factors, can assist in the system selection of transmission lines, and makes selection more scientific and reasonable.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicles, and in particular relates to a method for selecting a fixed-wing unmanned aerial vehicle system for overhead transmission lines. Background technique [0002] With the gradual opening of low-altitude airspace in my country in recent years and the improvement of UAV control technology and navigation accuracy, domestic civil UAVs have developed very rapidly, and have been widely used in forestry, marine, electric power, petroleum, disaster mitigation, meteorology, surveying and mapping and other industries. a wide range of applications. The functions and indicators of UAV systems are different, and the applicable scenarios are different. It is necessary to establish a set of selection criteria to guide the selection of the system. For this reason, many studies have been carried out at home and abroad, and certain results have been obtained. [0003] There are two main methods for evaluating ...

AI Technical Summary

Problems solved by technology

[0008] The existing subjective evaluation methods are greatly affected by the subjective factors of experts. Experts in different fields may have large differences in the evaluation scores of UAVs, and the evaluation results can only give relative comparisons, and cannot accurately give the degree of difference in UAV performance. , it is not easy to get a simple and comprehensive UAV performance index

[0009] In the existing model calculation method, WSEIAC only considers the working ability of the system itself, and does not consider the influence of factors such as the environment. It can effectively complete the task, but less consideration is given to how to complete the task more effectively. The ADCB model is an extension of the WSEIAC model, which adds the UAV's ability to adapt to the environment into the final system performance evaluation.

[0010] Most of the existing UAV system effectiveness evaluation methods are unable to conduct an overall evaluation of the effectiveness of the UAV system execution work, and cannot directly compare different UAV systems through the evaluation results

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