Electric station selection surveying method based on unmanned aerial vehicle RTK technology

Abstract

The invention provides an electric station selection surveying method based on an unmanned aerial vehicle RTK technology. The electric station selection surveying method based on the unmanned aerial vehicle RTK technology comprises the following steps: S1, selecting an oblique photography measuring equipment loaded flying platform according to parameters of static equipment and actual flight testing report; S2, selecting oblique photography measuring equipment according to features of surveying business; S3, determining the mode in actual data acquiring according to the features of the topography and landform of a region required to be surveyed and in combination with characteristics of an unmanned aerial vehicle platform and an oblique photography measuring system; and S4, carrying out electric station selection and path selection operation by using unmanned aerial vehicle loaded oblique photography measuring equipment, and determining an optimal measuring mode according to a data acquiring effect. The main technical problems of scheme selection of an unmanned aerial vehicle measuring platform and a three-dimensional measuring flight operation mode are solved, one-time final surveying positioning of station selection and path selection measurement is realized, site location and line path trend are optimized, the artificial surveying cost is reduced, and the adaptivity of electric power facilities to a surrounding environment is improved.

Description

technical field [0001] The invention relates to a power survey technology device, in particular to a power station selection survey method based on unmanned aerial vehicle RTK technology. Background technique [0002] With the rapid development of urban construction, it is not only increasingly difficult to select power station sites and line corridors planned and constructed in the region as the choice of social and economic resource allocation, but also the selection of power station and route selection is becoming increasingly scientific and reasonable. The information is becoming more and more complete and standardized. [0003] The traditional drawing point selection (line selection) relies on manual site reconnaissance for power survey and survey construction operations, which not only has large data errors, long on-site construction periods, and poor site safety for designers, but also because it is connected with other invisible urban tunnels, Problems such as delay...

AI Technical Summary

Problems solved by technology

[0003] The traditional drawing point selection (line selection) relies on manual site reconnaissance for power survey and survey construction operations, which not only has large data errors, long on-site construction periods, and poor site safety for designers, but also because it is connected with other invisible urban tunnels, Problems such as delays in the design period and changes in drawings caused by the configuration conflicts of trenches, pipes, and lines have not been effectively resolved

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