Three-dimensional visual intelligent walking board

Abstract

The three-dimensional visual intelligent walking board comprises a hexagonal walking board body, an installation shell is fixedly arranged on the outer surface of the walking board body, a data processing mainboard and an acquisition lens are arranged in the installation shell, and a power source and a GPS positioning chip are arranged on the upper side and the lower side of the data processing mainboard in the vertical direction respectively. The left end and the right end of the data processing mainboard are fixedly connected with three-dimensional visual information acquisition controllers in the transverse direction respectively, one end of the acquisition lens is fixedly connected with the three-dimensional visual information acquisition controllers, and the other end of the acquisition lens is inserted into the mounting shell to the outside of the mounting shell. And the acquisition lens is fixedly connected with an automatic balancing device. According to the invention, the integrity and stability of data acquisition in the pay-off process are realized, visual real-time state monitoring is carried out on the acquisition area, and the method has a popularization prospect.

Description

technical field [0001] The invention belongs to the technical field of overhead power transmission line construction, and in particular relates to a three-dimensional visualized intelligent walking board. Background technique [0002] The stretching and setting-out process is an important link in the construction process of overhead transmission lines, which involves data collection and status monitoring. For data collection, most drones are equipped with radars, sensors, cameras and other equipment for aerial photography. The aerial photography content includes pictures and information such as geography, coordinates, and elevations in order to improve the accuracy of mapping, but there are the following problems: 1) For the operator and remote control The accuracy of the equipment is high; 2) The load capacity of the UAV is limited, and there are certain weight requirements for the equipment it carries, which leads to the mismatch between the weight of some equipment and th...

AI Technical Summary

Problems solved by technology

For data collection, most drones are equipped with radars, sensors, cameras and other equipment for aerial photography. The aerial photography content includes pictures and information such as geography, coordinates, and elevations in order to improve the accuracy of mapping, but there are the following problems: 1) For the operator and remote control The accuracy of the equipment is high; 2) The load capacity of the UAV is limited, and there are certain weight requirements for the equipment it carries, which leads to the mismatch between the weight of some equipment and the load capacity of the UAV; The range of motion is large, and the probability of damage is high due to the influence of battery life, signal transmission, and obstacle shielding; 4) Aerial photography collection costs are high, and a large amount of image data needs to be collected repeatedly, which increases costs

[0003] In addition, the state monitoring is mainly carried out by arranging personnel to monitor the location of each base tower + mobile control ball + 4G network information transmission. When the pulling distance is greater than 10km, it is difficult to realize the monitoring of the whole process of wire deployment due to the influence of objective factors such as mobile signals and personnel allocation; A single control ball cannot play a full-coverage monitoring role. If multiple control balls are arranged in sections, it will take up a lot of equipment and human resources; 3) The viewing angle of the control ball is usually arranged on the ground, which is affected by trees, houses, and terrain in mountainous areas. and other effects, the monitoring field of view is not visible, and the control ball cannot play the role of monitoring

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