Substation inspection path planning device and method based on wearable device
An inspection path and wearable device technology, applied in the field of inspection path planning, can solve the problem of no path planning method, save inspection time, optimize inspection paths, and improve inspection efficiency.
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Embodiment 1
[0049] refer to figure 1 As shown, the substation inspection path planning device based on wearable devices includes:
[0050] The wearable MR device module 1 scans and inspects the indoor information of the substation to obtain rough surface data;
[0051] The background server module 3 includes the Unity image processing module 4 and the genetic algorithm module 5. The Unity image processing module processes the rough surface data obtained by the wearable MR device module. The processing result of the image processing module is used to call the genetic algorithm module to generate indoor path planning;
[0052] Communication layer module 2, the wearable MR device module performs bidirectional transmission of information through the communication layer module and the background server module, including the transmission of inspection information and the transmission of auxiliary inspection information.
[0053] refer to figure 2 As shown, the wearable MR device module 1 incl...
Embodiment 2
[0082] The path planning method for substation inspection system based on wearable device includes the following steps:
[0083] 1) The background server module stores the historical inspection data, and at the same time saves the real-time data of the primary equipment collected by the SCADA system in real time, so that it can be retrieved during inspection;
[0084] 2) The inspection personnel log in to the wearable MR device module they wear through their job number to obtain the inspection task list. Every time they go to an inspection room, the MR device scans the special sign at the door and calls the Unity image processing module for image recognition. The system confirms the room to be inspected by comparing with the stored image, and forms a sequence of the number of the equipment to be inspected in the room to be inspected according to the task list. The background server module calls the genetic algorithm module to find the optimal sequence and generates an indoor pa...
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