基于VR虚拟现实技术的变电站智能巡检多场景识别模型研究

Research on Multi-scene Identification Model of Substation Intelligent Patrol Based on VR Virtual Reality Technology

变电站多场景巡检数据信息分散呈现,多场景识别工作效率下降,研究基于VR虚拟现实技术的变电站智能巡检多场景识别模型。该模型包括信息融合的智能展示、虚拟与现实融合的智能操控两部分。数据层与数据源层负责储存和调用场景识别所需的数据信息,传递至应用服务层,该层深入研究变电站设备健康指标体系完成巡检相关管理,通过信息融合技术,将各种巡检数据信息融合展示在可视化载体上;利用人工智能和机器视觉智能操控真虚交互,实现变电站智能巡检多场景识别。经实验验证,该模型能够清晰有效的识别变电站中的设备场景以及整体环境场景,有效辅助工作人员完成智能巡检工作,提高巡检工作效率。

The data and information of multi scene inspection in substation are presented dispersedly, and the efficiency of multi scene recognition is reduced. The intelligent inspection multi scene recognition model of substation based on vr virtual reality technology is studied. The model includes two parts: intelligent display of information fusion and intelligent control of virtual reality fusion. The data layer and data source layer are responsible for storing and invoking the data information needed for scene identification, and transferring it to the application service layer. This layer studies the health index system of substation equipment to complete the inspection related management, and displays various inspection data information on the visualization carrier through information fusion technology;uses artificial intelligence and machine vision intelligence to control the real virtual interaction, and realizes the transformation Station intelligent patrol multi scene recognition. Experiments show that the model can clearly and effectively identify the equipment scene and the overall environment scene in the substation, effectively assist the staff to complete the intelligent inspection work, and improve the efficiency of inspection work.