Efficiency and Safety Improvement of Power Equipment Smart Inspection and Operation via Augmented Reality Glasses based on AI Technology

Xiaoxiong Lu, J. Zhang, Kai Chen, Di Ma, Yingmei Zhang, Y. Wan
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Abstract

In order to solve the common problems such as low efficiency, heavy labor consumption, incomplete inspection existing in the operation and maintenance of traditional power equipment and improve the overall operation and application efficiency, this work presents a kind of wearable metering device based inspection method of the augmented reality system consists of wearable smart augmented reality glasses, used for taking pictures, recording, scanning the bar code for data information acquisition, and selectively through gestures or voice operation real-time display the required information. The collected data is sent to the intelligent mobile terminal through wireless transmission. Eventually, the system can realize the display of login interface and function menu interface, voice recognition and gesture recognition function, and work order acquisition and feedback. We provide experiments to show the superiority of the system designed in this work in meter reading and accounting tasks and real-time response.
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基于AI技术的增强现实眼镜提升电力设备智能巡检运行效率与安全性
为了解决传统电力设备运维中普遍存在的效率低、劳动消耗大、检测不全等问题,提高整体运行和应用效率,本工作提出了一种基于可穿戴计量装置的增强现实系统检测方法,该系统由可穿戴智能增强现实眼镜组成,用于拍照、记录、扫描条形码进行数据信息采集,并有选择地通过手势或语音操作实时显示所需要的信息。采集到的数据通过无线传输发送到智能移动终端。最终,系统可以实现登录界面和功能菜单界面的显示、语音识别和手势识别功能、工单采集和反馈功能。通过实验证明了所设计的系统在抄表记帐任务和实时响应方面的优越性。
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Evaluation of Network Security State of Industrial Control System Based on BP Neural Network Operation Characteristics and Thermal Stability of Conductor Splice Tube under Overheat Operation Fatigue Damage Simulation Analysis Prediction Model of Power Grid Project Duration Based on BP Neural Network Self-Adaptive Knowledge Embedding for Large-Scale Electronic Component Knowledge Graph 2022 the 4th World Symposium on Artificial Intelligence (WSAI)
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