Wearable Device-Based Intelligent Patrol Inspection System Design and Implementation

Wearable Device-Based Intelligent Patrol Inspection System Design and Implementation

Chengming Jin, Donghui Tong
Copyright: © 2023 |Pages: 10
DOI: 10.4018/IJDST.317938
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The traditional on-site operation of power stations includes inspection and maintenance. However, it heavily relies on experience for maintenance. Most on-site operation and maintenance data are text records. On the one hand, the data processing is tedious for experience to affect the safe on-site operation. On the other hand, we usually cannot give full consideration to the value of maintenance experience, so that the corresponding efficiency is very low. Therefore, this paper proposes a wearable device based remote and intelligent patrol inspection system that uses the cloud video transmission mode of both public and private clouds to realize the video connection between the power stations and the remote diagnosis center and uses the wearable devices for real experience. In this way, the authors can simulate real operation guidance and safety supervision, etc. so as to realize the remote management patrol operations, improve the fault detection efficiency, and improve equipment reliability.
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1. Introduction

During the on-site operation, the production personnel can realize the ledger, fixed value and drawing inspection through the intelligent glasses voice control, liberate their hands and improve the work quality and efficiency. The technicians of the remote diagnosis center can mark the video content on the PC side, which is convenient for the on-site personnel to understand (Nwaogu et al. 2021). In addition, the on-site homework can be recorded through smart glasses, which can be used for retrospective and training. It can better adapt to the development needs of industrial field operation to standardization, intelligence and safety, and better meet the remote technical support to overseas power stations (Bergman et al. 2005). It has great technical superiority and broad application space, which represents the development direction of intelligent wearable + cloud video technology in industrial application (Ahmad et al. 2012).

Power stations have the natural properties of intensive equipment and high degree of automation. The inspection of power station operation requires a lot of data monitoring of the field equipment to ensure that the equipment is in good condition (Brayne et al. 2017). When the equipment is overhauled, the operator needs to operate the equipment, put the equipment into the state of maintenance, and the maintenance personnel carry out maintenance according to the data such as drawing paper and maintenance process. At the same time, the on-site operation has the characteristics of complex working environment, many working sites and wide areas, frequent high-risk operations, such as high-altitude operation, live working, cross-working and so on (Carlucci et al. 2015). There are many unsafe factors of man-made unsafe behavior and environment in the process of production operation (Zhang et al. 2020).

According to the characteristics of the field operation of the power station, the intelligent wearable equipment can solve the above problems through the functions of calculation, monitoring, video communication and so on (Feng et al. 2021). Because there are many functions to be integrated, it tends to use large helmet-type or helmet-based smart glasses in power generation enterprises to meet the needs of daily on-site operations. At the same time, according to the business requirements of remote technical support, a remote technical support service system is built (Luo et al. 2021). Based on the same platform, realize the functions of remote technical support, operation and maintenance guidance, video communication and so on. In network applications, it should be divided into data transmission construction mode through public cloud and hybrid cloud according to demand, that is, audio and video communication uses public cloud, and file transfer uses hybrid cloud for data transmission (Talaat et al. 2020).

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