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朱亦振, 姜林波, 龚精业. 人工智能视角下电力施工AR智能识别系统设计研究[J]. 农村电气化, 2023, (5): 40-43. DOI: 10.13882/j.cnki.ncdqh.2023.05.010
引用本文: 朱亦振, 姜林波, 龚精业. 人工智能视角下电力施工AR智能识别系统设计研究[J]. 农村电气化, 2023, (5): 40-43. DOI: 10.13882/j.cnki.ncdqh.2023.05.010
ZHU Yizhen, JIANG Linbo, GONG Jingye. Design and Research of AR Intelligent Identification System for Electric Power Construction from the Perspective of Artificial Intelligence[J]. RURAL ELECTRIFICATION, 2023, (5): 40-43. DOI: 10.13882/j.cnki.ncdqh.2023.05.010
Citation: ZHU Yizhen, JIANG Linbo, GONG Jingye. Design and Research of AR Intelligent Identification System for Electric Power Construction from the Perspective of Artificial Intelligence[J]. RURAL ELECTRIFICATION, 2023, (5): 40-43. DOI: 10.13882/j.cnki.ncdqh.2023.05.010

人工智能视角下电力施工AR智能识别系统设计研究

Design and Research of AR Intelligent Identification System for Electric Power Construction from the Perspective of Artificial Intelligence

  • 摘要: 电力施工现场需要极为严格的安全管控以降低误操作率,减少安全事故。研究从人工智能和AR技术出发,构建了一种专门应用于电力施工现场监控的智能识别系统。该系统以卷积神经网络算法为基础,实现了对电力施工现场人员、设备等的实时监控,可以满足不同班组、不同岗位人员在同一大场景下的配合作业,在很大程度上提高了人员处理突发事件和团队协作能力,为电力安全施工提供了保障。

     

    Abstract: The electric power construction site requires extremely strict safety control to reduce safety accidents caused by misoperation. Based on artificial intelligence and AR technology, this paper constructs an intelligent identification system which is specially applied to power construction site monitoring. Based on convolution neural network algorithm, the system realizes real-time monitoring of personnel and equipment at the power construction site. It can meet the cooperation of different teams and different positions in the same scene. To a large extent, it has improved the ability of power employees to deal with emergencies and team cooperation, and provided sufficient guarantee for the safe construction of power.

     

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