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投稿时间:2023-09-12 修订日期:2023-09-24
投稿时间:2023-09-12 修订日期:2023-09-24
中文摘要: 在核电厂数字化转型以及智慧化发展的趋势下,工程建造领域开展智慧化项目实施的需求愈发强烈。文章介绍了智慧工地平台再田湾核电站的建设背景,以及所使用的关键技术例如5G+MEC无线网络技术和边缘计算技术、北斗+蓝牙定位技术、以及视频监控和AI智能分析等手段等,对项目功能架构和美。文章从主要功能门口入手,介绍了智慧工地平台的功能架构。项目实现工程建设区域的5G无线网络全覆盖、实时视频监控、实现对工程安全监管行为的AI实时分析和预警、施工现场人员和车辆实时定位和报警、与施工现场的广播系统联动、实现施工现场的实时环境监测、实现工程现场的门禁控制和人员实时管理。文字分析了应用效果以及相关运营管理制度。通过平台的实施实现自应速度和事件的处置速度,变被动式管理为主动式智能化管理,有效提高施工现场的管理水平和管理效率。
Abstract:Under the trend of digital transformation and intelligent development of nuclear power plants, the demand for implementing intelligent projects in the field of engineering construction is becoming increasingly strong. This article introduces the construction background of the intelligent construction site platform of the Tianwan Nuclear Power Plant and the key technologies used, such as 5G+MEC wireless network technology and edge computing technology, Beidou+Bluetooth positioning technology, video surveillance and AI intelligent analysis techniques. The article introduces the functional architecture of the intelligent construction site platform from the main functions. The project realizes 5G wireless network full coverage in the engineering construction area, real-time video surveillance, AI real-time analysis and early warning of engineering safety supervision behaviors, real-time positioning and warning of personnel and vehicles at the construction site, linkage with the broadcasting system at the construction site, real-time environmental monitoring at the construction site, and access control and real-time personnel management at the construction site. The article analyzes the application effects and related operation and management systems. Through the implementation of the platform, the response speed and event handling speed are achieved, passive management is transformed into active intelligent management, and the management level and efficiency at the construction site are effectively improved.
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Author Name | Affiliation | |
Hu Wei | China Nuclear Power Engineering Co, Ltd | huwei02@cnnp.com.cn |
Yang Qiang | Nuclear Power Operations Research Institute | yangqiang@cnnp.com.cn |
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