[1]范婷.智慧工地视觉智能技术深化应用探讨[J].油气储运,2024,43(09):1-9.
Fan Ting.Discussion on the Deepening Application of Visual Intelligence Technology in Smart Construction Sites[J].Oil & Gas Storage and Transportation,2024,43(09):1-9.
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《油气储运》[ISSN:1000-8241/CN:13-1093/TE]
卷:
43
期数:
2024年09期
页码:
1-9
栏目:
出版日期:
2024-09-25
- Title:
-
Discussion on the Deepening Application of Visual Intelligence Technology in Smart Construction Sites
- 作者:
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范婷
-
- Author(s):
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Fan Ting
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-
- 关键词:
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全周期管理; 智能防控; 人脸布控; 智能搜图; 跨镜追踪; 智能研判
- Keywords:
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Full-cycle management; Intelligent prevention and control; Face control; Intelligent image search; Cross-camera tracking; Intelligent judgment
- 分类号:
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TE88
- 文献标志码:
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A
- 摘要:
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【目的】油气储运建设工程的工地现场环境恶劣、作业危险系数高、施工人员成分复杂,工地安全管理面临巨大困难,而视觉智能技术的应用可为提升工地安全管控能力提供有效的技术支撑。【方法】针对视觉智能技术在智慧工地中应用的不足,首先提出全周期管理模式的理念及意义;其次围绕全周期管理模式深入分析和探讨视觉智能技术在智慧工地中的深化应用,结合工地安全实际管理需要,提出智慧工地全周期管理的视频AI+安防模式;最后对智慧工地视觉智能技术的应用发展趋势进行展望。【结果】智慧工地全周期管理的视频AI+安防模式构建了全场景安全监控、全要素风险识别、全方位事件管理的安全管理运行保障机制,确保了安全管理无盲区、无遗漏,实现了智慧工地安全管理的全面性、连续性和精细化;通过对海量视频数据的深度挖掘分析,更加全面地理解工地安全问题和管理挑战,建立数据驱动、数据指引的管理决策机制,通过更加智能、精准地分析研判和科学决策可进一步提升工地安全管理的质量和效能。【结论】智慧工地全周期管理的视频AI+安防模式创新地将智能监控与智能研判应用于工地安全管理的事前、事中、事后各个环节,每个环节相互关联构成完整的安全管理循环,消除管理盲区实现了全方位的安全管理,可为油气储运行业技术人员在智慧工地场景深化应用视觉智能技术提供参考与借鉴。
- Abstract:
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Abstract: [Objective] The construction site of oil and gas storage and transportation projects is characterized by harsh environmental conditions, high operational risks, and a complex composition of construction personnel, posing enormous challenges for on-site safety management. The application of visual intelligence technology can provide effective technical support for enhancing safety management and control capabilities at construction sites. [Methods] In response to the shortcomings of visual intelligence technology in the application of smart construction sites, this paper first proposes the concept and significance of the whole life cycle management model. Then, it delves into the in-depth application of visual intelligence technology in smart construction sites centered around the whole life cycle management model, and in light of the actual safety management needs of the construction site, puts forward a video AI plus security model for the whole life cycle management of smart construction sites. Finally, the paper looks forward to the development trend of the application of visual intelligence technology in smart construction sites. [Results] The video AI plus security model for the whole life cycle management of smart construction sites has established a safety management operation guarantee mechanism that includes full-scene safety monitoring, full-factor risk identification, and comprehensive event management, ensuring that safety management is free of blind spots and omissions, and achieving comprehensiveness, continuity, and refinement in the safety management of smart construction sites. Meanwhile, through in-depth mining and analysis of massive video data, a more comprehensive understanding of construction site safety issues and management challenges is gained, and a data-driven, data-guided management decision-making mechanism is established. More intelligent and precise analysis, judgment, and scientific decision-making further enhance the quality and effectiveness of construction site safety management. [Conclusion] The video AI plus security model for the whole life cycle management of smart construction sites innovatively applies intelligent monitoring and intelligent judgment to all aspects of construction site safety management, including pre-event, during-event, and post-event stages. Each link is interrelated, forming a complete safety management cycle that eliminates management blind spots and achieves comprehensive safety management. This model has a certain guiding and leading role in the construction of smart construction sites and can provide references for industry technical personnel in the deep application of visual intelligence technology in smart construction site scenarios.