基础设施工程安全智能化管控变革、挑战与思考

doi:10.16265/j.cnki.issn1003-3033.2024.07.0187

中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (7): 8-19.doi: 10.16265/j.cnki.issn1003-3033.2024.07.0187

• 安全社会科学与安全管理 • 上一篇下一篇

基础设施工程安全智能化管控变革、挑战与思考

林鹏¹^,²(), 向云飞¹, 樊启祥³, 何炜⁴, 刘元广⁵

¹ 清华大学水利水电工程系,北京 100084
² 清华大学四川能源互联网研究院,四川成都 610213
³ 中国华能集团有限公司,北京 100031
⁴ 中国三峡建工(集团)有限公司,四川成都 610041
⁵ 中国水利水电第十一工程局有限公司, 河南郑州 450001

收稿日期:2024-01-14 修回日期:2024-04-17 出版日期:2024-07-28
作者简介:
林鹏 (1972—),男,湖北黄冈人,博士,教授,主要从事工程智能建造、智能安全管理、智能温控等方面的研究。E-mail: celinpe@tsinghua.edu.cn。
樊启祥教授级高级工程师；
何炜教授级高级工程师；
刘元广教授级高级工程师
基金资助:
华能集团科技项目(JC2022/D01); 华能集团科技项目(HNKJ21-H35); 华能集团科技项目(HNKJ23-H4); 中国三峡建工(集团)有限公司科技项目(WDD/0578); 中国三峡建工(集团)有限公司科技项目(BHT/0905); 下凯富峡水电站施工关键技术研究科技成果咨询服务项目(SH-KGL-SUB-2021003); 中国水电坦桑尼亚 Julius Nyerere 水电站施工关键技术研究科技成果咨询服务项目(SHC-JNHPP-JSFW-01-18012022)

Evolution, challenges, and thoughts on intelligent management and control for infrastructure engineering safety

LIN Peng¹^,²(), XIANG Yunfei¹, FAN Qixiang³, HE Wei⁴, LIU Yuanguang⁵

¹ Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
² Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu Sichuan 610213, China
³ China Huaneng Group Co., Ltd., Beijing 100031, China
⁴ China Three Gorges Construction Engineering Co., Ltd., Chengdu Sichuan 610041, China
⁵ Snohydro Bureau 11 Co., Ltd., Zhengzhou Henan 450001, China

Received:2024-01-14 Revised:2024-04-17 Published:2024-07-28

摘要/Abstract

摘要：

为实现我国未来基础设施工程安全优质高效绿色建设,研究基础设施工程安全智能化管控的共性问题与特征。首先,梳理其发展脉络,将其变革历程划分为风险源智能识别与管控、数据驱动隐患排查治理、安全智能化管控体系完善以及全面智能化管控4个阶段,总结不同阶段的成功经验;其次,以统筹兼顾、协同管控的视角分析基础设施工程安全智能化管控所面临的挑战,从“人、物、环、管”的角度剖析其特点;然后,在揭示基础设施工程安全智能化管控发展特征和面临挑战的基础上,从安全管理流程、工程建设全生命周期和发展层次3个维度出发,提出敬安、智安、本安、数智、数能和数值的智能化管控思考;最后,展望未来智能安全发展路径。结果表明:我国基础设施工程安全智能化管控由经验式向数据驱动式拓展,并加快融合新技术、新装备和新工艺。安全智能化管控是基础设施工程智能建造与管理的重要延伸,主要体现为对安全管理理念、方法、系统的重塑以及数据资产的价值挖掘。未来,基础设施工程安全智能化管控将朝着全面数据化融合、知识驱动、虚实结合、人机协同和全生命周期管控等方向发展,同时,数据隐私保护与规范治理的重要性也将日益突出。

关键词: 基础设施工程, 安全智能化管控, 智能安全, 闭环控制, 变革, 发展路径

Abstract:

To ensure the safe, high-quality, efficient, and environmentally friendly construction of future infrastructure projects, it is crucial to investigate the prevalent issues and characteristics of intelligent safety management and control practices in infrastructure projects. Firstly, the evolutionary process of intelligent safety management and control was comprehensively reviewed. It includes four distinct stages: intelligent identification and control of risk sources, data-driven identification and rectification of safety hazards, enhancement of intelligent safety management and control system, and comprehensive integration of intelligent management and control. On this basis, the successful experiences of different stages were summarized. Secondly, the challenges encountered in intelligent safety management and control were analyzed from the perspective of overall collaborative management, and its characteristics were analyzed from the perspective of "people, objects, environment, and management". Subsequently, starting from the three dimensions of safety management process, the whole life cycle of engineering construction, and the development level, the thoughts on intelligent management and control for infrastructure engineering safety were proposed, focusing on "reverence for safety, intelligent safety, inherent safety, digital intelligence, digital capability, and digital value". Finally, the future development path of intelligent safety management and control was envisioned. The results show that the safety management and control of infrastructure projects are transitioning from experience-based to data-driven approaches, while rapidly integrating new technologies, equipment, and processes. Intelligent safety management and control represents a significant extension of intelligent construction and management in infrastructure engineering. This is mainly evidenced by the transformation of safety management concepts, methods, and systems, as well as the value extraction from data assets. In the future, the intelligent management and control for infrastructure engineering safety will develop to comprehensive data fusion, knowledge-driven, virtual and real integration, human-machine collaboration, and full life-cycle control. At the same time, the importance of data privacy protection and standardised governance will become increasingly prominent.

Key words: infrastructure engineering, intelligent safety management and control, intelligent safety, closed-loop control, evolution, development path

中图分类号:

X923安全科研管理

林鹏, 向云飞, 樊启祥, 何炜, 刘元广. 基础设施工程安全智能化管控变革、挑战与思考[J]. 中国安全科学学报, 2024, 34(7): 8-19.

LIN Peng, XIANG Yunfei, FAN Qixiang, HE Wei, LIU Yuanguang. Evolution, challenges, and thoughts on intelligent management and control for infrastructure engineering safety[J]. China Safety Science Journal, 2024, 34(7): 8-19.

图/表 4

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基础设施工程安全智能化管控变革、挑战与思考

Evolution, challenges, and thoughts on intelligent management and control for infrastructure engineering safety

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