[1]邹晓峰,徐青,吴文学,等.深度融合造船业务流程的智慧安全管控架构研究*[J].中国安全生产科学技术,2025,21(9):176-183.[doi:10.11731/j.issn.1673-193x.2025.09.022]
ZOU Xiaofeng,XU Qing,WU Wenxue,et al.Research on intelligent safety management architecture deeply integrated with shipbuilding business processes[J].Journal of Safety Science and Technology,2025,21(9):176-183.[doi:10.11731/j.issn.1673-193x.2025.09.022]
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深度融合造船业务流程的智慧安全管控架构研究*
ZOU Xiaofeng,XU Qing,WU Wenxue,et al.Research on intelligent safety management architecture deeply integrated with shipbuilding business processes[J].Journal of Safety Science and Technology,2025,21(9):176-183.[doi:10.11731/j.issn.1673-193x.2025.09.022]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 21
- 期数:
- 2025年9期
- 页码:
- 176-183
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2025-09-30
文章信息/Info
- Title:
- Research on intelligent safety management architecture deeply integrated with shipbuilding business processes
- 文章编号:
- 1673-193X(2025)-09-0176-08
- Keywords:
- shipbuilding; production planning; three major terminals; digitalization; intelligent safety management
- 分类号:
- X913
- 文献标志码:
- A
- 摘要:
- 为解决船舶建造过程中人、设备和环境等缺少实时安全管控问题，提出基于船舶建造生产计划的三大终端智慧安全管控架构，结合船舶建造工序工位的安全风险识别，针对工序工位的生产计划、生产对象及人员、设备与环境三大终端，开展多源异构数据的安全管控大数据分析方法研究，实时联动造船生产计划与三大终端要素的安全数据，实时监测三大终端安全状态，自动预警并及时消除安全隐患。对重大设备600 t门式起重机柔性腿安装防撞幕墙系统，实时探测柔性腿移动方向一定范围内的障碍物信息，结合生产吊运计划实时分析600 t门式起重机运行安全状态，消除安全隐患，保障重大设备吊装作业安全生产。研究结果表明：智慧安全管控可自动获取船舶建造生产计划、人员、设备和环境等数据，实时监测工序工位的安全状态并进行大数据分析，实现船舶建造生产过程实时监控、提前预警，可提高船厂数字化、智能化的安全管理水平，保障船舶建造安全生产。
- Abstract:
- In order to address the lack of real-time safety management over personnel,equipment,and environment during shipbuilding processes,a three-terminal intelligent safety management architecture based on shipbuilding production planning is proposed.By combining safety risk identification for shipbuilding procedures and workstations,this architecture conducts research on big data analytics for safety management of multi-source heterogeneous data across three major terminals: production planning,production objects and personnel,and equipment and environment.It achieves real-time linkage between shipbuilding production plans and safety data from the three major terminals,monitors their safety status dynamically,and automatically issues early warnings to eliminate potential hazards.For critical equipment like the 600-ton gantry crane,a collision-prevention curtain system installed on its flexible legs detects obstacles within a defined range of the flexible legs’ movement direction in real-time.Combined with the production hoisting plan,it analyzes the operational safety status of the 600-ton gantry crane in real-time,eliminating safety risks and ensuring safe production during major equipment hoisting operations.The results demonstrate that the intelligent safety management system can autonomously acquire data from production plans,personnel,equipment,and environment.It enables real-time monitoring and big data analysis of safety conditions at procedural workstations,achieving real-time monitoring and proactive early warnings throughout shipbuilding production processes.This approach significantly enhances digital and intelligent safety management level of shipyards,ensuring the safety production of shipbuilding.
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相似文献/References:
备注/Memo
- 备注/Memo:
-
收稿日期： 2024-11-23
* 基金项目： 工信部重大专项资助项目（CBG01N23）
作者简介： 邹晓峰，硕士，研究员，主要研究方向为船舶研发、设计和建造生产管理等。
通信作者： 苏士斌，博士，正高级工程师，主要研究方向为船舶建造、数字化转型及安全生产等。
