[1]张竞博,赵金龙,刘晓春,等.船载集装箱温度监测和火灾风险预警技术研究*[J].中国安全生产科学技术,2026,22(4):130-136.[doi:10.11731/j.issn.1673-193x.2026.04.016]
ZHANG Jingbo,ZHAO Jinlong,LIU Xiaochun,et al.Research on temperature monitoring and fire risk early warning technology for ship-borne containers[J].Journal of Safety Science and Technology,2026,22(4):130-136.[doi:10.11731/j.issn.1673-193x.2026.04.016]
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船载集装箱温度监测和火灾风险预警技术研究*
ZHANG Jingbo,ZHAO Jinlong,LIU Xiaochun,et al.Research on temperature monitoring and fire risk early warning technology for ship-borne containers[J].Journal of Safety Science and Technology,2026,22(4):130-136.[doi:10.11731/j.issn.1673-193x.2026.04.016]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 22
- 期数:
- 2026年4期
- 页码:
- 130-136
- 栏目:
- 火灾与爆炸安全
- 出版日期:
- 2026-04-30
文章信息/Info
- Title:
- Research on temperature monitoring and fire risk early warning technology for ship-borne containers
- 文章编号:
- 1673-193X(2026)-04-0130-07
- Keywords:
- container ship; fire monitoring; temperature field; infrared temperature measurement technology; convolutional neural network; long short-term memory network
- 分类号:
- X951
- 文献标志码:
- A
- 摘要:
- 为实现对于船载集装箱及时准确的火灾预警，针对船载集装箱的特点，提出分布式光纤测温和红外测温联合进行集装箱温度监测的方案。在此基础上，提出船载集装箱的火灾风险预警算法，该算法使用卷积神经网络模型和长短期记忆网络分别对时序温度场进行空间和时间层面的梯度检测，并考虑环境因素对集装箱温度场的影响，融合同时段内相应温度、湿度和风速等环境特征。研究结果表明：此算法识别船载集装箱火灾风险点的准确率能够达到98%以上。研究结果可为实现对船载集装箱的火灾风险点进行实时检测和精准定位提供1种技术方案。
- Abstract:
- In order to achieve timely and accurate fire early warning,this study proposes a scheme for joint container temperature monitoring using distributed optical fiber temperature measurement and infrared temperature measurement,tailored to the characteristics of ship-borne containers.Based on this,a fire risk early warning algorithm for ship-borne containers is proposed.This algorithm employs a convolutional neural network model and a long short-term memory network to perform gradient detection on the temporal temperature field at both spatial and temporal levels,while considering the impact of environmental factors on the container temperature field.It integrates environmental features such as temperature,humidity,and wind speed during the same period.The research results show that the accuracy rate of this algorithm in identifying fire risk points of ship-borne containers can reach over 98%.The research findings confirm that the proposed method can achieve real-time detection and precise localization of fire risk points in ship-borne containers.
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备注/Memo
- 备注/Memo:
-
收稿日期： 2026-01-16
* 基金项目： 国家重点研发计划项目（2024YFC3016804）；国家自然科学基金青年科学基金项目B类（52522407）
作者简介： 张竞博，本科生，主要研究方向为消防工程。
通信作者： 赵金龙，博士，教授，主要研究方向为流淌火灾、油池火灾机理与模型研究、化工园区定量风险评估等。
