为增强舰船的生存能力，设计舰船火灾爆炸危险性评估与预警系统。从舰船自身可燃物、舰船火源、人为因素以及外界环境等角度出发，选取可燃物数量、舰船电气故障短路等16个评估指标构建舰船火灾爆炸危险性评估指标体系，采用模糊评估方法构建模糊综合评估模型，基于评估指标与评估等级间的模糊隶属度，获取最终评估结果。采用数据挖掘技术分析历史舰船火灾爆炸危险性评价结果生成规则库，待评估舰船的相关信息通过此规则库后可得到危险性等级，若达到设定的预警标准，即发出危险性预警通知。实验结果显示该系统所选的评估指标具有较高可应用性，能够准确评估舰船火灾爆炸危险性，并进行预警，避免事故的发生。
To enhance the survival ability of ships, a fire and explosion risk assessment and early warning system for ships is designed. Starting from the perspectives of ship's own combustibles, ship fire sources, human factors, and external environment, 16 evaluation indicators such as the quantity of combustibles, ship electrical faults and short circuits are selected to construct a ship fire and explosion risk assessment index system. A fuzzy comprehensive evaluation model is constructed using fuzzy evaluation methods, and the final evaluation results are obtained based on the fuzzy membership degree between the evaluation indicators and the evaluation level. Using data mining technology to analyze the risk assessment results of historical ship fires and explosions, a rule library is generated. The relevant information of the evaluated ship can be obtained through this rule library to obtain the risk level. If the set warning standards are met, a danger warning notice is issued. The experimental results show that the evaluation indicators selected by the system have high applicability and can accurately evaluate the risk of ship fire and explosion, and provide early warning to avoid accidents.
2024,46(2): 165-169 收稿日期：2023-06-08
DOI：10.3404/j.issn.1672-7649.2024.02.029
分类号：U676
作者简介：郑智育(1986-),男,硕士,高级工程师,研究方向为安全管理
参考文献：
[1] 孙磊, 马勇, 郭东亮, 等. 火灾预警系统监测信号漂移和毛刺抑制研究[J]. 消防科学与技术, 2022, 41(12): 1640-1644.
SUN Lei, MA Yong, GUO Dong-liang, et al. Research on monitoring signal drift and burr suppression of intelligent fire warning system[J]. Fire Science and Technology, 2022, 41(12): 1640-1644.
[2] 薛奕, 王文浩, 褚新颖, 等. 基于道化学火灾爆炸危险指数法的烷基化反应单元定量风险评估研究[J]. 南开大学学报(自然科学版), 2022, 55(4): 97-105.
[3] 王欢, 杨万英, 王冬雷, 等. 基于三角模糊结构元的地下商场火灾风险评估[J]. 工业安全与环保, 2022, 48(5): 6-9+94.
WANG Huan, YANG Wan-ying, WANG Dong-lei, et al. Fire risk assessment of underground shopping malls based on triangular fuzzy structuring element[J]. Industrial Safety and Environmental Protection, 2022, 48(5): 6-9+94.
[4] 薛峰, 李希建, 徐恩宇, 等. 变权-突变级数在矿井火灾危险性评估中的应用[J]. 消防科学与技术, 2022, 41(9): 1242-1246.
XUE Feng, LI Xi-jian, XU En-yu, et al. Application of variable weight-mutation series in mine fire risk analysis[J]. Fire Science and Technology, 2022, 41(9): 1242-1246.
[5] 詹锦皓, 李维波, 李齐, 等. 基于比例伪时序算法的舰船电力风险评估系统[J]. 中国舰船研究, 2022, 17(1): 176-186.
ZHAN Jin-hao, LI Wei-bo, LI Qi, et al. Ship power risk assessment system based on proportional pseudo time-series algorithm[J]. Chinese Journal of Ship Research, 2022, 17(1): 176-186.
[6] 吴莲花, 张义平, 刘开心. 基于博弈论-未确知测度理论的煤矿瓦斯爆炸风险评估[J]. 化工矿物与加工, 2023, 52(6): 13-19+23.
[7] 郑珊珊, 肖霞, 祝佳琰. 舰船舱室吸气式火灾探测报警系统设计及试验验证[J]. 消防科学与技术, 2021, 40(8): 1209-1212.
ZHENG Shan-shan, XIAO Xia, ZHU Jia-yan. Design and experimental verification of aspirating smoke detection and alarm system for ship cabin[J]. Fire Science and Technology, 2021, 40(8): 1209-1212.
