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多传感器融合的火灾监测机器人设计

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针对目前火灾报警系统不能应用在城市中非密闭空间的问题,提出一种适用于非密闭空间的多传感器融合的火灾监测机器人.该机器人采用履带式结构适应多地形移动,根据城市内非密闭下空间火势初期主要特征参数确定采集模块的搭建;利用D-S证据理论对多传感器火灾数据进行融合检测,以降低单个传感器的误报率,来提高对非密闭空间火灾事故的精确判定,并对火灾进行现场警报与远程回传.实验表明,与单一传感器判断相比,引入D-S证据理论的火灾监测机器人的火灾检测不确定性下降,检测精度得到了提高.
Design of fire monitoring robot based on multi-sensor fusion
To solve the problem that the current fire alarm system cannot be applied to the non-enclosed space in cities,a multi-sensor fusion fire monitoring robot is proposed.The robot adopts crawler structure to adapt to multi-terrain movement,and determines the construction of acquisition module according to the main characteristic parameters in the initial stage of fire in the unsealed space in the city.D-S evidence the-ory is used to fuse and detect the fire data of multiple sensors,so as to reduce the false alarm rate of a sin-gle sensor and improve the accurate judgment of fire accidents in non-enclosed spaces.Besides,the robot also carries out on-site alarm and remote return of fire.The experiment shows that compared with the single sensor judgment,the fire detection uncertainty of the fire monitoring robot with D-S evidence theory is re-duced,and the detection accuracy is improved.

multi-sensor data fusionfire monitoringDempster-Shafer evidence theorynon-enclosed spacefire simulation

朱颖、邹绮琦

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广东工业大学华立学院,广州 511325

多传感器数据融合 火灾监测 Dempster-Shafer证据理论 非密闭空间 火灾仿真

国家级大学生创新训练项目(2020)

2020-13656055

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(5)