摘要
针对突发性水污染事件应急监测和智能模拟分析需求,研究了多传感器立体协同监测模型,建立了突发性水污染事件的时间、空间属性和传感器观测性能之间的相关关系,实现了卫星、无人机、地面、水上平台的动态、协同组网。在丹江口库区开展了突发性水污染事件动态组网立体监测实验分析,根据水污染事件发生时、动态演变过程中和事件后期3个阶段的不同观测需求,基于多传感器立体协同监测模型,深入开展了多传感器协同优化求解,确定了相应的观测平台及传感器。实验结果表明,协同、高效的“天空地一体化”立体感知网能够全面、精准、快速获取水污染事件监测信息,可以科学支撑突发性水污染事件的应急处置。
This paper addresses the need for emergency monitoring and intelligent simulation in response to sudden water pollution events.We established the correlations of sensor performance with time,space,and attributes and constructed a multi-sensor synergetic monitoring model to accomplish the dynamic and collaborative sensing through a network of satellite,UAV(Unmanned Aerial Vehicle),ground and water platforms.We selected Danjiangkou Reservoir as a demonstration area for dynamic network monitoring of sudden water pollution events.Based on the specific observation requirements during the occurrence,dynamic evolution,and later stages of water pollution events,we determined the corresponding platforms and sensors required.Experimental results manifest that the proposed multi-sensor network captures the water pollution monitoring information comprehensively,accurately,and rapidly.Moreover,it provides scientific support for emergency response and treatment of sudden water pollution events.
作者
申邵洪
姜莹
陈希炽
向大享
陈喆
文雄飞
SHEN Shao-hong;JIANG Ying;CHEN Xi-chi;XIANG Da-xiang;CHEN Zhe;WEN Xiong-fei(R&D Department,Changjiang River Scientific Research Institute,Wuhan 430010,China;Wuhan Center for Intelligent Drainage Engineering Technology Research,Changjiang River Scientific Research Institute,Wuhan 430010,China;Spatial Information Technology Application Department,Changjiang River Scientific ResearchInstitute,Wuhan 430010,China)
出处
《长江科学院院报》
CSCD
北大核心
2024年第3期160-165,共6页
Journal of Changjiang River Scientific Research Institute
基金
国家重点研发专项(2021YFC3000205-05)
青海省科技厅项目(2020-SF-151)
武汉市重点研发计划项目(2023010402010586)
中央级公益性科研院所基本科研业务费项目(CKSF2021485,CKSF2021743,CKSF2019411)。
关键词
突发性水污染事件
动态组网
立体监测
多传感器
sudden water pollution event
dynamic network
stereoscopic monitoring
multiple sensors
