面向突发性水污染事件的多传感器动态组网立体监测
Dynamic Monitoring Network with Multi-sensors for Sudden Water Pollution Events
申邵洪 1姜莹 2陈希炽 2向大享 2陈喆 2文雄飞2
作者信息
- 1. 长江科学院科研计划处,武汉 430010;长江科学院武汉市智慧流域工程技术研究中心,武汉 430010
- 2. 长江科学院武汉市智慧流域工程技术研究中心,武汉 430010;长江科学院空间信息技术应用研究所,武汉 430010
- 折叠
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.
Abstract
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 Res-ervoir as a demonstration area for dynamic network monitoring of sudden water pollution events.Based on the specif-ic 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.Moreo-ver,it provides scientific support for emergency response and treatment of sudden water pollution events.
关键词
突发性水污染事件/动态组网/立体监测/多传感器Key words
sudden water pollution event/dynamic network/stereoscopic monitoring/multiple sensors引用本文复制引用
基金项目
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)
中央级公益性科研院所基本科研业务费项目(CKSF2021743)
中央级公益性科研院所基本科研业务费项目(CKSF2019411)
出版年
2024
国家科技期刊平台
NSTL
万方数据