方文,刘正,黄玉洁,等.基于多模态感知的危险废物环境风险评估与预警研究[J].中国环境管理,2022,14(4):13-18.
FANG Wen,LIU Zheng,HUANG Yujie,et al.Environmental Risk Assessment and Early Warning of Hazardous Waste Base on Multi-mode Sensor[J].Chinese Journal of Environmental Management,2022,14(4):13-18.
基于多模态感知的危险废物环境风险评估与预警研究
Environmental Risk Assessment and Early Warning of Hazardous Waste Base on Multi-mode Sensor
DOI:10.16868/j.cnki.1674-6252.2022.04.013
中文关键词:  危险废物  环境风险  多模态感知
英文关键词:hazardous waste  environmental risk  Multi-mode sensor
基金项目:国家自然科学基金项目(71921003,71761147002)。
作者单位E-mail
方文 南京大学环境学院 污染控制与资源化研究国家重点实验室, 江苏南京 210023
南京信息工程大学大气环境与装备技术协同创新中心, 江苏南京 210044 
 
刘正 南京大学环境学院 污染控制与资源化研究国家重点实验室, 江苏南京 210023  
黄玉洁 南京大学环境学院 污染控制与资源化研究国家重点实验室, 江苏南京 210023  
毕军 南京大学环境学院 污染控制与资源化研究国家重点实验室, 江苏南京 210023
南京信息工程大学大气环境与装备技术协同创新中心, 江苏南京 210044 
jbi@nju.edu.cn 
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中文摘要:
      为了有效地防范化解危险废物的环境风险,亟须构建风险的精细化评估与实时智能预警系统。然而,危险废物特性复杂、全过程流转链条长,传统的单一感知数据并不能满足环境风险评估和预警的需求。因此,本文提出基于多模态感知的危险废物环境风险评估与预警方法,采用物联网、大数据、人工智能等技术手段,实现危险废物基础信息、环境要素、空间信息的多模态实时感知,并通过感知信息的融合、分析,进行准则判断或现象描述。围绕以上研究思路,本文针对危险废物贮存环节及非法倾倒两个重要风险因子释放情景,设计了基于多模态感知的风险评估与预警方法,以期为危险废物环境风险的管控提供相应的服务与决策。
英文摘要:
      In order to effectively mitigate the environmental risk of hazardous waste, a refined risk assessment and real-time intelligent warning system is needed. However, the characteristics of hazardous waste are complex and the chain of circulation in the whole process is long, data obtained from single type of sensor cannot provide sufficient information for environmental risk assessment and warning. In this paper, we proposed the concept of using multi-mode sensor to accomplish hazardous waste environmental risk assessment and warning. Through combining the Internet of Things, big data, and artificial intelligence techniques, the hazardous waste basic information, environmental conditions, and information about location and geographic data can be accessed. Then the information obtained from multi-mode sensor should be processed using artificial intelligence methods to make judgments or phenomenon descriptions, thereby supporting environmental risk assessment and warning. According to this concept, we designed two multi-sensor based risk assessment case aiming at warning the risk during hazardous waste storage and illegal dumping.
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