LIU Siqi,HUANG Ping,CHEN Gangyi,et al.Research on Big Data and Emergency Prevention of Disaster based on IOT and the Internet[J].Journal of Chengdu University of Information Technology,2020,35(05):584-588.[doi:10.16836/j.cnki.jcuit.2020.05.018]
基于物联、互联灾害大数据与应急预防研究
- Title:
- Research on Big Data and Emergency Prevention of Disaster based on IOT and the Internet
- 文章编号:
- 2096-1618(2020)05-0584-05
- Keywords:
- disaster information; BigData; disaster information cloud; digitizing; emergency management
- 分类号:
- D630.8
- 文献标志码:
- A
- 摘要:
- 为实现多灾种、灾害链的综合防灾、减灾、救灾和应急预防,通过分析自然灾害大数据信息特征类型、灾害信息数字化和灾害云的特征,讨论自然灾害大数据的应急预防,提出基于物联-互联灾害大数据和灾害云的应急管理系统。实现(1)在组织架构上将专业减灾与群测群防形成统一体; 制度上实现防灾减灾,人人有责,每个人、每个单位都既是综合防灾减灾的贡献者,又是安全防护的受益者,生命和财产的受保护者。(2)实现政府应急部门、专业防灾减灾事业和科研单位一体化,实现政府、企业、社区(乡村)和个人灾害安全信息综合服务,具有巨大的社会价值。
- Abstract:
- In order to realize the comprehensive disaster prevention, disaster reduction, disaster relief and emergency prevention of multiple disasters and disaster chain. This paper analyzes the information feature types, disaster information digitization and disaster cloud of natural disaster big data, and discusses the emergency prevention of natural disaster big data.An emergency management system based on IOT-interconnection disaster data and disaster cloud is proposed.To realize the integration of professional disaster reduction and mass detection and defense in the organizational structure; It is everyone’s responsibility to realize disaster prevention and reduction institutionally. Every person and unit is a contributor to comprehensive disaster prevention and reduction, a beneficiary of security protection and a protector of life and property.We will integrate government emergency departments, specialized disaster prevention and reduction programs, and scientific research institutions.Realizing To realize integrated disaster safety information services for government, enterprises, communities(villages)and individuals has.Has great social value.
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备注/Memo
收稿日期:2020-03-28
基金项目:四川省社会科学高水平研究团队“旅游大数据可视化决策研究团队”项目基金资助项目(2015Z177); 四川省高校人文社科重点研究基地“气象灾害预测预警与应急管理研究中心 ”基金资助项目(ZHYJ20-YB03)。