{"title":"智能互联网背景数据的统计分析","authors":"Wen Tian, Chongfu Huang","doi":"10.2991/dramclr-19.2019.34","DOIUrl":null,"url":null,"abstract":"The online computing module supported by geospatial information diffusion technology can obtain complete disaster data through incomplete background data in the early stage of disasters, thus making up the disaster data blank and supporting accurate rescue. Among them, with the advent of the Internet era, the acquisition of background data will realize the transition from traditional static acquisition to dynamic acquisition with networked disaster data as the main body. Systematic background data statistics is the basic work. Therefore, this paper will (1) discuss the concept of background data; (2) take flood disaster as an example, comprehensively consider the rapid assessment indicators of disasters at home and abroad with the theme of disaster relief, and form an online calculation for supporting disaster relief resource matching and disaster relief intelligent network. Background data indicator system and its data collection index items; (3) Statistics and analysis of relevant background data sources of domestic open database and web page data, forming a list of background data sources for collecting data; (4) For example, in Santai County, Sichuan Province, based on the existing database source data items, combined with the MySQL database architecture, the background database design scheme in the disaster relief intelligent network is constructed to provide a data foundation for the online calculation of the disaster relief intelligent network. Keywords—Internet of Intelligences; background data; flood disaster 摘要—由地理空间信息扩散技术支持的救灾智联网在线计 算模块可以在灾害初期通过不完整的背景数据获得完整的灾 害数据,从而弥补灾情数据空白、支持精准救援。其中,随 着互联网时代的到来,背景数据的获取将实现从传统静态化 获取向以网络化灾情数据为主体的动态化获取转变,系统性 的背景数据统计是基础性工作。因此,本文将(1)讨论背景 数据的概念;(2)以洪涝灾害为例,综合考虑以救灾为主题 的国内外灾情快速评估指标,形成用于支持救灾资源匹配、 救灾智联网在线计算的背景数据指标体系及其数据采集指标 项;(3)对国内开放性数据库和网页数据等多途径的相关背 景数据源进行统计和分析,形成用于采集数据的背景数据源 列表;(4)以四川省三台县为例,以现有数据库源数据项为 根基,结合 MySQL 数据库体系结构,构建救灾智联网中背景 数据库设计方案,为救灾智联网的在线计算提供数据基础。 关键词—智联网,背景数据,洪涝灾害","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical Analysis of Background Data in Internet of Intelligences\",\"authors\":\"Wen Tian, Chongfu Huang\",\"doi\":\"10.2991/dramclr-19.2019.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The online computing module supported by geospatial information diffusion technology can obtain complete disaster data through incomplete background data in the early stage of disasters, thus making up the disaster data blank and supporting accurate rescue. Among them, with the advent of the Internet era, the acquisition of background data will realize the transition from traditional static acquisition to dynamic acquisition with networked disaster data as the main body. Systematic background data statistics is the basic work. Therefore, this paper will (1) discuss the concept of background data; (2) take flood disaster as an example, comprehensively consider the rapid assessment indicators of disasters at home and abroad with the theme of disaster relief, and form an online calculation for supporting disaster relief resource matching and disaster relief intelligent network. Background data indicator system and its data collection index items; (3) Statistics and analysis of relevant background data sources of domestic open database and web page data, forming a list of background data sources for collecting data; (4) For example, in Santai County, Sichuan Province, based on the existing database source data items, combined with the MySQL database architecture, the background database design scheme in the disaster relief intelligent network is constructed to provide a data foundation for the online calculation of the disaster relief intelligent network. Keywords—Internet of Intelligences; background data; flood disaster 摘要—由地理空间信息扩散技术支持的救灾智联网在线计 算模块可以在灾害初期通过不完整的背景数据获得完整的灾 害数据,从而弥补灾情数据空白、支持精准救援。其中,随 着互联网时代的到来,背景数据的获取将实现从传统静态化 获取向以网络化灾情数据为主体的动态化获取转变,系统性 的背景数据统计是基础性工作。因此,本文将(1)讨论背景 数据的概念;(2)以洪涝灾害为例,综合考虑以救灾为主题 的国内外灾情快速评估指标,形成用于支持救灾资源匹配、 救灾智联网在线计算的背景数据指标体系及其数据采集指标 项;(3)对国内开放性数据库和网页数据等多途径的相关背 景数据源进行统计和分析,形成用于采集数据的背景数据源 列表;(4)以四川省三台县为例,以现有数据库源数据项为 根基,结合 MySQL 数据库体系结构,构建救灾智联网中背景 数据库设计方案,为救灾智联网的在线计算提供数据基础。 关键词—智联网,背景数据,洪涝灾害\",\"PeriodicalId\":142201,\"journal\":{\"name\":\"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/dramclr-19.2019.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/dramclr-19.2019.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical Analysis of Background Data in Internet of Intelligences
The online computing module supported by geospatial information diffusion technology can obtain complete disaster data through incomplete background data in the early stage of disasters, thus making up the disaster data blank and supporting accurate rescue. Among them, with the advent of the Internet era, the acquisition of background data will realize the transition from traditional static acquisition to dynamic acquisition with networked disaster data as the main body. Systematic background data statistics is the basic work. Therefore, this paper will (1) discuss the concept of background data; (2) take flood disaster as an example, comprehensively consider the rapid assessment indicators of disasters at home and abroad with the theme of disaster relief, and form an online calculation for supporting disaster relief resource matching and disaster relief intelligent network. Background data indicator system and its data collection index items; (3) Statistics and analysis of relevant background data sources of domestic open database and web page data, forming a list of background data sources for collecting data; (4) For example, in Santai County, Sichuan Province, based on the existing database source data items, combined with the MySQL database architecture, the background database design scheme in the disaster relief intelligent network is constructed to provide a data foundation for the online calculation of the disaster relief intelligent network. Keywords—Internet of Intelligences; background data; flood disaster 摘要—由地理空间信息扩散技术支持的救灾智联网在线计 算模块可以在灾害初期通过不完整的背景数据获得完整的灾 害数据,从而弥补灾情数据空白、支持精准救援。其中,随 着互联网时代的到来,背景数据的获取将实现从传统静态化 获取向以网络化灾情数据为主体的动态化获取转变,系统性 的背景数据统计是基础性工作。因此,本文将(1)讨论背景 数据的概念;(2)以洪涝灾害为例,综合考虑以救灾为主题 的国内外灾情快速评估指标,形成用于支持救灾资源匹配、 救灾智联网在线计算的背景数据指标体系及其数据采集指标 项;(3)对国内开放性数据库和网页数据等多途径的相关背 景数据源进行统计和分析,形成用于采集数据的背景数据源 列表;(4)以四川省三台县为例,以现有数据库源数据项为 根基,结合 MySQL 数据库体系结构,构建救灾智联网中背景 数据库设计方案,为救灾智联网的在线计算提供数据基础。 关键词—智联网,背景数据,洪涝灾害