{"title":"基于位置的早期灾害预警和疏散系统在手机上使用OpenStreetMap","authors":"Khondaker M. Rahman, T. Alam, M. Chowdhury","doi":"10.1109/ICOS.2012.6417627","DOIUrl":null,"url":null,"abstract":"Natural Disasters have threatened mankind since history started. Due to geographic position and climate change, Bangladesh is one of most vulnerable countries to natural disasters. The country also lacks effective disaster preparedness system to confront natural disasters. Timely disaster warning and evacuation guideline can save lives of the people. In addition, a tourist or a blind people may face difficulties in finding safe area or shelter place prior to the occurrence of natural disasters. For this reason, we have proposed a location based early disaster warning and evacuation system for both normal and blind people using OpenStreetMap (OSM). The system is implemented on android mobile phone because of the burgeoning growth of smart phones in Bangladesh. So, our system comprises a third-party server named Disaster Management Server (DMS), android device with our application installed on it and user. The local weather office updates the disaster (tsunami, cyclone or flood) data on DMS. Device user registers on Android Cloud to Device Messaging (C2DM) server to get automatic notification of upcoming disaster otherwise user gets manual notification. The user communicates with DMS to have updated data sending the current position obtained by GPS or network provider. The probable disaster affected area is determined by ray casting algorithm. When our application recognizes the user in probable disaster zone then application will disseminate visual and audio disaster warning and evacuation guideline including shortest path of shelter or safe zone on the map of the application. Evacuation progress is also tracked using DMS and national identification of user. The experimental result demonstrates the effectiveness of our system.","PeriodicalId":319770,"journal":{"name":"2012 IEEE Conference on Open Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"Location based early disaster warning and evacuation system on mobile phones using OpenStreetMap\",\"authors\":\"Khondaker M. Rahman, T. Alam, M. Chowdhury\",\"doi\":\"10.1109/ICOS.2012.6417627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Natural Disasters have threatened mankind since history started. Due to geographic position and climate change, Bangladesh is one of most vulnerable countries to natural disasters. The country also lacks effective disaster preparedness system to confront natural disasters. Timely disaster warning and evacuation guideline can save lives of the people. In addition, a tourist or a blind people may face difficulties in finding safe area or shelter place prior to the occurrence of natural disasters. For this reason, we have proposed a location based early disaster warning and evacuation system for both normal and blind people using OpenStreetMap (OSM). The system is implemented on android mobile phone because of the burgeoning growth of smart phones in Bangladesh. So, our system comprises a third-party server named Disaster Management Server (DMS), android device with our application installed on it and user. The local weather office updates the disaster (tsunami, cyclone or flood) data on DMS. Device user registers on Android Cloud to Device Messaging (C2DM) server to get automatic notification of upcoming disaster otherwise user gets manual notification. The user communicates with DMS to have updated data sending the current position obtained by GPS or network provider. 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引用次数: 50
摘要
自古以来,自然灾害就一直威胁着人类。由于地理位置和气候变化,孟加拉国是最容易遭受自然灾害的国家之一。国家也缺乏有效的备灾系统来应对自然灾害。及时的灾害预警和疏散指引可以挽救人们的生命。此外,在自然灾害发生之前,游客或盲人可能面临寻找安全区域或避难所的困难。为此,我们利用OpenStreetMap (OSM)为正常人和盲人提出了一个基于位置的早期灾害预警和疏散系统。由于孟加拉国智能手机的迅速增长,该系统在android手机上实现。因此,我们的系统包括一个名为灾难管理服务器(DMS)的第三方服务器,安装了我们的应用程序的android设备和用户。当地气象局更新DMS上的灾害(海啸、气旋或洪水)数据。设备用户在Android Cloud to Device Messaging (C2DM)服务器上注册,以获得即将到来的灾难的自动通知,否则用户将获得手动通知。用户与DMS通信以获得更新的数据,发送由GPS或网络提供商获得的当前位置。通过光线投射算法确定可能的受灾区域。当我们的应用程序识别到可能的灾区的用户,然后应用程序将传播视觉和音频的灾难警报和疏散指南,包括在应用程序的地图上的庇护所或安全区的最短路径。还使用DMS和用户的国家身份来跟踪撤离进度。实验结果证明了系统的有效性。
Location based early disaster warning and evacuation system on mobile phones using OpenStreetMap
Natural Disasters have threatened mankind since history started. Due to geographic position and climate change, Bangladesh is one of most vulnerable countries to natural disasters. The country also lacks effective disaster preparedness system to confront natural disasters. Timely disaster warning and evacuation guideline can save lives of the people. In addition, a tourist or a blind people may face difficulties in finding safe area or shelter place prior to the occurrence of natural disasters. For this reason, we have proposed a location based early disaster warning and evacuation system for both normal and blind people using OpenStreetMap (OSM). The system is implemented on android mobile phone because of the burgeoning growth of smart phones in Bangladesh. So, our system comprises a third-party server named Disaster Management Server (DMS), android device with our application installed on it and user. The local weather office updates the disaster (tsunami, cyclone or flood) data on DMS. Device user registers on Android Cloud to Device Messaging (C2DM) server to get automatic notification of upcoming disaster otherwise user gets manual notification. The user communicates with DMS to have updated data sending the current position obtained by GPS or network provider. The probable disaster affected area is determined by ray casting algorithm. When our application recognizes the user in probable disaster zone then application will disseminate visual and audio disaster warning and evacuation guideline including shortest path of shelter or safe zone on the map of the application. Evacuation progress is also tracked using DMS and national identification of user. The experimental result demonstrates the effectiveness of our system.