Carina Cai, Bryan Carter, M. Srivastava, Joseph Tsung, John Vahedi-Faridi, Caroline Wiley
{"title":"无人机辐射传感系统设计","authors":"Carina Cai, Bryan Carter, M. Srivastava, Joseph Tsung, John Vahedi-Faridi, Caroline Wiley","doi":"10.1109/SIEDS.2016.7489292","DOIUrl":null,"url":null,"abstract":"Gathering radiation information in the event of a nuclear disaster is limited by the vulnerability of static sensor networks and the safety of human data collectors. A remotely controlled drone that can combine locational and radiological data gives emergency responders a safe and efficient alternative in the event of damaged or destroyed static sensor networks. The goal of this project is to develop a prototype radiation detection and mapping unmanned aerial vehicle system to safely identify irradiated areas in the event of a nuclear emergency. The UAV platform for this project is the EDF-8, a small ducted-fan UAV, developed by AVID LLC. Our team is responsible for developing the hardware necessary to integrate the radiation sensor into the EDF-8 platform. The main tasks in this project include programming microcontrollers to communicate with the radiation sensor as well as EDF-8's on board communication protocols, building housings for both the sensor and circuit boards, building simulation programs for testing, and the manipulation of collected data for presentation in a GIS software program. Upon project completion, AVID will have a prototype system for adapting EDF-8 into a radiological detection system for commercial or governmental use.","PeriodicalId":426864,"journal":{"name":"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Designing a radiation sensing UAV system\",\"authors\":\"Carina Cai, Bryan Carter, M. Srivastava, Joseph Tsung, John Vahedi-Faridi, Caroline Wiley\",\"doi\":\"10.1109/SIEDS.2016.7489292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gathering radiation information in the event of a nuclear disaster is limited by the vulnerability of static sensor networks and the safety of human data collectors. A remotely controlled drone that can combine locational and radiological data gives emergency responders a safe and efficient alternative in the event of damaged or destroyed static sensor networks. The goal of this project is to develop a prototype radiation detection and mapping unmanned aerial vehicle system to safely identify irradiated areas in the event of a nuclear emergency. The UAV platform for this project is the EDF-8, a small ducted-fan UAV, developed by AVID LLC. Our team is responsible for developing the hardware necessary to integrate the radiation sensor into the EDF-8 platform. The main tasks in this project include programming microcontrollers to communicate with the radiation sensor as well as EDF-8's on board communication protocols, building housings for both the sensor and circuit boards, building simulation programs for testing, and the manipulation of collected data for presentation in a GIS software program. Upon project completion, AVID will have a prototype system for adapting EDF-8 into a radiological detection system for commercial or governmental use.\",\"PeriodicalId\":426864,\"journal\":{\"name\":\"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIEDS.2016.7489292\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS.2016.7489292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gathering radiation information in the event of a nuclear disaster is limited by the vulnerability of static sensor networks and the safety of human data collectors. A remotely controlled drone that can combine locational and radiological data gives emergency responders a safe and efficient alternative in the event of damaged or destroyed static sensor networks. The goal of this project is to develop a prototype radiation detection and mapping unmanned aerial vehicle system to safely identify irradiated areas in the event of a nuclear emergency. The UAV platform for this project is the EDF-8, a small ducted-fan UAV, developed by AVID LLC. Our team is responsible for developing the hardware necessary to integrate the radiation sensor into the EDF-8 platform. The main tasks in this project include programming microcontrollers to communicate with the radiation sensor as well as EDF-8's on board communication protocols, building housings for both the sensor and circuit boards, building simulation programs for testing, and the manipulation of collected data for presentation in a GIS software program. Upon project completion, AVID will have a prototype system for adapting EDF-8 into a radiological detection system for commercial or governmental use.