A.J. Soto-Vergel , D. Ramirez-Rios , J.C. Velez , R. Amaya-Mier
{"title":"An Industry 4.0 geolocation system for last mile ground disasters survivor detection: Tests and results","authors":"A.J. Soto-Vergel , D. Ramirez-Rios , J.C. Velez , R. Amaya-Mier","doi":"10.1016/j.seps.2025.102270","DOIUrl":null,"url":null,"abstract":"<div><div>This research introduces a novel geolocation system for survivor detection after disasters, based on the Ground Disaster Information Management System (GDIMS) guidelines. Our geolocation system is a rapid deployment, low-power, and wide-area network solution that uses tiny machine-learning-based voice activity detection to obtain timely information in challenging disaster-struck environments. The system is designed to signal survivor existence on an interactive map and further guide search and rescue efforts during the aftermath of a disaster. The impact and relevance of this technology lie in its ability to continuously monitor disasters despite disruptions from remote, steep, and/or debris disaster surroundings, nontrivial locations of possible victims, and failed transportation and communication infrastructure. This research draws from lessons learned from past events, such as the 2017 and 2010 landslides in Mocoa and Gramalote, Colombia. Results from numerical tests conducted in Gramalote, Colombia, show the technological maturity of the system and its capabilities for possible real-world implementation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102270"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125001193","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This research introduces a novel geolocation system for survivor detection after disasters, based on the Ground Disaster Information Management System (GDIMS) guidelines. Our geolocation system is a rapid deployment, low-power, and wide-area network solution that uses tiny machine-learning-based voice activity detection to obtain timely information in challenging disaster-struck environments. The system is designed to signal survivor existence on an interactive map and further guide search and rescue efforts during the aftermath of a disaster. The impact and relevance of this technology lie in its ability to continuously monitor disasters despite disruptions from remote, steep, and/or debris disaster surroundings, nontrivial locations of possible victims, and failed transportation and communication infrastructure. This research draws from lessons learned from past events, such as the 2017 and 2010 landslides in Mocoa and Gramalote, Colombia. Results from numerical tests conducted in Gramalote, Colombia, show the technological maturity of the system and its capabilities for possible real-world implementation.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.