Document Type : علمی - پژوهشی
Authors
1 Assistant Professor, Department of Remote Sensing and Geographic Information System, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Unit
2 PhD Student in Remote Sensing and Geographic Information System, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran
3 Department of GIS, Geodesy and Geomatics Engineering Faculty, K. N. Toosi University of Technology
4 Assistant Professor, Department of Civil Engineering, Water and Environmental Engineering, Shahid Beheshti University, Tehran
Abstract
Intelligent emergency response during crises refers to the effort to improve the performance of emergency response units. This type of assistance is created using modern technologies, especially the Internet of Things, to enhance service quality, reduce costs, and increase supervision over the emergency response process. In a new approach to intelligent emergency response, IoT-based routing models are used. These models optimize the emergency response route through the communication between objects and the collection of spatial data, improving the user experience. In this study, a spatial data infrastructure is designed to integrate the system and improve emergency response. The designed portal displays the optimal route from the incident location to the medical center on a map using the desired service and transfers sensor information (such as heart rate, blood oxygen level, blood pressure, thermometer, glucose meter, electroencephalography, and pulmonary function) to the doctor's mobile phone in the ambulance via Bluetooth and shares this information on the portal. Medical centers also determine their priority using an online hierarchical weighting model. In this system, real-time health information of the injured is received through the submission and confirmation from medical centers, and based on this information, the appropriate location for treatment and transfer of the injured person is determined. In a test conducted for this model, an injured person in Tehran Zone 5 on 4/24/1400 at 12:00 noon was accepted. The emergency team arrived at the scene in less than 8 minutes and, after providing initial assistance, sent the real-time health status of the patient to the surrounding medical centers, receiving a confirmation from Omid hospital in the same area, and transferred the injured person to the hospital in 5 minutes via the optimal route. In contrast, in the traditional system, due to the lack of simultaneous use of IoT and spatial data infrastructure, suitable routing algorithms and weighting models, the emergency response process becomes time-consuming, and medical centers are not informed of real-time health information of the injured. Consequently, this research improves the performance of the emergency response system and addresses some of the issues in the traditional system, such as delays in dispatching emergency personnel and patient non-acceptance. Overall, the use of intelligent emergency response methods reduces human, financial, and time costs, provides quicker and better responses to different crises, and allows emergency organizations to make more intelligent decisions regarding resource distribution and human resource allocation using the data collected by geographic information systems and the Internet of Things.
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