Indoor Localization for Evacuation Management in Emergency Scenarios

In the context of building evacuation, for instance in case of fire or other emergency situations, the immediate identification of the evacuation path is of vital importance. Panic, lack of knowledge of the building, poor emergency signaling, obstructed evacuation paths are the common causes of inefficient evacuation, with possible tremendous consequences. The paper presents a comprehensive system for the efficient management and monitoring of workers' evacuation in the context of factories and office buildings. The system is composed of a central monitoring unit and a user app running on a mobile device. The monitoring unit acquires alert information (fire, smoke, etc.) from connected sensors deployed in the environment and communicates the position of such obstacles to the user app via the Wi-Fi network. Two versions of the user app have been designed, the former devoted to workers, the latter to rescuers. The worker app implements the indoor localization through received signal strength indication (RSSI) of purposely-deployed beacons and computes the best evacuation path planning, exploiting obstacle information from the central unit as well. Moreover, it communicates the worker's position to the central monitoring unit; in this way, a global real-time overview of the evacuation progress of all workers can be obtained and critical situations, such as trapped workers, can be promptly identified, thus guaranteeing more efficient rescue operations. The rescuer app supports rescuers to reach emergency sources and workers in trouble and to coordinate emergency operations. Despite the development of the proposed solution is still in progress, preliminary tests have demonstrated the effectiveness and usefulness of such an approach.

[1]  Robert Harle,et al.  Location Fingerprinting With Bluetooth Low Energy Beacons , 2015, IEEE Journal on Selected Areas in Communications.

[2]  Jussi Parkkinen,et al.  Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system , 2017 .

[3]  Lien-Wu Chen,et al.  Mobility-Aware and Congestion-Relieved Dedicated Path Planning for Group-Based Emergency Guiding Based on Internet of Things Technologies , 2017, IEEE Transactions on Intelligent Transportation Systems.

[4]  Emiliano Sisinni,et al.  Design and implementation of a wireless sensor network for temperature sensing in hostile environments , 2016 .

[5]  Miguel Delgado Prieto,et al.  Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission , 2016, IEEE Transactions on Instrumentation and Measurement.

[6]  Pierfrancesco Bellini,et al.  Maintenance and emergency management with an integrated indoor/outdoor navigation support , 2014, J. Vis. Lang. Comput..

[7]  Tomoichi Takahashi,et al.  Evacuation Guidance System Using Everyday Use Smartphones , 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

[8]  Richard Han,et al.  RescueMe: An Indoor Mobile Augmented-Reality Evacuation System by Personalized Pedometry , 2011, 2011 IEEE Asia-Pacific Services Computing Conference.

[9]  Yu-Chee Tseng,et al.  Optimal Path Planning With Spatial-Temporal Mobility Modeling for Individual-Based Emergency Guiding , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[10]  Paolo Bellavista,et al.  Proximity discovery and data dissemination for mobile crowd sensing using LTE direct , 2017, Comput. Networks.

[11]  Sarah Sharples,et al.  A novel spatiotemporal home heating controller design: System emulation and field testing , 2018 .

[12]  Emiliano Sisinni,et al.  Virtual Respiratory Rate Sensors: An Example of A Smartphone-Based Integrated and Multiparametric mHealth Gateway , 2017, IEEE Transactions on Instrumentation and Measurement.

[13]  Gerhard Fischer,et al.  Revisiting and Broadening the Meta-Design Framework for End-User Development , 2017, New Perspectives in End-User Development.

[14]  Lien-Wu Chen,et al.  GoFAST: A Group-Based Emergency Guiding System with Dedicated Path Planning for Mobile Users Using Smartphones , 2015, 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems.

[15]  John Millar Carroll,et al.  Emergency Management Planning as Collaborative Community Work , 2008, Journal of Homeland Security and Emergency Management.

[16]  Koichi Kurumatani,et al.  Indoor Emergency Evacuation Service on Autonomous Navigation System using Mobile Phone , 2008, 2008 Second International Symposium on Universal Communication.

[17]  Daniela Fogli,et al.  Knowledge-centered design of decision support systems for emergency management , 2013, Decis. Support Syst..

[18]  Guglielmo Frigo,et al.  Dead Reckoning in Structured Environments for Human Indoor Navigation , 2017, IEEE Sensors Journal.

[19]  Yeng Chai Soh,et al.  Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM , 2017, IEEE Transactions on Industrial Informatics.

[20]  A. Flammini,et al.  Smartphone based localization solution for construction site management , 2013, 2013 IEEE Sensors Applications Symposium Proceedings.

[21]  Daniela Fogli,et al.  Design patterns for emergency management: An exercise in reflective practice , 2017, Inf. Manag..