Associate Professor Tomoyuki Ishida (Ishida Laboratory), Department of Information and Communication Engineering, Fukuoka Institute of Technology, has developed a new system that digitally streamlines evacuation shelter operations using a small computer terminal "BLE Beacon".

 When the Great East Japan Earthquake struck 10 years ago, more than 1 evacuation shelters were set up within a week of the outbreak, and the human resources of local governments and volunteers were limited, making it difficult to operate the evacuation shelters.Furthermore, as the infection of the new coronavirus continues to spread, new issues have arisen, such as the need to drastically review the capacity of evacuation shelters and disperse evacuation in the event of a future disaster.

 In order to solve these problems, Ishida Laboratory has developed a small computer terminal "BLE Beacon" to send and receive information such as the number, gender, and address of people entering and exiting the evacuation center without touch. , Aggregation system.

 When you register your information in the app in normal times and go to an evacuation center in the event of a disaster, if you enter within a radius of 10m of the "BLE Beacon", the Beacon will automatically exchange messages with the victims and record their entry and exit. "The number of people currently in the shelter" can be aggregated in real time.The information registered in the beacon is collected on the management screen of the local government and becomes a material for judging the distribution of supplies.In addition, even when a private facility is temporarily used as an evacuation center, it is possible to grasp information if there is a beacon and a system.If you register the next destination when you leave, you can eliminate the omission of support after that.

 In addition, AI analyzes how the local government has responded to past disasters with this system.Looking back on past disasters of the same scale, it automatically determines the optimal allocation of supplies and personnel for the municipality or shelter.As a result, it is possible to promptly allocate supplies and personnel in just proportion, and to provide disaster relief promptly.If the past disaster response data in each local government can be shared as learning material for AI, more precise prediction will be possible.

Reference: [PR TIMES] Developed a new system to digitally streamline evacuation shelter operations

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