Regional Disaster Prevention Information Platform

Solution Overview

Given the increasing frequency and severity of disasters in recent times, close collaboration between local governments and private enterprises is essential to ensure regional disaster preparedness. The "Regional Disaster Prevention Information Platform" uses digital transformation (DX) for interaction between local governments and private enterprises that have concluded "disaster support agreements", which include the provision of supplies, emergency transportation, and the provision of temporary accommodation facilities, thereby supporting the efficiency of recovery and reconstruction operations during a disaster.

River Inundation Simulation

Solution Overview

By utilizing the "Rainfall-Runoff-Inundation (RRI) model" high-speed algorithm, jointly developed by Mitsui Consultants Co., Ltd. and the Disaster Prevention Research Institute of Kyoto University, the impact on rivers and other waterways during heavy rain is calculated in real-time, providing web-based simulation information on river inundation several hours in advance.

Optical Fiber Sensing

Solution Overview

The sensor device automatically detects vibrations and other disturbances in the optical fibers used for communication, enabling real-time remote assessment of anomalies in infrastructure such as roads, river embankments, and power lines, as well as disaster-affected areas.

Flood and Landslide Simulation

Solution Overview

Based on the weather, terrain, and river data, simulations are conducted to predict flooded areas, maximum flood heights, etc. Simulations can be performed hourly up to 7 days in advance.

Press Release

Real-Time Tsunami Inundation and Damage Estimation System

Solution Overview

This system performs fault estimation, tsunami analysis and damage estimation, visualization, and distribution within as little as 20 minutes after an earthquake occurs. It contributes to efficient and appropriate disaster response and victim relief efforts based on these estimation results.

High-Functionality Tsunami Tower

Solution Overview

By installing tsunami observation lidar on tsunami towers (temporary evacuation facilities) constructed along the coastline, the early detection of tsunami is possible. Additionally, building damage can be detected using optical fiber sensing. In the event of anomaly detection at the tsunami tower, the prompt sharing of information with the disaster response headquarters enables swift decision-making.

Forest Fire Detection Solution

Solution Overview

This solution detects heat sources that are not visible to fixed visible-light cameras, using infrared cameras and drones, thus hastening the suppression of large-scale fires. This streamlines deployment orders for firefighting units and enables activity management via tablets.

Disaster Prevention Information System

Solution Overview

To facilitate disaster response by local governments (prefectures, cities, towns, and villages), this system collects information on weather, observations, damage, and other relevant aspects to swiftly assess the situation and facilitate precise emergency measures and critical decision-making and supports swift decision and response at the disaster response headquarters. In addition to the information input manually by field staff, incorporating external dynamic data enables an advanced disaster response.

Foot Traffic Analysis (Crowd Behavior Analysis) Solution

Solution Overview

Using image analysis, this solution can analyze gatherings of people as crowds, visualize congestion situations, estimate foot traffic, and detect abnormal crowd behavior. By predicting how crowds behave during disasters and estimating the number of people unable to return to their homes, you can implement appropriate evacuation guidance and rescue operations. By using the gathered information in guidance by security personnel and presenting the information to users through smart devices, digital signage, etc., the optimization of movement is also possible.

Damage Assessment Using Image Analysis and LLM

Solution Overview

Through the use of a large-scale language model (LLM) and image analysis, the solution can promptly and accurately assess disasters statuses and locations from extensive disaster location image data gathered upon the occurrence of a disaster. This supports swift and crucial decision-making by the disaster response headquarters of the relevant ministries and local authorities during initial responses. The solution enables the monitoring of "towns" not only during disasters but also on a day-to-day basis, thus realizing phase-free usage.

Press Release

Infrastructure Monitoring Service with Satellite SAR

Solution Overview

Using SAR technology, which generates ground images using radar mounted on satellites, this service enables wide-area disaster monitoring, the measurement of lifeline ground changes, the assessment of wind and flood damage, environmental pollution monitoring, and more.

Earthquake Phenomena Observation System (EPOS)
Anomaly detection and prediction

Solution Overview

Analyzing earthquake and tsunami data, as well as crustal changes, the system efficiently disseminates disaster prevention Analyzing “real-time” earthquake information to the public via national ministries, local governments, and news organizations^*4.

*4. Now in its sixth generation, NEC has developed the system since its second iteration.

Volcanic Observations Information System in Japan

Solution Overview

VOIS processes observation data transmitted from various observation equipment installed at volcanoes across the country in real time and monitors volcanic activity always-on. In the event of increased volcanic activity, it immediately issues eruption risks, warnings, explanatory information, etc., to support appropriate disaster prevention activities by disaster prevention organizations of local governments and other organizations.