Monitoring Technology

Increasingly severe weather-related disasters,
The inevitable evolution of monitoring technology

Recent weather data and disaster statistics clearly indicate that conventional disaster prevention measures are at a turning point.

The intensity of rainfall patterns is accelerating.
According to data from the Japan Meteorological Agency, the number of days with daily rainfall of 200 mm or more and the number of occurrences of hourly rainfall of 50 mm or more have increased significantly at AMeDAS (Automated Meteorological Data Acquisition System) stations nationwide. In particular, the annual number of occurrences of hourly rainfall of 50 mm or more has recorded a rapid trend of increasing by 28.2 times per decade, and it is predicted that by the end of the 21st century, it will occur at more than double the current frequency.
Evidence for the increasing risk of landslides
The number of landslides has increased by approximately 1.2 times in the last 10 years (1,446 cases/year, 57-4) compared to the long-term average (1,099 cases/year, 25-4). This statistical surge in risk suggests the limitations of conventional countermeasures.
Shifting to "software measures" through IoT/DX
To complement the existing "hard measures" based on structures, "soft measures" such as "fully automated, real-time monitoring" are now essential. This shift from "manual or semi-automatic monitoring" on-site to "continuous monitoring" utilizing mobile phone networks will create a crucial "grace period" for making evacuation decisions during disasters.

The situation of the landslide that blocked the road.

Situation of damage to houses caused by landslides

An innovation in "direct monitoring" that detects danger as quickly as possible and saves lives.

From "indirect monitoring" based on rainfall to "direct monitoring" that captures ground movement.

In response to increasingly severe landslides, what is needed now is not just an indicator of "how much rain has fallen," but a technology that can grasp "how slopes are actually moving" in real time. Chuo Kaihatsu Co., Ltd.'s disaster prevention technology, centered on "Kantarou F-Alert," which boasts a track record of over 1,700 installations, is a "direct monitoring" solution for predicting slope collapse. As a comprehensive construction consultant, we support the earliest possible evacuation decisions and are implementing the latest IoT and DX technologies into society to realize "attractive urban development aimed at disaster prevention and mitigation."

From indirect slope monitoring based on precipitation to direct slope monitoring based on slope deformation.

Pickup

Remote automatic monitoring system "Observation King"

Observation King is a system that uses mobile phone networks to automatically transmit data (at standard 10-minute intervals) from various measuring instruments on-site, graphs it on our servers, and distributes it via the internet.

Tilt sensor "Kantarou F-Alert"

Kantaro F-Alert is a tilt sensor that detects early signs of landslides.
Like J-Alert, it provides a system that allows anyone to intuitively detect and act upon danger, setting a new global standard for slope monitoring.

IoT multi-stage inclinometer “Kta”

This is a simple, multi-stage in-situ tiltmeter that detects underground slope changes using tilt sensors installed in multiple stages. When combined with "Okanso-o" (Observation King), it enables rapid information provision regarding slope disasters.

IoT vibration sensor "Shinsuke"

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Increasingly severe weather-related disasters,The inevitable evolution of monitoring technology