A Low-cost Sensor for Slope and Risk Areas Monitoring: Using a Digital Twin for Landslide Prevention

A Low-cost Sensor for Slope and Risk Areas Monitoring: Using a Digital Twin for Landslide Prevention

Mariano, Pedro Oscar Pizzetti; Silva, Felipe Bruno Lima de; Sônego, Yasmin Silva Sônego; Vaz, Carlos Eduardo Verzola; Cuperschmid, Ana Regina Mizrahy

Full Article:

The objective of this research is to create a prototype of a low-cost remote sensing system for capturing data in slope areas at risk of landslides or movement to monitor and prevent disasters caused by landslides and enable remote monitoring in informal settlements. Therefore, the collected data can be used as a management tool by the government and citizens, also through a prototype of a digital twin. For the development, the following steps were considered: (1) data collection on the digital twins, software, and hardware needed to build the device; (2) sensor development through open-source electronic platforms; and (3) conducting tests to identify sensor improvements and programs. Through the sensor prototype, it became possible to collect landslide data on-site, thus revealing a direct alignment between real-world observations and the data collected by the sensor.

The objective of this research is to create a prototype of a low-cost remote sensing system for capturing data in slope areas at risk of landslides or movement to monitor and prevent disasters caused by landslides and enable remote monitoring in informal settlements. Therefore, the collected data can be used as a management tool by the government and citizens, also through a prototype of a digital twin. For the development, the following steps were considered: (1) data collection on the digital twins, software, and hardware needed to build the device; (2) sensor development through open-source electronic platforms; and (3) conducting tests to identify sensor improvements and programs. Through the sensor prototype, it became possible to collect landslide data on-site, thus revealing a direct alignment between real-world observations and the data collected by the sensor.

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DOI: 10.5151/sigradi2023-91

Referências bibliográficas

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Como citar:

Mariano, Pedro Oscar Pizzetti; Silva, Felipe Bruno Lima de; Sônego, Yasmin Silva Sônego; Vaz, Carlos Eduardo Verzola; Cuperschmid, Ana Regina Mizrahy; "A Low-cost Sensor for Slope and Risk Areas Monitoring: Using a Digital Twin for Landslide Prevention", p-1428-1439. In: . São Paulo: Blucher, 2024.
ISSN 23186968, DOI 10.5151/sigradi2023-91