| id |
sigradi2023_91 |
| authors |
Mariano, Pedro Oscar Pizzetti, Silva, Felipe Bruno Lima de, Sônego, Yasmin Silva Sônego, Vaz, Carlos Eduardo Verzola and Cuperschmid, Ana Regina Mizrahy |
| year |
2023 |
| title |
A Low-cost Sensor for Slope and Risk Areas Monitoring: Using a Digital Twin for Landslide Prevention |
| source |
García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1443–1454 |
| summary |
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. |
| keywords |
Sensors, Digital twin, Parametric modeling, Landslide monitoring, Disaster mitigation |
| series |
SIGraDi |
| email |
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| full text |
 file.pdf (689,811 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/03/08 14:08 |
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