Development and applications of slope and river monitoring system using low-power wide-area network technology

Hafidz, Achmad; Kinoshita, Naoki; Yasuhara, Hideaki; Tsuzuki, Seiji

doi:10.1007/s13349-022-00620-1

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…In [ 111 ], the development of slope and river monitoring systems employing three types of LPWANs was reported. In particular, the installation included a total of 18 tilt sensors, 6 extensometers, an ultrasonic river water depth sensor, and a temperature and humidity sensor to carry out monitoring at selected observation sites in Japan (Nakayama, Aruse, Namikata, and Matsuyama).…”

Section: Rockfall and Landslide Monitoring Based On Wsnsmentioning

confidence: 99%

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Ragnoli,

Scarsella,

Leoni

et al. 2023

Sensors

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Rockfalls and landslide events are caused by different factors among which are included geomorphological and climatic factors and also human interaction. Therefore, the economic and social impacts can be significant and the remote monitoring of such hazards has become an essential topic in various applications. Wireless sensor networks (WSNs) are well suited for the deployment of monitoring systems, benefiting from the different technologies and topologies that are available and evolving nowadays. This review paper aims to summarize and overview the up-to-date state of the art of rockfall and landslide monitoring systems based on WSNs. The implementation and methods were analyzed for each solution, along with the system architecture and relevant hardware aspects. All the retrieved data were used to analyze the current trends and future possibilities in the field of WSN geohazard monitoring.

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Section: Rockfall and Landslide Monitoring Based On Wsnsmentioning

confidence: 99%

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Ragnoli,

Scarsella,

Leoni

et al. 2023

Sensors

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Internet of things (IoT)-based structural health monitoring of laboratory-scale civil engineering structures

Saravanan,

Mishra,

Aherwar

et al. 2024

Innov. Infrastruct. Solut.

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Rapid advances in the Internet of Things (IoT) domain have made it a crucial technology for the real-time structural health monitoring (SHM) of civil engineering infrastructures. The availability of quick and accurate vibration data is essential for SHM, and such data can be obtained through IoT devices mounted on the structures. This study proposes a real-time damage prediction and localization approach using a low-cost "do-it-yourself" wireless sensor node with IoT capabilities for SHM. The proposed sensor node comprised a microcontroller (NODE MCU ESP8266) and a 6-axis accelerometer (MPU6050). The IoT devices track the real-time frequency of the laboratory-scale structure indirectly via measurement of acceleration-time history, and their results are compared with conventional industry-standard accelerometers. Promising results, with a <6% average difference from the conventional accelerometer (difference ranging from 1.3 to 14.3%), provided an innovative SHM for vibration-based real-time SHM using the IoT paradigm. The performance of the proposed methodology was validated numerically and experimentally on two laboratory-scale structures, and the potential of IoT technology for enhancing the efficiency of SHM was demonstrated. The proposed method thus can enable the early detection of damages in infrastructures such as buildings and bridges and thus can reduce the likelihood of accidents via continuous SHM.

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Rockfall Monitoring Using Multi-Technological Wireless Sensor Network

Stomelli¹,

Ragnoli

Esposito

et al. 2023

2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

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Development and applications of slope and river monitoring system using low-power wide-area network technology

Cited by 3 publications

References 27 publications

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

Internet of things (IoT)-based structural health monitoring of laboratory-scale civil engineering structures

Rockfall Monitoring Using Multi-Technological Wireless Sensor Network

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