Transmission Tower Tilt Monitoring System Using Low-Power Wide-Area Network Technology

2021 ◽  
Vol 21 (2) ◽  
pp. 1100-1107 ◽  
Author(s):  
Xihai Zhang ◽  
Yan Zhao ◽  
Lin Zhou ◽  
Jian Zhao ◽  
Wenbin Dong ◽  
...  
Author(s):  
Guillermo del Campo ◽  
Igor Gomez ◽  
Guillermo Cañada ◽  
Luca Piovano ◽  
Asuncion Santamaria

2019 ◽  
Vol 6 (1) ◽  
pp. 590-598 ◽  
Author(s):  
Xihai Zhang ◽  
Mingming Zhang ◽  
Fanfeng Meng ◽  
Yue Qiao ◽  
Suijia Xu ◽  
...  

2021 ◽  
Author(s):  
Aulia Dharma Putra ◽  
Hikaru Toda ◽  
Achmad Hafidz ◽  
Kouji Matsuba ◽  
Yuuichi Kimikado ◽  
...  

Abstract A simple monitoring method for observing slope movement and deformation can be performed with tilt sensors. A more efficient monitoring method, using a type of wireless communication called LPWA (Low Power Wide Area) network technology, has also recently become available. In the present study, a monitoring system was developed that combines tilt sensors and LPWA network technology for measuring the movement of slopes and sending the information through wireless communication. Firstly, radio wave propagation experiments were conducted to find the proper location for the gateway device of the monitoring system. Then, in March 2018, the developed system that consists of tilt and water-level sensors and the wireless communication of LPWA was installed at an observation site. Since the installation, the data from the tilt sensors have been successfully collected through LPWA, and a slope failure was unexpectedly observed at the observation site during the Heavy Rain Event of July 2018, which caused severe disasters, particularly from western Japan to the Tokai region. Using the data from the tilt sensors, the rainfall data, and the groundwater level, the slope failure was analysed. A site investigation was conducted, and the shear strength parameter was examined using back analysis method. In conclusion, the developed system using sensors and LPWA has continued to efficiently monitor the movement of the targeted slope, but the collection of additional data will be required to increase the reliability of the system.


2020 ◽  
Vol 10 (2) ◽  
pp. 15 ◽  
Author(s):  
Mattia Ragnoli ◽  
Gianluca Barile ◽  
Alfiero Leoni ◽  
Giuseppe Ferri ◽  
Vincenzo Stornelli

The development of Internet of Things (IoT) systems is a rapidly evolving scenario, thanks also to newly available low-power wide area network (LPWAN) technologies that are utilized for environmental monitoring purposes and to prevent potentially dangerous situations with smaller and less expensive physical structures. This paper presents the design, implementation and test results of a flood-monitoring system based on LoRa technology, tested in a real-world scenario. The entire system is designed in a modular perspective, in order to have the capability to interface different types of sensors without the need for making significant hardware changes to the proposed node architecture. The information is stored through a device equipped with sensors and a microcontroller, connected to a LoRa wireless module for sending data, which are then processed and stored through a web structure where the alarm function is implemented in case of flooding.


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