Wireless Technology for Monitoring Site-specific Landslide in Vietnam

Climate change has caused an increasing number of landslides, especially in the mountainous provinces of Vietnam, resulting in the destruction of vital transport and other infrastructure. Current monitoring and forecasting systems of the meteorology department cannot deliver accurate and reliable forecasts for weather events and issue timely warnings. This paper describes the development of a simple, low cost, and efficient system for monitoring and warning landslide in real-time. The authors focus on the use of wireless and related technologies in the implementation of a technical solution and some of the problems of the wireless sensor network (WSN) related to power consumption. Promising compressed sensing (CS) based solution for landslide monitoring is discussed and evaluated in the paper

Survey of Landslide Warning Systems and their Applicability in Mauritius

Landslide is major problem in several countries causing loss of lives and major infrastructural damage. Several systems have been set-up for monitoring and predicting landslides in different countries where this problem is prevalent. These systems integrate sensing mechanism with communication systems and GPS to detect landslide conditions and alert concerned parties via sms, emails and other appropriate means. Wireless sensor networks have also been widely deployed for landslide monitoring. Mauritius which is an island nation situated in the Indian Ocean has recently faced several problems due to extreme climatic conditions such as torrential rains and flash floods that have led to major landslide problems in different parts of the island. However, to date, there is no adequate system in place to monitor landslides. This paper surveys the different landslide modelling and warning systems that have been deployed worldwide and assesses their suitability for Mauritius. Given the excellent mobile network coverage available in Mauritius, a landslide warning system based on sms notifications appears to be a viable solution for Mauritius. A potential framework for a landslide monitoring system for Mauritius is therefore proposed along with a feasibility analysis

Development of Wireless Sensor Network For Slope Monitoring

An increase in the number of landslides in Malaysia, especially during monsoon season, has caused extensive damage to property and lives. The latest tragedy on 21'1 May 2011, which claimed 16lives of innocent orphans, has become an indicator that a capable real-time monitoring system is crucial in order to avoid this terrible incident from happening again. This report highlights the deployment of Wireless Sensor Network interfaced with suitable sensors for slope monitoring. The sensors include rain gauge, accelerometer, inclinometer, force sensor and pressure sensor. The system is designed to collect the data from the sensors, transmit it to the base station, present the data with graphical representation and interprets the data so that suitable decision can be made. This decision will determine the level of warning that will be declared. Along with the prototype, a slope model will be built to demonstrate the event of landslide. This project is expected to be able to perform a real-time monitoring on the slope and collects relevant data so that appropriate warning can be raised if necessary

Investigating rock mass failure precursors using a multi-sensor monitoring system. Preliminary results from a test-site (Acuto, Italy)

In the last few years, several approaches and methods have been proposed to improve early warning systems for managing risks due to rapid slope failures where important infrastructures are the main exposed elements. To this aim, a multi-sensor monitoring system has been installed in an abandoned quarry at Acuto (central Italy) to realise a natural-scale test site for detecting rock-falls from a cliff slope. The installed multi-sensor monitoring system consists of: i) two weather stations; ii) optical cam (Smart Camera) connected to an Artificial Intelligence (AI) system; iii) stress- strain geotechnical system; iv) seismic monitoring device and nano-seismic array for detecting microseismic events on the cliff slope. The main objective of the experiment at this test site is to investigate precursors of rock mass failures by coupling remote and local sensors. The integrated monitoring system is devoted to record strain rates of rock mass joints, capturing their variations as an effect of forcing actions, which are the temperature, the rainfalls and the wind velocity and direction. The preliminary tests demonstrate that the data analysis methods allowed the identification of external destabilizing actions responsible for strain effects on rock joints. More in particular, it was observed that the temperature variations play a significant role for detectable strains of rock mass joints. The preliminary results obtained so far encourage further experiments

Rock falls impacting railway tracks. Detection analysis through an artificial intelligence camera prototype

During the last few years, several approaches have been proposed to improve early warning systems for managing geological risk due to landslides, where important infrastructures (such as railways, highways, pipelines, and aqueducts) are exposed elements. In this regard, an Artificial intelligence Camera Prototype (AiCP) for real-time monitoring has been integrated in a multisensor monitoring system devoted to rock fall detection. An abandoned limestone quarry was chosen at Acuto (central Italy) as test-site for verifying the reliability of the integratedmonitoring system. A portion of jointed rockmass, with dimensions suitable for optical monitoring, was instrumented by extensometers. One meter of railway track was used as a target for fallen blocks and a weather station was installed nearby. Main goals of the test were (i) evaluating the reliability of the AiCP and (ii) detecting rock blocks that reach the railway track by the AiCP. At this aim, several experiments were carried out by throwing rock blocks over the railway track. During these experiments, the AiCP detected the blocks and automatically transmitted an alarm signal

DEVELOPEMENT OF WIRELESS SENSOR NETWORK FOR LANDSLIDE EARLY WARNING SYSTEM

Landslide is a massive catastrophe occurring all around the world and causing thousand of fatalities throughout the year. It is also ranked as second disaster in the level of destructiveness. The awareness on landslide issue has rise since 1960s, somehow there are still lack of technology developed to mitigate the risk of landslide occurrence. The existed technologies produced are highly sophisticated plus expensive. The campaign introduce by the local authority also did not enough to enhance awareness to prepare, and to reduce the impact of landslide. To solve this, this project will develop a wireless network system (WSN) for landslide early warning system which will alert the possibilities of landslide occurrence for further action and mitigation. Several sensors will be chosen to measure monitor the significant factors which possibly induce landslide. The effectiveness and robustness of the system will also be evaluated throughout the project via slope model and data acquisition in Moteview software

Pengaruh Jarak Transmitter Dan Receiver Terhadap Performasi Modul HC12 Pada Prototipe LSM (Landslide Smart Mitigation)

Abstrak Pengiriman data melalui modul wireless dipilih pada perangkat prototipe karena lebih efisien dan cepat dalam transmisi data dengan jangkauan jarak tertentu. Selain itu, pengiriman dari transmitter ke receiver pada prototipe LSM dapat menampilkan hasil deteksi secara real time. Metode yang digunakan untuk analisis kinerja pengiriman data modul HC12 pada prototipe LSM adalah metode eksperimen. Pengujian dilakukan dengan memanipulasi jarak dari transmitter ke recaiver setiap perubahan 50m. Parameter nilai deteksi sensor soil moisture dan potensiometer slider dikontrol pada nilai tertentu. Hasil yang didapatkan pada pengujian modul wireless HC12 pada prototipe LSM adalah ketika jarak antara transmitter dan receiver ≥750m, maka receiver (papan informasi digital) tidak dapat menampilkan nilai deteksi sensor sekaligus warning system. Hal ini dikarenakan adanya redaman dan juga noise pada saat penguijian performansi modul HC12 berlangsung. Akan teteapi, modul wireless HC12 lebih tepat dijadikan sebagai perangkat pengiriman data dari transmitter ke receiver pada prototipe LSM untuk monitoring bencana tanah longsor dibandingkan perangkat modul wireless yang lainnya. Sehingga, pemantauan dapat dilakukan secara cepat, akurat, dan real time untuk dapat mengurangi kerugian material dan korban jiwa. Kata kunci: modul wireless HC12; jarak transmisi; loss data Abstract Transmission of data via wireless module was chosen on prototype devices due to its efficiency and speed in transmitting data with a certain distance range. Additionally, transmitter dispatch to the receiver on a prototype of LSM can display the detection results in real time. The HC12 module on the LSM prototype is an experimental method. System evaluation was tested by manipulating the distance from the transmitter to the receiver every 50m. The parameters of the detection value of the soil moisture sensor and potentiometer slider are controlled at a certain value. The results of the HC12 wireless module evaluation on the prototype LSM are when the distance between the transmitter and the receiver ≥750m, the receiver (digital information board) cannot display the sensor detection value as well as the warning system. This is due to the attenuation and also noise during the performance measurement of the HC12 module. But the HC12 wireless module is more appropriate was used as a data transmission device from the transmitter to the receiver on the LSM prototype for monitoring landslides compared to other wireless module devices. Thus, monitoring can be done quickly, accurately, and in real time to be able to reduce material losses and casualties. Key words: HC12 wireless module; transmission distance; data los