Slope, Humidity and Vibration Sensors Performance for Landslide Monitoring System

2019 ◽  
Author(s):  
Erwin Susanto ◽  
Faisal Budiman ◽  
Doan Perdana Husneni Mukhtar ◽  
Muhammad Hamdan Latief
Keyword(s):  
Monitoring System ◽  
Landslide Monitoring ◽  
Vibration Sensors

Study of Real-Time Monitoring System on the Underground Mining Activities Based on Explosion Source Location Technology

2012 ◽  
Vol 190-191 ◽  
pp. 1179-1182
Author(s):  
Xiu Zhi Meng ◽  
Zeng Zhi Zhang ◽  
Zong Sheng Wang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Underground Mining ◽  
Coal Mines ◽  
Source Location ◽  
Environmental Damage ◽  
Mining Activities ◽  
Real Time Monitoring ◽  
P Waves ◽  
Vibration Sensors

The mining boundary ultra-layer & cross-border of some small coal mines in the profit-driven results in a many of safety accidents, waste of resources and environmental damage while the state can not achieve the full uninterrupted supervision because of the backward monitoring tools and equipment. In this situation the real-time monitoring system for underground mining activities is designed based on explosion source location technology. Small and medium-sized coal mines tunnel by blasting operations. The P waves are picked up by acceleration vibration sensors buried underground that are identified and dealt by using wavelet transform. The bursting point is located by the Geiger algorithm and displayed in the mine’s electronic map. The monitor system has good stability, small positioning error by field-proven.

Rainfall Induced Landslide Monitoring System

2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Swapnil Bagwari ◽  
Anita Gehlot ◽  
Rajesh Singh ◽  
Amit Kumar Thakur
Keyword(s):  
Monitoring System ◽  
Landslide Monitoring

scholarly journals Design of Early Warning System Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 66
Author(s):  
Gan Bo ◽  
Jin Shan
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Monitoring System ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Sensor Data ◽  
Landslide Monitoring ◽  
Remote Transmission ◽  
Sensor Data Acquisition

In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.

A Conceptual Framework for the Design and Development of Automated Online Condition Monitoring System for Elevators (AOCMSE) Using IoT

2019 ◽  
pp. 189-207
Author(s):  
M. S. Starvin ◽  
A. Sherly Alphonse
Keyword(s):  
Conceptual Framework ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Principal Component ◽  
Design And Development ◽  
Vibration Data ◽  
Vibration Sensors ◽  
Traction Motors ◽  
Condition Monitoring System ◽  
Learning Machine

The reliability of an elevator system in a smart city is of great importance. This chapter develops a conceptual framework for the design and development of an automated online condition monitoring system for elevators (AOCMSE) using IoT techniques to avoid failures. The elevators are powered by the traction motors. Therefore, by placing vibration sensors at various locations within the traction motor, the vibration data can be acquired and converted to 2D grayscale images. Then, maximum response-based directional texture pattern (MRDTP) can be applied to those images which are an advanced method of feature extraction. The feature vectors can also be reduced in dimension using principal component analysis (PCA) and then given to extreme learning machine (ELM) for the classification of the faults to five categories. Thus, the failure of elevators and the consequences can be prevented by sending this detected fault information to the maintenance team.

Image-based landslide monitoring system

2011 ◽  
Author(s):  
Ming-Chih Lu ◽  
Tien-Yu Tang ◽  
Cheng-Pei Tsai ◽  
Wei-Yen Wang ◽  
I-Hsum Li
Keyword(s):  
Monitoring System ◽  
Landslide Monitoring

Application of Optical Fiber Sensing Real-Time Monitoring Technology Using in Ripley Landslide

2014 ◽  
Vol 610 ◽  
pp. 199-204 ◽  
Author(s):  
Xiao Fei Zhang ◽  
Zhong Hu Lv ◽  
Xian Wei Meng ◽  
Fan Jiang ◽  
Qing Zhang
Keyword(s):  
Optical Fiber ◽  
Real Time ◽  
Monitoring System ◽  
Landslide Monitoring ◽  
Real Time Monitoring ◽  
The Real ◽  
Fiber Sensing ◽  
Sensing Technology ◽  
Database Technology ◽  
Optical Fiber Sensing

Nowadays, fiber optic technology has been used in sensing. Using the distributed optical fiber sensing technology in the landslide monitoring, the linear strain distribution information of the whole landslide can be obtained, and adopting the Fiber Bragg Grating sensing technology in the landslide monitoring, the key pot strain and displacement information can be gained. This paper firstly reviews the basic principle of optical fiber sensing, and then describes the optical fiber sensing real-time monitoring system by combining with FBG technology, BOTDR technology, database technology and web server technology, and finally presents a field application experiment using the real-time monitoring system in Ripley landslide in Canada. The experiment indicated that the real-time monitoring system can be realized real-time monitoring of FBG and BOTDR for landslide, and the experience can be extended to other landslide.

LZER0: GNSS cost-effective real-time positioning applied to landslide monitoring

2020 ◽  
Author(s):  
Lavinia Tunini ◽  
David Zuliani ◽  
Paolo Fabris ◽  
Marco Severin
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Cost Effective ◽  
Single Frequency ◽  
Landslide Monitoring ◽  
Natural Risk ◽  
Near Surface ◽  
Landslide Event ◽  
Wide Range

<p>The Global Navigation Satellite Systems (GNSS) provide a globally extended dataset of primordial importance for a wide range of applications, such as crustal deformation, topographic measurements, or near surface processes studies. However, the high costs of GNSS receivers and the supporting software can represent a strong limitation for the applicability to landslide monitoring. Low-cost tools and techniques are strongly required to face the plausible risk of losing the equipment during a landslide event.</p><p>Centro di Ricerche Sismologiche (CRS) of Istituto Nazionale di Oceanografia e di Geofisica Sperimentale OGS in collaboration with SoluTOP, in the last years, has developed a cost-effective GNSS device, called LZER0, both for post-processing and real-time applications. The aim is to satisfy the needs of both scientific and professional communities which require low-cost equipment to increase and improve the measurements on structures at risk, such as landslides or buildings, without losing precision.</p><p>The landslide monitoring system implements single-frequency GNSS devices and open source software packages for GNSS positioning, dialoguing through Linux shell scripts. Furthermore a front-end web page has been developed to show real-time tracks. The system allows measuring real-time surface displacements with a centimetre precision and with a cost ten times minor than a standard RTK GPS operational system.</p><p>This monitoring system has been tested and now applied to two landslides in NE- Italy: one near Tolmezzo municipality and one near Brugnera village. Part of the device development has been included inside the project CLARA 'CLoud plAtform and smart underground imaging for natural Risk Assessment' funded by the Italian Ministry of Education, University and Research (MIUR).</p>

Early-Warning Landslide Monitoring System

2018 ◽  
pp. 63-85
Author(s):  
Alexander Ginzburg ◽  
Valentina Svalova ◽  
Alexey Nikolaev ◽  
Anatoliy Manukin ◽  
Vladimir Savosin
Keyword(s):  
Monitoring System ◽  
Early Warning ◽  
Landslide Monitoring
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