Design and Simulation of MEMS Accelerometer for the Application of Seismic vibrations

2020 ◽  
Vol 12 ◽  
Author(s):  
K. Srinivasa Rao ◽  
M. Harsha Vardhan ◽  
CH. Mani Kanta Uma Mahesh ◽  
S. Nikhil ◽  
P. Ashok Kumar ◽  
...  
Keyword(s):  
Early Warning ◽  
Low Cost ◽  
Warning System ◽  
Early Warning Systems ◽  
Vulnerable Groups ◽  
Acceleration Sensor ◽  
Disaster Reduction ◽  
Short Period ◽  
Acceleration Sensors ◽  
Seismic Vibrations

Aim: Using accelerometer to detect the vibrations produced during earthquake. Backgorund: The big challenge facing the Earthquake Early Warning Systems (EEWS) is to accurately detect seismic tremors at the edge of the early warning system or outside of the earthquake seismic system.[1]. During the last years in development, early warning earthquake (EEW) has proved to be one of the potential means of disaster reduction. Objectives: During the last years in development, early warning earthquake (EEW) has proved to be one of the potential means of disaster reduction. The EEW network intensity usually determines the efficiency of both the EEW system An upgraded low-cost Micro Electro Mechanical System MEMS based device called GL-P2B to reduce sensor costs and establish a dense EEW In the this study, a dense EEW network was also developed to maximize the density of the seismic network for EEW applications. A tri-axial sensor with high-dynamic MEMS called GL-P2B was developed. This sensor was upgraded from the previous version by enhancing the CPU's processing capability and correcting certain errors found during the initial test cycle. Methodology: An autonomous sensor with an acceleration sensor is launched in this article First; we systematically evaluated a series of acceleration sensors to select the most suitable acceleration sensor using mems by analyzing their quality and accuracy, and then created a dedicated tool that can monitor earthquakes. Our result shows that an earthquake can be detected with a low-cost acceleration detector, thereby enhancing the safety of vulnerable groups against earthquakes. Results: There have been two earthquakes recently: Gyeongju Earthquake in magnitude 5.6 and Pohang South Korea Earthquake in magnitude 5.4 respectively in 206 and 2017. As a result, earthquake detection and response in a relatively short period of time was highly demanded. The use of seismic smart phone systems is one solution, but it is expensive to use a smartphone to track seismic events and to allow participants to use their smartphones as just another seismic detector. However, because of the existence of smartphones which are used extensively in our everyday lives, a large percentage of smartphones are useless for earthquakes to be detected. We also built a clever tool in this paper that can be mounted to a wall or to a ceiling. The system is only fitted with sensors that include an accelerator and the price in comparison to intelligent telephones is very small. Conclusion: In this paper, we have used an appropriate capacitive sensing technology to create the accelerometer. We have designed and simulated the accelerometer to measure the seismic vibrations by FEM Tool. The simulated results show that the unit is modelled on a 3Hz resonant frequency and therefore it senses the acceleration between 2 and 8 Hz.

scholarly journals A Smart IoT Device for Detecting and Responding to Earthquakes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1546 ◽  
Author(s):  
Jangsoo Lee ◽  
Irshad Khan ◽  
Seonhwa Choi ◽  
Young-Woo Kwon
Keyword(s):  
Low Cost ◽  
Warning System ◽  
Acceleration Sensor ◽  
Earthquake Early Warning System ◽  
Detection Model ◽  
Earthquake Detection ◽  
Warning Message ◽  
Acceleration Sensors ◽  
Learning Technique ◽  
Noise Data

The advancement of hardware and software technologies makes it possible to use smartphones or Internet of things for monitoring environments in realtime. In recent years, much effort has been made to develop a smartphone based earthquake early warning system, where low-cost acceleration sensors inside a smartphones are used for capturing earthquake signals. However, because a smartphone comes with a powerful CPU, spacious memory, and several sensors, it is waste of such resources to use it only for detecting earthquakes. Furthermore, because a smartphone is mostly in use during the daytime, the acquired data cannot be used for detecting earthquakes due to human activities. Therefore, in this article, we introduce a stand-alone device equipped with a low-cost acceleration sensor and least computing resources to detect earthquakes. To that end, we first select an appropriate acceleration sensor by assessing the performance and accuracy of four different sensors. Then, we design and develop an earthquake alert device. To detect earthquakes, we employ a simple machine learning technique which trains an earthquake detection model with daily motions, noise data recorded in buildings, and earthquakes recorded in the past. Furthermore, we evaluate the four acceleration sensors by recording two realistic earthquakes on a shake-table. In the experiments, the results show that the developed earthquake alert device can successfully detect earthquakes and send a warning message to nearby devices, thereby enabling proactive responses to earthquakes.

Community Based Flash Flood Early Warning System: a Low-cost Technology for Nepalese Mountains

2018 ◽  
pp. 87-92
Author(s):  
Basanta Raj Adhikari ◽  
Nagendra Raj Sitoula
Keyword(s):  
Operating System ◽  
Early Warning ◽  
Flash Flood ◽  
Low Cost ◽  
Warning System ◽  
Early Warning Systems ◽  
Ultrasonic Sensor ◽  
Environmental Cost ◽  
High Tech ◽  
Processing Unit

Every year, flood impose substantial economic, social and environmental cost on Nepalese community through direct damage to residential, commercial, educational and structures. Moreover, the flood destroys animal farm, commercial stock and records and other content of the building and pollutes the water. Early Warning Systems are important to save such lives and properties which involves computer, satellite data and high accurate operating system but this system is very costly in terms of installation as well as operation and maintenance leading to hindrance in the sustainability of the system. However, high-tech technology is very expensive and not feasible in Nepal and therefore low-cost and easy operating system is needed in the rural parts of Nepal. The system includes Solar panel, Siren, Ultrasonic sensor, processing unit, and battery. The ultrasonic sensor sense water level and the siren will automatically start. The threshold can be set up according to the space and time. Bulletin of Department of Geology, vol. 20-21, 2018, pp: 87-92

scholarly journals Forecasting and communication key elements for low-cost fluvial flooding early warning system in urban areas

2021 ◽  
Vol 11 (5) ◽  
pp. 4143
Author(s):  
Melisa Acosta-Coll ◽  
Andres Solano-Escorcia ◽  
Lilia Ortega-Gonzalez ◽  
Ronald Zamora-Musa
Keyword(s):  
Power Consumption ◽  
Early Warning ◽  
Urban Areas ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
Communication Protocols ◽  
Warning System ◽  
Early Warning Systems ◽  
High Energy ◽  
The Difference

Fluvial flooding occurs when a river overspills its banks due to excessive rainfall, and it is the most common flood event. In urban areas, the increment of urbanization makes communities more susceptible to fluvial flooding since the excess of impervious surfaces reduced the natural permeable areas. As flood prevention strategies, early warning systems (EWS) are used to reduce damage and protect people, but key elements need to be selected. This manuscript proposes the monitoring instruments, communication protocols, and media to forecast and disseminate EWS alerts efficiently during fluvial floods in urban areas. First, we conducted a systematic review of different EWS architectures for fluvial floods in urban areas and identified that not all projects monitor the most important variables related to the formation of fluvial floods and most use communication protocols with high-energy consumption. ZigBee and LoRaWAN are the communication protocols with lower power consumption from the review, and to determine which technology has better performance in urban areas, two wireless sensor networks were deployed and simulated in two urban areas susceptible to fluvial floods using Radio Mobile software. The results showed that although Zigbee technology has better-received signal strength, the difference with LoRAWAN is lower than 2 dBm, but LoRaWAN has a better signal-to-noise ratio, power consumption, coverage, and deployment cost.

scholarly journals Flood disaster indicator of water level monitoring system

2019 ◽  
Vol 9 (3) ◽  
pp. 1694 ◽  
Author(s):  
Wan Haszerila Wan Hassan ◽  
Aiman Zakwan Jidin ◽  
Siti Asma Che Aziz ◽  
Norain Rahim
Keyword(s):  
Water Level ◽  
Mobile Communications ◽  
Early Warning ◽  
Low Cost ◽  
Warning System ◽  
Early Warning Systems ◽  
Flood Management ◽  
Short Message ◽  
Alert Message ◽  
Message Service

The early warning systems for flood management have been developed rapidly with the growth of technologies. These system help to alert people early with the used of Short Message Service (SMS) via Global System for Mobile Communications (GSM). This paper presents a simple, portable and low cost of early warning system using Arduino board, which is used to control the whole system and GSM shields to send the data. System has been designed and implemented based on two components which is hardware and software. The model determines the water level using float switch sensors, then it analyzes the collected data and determine the type of danger present. The detected level is translated into an alert message and sent to the user. The GSM network is used to connect the overall system units via SMS.

scholarly journals Investigation of Critical Geotechnical, Petrological and Mineralogical Parameters for Landslides in Deeply Weathered Dunite Rock (Medellín, Colombia)

2021 ◽  
Vol 18 (21) ◽  
pp. 11141
Author(s):  
Tamara Breuninger ◽  
Bettina Menschik ◽  
Agnes Demharter ◽  
Moritz Gamperl ◽  
Kurosch Thuro
Keyword(s):  
Rock Mass ◽  
Early Warning ◽  
Hazard Analysis ◽  
Low Cost ◽  
Warning System ◽  
Field Studies ◽  
Early Warning Systems ◽  
Small Scale ◽  
Prone Area ◽  
Landslide Early Warning

The current study site of the project Inform@Risk is located at a landslide prone area at the eastern slopes of the city of Medellín, Colombia, which are composed of the deeply weathered Medellín Dunite, an ultramafic Triassic rock. The dunite rock mass can be characterized by small-scale changes, which influence the landslide exposition to a major extent. Due to the main aim of the project, to establish a low-cost landslide early warning system (EWS) in this area, detailed field studies, drillings, laboratory and mineralogical tests were conducted. The results suggest that the dunite rock mass shows a high degree of serpentinization and is heavily weathered up to 50 m depth. The rock is permeated by pseudokarst, which was already found in other regions of this unit. Within the actual project, a hypothesis has for the first time been established, explaining the generation of the pseudokarst features caused by weathering and dissolution processes. These parameters result in a highly inhomogeneous rock mass and nearly no direct correlation of weathering with depth. In addition, the theory of a secondary, weathering serpentinization was established, explaining the solution weathering creating the pseudokarst structures. This contribution aims to emphasize the role of detailed geological data evaluation in the context of hazard analysis as an indispensable data basis for landslide early warning systems.

scholarly journals Brief communication "Landslide Early Warning System: toolbox and general concepts"

2013 ◽  
Vol 13 (1) ◽  
pp. 85-90 ◽  
Author(s):  
E. Intrieri ◽  
G. Gigli ◽  
N. Casagli ◽  
F. Nadim
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
End Users ◽  
Flow Chart ◽  
Warning Systems ◽  
Limited Experience ◽  
Practical Guidelines ◽  
Landslide Early Warning

Abstract. We define landslide Early Warning Systems and present practical guidelines to assist end-users with limited experience in the design of landslide Early Warning Systems (EWSs). In particular, two flow chart-based tools coming from the results of the SafeLand project (7th Framework Program) have been created to make them as simple and general as possible and in compliance with a variety of landslide types and settings at single slope scale. We point out that it is not possible to cover all the real landslide early warning situations that might occur, therefore it will be necessary for end-users to adapt the procedure to local peculiarities of the locations where the landslide EWS will be operated.

scholarly journals Communication architecture of an early warning system

2010 ◽  
Vol 10 (11) ◽  
pp. 2215-2228 ◽  
Author(s):  
M. Angermann ◽  
M. Guenther ◽  
K. Wendlandt
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Satellite Communication ◽  
Warning System ◽  
Early Warning Systems ◽  
Lessons Learned ◽  
Warning Systems ◽  
Communication Architecture ◽  
Design And Implementation ◽  
Communication Links

Abstract. This article discusses aspects of communication architecture for early warning systems (EWS) in general and gives details of the specific communication architecture of an early warning system against tsunamis. While its sensors are the "eyes and ears" of a warning system and enable the system to sense physical effects, its communication links and terminals are its "nerves and mouth" which transport measurements and estimates within the system and eventually warnings towards the affected population. Designing the communication architecture of an EWS against tsunamis is particularly challenging. Its sensors are typically very heterogeneous and spread several thousand kilometers apart. They are often located in remote areas and belong to different organizations. Similarly, the geographic spread of the potentially affected population is wide. Moreover, a failure to deliver a warning has fatal consequences. Yet, the communication infrastructure is likely to be affected by the disaster itself. Based on an analysis of the criticality, vulnerability and availability of communication means, we describe the design and implementation of a communication system that employs both terrestrial and satellite communication links. We believe that many of the issues we encountered during our work in the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009) on the design and implementation communication architecture are also relevant for other types of warning systems. With this article, we intend to share our insights and lessons learned.

scholarly journals On building early-warning systems for preventing the deterioration of financial institutions’ performance

2019 ◽  
Vol 1 (1) ◽  
pp. 194-202
Author(s):  
Adrian Costea
Keyword(s):  
Financial Institutions ◽  
Early Warning ◽  
Warning System ◽  
Early Warning Systems ◽  
Capital Adequacy ◽  
Self Organizing Map ◽  
Self Organizing Maps ◽  
Performance Dimensions ◽  
Som Model ◽  
Self Organizing

Abstract This paper assesses the financial performance of Romania’s non-banking financial institutions (NFIs) using a neural network training algorithm proposed by Kohonen, namely the Self-Organizing Maps algorithm. The algorithm takes the financial dataset and positiones each observation into a self-organizing map (a two-dimensional map) which can be latter used to visualize the trajectories of an individual NFI and explain it based on different performance dimensions, such as capital adequacy, assets’ quality and profitability. Further, we use the map as an early-warning system that would accurately forecast the NFIs future performance (whether they would stay or be eliminated from the NFI’s Special Register three quarters into the future). The results are promising: the model is able to correctly predict NFIs’ performance movements. Finally, we compared the results of our SOM-based model with those obtained by applying a multivariate logit-based model. The SOM model performed worse in discriminating the NFIs’ performance: the performance classes were not clearly defined and the model lacked the interpretability of the results. In the contrary, the multivariate logit coefficients have nice interpretability and an individual default probability estimate is obtained for each new observation. However, we can benefit from the results of both techniques: the visualization capabilities of the SOM model and the interpretability of multivariate logit-based model.

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