scholarly journals An IOT based rail track condition monitoring and derailment prevention system

2020 ◽  
pp. 1-27
Author(s):  
C. Chellaswamy ◽  
T.S. Geetha ◽  
A. Vanathi ◽  
K. Venkatachalam
Keyword(s):  
Global Positioning System ◽  
Early Stage ◽  
Micro Electro Mechanical System ◽  
Railway Track ◽  
Positioning System ◽  
Track Condition ◽  
Global Positioning ◽  
Prevention System ◽  
The Status ◽  
Track Monitoring

This paper proposes a new method for monitoring the irregularities in railway tracks by updating the status of the tracks in the cloud. The IoT based Railway Track Monitoring System (IoT-RMS) is proposed for monitoring the health of the railway track. The system identifies any abnormality in the tracks at an early stage. These abnormalities are rectified before they develop for smoother transportation. The micro electro mechanical system (MEMS) accelerometers are placed in the axle box for measuring the signal. It becomes hard to identify the exact location of abnormalities when the global positioning system (GPS) falters due to signalling issues. In this paper, a new hybrid method is proposed for locating irregularities on a track; even in the absence of a GPS signal. Pre-processing of the GPS signal is carried out effectively because the sensors used in IoT-RMS are capable of functioning in a high noise environment. The IoT-RMS updates the location of the abnormality in the cloud and shares it with other trains that will be passing through that location. As a result, the drivers of trains respond accordingly and avoid derailment. An experimental setup has been developed for a study of the performances for four different abnormal cases, and the result shows the effectiveness of the proposed system.

Optimized Railway Track Condition Monitoring and Derailment Prevention System Supported by Cloud Technology

2021 ◽  
pp. 036119812098043
Author(s):  
C. Chellaswamy ◽  
T. S. Geetha ◽  
M. Surya Bhupal Rao ◽  
A. Vanathi
Keyword(s):  
Global Positioning System ◽  
Railway Track ◽  
Measured Signal ◽  
Micro Electro Mechanical Systems ◽  
Flower Pollination ◽  
Track Condition ◽  
Global Positioning ◽  
Prevention System ◽  
Pass Through ◽  
Track Monitoring

This paper describes an easy way to monitor railway track abnormalities and update information on the track’s status to the cloud. Abnormalities present in railway tracks should be identified promptly and rectified to ensure safe and smooth travel. In this paper, a cloud-based track monitoring system (CTMS) is proposed for the monitoring of track conditions. The micro-electro mechanical systems (MEMS) accelerometers which are mounted in the axle are used to measure the railway track abnormality. The measured signal is optimized using the flower pollination optimization algorithm (FPOA). Because of signaling problems in the global positioning system (GPS), it is difficult to estimate the exact location of the abnormality in real time. A new method is introduced to overcome this problem. It provides the location of an abnormality even when the GPS signal is absent. The performance of the CTMS is compared with three different speed scenarios of the vehicle. The information about the abnormality on the track can be shared with other trains that pass through the same location so that the driver can reduce speed in that location to avoid derailment. Finally, an experimental setup was developed and the performance of CTMS is studied under four different irregularity cases.

scholarly journals Application of IOT for Human Safety on Road

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Tripura Pidikiti , Et. al.
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Infrared Sensor ◽  
Road Accidents ◽  
Emergency Center ◽  
Global Positioning ◽  
Prevention System ◽  
Alcohol Sensor ◽  
Two Wheeler ◽  
Accident Detection

Two wheelers (motor bikes) are most used easy and economic means of transportation and it also has become unsafe because of the tremendous increase of road accidents. When two-wheeler met with an accident, it is difficult to spot the neighborhood of the accident and mammoth loss occurs due to time factor. This paper presents Internet of Things based accident detection and prevention system. This is a novel system divided into four parts: first to identify the accident to send signal to emergency center along with location using Arduino based Global Positioning System and Global System for Mobile Communication and remaining are to warn to prevent the accidents like an accelerometer to determine the velocity and tilt of the vehicle, Infrared sensor to detect any obstacles and an alcohol sensor.

scholarly journals SEISMIC STRAIN MAP IN MALAYSIA DERIVED FROM LONG-TERM GLOBAL POSITIONING SYSTEM DATA

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 399-408
Author(s):  
M. S. Mohamad ◽  
W. A. W. Aris ◽  
N. J. Jaffar ◽  
R. Othman
Keyword(s):  
Strain Rate ◽  
Global Positioning System ◽  
Crustal Deformation ◽  
Peninsular Malaysia ◽  
Positioning System ◽  
North Borneo ◽  
Global Positioning ◽  
The Status ◽  
Seismic Strain

Abstract. Series of major earthquakes struck the Sundaland plate as a result of convergence with neighboring plates such as Indian, Australian and Philippine plates. Since then, the Sundaland is experiencing significant crustal deformation that implicate reactivation of local fault and embark question on the status of geohazard and seismic risk. In Malaysia, crustal deformation study by using Global Positioning System (GPS) has been conducted for many years. However, the information of crustal deformation was reported separately and difficult to be archived. In addition, continuous estimation of crustal deformation derived from GPS has to be carried out in order to provide present day seismic status. This study aims at generating a seismic catalog map in Malaysia derived from approximately nine (9) years of GPS data. In this study, derived long-term crustal deformation in the form of coordinate time series (CTS) were converted into yearly strain map. The changes of strain with respect to location of old and active fault line in Malaysia were properly analysed. From the result, the highest changes of strain rate for Peninsular Malaysia happened in 2004 until 2005 and 2012 until 2013 prior to 2004 Acheh earthquake event with the moment magnitude (Mw) and 2012 two strike-slip events in Northern Sumatera with the magnitude of 8.2Mw and 8.6Mw. In North Borneo region, the most significant changes of strain rate happened from 2007 to 2009 and 2011 to 2013. It can be expected that the results will be beneficial in augmenting geohazard mitigation in Malaysia.

scholarly journals Design and Development of Smart Fleet System using Global Positioning System

2020 ◽  
Vol 9 (3) ◽  
pp. 1416-1419
Keyword(s):  
Embedded System ◽  
Global Positioning System ◽  
Tracking System ◽  
Positioning System ◽  
Gps Receiver ◽  
Moving Vehicle ◽  
Current Location ◽  
Global Positioning ◽  
The Status ◽  
Driver Circuit

Now a days, Vehicle tracking system plays a major role in our daily life. As the technology grows, vehicle thefts are increasing enormously. This paper proposes to design an embedded system which is used to track and position any vehicle by using Global Positioning System (GPS) and Global system for mobile communication (GSM). This helps in monitoring and reporting the status of the moving Vehicle on demand continuously. So, ATMEGA328 microcontroller is serially interfaced to a GSM Modem and GPS Receiver through serial communication protocol RS 232. In this, driver circuit is used to covert TTL voltages into RS 232 voltage levels. Identifying the position of the remote vehicle is done by GPS modem continuously. The current location details like vehicle longitudes and latitudes of the remote vehicle is sent through GSM modem. The output is acquired from GPS modem and displayed on the LCD display. The same data is transmitted to the mobile at the other end from where the position of the vehicle is demanded. Based on the request placed by the user, the position of the vehicle is automatically sent to the corresponding mobile number. So, this project has been implemented to identify lost vehicle, know the status of moving vehicle from remote location and send the information to the user's mobile number.

Aplikasi Pemosisi Lokal Berbasis Android Dengan Menggunakan GPS

INTI TALAFA ◽  
2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Yaman Khaeruzzaman
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Database Server ◽  
Global Positioning

Seiring dengan pesatnya kemajuan teknologi saat ini, kebutuhan manusia menjadi lebih beragam, termasuk kebutuhan akan informasi. Tidak hanya media informasinya yang semakin beragam, jenis informasi yang dibutuhkan juga semakin beragam, salah satunya adalah kebutuhan informasi akan posisi kita terhadap lingkungan sekitar. Untuk memenuhi kebutuhan itu sebuah sistem pemosisi diciptakan. Sistem pemosisi yang banyak digunakan saat ini cenderung berfokus pada lingkup ruang yang besar (global) padahal, dalam lingkup ruang yang lebih kecil (lokal) sebuah sistem pemosisi juga diperlukan, seperti di ruang-ruang terbuka umum (taman atau kebun), ataupun dalam sebuah bangunan. Sistem pemosisi lokal yang ada saat ini sering kali membutuhkan infrastruktur yang mahal dalam pembangunannya. Aplikasi Pemosisi Lokal Berbasis Android dengan Menggunakan GPS ini adalah sebuah aplikasi yang dibangun untuk memenuhi kebutuhan pengguna akan informasi lokasi dan posisi mereka terhadap lingkungan di sekitarnya dalam lingkup ruang yang lebih kecil (lokal) dengan memanfaatkan perangkat GPS (Global Positioning System) yang telah tertanam dalam perangkat smartphone Android agar infrastruktur yang dibutuhkan lebih efisien. Dalam implementasinya, Aplikasi Pemosisi Lokal ini bertindak sebagai klien dengan dukungan sebuah Database Server yang berfungsi sebagai media penyimpanan data serta sumber referensi informasi yang dapat diakses melalui jaringan internet sehingga tercipta sebuah sistem yang terintegrasi secara global. Kata kunci: aplikasi, informasi, pemosisi, GPS.

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