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DESCRIPTION Embedded Systems training in bangalorePresented by http://www.armtechnow.comEMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMINTRODUCTION: ã In recent years…
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TRANSCRIPT Embedded Systems training in bangalorePresented by http://www.armtechnow.comEMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMINTRODUCTION: • In recent years there is an increasing interest on the development of sensor based instrumentation systems suitable for the detection of tsunami. • It is a known fact that, early detection of tsunami enables us to take the necessary preventive steps to avoid the possible disaster and loss of life. • Tsunami is known to be generated by any disturbance that displaces a large mass of water. • Studies on the cause, nature and detection of tsunami waves allow us to infer that they are indeed a dynamic phenomenon, which can only be detected or measured with respect to pressure and temperature changes associated with the waves. • In the present paper, we report the study and implementation of a pressure sensor based lowcost system to detect the occurrences of tsunami at significantly smaller laboratory scale. • The advantage of using an embedded system for developing a Tsunami warning system is its accuracy and speed and also it uses capacitive sensors which are highly sensitive even for a small level pressure changes. • Moreover, this system has very long life and it is cheaper than the existing system. www.armtechnow.com2EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMOBJECTIVE: •This project proposes an automated system that detects the occurrence of tsunami with pressure and vibrations.•It also notifies the warning in the form of a text message broadcasted over the offshore area and also through social media and also reduces the false alarm which threatens the public and the Goverment.http://www.armtechnow.com3EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMLITERATURE REVIEW: 1].Srinivasa Kumar et.al[1] narrates that INTERNATIONAL TSUNAMI EARLY WARNING SYSTEM is to detect, locate, and determine the magnitude of potentially tsunamigenic earthquakes occurring in the Indian Ocean Basin and to provide timely advisories to the vulnerable community following a standard operating procedure (SOP) by means of various available communication methods. 2].Shailesh Nayak et.al[2] give details about various components of tsunami warning centre, development of the application software and its performance during the Java Earthquake of M 8.4 on September12, 2007. 3].Twinkle Tayal et.al[3] narrates about “fuzzy logicâ€?. The compelling reason for selection of fuzzy logic model in this study is the CLICK HERE TO DOWNLOAD NOW! natural fuzziness in the nature of tsunami and the difference of influence of different causes of tsunami. 4].J.Watcher et.al[4] general development of information and communications technology (ICT),the evolution of tsunami warning systems (TWS) shows a significant development from seismic-centred to multisensory system architectures using additional sensors (e.g. tidegauges and buoys) for the detection of tsunami waves in the ocean Previous post Next post 4EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT Http___schneiderDownload%20b%C3%Bccher%20kosten SYSTEMMETHODOLOGY: COMPONENTS• • • • •water tank pressure sensors Vibration Prod.bsky.net_internet_pws_literature.n lose%20wassermelone%20autor%20mar sensors water pump with water pipe line valve to simulate the turbulence and pressure sf_luAllByID_LWIXian%20keyes%20im%20format%20%28p variations similar to the case of tsunami.WORKING• Inside the tank, suitable mountings are 4GRH8L_$File_MVP5264_V3 Genie Evo df%2 (/Download-20b-C3-Bccherprovided for the convenience of fixing the pressure sensors at different depths in water. • The Brochure Final Pdf (/Http-Schneider20kostenlose-20wassermelone-20autorvalve fixed in the water pipeline enables to control the water flow rate and hence the water Prod-Bsky-Net-Internet-Pws-Literaturepressure variations inside the tank. • In order to have redundancy, two similar pressure 20marian-20keyes-20im-20format-20sensors can be used which are hermetically sealed. www.armtechnow.com5EMBEDDED Nsf-Luallbyid-Lwix-4grh8l-File-Mvp526428pdf-2) SYSTEM BASED TSUNAMI DETECTION AND ALERT Nov 16, 2017 V3-Genie-Evo-Brochure-Final-Pdf) SYSTEMwww.armtechnow.com6EMBEDDED SYSTEM BASED TSUNAMI DETECTION Nov 16, 2017 AND ALERT SYSTEMTRANSMITTER SECTION:VIBRATION SENSOR SW 420 ARDUINO UNOZIGBEE/802.15.4 2.4GHZPIEZOELECTRIC SENSORwww.armtechnow.com7EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEM•The transmitter section is put on water bed that will sense pressure variation in the ocean.•The input to the transmitter module is dual input i.e. input is from two sources.•First input is from piezoelectric sensor which is an analog input which senses the pressure at a resonant frequency ,and the other input is from vibration sensor module, it is a digital input to Arduino.•The input from both the sensors is compared by the programmed Arduino.•The output will be available only if both vibration and pressure is detected. The output is available on the transmitter pin of Arduino.•It wirelessly transmits the received input (the warning alert) from the Arduino to the receiver module using QPSK (Quadrature Phase Shift Keying) modulation.www.armtechnow.com8EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEM•SW 420 normally is a closed type vibration sensor comparator output, clean signal , good waveform, strong driving ability greater than 15mA.•The working voltage is 3.3V-5V.•The format is digital switching output(0 and 1).•ZigBee/802.15.4-based specification for a suite of high level communication protocols.•It’s low power consumption limits transmission distances to 10-100mts line of sight depending on power output and environmental characteristics.•However a low cost solution to improve ZigBee wireless network is by integrating SKY65336 and SKY65337 upto range of 923 mtswww.armtechnow.com9EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMRECEIVER SECTION:ZIGBEE/802.15.4 COORDINATORARDUINO UNOwww.armtechnow.comGSM /GPRS DUAL MODEM SIM 900A10EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEM•At the receiver end, the transmitted information is received by receiver pin of receiver module at similar frequency and modulation technique as that of transmitter module.•Arduino here acts as a connecting bridge between the ZIGBEE/802.15.4 and GSM/GPRS MODEM(SIM 900A) which transmits the text message to the final end user on mobile phone.•SIM 900 is a quad band modem being able to operate in 1900MHZ band. It is simple to use and low of cost.•Thus a text notification is received alerting about tsunami on a cellular module.www.armtechnow.com11EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMADVANTAGES: 1. It also provides the intensity and exact pressure measurement of the wave, so as to aware people if there is any increase or decrease in the level. 2. To avoid false alarms, the intensity is checked and verified in real time and then a message is being sent automatically without human intervention. Message being in SMS, format is convenient for all users even without internet connection. 3. The use of two sensors i.e., piezoelectric disc sensor and vibration sensor make the output accurate and also permits to adjust the sensitivity of the sensor in accordance with the requirement .www.armtechnow.com12EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMPOSSIBLE OUTCOMES: •The proposed “Tsunami detection and alert system” using embedded system gives good accuracy and speed at very good rate.•The system gives alert messages to respective remote locations as through SMS services and social media.www.armtechnow.com13EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMREFERENCES: 1] Srinivasa Kumar, Ch. Patanjali Kumar ,Shailesh Nayak , Performance of the Indian Tsunami early warning system , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan 2010 2] Shailesh Nayak, T. Srinivasa Kumar, Indian Tsunami warning system, Commission IV 3] Twinkle Tayal, Prema KV, Design and Implementation of a fuzzy based tsunami warning system, International Journal of Research in Engineering and Technology. 4] J.Wachter, A. Babeyko, J. Fleischer, R. Haner, M. Hammitzsch, A. Kloth, and M. Lendholt, Development of tsunami early warning systems and future challenges.www.armtechnow.com14EMBEDDED SYSTEM BASED TSUNAMI DETECTION AND ALERT SYSTEMwww.armtechnow.com15
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