Design and Development of Digital-Analog Seismograph
Hemantika1, Swaranjit Singh2, Tejpal Singh3
1Hemantika, Student, Thapar Institute of Engineering and Technology, Patiala, India.
2Mr. Swaranjit Singh, Sr. Technical Officer, Sr. Scientist, CSIR Central Scientific Instruments Organization, Chandigarh, India.
3Dr. Tejpal Singh, Sr. Technical Officer, Sr. Scientist, CSIR- Central Scientific Instruments Organization, Chandigarh, India.
Manuscript received on January 16, 2020. | Revised Manuscript received on January 23, 2020. | Manuscript published on February 10, 2020. | PP: 1542-1548 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1698029420/2020©BEIESP | DOI: 10.35940/ijitee.D1698.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The analog Seismograph is a device designed and developed to monitor process and record the field seismic data from remote sites. This data contains the timing information which is usually recorded on paper wrapped around drum. Being generating only the hardcopy, the data however cannot be uploaded on seismic software for analysis purpose along with ease of calculations. Not only this, due to limited memory base, frequent changing of drum rolls is required which often leads to delays. These problems can be removed by digitization of the system which with increased efficiency also provides miniaturization of the system. In this work we have used LattePanda a windows 10 development board to run the system. LattePanda has added advantage of raspberry pie and windows 10 IoT core processor. Accelerometer and seismometer is interfaced with LattePanda to measure seismic vibrations. These motions guide the pen movement of the drum which is further incorporated with stepper motors NEMA 14 and NEMA 17 for quick and robust response. Timing and positioning information of the location along with coordinates of the working satellites and present location of the seismometer is decoded using NEO6m gps module. The graphical visualization of the entire satellites actively passing data to the module is taken through u-blox ucentre gnss evaluation software tool For sending this data on remote servers, Python based TERA TERM software is utilized. With all these parameters now at our disposal, debugging is enhanced and analysis becomes much more easier. Pre-events calculations with digitization not only become feasible but also allow precautionary measures possible.
Keywords: Latte Panda, Seismograph, Stepper Motor, NEO 6m, Accelerometer, NMEA Motors
Scope of the Article: Digital signal processing theory