scholarly journals DESIGN OF PRESSURE MEASUREMENT IN THE EXERCISE SMART MINE USING A PRESSURE SENSOR

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 166
Author(s):  
Endin Tri Hartanto ◽  
Edy Widodo ◽  
Ayip Rivai Prabowo ◽  
Sulaiman Sulaiman

The Sea Mines are explosive devices placed in the waters to destroy ships or submarines. The sea mines were placed in the water depths and waited until it was triggered to be blown up by an approaching enemy vessel. The waves in the leave can be measured using the air pressure sensor placed below the water surface, the change in the sensor up and down will result in changes in air pressure. Changes in the resulting pressure of the vessel will result in water waves, resulting from changes in the water wave height will result in a change in water pressure gauge sensors in the air. The MPX5700 air pressure Sensor, as a source of pressure measurement with analog voltage output is comparable to the large value of air pressure. Design the air pressure measuring instrument system using the Arduino microcontroller as the unit of the voltage conversion process to the pressure variable in the KPA. On testing authors use applications that are created using Visual Studio 2012 to plotting the pressure graphs and large voltage output sensors. Results obtained using the MPX5700 sensor with an analog output can result in a linear pressure output with a large voltage output, from the test result obtained the conversion value 0.2 V as the value of 0 Kpa and the value of 4.7 V asthe maximum value pressure measurement of 700 Kpa. Keywords: mines, MPX5700, Arduino microcontrollers

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4192 ◽  
Author(s):  
Leslie Wong ◽  
Ravin Deo ◽  
Suranji Rathnayaka ◽  
Benjamin Shannon ◽  
Chunshun Zhang ◽  
...  

Leakage is undesirable in water distribution networks, as leaky pipes are financially costly both to water utilities and consumers. The ability to detect, locate, and quantify leaks can significantly improve the service delivered. Optical fibre sensors (OFS) have previously demonstrated their capabilities in performing real-time and continuous monitoring of pipe strength leak detection. However, the challenge remains due to the high labour cost and time-consuming process for the installation of optical fibre sensors to existing buried pipelines. The aim of this paper is to evaluate the feasibility of a submersible optical fibre-based pressure sensor that can be deployed without rigid bonding to the pipeline. This paper presents a set of experiments conducted using the proposed sensing strategy for leak detection. The calibrated optical fibre device was used to monitor the internal water pressure in a pipe with simultaneous verification from a pressure gauge. Two different pressure-based leak detection methods were explored. These leak detection methods were based on hydrostatic and pressure transient responses of the optical fibre pressure sensor. Experimental results aided in evaluating the functionality, reliability, and robustness of the submersible optical fibre pressure sensor.


Measurement ◽  
2021 ◽  
pp. 109784
Author(s):  
Yufang Bai ◽  
Jie Zeng ◽  
Jiwei Huang ◽  
Zhenfeng Yan ◽  
Yaxing Wu ◽  
...  

Author(s):  
Horng-Yuan Shih ◽  
Chin-Te Hsin ◽  
Cheng-Wei Yang ◽  
Hsin-Liang Chen ◽  
Jhe-Yuan Kuo

1979 ◽  
Vol 36 (10) ◽  
pp. 1223-1227
Author(s):  
D. D. Lemon ◽  
P. H. LeBlond ◽  
T. R. Osborn

Seiche motions observed in San Juan Harbour with a bottom-mounted pressure gauge have been Fourier-analyzed and interpreted in terms of a theoretical model of oscillations in a rectangular basin with an exponential depth profile. Two of the observed periods (at 14.6 and 38.5 min) are identified with resonances of the basin; two other significant low frequency peaks (at 21 and 55 min) do not coincide with resonant periods of the basin and must be due to strong external forcing. Higher frequency fluctuations (20–160 s) are attributed to swell and to its subharmonic interactions with edge waves. Key words: water waves, seiches, mathematical model, Juan de Fuca Strait, British Columbia


Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 736 ◽  
Author(s):  
Guodong Zhang ◽  
Yulong Zhao ◽  
Yun Zhao ◽  
Xinchen Wang ◽  
Xueyong Wei ◽  
...  

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