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Hardware Design for Low Power Integrated Sensor System

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DOI: 10.4236/ijcns.2012.53018    3,524 Downloads   7,373 Views   Citations

ABSTRACT

An integrated sensor system is implemented using inter-integrated circuit mode (I2C) software, utilizing the PIC182585 MPLAB embedded control system utilizing hardware. The hardware implementation features high level of integration, reliability, high precision, and high speed communications. The system was demonstrated by temperature and CO2 sensors. An extension for Zigbee system is proposed to enhance the security of the integrated system. A bi-directional air/liquid flow sensor is also added to detect the flow magnitude and direction that can be applied to heating, ventilating, and air-conditioning (HVAC), local and national security within subway systems, and medical equipment. The hardware design of the flow sensor included one heating element and two sensing elements to detect the bi-directional flow. Platinum sensors were found to be of high sensitivity and linear characteristics within 0℃ to 100℃ range, and their high temperature coefficient (0.00385 Ω/Ω/℃). Polyimide thin film heater was used as the heating element due to its high throughput and good thermal efficiency. Two bridge circuits were also designed to sense the temperature distribution in the vicinity of the sensing elements. Three high precision instrumentation low power amplifiers with offset voltage ~2.5 μV (50 μV max) were used for the overall design. The system security is also enhanced with the detection of poison gas using Carbon Nanotube devices (CNT). An antenna system was designed, and a frequency shift was detected to designate the type of poison gas used for a general threat.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

M. Rizkalla, A. Feng, M. Knieser, F. Bowen, P. Salama, B. King, J. Radadia, S. Gadkari and H. Jafarian, "Hardware Design for Low Power Integrated Sensor System," International Journal of Communications, Network and System Sciences, Vol. 5 No. 3, 2012, pp. 141-146. doi: 10.4236/ijcns.2012.53018.

References

[1] M. Rusu, G. Saplacan, G. Sebestyen, C. Cenan, L. Krucz, T. Nicoara and N. Todor, “Distributed e-Health System with Smart Self-Care Units,” Proceeding of IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, ICCP 2009, Cluj-Napoca, 27-29 August 2009, pp. 307-314.
[2] S. Lee, B. D. Youn and B. C. Jung, “Robust Segment-Type Energy Harvester and Its Application to a Wireless Sensor,” Smart Materials and Structures, Vol. 18, No. 9, 2009, Article ID: 095021. doi:10.1088/0964-1726/18/9/095021
[3] N. E. Cater and T. O’Reilly, “Romoting Interoperable Ocean Sensors the Smart Ocean Sensors Consortium,” Proceeding of OCEANS 2009, MTS/IEEE Biloxi—Marine Technology for Our Future: Global and Local Challenges, Biloxi, 26-29 October 2009, pp. 1-6.
[4] L. Bixio, L. Ciardelli, M. Ottonello and C. S. Regazzoni, “Distributed Cognitive Sensor Network Approach for Surveillance Applications,” Proceeding of 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009, AVSS’09, Genova, 2-4 September 2009, pp. 232-237. doi:10.1109/AVSS.2009.99
[5] Y. L. Wang, M. Casares and S. Velipasalar, “Cooperative Object Tracking and Event Detection with Wireless Smart Cameras,” Proceeding of 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009, AVSS’09, Genova, 2-4 September 2009, pp. 394-399. doi:10.1109/AVSS.2009.77
[6] M. H. Salah, T. H. Mitchell, J. R. Wagner and D. M. Dawson, “A Smart Multiple-Loop Automotive Cooling System—Model, Control, and Experimental Study,” IEEE/ASME Transactions on Mechatronics, Vol. 15, No. 1, 2010, pp. 117-124. doi:10.1109/TMECH.2009.2019723
[7] J. Marek, “MEMS for Automotive and Consumer Electronics,” Proceeding of 2010 IEEE International Solid-State Circuits Conference, Digest of Technical Papers (ISSCC), San Francisco, 7-11 February 2010, pp. 9-17. doi:10.1109/ISSCC.2010.5434066
[8] M. G. Zanchi, and R. Venook, J. M. Pauly and G. C. Scott, “An Optically Coupled System for Quantitative Monitoring of MRI-Induced RF Currents into Long Conductors,” IEEE Transactions on Medical Imaging, Vol. 29, No. 1, 2010, pp. 169-178. doi:10.1109/TMI.2009.2031558
[9] F. Ibrahim, M. Barbic and C. Druzgalski, “Stripe Sensor Tomography and Application to Microcoil Magnetic Resonance Imaging,” Proceeding of Pan American Health Care Exchanges, 2009, Mexico City, 16-20 March 2009, pp. 153-153.
[10] R. Jasmin, “A Highly Precise and Linear Ic for Heat Pulse Based Thermal Bidirectional Mass Flow Sensor,” MS Thesis, Purdue University, West Lafayette, 2010.
[11] S. Gadkari and M. Rizkalla, “CNT Nanotube Based Sensor for Gas Detection,” Technical Report, Department of ECE, Purdue School of Engineering and Technology, West Lafayette, 2011
[12] SST Inc. Products Datasheets, 2010. http://www.smartsystemstech.com/, accessed September
[13] A. Feng and R. Maher, “Temperature/CO2 Sensor Embedded System Based Communications,” ISCA 1st International Conference on Signal Processing and Applications, Orlando, 15-17 September 2010.

  
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