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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 10 , ISSUE 4 (December 2017) > List of articles


P. Visconti * / B. Sbarro * / P. Primiceri *

Keywords : Telemetry, sensors, electronic modules, firmware, wireless monitoring, prototype testing.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 4, Pages 793-828, DOI: https://doi.org/10.21307/ijssis-2018-019

License : (BY-NC-ND 4.0)

Received Date : 21-August-2017 / Accepted: 01-November-2017 / Published Online: 01-December-2017



Telemetry is a technology that allows remote measurement and transmission of moving car information, allowing to collect a huge amount of data that are interpreted to ensure that car is performing at its optimum. In this research work, by using electronic modules and sensors available at very low costs, a reliable and accurate telemetry system was realized in order to monitor physical and mechanical parameters of a racing vehicle during its motion. Implemented data acquisition and wireless communication unit allows to collect, on board of vehicle, the temperature of engine compartment and cooling liquid, suspensions’ extensions, vehicle speed and also its orientation and acceleration and to send wirelessly all these data to a base station, where are monitored by technical staff, so ensuring quick intervention in case of malfunctioning. STM32 Nucleo development board, heart of realized telemetry system, properly programmed with the developed firmware, acquires data from used sensors and, through a WiFi radio module, sends them to the base station; the data are also stored on a SD memory card to avoid data losses. Sparkfun CAN module is employed for this aim and to interface the engine control unit with ST Nucleo board. Experimental tests were carried out for verifying correct operation of realized system; by analyzing trends over time of monitored vehicle parameters as function of the vehicle movements, driving conditions and race track, the technicians ensure safety of pilot life and also an optimization of the vehicle performances.

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[1] E. Önler, S. Çelen, A. Moralar, İ. H. Çelen: Development of Telemetry System for Electric Powered Vehicle. Int. Journal of Current Research, Vol. 8 (9), pp. 38715-38719 (2016).
[2] P. Taylor, N. Griths, A. Bhalerao, S. Anand, T. Popham, Z. Xu, A.Gelencser: Data Mining for Vehicle Telemetry. Applied Artificial Intelligence, Vol. 30 (3). pp. 233-256, 2016.
[3] Y. Zhu, N. Kang, J. Cao, A. Greenberg, G. Lu, R. Mahajan, D. Maltz, L. Yuan, M. Zhang, B. Y. Zhao, H. Zheng: Packet-Level Telemetry in Large Datacenter Networks. Proc. of the 2015 ACM Conf. on Special Interest Group on Data Communication, (SIGCOMM '15), pp. 479-491, London (UK), DOI: 10.1145/2785956.2787483, 2015.
[4] J. Elliott: Telemetry helps Formula SAE team close the loop on design. SAE International, http://articles.sae.org/11264/, 07 Aug 2012.
[5] P. Primiceri, P. Visconti, A. Melpignano, A. Vilei. G. M. Colleoni: Hardware and software solution developed in ARM mbed environment for driving and controlling DC brushless motors based on ST X-NUCLEO development boards. International Journal on Smart Sensing and Intelligent Systems, Vol. 9 (3), pp.1534–1562, Sept. 2016.
[6] P. Visconti, R.de Fazio, P. Primiceri, A. Lay-Ekuakille: A solar-powered White LED based UV-VIS spectrophotometric system managed by PC for air pollution detection in faraway and unfriendly locations. International Journal on Smart Sensing and Intelligent Systems, Vol. 10 (1), pp. 18 - 48, (2017).
[7] P. Visconti, R. Ria, G. Cavalera: Development of smart PIC-based electronic equipment for managing and monitoring energy production of photovoltaic plan with wireless transmission unit. ARPN Journal of Engineering and Applied Sciences. Vol. 10 (20), pp. 9434 – 9441 (2015).
[8] P.Visconti, P. Primiceri, P.Costantini, G.Colangelo, G. Cavalera: Measurement and control system for thermo-solar plant and performance comparison between traditional and nanofluid solar thermal collectors”; Int. Journal on Smart Sensing and Intelligent Systems, Vol. 9 (Issue 3), pp. 1220 – 1242,
http://s2is.org/Issues/v9/n3/papers/paper3.pdf (2016).
[9] P. Visconti, G. Giannotta, R. Brama, P. Primiceri, A. Malvasi: Features, operation principle and limits of SPI and I2C communication protocols for smart objects: a novel SPI-based hybrid protocol especially suitable for IoT applications. International Journal on Smart Sensing and Intelligent Systems, Vol. 10 (2), pp. 262 - 295, (2017). 825
[10] P. Visconti, P. Primiceri, G. Cavalera: Wireless monitoring system of household electrical consumption with DALY-based control unit of lighting facilities remotely controlled by Internet. J.ofCommunications Software and Systems,Vol.12 (1),pp.4– 15, (2016).
[11] P. Visconti, P. Primiceri, C. Orlando: Solar Powered Wireless Monitoring System of Environmental Conditions for Early Flood Prediction or Optimized Irrigation in Agriculture. ARPN Journal of Engineering and Applied Sciences, Vol. 11 (Issue 7), pp. 4623-4632, (2016)
[12] P. Visconti, A. Lay-Ekuakille, P. Primiceri, G. Cavalera: Wireless Energy Monitoring System of Photovoltaic Plants with Smart Anti-Theft solution integrated with Household Electrical Consumption’s Control Unit Remotely Controlled by Internet. International Journal on Smart Sensing and Intelligent Systems, Vol. 9 (Issue 2), pp. 681 – 708 (June 2016).
[13] CAEMAX imc group, Dx: Digital Multi-Channel Telemetry System, Technical Data Sheet 1.6, Feb. 2017 -Available Online: http://www.caemax.de/en/products/telemetry/dx/.
[14] KTM Kraus Messtechnik GmbH, Telemetry for Automotive Testing - [Online]. Available: http://www.kmt-telemetry.com/applications-measurement/automotive/
[15] KTM - Kraus Messtechnik GmbH, Telemetry, CT4/8 –Wheel / Rotate - 4 (8) Channel Wheel Telemetry System, Datasheet Version 2015, 12. Available online: http://www.kmt-telemetry.com/fileadmin/media/Downloads/Rotating/CT4-8-Wheel-DS.pdf.
[16] Magneti Marelli S.p.A, Motorsport. Available online: http://www.magnetimarelli.com/business_areas/motorsport.
[17] Accumetrics, Inc., AT-5000 EasyApp, Battery Powered Rotor Telemetry System 2017, Datasheet Available online: http://www.accumetrix.com/contentStore/mktg/Accumetrix/PDF/Accumetrics_AT5000_Datasheet.pdf.
[18] ST Microelectronics, STM32 Nucleo-64, Datasheet ID 025838, Rev 8, pp. 1-5, 2016. http://www.st.com/content/ccc/resource/technical/document/data_brief/c8/3c/30/f7/d6/08/4a/26/DM00105918.pdf/files/DM00105918.pdf/jcr:content/translations/en.DM00105918.pdf.
[19] M.Santhosh Kumar, C.R. Balamurugan: Self - Propelled Safety System Using CAN Protocol-A Review. World Conference on Futuristic Trends in Research and Innovation for Social Welfare. Coimbatore (India), DOI: 10.1109/STARTUP.2016.7583899 (2016).
[20] P. Nawale, A. Vekhande, P. Waje: Vehicle Parameter Monitoring Using CAN Protocol. International Journal of Computer Science Trends and Technology (IJCST), Vol. 3 (1), pp. 46-49 (2015). 826
[21] R. M. Prasanth, S. Raja, L. Saranya: Vehicle Control Using CAN Protocol For Implementing the Intelligent Braking System (IBS). Int. Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.3 (3), pp. 7597-7605 (2014).
[22] SparkFun Electronics, CANBUS Shield DEV13262. Available online: https://www.sparkfun.com/products/13262.
[23] Gefran spa, PZ12 Rectilinear Displacement Transducer with Cylindrical Case, - [Online]. Available: https://gefran-online.com/pz12-rectilinear-displacement-transducer-with-cylindrical-case.html.
[24] Switches and Sensors (ZF) – Fromerly Cherry Switches, GS1001 – GS1002 SENSORS, Datasheet online: http://switches-sensors.zf.com/us/wp-content/uploads/sites/7/2012/05/GS1001-GS1002_Geartooth_Speed_Sensor_Datasheet_Letter.pdf.
[25] TDK InvenSense Inc., MPU-6000 and MPU-6050 Product Specification Revision 3.4, Document Number: PS-MPU-6000A-00, 08/19/2013. Available online: https://www.invensense.com/wp-content/uploads/2015/02/MPU-6000-Datasheet1.pdf.
[26] DORJI Applied Technologies, DRF1278F 20dBm LoRa Long Range RF Front-end Module V1.11, Revision 1.1, pp. 1-6, Aug. 2015. Available online: http://www.dorji.com/docs/data/DRF1278F.pdf.
[27] SEMTECH, Wireless, Sensing & Timing LoRa, SX1276/77/78/79 - 137 MHz to 1020 MHz Low Power Long Range Transceiver, Datasheet, Revision. 5 Aug. 2016. Available online: http://www.semtech.com/images/datasheet/sx1276_77_78_79.pdf.
[28] SEMTECH, Wireless, Sensing & Timing Products, AN1200.22 LoRa™ Modulation Basics, Appl. Note, Rev. 2 May 2015. Available online: http://www.semtech.com/images/datasheet/an1200.22.pdf.
[29] A. Augustin, J. Yi, T. Clausen, W.M. Townsley: A Study of LoRa: Long Range & Low Power Networks for the Internet of Things. Sensors, Vol. 16, pp 1466 (1-18), (2016).
[30] P.Visconti, P. Primiceri, G. Cavalera: Wireless Monitoring and Driving System of Household Facilities for Power Consumption Savings Remotely Controlled by Internet. IEEE Proc. of 2016 IEEE Workshop on Environmental, Energy and Structural Monitoring Systems, (EESMS), Bari (Italy), 13-14 June 2016, DOI: 10.1109/EESMS.2016.7504805, (2016).
[31] P. Primiceri, P. Visconti: Solar-powered LED-based Lighting Facilities: an Overview on Recent Technologies and Embedded IoT Devices to obtain Wireless Control, Energy 827 Savings and Quick Maintenance. ARPN Journal of Engineering and Applied Sciences, Vol. 12 (1), pp. 140-150, (2017).
[32] P. Visconti, A. Lay-Ekuakille, P. Primiceri, G. Ciccarese, R. De Fazio: Hardware Design and Software Development for a White LED-Based Experimental Spectrophotometer Managed by a Pic-Based Control System. IEEE Sensors Journal, Vol. 17 (8), pp. 2507 – 2515, (2017).
[33] D. Nakhaeinia, P. Payeur, A. Chávez-Aragón, A. M. Cretu, R. Laganière, R. Macknojia: Surface Following with an RGB-D Vision-Guided Robotic System for Automated and Rapid Vehicle Inspection. International Journal on Smart Sensing and Intelligent Systems, Vol. 9 (2), pp. 419 – 447, (2016).
[34] Y. Qiang, L. Chen, L. Hua, J. Gu, L. Ding, Y. Liu: Research on the Classification for Faults of Rolling Bearing Based on Multi-Weights Neural Network. International Journal on Smart Sensing and Intelligent Systems, Vol. 7 (3), pp. 1004 – 1023, (2014).
[35] S. K. Gharghan, R. Nordin, M. Ismail: Development and Validation of a Track Bicycle Instrument for Torque Measurement Using the Zigbee Wireless Sensor Network. International Journal on Smart Sensing and Intelligent Systems, Vol. 10 (1), pp. 124 – 145, (2017).
[36] S. H. Teay, C. Batunlu, A. Albarbar: Smart Sensing System for Enhancing the Reliability of Power Electronic Devices used in Wind Turbines. International Journal on Smart Sensing and Intelligent Systems, Vol. 10 (2), pp. 407–423, (2017).
[37] J. Renxia, Y. Hongguan, W. Li, C. Lihui: Errors of Manometric CO2 Sorption Experiments on Coal Caused by Accuracy of Pressure Sensor. International Journal on Smart Sensing and Intelligent Systems, Vol. 9 (2), pp. 468–490, (2016).
[38] C. Doyle, D. Riordan, J. Walsh: A Cost-Effective and Accurate Electrical Impedance Measurement Circuit Design for Sensors. International Journal on Smart Sensing and Intelligent Systems, Vol. 9 (2), pp. 509–525, (2016).