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Virtual sensors for use in information measurement systems

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Measurement Techniques Aims and scope

A model of a virtual sensory system consisting of a set of physical and virtual sensors and a supervisor is presented. Levels of the hierarchy for each type of sensor are considered. At the physical level of integration, a uniform interface is provided along with access to specific devices, while at the virtual level data are provided for the upper level and the supervisor.

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References

  1. T. C. Henderson and E. Shilcrat, “Logical sensor systems,” J. Robotic Systems, No. 3, 169–193 (1984).

  2. T. C. Henderson, C. Hansen, and B. Bhanu, “The specification of distributed sensing and control,” J. Robotic Systems, No. 3, 387–396 (1985).

    Google Scholar 

  3. M. Erdmann, “Understanding action and sensing by designing action-based sensors,” Int. J. Robotics Research, 14, No. 5, 483–509 (1995).

    Article  Google Scholar 

  4. H. R. Nicholls, J. J. Rowland, and K. A. I. Sharp, “Virtual devices and intelligent gripper control in robotics,” Robotica, 7, No. 3, 199–204 (1989).

    Article  Google Scholar 

  5. J. J. Rowland and H. R. Nicholls, “A virtual sensor implementation for an assembly machine,” Robotica, 13, No. 4, 195–199 (1995).

    Article  Google Scholar 

  6. N. D. Duffy, J. T. Herd, and H. J. Eccles, “Agents get framed in novel architecture,” Industr. Robot, 18, No. 2, 23–26 (1991).

    Article  Google Scholar 

  7. M. Minsk, The Society of Mind, London (1988).

  8. N. Hardy and A. A. Maroon, “VISIAr – A virtual sensor integration architecture,” Robotica, 17, No. 5, 635–647 (1999).

    Article  Google Scholar 

  9. M. Dekhil and T. C. Henderson, “Instrumented sensor system architecture,” Int. J. Robotics Research, 17, No. 4, 402–417 (1998).

    Article  Google Scholar 

  10. T. A. Wenzel et al., “Kalman filter as a virtual sensor applied to automotive stability systems,” Trans. Institute Measure and Control, 29, No. 2, 95–115 (2007).

    Article  Google Scholar 

  11. A. G. Topekhin, “Use of an adaptive Kalman filter in problems of orientation of mobile objects,” Inform.-Izmer. Upravl. Sistemy, 4, No. 1–3, 63–66 (2006).

    Google Scholar 

  12. A. A. Kirilchenko and A. A. Petrin, “The property of virtuality in information robot engineering systems,” Preprint No. 41, Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow (2003).

  13. A. A. Petrin, “Organization of virtual sensitization for problems of robot engineering,” Preprint No. 42, Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow (2003).

  14. A. V. Akhterov et al., “Implementation of the conception of virtual sensors in information-measurement systems,” Inform.-Izmer. Upravl. Sistemy, 7, No. 6, 72–76 (2009).

    Google Scholar 

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Correspondence to A. A. Petrin.

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Translated from Izmeritel’naya Tekhnika, No. 9, pp. 17–21, September, 2010.

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Petrin, A.A. Virtual sensors for use in information measurement systems. Meas Tech 53, 964–969 (2010). https://doi.org/10.1007/s11018-010-9605-8

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  • DOI: https://doi.org/10.1007/s11018-010-9605-8

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