English

Towards a reliable approach on scaling in data acquisition

Signal Processing 2019-12-03 v1

Abstract

Data acquisition is an important process in the functioning of any control system. Usually, the acquired signal is analogic, representing a continuous physical measure, and it should be processed in a digital system based on an analog to digital converter (ADC) and a microcontroller. The ADC provides the converted value in ADC units, but the system and its operator need the value expressed in physical units. In this paper we propose a novel design solution for the scaling module, which is a key component of a digital measurement system. The scaling module refers to fitting the sensor result of a variable number of bits depending on the ADC resolution into physical units. A general method for scaling is proposed and a SageMath script is presented for obtaining easily the scaling function. In the last part of the paper, the proposed method is validated in a case study, by calculus, and it is implemented on a low-cost development system in order to create a wireless sensor node.

Keywords

Cite

@article{arxiv.1909.02447,
  title  = {Towards a reliable approach on scaling in data acquisition},
  author = {Nicolae Paraschiv and Emil Pricop and Jaouhar Fattahi and Florin Zamfir},
  journal= {arXiv preprint arXiv:1909.02447},
  year   = {2019}
}

Comments

Paper accepted for ICSTCC 2019 - 23rd International Conference on System Theory, Control and Computing, October 9-11, 2019, Sinaia, Romania

R2 v1 2026-06-23T11:06:51.148Z