Measurement platform for generating and acquiring signals from sensors -application scenarios
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Czech Institute of Academic Education z.s.
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Modern measurement systems are particularly well suited to the trend of digital economy
development. Microelectromechanical systems (MEMS) play an important role here. They
constitute an alternative in the design and implementation of measurement tasks, offering a wide
range of applications. MEMS sensors make it possible to create flexible measurement systems.
These features, combined with low weight and low power consumption, make them attractive for
use in a variety of scenarios, such as process control, robotics, biomechanics, and the automotive,
marine, aerospace and space industries. In this elaboration, the Objectives and Key Results (OKR)
method was applied, which is recognised by experts worldwide. The main goal of this work is to
present the results obtained using a measurement platform for generating and acquiring signals
from sensors, as well as to present potential application scenarios. The solution was based on the
graphical environment Laboratory Virtual Instrument Engineering Workbench (LabVIEW). To
achieve the main goal, sensors with different frequency characteristics were adopted. The
elaboration of this topic has shown that the measurement platform is highly versatile, allowing the
characteristic properties of the sensors to be presented. The interface of the measurement platform
provides signal modification, acquisition and graphical visualisation. With regard to the sensors
employed, attention was paid to the characteristics of their signals, including their advantages and
limitations. The authors highlight potential engineering and technological application scenarios
that are important from the perspective of the digital economy. The elaboration was prepared
under the research subvention of the AGH University of Krakow, No. 16.16.150.545 in 2025.
Citación
Kampczyk, Arkadiusz & Witek, Milan & Berbey-Alvarez, Aranzazu. (2025). Measurement Platform for Generating and Acquiring Signals from Sensors -Application Scenarios.
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