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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Information Conversion in Measuring Channels with Optoelectronic Sensors.

Vasyl V Kukharchuk1, Sergii V Pavlov2, Volodymyr S Holodiuk1

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This study identifies key information transformation phases in microprocessor-controlled optical measurement channels. Understanding these phases aids in optimizing measurement channel design and performance.

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Area of Science:

  • Measurement Science
  • Information Theory
  • Optical Engineering

Background:

  • Measurement channels are crucial for data acquisition.
  • Microprocessor control enhances measurement accuracy and efficiency.
  • Optical sensors are widely used in various measurement applications.

Purpose of the Study:

  • To identify and analyze the main phases of information transformation in optical measurement channels with microprocessor control.
  • To establish analytical methods for characterizing these channels.
  • To estimate the information content within measurement channels.

Main Methods:

  • Hardware implementation and analytical representation of sensor and converter functions.
  • Experimental computer science methods to deduce converting functions and sensitivity.
  • Information theory principles, using entropy to quantify information before and after measurement.

Main Results:

  • Analytical dependencies for estimating measurement ranges were obtained.
  • The type of information transmission significantly impacts measurement channel speed.
  • The amount of information in optoelectronic sensor-based channels was estimated using entropy.

Conclusions:

  • The study provides a framework for assessing metrological characteristics at the design stage.
  • Results facilitate physical and mathematical modeling for hardware and software development.
  • The findings support the standardization of metrological characteristics for measurement channels.