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DEVELOPMENT OF INTELLIGENT SENSORS WITH METROLOGICAL SELF-CONTROL

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he paper presents the basic requirements for smart sensors, methods for implementing smart measuring tools. The principle of operation of sensors, their block diagram, the possibilities of storing information and the features of their operation and the advantages of using such sensors in an industrial automation system, namely in automated process control systems, are given. When designing smart sensors, the possibility of compensating for the influencing parameters of the controlled system, which is not stable within acceptable limits, should be taken into account and should include the ability to work with various input sensors. Smart sensors should spend as little time as possible on their calibration. The auto-calibration structure for smart sensors should fine-tune parameters such as offset, gain change, etc. with high accuracy. The proposed smart sensor can adapt to operating conditions and continuously adjust its operation in order to achieve maximum efficiency. The modern Proposed intelligent sensor processes data not only of the output signal, but also of additional parameters of the primary converter, which allows continuous diagnostics, fault tracking and drawing conclusions about the reliability of measurements. The diagnostics include monitoring the stability of the object and the state of the sensor, as well as tracking a signal that is too weak, warning of the danger of a complete sensor failure. The structure of the intelligence of intelligent converters is considered, including the functions of decision-making, recognition and rejection of signals, as well as the functions of normalization and signal correction. An algorithm for correcting and compensating signals developed on the basis of TEDS (Transducer Electronic Data Sheet) technology is proposed, which includes studying the form of measurement errors, introducing the form of errors into this algorithm and storing corrective information for this sensor.

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# knowledge# measurement# intelligent sensors# microcontroller# intelligent converters# signal correction# self-diagnosis# signal compensation

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