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.
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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