METHOD OF MONITORING AND FORECASTING THE STATE OF INDIVIDUAL AGGREGATES AND COMPLEX PROCESS COMPLEXES USING SEMANTIC-ORIENTED ARTIFICIAL INTELLIGENCE Russian patent published in 2019 - IPC G05B23/00 G05B19/48 

Abstract RU 2698416 C1

FIELD: monitoring systems.

SUBSTANCE: invention relates to a method for remote monitoring and prediction of the state of individual units and complex technological systems. Method comprises collecting data on operation of units, which characterize indicators of process parameters of their operation, forming normal sampling of performance indicators, which characterizes standard operation of aggregates, which is placed as a standard in semantic-oriented artificial intelligence, providing possibility of set-theoretic comparison of digital and text data, obtaining current performance indicators of units, which form current sampling, to determine presence or absence of deviation of incoming values from reference sample values, signal is generated to report system deviation from reference state, state of individual aggregates is predicted at next time points, obtained values and states are used as control actions.

EFFECT: automated monitoring and prediction of state of complex process complexes.

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RU 2 698 416 C1

Authors

Lifshits Mikhail Valerevich

Dates

2019-08-26Published

2018-10-04Filed