Modification of the information process model for remote monitoring of object condition based on heterogeneous data sources

Abstract. The paper proposes a modification of the information process model for remote monitoring of object condition aimed at improving the correctness of result interpretation under conditions of heterogeneous data sources, different measurement frequencies, data transmission delays, and incomplete observations. The objective of the study is to extend the original model by incorporating additional stages and mechanisms that ensure data quality control, temporal alignment of data streams, robustness of notifications, and reproducibility of the obtained assessments. The research methods include structural and functional decomposition of the information process and formalization of data processing principles at each added stage. The proposed modification introduces: an object profile serving as a context for parameter interpretation and a mechanism for unambiguous assignment of measurements to a specific object; temporal synchronization of data streams based on window processing; a data quality control loop with validity labeling and anomaly detection; a confidence indicator for state assessment considering the completeness and quality of observations; event-based interpretation of results; robust notification mechanisms based on an extended threshold model with hysteresis and message rate limiting; explainable inference tools identifying the parameters that influenced the assigned status; and traceability of results through logging of input data, interpretation rules, and output assessments. As a result, a refined structure of the information process has been developed, enabling state assessment that accounts for the quality and consistency of input data and ensuring stable delivery of results to the monitoring subject.

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