Adaptive Three-Dimensional Key Event Filtering Method for Complex Engineering Construction Management Systems
Abstract
— The paper addresses the problem of managing the construction of complex engineering facilities under continuously growing volumes of digital data generated by scheduling systems, ERP platforms, IIoT monitoring, construction equipment telemetry, and work progress accounting systems. Using the construction of Kursk NPP-2 as a case study, it is shown that existing project control methods, including the Critical Path Method (CPM), Earned Value Management (EVM), and conventional resource analysis, fail to provide comprehensive detection of critical deviations because they analyze schedule, cost, and resource parameters separately. A three-dimensional key-event filtering method is proposed, integrating deviations in schedule, cost, and resource availability into a unified operation state vector. To identify operations requiring managerial attention, an adaptive filtering threshold is introduced that automatically adjusts to the current deviation distribution within the project. The method was implemented and experimentally verified using 396 days of real construction data from Kursk NPP-2, comprising more than 1.2 billion monitoring records. The results demonstrate that the proposed approach reduces the volume of monitored operations by 92.9% while maintaining a 99.8% recall rate for detecting critical deviations in safety-class operations CSL 1–2.
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