A digital monitoring, delay detection and visualisation framework for construction projects: RealCONs

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Authors: Kambiz Radman, Mostafa Babaeian Jelodar, Ruggiero Lovreglio
Cited by: 1
References: 54

Abstract

Accurate and resilient monitoring of construction projects remains challenging due to fragmented reporting, data uncertainty and delayed system integration. This paper evaluates RealCONs, a QR-enabled real-time monitoring framework that integrates BIM, mobile scanning, cloud-based SQL storage, and Power BI analytics to support live project control. A 90-day comparative case analysis of two concurrent Electrical and Instrumentation projects benchmarked RealCONs against a conventional tracking system. Performance was assessed using Earned Value and Earned Schedule metrics, supported by Chi-square and two-proportion tests, confidence intervals, normality testing, regression forecasting, and non-parametric Wilcoxon and Mann–Whitney analyses. Data continuity strongly favoured RealCONs, with five missing earned-value days compared with 35 in the comparator project (χ 2 = 28.93, p < .001). Across 51 paired days, RealCONs achieved superior CPI (1.02 vs 0.90) and SPI (1.01 vs 0.89). During a delay event (Days 33–37), RealCONs maintained measurable progress and statistically significant SPI predictability, while the comparator recorded zero earned value. Overall, RealCONs enabled earlier delay detection, improved forecast reliability and scalable, real-time decision support aligned with Industry 4.0 objectives. • Validates a real-time tracking framework for major construction projects. • Integrates mobile QR, BIM, P6, cloud SQL, and Power BI for full visibility. • Shows significant gains in data continuity, EV, and ES metrics versus current systems. • Enables earlier delay detection using combined Earned Value and Earned Schedule. • Demonstrates a scalable, field-tested deployment that improves decision support.

Fields of Study & Subjects

BIM and Construction Integration Construction Project Management and Performance Occupational Health and Safety Research

Publication details

Journal / source
Automation in Construction
Publisher
Elsevier BV
Volume
183
Pages
106781–106781
Publication date
28 January 2026
Language
EN