A Blockchain-Integrated IoT–BIM Platform for Real-Time Carbon Monitoring in Modular Integrated Construction

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:The platform architecture and validation methodology offer a replicable framework for integrating IoT, BIM, and blockchain in carbon monitoring research.

🏢実務担当者:Construction firms can adopt BIBP for real-time carbon tracking, improving transparency and efficiency in meeting sustainability targets and disclosure obligations.

🏛政策担当者:The demonstrated 92.4% efficiency gain and 20%+ carbon savings support policies promoting digitalization and low-carbon materials in construction.

Modular integrated construction (MiC) is an innovative construction method that shifts on-site activities to a controlled factory environment, thereby offering sustainability benefits. However, current carbon management relies on labor-intensive manual data collection, causing delayed and inaccurate carbon accounting that increases greenwashing risks. Existing approaches lack real-time, automated, and trustworthy carbon tracking capabilities across fragmented supply chains. This study develops and validates the Blockchain-enabled IoT-BIM Platform (BIBP), which combines Internet of Things (IoT), Building Information Modeling (BIM), and blockchain for real-time carbon monitoring. IoT sensors automate data capture from construction equipment and BIM provides spatial visualization of carbon at the module and building levels. A Hyperledger Fabric blockchain ensures the authenticity, immutability, and traceability of carbon records. Validated on a 15-story MiC project in Hong Kong, BIBP established a cradle-to-end-of-construction baseline of 949.84 kgCO2e/m2, identifying steel and concrete as the primary hotspots (80% of material emissions). Real-time analytics demonstrated that combining high-volume ground granulated blast furnace slag (GGBS) concrete substitution, new energy sea–land multimodal transport, and 10% steel waste reduction achieves over 20% carbon savings. Furthermore, the BIBP automated data acquisition and calculation, improving assessment efficiency by 92.4%. The platform demonstrates the potential to transform carbon management from a static, retrospective evaluation into a proactive, data-driven monitoring process, equipping stakeholders with a tool to dynamically track emissions and make timely interventions toward carbon reduction targets.

• semanticscholar https://doi.org/10.3390/buildings16081587first seen 2026-06-23 06:09:50