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…but thus their results are fully available online now!

Key achievements include: 

• Development of an occupant-centric conceptual framework and interoperable data infrastructure. 
• Implementation of predictive modules for maintenance (natural language processing and machine learning for ticket prioritization), operation (energy and Indoor Enrivonmental Quality optimization), and safety (BIM-based fire safety and evacuation analysis). 
• Integration of predictive outputs into a multicriteria decision-support framework. 
• Creation of a prototype software tool based on microservices and BI dashboards, accessible to both technical and non-technical users. 
• Validation of the prototype on the estates of POLIMI and UNIVPM, demonstrating robustness, scalability, and transferability.

DIGITMAN met the objectives declared in the proposal, producing not only scientific advances but also a validated, user-oriented tool that can support universities and public administrations in achieving more efficient, sustainable, and occupant-centric building management. 

Take a look at Results – DIGITMAN to have an overview of all the gained results in terms of deliverables and click here to book a demonstration and testing session … but before take a look to the following videos to explore them quickly!

📅 Today, an interesting online dissemination event of the DIGITMAN (www.digitman.net) took place online to show and discuss fresults with acility managers and stakeholders from different universities.

👷‍♂️ The event provided an overview of the project, and a detailed description of the services and tools for decision makers’ support in public buildings and large organisations, considering the pillars of operation, maintenance and safety

🖥️ In particular, the DIGITMAN preliminary results concerned on the ongoing status of the decision-making platform, including its modelling and analysis tools, and its specific microservices in “how-to” and “what-if” standpoints for the three facility pillars

🤝 A final discussion session with stakeholders explored the capabilities of DIGITMAN solutions with respect to critical issues in the project pillars

🏢 Building maintenance requests highly affect the building “health status” and thus the perception of quality conditions in buildings data, including issues related to workers’ satisfaction, well-being and possible stress levels

🕵‍♀️ A novel methodology provided by DIGITMAN is based on CMMS (Computer Management Maintenance Systems) and uses indexes to measure both the quantity and the perceived quality of maintenance interventions, through text mining, sentiment and emotion analysis, lexical diversity indices.

👷 The methodology successfully identifies maintenance issues in buildings and highlights differences in perception between workers’ typologies.

❗ Results provide valuable insights for facility managers and organizations, enabling better-informed decisions on maintenance priorities based on both objective data and workers’ feedback.


📑 This innovative data-driven approach, developed by the UNIVPM researchers at DICEA, has been recently published in Journal of Information Technology in Construction – ISSN 1874-4753, in open access, at: 2025_27-ITcon-DOrazio.pdf

DIGITMAN is ongoing! First deliverables will be published soon according to the overall Gantt of the project!