AI POWERED PLATFORM TO IMPROVE THE MAINTENANCE OF BUILDINGS
DIGITMAN will develop a predictive approach, based on occupancy data integrated into a common digital framework, to improve building stocks management by supporting the correct allocation of technical and economic resources during the real operation of buildings. In particular, DIGITMAN will involve maintenance, operation and safety in large building stocks focusing on pilots applications related to universities as relevant public buildings
DIGITMAN has been founded by The Italian Ministry of University and Reseach (MUR) within the PRIN: PROGETTI DI RICERCA DI RILEVANTE INTERESSE NAZIONALE – Bando 2022 – grant number: 2022JMRX2A, and within the NextGenerationEU programme (Mission 4 – Research and Education)
The project started in September 2023 and will end in February 2026
DIGITMAN involves partners from three italian University: the “Università Politecnica delle Marche“, Ancona, acting as project leader, principal investigator prof. Marco D’Orazio; the “Università degli Studi di Bologna“, local coordinator prof. Riccardo Gulli; the “Politecnico di Milano“, local coordinator prof. Graziano Salvalai.
…but thus their results are fully available online now! Key achievements include: 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 …
📅 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, …
🏢 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 …
For project information, please contact: postmaster@digitman-project-net
To book a demonstration or testing session of the prototype, please contact prototype.demonstration@digitman-project.net by using “PROTOTYPE DEMO REQUEST” in the mail subject line. Please provide full contacts in your mail, so that the DIGITMAN staff can contact you as soon as possibile.
See the privacy policy statements here