To reach the proposed scope, DIGITMAN has been organized comprising three main research steps.
The first step comprises the development of the conceptual model for the common digital framework and its related database, based on existing data, to be applied to pilots and considering the pillar-specific issues (WP1).
The second step comprises the development of predictive methods considering occupant-based evaluations, for maintenance (WP2), operation (WP3) and safety (WP4) tasks, in a separate manner, to hence support automation of facility manager’s daily activities and prediction of impact of future conditions depending on new occupancy scenarios, thanks to pillar-specific analytics
The third step comprises the development of a multicriterial approach to link the predictive-based analytics of the three pillars, and of a prototype tool to merge the different evaluations, considering the needs of building managers (daily management and probabilistic-based future predictions based on different probabilistic occupancy scenarios-WP5)
Research activities have been organized in WPs comprising one or more Tasks.
WP1-CONCEPTUAL MODELLING OF THE DIGITAL FRAMEWORK AND RELATED DATABASE DEFINITION
D1.1 – definition of an occupant-centric conceptual framework and correlation methodology
type: report; involved tasks: T1.1
Abstract: This deliverable outlines the foundational groundwork of the DIGITMAN project and establishes a strategic framework for an occupant-centric approach within digital building management. The document begins by delineating the scope of the research project, focusing on occupancy-based management strategies and identifying pertinent areas of interest. It then outlines a framework that details the logic and functionalities to be developed as project outcomes, followed by defining the ontology and semantics of relevant information pertaining to building management. Finally, the methodology for modeling building information is illustrated, and the pilot buildings chosen to demonstrate the project’s methodology are presented.
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D1.2 – integrated structuring of a common database
type: report; involved tasks: T1.2
Abstract: This deliverable presents the integrated approach for structuring the DIGITMAN project’s common database. It establishes the foundational data structures supporting the project’s objectives. The document first outlines the system architecture and the methodologies chosen for creating and managing the database. Then, it provides detailed reports to document the classification systems adopted for organically mapping maintenance activities, functional types of spaces, and equipment devices within the database. These classification systems align coherently with the different datasets from the partner institutions. Finally, the document reports the property sets and quantities used to assign data to the DIGITMAN database elements. They are based on a shared notation aligned with the partner’s datasets and international standards and schemas.
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D1.3 – Data acquisition methodology
type: report + database; involved tasks: T1.3
Abstract: This deliverable reports on the data acquired and structured to build the knowledge base of the DIGITMAN project, encompassing an array of databases and models useful for the project’s purposes. The document details the creation of tables that synthesize building data from partner institutions’ buildings, structured in integrated relational and graph databases for consistency and ease of querying. In particular, the static elements and related semantic data are stored within a graph database, maintenance textual logs are deposited within a MySQL database, and sensors’ observation are store into JSON documents. Finally, the deliverable provides the building information models developed for three significant buildings within the sample analyzed. These models are stored in formats compatible with industry-standard software such as Autodesk Revit, Industry Foundation Classes (IFC), and Topologic JSON files.
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WP2-MAINTENANCE PREDICTIVE MODULE DEVELOPMENT
D2.1 – KPIs and predictive methods for maintenance tasks
type: report ; involved tasks: T2.1, 2.2, 2.3
Abstract: ongoing work
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WP3-OPERATION PREDICTIVE MODULE DEVELOPMENT
D3.1 – KPIs and predictive methods for operation tasks
type: report ; involved tasks: T3.1, 3.2, 3.3
Abstract: ongoing work
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WP4-SAFETY PREDICTIVE MODULE DEVELOPMENT
D4.1 – KPIs and predictive methods for safety tasks
type: report ; involved tasks: T4.1, 4.2, 4.3
Abstract: ongoing work
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WP5-SYSTEMATIZATION, TOOL DEVELOPMENT AND DEMONSTRATION
D5.1 – Multicriteria analysis methods description
type: report ; involved tasks: T5.1
Abstract: ongoing work
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D5.2 – Development of a comprehensive prototpe tool and user guide for building managers
type: tools + manual (report); involved tasks: T5.2
Abstract: ongoing work
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D5.3 – Application of the prototype tool on an exemplary case study
type: report; involved tasks: T5.3
Abstract: ongoing work
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