Towards systems architecture for building operation analysis in
large-scale environments
Adam Kučera

}Introduction & Motivation – Facility Management systems
}Problem – BMS data analysis
}Methods & Areas of research
}Results
}Conclusions

Introduction
}Facility management systems


Facility management
}According to IFMA (International Facility management association): „a profession that encompasses
multiple disciplines to ensure functionality of the built environment by integrating people, place,
process and technology“
}FM ensures tasks, which are not part of organization‘s „core business“

CAFM(Computer-Aided Facility Management)
}CAFM software supports:
}Space management
}Maintenance
}Energy management
}Provides advanced analytical tools
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BIM (Building Infrastructure Modelling)
}Database of building constructions and devices
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BMS (Building management system)
}Monitors and controls building automation systems
}MU has large BMS (40 buildings, 1000 devices,...)
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Motivation
}Facility manager should be able to query the BMS system in similar manner to those examples:
}Show me which rooms on the second floor of A11 building had running AC units during last 8
weekends.
}Tomorrow morning, I want to receive report about electricity consumption in 5 minute intervals for
those 4 buildings during this night.
}I want to know which devices influence temperature in office of Mr./Mrs. XY.
}For all buildings at University Campus, compare electricity consumption per square meter.
}

Problem
}Issues od building operation analysis


Issues of BMS
}Inaccessible data
}Missing semantics
}Inflexible built-in analytical features
}=>
}Advanced analytical tools are unavailable for large-scale environments
}Integration of BMS, BIM and CAFM does not exist
}

Two types of users
}BMS contain precise and detailed data about building operation
}Those data are not easily accessible
}Two kinds of people:
}Knows how to analyze data but can‘t get them (Facility managers)
}Knows how to get the data but can‘t analyze them (BMS operators)

Methods & Areas of research
}Steps towards flexible and efficient analysis


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Methods and areas of research
}Systems architecture
}Exposing the BMS data
}BMS data semantics
}BMS specific operators
}Query typology
}Query definition
}Visualization of results

Results
}Existing applications & tools, Work in progress


}Exposing data
}Technology data mart
}BMS API
}Integrating BMS&BIM
}Ontology repository
}Analysis & UI
}CEP engine
}Archive data browser
}Machine learning methods
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Results
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Tools are made without the support of ontology – repeating problems lead us to its development

Conclusions
}Benefits of proposed solution


Conclusion
}The main goal:
}Platform/Architecture for FM data processing
}Developers will focus on:
}Analytical methods
}Convenient user interfaces
}Facility managers will be provided with:
}Direct querying of the BMS
}Flexible reports
}Advanced analytical tools
}Incorporation of BMS data into CAFM
}
}
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Platform contains APIS, OLAP, ontology repository, guidlines for querying
Development of new applications will be reduced to fornt-end and analytical features (machine
learning,...)
Not many people understands all areas - BMS, GIS, AI
Incorporation of BMS data into decission support tools provided by CAFM

Thank You for your attention.
}Questions?