Adam Kučera

Intelligent Facility Management for Sustainability and Risk Management

Building construction has gone through substantial change with the emerging spread of ICT during last decades. In the field of construction industry, the term intelligent buildings describes facilities equipped with devices and systems that can be remotely controlled and programmed and that are able to communicate and collaborate in order to ensure convenient building environment and effective operation. However, installing devices with such capabilities is only one part of the task of effective facility management and risk management. Facility managers have to be provided with tools that allow them to inspect and analyze gathered building operational data and make decisions to improve building performance. Decision support tools for facility managers usually lack deep integration with building systems. This article aims on technical aspects of providing data from intelligent buildings to the responsible personnel in order to help them to operate the building effectively with emphasis on its energy consumption and risk management.

Semantic BMS: Ontology for Analysis of Building Automation Systems Data

Building construction has gone through significant change with the emerging spread of ICT during last decades. “Intelligent buildings” are equipped with building automation systems (BAS) that can be remotely controlled and programmed and that are able to communicate and collaborate. However, BAS aim to facilitate operation of the building and do not provide sufficient support for strategic level decision support. This article presents adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The Semantic BMS ontology enriches the SSN with model of building automation datapoints that gather operation data and describe the interconnections between BAS devices, algorithms and influenced or monitored properties of a building. Proposed ontology allows facility managers to query BAS systems in a way that is convenient for tactical and strategic level planning and that is unavailable in current state of the art systems.

Smart buildings: Semantic web technology for building information model and building management system

Smart Building is a trend towards the Buildings Automation paradigm. Smart Building aims to autonomously control devices and systems in given environment. These devices and systems are nevertheless supervised by facility management. The facility management normally is aided by heterogeneous systems and applications. Due to multifarious data of the systems, applications, and missing integration of data in building automation, the data is manually collected by facility management, for analysis and decision making. Therefore, such a system is required to integrate the multi-form data of various systems and applications. Hence, Semantic Web technology is proposed in this paper to integrate data and to implement front end. Therefore, Semantic Web technology not only provide base for analysis and decision making for facility management, but also facilitate developers to focus on front-end of application. The aim is to structure the data, where active devices cannot only be located in a building but also identify according to its connected systems and subsystems. This also supports and maintains historical data for future analysis.

Fault detection in building management system networks

Abstract Building management systems that integrates control and monitoring of building operation are common in modern (“intelligent”) buildings. With the increasing size of the building management system size, its management becomes complex task consisting of configuration management, fault detection and prevention, performance monitoring and auditing of user actions. In large building complexes detecting faults in BMS becomes difficult and time consuming for human operators. Faults that remain undetected in the system for long time periods can cause increased operation costs or prevent reliable analysis of building operation. Some of the issues of large BMS can be resolved by use of existing network management tools or development of specific software that automatically detects faults in the system. The aim of this article is to present experience with management of large BMS at University Campus in Brno-Bohunice and to propose algorithms and techniques for detection of specific types of faults.

Semantic BMS: Allowing usage of building automation data in facility benchmarking

Abstract Facility benchmarking and evaluation of facility performance are the crucial tasks in reaching efficient, economical and sustainable facility operation. Modern buildings are equipped with building automation systems (BAS) that contain vast numbers of various sensors that can be utilised in performance assessment. However, such systems lack convenient tools for data inspection, which limits their use in building performance and efficiency analysis and benchmarking especially on large sites. The paper presents a middleware layer designed to enrich BAS data with additional semantic information. As a semantic model, an adaptation of the Semantic Sensor Network (SSN) ontology for the field of building operation analysis is used. The middleware provides convenient interfaces for querying the model. The proposed system provides the facility managers with a convenient way to use the BAS data for benchmarking and decision support.

Semantic BMS: Ontology for Analysis of Building Operation Efficiency

Building construction has gone through a significant change with the emerging spread of ICT during last decades. Intelligent buildings are equipped with building automation systems (BAS) that can be remotely controlled and programmed. However, such systems lack convenient tools for data inspection, making building performance and efficiency analysis demanding on large sites. The paper presents an adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The proposed Semantic BMS ontology enriches the SSN with a model of building automation data points and describes relations between BAS and physical properties of a building. Proposed ontology allows facility managers to conveniently query BAS systems, providing decision support for tactical and strategic level planning.

Smart Building: SemanticWeb Technology Services for BIM (Location and Device Information)

Smart Building aims to autonomously control devices and systems in given environment. These application systems are nevertheless supervised by facility management. The facility management normally is aided by heterogeneous application systems. Due to multifarious data of the systems, applications, and missing integration of data in building automation, the data is manually collected by facility management, for analysis and decision making. Therefore, such a system is required to integrate the multi-form data of various systems and applications. Hence, Semantic Web technology is proposed in this paper to integrate data and to implement front end. Therefore, Semantic Web technology not only provide base for analysis and decision making for facility management, but also facilitate developers to focus on front-end application. The aim is to structure the data, where active devices cannot only be located in a building but also identify according to its connected systems and subsystems.