Rule-based technical management for the dependable operation of networked building automation systems

Burkert, Malte; Volmer, Joe; Krumm, Heiko; Fiehe, Christoph

doi:10.23919/inm.2017.7987342

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) 2017

DOI: 10.23919/inm.2017.7987342

|View full text |Cite

Rule-based technical management for the dependable operation of networked building automation systems

Malte Burkert

Joe Volmer

Heiko Krumm

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems

Taboada-Orozco,

Yetongnon,

Nicolle

2024

Sensors

View full text Add to dashboard Cite

Buildings are complex structures composed of heterogeneous elements; these require building management systems (BMSs) to dynamically adapt them to occupants’ needs and leverage building resources. The fast growth of information and communication technologies (ICTs) has transformed the BMS field into a multidisciplinary one. Consequently, this has caused several research papers on data-driven solutions to require examination and classification. This paper provides a broad overview of BMS by conducting a systematic literature review (SLR) summarizing current trends in this field. Unlike similar reviews, this SLR provides a rigorous methodology to review current research from a computer science perspective. Therefore, our goal is four-fold: (i) Identify the main topics in the field of building; (ii) Identify the recent data-driven methods; (iii) Understand the BMS’s underlying computing architecture (iv) Understand the features of BMS that contribute to the smartization of buildings. The result synthesizes our findings and provides research directions for further research.

show abstract

Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems

Taboada-Orozco,

Yetongnon,

Nicolle

2024

Sensors

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Rule-based technical management for the dependable operation of networked building automation systems

Cited by 1 publication

References 10 publications

Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems

Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems

Contact Info

Product

Resources

About