Authors:
Hoffner Yigal
;
Kaufman Eran
;
Avidan Amir
;
Elad Yovel
and
Fogel Harel
Affiliation:
AI research center, Shenkar College, Israel
Keyword(s):
Smart Home Automation, Internet of Things (IoT), Rule-Based Smart Home Management, Learning System.
Abstract:
Using rules for home automation presents several challenges, especially when considering multiple stakeholders in addition to residents, such as homeowners, local authorities, energy suppliers, and system providers, who will wish to contribute rules to safeguard their interests. Managing rules from various sources requires a structured procedure, a relevant policy, and a designated authority to ensure authorized and correct contributions and address potential conflicts. In addition, the smart home rule language needs to express conditions and decisions at a high level of abstraction without specifying implementation details such as interfaces, access protocols, and room layout. Decoupling high-level decisions from these details supports the transferability and adaptability of rules to similar homes. This separation also has important implications for structuring the smart home system and the security architecture. Our proposed approach and system implementation introduce a rule manag
ement process, a rule administrator, and a domain-specific rule language to address these challenges. In addition, the system provides a learning process that observes residents, detects behavior patterns, and derives rules, which are then presented as recommendations to the system.
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