Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building

doi:10.3390/app11030935

	Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building
	Ge, Hangli 1; Peng, Xiaohui 2; Koshizuka, Noboru 1
刊名	APPLIED SCIENCES-BASEL
	2021-02-01
卷号	11 期号:3 页码:17
关键词	smart building Internet of Things (IoT) Markov Chain Monte Carlo (MCMC) ontology graph model
DOI	10.3390/app11030935
英文摘要	Smart building, one of IoT-based emerging applications is where energy-efficiency, human comfort, automation, security could be managed even better. However, at the current stage, a unified and practical framework for knowledge inference inside the smart building is still lacking. In this paper, we present a practical proposal of knowledge extraction on event-conjunction for automatic control in smart buildings. The proposal consists of a unified API design, ontology model, inference engine for knowledge extraction. Two types of models: finite state machine(FSMs) and bayesian network (BN) have been used for capturing the state transition and sensor data fusion. In particular, to solve the problem that the size of time interval observations between two correlated events was too small to be approximated for estimation, we utilized the Markov Chain Monte Carlo (MCMC) sampling method to optimize the sampling on time intervals. The proposal has been put into use in a real smart building environment. 78-days data collection of the light states and elevator states has been conducted for evaluation. Several events have been inferred in the evaluation, such as room occupancy, elevator moving, as well as the event conjunction of both. The inference on the users' waiting time of elevator-using revealed the potentials and effectiveness of the automatic control on the elevator.
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000614967700001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/16285]
专题	中国科学院计算技术研究所
通讯作者	Ge, Hangli
作者单位	1.Univ Tokyo, Interfac Initiat Informat Studies, Tokyo 1130033, Japan 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Ge, Hangli,Peng, Xiaohui,Koshizuka, Noboru. Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building[J]. APPLIED SCIENCES-BASEL,2021,11(3):17.
APA	Ge, Hangli,Peng, Xiaohui,&Koshizuka, Noboru.(2021).Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building.APPLIED SCIENCES-BASEL,11(3),17.
MLA	Ge, Hangli,et al."Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building".APPLIED SCIENCES-BASEL 11.3(2021):17.