arrow
Return

BIS-model: An explicit SysML-based modeling and analysis framework for smart building systems

delete2025-06-01
delete0
PRE
AI
D
Deshuai Han *
G
Guanglian Ma
Y
Yanping Cai
X
Xuewei Zhang
DOI:10.1016/j.jobe.2025.112411delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Smart building systems have recently achieved rapid development. However, a general software design framework for these systems is still lacking, due to their complexity in scale, structural intricacies, and multidisciplinary integration. To address this challenge, a framework called BuIlding Systems Modeling (BIS-Model) is proposed to enable systematic modeling, design, and behavior analysis of smart building systems. By extending SysML, BIS-Model introduces three types of modeling views: (1) a structure view called BIS-Block Definition Diagram that describes the complex system compositions, structure characteristics, and device properties of smart building systems; (2) a connection view called BIS-Internal Block Diagram that specifies device connections and interface properties of smart building systems; and (3) a behavior view called BIS-Sequence Diagram that specifies and analyzes the dynamic behaviors of smart building systems. Moreover, a support tool and roadmap are presented to integrate BIS-Model into each phase of smart building software development. The BIS-Model framework was empirically validated through a study using a real-world smart building system. The results demonstrate that BIS-Model enhances model quality by 45.17 % and reduces modeling time by 43.09 %, compared to the standard SysML, thereby significantly improving the design effectiveness and efficiency of smart building systems.
Keywords:
Smart building
System modeling
Behavior analysis
BIS-Model
SysML

Journal

Journal of Building Engineering cover
Journal of Building Engineering
IF:
7.4
Papers:
1.6W
Citations:
6.6W

Organization

A
Army Engn Univ PLA
Scholars:
157
Papers: 73
Citations: 20
R
Rocket Force Univ Engn
Scholars:
127
Papers: 53
Citations: 11