Rule-based generation of HVAC duct routing

被引:10
|
作者
Chen, Zhisen [1 ]
Guan, Hang [1 ]
Yuan, Xiaolei [1 ]
Xie, Tian [2 ]
Xu, Peng [1 ]
机构
[1] Tongji Univ, Sch Mech Engn, Shanghai, Peoples R China
[2] Chongqing Univ, Sch Civil Engn, Chongqing, Peoples R China
关键词
Duct routing; Automation; Traversal algorithm; Optimization; Fast resistance calculation; Obstacle avoidance; STEINER MINIMAL TREE; PIPE; ALGORITHM;
D O I
10.1016/j.autcon.2022.104264
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Traditional manual duct design can result in fan energy waste due to ducts network imbalance and human design error. This paper aims to develop an automated duct routing method, which is able to connect air diffusers across space with the consideration of duct pressure balance, construction obstacles, air resistance reduction and minimising construction costs. Treating air diffusers as nodal connections of a graph, the method uses a rulebased traversal algorithm (RBTA) and a fast resistance calculation model (FRCM) to generate the duct network. The methodology is tested on six different building layouts for the automatic design of ducts in a room and the results meet designer's requirements. Compared with the traditional manually designed duct network, the new duct network is more balanced and costs less. The automated approach cuts design time by more than ten folds and avoid human mistake and error in the traditional design process.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Rule-based generation of HVAC duct routing
    Chen, Zhisen
    Guan, Hang
    Yuan, Xiaolei
    Xie, Tian
    Xu, Peng
    Automation in Construction, 2022, 139
  • [2] Realization of rule-based automated design for HVAC duct layout
    Liang, Ruobing
    Wang, Changxiao
    Wang, Peng
    Yoon, Sungmin
    JOURNAL OF BUILDING ENGINEERING, 2023, 80
  • [3] Modeling Rule-Based Item Generation
    Hanneke Geerlings
    Cees A. W. Glas
    Wim J. van der Linden
    Psychometrika, 2011, 76
  • [4] Modeling Rule-Based Item Generation
    Geerlings, Hanneke
    Glas, Cees A. W.
    van der Linden, Wim J.
    PSYCHOMETRIKA, 2011, 76 (02) : 337 - 359
  • [5] Hierarchical rule-based fault detection and diagnostic method for HVAC systems
    Schein, J
    Bushby, ST
    HVAC&R RESEARCH, 2006, 12 (01): : 111 - 125
  • [6] Pattern Recognition and Classification of HVAC Rule-Based Faults in Commercial Buildings
    Littooy, Bradford
    Loire, Sophie
    Georgescu, Michael
    Mezic, Igor
    2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2016, : 1412 - 1421
  • [7] An experimental study of rule-based fault detection algorithms in a HVAC system
    Yang, Hooncheul
    Cho, Soo
    Tae, Choon-Seob
    PROCEEDINGS OF THE 3RD ASIAN CONFERENCE ON REFRIGERATION AND AIR-CONDITIONING VOLS I AND II, 2006, : 863 - +
  • [8] EVALUATION OF ASSOCATION RULE-BASED ROUTING PROTOCOL FOR OPPNET
    Dalal, Renu
    Khari, Manju
    Kumar, Aakash
    Sharma, Deepak K.
    MECHATRONIC SYSTEMS AND CONTROL, 2022, 50 (02): : 74 - 80
  • [9] Counterfactual rule generation for fuzzy rule-based classification systems
    Zhang, Te
    Wagner, Christian
    Garibaldi, Jonathan. M.
    2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2022,
  • [10] Rule-based generation of requirements traceability relations
    Spanoudakis, G
    Zisman, A
    Pérez-Miñana, E
    Krause, P
    JOURNAL OF SYSTEMS AND SOFTWARE, 2004, 72 (02) : 105 - 127