[1] Liu Ying, Wang Ruzhu, Li Yunfei, Zhang Xiaosong, et al. Construction and realization of the knowledge baseand inference engine of an IDSS model for air-conditioningcooling/heating sources selection [J]. Journal of Southeast University (English Edition), 2003, 19 (2): 136-141. [doi:10.3969/j.issn.1003-7985.2003.02.008]
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Construction and realization of the knowledge baseand inference engine of an IDSS model for air-conditioningcooling/heating sources selection(
)
空调冷热源选择智能决策支持系统 知识库与推理机的构造与实现
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 19
- Issue:
- 2003 2
- Page:
- 136-141
- Research Field:
- Automation
- Publishing date:
- 2003-06-30
Info
- Title:
- Construction and realization of the knowledge baseand inference engine of an IDSS model for air-conditioningcooling/heating sources selection
- 空调冷热源选择智能决策支持系统 知识库与推理机的构造与实现
- Author(s):
- Liu Ying1; Wang Ruzhu1; Li Yunfei1; Zhang Xiaosong2
-
1Institute of Refrigeration and Cryogenics, Shanghai Jiaotong University, Shanghai 200030, China
2Department of Power Engineering, Southeast University, Nanjing 210096, China
- Keywords:
- air-conditioning; cooling/heating sources; intelligent decision support system; knowledge base; inference engine
- PACS:
- TP182;TU831.2
- DOI:
- 10.3969/j.issn.1003-7985.2003.02.008
- Abstract:
- The knowledge representation mode and inference control strategy were analyzed according to the specialties of air-conditioning cooling/heating sources selection. The constructing idea and working procedure for knowledge base and inference engine were proposed while the realization technique of the C language was discussed. An intelligent decision support system(IDSS)model based on such knowledge representation and inference mechanism was developed by domain engineers. The model was verified to have a small kernel and powerful capability in list processing and data driving, which was successfully used in the design of a cooling/heating sources system for a large-sized office building.
- 根据空调冷热源方案选择的特点, 对面向该领域问题的知识表达方式和推理控制策略进行了分析, 提出了知识库和推理机的构造思想和工作过程, 探讨了C语言开发环境下的实现方法.采用领域工程师为主体的开发方式, 开发了一个基于此知识表达和推理机制的空调冷热源选择智能决策支持系统模型软件.经测试表明, 该软件具有内核小、表处理及数据驱动能力强的特点, 在某大型办公楼空调冷热源系统设计中获得了成功应用.
References:
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[2] Shams H, Nelson R M, Maxwell G M, et al. Development of a knowledge-based system for HVAC type selection [J]. ASHRAE Journal, 1995, 37(8):165-172.
[3] Shams H, Nelson R M, Maxwell G M, et al. Development of a knowledge-based system for HVAC type selection part 1: knowledge acquisition [J]. ASHRAE Transactions, 1994, 100(1): 203-210.
[4] Shams H, Nelson R M, Maxwell G M, et al. Development of a knowledge-based system for HVAC type selection part 2: expert system shell [J]. ASHRAE Transactions, 1994, 100(1):211-218.
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[9] Shi Jijian, Yu Ruizhao.Realizing technology of expert system[M].Hangzhou:Zhejiang University Press, 1995.7-81.(in Chinese).
[10] Liu Ying. Frame design of the intelligent decision support system for air-conditioning cooling/heating sources scheme selection(CIDSS)[D]. Nanjing: Department of Power Engineering, Southeast University, 1999.(in Chinese)
Memo
- Memo:
- Biographies: Liu Ying(1967—), female, graduate; Wang Ruzhu(corresponding author), male, professor, rzwang@mail.sjtu.edu.cn.