计算机应用 ›› 2012, Vol. 32 ›› Issue (09): 2545-2547.DOI: 10.3724/SP.J.1087.2012.02545

• 人工智能 • 上一篇    下一篇

智能办公环境温度控制方法

王海珍1*,廉佐政2,滕艳平1   

  1. 1.齐齐哈尔大学 计算机与控制工程学院,黑龙江 齐齐哈尔 161006;
    2.齐齐哈尔大学 计算中心,黑龙江 齐齐哈尔 161006
  • 收稿日期:2012-04-09 修回日期:2012-05-19 发布日期:2012-09-01 出版日期:2012-09-01
  • 通讯作者: 王海珍
  • 作者简介:王海珍(1976-),女,山东临沂人,讲师,硕士,主要研究方向:嵌入式、网络设计; 廉佐政(1977-),男,黑龙江海伦人,讲师,硕士,CCF会员,主要研究方向:人工智能、数据挖掘; 滕艳平(1965-),女,黑龙江齐齐哈尔人,副教授,主要研究方向:计算机网络、操作系统。
  • 基金资助:

    齐齐哈尔大学青年教师科研启动支持计划项目(2011k-M05)

Temperature control approach in intelligent office environment

WANG Hai-zhen1*,LIAN Zuo-zheng2,TENG Yan-ping1   

  1. 1.School of Computer and Control Engineering,Qiqihar University,Qiqihar Heilongjiang 161006,China;
    2.Computer Center,Qiqihar University,Qiqihar Heilongjiang 161006,China
  • Received:2012-04-09 Revised:2012-05-19 Online:2012-09-01 Published:2012-09-01

摘要: 针对变频空调技术参数固定不能适应智能办公环境变化的问题,为提高环境温度的舒适度,提出一种新的变频空调温度控制方法。该方法引入多智能体(Agent)技术设计温度模糊控制结构,确定输入输出变量及其模糊集,然后引入动作回报值改进模糊Q学习算法,由推理Agent执行算法学习手动调节空调的动作、修改模糊规则。将得到的优化模糊规则用于环境温度的控制。实验结果表明,与常规模糊温度控制方法相比,该控制方法缩短了空调的响应时间,减少了超调量。

关键词: 智能办公环境, 环境温度, 模糊控制, 模糊Q学习算法, 响应时间

Abstract: The parameters of inverter air-conditioner are fixed, which cannot adapt to changed intelligent office environment. This paper proposed a new air-conditioner control approach in order to improve the comfort of the ambient temperature. Multi-Agent technology was introduced, and input and output variables and their fuzzy sets were given, and then the fuzzy Q-learning algorithm introduced rewards was proposed, which was executed by reasoning Agent to learn manually adjusting the air-conditioner action, and modify the fuzzy rules, so the fuzzy rules were optimized. Finally the optimization fuzzy rules were applied to control ambient temperature. The experimental result shows that the response time and overshoot of the air-conditioner are less than the conventional fuzzy temperature control approach.

Key words: intelligent office environment, ambient temperature, fuzzy control, fuzzy Q-learning algorithm, response time

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