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室内热舒适度智能预测器的研究
引用本文:高立新.室内热舒适度智能预测器的研究[J].计算机测量与控制,2002,10(8):519-520,526.
作者姓名:高立新
作者单位:哈尔滨工业大学,市政环境工程学院,黑龙江,哈尔滨,150090
摘    要:PMV是目前国际上公认的反映室内环境热舒适度的指标,但由于其无法直接检测,故使其应用受到了影响。本文利用人工神经网络技术,建立了室内环境热舒适度(PMV指标)智能预测器。实现了PMV指标的智能化预测,从而解决了实现基于PMV指标的中央空调系统实时控制的关键问题。

关 键 词:室内热舒适度  智能预测器  PMV指标  人工神经网络  中央空调系统
文章编号:1671-4598(2002)08-0519-02

Research on the Intelligent Predictor of Indoor Thermal Comfort
GAO,Li,xin.Research on the Intelligent Predictor of Indoor Thermal Comfort[J].Computer Measurement & Control,2002,10(8):519-520,526.
Authors:GAO  Li  xin
Abstract:PMV is an indoor thermal comfort-representing index which is accepted internationally at present, as it can not be detected directly, its application is influenced. An intelligent predictor of PMV index has been built by the use of artificial neural network technology, the intelligent prediction of PMV index is realized, and the key problem for the implementation of central air-conditioning real-time control based on PMV index is solved.
Keywords:central air-conditioning  thermal comfort  PMV index  artificial neural network  prediction
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