新型温湿度室智能预定控制方法的研究——以恒定相对湿度下的温升为例

S. Hung, A. Lin, Yung-Han Chen
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引用次数: 4

摘要

本文提出了智能预定控制方法(IPCM),以提高试验箱的能耗和水耗,提高试验箱的性能。IPCM包括调度最优控制路径,计算所需热量和沿路径的水蒸气质量,驱动精确的加热器和加湿器以满足腔室的需求。为了验证IPCM的可行性,在空载条件下进行了相对湿度恒定的升温实验。结果表明,在恒定相对湿度为48%时,相对湿度在34℃~ 42.5℃范围内的误差在±2%以内,表明IPCM在节能节水方面是可行的,在精密温湿度控制方面更为完善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing the intelligent predetermined control method for a new temperature and humidity chamber: A Case study for rising temperature under constant relative humidity
This paper advances the Intelligent Predetermined Control Method (IPCM) to improve the energy and water consumption and the performance of the test chamber. The IPCM is composed of scheduling the optimal control path, calculating the required heat and the mass of water vapor along the path, actuating the precise heater and humidifier to meet the chamber demands. To verify the feasibility of IPCM, a case of rising temperature with constant relative humidity under no load condition is experimented. The results show that the error of relative humidity from 34 °C to 42.5 °C at constant relative humidity 48% is within ±2% and indicate that IPCM is feasible in energy and water saving and more sophisticated in precision temperature and humidity control.
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