基于STM32的空调与窗户联动自动控制系统设计
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摘要
随着现代技术发展,空调在生活中的应用已经是相当广泛。然而目前多数家用空调,仍然采用室内循环送风方式,出于节能与设计制冷能力的限制,基本都是在密闭的空间内使用。这种方式会导致室内空气二氧化碳浓度升高,尤其是夜间室内空气质量对人的健康有一定的危害。该设计提出将空调与开窗器控制采用综合智能方式,使得根据室内外温度以及室内空气CO2浓度来自动控制空调的设定与窗户的打开与关闭,给使用者提供便利并满足人们对于室内空气调节舒适度的功能需求。本设计通过对于复杂控制输出进行针对个性化自适应的控制算法,动态调整空调温度控制模式以及开窗器的配合动作,实现了家用空调提供最佳温度与室内空气新鲜度调节与控制。
With the development of modern technology,the application of air conditioning in life has been quite extensive. However,most domestic air conditioners still use the indoor circulating air supply mode. Due to the limitation of energy saving and design cooling capacity,they are basically used in a closed space. This method will lead to an increase in indoor air carbon dioxide concentration,especially at night,indoor air quality has a certain hazard to human health. The design proposes to adopt an integrated intelligent mode for air conditioner and window opener control,so that the setting of the air conditioner and the opening and closing of the window are automatically controlled according to the indoor and outdoor temperature and the indoor air CO2 concentration,thereby providing convenience and satisfying people. Functional requirements for indoor air conditioning comfort. The design realizes the optimal temperature and indoor air freshness adjustment and control of the household air conditioner by dynamically adjusting the air conditioning temperature control mode and the action of the window opener by performing a personalized adaptive control algorithm for the complex control output.
With the development of modern technology,the application of air conditioning in life has been quite extensive. However,most domestic air conditioners still use the indoor circulating air supply mode. Due to the limitation of energy saving and design cooling capacity,they are basically used in a closed space. This method will lead to an increase in indoor air carbon dioxide concentration,especially at night,indoor air quality has a certain hazard to human health. The design proposes to adopt an integrated intelligent mode for air conditioner and window opener control,so that the setting of the air conditioner and the opening and closing of the window are automatically controlled according to the indoor and outdoor temperature and the indoor air CO2 concentration,thereby providing convenience and satisfying people. Functional requirements for indoor air conditioning comfort. The design realizes the optimal temperature and indoor air freshness adjustment and control of the household air conditioner by dynamically adjusting the air conditioning temperature control mode and the action of the window opener by performing a personalized adaptive control algorithm for the complex control output.
引文
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[2]吕中虎,张徽,张晓飞.基于STM32的便携式二氧化碳监测仪设计[J].电子设计工程,2014(21):91-93.
[3]杜晨秋,李百站.基于决策树模型的居住建筑人员热舒适预测[J].暖通空调,2018(8):42-48.
[4]邝文君,毕浩桐.基于室内空气品质的住宅中央新风系统的控制研究[J].唐山师范学院学报,2016,38(2):72-74.
[5]周勇帆,唐碧华,范文浩.基于机器学习的智能终端用户行为分析研究[J].计算机科学技术,2018:13-18.
[6]古建中,朱嘉林.基于STM32的智能换气扇研究与设计[J].微型机与应用,2014(4):17-19.
[7]张玲.一种基于STM32的智能家居系统设计[J].电子技术,2014(11):51-54.
[8]王汝凡,陶力.基于STM32的智能窗家居设计[J].电脑迷,2017(4):6-7.
[9]周江. STM32单片机原理及硬件电路设计研究[J].数字技术与应用,2015(11):1.
[10]刘斌,牛润萍.居住建筑开窗行为的研究进展[J].人类工效学,2017,4(23):81-86.
[11]谢子令,孙林柱.住宅自然通风节能率及其开窗行为相关性分析[J].建筑热能通风空调,2013,1(32):20-23.
[12]周蓓,沈健.基于物联网技术的空调智能控制系统设计[J].常熟理工学院学报:自然科学,2017,7(31):67-70.
[13]贺佳伟,裴亮.基于专家知识的决策树分类[J].测绘与空间地理信息,2017,5(5):91-94.
[14]饶琨.基于模糊控制技术的中央空调智能群控系统研究[J].信息化建设,2016(5):302.
[15]郭云翔.中央空调智能控制系统在公用建筑节能中的应用[J].现代商贸工业,2017(27):186-187.
[16]林忠晨.基于线性规划中央空调优化控制策略研究[J].科技视界,2018(1):145-146.