運用粒子群演算法 解不同方向多組百葉窗 以室內光照及溫濕度為例

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题名:	運用粒子群演算法解不同方向多組百葉窗以室內光照及溫濕度為例
其它题名:	Use Particle Swarm Optimization Solve Different Directions With Multiple Sets Of Blinds Taking Indoor Lighting And Temperature And Humidity As Examples
作者:	王乃惠 WANG,NAI-HSUAN
贡献者:	蔡清欉 TSAI,CHING-TSUNG 資訊工程學系
关键词:	物聯網;居家溫控 Internet of Things;Home temperature control
日期:	2017
上传时间:	2019-01-10T09:06:14Z (UTC)
摘要:	現代人對於生活舒適度的條件越來越多樣化，適宜的溫度、柔和的光線、綠化的裝飾等等，經研究發現舒適的家居環境不僅能令人壓力舒緩使心情輕鬆愉快，更能預防疾病產生並增強體魄，對於大部分人來說一整天時間至少有三分之一的時間處在居家環境當中，如果居家舒適度差，或者雜亂的家居環境，這些都可能會誘發各種疾病的產生。然而現有文獻對於不同方向的多組百葉窗並沒有提出相關的解決辦法，因為不同方向代表著光線的差異度極大，此實驗也架設了新的實驗環境個別包含東面南面西面百葉窗，例如早上太陽東邊升起東面的百葉窗會受到光線的直射，而西面的百葉窗只會被環境光源影響等等，代表東面百葉窗的解不一定能讓西面百葉窗學習。所以這邊我們承襲PSO的互相學習的習性，並且新增加參考解可以用來判斷各個百葉窗學習的方向是否正確，做了一連串的實驗發現確實解決了不同方向的百葉窗甚麼時候該學習，甚麼時候該自行搜索。 Modern conditions for the comfort of living more and more diverse, suitable temperature, soft light, green decoration, etc., the comfortable home environment by the study found that not only can make the pressure to ease the mood relaxed and happy, more prevent the disease Produce and enhance the body, for most people for a whole day at least one-third of the time in the home environment, if the home comfort is poor, or messy home environment which may induce dozens of diseases.Comfort conditions include temperature, humidity, light, ventilation, green, etc. For the control temperature using air conditioning, humidity dehumidification humidifier, light curtains, ventilation on the use of doors and windows design, but each environment Although the factors are controlled by different appliances, in fact each of the environmental factors are closely related, such as light intensity affect the temperature, light intensity affect the humidity, ventilation affect the humidity and so on. So we will design a set of three parameters temperature, humidity and light, you can use the blinds to do control, to adjust the current most reasonable comfort of the environment, and save a lot of electrical energy consumption to achieve energy saving The effect of reducing carbon
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