| URN | etd-0720118-140034 | Statistics | This thesis had been viewed 249 times. Download 5 times. |
| Author | Weng Guor Wei | ||
| Author's Email Address | gw0417@yahoo.com.tw | ||
| Department | Institute of Electrical Engineering | ||
| Year | 2017 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 110 |
| Title | Implement IoT Applications by Arduino and Android - Use Plant Factory as an Example |
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| Abstract | On November 17, 2005, at the World Summit of Information Society, the International Telecommunication Union released the ¡§ITU Internet Report 2005: Internet of Things¡¨, which pointed out the advent of the IoT. After that, governments and major enterprises were all investing in the development of IoT. Taiwan's Ministry of Education added the theme of "Smart Home Monitoring" to the curriculum of the 107th grade of vocational high school education. How to let vocational high school students quickly enter the field of "Internet of Things" in a simple way is the theme to be discussed in this paper. Both Arduino and Android are open source systems that are easy to use and have a low threshold of learning, making them ideal for vocational high school students. This paper uses the plant factory as an example, uses Arduino as the control core to realize the perception and network layer of IoT, uses ThingSpeak server as storage space of the cloud, and then uses Android platform to implement the operation interface, to construct the "Cloud Intelligent Plant Factory" application of IoT. The "Cloud Intelligent Plant Factory" system automatically monitors the four growth elements of sunlight, air, water and nutrients required for plant growth. It includes the plant light status, carbon dioxide concentration, air temperature and humidity, pH value of water, EC value of water, water temperature, water level and other information, and upload these sensed data to cloud database regularly. Users can monitor and set up the conditions of planting anytime, anywhere through the mobile App, which include plant light switch time, carbon dioxide concentration, temperature and humidity range, water pH range, water temperature range, EC range, fertilization cycle And duration. The system can automatically adjust the lighting time, carbon dioxide concentration, humidity, pH value of water, nutrient concentration, fertilization time, etc., according to the setting value, the system can automatically take care of the plant during growth. If there is an exception can be immediately alert, reduce human intervention time and production costs. |
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| Files | indicate access worldwide | ||
| Date of Defense | 2018-07-06 | Date of Submission | 2018-07-20 |