碩士 / 國立臺灣海洋大學 / 電機工程學系 / 107 / Domestic farms and box net practitioners are extremely labor-intensive in collecting real-time information data, and the development of global Internet of Things technology continues to be complete. Only in the process of breeding Internet of Things technology, there is no breakthrough process, such as the adoption of intelligent environmental monitoring system to make domestic In the breeding technology, there are different updates in the past, so that the fish food practitioners can face calmly in the working environment, and the farms in the open sea can not be fixed to the sea every day. When the data is abnormal, the practitioners cannot grasp the treatment immediately. This is my main purpose for this research.
The goal of this thesis is to build an IoT architecture based platform to process the water quality monitoring system detection platform with low cost and low power consumption. The monitoring platform integrates the following temperature sensors (TEMP Sensor) and pH sensor (PH Sensor). ), the salinity sensor (EC Sensor), the turbidity sensor (TDS Sensor), pass the data through the MediaTek Lnklt 7697 development version, and combine the low-power LoRa module REYAX RYLR896 SX1276 back to the data collector, through the data The collector uploads the data to the cloud, and allows the farmers to quickly grasp the water quality parameters of the culture pond through the cloud webpage management interface, which is easy for the farmers to obtain through the chart, and the web platform can be displayed on the computer and the mobile phone across platforms.
| Identifer | oai:union.ndltd.org:TW/107NTOU5442011 |
| Date | January 2018 |
| Creators | LIAO YEN-HSIANG, 廖彥翔 |
| Contributors | Chang,Chung-Cheng, 張忠誠 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 88 |
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