首先透過物聯網收集資料，當資料量足夠大時，為能更有效的儲存及再利用這些資料，可將這些資料存入資料庫。由於資料只做簡單的排序、篩選等動作，因此不需建立複雜的sql資料庫。本課程介紹一種NoSql的資料庫MongoDB。此種資料庫無需固定的欄位設定，在使用上非常彈性。當有了資料庫後，透過網頁來呈現收集到的資料，並以視覺化的方式來呈現，讓資料可能夠被理解，並進而發現其中所隱含的資訊。如有興趣，可再利用所收集到的巨量資料，作為機器學習的訓練樣本，可進一步找出深層次的資訊，並反饋至物聯網系統達成智慧控制。First, collect data through the Internet of Things. When the data volume is sufficient, in order to store and reuse these data more effectively, these data can be stored and reused. Since the data only performs simple sorting, filtering and other actions, there is no need to create a complex SQL database. This course introduces a NoSql database MongoDB. This database does not require fixed field settings and is very flexible in use. Once the database is available, the collected data is presented through the webpage and presented in a visual way, allowing the data to be understood and then discovered the information contained therein. If you are interested, you can reuse the huge amount of data collected as a training sample for machine learning. You can further find the deep-level information and respond to the Internet of Things system to achieve intelligent control.
超圖解物聯網IoT實作入門：使用JavaScript／Node.JS／Arduino／Raspberry Pi／ESP8266／Espruino
作者： 趙英傑
出版社：旗標
ISBN：9789863123439
Hypergraphic Illustration Network IoT implementation: Using JavaScript/Node.JS/Arduino/Raspberry Pi/ESP8266/Espruino
Author: Zhao Yingjie
Publisher: Flagmark
ISBN: 9789863123439
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席成績出席成績 Attendance |
10 | |
| 作業作業 Action |
60 | |
| 期末報告期末報告 Final report |
30 |
