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教學:如何透过QBoat Sunny监控家电

QBoat Sunny藉由Facebook messenger聊天機器人達到遠端實境家電監控範例

准备材料


  • QBoat Sunny 使用軟體:
    1. QIoT Suite Lite
    2. QUSBCam2

  • MediaTek 7697
  • 继电器与插座 (可参考Web Controlled Socket by Arduino 一文,可按照文中的各张图片依步骤组装继电器与插座,控制器将改为MediaTek LinkIt 7697)
  • USB Web Camera
  • AP Wireless Router
  • 台灯
  • Facebook账号

 

文章標籤

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On the Thursday of May 17, 2018, ON Semiconductor held the IIoT Application Program Technical Seminar at NTUT. It invited not only the MakerPro to introduce its experience and application of ON IDK development, but also QNAP to share how to apply QBoat Sunny on IoT.

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The QBoat Sunny is a dedicated single-board Internet of Things (IoT) mini server for IoT developers, measuring only 12cm x 12cm (without heatsink), and provides high expandability for connecting almost any type of IoT application. Besides, rule engine criteria and subsequent actions can be processed locally for you to create a small-scale/private IoT application with minimal costs. The QBoat Sunny can also reduce bandwidth and cloud processing costs of large scale/public IoT solutions by using it as a fog computing server/gateway to filter and relay data to public clouds.

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In 2018 Fishackathon, QNAP cooperated with Lai Chien-Hung to organize the "Ocean Fox" team to participate this competition. With the monitoring system "Formosan salmon submarine sampling system", they won the appraisal and the championship.This system not only create solutions to challenges facing the world’s oceans and fisheries, but also succeeded in attracting media attention of TVBS.

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Recently, team was invited by TVBS to demonstrate this system in Dahu Park. Tim, one of the team member, explained how QBoat Sunny work in this system. It can be regarded as a data collector and connected to sensors to collect temperature, colors, oxygen level, and water pressure; GPS, etc. After checking the sensors and cameras, then we can start the exploration task underwater.

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Fishackathon was first organized by the US Secretary’s Office of Global Partnerships in 2014, and it inspired the creation of digital solutions to address sustainable fisheries challenges.Overfishing and other serious problems harm marine environments and can devastate already-struggling, small-scale fishing marketplaces and communities, many of them in developing countries. Protections exist, but actual enforcement faces major obstacles.To combat this, Fishackathon brings together thousands of concerned designers, developers, and subject matter experts for a weekend to build practical tech solutions to endemic problems defined by the world’s most respected fisheries experts.

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This past February at StarRocket in SYNTREND, teams in Taipei competed in the 2018 Global Fishackathon to create solutions to challenges facing the world’s oceans and fisheries. QNAP cooperated with Lai Chien-Hung to organize the "Ocean Fox" team to participate this competition. With the monitoring system "Formosan salmon submarine sampling system", they won the appraisal and the championship.

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Get started with Raspberry Pi (Nodejs)



In this tutorial, you will learn the basics of working with Raspberry Pi (that runs the Debian-based Raspbian). You will then learn how to connect your devices to QNAP NAS using QIoT Suite Lite.

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Lesson 4  Integrate Power BI

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Lesson 2 Install QIoT Suite Lite


In Lesson 1 you already setup your device. In this lesson, you provision your QNAP QIoT Suite Lite software, and create your first device in QIoT Suite Lite.

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In this lesson, you configure your Raspberry Pi device with an operating system, set up your development environment, and deploy an application to Raspberry Pi.


There are three parts:


      A What will you need

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