Course Code: iotit4
Duration: 4 hours
Prerequisites:

目的:

 目前,任何新的物聯網開發都必須在PaaS(平臺即服務)物聯網基礎設施上進行。領先的 PaaS 物聯網系統包括 Microsoft Azure、AWS IoT (Amazon)、Google IoT cloud 和 Siemens Mindsphere 等。對於開發人員來說,瞭解將物聯網數據連接到另一個生態系統所需的相關 PaaS 功能也很重要。在本課程中,客戶將接受 Raspberry Pi 的實踐培訓,該晶元是一種多感測器 TI 感測器標籤晶片(內置 10 個感測器 - 運動、環境溫度、濕度、壓力、照度計等)。學員將學習所有物聯網功能的基礎知識,以及如何使用 Lambda 函數在 AWS IoT PaaS 雲中實施它們。

Overview:

總結:

  • 物聯網架構和功能的基礎知識
  • “物”、“感測器”、互聯網和物聯網業務功能之間的映射
  • 所有物聯網軟體元件的基本要素 - 硬體、韌體、中間件、雲端和行動應用程式
  • 物聯網功能 - 車隊管理器、數據可視化、基於 SaaS 的 FM 和 DV、警報/警報、感測器入職、“事物”入職、地理圍欄
  • 使用 MQTT 與雲端進行物聯網設備通信的基礎知識。
  • 使用 MQTT (AWS IoT Core) 將 IoT 設備連接到 AWS。
  • 將 AWS IoT 內核與 AWS Lambda 功能連接,用於計算和數據存儲。
  • 連接具有 AWS IoT 核心和簡單數據通信的Raspberry PI。
  • 警報和事件
  • 感測器校準
Course Outline:
  • 物聯網設備的基礎知識
    • 物聯網系統的架構 – IaaS 與基於 PaaS 的物聯網系統
    • “事物”的基礎知識、感測器、業務功能以及它們之間的映射,以構建可交付的物聯網數據。
    • 物聯網系統的基本元件 - 硬體、中間件、安全性、車隊管理器(感測器和事物管理器)、感測器入職、事物入職、地理圍欄、時間序列數據、警報/警報、數據可視化
    • AWS PaaS 功能,用於中間件、安全性、車隊管理器、警報/警報等。
    • 物聯網設備安全,我們為什麼需要它?
  • 使用 MQTT 與雲端進行物聯網設備通信的基礎知識
    • 物聯網通信的早期歷史。
    • MQTT 的基礎知識以及我們為什麼將 MQTT 用於物聯網設備。
    • 消息佇列和 PubSub 系統。
  • 使用 MQTT 將 IoT 裝置連接到 AWS (AWS IoT Core)
    • 如何配置IoT核心版以連接設備。
    • 入職和下屬感測器
    • “事物”的入職和下屬
  • 將 AWS IoT 內核與 AWS Lambda 功能連接以進行計算和存儲
    • 將 AWS Core 與 AWS Lambda 連接。
    • 什麼是AWS Lambda。
    • 使用 Lambda 從 AWS IoT Core 收集數據。
  • 將Raspberry PI 與 AWS IoT 內核和數據通信連接
    • 使用 python 在 Raspberry PI 上編寫代碼以連接到 AWS IoT Core。
    • 發送和接收數據。
    • 從感測器讀取數據並上傳到MQTT。
    • 從MQTT接收數據並控制感測器。
  • 警報和事件捕獲
    • 警報和事件
    • 捕獲警報和事件
    • 規則範本和即時警報
    • 使用 Cloud Watch 進行異步/延遲事件捕獲
    • 使用 AWS SNS 即時發送警報
  • 感測器校準
    • 什麼是感測器校準
    • 單級校準
    • 多級校準
Sites Published:

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