IoT (Internet of Things) for University Faculties 培訓

課程代碼

IoT201911

課程時長

16 時間: 同常來說包括休息是 3天

最低要求

  • An understanding of IoT.
  • Basic knowledge devices, electronics systems and data systems
  • Basic understanding of software and systems
  • Basic understanding of Statistics (in Excel levels)
  • Understanding of Telecommunication Verticals

Target Audience 

  • Faculty members and research engineers who are applying for Govt grants in IoT areas- such as smart city, smart manufacturing, 5G-IoT

概觀

物聯網是物聯網。

此講師指導的現場培訓(現場或遠端)面向希望使用智慧城市、智慧製造、5G-IoT 等物聯網的教師和研究工程師。

到本培訓結束時,學員將能夠具備以下功能:

  • 縱向方面:新興物聯網實施的新技術選擇、平臺和案例研究(智慧城市、智慧製造、農業、公共安全等)
  • 橫向方面:(邊緣計算、PaaS 平臺、5G-IoT 等),面向大學研究人員

課程格式

  • 互動講座和討論。
  • 大量的練習和練習。
  • 在即時實驗室環境中實際實現。

課程自訂選項

  • 如需申請本課程的定制培訓,請聯繫我們安排。
  • 要瞭解有關 IoT 的更多詳細資訊,請訪問:

Machine Translated

課程簡介

Session 1:Basic and Advanced concepts

  • Basic -1:  A brief history of evolution of IoT technologies
  • Basic-2: Wearable, Edge computing, IoT wireless protocols ( Sigfox, Lora etc.) , IoT cloud platforms.
  • Basic-3 :  layered architecture of IoT — Physical (Sensors), Communication, and Data Intelligence
  • Advanced-1 : Edge architecture, edge computation and database
  • Advanced-2 :  Next Generation IoT Gateways- edge and 5G
  • Advanced-3:  managed IoT services  like diagnostics, maintenance of IoT infrastructure by bots and automation

Session 2:Sensing and Devices: Architectures and Examples

  • Basic function and architecture of a sensor — sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network — all the basics about the sensors
  • Development of sensor electronics — IoT vs legacy, and open source vs traditional PCB design style
  • Development of sensor communication protocols — history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT, etc.
  • Business driver for sensor deployment — FDA/EPA regulation, fraud/tempering detection, supervision, quality control and process management
  • Different Kind of Calibration Techniques — manual, automation, infield, primary and secondary calibration — and their implication in IoT
  • Powering options for sensors — battery, solar, Witricity, Mobile and PoE
  • Hands on training with single silicon and other sensors like temperature, pressure, vibration, magnetic field, power factor etc.

Session 3:Well Known Communication Protocols for IoT Engineering

  • What is a sensor network? What is ad-hoc network?
  • Wireless vs. Wireline network
  • WiFi- 802.11 families: N to S — application of standards and common vendors.
  • Zigbee and Zwave — advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips.
  • Bluetooth/BLE: Low power vs high power, speed of detection, class of BLE. Introduction of Bluetooth vendors & their review.
  • Creating network with Wireless protocols such as Piconet by BLE
  • Protocol stacks and packet structure for BLE and Zigbee
  • Other long distance RF communication link
  • LOS vs NLOS links
  • Capacity and throughput calculation
  • Application issues in wireless protocols — power consumption, reliability, PER, QoS, LOS
  • Sensor networks for WAN deployment using LPWAN. Comparison of various emerging protocols such as LoRaWAN, NB-IoT etc.
  • Hands on training with sensor network

Demo  : Device control using BLE

Session 4:Review of Standard and Advanced topologies in IoT

  • Reviewing all the basic elements of an IoT system- sensors, automation, gateway, edge gateway, data visualization, data analytics, cloud computation
  • Review of a standard gateway architecture- North and South bound system, critical process, IPC vs IPC internal communication protocols, Batch vs no-batch computation
  • Edge computation and edge database- more detailed architectural lay-outs
  • Gateway to cloud communication – MQTT, Web-socket etc.
  • Real Time vs  Near Real time vs Historical visualization
  • Over the top (OTA) architectures for remote update of firmware and software
  • Managing a distributed system and network from event logs more effectively
  • Batch size vs process duty cycle- how to match them

Session 5:Data-Mining and Analytic Engine  for IoT

  • Insight analytic
  • Visualization analytic
  • Structured predictive analytic
  • Unstructured predictive analytic
  • Recommendation Engine
  • Pattern detection
  • Rule/Scenario discovery — failure, fraud, optimization
  • Root cause discovery
  • Introduction to Machine learning
  • Learning classification techniques
  • Bayesian Prediction-preparing training file
  • Support Vector Machine
  • Image and video analytic for IoT
  • Fraud and alert analytic through IoT
  • Bio –metric ID integration with IoT
  • Geo-fencing in IoT analytics
  • Real Time Analytic/Stream Analytic
  • Scalability issues of IoT and machine learning
  • What are the architectural implementation of Machine learning for IoT

Session 6:Cloud computing and platforms for IoT

  • IaaS vs PaaS
  • SaaS models
  • Hybrid IoT clouds
  • On-premise cloud for IoT
  • IoT event hub ( Microsoft)
  • AWS IoT Platform ( with demo and architecture)
  • Microsoft IoT platform (with demo and architecture)
  • Basic concepts of Cloud apps for in IoT
  • Basic concepts of different layers of security in IoT
  • Detailed study of Azure IoT platform architrecture

Session 7:Hands-on building a IoT cloud system

  • Build a IoT system using Microsoft Azure IoT central – example will be to   build a 3 phase-voltage current sensor in Azure IoT central system
  • Learn the basic concepts of IoT Web app- Fleet manager, data visualization, sensor onboarding, sensor mapping, sensor-system attribute mapping , digital twins  - learn it via Azure IoT central and Machinesense Crystal Ball
  • Computation /Machine learning of Data in Edge vs Cloud
  • Concept of IoT Template for replicated IoT system design
  • IoT system and connectivity diagnosis

Session 8:Emerging Research Areas and Case Studies for Federal grants in IoT

  • Smart City :  Structural health monitoring, Bridge health monitoring, Transportation Monitoring, Air and Water pollution monitoring, Smart Parking etc.
  • Sustainable development goals ( SDG)- defining IoT Scopes in SDG1-16 as defined by UN
  • IoT and Public Safety – Fire hazard, flash floods prevention
  • IoT and 5G
  • IoT in smart agriculture
  • IoT in Oil/Gas
  • IoT and water management
  • IoT and Power management – energy and power quality

 

 

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