Course Overview
This workshop is designed for individuals looking to deepen their understanding of the Industrial Internet of Things (IIoT) and its impact on the industrial sector. Participants will gain a comprehensive understanding of IIoT, from its key technologies and enablers to its applications and deployment scenarios.
From the fundamentals of IIoT, you will learn about IIoT technology enablers, including sensors, cloud computing, and data analytics. You will also study how various connectivity methods, including Wi-Fi, Zigbee, and cellular networks, are used in IIoT. This course also covers how different layers of an IIoT architecture differ from one another and how they function together in an overall architecture solution.
Participants will be led to analyze and implement IIoT frameworks such as the Open Connectivity Foundation (OCF) and the Industrial Internet Consortium (IIC). Lastly, real-world examples of successful IIoT implementations in various industries such as manufacturing, logistics, and energy will be discussed.
Target Audience
- Radio, Packet Core Engineers and Managers involved in the planning and design of wireless networks
- Project Managers, IP Engineers, Technical Product Managers, Technical Product Marketing professionals, Technical Strategy Officials
- C-level Decision Makers & Executives looking to leverage the power of IIoT to drive efficiency and improve decision-making
- Regulators
- Anyone interested in exploring the latest developments in the field of IIoT and learning how to apply the technology and its use cases to their own businesses
Duration & Training Format
- Classroom: 4 days
- LIVE Virtual*: 28 hours
*Note:
- A minimum of 6 or more participants are required to commence a company-based LIVE Virtual course
- LIVE Virtual courses can be conducted for 5 hours or 7 hours daily. Please note that the number of training days will be extended if you opt for 5 hours daily.
Upcoming Course Dates
There are no upcoming course dates currently scheduled for this course. If you are keen on attending this course, please register your interest and indicate your preferred start/end training dates via our course enquiry form for us to open a Classroom/LIVE Virtual class schedule for this course.
Course Objectives
At the end of this course, participants would be able to:
- Distinguish between different types of IoT, including industrial, commercial, and consumer IoT
- Evaluate the enablers and automation stack of IIoT
- Learn about industry standards such as ANSI/ISA-95 and ISA-95
- Study Cyber-Physical Systems (CPS), Industrial Automation and Control Systems (IACS), and Supervisory Control and Data Acquisition (SCADA)
- Gain an understanding of Machine-to-Machine (M2M), Internet of Everything (IoE), machine learning, distributed computing, Artificial Intelligence (AI)
- Master architecture and solutions of 5G, including its monetization-specific features and capabilities
- Describe the 5G network architecture and its key technologies for service launch acceleration
- Illustrate the cloud and edge computing components and partner platform integration
- Describe typical IIoT use cases and deployment scenarios
- Learn about the conditions necessary to support virtualization, IoT, and edge computing
Course Outline
- IIoT Technology Enablers
- Small Cells
- Mass-Scale MIMO, Massive MIMO
- Software-Defined Radio (SDR)
- Centralized RAN vs Cloud RAN
- NFV, SDN, and Cloud Networking
- Massive Machine Communication (MMC)
- Massive Internet of Things (IoT)
- 5G Ultra Reliable and Low Latency Communication (URLLC)
- Overview of IoT Connectivity Methods and Technologies
- ZigBee PRO, ZigBee 3.0 and ZigBee IP
- 6LowPAN
- RFID
- Bluetooth LE or Bluetooth Smart Technology
- Z-Wave
- IEEE 802.15.4, IEEE 802.15.4e, 802.11ah
- 802.11ah, Wi-Fi HaLow
- GSM, CDMA, GPRS,3G, LTE, Small Cells, SATCOM
- Sensors and Sensor Networks
- MIPI, M-PHY, UniPro, SPMI, BIF, SuperSpeed USB Inter-Chip (SSIC), Mobile PCIe (M-PCIe) and SPI
- Wired Connectivity
- IPv4/IPv6
- IoT Architecture
- IoT Architecture Layer
- IoT Stack
- Industry 4.0
- Cyber-Physical Systems (CPS)
- Industrial Automation and Control Systems (IACS)
- Supervisory Control and Data Acquisition (SCADA)
- IIoT Framework Analysis
- Existing Taxonomies
- MEC Application Enablement Framework
- MEC Services
- MEC Deployment Options in 3GPP 5GS
- CUPS and Common API Framework
- MEC Impact on Existing Operational Systems
- Case Studies
- Factory Automation
- Smart Warehouses
- Smart Cities
- Enhanced Autonomous Transport V2X – Vehicle Telematics
- Mining, Oil and Gas Automation
- Ports
- Stadiums
- Remote and Control Centres
- Accelerated and Real-Time Gaming
- Collaborative and Mobile Robots
- Video Surveillance and Security
- 5G First Responders
- Emergency Management with Drones
- COVID Solutions
Pre-requisites
- Knowledge of wireless networks and functions
- Basic understanding of IP-based communication
- Experience with IT infrastructure (i.e., ethernet, switches, routers)
- Understanding of current 3G/4G/5G air interface and core network technologies
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