Course Outline

 

Module-1 Introduction, Basics and Case Studies from Power Utility Companies

  • Fundamentals of all technology stacks in IIoT  
  • IoT adaptation rate in Power Utility Market &  how they are aligning their future business model and operation around IoT
  • Broad Scale Application Area
  • Smart  Meter, Smart Car, Smart Grid- brief definition, adoption and challenges
  • Business Rule generation for IoT
  • 3 layered architecture of Big Data –Physical (Sensors), Communication and Data Intelligence
  •  Evolving standards and platform players like Azure, AWS and Google-brief introductions. What they offer and what they don’t

Module- 2 : Sensors,  Hardware & Sensor Networks

  • 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 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, 6LoPAN, WiFi-x, NB-IoT, SignalFx, LORA
  • Powering options for sensors-Battery, solar, Mobile and PoE
  • Energy harvesting solutions for wearables
  • SoC( Sensors on Chips) and MEMS based sensors
  • Sampling rate matching with application – why it matters in business?
  • What is a sensor network? What is Ad-hoc network ?
  • Wireless vs. Wireline network
  • Autopairing and reconnection
  • Which applications to use and where
  • Mathematical exercise to find out which network to pick up and where

Module-3:  Key Security and Risk Concerns in IoT

  •  Firmware Patching risk- the soft belly of IoT
  • Detailed review of security of IoT communication protocols- Transport layers ( NB-IoT, 4G, 5G, LORA, Zigbee etc. ) and Application Layers – MQTT, Web Socket etc.
  • Vulnerability of API end points -list of all possible API in IoT architecture
  • Vulnerability of Gate way devices and Services
  •  Vulnerability of connected sensors -Gateway communication
  •  Vulnerability of Gateway- Server communication
  •  Vulnerability of Cloud Database services in IoT
  •   Vulnerability of Application Layers
  •   Vulnerability of Gateway management service- Local and Cloud based
  •   Risk of log management in edge and non-edge architecture

Module 4:   Machine learning, AI , Analytics  for intelligent IoT

  • What is return of investment on Intelligent IoT?
  •  In Utility- Power Quality, Energy management, Other analytic as service (AAS)
  • Introduction to Analytic Stacks in IoT- Feature extraction, Signal Processing, Machine learning
  • Introduction to digital signal processing
  • Fundamentals of analytics stacks in IoT applications
  • Learning classification techniques
  • Bayesian Prediction-preparing training file
  • Support Vector Machine
  • Image and video analytic for IoT
  • Fraud and alert analytic through IoT
  • Real Time Analytic/Stream Analytic
  • Scalability issues of  IoT and machine learning
  • FOG computing
  • Edge architecture

Module 5:   Smart Metering- Standards, Security and Future

  • Smart Metering,
  • Open Smart Grid Protocols (OSGP)
  • ANSI C 2.18 Protocols
  • NIST Standard for HAN ( Home Area Network)
  • Home Plug Powerline Alliance
  • Security Standard for Smart Meter- IEC 62056
  • Security vulnerability of smart metering- case studies

Module 6:  Cloud Platform for IoT / Iaas/Paas/Saas for IoT

  • Iaas : Infrastructure as a service-evolving models
  • Mechanism of security breach in IOT layer for Iaas
  • Middleware for Iaas business implementation in healthcare, homeautomation and farming
  • Iaas case study for vehicular information for Auto-insurance and Agriculture
  • Paas: Platform as a service in IoT. Case studies of some of the IoT middleware
  • Saas : Software/System as service for IoT business models
  • Updates and patches via web-OTA mechanism
  • Microsoft IoT Central as an example of PaaS platform
  •  Google IoT, AWS IoT PaaS platform

Module 7:  Future of Smart Grid and Smart Metering

  •  EV charging as a service
  •  EV as a Mobile battery and charger wallet
  •  Large Battery storage – Hydro Battery, Lithium Battery and other initiative
  • Charging and storage as service
  • Grid as a service for P2P energy trading
  • Use of distributed ledger technology in P2P energy trading- Blockchain, HyperLedger and DAG
  •  IOTA/TIANGLE in P2P charging
  •  IOTA/TANGLE in smart energy and smart contract

Module 8:  A few common IoT systems for Utility monetization

  • Home automation
  • Smart Parking
  • Energy optimization
  • Automotive-OBD /Iaas/Paas for Insurance and Car parking
  • Mobile parking ticketing system
  • Indoor location tracking
  • Smart lighting for smart city
  • Smart Waste Disposal system
  • Smart pollution control in city

Module 9 : Mobile IoT Modem, 4G, 5G, NB-IOT

  • 4G IoT standards for IoT  :  LTE-M applications, NB-IoT, UNB standard for 3GPP, 4G , LTE CAT-1 IoT
  • 5G IoT standard for IoT : LPWA, eMTC  , IMT 2020 5G
  • Detailed architecture of  IoT Mobile Modem
  •  Security Vulnerability of 4G/5G and Radio Networks
  •  IoT gateways -architecture, classification  and security issues

Module 10 : Managed IoT Service  : IoT management layers

  • Sensor onboarding
  • Sensor mapping
  • Digital Twin
  • Asset management
  •  Managing third party device and gateways
  •  Managing sensor connectivity, gateway connectivity
  •  Managing device and gateway health
  •  Managing sensor calibration and QC
  •  Managing  OTA/Patching on bulk scale
  •  Managing Firmware, Middleware and analytic builds in distributed system 
  •  Security and risk management
  •  API management
  •  Log management

Module 11 : Managing Critical Assets

  • Review of existing Fiber Optical Network, SCADA, PLC for Power Plants, Sub-station and critical transformers.
  • SHM (Structural Health Monitoring) of DAM system -ICOLD standard for Dam monitoring
  • Upgrading from SCADA to local cloud based system ( not public cloud)
  • SCADA/PLC to intelligent local cloud  for more efficient management of Critical Assets
  • Strategy for new policy for adopting smart devices

 

 

Requirements

  • Should have basic knowledge of business operation, devices, electronics systems and data systems
  • Must have basic understanding of software and systems
  • Basic understanding of Statistics (in Excel levels)

    Target Audience

  1. Decision makers/strategist/Policy makers
  • Engineering Leaders, Lead developers, Security Experts

Breakdown of the Module ( Each module 2 hours, customers can ask for any number of modules): Total 22 hours, 3 days

  22 Hours
 

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