課程大綱： IoT for Power Utility: Fundamentals, Frontiers and Strategy 培訓(xùn)
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
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