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            課程目錄:IoT for Power Utility: Fundamentals, Frontiers and Strategy 培訓
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                     IoT for Power Utility: Fundamentals, Frontiers and Strategy 培訓

             

             

            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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