Industrial IoT (Internet of Things) for Manufacturing Professionals Training Course

Session 1: Business Overview of Why IoT is So Important

• Case Studies from Nest, CISCO and top industries
• IoT rate in North American & how they are aligning their future business model and operation around IoT
• Broad Scale Application Area
• Smart Factory of 2020
• Industrial Internet
• Predictive and Preventative Maintenance of a Machine
• Tracking the utilization and productivity of the machine
• Energy and cost optimization of manufacturing plants
• Business Rule Generation for IoT
• 3 layered architecture of Big Data - Physical (Sensors), Communication, and Data Intelligence

• 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.

Demo : Logging data from a temperature sensor

• 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

• PCB vs FPGA vs ASIC design-how to take decision
• Prototyping electronics vs Production electronics
• QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those and when needed?
• Basic introduction of multi-layer PCB design and its workflow
• Electronics reliability-basic concept of FIT and early mortality rate
• Environmental and reliability testing-basic concepts
• Basic Open source platforms: Arduino, Raspberry Pi, Beaglebone, when needed?

• State of the present art and review of existing technology in the market place
• PLC – architecture
• Cloud integration of PLC data
• Visualization of PLC data
• Digital Twin
• PLC protocols ( Modbus, Field bus, Profibus) and its integration with Cloud
• Concept of Industrial Gatway

• Protocol stack of Mobile app for IoT
• Mobile to server integration –what are the factors to look out
• What are the intelligent layer that can be introduced at Mobile app level ?
• iBeacon in IoS
• Window Azure
• Amazon AWS-IoT
• Web Interfaces for Mobile Apps ( REST/WebSockets)
• IoT Application layer protocols (MQTT/CoAP)
• Security for IoT middleware- Keys, Token and random password generation for authentication of the gateway devices.

Demo : Mobile app for tracking IoT enabled trash cans

• Introduction to Machine learning
• Learning classification techniques
• Bayesian Prediction-preparing training file
• Support Vector Machine
• Predicting failure of the machines -vibrational analysis
• Current signature analysis
• Time series data and prediction

Demo : Using KNN Algorithm for regression analysis

Demo : SVM based classification for image and video analysis

• Insight analytic
• Visualization analytic
• Structured predictive analytic
• Unstructured predictive analytic
• Recommendation Engine
• Pattern detection
• Root cause discovery for electrical failures in factory
• Root cause of machine failure
• Logistic supply chain analysis for manufacturing

• Why security is absolutely essential for IoT
• Mechanism of security breach in IOT layer
• Privacy enhancing technologies
• Fundamental of network security
• Encryption and cryptography implementation for IoT data
• Security standard for available platform
• European legislation for security in IoT platform
• Secure booting
• Device authentication
• Firewalling and IPS
• Updates and patches

• SQL vs NoSQL-Which one is good for your IoT application
• Open sourced vs. Licensed Database
• Available M2M cloud platform
• Cassandra -Time Series Data
• Mongo-DB
• Siemens MindSphere
• GE Predix
• IBM BlueMix
• AWS IoT

• Energy Optimization in Manufacturing
• Vibration analysis to build predictive maintenance
• Power Quality analysis to build Preventative maintenance
• Recommendation system for logistic supply chain
• IIoT system for Industrial Safety
• IIoT system asset identification
• IIoT system for Utilities in Manufacturing plants ( Chiller, Aircompressor, HVAC)

Demo : Retail, Transportation & Logistics Use case for IoT

• 4V- Volume, velocity, variety and veracity of Big Data
• Why Big Data is important in IoT
• Big Data vs legacy data in IoT
• Hadoop for IoT-when and why?
• Storage technique for image, Geospatial and video data
• Distributed database- Cassandra as example
• Parallel computing basics for IoT
• Micro services Architecture

Demo : Apache Spark