Introduction to Industrial internet of things(IIoT)

Explore how sensors convert physical events into electrical signals and how actuators translate system signals into movement, enabling real-time data, automation, and predictive maintenance in industrial IoT.

Explore the automation pyramid from field level with sensors and actuators to control level with PLCs and PACs. Understand how SCADA with HMIs enables data access and ties to ERP.

Classify sensors by signal output and power needs, covering analog and digital sensors as well as active and passive types with examples like thermocouples, infrared, pir, ultrasonic, and radar sensors.

Explore industrial IoT temperature sensors, including contact and non-contact types, with thermocouples and RTD sensors like PT100, and wire configurations from two to four wires for accuracy.

Proximity sensors detect object presence without contact using electromagnetic fields, infrared signals, or ultrasonic waves, with inductive, capacity proximity, ultrasonic, and optical/infrared types used in manufacturing, automotive, packaging, and parking.

Explore how pressure sensors convert applied pressure into electrical signals, covering absolute, gauge, differential, sealed, Nexus physio electric, strain gauge, and capacitive types and their industrial, medical, and environmental applications.

Explore pH, turbidity, dissolved oxygen, conductivity, temperature, ORP, nitrate, chlorine, heavy metals, and BOD sensors to monitor water quality across drinking water, wastewater treatment, environmental monitoring, and industrial processes.

Explore chemical and gas sensors that monitor air quality for toxic gases using electrochemical, infrared, and semiconductor technologies. Apply them in industrial safety, environmental monitoring, medical diagnostics, and smart homes.

Explore infrared sensor technology for motion and proximity detection, temperature sensing, and industrial automation. Learn about active and passive infrared sensors, spectroscopic sensing, and thermal imaging applications.

Explore various smoke sensor technologies, including ionization, photoelectric, aspirating, infrared beam, and cloud-connected detectors, for early fire detection in homes, offices, data centers, and industrial settings.

Explore motion sensors, including PIR infrared sensors, microwave, ultrasonic, tomographic, gesture recognition, and vibration sensing, and their use in home automation, security, robotics, and industrial monitoring.

Explore how level sensors detect liquids, powders, and solids across industries, including float, capacitive, ultrasonic, radar, optical, and conductive types, with applications in water treatment, food, oil, and waste management.

Learn how image sensors convert light into electrical signals to form images for cameras, medical imaging, autonomous vehicles, and security systems, including CCD, CMOS, infrared, TOF, and hyperspectral sensors.

Humidity sensor measures water vapor and supports hvac, weather monitoring, and climate control; it covers capacitive, resistive, thermal conductivity, optical, and gravimetric types that convert humidity into signals.

Explore accelerometer sensor types - physio electric, capacitive, MEMS, Hall effect, and servo - converting acceleration into electrical signals for applications in smartphones, automotive safety, industrial monitoring, robotics, and aerospace.

Explore how optical sensors detect light to measure distance, presence, color, and motion across automation, healthcare, security, and robotics, including photodiode, phototransistor, fiber optic, and infrared sensors.

Explore sensor selection criteria for industrial systems, including measuring range, environment, digital output, intelligent sensors, accuracy vs precision, excitation, signal conditioning, and resilience to sudden temperature changes.

Explore actuators that convert energy into motion to move and control IoT-enabled systems. Learn how electric actuators use AC or DC motors to produce linear or rotary motion.

Pneumatic actuators use compressed air to generate fast, reliable linear motion, controlled by valves that extend or retract pistons in cylinders such as air cylinders on conveyors and pneumatic grippers.

Activate hydraulic actuators by pressurized fluid to create linear or rotary motion, providing high force for heavy duty applications such as forklifts, hydraulic brakes, landing gear, and metal forming presses.

Explore piezoelectric actuators and the physio electric effect, enabling precise, small movements with voltage-induced shape change. Compare electric, pneumatic, and hydraulic actuators for automation and robotics applications.

Explore wired and wireless connectivity and the range of industrial protocols, from Modbus and Profibus to MQTT and Copa constrained applications protocol, for reliable IIoT communication.

Explore serial communication protocols like rs232, rs422, and rs485 used in industrial automation to connect legacy equipment over short and long distances.

Explore Ethernet-based protocols like Ethernet, Profinet, and Modbus TCP for high-speed, deterministic data transfer in industrial automation and IIoT, detailing their layers, MAC addresses, and media.

Explore fieldbus protocols for real time, deterministic data exchange between field devices and the control system, including Profibus, Foundation Fieldbus, and DeviceNet.

Leverage wifi for wireless IoT connectivity with high data rate and broad coverage. Enable mobility, real-time processing, cloud and edge integration, and interoperable devices while addressing security and interference.

Bluetooth technology enables low power, short-range wireless communication for industrial IoT, supporting asset tracking, proximity monitoring, indoor positioning, and wireless sensor networks with mobile interfaces.

Explore Zigbee, a low-power, mesh-based wireless protocol for industrial IoT that enables self-healing networks, scalable device deployment, and secure interoperability with Modbus and Bacnet.

Explore wired and wireless communications in industrial IoT, comparing reliability, data rates, latency, power use, and deployment costs to build robust, flexible IIoT networks.

Explore MQTT, a lightweight publish-subscribe protocol for IoT, enabling efficient, low-overhead messaging between sensors and embedded systems through a central broker in unreliable networks.

Install an MQTT broker (HiveMQ, AWS IoT Core, Azure IoT Core, Google Cloud IoT Core, Eclipse Mosquitto, RabbitMQ) and configure ports, TLS, authentication, and ACLs; test with MQTT Explorer.

CoAP is a lightweight, RESTful protocol for constrained devices and low power networks, enabling a client-server model with request-response, publish-subscribe, and observe over UDP.

Explore opc ua, an open platform communication standard with a unified architecture that enables secure client-server and pub/sub data exchange among industrial devices for automation and the IoT.

Compare MQTT, CoAP, and OPC-UA to reveal IIoT models, publish-subscribe and request-response, and transports. Explain security and overhead: MQTT with TLS on TCP/IP, CoAP on UDP; OPC-UA with built-in security.

Acquire data from sensors and edge devices using protocols like OPC UA, Modbus, HTTP, and MQTT, then process it via edge and cloud analytics for predictive maintenance and secure governance.

Explore data acquisition and processing in IIoT, and see how real-time data drives operational efficiency, predictive maintenance, asset optimization, and quality, energy, and supply chain improvements.

Explore how data acquisitions collect and transmit sensor data to centralized systems for monitoring. Observe how edge devices pre-process, aggregate, and securely transfer data for analytics and predictive maintenance.

Explore edge computing, data normalization, enrichment, filtering, aggregation, and analytics in IIoT data processing to enable data-driven decision making, predictive maintenance, and operational optimization.

Explore edge analytics and real-time data processing at the data source, closer to PLCs and gateways. Reduce latency, optimize bandwidth, improve reliability, and enhance data security with edge processing.

Process data as it is generated in IIoT with real-time analytics, low latency, continuous and event-driven processing, enabling immediate actions, preventing downtime, and scalable insights.

Explore real-time analytics and edge processing across industrial applications—predictive maintenance, dynamic control, energy management, quality control, asset monitoring, worker safety, utilities, and smart transportation for data-driven decisions at the edge.

Explore how edge computing brings computation and data storage closer to the source, enabling real-time processing, faster decisions, and responsive IoT-enabled industrial automation.

Edge computing brings processing and storage near industrial equipment, enabling real-time analytics and decision making, enhanced security and privacy, reduced latency and bandwidth, and intelligent pre-processing at the data source.

Edge computing in IoT applications reduces latency by processing data at the source, improves bandwidth efficiency, enhances security by local data handling, and enables real-time analytics for immediate actions.

Edge analytics enable real-time decisions and lower latency by processing data at the edge, with pre-processing, anomaly detection, and machine learning inference for reliable, secure operations.

Discover how edge devices bridge local industrial machines and the cloud, enabling real-time data filtering, secure communication, and actionable insights through MQTT, OPC UA, and other protocols.

Explore how edge devices such as industrial gateways, industrial PCs (ipcs), smart sensors and actuators, edge AI devices, and PLCs enable local data processing and real-time control near industrial equipment.

Examine edge computing use cases across autonomous vehicles, remote asset monitoring, smart grids, predictive maintenance, hospital monitoring, cloud gaming, content delivery, traffic management, and smart homes.

Explore the advantages and disadvantages of edge computing in industrial IoT, including real-time processing, local decision making, and bandwidth optimization, with trade-offs like higher costs and data fragmentation.

Implement edge security to decentralize protection across sensors, gateways, and local networks. Enforce authentication, encryption, and remote updates to protect data in transit and at rest.

Explore hands-on Node-RED and MQTT Explorer to configure a local MQTT broker, install Node.js and npm, deploy flows, and publish temperature and boolean data to test MQTT dashboards.

Explore cloud computing basics, including on-demand access to remote storage and processing and scalable resources that reduce infrastructure costs. Learn cloud infrastructure components and providers like AWS, Azure, and GCP.

Explore cloud service models—IaaS, PaaS, SaaS, and FaaS (serverless)—delivering virtualized resources, development platforms, applications, and code execution, with deployment options like public, private, hybrid, and multi-cloud.

Explore IaaS, a cloud computing model offering virtual storage, networks, and virtual machines via the internet with pay-as-you-go use, highlighting cost effective access and security.

Platform as a service enables developers to build, test, and run applications with provider-managed tools via a web browser, emphasizing lifecycle management, limited infrastructure control, customization limits, and provider dependence.

Discover software as a service, a cloud-based model where a provider hosts apps accessible via a web browser, with updates and storage managed for you.

Explore function as a service (FaaS), a cloud model that runs code in response to events without server management, paying only for compute time. AWS Lambda is a common example.

Explore cloud deployment models that define ownership, control, and where infrastructure resides. Compare public, private, hybrid, and multi-cloud options to govern scalability, security, cost, and management for business.

Public cloud is infrastructure hosted by providers like AWS, Azure, or Google Cloud and shared across organizations via the internet, offering pay-per-use scalability and access with security and customization tradeoffs.

Private cloud provides a dedicated 1-to-1 environment for a single organization, hosted on premises or data center. It offers greater control and security, yet is less scalable and costlier.

Hybrid cloud blends public and private clouds to move data and apps for flexibility and cost efficiency, balancing control with scalability while supporting legacy and modern apps.

Explore multicloud strategies that use multiple public cloud providers to reduce vendor lock-in and boost redundancy, performance, and high availability. Recognize the complexity and security risks of multicloud deployments.

Explore cloud computing’s cost efficiency, flexible pay-as-you-go pricing, scalable resources, global data access, real-time collaboration, and automated maintenance, while considering downtime, limited control, vendor lock-in, and ongoing costs.

Store, manage, and analyze industrial time-series data in the cloud using data lakes and time-series databases, with etl pipelines, secure encryption, access control, and lifecycle management.

Explore storing IoT data in S3 by creating a storage rule, provisioning an S3 bucket and IAM role, and validating data flow from Node-RED with updated files and timestamps.

Learn to route IoT temperature data to S3 using a Kinesis Firehose stream, creating a continuous, timestamped json file store that preserves historical data without overwriting.

Orchestrate cloud data management by ingesting, storing, securing, and analyzing data with cloud native services. Catalog and govern data, and visualize insights with tools like Athena and Power BI.

This lecture covers security and privacy in cloud-based IoT, detailing threats to data integrity, availability, confidentiality, and privacy, and outlining zero trust, encryption, authentication, and edge-to-cloud best practices.

Explore how IIoT security defends devices and networks from cyber attacks using encryption, authentication, network and device security, data protection, monitoring, and patch management.

Explore cybersecurity challenges in industrial IoT, including legacy devices and patching difficulties. Analyze the expanding attack surface, weak authentication, and security gaps across remote access, cloud integration, and standardization.

Explore common IoT security protocols such as TLS, DTLS, SSH, IPsec, VPN, IEEE 802.1X, OPC UA security, X.509 certificates, and secure boot to protect data, devices, and industrial networks.

Explore how the Internet of Things enables smarter homes, businesses, and cities while addressing cybersecurity trends, data breaches, and proactive measures like encryption and monitoring.

Learn to protect IoT systems with DNS filtering, encryption, and device authentication, manage credentials, and apply zero trust using Microsoft Defender for IoT and AWS IoT Device Defender.

Examine vulnerabilities in IIoT, including default credentials, insecure protocols, unpatched firmware, hardcoded credentials, and poor network segmentation; assess third-party risk and insecure APIs that enable data leakage and device manipulation.

Identify industrial IoT vulnerabilities using tools for network scanning, device assessment, and protocol analysis, including Nmap, Wireshark, IoT Inspector, Modbus poll, and fence.

Analyze real-world IIoT security breaches, such as the Barracuda camera incident and Oldsmar water plant attack, to reveal credentials, remote access, and supply chain weaknesses.

Explore how IoT in healthcare faces cybersecurity breaches, exemplified by the Star Health data breach and ransomware on hospital systems, exposing terabytes of personal and medical data.