PLC

Internet of Things

The network of physical devices embedded with sensors, software, and connectivity that exchange data over the internet.

Sensor

A device that detects and measures physical properties like temperature, motion, or light and converts them into data.

Actuator

A device that converts energy into motion to control a mechanism or system based on received commands.

Embedded System

A dedicated computer system designed for specific functions within a larger mechanical or electrical system.

Firmware

Permanent software programmed into a hardware device's read-only memory that controls its basic functions.

Edge Device

A computing device at the boundary of a network that processes data locally before sending it to the cloud.

Condition Monitoring

Continuously tracking equipment parameters to detect changes that indicate developing faults.

Industry 4.0

The fourth industrial revolution characterised by smart automation, IoT, cloud computing, and AI in manufacturing.

Wearable Technology

Electronic devices worn on the body that collect data, track activities, and provide notifications or feedback.

Smart Grid

An electrical grid using digital communication and IoT to monitor and manage electricity distribution efficiently.

SCADA

Supervisory Control and Data Acquisition — a system for monitoring and controlling industrial processes remotely.

OPC-UA

Open Platform Communications Unified Architecture — a machine-to-machine communication protocol for industrial automation.

A virtual model of a physical device or system that simulates its behaviour for monitoring and optimisation.

The process of configuring and enrolling IoT devices into a management platform for secure operation.

Constrained Application Protocol — a specialised web transfer protocol for use with constrained devices in IoT networks.

An urban area using IoT sensors and technology to collect data and manage resources, services, and infrastructure efficiently.

Verifying the identity of IoT devices before allowing them to connect to a network or service.

A distributed computing paradigm extending cloud capabilities to the edge of the network for IoT processing.

A database optimised for handling time-stamped data, commonly used for IoT sensor data and metrics.

Using IoT sensor data and analytics to predict when equipment will fail and schedule maintenance proactively.