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Keywords and Definitions in Our Field
Browse through all the essential terms that define our website’s content, from the information and news featured in our articles, to the core concepts of Industry 4.0 and 5.0.
Technology that overlays digital information onto the physical world to support tasks such as remote assistance or training.
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A highly digitized production facility using automation, AI, and real-time data to improve efficiency and adaptability.
The direct exchange of information between machines without human intervention, crucial for automated manufacturing.
Processing data closer to the source (e.g., machines or sensors) to reduce latency and improve response times.
A proactive maintenance strategy that uses data analytics to forecast equipment failures before they occur.
An Industry 5.0 concept focusing on collaboration between humans and machines to enhance creativity, safety, and well-being.
The simulation of human intelligence by machines to perform tasks like decision-making, problem-solving, and pattern recognition.
The IIoT is a network of connected devices and sensors within industrial environments to collect and exchange data for smarter decision-making.
Production methods designed to minimize environmental impact while optimizing resource efficiency.
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Systems that integrate physical machinery with digital software, enabling real-time monitoring and automation.
The latest generation of mobile networks offering faster speeds and lower latency, enabling real-time industrial communication.
The strategic adoption of digital technologies to fundamentally change how a business operates and delivers value.
A supply chain that can adapt quickly to disruptions while maintaining continuity and performance.
Robot designed for safe human collaboration, assisting in tasks like assembly, pick, and test.
RTLS: technologies such as UWB, BLE, RFID to track assets, WIP, and tools indoors.
Running ML inference at the edge to cut latency and bandwidth while protecting data.
Live twin fed by real-time telemetry to test scenarios and optimise throughput.
Application of data, analytics, and connectivity to prevent defects and speed release.
Unified architecture combining low-cost storage with SQL analytics for structured and time series data.
Supervisory system for real-time monitoring, control, and alarm management across plants.
Composite KPI measuring availability, performance, and quality to quantify production efficiency.
Continuous tracking of asset health indicators to detect early signs of failure.
Contextual, step-by-step guidance delivered on wearable or mobile devices for operators.
Coordinated deployment and lifecycle management of apps across distributed edge nodes.
Real-time data hub that exposes a single, structured topic tree for all shop-floor and enterprise events.
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