In many industrial organizations, operations and maintenance teams still walk into work with more uncertainty than confidence. There are checklists to follow, logs to review, and a familiar set of problems that always seem one step ahead. Something breaks, someone reacts, and the system limps forward. That rhythm is common across transport, utilities, manufacturing, and […]
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Every predictive maintenance model, every digital twin simulation, and every real-time dashboard in a modern factory depends on one thing: trustworthy time series data. Yet bad data, whether caused by sensor drift, network gaps, or timestamp misalignment, silently erodes the accuracy of industrial analytics and can cost manufacturers millions in unplanned downtime. This IIoT World […]
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Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime.Modern industrial systems continuously generate time-stamped data from sensors, PLCs, SCADA systems, and other connected devices. Known as time series data, this information reflects how conditions change over time, tracking […]
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Achieving world-class Overall Equipment Effectiveness (OEE) is a top priority for manufacturers, yet most facilities operate well below the 85% benchmark that separates leaders from laggards. Predictive maintenance powered by the Industrial Internet of Things (IIoT) is proving to be one of the most effective levers for closing that gap. In this guide, IIoT World […]
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AI copilots are rapidly moving from concept to production-ready tools on manufacturing floors worldwide, assisting operators with real-time decision support, anomaly detection, and process optimization. In this IIoT World guide, we explore how intelligent assistance systems differ from traditional automation, what makes a manufacturing AI copilot effective, and where these tools deliver the fastest return […]
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Combining predictive maintenance (PdM) with Overall Equipment Effectiveness (OEE) gives manufacturers a powerful, data-driven roadmap for eliminating unplanned downtime while maximizing asset utilization. In this article, IIoT World walks through the practical steps for integrating condition-monitoring sensors, machine learning models, and OEE dashboards into a unified system that turns raw vibration, temperature, and current data […]
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At the Impact 2024 event, Aker BP and Cognite revealed an in-depth look into their digital transformation journey. This narrative, centered on data integration, technology, and human expertise, offers valuable insights into how a company have learned and can drive operational excellence through strategic partnerships and innovative solutions.Aker BP’s Challenge: Navigating Data Silos in Industrial […]
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The smart grid transformed modern energy management by integrating digital technology into traditional power grids. It enhances real-time monitoring, control, and optimizes energy distribution and consumption. This change is crucial for meeting the growing need for reliable, sustainable, and efficient energy systems.Data is essential for this to work. Readings from sensors, devices, and machine controls […]
Read more →![[Use case] Improve Robotic Welding Performance Using Real-Time Monitoring System](https://iiot-world.com/wp-content/uploads/2022/12/robotic-welding-1024x683.jpg)
A large manufacturer produces hundreds of parts for an industrial distributor of multiple vehicle types. Challenges Throughout the plant, automated robotic welding systems are utilized. The motor supplying wire feed to the welding gun often wears. Irregular wire feeding causes the wire to buckle and jam. This means unplanned stoppages and downtime of the welding […]
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