Managing Highly Contextualized Data for IIoT
Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns…
Maximizing IIoT Impact with Open Data, AI, and Advanced Analytics: A Comprehensive Guide
The Industrial Internet of Things (IIoT) is revolutionizing industries like manufacturing, energy, and logistics by creating smarter, interconnected systems that elevate productivity and efficiency. With IIoT, machines, systems, and sensors are linked in real time, streamlining industrial automation…
Enhancing Predictive Maintenance at Nordic Sugar: Insights into Steam Dryer Optimization
Nordic Sugar, a key player in the sugar production industry and a part of the Nordzucker Group, has been pioneering innovative maintenance strategies at its Nakskov plant in Denmark. As part of their continuous improvement efforts,…
Transition from Preventive to Predictive Maintenance Using Time Series Data with MAJiK Visual Factory and InfluxDB
MAJiK Systems creates software that helps manufacturing and industrial engineering companies improve their factory operations using data-driven manufacturing methods. The company designs a full suite of Visual Factory tools that use data from the machines themselves…
Why You Need a Time Series Database for Predictive Maintenance
In the industrial sector, unplanned downtime can lead to significant financial losses. Predictive maintenance offers a solution to this problem by identifying potential issues before they cause disruptions.One crucial component of an effective predictive maintenance system…
Elevating Predictive Maintenance: The Transformative Impact of IIoT
In the bustling arena of the industrial landscape, the repercussions of unplanned downtime resonate deeply. According to a study by Aberdeen Research, unplanned downtime can cost a company as much as $260,000 an hour. Such challenges…
Is predictive maintenance at a dead end?
Predictive maintenance has become a standard phrase in the equipment business and it is taking hold with OEMs. However, maintenance teams are not seeing much use for it. For them, “predictive maintenance is like chasing one’s…
How to achieve Overall Equipment Effectiveness (OEE) using Real-time Maintenance (RtM)
What if your production equipment was always available as planned? What if your cycle time was never compromised because of a damaged machine? What if your production equipment self-detected and alerted you of quality defects? Applying…
Industry Digitalization, Data-driven Process Optimization and Environmental Best Practices
In these times, there is no doubt that the advancement of digitalization in industry makes possible connected products and processes that help people, materials, energy, plant and equipment to be more productive and efficient. The repercussions…
How to Minimize Asset Failure with Predictive Maintenance
Existing maintenance solutions limit production. With the legacy tools and processes at their disposal, manufacturers commonly take reactive or scheduled maintenance approaches that present a multitude of challenges: Existing Maintenance approaches are costly: Up to $1.3M per hour…