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 and irregularities in this
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 and making predictive maintenance
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, they have embarked on
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 to power AI-driven insights. The
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 is a time series
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 have been a persistent
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 own tail” – a
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 Real-time Maintenance (RtM) technologies to your production
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 for business processes should