EngineeringIndustry 4.0Manufacturing

Flowfinity helps with the deployment of industrial IoT

Flowfinity is aiding manufacturers in gaining a competitive edge by facilitating the deployment of IoT at their existing facilities.

The manufacturing sector is increasingly adopting industrial IoT for monitoring and control, with 85% of surveyed leaders either implementing or planning to implement IoT within the next few years. In an inflationary environment, the need to maximise asset ROI while minimising losses from unplanned downtime and material waste has never been more critical.

However, many IoT deployments are often restricted to basic data collection. The considerable complexity and cost of upgrading equipment to integrate machine data into workflows and automate processes remain challenging for all but the most advanced firms.

To address this, Flowfinity offers pre-integrated hardware and software solutions that can be retrofitted to existing facilities without the need for coding. This makes advanced IoT technology accessible to firms of all sizes, seamlessly connecting people and processes with machine data for enhanced efficiency, reduced material waste, and extended asset lifecycles.

“Flowfinity IoT solutions are designed to reduce the cost and complexity of upgrading manufacturing facilities at any scale,” said Larry Wilson, Vice President. “Our pre-integrated M1 Controllers and Streams database collect and process high-frequency IoT sensor data into an optimized time-series database, driving business process automation and 24/7 asset monitoring to help any manufacturer reduce costs and gain competitive advantage.”

One key benefit of adopting IoT solutions is improved maintenance, which prolongs the lifecycle of manufacturing equipment. Another is reducing waste to address the rising cost of materials and energy, which has significantly impacted manufacturers.

Flowfinity’s IoT solutions provide continuous data streams for real-time machine monitoring, enabling more proactive maintenance. Additionally, process automation via Edge computing helps minimise waste and excessive energy consumption.

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