In a $60 billion market – SmartPumps make a huge impact
The industrial pump market size is somewhere around $60 billion, growing at over 5% CAGR. Considering the enormous global installed base, though hard to estimate, the product group has a huge impact on both energy usage and overall economy just on its own, but even more so when considering the extended product. There are numerous initiatives, including EU regulation work, to increase pump efficiency and to extend their life and for a reason. When we add to the above numbers the average life of an industrial pump, 15-20 years, we start to understand the enormity of this sector.
Over the past few months, the IIoT market has shown a lot of activity in the pumps area. Pumps are often associated with critical processes, so the need for intelligent applications and the demand for implementations especially in the aftermarket have been seen for years. The most recent change in the market is the increase in activity among manufacturers in this space. Many manufacturers are implementing applications that can provide better lifecycle management and optimization, provide tools to distributors in value-added production and, in the long run, increase client intimacy and use information to further develop the product.
Distence offers a complete platform and tools for these applications. Our implementations range from simple monitoring of hours of operation to more complex and more holistic applications. The collected and analyzed data is typically accelerations (vibration levels at different frequencies), rpms, temperatures (fluids, environment, device), Pressure, Flow, Power Consumption, Oil Quality, Valve Position etc. The data is then used for analysis, for example vibration, through which we can identify and read failing bearings or imbalances to avoid damage. Comparing multiple values provides information on the efficiency of the operation, for example flow and the relative difference in energy consumption. From the critical events we can build statistics, giving the user an indication of improper use or clarifying operating instructions, e.g. after dry operation. When analyzing long-term information, it is possible to see how different variables and different uses affect the life cycle of a device and further determine the necessary actions.
Benefits include also a better understanding of the root causes in warranty discussions on user errors, defects in manufacturing, or improperly sized devices. Scheduling maintenance based on usage (time and use) often improves the predictability of maintenance and generates cost savings compared to traditional calendar-based maintenance practices.
The Distence solutions makes the best from both edge-computing, turning data already at the device level to smart data and then doing further analysis on the smart data on the Condence-platform. The information is then not only presented to the operations and business side or fed into other systems, but also fed back to the device level for further use. The Distence solution offers a platform for the use of AI and neural networks for more sophisticated solutions.