Introduction
Efficient machine utilization for maximum productivity
Condition monitoring is evolving with IoT as the advanced ecosystem allows continuous monitoring of all factory assets.
Today IoT condition monitoring sensors are not only added to heavy, high-end machinery but also onto small systems such as machine spindles, conveyor belts, and machine tools that need predictive maintenance. Continuous and real-time condition monitoring helps in taking immediate action rather waiting for failure to happen, thus ensuring optimal availability of the machinery. The data collected over a period of time provides valuable information about the current as well as future state of asset.
Wimera’s products and solutions play a critical role in reducing machine downtime, optimal maintenance cost and increased asset life.
Problem
Lack of data in the machine results into a most common challenge faced at the shop floor – over maintenance or under maintenance. Both of these situations result in machine breakdown, downtime, or increased costs.
- Machine downtime
- Impact of productivity
- Inefficient equipment utilization
Solution
The advanced IoT solutions provide continuous condition monitoring by collecting machine data which facilitates intelligent decisions via AI/ML system. This real-time machine data is through the use of accurate and reliable sensors.
Based on the diagnostic data, you will get in a better position to predict maintenance time, prevent breakdown, unexpected costs, and downtime.
- Automatic collection and standardization of PLC data
- Connect sensors and manage equipment through web interface
- Transform machine data into usable and actionable insights
