14:45 - 15:30
1. The cloud-based, open IoT operating system from Siemens: MindSphere. For the digital transformation of companies regardless of industry or size.
2. Use case: MindApp: Control Performance Analytics
Efficient plant optimization through Process Data Analytics
You will learn how to unleash hidden optimization potential of your plant and how to start your journey into Control Performance Analytics.
How to add a new layer of transparency to your plant by analyzing your process data. How to take the first step and check the status of your control loops.
In the process industry, control performance is an important lever for reaching production targets. The single control loop is the initial core for each process application. Studies have shown that approximately half of all control loops are not well tuned, approximately 25 percent are ineffective, and another quarter show decreasing performance. About one third of all control loops are running in manual mode and 25 percent still use the parameters defined during commissioning. In many cases, bad control performance also indicates asset problems such as static friction.
Furthermore, in a typical large-scale process plant, the average process engineer is in charge of hundreds of control loops. The evaluation of control performance in different process states in correlation to alarms requires a lot of time and expertise. The detection of possible areas for optimization and tuning of control loops is not a one time job due to continuous process changes and wear and tear of equipment.
Plant wide transparency
Learn how fully automated Control Performance Analytics can provide reliable results on a regular basis and via a secure web portal. This ensures effective collaboration of all levels - from the plant manager to the process operator. You will discover how measurable optimization results are obtained through long term availability of data.