大多数现代控制系统收集数据 - 数据群。一些控制系统每秒存储每秒30或90天的每个模拟输入。也许您的系统在CSV文件或SQL数据库中收集数据。安装控制系统后，积分器可能已经询问您要收集哪些数据。但是，您如何知道您需要收集的数据或不需要收集哪些数据？因此，我们收集了全部。
If we are lucky, we might see trends that help us interpret how the process is performing. We might use logged data to determine what went wrong after a process upset. We might use data to refine the tuning on a loop. These are all good ways to use data, and likely have added some incremental value to your facility.
但是你的工厂数据仍有未开发的价值? What if you could remove bottlenecks and increase your facility’s production by 5 percent? What if you could reduce steam usage and reduce the amount of energy needed to produce each unit of product by 5 percent?
Could you leverage your facility’s data, analytics and model predictive control to produce tangible value? Perhaps a 50 percent reduction in variability, 5 percent reduction in energy input per production unit and/or 5 percent increase in product produced.
Model predictive control (MPC) is an advanced process control technique that solves complete process control scenarios to determine the optimal settings for control variables. MPC is uniquely capable of optimizing processes that have significant lag time, such as temperature control processes like heating, evaporation and drying processes.
成功的MPC项目始于数据。还记得您收集的所有数据吗？您可以将其用于MPC项目，该项目可节省您的资金，并具有计算和可靠的投资回报。
Start with the data and use analytics to determine which process variables are interacting with other process variables. Combine analytics with process expertise, and you can build complex models, matrices of manipulated variables, disturbance variables, controlled variables, hard constraints, soft limits and desired setpoints. These models configured in an MPC solver and integrated into a modern control system can often provide significant improvements in productivity and efficiency and reduced variability of finished products.
考虑使用MPC和分析将数据转化为利润。
Monte Vander Velde是战略项目经理Interstates Control Systems Inc., a certified member of theControl System Integrators Association(CSIA). For more information about Interstates Control Systems, visit its工业交易所的个人资料。
