Optimizing industrial processes is meanwhile no longer just a question of economics, but also of major ecological relevance. Together with high caliber partners, APE Engineering implements concepts for achieving the globally optimized, energy efficient control of complete installations. This covers everything from the intuitive visualization of relevant process data to the globally optimized, automated control of a facility. Highly efficient data collection is a vital upstream function for this. In doing so, the data can be captured and processed directly by the control instrumentation via an OPC server or as a WinCC export. Also the use of intelligent data nodes based on the compact Raspberry Pi – which are integrated at a field level and used as loggers – make an important contribution towards process optimization.
When it comes to visualization and reporting, APE ATIS is a powerful and intuitive visualization tool which displays historic and realtime data in a modified layout.
Intelligent process control is a field in which APE Engineering has been involved for some time now in the framework of customer and development projects.
One concrete research project, for example, consists of optimizing a newly built sewage sludge incineration plant. Its goal is to develop a model-predictive control algorithm that optimally tunes the individual drying and incineration components with one another. By developing physical models for the components, predictions can be made about the consequences of changing the regulating variables (prognosis). While the most efficient process configuration for the prevailing circumstances can be determined from the prognosis in this way, the use of conventional controllers (PI, PID, fuzzy) and empirical values can also serve as the starting point for feasible implementations to improve a facility’s process efficiency.