Modelling is a process where a combination of theoretical knowledge and virtual measurement data are combined to form an appropriate mathematical formulation of a real process. All complex control systems are based on some form of mathematical model of the process to be controlled. The better the model is adapted to reality, the more efficient the control system can be designed. With a more efficient control system, a process can be controlled for improved utilization of raw materials and energy and/or it may be controlled to obtain a better quality in the end product.

Describing the process knowledge in terms of mathematical models that may be utilized for process control opens new possibilities. Mathematical models may be used as the basis for off-line process simulators of various types.

For example, a simulator may be used to investigate the effects of different options, without having to test the ideas in a costly (and sometimes even dangerous) full scale trial. When the relevant knowledge is stored in a suitable simulator, a production manager, process engineer or an operator will have an efficient tool to support decisions, even in more complex cases.

Innventia has a vast experience in building models, based on large amounts of measured data and a solid theoretical basis.