• Process optimisation for single or multiple outputs

  Mosaic Portrait technology permits process optimisation on the basis of newly discovered systemic relationships between process input and output parameters. The method determines process settings, which result in the desired optimisation - increased product yield, improved product quality, reduction in material/energy consumption, reduction in operation time, etc. Mosaic Portrait can provide optimisation for both single and multiple outputs, for example: increase yield of a product with defined quality characteristics.
  
  The optimisation can be carried out with the existing process control systems without any additional capital expenditures.

• Prognosis for process outcome

  Mosaic Portrait prognostication is based on the mathematical model that deterministically correlates certain patterns in process settings to the occurrence of certain events. This ability to accurately predict the process outcome or occurrence of certain events can be of considerable benefit. Knowledge of forthcoming events enables the operator to undertake appropriate corrective measures in the process.

• Process commissioning and fine-tuning

  One of the most challenging stages in the process life is the stage of commissioning. Full-scale industrial application differs from the original small-scale settings and requires serious revision in order to meet targeted outputs. Similar difficulties arise in the commissioning of replica processes (that operate in other plants) since total replication of all conditions is impossible.
  
  Traditionally, technological process corrections are carried out on the subjective basis of experts’ experience, skills and intuition. In contrast to that, Mosaic Portrait technology provides totally formal and objective analysis of the data obtained during commissioning, and identifies areas for improvement.

• Correct settings for Automatic Control Systems

  Automatic control systems (ACS) are designed to automatically regulate process parameters in response to predetermined conditions. Effectiveness of the control system largely depends on the prior understanding of process relations. The main obstacle for successful application of ACS is in the non-linear nature of large technological processes. The pragmatic approaches, utilised in industry, are insufficient for the purpose and often rely on empirical procedures and ideas of experts.
  
  Unlike other traditional methods, Mosaic Portrait technology does not use subjective knowledge/experience/intuition of experts in the specialised field. Instead, Mosaic Portrait identifies objective systemic relations between input and output parameters in a technological process. These relations represent a new non-trivial knowledge (often very surprising revelations) about the process, which can serve as a rational, justified foundation for ACS settings.

• Situational process management

  Some technological processes may have input parameters that cannot be controlled (for example, raw material characteristics). In such cases, optimisation is performed on the basis of a situational programming method, where other operational settings are adjusted to accommodate possible variations in incontrollable input parameters.
  
  In cases of forced usage of out-of-specification raw materials, Mosaic Portrait can reduce to a minimum the negative impact of raw materials on the finished product yield or quality.

See Case Sudies