We also offer the following consultancy services:
The term "data rich, information poor" is very appropriate in many of today's industrial systems. ISC has been involved with a number of process analysis projects, where the aim is to translate the vast amount of data captured by control systems into meaningful information. This can be used for control loop performance monitoring or fault detection.
Once a model of a system has been defined, formal optimisation methods can then be used to find the best solution to a problem. This can range from finding the best tuning parameters for a difficult control problem, or determining the most profitable / best way of operating a plant or system. Optimisation can be applied to static and dynamic problems, including both hard and soft constraints and conditional logic. Methods used include Quadratic Programming, Gradient Searches, Genetic Algorithms.
From time to time ISC is asked to undertake reviews of technologies related to automation and control. We use our first-hand knowledge of the needs of industry to provide an impartial assessment of a technology, either for a potential end-user or for a vendor looking for technical endorsement.