The algorithmic and software implementation of theory of optimized Bayesian dynamic advising served as a basis for construction of advisory system intended to support the decision-maker.
To customise a particular advisory system, a large sample of historical data taken from managed process is analysed and processed offline. The obtained results are complemented by information about the expected advisory levels and decision-making aims.
A core of the advisory system forms Mixtools package, which has been implemented both: as a toolbox within MATLAB environment and as MATLAB-independent code. The MATLAB-like implementation is intended to serve to research and simulation purposes. Another implementation can be integrated with an existing control and/or monitoring system of the process managed and, thus, can serve to real-time, full-scale application.
The advisory system was implemented and extensively tested on several different case studies: prediction of urban traffic, treatment of thyroid gland carcinoma and fault detection and isolation problem. A real-time, full-scale industrial implementation of the advisory system on cold rolling mills confirmed the generic nature of the tool and illustrated the following key features of the solution:
- ability to tailor to specific system managed
- ability to support permanent adaptation
- ability to follow the best practice available
- ability to provide the strategy leading to the desired behaviour of system managed
- ability to cope with multiple decision-making aims
- ability to control the information load on the decision-maker (the techniques forming the core of advisory system are hidden from the decision-maker and advices are presented in easy-to-understand graphical form)
The system and its core Mixtools package are permanently innovated and improved. For the latest version, please, contact M. Kárný.
Contact:
Support of grants
- Dynamic clustering: theory, algorithms and software, Grant Agency of the Czech Republic CR No. 102/03/0049, 2002-2005
- Dynamic clustering for control of complex processes, Academy of Sciences of the Czech Republic No. S1075351, 2002-2005
Local SVN repository (accessible with password only):
http://mys.utia.cas.cz:1800/svn/mixtools