A knowledge-based system for real-time validation of calibrations and measurements

In this contribution, a knowledge-based system is presented which is able to identify faults during measurements and calibrations of a flow injection analysis (FIA) system. The knowledge-based system is a subtask of the automation system CAFCA, which can be used for the automation of flow systems, and runs on MS-DOS-PCs. The knowledge-based system consists of a numerical module as well as a knowledge-based module, where the knowledge about the process analyser is implemented using rules. Using these rules faults will be identified fast and reliable. If a fault has been detected, the operator is informed automatically. Furthermore, minor faults can even be corrected by the knowledge-based system. The application of the system shows that it is an efficient support for the operator.