Abstract
Current process control algorithms are complex software systems that need regular maintenance in order to keep a high uptime. Experience shows that the process of understanding an algorithm by tracking signal dependencies throughout the system and recognizing a problem is a major challenge for the maintenance personnel while actually performing the needed modifications to the algorithm is relatively simple. This problem is addressed by a computer science approach to automate the tracking of signals and supply tools for monitoring running control systems, identifying failing parts of the control algorithm and alleviating the task of exploring complex control systems.
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