Abstract:

There are a mass of real-time data sampled from the manufacturing processes of process industry, and it is very important to take the most advantage of these data with suitable and effective methods. It can make the production keep well-balanced, improves the management of production, and alerts people to any danger. Unfortunately, the process data are abstract and lack of readability and intelligibility. Hence an Ontology-based approach is presented for the design and implementation of industrial integrated alarm management systems. First, it is discussed that how to implement an ontology-based method to construct a multilevel knowledge base system that contains detector level, location level and process level alarms. Then an intelligent ontology management sub-system is added to the real-time supervisory system. The reasoning mechanism and integrated interactive interface are shown consequently. Finally, the design and implementation of Ontology-based industrial integrated alarm management systems are introduced and analyzed. An application example is presented to verify the proposed method.