The engineering of production monitoring and control systems has to be done before it can be taken into operation. This engineering splits up into different tasks: engineering of plant components, engineering of I/O, and engineering of process visualization. Today, these tasks are mainly processed manually, are time- and cost-intensive and error-prone.
The project IDA deals with interoperable semantic data fusion for the automated provision of view-based process visualization. Its goal is to increase efficiency in the engineering process and to simplify and improve the subsequent operation phase. This contribution provides an overview about the general architecture developed in the project and highlights several aspects of the developed methods and tools.