Operating process plants goes along with different tasks, e. g. control and optimization of the production and maintaining availability of the plant. There are several subsections of operations who deal with the state of the plant and the processes it runs. They are all dependent on information which is gathered throughout the plant. Most of this data is acquired for the automatic control, regulation, and safety gear and is processed in real-time. Apparatuses and other equipment are usually not equipped with measurement devices which are dedicated to monitor their state. For being able to recognize specific quality attributes, states of the plant, or maintenance needs, the existing measurements have to be combined and condensed by calculations. This methodology can be split into the following steps: data acquisition, design of evaluation models, integration of these models, and assessment of findings including inferring actions. This thesis addresses software aspects of this methodology. It tries to answer the key question „How to build an infrastructure, which shall be based on common standard technologies, in which all steps to engineer equipment models may be automated?“ by proposing a concrete infrastructure. A technique has been designed to continuously acquire data for further processing in equipment models without any changes to existing systems. The process of design and implementation of equipment models has been supported by a purpose-built tool. This tool puts out the designed models in a uniform structure to allow uniform model integration. This integration has been automated using the plant’s engineering data. An execution platform has been developed based on open technologies. Infrastructure and model structure have been designed to easily integrate calculation results into standard tools for being able to use them in common work environments. It enables the different subsections of operations in a plant to apply generic equipment assessment models on concrete equipment instances. Using the output of the models, they shall be enabled to perform their task in an easier or better manner. The technical requirements and prerequisites have been analyzed. Using the resulting conclusions, a concept to integrate models has been developed and the options to automate it have been discussed. This concept has been implemented prototypically. This implementation includes a runtime component and two tools to support development of models and their instantiation. It has been used to prove the feasibility of the concept.