Knowledge-Based Integration of Product Data in IoT-Platforms to Optimize Resource Efficiency

Abstract

In times of a global climate crisis, the industrial digitalization offers potential to economize on resources. PDM systems are a viable solution to organize product data in a single, central integration platform. These systems enhance the human workforce by managing product data and integrating modern CAx tools during the product development. Industrial IoT platforms on the other hand gain more significance in the integration and management of smart production processes expanding the data flow over later phases of the product lifecycle.However, between development stages and different data systems the loss of information due to media breaks in the value chain impedes the usage of a holistic data model. The underlying goal is to develop a complete digital representation during all phases of the product development. To expand the digital data model over the whole product lifecycle, the data exchange processes, and the path to a single true data model are the focus of method addressed in this paper.The collection and analysis of data from multiple sources in the production and usage phase have the potential to significantly optimize the resource efficiency over the whole product lifecycle by providing relevant product information at key stages of the product lifecycle. This method aims to close the gap between the two named data systems to expand the digital product representation employing a knowledge-based integration of information.The method develops a well-structured, generic approach to render users independent of provider-specific solutions. The analysis framework includes the phases of product development and production between which the potential for data exchange is shown.