Development of an Intelligent Assistant for Applying Standardized Distributed Business Models
Abstract
Context and relevance. In the context of the digital transformation of the global economy, industrial digital platforms and ecosystems based on standardized distributed business models play a key role. The theoretical foundation of the study is the Reference Architectural Model Industrie 4.0 (RAMI 4.0), which enables the integration of production assets into a multidimensional structure. Objective. To develop an AI assistant for automating data entry into the RAMI 4.0 reference model and updating knowledge bases in distributed ecosystems. Hypothesis. Intelligent classification of elements, determination of coordinates in the RAMI cube, and validation based on ontological models will automate the creation of knowledge bases about production assets and enhance the efficiency of cyber-physical systems management. Methods and materials. Theoretical-information analysis of the concepts of the standardized RAMI 4.0 model in accordance with IEC 62890 and other knowledge modeling standards; formalization of the AI assistant functions using data arrays and knowledge bases on production assets; modeling of information exchange processes between participants in industrial digital platform ecosystems. The prototype was implemented on the Google Colab platform using Python libraries (Scikit-learn, NLTK, OWL API). Fuzzy logic methods were applied to process textual and linguistic data about production assets. Results. An ontological model of the RAMI 4.0 reference model has been developed, with its concepts, predicates, and subclasses defined for the first time; the functions of the AI assistant have been formalized along with operations on data; a data structure has been proposed for integrating the AI assistant with ERP systems. Conclusions. The AI assistant enables automated knowledge base population, contributing to the formation of ecosystems of production enterprises and consortia operating with Industry 4.0 technologies.