A Scalable AI-Driven Chatbot for Real-Time Diagnostics in Manufacturing Plants: Merging Google Dialogflow, BERT, and a Self-Learning Module
Oguike Ahaneku, Maximilian Siegl, Sarah Stromberger, Radu Vidrascu · 2023
In this paper, we introduce a scalable, AI-driven chatbot designed for real-time diagnostics in Industry 4.0 manufacturing plants. By incorporating Google Dialogflow and a plant-specific knowledge graph, the chatbot enables seamless interaction with users while requiring minimal reconfiguration when adapting to new environments. The integration of BERT in the back-end empowers the chatbot to efficiently identify errors. Furthermore, a self-learning module continuously scans the manufacturing execution system (MES) database for new errors, generating learning data for the automatic re-training of the BERT-based neural network. Although there are opportunities for refinement, the chatbot exhibits significant potential as a scalable, supplementary first-line support system in the manufacturing sector.