Design of real-time monitoring and optimization system for industrial robot assembly process based on digital twin
Year: 2026
Type: conference-paper
Abstract: In order to improve the real-time transparency, operation stability and process adaptability of industrial robot assembly process, a real-time monitoring and optimization system of industrial robot assembly process based on digital twin technology is designed. System by building high fidelity mapping between physical and virtual assembly unit model and real-time interaction, implement assembly process of all elements of the digital emersion, state synchronization perception and dynamic optimization strategy. This paper systematically expounds the key technologies of multi-source heterogeneous sensor data fusion, virtual and real synchronous modeling, real-time simulation and intelligent optimization decision, and puts forward a complete set of digital twin system framework and technical implementation path. The research results show that through the establishment of accurate sensors data fusion model with the actual situation of synchronous mechanism, can effectively improve the accuracy of the state of perception and real time; The optimization method based on feature extraction and reinforcement learning can realize the online adaptive adjustment of assembly process parameters. Combined with real-time simulation and predictive analysis, an intelligent assembly system with high reliability and flexibility can be constructed to meet the needs of complex assembly tasks. Practical application shows that the system in the pilot significantly enhance the qualified rate of the assembly on the assembly line and comprehensive efficiency of equipment, its technical feasibility is verified and engineering practical value.
Institution: Liaoning Vocational University of Technology
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204968495