Research on modeling the information model of industrial robots for intelligent KPI evaluation

Zhi Wang; Pengzhong Li; Liang Luo

doi:10.1117/12.2646781

7 September 2022 Research on modeling the information model of industrial robots for intelligent KPI evaluation

Zhi Wang, Pengzhong Li, Liang Luo

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232908 (2022) https://doi.org/10.1117/12.2646781
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Key performance indicators are important tools for enterprises to evaluate smart manufacturing. However, equipment data on the workshop is Multi-Source Heterogeneous Data that is difficult to interconnect, and equipment state is affected by multiple mutually coupled factors, resulting in the inability to accurately calculate KPIs. A standardized information model is the key to solve the problem. Therefore, this paper addresses the problem that intelligent KPI evaluation data is difficult to integrate and multi-source, analyzes the connection between KPI calculation parameters and different production states of equipment, and decouples the multi-source factors that distinguish equipment states from multiple dimensions, while clarifies the information model architecture of industrial robots and establishes a semantically consistent and standardized information model of industrial robots according to OPC UA specification.

Citation Download Citation

Zhi Wang, Pengzhong Li, and Liang Luo "Research on modeling the information model of industrial robots for intelligent KPI evaluation", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232908 (7 September 2022); https://doi.org/10.1117/12.2646781

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