Research on Technology and Standards of Augmented Reality-Based Auxiliary Maintenance

Autor: Tingyu Ji, Shenglan Liao, Lun Wu
Rok vydání: 2019
Předmět:
Zdroj: 2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM).
DOI: 10.1109/aiam48774.2019.00156
Popis: This paper is prepared to analyze the current application of augmented reality in industrial auxiliary maintenance, study the basic framework of connectivity, data integration model and human-machine interaction way, and explore the standardized methods. The standard verification platform is built from two aspects of system level and typical auxiliary maintenance scenarios. The established standard is tested and verified, and the iterative optimization of the standard is realized through test verification.
Databáze: OpenAIRE