Development of a HoloLens Mixed Reality Training System for Drop-Out Fuse Operation

Autor: Chibing Gong, Ruiling Xie, Deyun Ye
Rok vydání: 2020
Předmět:
Zdroj: Emerging Trends in Intelligent and Interactive Systems and Applications ISBN: 9783030637835
DOI: 10.1007/978-3-030-63784-2_58
Popis: Drop-out fuse is the most commonly used type of protection switch for 10kV distribution lines and distribution transformers. The operations of opening and closing drop-out fuses are high-risk processes, and such live maintenance accidents can be fatal. This paper presents a framework of a training system for drop-out fuse operation. The developed system is based on HoloLens mixed reality and speech recognition technology to train students for drop-out fuse operation. The system has two modules: drop-out fuse structure and drop-out fuse operation. Three modes of operation are included in each module: learning, practice, and evaluation, which can be visited according to the students’ level of skill. The proposed training system has low cost, occupies small space, can be used at any time, and guarantees the personal safety of students during the training operation.
Databáze: OpenAIRE