Working stage identification of hydraulic excavator

Jingming Zhang; Haoyang Sun; Nianning Luo; Mengjiao Wang

doi:10.1117/12.2602988

2 July 2021 Working stage identification of hydraulic excavator

Jingming Zhang, Haoyang Sun, Nianning Luo, Mengjiao Wang

Author Affiliations +

Proceedings Volume 11887, International Conference on Sensors and Instruments (ICSI 2021); 1188714 (2021) https://doi.org/10.1117/12.2602988
Event: International Conference on Sensors and Instruments 2021, 2021, Qingdao, China

Abstract

The identification of the working stage is of great significance in the study of energy saving of excavators. In this paper, computer vision is introduced into the excavator's work cycle stage recognition, and the YoloV2 algorithm is used to establish a deep vision target detector to locate and classify these three characteristic parts (bucket, the arm joint and the body). In order to solve the problem of visual misjudgment, this paper proposes a method that comprehensively considers pump pressure information and visual information. Combining the general action sequence of the excavator under normal operation, a state machine is established. All working stages are set to states, and transition conditions are set according to pressure and visual information to realize state switching. This method has been applied in the working process of a certain model of excavator, and the various working stages can be correctly judged according to the operating results.

Citation Download Citation

Jingming Zhang, Haoyang Sun, Nianning Luo, and Mengjiao Wang "Working stage identification of hydraulic excavator", Proc. SPIE 11887, International Conference on Sensors and Instruments (ICSI 2021), 1188714 (2 July 2021); https://doi.org/10.1117/12.2602988

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