Abstract
Construction machine ingress and maintenance is burdensome. Evaluating the operator’s physical load is thus important according to individual differences of the operators and machines. This paper presents a feasibility study for the physical load evaluation of two real-life operators of two excavator machines by motion measurement experiment in actual construction fields. Wearable inertial measurement units are used to capture the full-body posture of the operator. Insole foot pressure sensors and a strain gauge on the machine are used for measuring the contact forces. Physical load indices such as joint torques, the Ovako working posture analyzing system (OWAS), and the base-of-support (BoS) are calculated by kinematic and dynamic analysis of the digital human (DH). Applicability and effectiveness of evaluating physical load based on measurement in actual construction fields were discussed. Our results indicated that the joint torque evaluation is applicable to almost cases, however, the BoS and the OWAS are effective for a part of works.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Dorynek, M., Zhang, H., Hofmann, N., Bengler, K.: New Approaches to Movement Evaluation Using Accurate Truck Ingress Data. In: Duffy, V.G. (ed.) HCII 2021. LNCS, vol. 12777, pp. 110–121. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77817-0_10
Maruyama, T., Toda, H., Endo, Y., Tada, M., Hagiwara, H., Kitamura, K.: Digital Human Simulation for Fall Risk Evaluation When Sitting on Stepladders. In: Duffy, V.G. (ed.) HCII 2021. LNCS, vol. 12777, pp. 58–66. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77817-0_5
Greco, A., Caterino, M., Fera, M., Gerbino, S.: Digital twin for monitoring ergonomics during manufacturing production. Appl. Sci. 10, 7758 (2020). https://doi.org/10.3390/app10217758
Caputo, F., Greco, A., Fera, M., Macchiaroli, R.: Digital twins to enhance the integration of ergonomics in the workplace design. Int. J. Ind. Ergono. 71, 20-31 (2019). ISSN 0169-8141, https://doi.org/10.1016/j.ergon.2019.02.001
Maruyama, T., Tada, M., Toda, H., Riding motion capture system using inertial measurement units with contact constraints, Int. J. Auto. Technol. 13(4), 506–516 (2019). https://doi.org/10.20965/ijat.2019.p0506
Menychtas, D., Glushkova, A., Manitsaris, S.: Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment. J. Ambient. Intell. Humaniz. Comput. 11(12), 6093–6105 (2020). https://doi.org/10.1007/s12652-020-01926-y
Veikko, L., Timo S.: OWAS: a method for the evaluation of postural load during work, In: Pavi H. (ed.) Training Publication 11. Institute of Occupational Health, Topeliuksenkatu, pp. 2–20 (1992)
Yang, B.-S., Ashton-Miller, J.A.: Factors affecting stepladder stability during a lateral weight transfer: a study in healthy young adults. J. App. Ergonomics. 36, 601–607 (2005). https://doi.org/10.1016/j.apergo.2005.01.012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Maruyama, T., Furuya, T., Tada, M., Toda, H., Suzuki, I., Wada, Y. (2022). Feasibility Study for the Physical Load Evaluation of Construction Machine Ingress and Maintenance. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication. HCII 2022. Lecture Notes in Computer Science, vol 13319. Springer, Cham. https://doi.org/10.1007/978-3-031-05890-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-05890-5_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05889-9
Online ISBN: 978-3-031-05890-5
eBook Packages: Computer ScienceComputer Science (R0)