Visual occlusion obstacle detection model based on finite element analysis in virtual environment

Qidi Zhou; Dong Zhou; Shunfeng Mei; Aimin Hao

doi:10.3850/978-981-11-2724-3_0343-cd

Visual occlusion obstacle detection model based on finite element analysis in virtual environment

Qidi Zhou, Dong Zhou, Shunfeng Mei, Aimin Hao

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

At present, the innovation and development of industrial technology increasing demand for high reliability and high quality, maintainability design and verification has become an indispensable research field in the process of equipment design. Because of affecting the efficiency and completeness of maintenance operations, visual occlusion has become a key factor in maintainability design. At present, virtual maintenance technology has been able to simulate the process of equipment maintenance in the virtual space, in order to discover equipment design defects in advance. However, the current researches focus on the evaluation of visual occlusion by using maintenance criteria and expert experience. Subjective judgment and non-automation are the two major problems limiting the development of the visibility design. To solve these problems, this paper proposes a visual occlusion obstacle detection model based on finite element analysis in virtual environment. The model achieves visual occlusion obstacle detection through the Secondary development of DELMIA (Digital Enterprise Learn Manufacturing Interactive Application) software, which is widely used for maintainability evaluation. By combining finite element analysis and the mathematical model of visual occlusion obstacle detection algorithm, the model achieve the automatic and parametric evaluation. In addition, a case is conducted and verified the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
Editors	Michael Beer, Enrico Zio
Publisher	Research Publishing Services
Pages	699-706
Number of pages	8
ISBN (Electronic)	9789811127243
DOIs	https://doi.org/10.3850/978-981-11-2724-3_0343-cd
State	Published - 2020
Externally published	Yes
Event	29th European Safety and Reliability Conference, ESREL 2019 - Hannover, Germany Duration: 22 Sep 2019 → 26 Sep 2019

Publication series

Name	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019

Conference

Conference	29th European Safety and Reliability Conference, ESREL 2019
Country/Territory	Germany
City	Hannover
Period	22/09/19 → 26/09/19

Bibliographical note

Publisher Copyright:
© 2019 European Safety and Reliability Association. Published by Research Publishing, Singapore.

Funding

This work is founded by National Key R&D Program of China(2017YFF0106407).

Funders	Funder number
National Key Research and Development Program of China	2017YFF0106407

Keywords

Delmia secondary development
Finite element analysis
Sight interference detection
Virtual environment
Visual accessibility
Visual occlusion obstacle

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3850/978-981-11-2724-3_0343-cd

Cite this

Zhou, Q., Zhou, D., Mei, S., & Hao, A. (2020). Visual occlusion obstacle detection model based on finite element analysis in virtual environment. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 699-706). (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019). Research Publishing Services. https://doi.org/10.3850/978-981-11-2724-3_0343-cd

Zhou, Qidi ; Zhou, Dong ; Mei, Shunfeng et al. / Visual occlusion obstacle detection model based on finite element analysis in virtual environment. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. editor / Michael Beer ; Enrico Zio. Research Publishing Services, 2020. pp. 699-706 (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019).

@inproceedings{cc92ce54ed3048469acd71d911590017,

title = "Visual occlusion obstacle detection model based on finite element analysis in virtual environment",

abstract = "At present, the innovation and development of industrial technology increasing demand for high reliability and high quality, maintainability design and verification has become an indispensable research field in the process of equipment design. Because of affecting the efficiency and completeness of maintenance operations, visual occlusion has become a key factor in maintainability design. At present, virtual maintenance technology has been able to simulate the process of equipment maintenance in the virtual space, in order to discover equipment design defects in advance. However, the current researches focus on the evaluation of visual occlusion by using maintenance criteria and expert experience. Subjective judgment and non-automation are the two major problems limiting the development of the visibility design. To solve these problems, this paper proposes a visual occlusion obstacle detection model based on finite element analysis in virtual environment. The model achieves visual occlusion obstacle detection through the Secondary development of DELMIA (Digital Enterprise Learn Manufacturing Interactive Application) software, which is widely used for maintainability evaluation. By combining finite element analysis and the mathematical model of visual occlusion obstacle detection algorithm, the model achieve the automatic and parametric evaluation. In addition, a case is conducted and verified the effectiveness of the proposed method.",

keywords = "Delmia secondary development, Finite element analysis, Sight interference detection, Virtual environment, Visual accessibility, Visual occlusion obstacle",

author = "Qidi Zhou and Dong Zhou and Shunfeng Mei and Aimin Hao",

note = "Publisher Copyright: {\textcopyright} 2019 European Safety and Reliability Association. Published by Research Publishing, Singapore.; 29th European Safety and Reliability Conference, ESREL 2019 ; Conference date: 22-09-2019 Through 26-09-2019",

year = "2020",

doi = "10.3850/978-981-11-2724-3_0343-cd",

language = "אנגלית",

series = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",

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Zhou, Q, Zhou, D, Mei, S & Hao, A 2020, Visual occlusion obstacle detection model based on finite element analysis in virtual environment. in M Beer & E Zio (eds), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, Research Publishing Services, pp. 699-706, 29th European Safety and Reliability Conference, ESREL 2019, Hannover, Germany, 22/09/19. https://doi.org/10.3850/978-981-11-2724-3_0343-cd

Visual occlusion obstacle detection model based on finite element analysis in virtual environment. / Zhou, Qidi; Zhou, Dong; Mei, Shunfeng et al.
Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. ed. / Michael Beer; Enrico Zio. Research Publishing Services, 2020. p. 699-706 (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhou, Dong

AU - Mei, Shunfeng

AU - Hao, Aimin

PY - 2020

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N2 - At present, the innovation and development of industrial technology increasing demand for high reliability and high quality, maintainability design and verification has become an indispensable research field in the process of equipment design. Because of affecting the efficiency and completeness of maintenance operations, visual occlusion has become a key factor in maintainability design. At present, virtual maintenance technology has been able to simulate the process of equipment maintenance in the virtual space, in order to discover equipment design defects in advance. However, the current researches focus on the evaluation of visual occlusion by using maintenance criteria and expert experience. Subjective judgment and non-automation are the two major problems limiting the development of the visibility design. To solve these problems, this paper proposes a visual occlusion obstacle detection model based on finite element analysis in virtual environment. The model achieves visual occlusion obstacle detection through the Secondary development of DELMIA (Digital Enterprise Learn Manufacturing Interactive Application) software, which is widely used for maintainability evaluation. By combining finite element analysis and the mathematical model of visual occlusion obstacle detection algorithm, the model achieve the automatic and parametric evaluation. In addition, a case is conducted and verified the effectiveness of the proposed method.

AB - At present, the innovation and development of industrial technology increasing demand for high reliability and high quality, maintainability design and verification has become an indispensable research field in the process of equipment design. Because of affecting the efficiency and completeness of maintenance operations, visual occlusion has become a key factor in maintainability design. At present, virtual maintenance technology has been able to simulate the process of equipment maintenance in the virtual space, in order to discover equipment design defects in advance. However, the current researches focus on the evaluation of visual occlusion by using maintenance criteria and expert experience. Subjective judgment and non-automation are the two major problems limiting the development of the visibility design. To solve these problems, this paper proposes a visual occlusion obstacle detection model based on finite element analysis in virtual environment. The model achieves visual occlusion obstacle detection through the Secondary development of DELMIA (Digital Enterprise Learn Manufacturing Interactive Application) software, which is widely used for maintainability evaluation. By combining finite element analysis and the mathematical model of visual occlusion obstacle detection algorithm, the model achieve the automatic and parametric evaluation. In addition, a case is conducted and verified the effectiveness of the proposed method.

KW - Delmia secondary development

KW - Finite element analysis

KW - Sight interference detection

KW - Virtual environment

KW - Visual accessibility

KW - Visual occlusion obstacle

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PB - Research Publishing Services

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Y2 - 22 September 2019 through 26 September 2019

ER -

Zhou Q, Zhou D, Mei S, Hao A. Visual occlusion obstacle detection model based on finite element analysis in virtual environment. In Beer M, Zio E, editors, Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Research Publishing Services. 2020. p. 699-706. (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019). doi: 10.3850/978-981-11-2724-3_0343-cd

Visual occlusion obstacle detection model based on finite element analysis in virtual environment

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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Cite this