LAPSE:2023.1728
Published Article

LAPSE:2023.1728
Investigation on Safety Dynamic Evolution Mechanism of a Distributed Low Carbon Manufacturing System with Large Time Delay
February 21, 2023
Abstract
In order to reveal the inducing factors and safety dynamic evolution mechanism of frequent personal injury accidents under a low carbon manufacturing process, a nonlinear safety dynamic evolution model of a distributed low carbon manufacturing system with large time delay is established. The established model is then verified by simulation results from mathematical analysis and dynamic evolution. Moreover, qualitative analysis on nonlinear safety dynamic evolution and the trend of human−machine safety under a low carbon manufacturing process is investigated. Finally, an application case of the established model is studied. The key results are as follows: (1) There are four dynamic regions, namely the safety area I, the deterioration area II, the asymptotically stable safety area III, and the enhancement area IV of the safety ability in the interaction evolution model of carelessness and safety levels; (2) There are two singularities in the dynamic evolution model of the man−machine safety system with large time delay under a low carbon manufacturing process; (3) The equilibrium points of the human−machine safety system are El = (0, 0) and E2 = (0.5333, 0.2489), while changes in the carelessness level have a serious block effect on safety development with time; (4) For the radial tire casing process, the low carbon development trend of the technological process of radial tire casing is good, but low carbon structure and management have slightly lower low carbon levels. This work provides a theoretical basis for the safety evaluation and control of the distributed low carbon manufacturing human−machine safety system with large time delay.
In order to reveal the inducing factors and safety dynamic evolution mechanism of frequent personal injury accidents under a low carbon manufacturing process, a nonlinear safety dynamic evolution model of a distributed low carbon manufacturing system with large time delay is established. The established model is then verified by simulation results from mathematical analysis and dynamic evolution. Moreover, qualitative analysis on nonlinear safety dynamic evolution and the trend of human−machine safety under a low carbon manufacturing process is investigated. Finally, an application case of the established model is studied. The key results are as follows: (1) There are four dynamic regions, namely the safety area I, the deterioration area II, the asymptotically stable safety area III, and the enhancement area IV of the safety ability in the interaction evolution model of carelessness and safety levels; (2) There are two singularities in the dynamic evolution model of the man−machine safety system with large time delay under a low carbon manufacturing process; (3) The equilibrium points of the human−machine safety system are El = (0, 0) and E2 = (0.5333, 0.2489), while changes in the carelessness level have a serious block effect on safety development with time; (4) For the radial tire casing process, the low carbon development trend of the technological process of radial tire casing is good, but low carbon structure and management have slightly lower low carbon levels. This work provides a theoretical basis for the safety evaluation and control of the distributed low carbon manufacturing human−machine safety system with large time delay.
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Keywords
distributed low carbon manufacturing system, dynamic evolution mechanism, low carbon manufacturing process, safety
Subject
Suggested Citation
Liu B, Chen Y, Zuo H, Jia G, Zhong D. Investigation on Safety Dynamic Evolution Mechanism of a Distributed Low Carbon Manufacturing System with Large Time Delay. (2023). LAPSE:2023.1728
Author Affiliations
Liu B: School of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Chen Y: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Zuo H: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Jia G: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China [ORCID]
Zhong D: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Chen Y: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Zuo H: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Jia G: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China [ORCID]
Zhong D: School of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
Journal Name
Processes
Volume
10
Issue
9
First Page
1707
Year
2022
Publication Date
2022-08-27
ISSN
2227-9717
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Original Submission
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PII: pr10091707, Publication Type: Journal Article
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LAPSE:2023.1728
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https://doi.org/10.3390/pr10091707
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Feb 21, 2023
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