Man-machine cooperation fatigue detection system based on digital twin platform
A technology of human-machine collaboration and fatigue detection, applied in the testing of machines/structural components, measuring devices, measuring pulse rate/heart rate, etc., can solve the problem of increasing the risk of muscle load injury and the possibility of safety accidents, affecting the health of operators and safety operations to achieve the effect of reducing physical load and mental load and achieving production efficiency
Inactive Publication Date: 2021-02-19
TONGJI UNIV
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Studies have shown that with the increase of muscle load, the discomfort becomes more obvious, which increases the risk of muscle load injury and the possibility of safety accidents, which in turn affects the operator's physical health and safe operation
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[0043] The specific embodiment of the specific solution of the present invention will be further elaborated in conjunction with the accompanying drawings.
[0044] To accomplish assembly tasks, humans and robots share some unique and common skill traits. The present invention can identify these skills for the task assignment problem, thereby forming a decision mechanism to assign tasks to robots and humans to achieve better performance. The present invention simulates and estimates robot and human task completion time as well as activity and idle time through a digital twin platform. The order of assembly can be modified to minimize idle time and make better use of each resource. At the same time, tasks should be assigned in such a way that workers have sufficient recovery time to avoid work fatigue.
[0045] As shown in the figure, the human-machine collaborative digital twin production system consists of a physical entity space, a digital twin space and related communicati...
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The present invention discloses a man-machine cooperation personnel fatigue detection system based on a digital twin platform. The system maps data of a physical entity space to a digital twin space in real time. On the basis of a physical engine and a digital model of the digital twin space, an evaluation of workloads and human body fatigue degrees is carried out on a movement posture, a muscle load intensity and a joint moment of an operator in a man-machine cooperation, and a task dynamic allocation is carried out by integrating the workload analysis, and the fatigue degree evaluation and ahealth state monitoring. Therefore, fine automation and the intelligent man-machine cooperation are realized.
Description
technical field [0001] The invention relates to the field of human-machine collaborative production, in particular to a human-machine collaborative fatigue detection system based on a digital twin platform. Background technique [0002] With advances in collaborative automation, the industry aims to replace fully manual processes with human-robot teams, thereby increasing production at lower cost while maintaining product variety. Human-robot collaborative systems aim to achieve lean automation by distributing tasks between humans and robots according to the required complexity, repetitiveness, and intelligence. [0003] The degree of operator fatigue is related to various human working conditions, including working posture, human body burden during loading and task frequency, etc. The synergistic effect of multiple muscles in the human body enables people to complete actions with less effort. Studies have shown that with the increase of muscle load, the discomfort becomes...
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IPC IPC(8): A61B5/024A61B5/397A61B5/11A61B5/16G01M99/00
CPCA61B5/024A61B5/1116A61B5/16A61B5/72A61B2503/20G01M99/008
Inventor 何斌徐彩月李刚朱忠攀王志鹏沈润杰
Owner TONGJI UNIV