| Summary: | 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 98 === To meet the requirement of flexibility and integration in modern manufacturing system, the concept of Smart Factory was proposed to emphasize the accessibility of real-time production information. This research proposes a new framework, containing human issues into the Smart Factory. By knowing the state of operators, the safety, comfort, and productivity will be increased, and the completeness of Smart Factory will be enhanced.
This study implements a prototype under the framework of Smart Factory named SENSE—Sensible Ergonomics Network in Smart Environment. Under this framework, the real-time motion capture and physiological sensing modules are built, and the ergonomics visualization tools are developed. The wireless inertial and physiological sensors are used to collect the motion and ECG data, which will be sent back to a computer for real-time data processing. By using ergonomics evaluation methods, such as RULA, OWAS, biomechanics, and the classification of physical work, this information is used to analyze the posture and physical workload of an operator, and can be visualized in real-time. In addition, this study also develops the mobile supervisory module for managers on shop floor in order to transfer the ergonomics information from a server to a mobile device through wireless networks, so that managers are able to get the real-time information of operators, such as posture and workload.
This study uses the example of the vehicle door assembly tasks to evaluate the system. By asking the subjects wear the real-time ergonomics evaluation system to the assembly tasks. The system displays the human motion and ergonomics index in real-time. Managers can enhance the safety and health of workplace by improving the hazardous posture.
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