臺灣博碩士論文加值系統

人工物料搬運 (Manual Material Handling, 簡稱 MMH) 工作已被証實是
造成慢性下背部酸痛(Chronic Low Back Pain)的主要因素之一。本研究
的目的就是希望能根據國人人體計測資料, 建立一套方便使用的自動化人
工物料搬運工作評估系統。系統的發展主耍是利用快速影像擷取系統自放
影機中截取所需要的搬運動作, 並結合電腦計算儲存功能, 參考國人人體
計測資料, 以達成能自動地評估物料搬運工作中, 下背部受力的情形, 及
受傷害的可能性之測量。並找出在整個物料搬運工作週期中, 最具危害性
的元素, 以影像陳示其姿勢, 並進而提出正確物料搬運或抬舉重物方式之
建議。本系統具備兩套介面設計, 一套是採適合初學者使用之對話方式,
另一套是適合熟練者使用之選單方式。系統的設計是以C語言撰寫,在撰寫
的過程中建立了很多程式庫, 這些的程式庫將有助於日後的研究與擴充。

It has been proven that manual material handling (MMH) task is
risk factors that cause chronic low back pain. The purpose ofo
develop an automated computater system for evaluating theck
injries in manual material handling tasks. The key idea of this
system is to use computer vision technique to automatically
assess the posture in the process of performing manual material
handling tasks. The system can calculate the strains exerted in
low back ands based on the anthropometric data and the
biomechanical models. Then, the system can indicate the worst
element during the manual material handling job cycle, and the
disc compressive force compare with damge load and compressive
strength to predict the possiblee. Finally, some
recommendations of correct material handling or lifting posture
are given. The system has two computer interfaces design. One
is for the beginner in the dialogue form and the other is for
expert in the menu form. The system is Language and image
processing libraries, biomechanical models, and anthropometric
data base are built in the system. very useful for future
development.