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題名:智慧製造環境下應用人工智慧、交互式三維輔助設計與機器人關鍵技術專利之趨勢與佈局分析
作者:許心俞
作者(外文):HSU,HSIN-YU
校院名稱:國立彰化師範大學
系所名稱:財務金融技術學系
指導教授:王信文
張元
學位類別:博士
出版日期:2023
主題關鍵詞:人工智慧三維建模機器人AHP分析法Delphi法Artificial Intelligence3D modelingRobotAHP Hierarchical AnalysisDelphi Method
原始連結:連回原系統網址new window
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隨著智慧財產權意識抬頭,專利的保護成為各家企業關注的重點,專利權也成為企業最重要的無形資產之一。因此,專利的佈局顯得格外重要。然而,以往的專利佈局分析主要基於專利地圖、專利歷年趨勢、公司主要研發能力以及專利IPC分類群等。儘管IPC國際通用,但其缺點是無法清楚指出特定產業的專利技術,而是以較為廣泛的技術範圍進行分類。因此,本研究主要以台灣智慧財產局作為資料來源,運用專利檢索軟體,檢索出三維建模、人工智慧和機器人等特定產業中專利量較多的技術,並利用AHP層級分析法和Delphi法等學術方法,更精準地分析各產業的專利技術佈局。研究發現,在三維建模領域,「自動化技術」是主要的專利佈局重點;人工智慧領域以「影像辨識」最為集中;機器人產業則以「夾持機器人」專利最多。本研究提出的具體技術指標,比起IPC分類更能精準反映各產業的專利發展方向。
The patent protection has become the focus of attention for all enterprises with the rise of intellectual property rights awareness, and the patent right has intangible assets of enterprises. The International Patent Classification (IPC) is an international technology classification system, which categorizes patent technologies through international classification codes. Therefore, this study utilized patent search software to identify the technologies with the most patent applications in specific industries such as 3D modeling, artificial intelligence, and robotics. It then used academic research methods like AHP hierarchical analysis and the Delphi method to precisely analyze the patent technology layout in each industry. This Ph.D. dissertation found that in 3D modeling, the main patent layout was focused on "automation technology"; in artificial intelligence, it was concentrated on "image recognition"; and in robotics, it emphasized "gripping robots". The proposed technical indicators are more specific than IPC classification in reflecting the patent development direction of each industry.
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