隨著全球電動車、風力發電與綠能技術的發展以及工業自動化對高效能驅動系統需求的增加，智慧馬達的精度、效率與功能性要求不斷提升，現代產業需求為確保智慧馬達之性能，傳統磁通密度的密集量測方法難以滿足量測精度與效率的需求。本研究提出一種基於三維磁通密度量測平台的自主測量解決方案，透過適應性網格細化技術結合磁樣本的模型與模擬數據，自動生成磁通密度測量點，降低測量點數與時間。同時，結合影像歸位與座標轉換技術，對3D列印磁樣本進行精確定位，實現自主化測量。同時引入徑向基函數插值方法，進行未量測區域磁通密度的數據插值，實現低失真三維磁通密度重建。本研究有效提升磁通密度量測效率與準確性，並為智慧馬達測量技術的進一步發展提供了新方向。

The rapid advancements in electric vehicles, wind power, green energy technologies, and the growing demand for high-performance drive systems in industrial automation have increased the requirements for precision, efficiency, and reliability in motor technology. Conventional dense magnetic flux density measurement methods often fail to achieve a balance between precision and efficiency, limiting their applicability in modern industries. This study introduces an autonomous three-dimensional magnetic flux density measurement platform to address these limitations. By employing adaptive mesh refinement techniques integrated with CAD models and simulation data of magnetic test objects, the platform automatically generates measurement points, reducing the required number of measurement points and measurement time. It also leverages visual localization and homogeneous coordinate transformation techniques to enable precise positioning and autonomous measurement of 3D-printed magnetic samples. Additionally, the use of radial basis function interpolation estimates magnetic flux density in unmeasured regions, achieving low-distortion 3D magnetic flux density reconstruction. This innovative approach enhances measurement efficiency and accuracy, paving the way for further advancements in smart motor measurement technologies.

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