科创中国

The current research of configurable product disassemblability focuses on disassemblability evaluation and disassembly sequence planning.Little work has been done on quantitative analysis of configurable product disassemblability.The disassemblability modeling technology for configurable product based on disassembly constraint relation weighted design structure matrix(DSM)is proposed.Major factors affecting the disassemblability of configurable product are analyzed,and the disassembling degrees between components in configurable product are obtained by calculating disassembly entropies such as joint type,joint quantity,disassembly path,disassembly accessibility and material compatibility.The disassembly constraint relation weighted DSM of configurable product is constructed and configuration modules are formed by matrix decomposition and tearing operations.The disassembly constraint relation in configuration modules is strong coupling,and the disassembly constraint relation between modules is weak coupling,and the disassemblability configuration model is constructed based on configuration module.Finally,taking a hydraulic forging press as an example,the decomposed weak coupling components are used as configuration modules alone,components with a strong coupling are aggregated into configuration modules,and the disassembly sequence of components inside configuration modules is optimized by tearing operation.A disassemblability configuration model of the hydraulic forging press is constructed.By researching the disassemblability modeling technology of product configuration design based on disassembly constraint relation weighted DSM,the disassembly property in maintenance,recycling and reuse of configurable product are optimized.

近年来无人机遥感发展迅速,其高机动性、高分辨率和低成本等特点,已经被证明为低空遥感探测的重要手段.通过配准序列图像,最优化迭代得到内外方位元素,基于核线约束,利用改进的密集匹配方法,直接生成整个区域的数字地表模型.在密集匹配中,添加所有图像的FAST(Features from Accelerated Segment Test)角点,扩展投影点集,用于构建初始点云的格网平面.基于影像相关和核线约束,在相关的子区域内搜索最优投影点,然后通过最小二乘迭代各投影点,定位最优地面点.通过高斯函数的加权平均方法,引入各投影点的辐射比例因子,生成归一化的图像像素值,获得彩色点云.实验表明,该方法生成的真实彩色三维模型,有效地表现出建筑、道路和树木等基础地物类型.