FFM功能求解及在传感器控制系统中的应用

发布时间：2018-04-16 01:19

本文选题：概念设计 + 模糊表示　；参考：《电子测量与仪器学报》2016年06期

【摘要】：传统产品概念设计的功能树中功能节点取值非0即1,且不同方案完成相同功能时无法自动判优,针对这些问题提出了新的功能求解思路。首先,引入模糊表示理论,定量地刻画出功能节点模糊值,构造了模糊功能树。其次,提出了模糊功能矩阵,构建了展开定理和优选定理,通过交替展开与优选,建立了FFM功能求解算法。最后,将该算法应用于传感器概念设计中,通过与组合求解算法、扩展功能矩阵的约简算法进行对比,验证了所提算法的有效性和优越性。通过研究发现:所提算法能够更加细致地刻画功能的粒度,可以对实现相同功能的类似方案进行自动判优,在保证了创新能力不损失的前提下,提高了功能求解的效率和质量,从而推动了概念设计领域的发展。
[Abstract]:In the function tree of traditional product concept design, the value of function node is either 0 or 1, and the same function can not be automatically determined when different schemes are completed. A new functional solution method is put forward to solve these problems.Firstly, fuzzy function tree is constructed by introducing fuzzy representation theory, quantificationally characterizing fuzzy value of functional node.Secondly, the fuzzy function matrix is put forward, the expansion theorem and the optimal selection theorem are constructed, and the FFM function solution algorithm is established by alternating expansion and optimal selection.Finally, the algorithm is applied to sensor conceptual design, and compared with combinatorial algorithm and extended function matrix reduction algorithm, the effectiveness and superiority of the proposed algorithm are verified.It is found that the proposed algorithm can describe the granularity of the function in more detail, and can automatically judge the similar schemes with the same function. It can improve the efficiency and quality of the function solution without losing the innovation ability.Thus, it promotes the development of conceptual design field.
【作者单位】：合肥工业大学计算机与信息学院;安徽农业大学信息与计算机学院;
【基金】：国家自然科学基金(61203077,61370167) 中国博士后科学基金(2014T70585,2012M521218) 安徽省自然科学基金(1408085MKL15,1508085QF129)项目资助
【分类号】：TB472;TP212

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