关于GQFD-TRIZ集成方法在警用无人机设计中的应用研究
|
摘要
针对警用无人机执行任务的能力需求,提出了基于灰关联分析的质量功能展开(GQFD)和发明问题解决理论(TRIZ)相结合的警用无人机创新设计集成方法,即通过GQFD将警用无人机的任务需求转化为具体使用的性能需求以及对应的关键技术及其重要度,从而由关键技术重要度明确改进的设计目标;应用TRIZ理论分析设计目标中的关键问题冲突类型,利用标准工程参数和发明原理消解对应的冲突得到具体设计实施方案。实践表明,该集成方法可以在调研缺少信息、小样本分析情况下减少设计中人为因素干扰,弥补单一创新设计理论的不足,具有可以快速准确找到设计方向并得出可行设计方案的突出优点。通过城市管理环境中警用无人机的创新设计方案实施,论证了GQFD-TRIZ集成方法的可行性。
Aiming at the requirements on the ability of police drones to perform tasks, this paper proposes an innovative design method for police drones based on grey relational analysis of quality function development(GQFD) and theory of inventive problem solving(TRIZ). GQFD transforms the mission requirements of the police drone into the performance requirements of the police drone and the corresponding key technologies and their importance, thereby understanding the design goals by the importance of key technologies. The paper also applies TRIZ theory to analyze key problem conflict types in design goals, and uses standard engineering parameters and the invention principle which settles conflicts to obtain a specific design and implementation plan. In practice, the integrated method can reduce the human-factor interference in the design under the condition of lack of information and a small amount of sample analysis, and make up for the deficiency of a single innovative design theory, displaying the advantages of being able to quickly and accurately find the design direction and obtain a feasible design solution. The feasibility of the GQFD-TRIZ integration method was demonstrated through the implementation of the innovative design of the police drone in the urban management environment.
Aiming at the requirements on the ability of police drones to perform tasks, this paper proposes an innovative design method for police drones based on grey relational analysis of quality function development(GQFD) and theory of inventive problem solving(TRIZ). GQFD transforms the mission requirements of the police drone into the performance requirements of the police drone and the corresponding key technologies and their importance, thereby understanding the design goals by the importance of key technologies. The paper also applies TRIZ theory to analyze key problem conflict types in design goals, and uses standard engineering parameters and the invention principle which settles conflicts to obtain a specific design and implementation plan. In practice, the integrated method can reduce the human-factor interference in the design under the condition of lack of information and a small amount of sample analysis, and make up for the deficiency of a single innovative design theory, displaying the advantages of being able to quickly and accurately find the design direction and obtain a feasible design solution. The feasibility of the GQFD-TRIZ integration method was demonstrated through the implementation of the innovative design of the police drone in the urban management environment.
引文
[1]唐前进,徐峥.警用多轴旋翼无人机的应用及发展方向[J].武汉理工大学学报:信息与管理工程版,2017,39(2):239-242.
[2]刘晓敏,黄水平,陈智钦,等.基于TRIZ与AD的海草夹苗机械手概念创新设计及可靠性研究[J].机械工程学报,2016,52(5):40-46.
[3]张鹏,董娅凡,张换高,等.设计过程复杂性理论与TRIZ理论集成复杂机电系统功能分解过程模型[J].机械工程学报,2016,52(23):17-24.
[4]闫洪波,曹国忠,檀润华,等.TRIZ与六西格玛设计集成创新及问题定义阶段融合应用研究[J].中国机械工程,2018,29(13):1560-1567.
[5]白仲航,许彤,丁满.集成价值工程与TRIZ求解工具的产品创新设计研究[J].机械设计,2018,35(3):114-118.
[6]张彩丽,杨帆,任工昌.产品创新设计方法中TRIZ和QFD的集成模式研究[J].机械设计与研究,2014,30(5):30-33.
[7]谢健民.基于HOQ与TRIZ的产品创新模糊前端设计研究[D].成都:电子科技大学,2013.
[8]穆瑞.基于QFD方法的机电产品方案评价方法研究[D].哈尔滨:哈尔滨工程大学,2009.
[9]李朝玲.质量功能展开的系统建模及应用研究[D].青岛:青岛大学,2009.
[10]ASADABADI M R.A customer based supplier selection process that combines quality function deployment,the analytic network process and a Markov chain[J].European Journal of Operational Research,2017,263(3):1049-1062.
[11]YAN H B,MA T J.A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority[J].European Journal of Operational Research,2015,241(3):815-829.
[12]JI P,JIN J,WANG T,et al.Quantification and integration of Kano’s model into QFD for optimising product design[J].International Journal of Production Research,2014,52(21):6335-6348.
[13]石元伍,韩珊.基于QFD和Kano模型的医疗服务机器人造型设计研究[J].机械设计,2017,34(12):121-125.
[14]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002:2-18.
[15]LIU H T,CHENG H S.An improved grey quality function deployment approach using the grey TRIZtechnique[J].Computers and Industrial Engineering,2016,92:57-71.
[16]刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[17]刘思峰.灰色系统理论及其应用[M].北京:科学出版社,2008:41-60.
[18]平恩顺,檀润华,孙建.基于TRIZ的机械产品突破性创新设想产生过程研究[J].中国机械工程,2014,25(18):2439-2446.
[19]邓海静,邓丁奇.基于TRIZ需求进化定律的微耕机创新设计[J].图学学报,2017,38(6):881-886.
[20]WANG Y H,LEE C H,TRAPPEY A J C.Service design blueprint approach incorporating TRIZ and service QFD for a meal ordering system:A case study[J].Computers and Industrial Engineering,2017,107:388-400.
[21]MELEMEZ K,GIRONIMO G D,ESPOSITO G,et al.Concept design in virtual reality of a forestry trailer using a QFD-TRIZ based approach[J].Turkish Journal of Agriculture&Forestry,2014,37(6):789-801.
[22]加德.TRIZ众创思维与技法[M].北京:国防工业出版社,2015:113-121.
[23]檀润华.TRIZ及应用技术创新过程与方法[M].北京:高等教育出版社,2010:224-243.
[24]李军,张勇,刘玉川.应急救援车概念创新设计中的QFD_TRIZ_AD集成方法[J].中国工程机械学报,2018,16(1):35-41.
[25]贺晶晶,姜平,冯晓荣.基于UWB的无人运输车的导航定位算法研究[J].电子测量与仪器学报,2016,30(11):1743-1749.
[2]刘晓敏,黄水平,陈智钦,等.基于TRIZ与AD的海草夹苗机械手概念创新设计及可靠性研究[J].机械工程学报,2016,52(5):40-46.
[3]张鹏,董娅凡,张换高,等.设计过程复杂性理论与TRIZ理论集成复杂机电系统功能分解过程模型[J].机械工程学报,2016,52(23):17-24.
[4]闫洪波,曹国忠,檀润华,等.TRIZ与六西格玛设计集成创新及问题定义阶段融合应用研究[J].中国机械工程,2018,29(13):1560-1567.
[5]白仲航,许彤,丁满.集成价值工程与TRIZ求解工具的产品创新设计研究[J].机械设计,2018,35(3):114-118.
[6]张彩丽,杨帆,任工昌.产品创新设计方法中TRIZ和QFD的集成模式研究[J].机械设计与研究,2014,30(5):30-33.
[7]谢健民.基于HOQ与TRIZ的产品创新模糊前端设计研究[D].成都:电子科技大学,2013.
[8]穆瑞.基于QFD方法的机电产品方案评价方法研究[D].哈尔滨:哈尔滨工程大学,2009.
[9]李朝玲.质量功能展开的系统建模及应用研究[D].青岛:青岛大学,2009.
[10]ASADABADI M R.A customer based supplier selection process that combines quality function deployment,the analytic network process and a Markov chain[J].European Journal of Operational Research,2017,263(3):1049-1062.
[11]YAN H B,MA T J.A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority[J].European Journal of Operational Research,2015,241(3):815-829.
[12]JI P,JIN J,WANG T,et al.Quantification and integration of Kano’s model into QFD for optimising product design[J].International Journal of Production Research,2014,52(21):6335-6348.
[13]石元伍,韩珊.基于QFD和Kano模型的医疗服务机器人造型设计研究[J].机械设计,2017,34(12):121-125.
[14]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002:2-18.
[15]LIU H T,CHENG H S.An improved grey quality function deployment approach using the grey TRIZtechnique[J].Computers and Industrial Engineering,2016,92:57-71.
[16]刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[17]刘思峰.灰色系统理论及其应用[M].北京:科学出版社,2008:41-60.
[18]平恩顺,檀润华,孙建.基于TRIZ的机械产品突破性创新设想产生过程研究[J].中国机械工程,2014,25(18):2439-2446.
[19]邓海静,邓丁奇.基于TRIZ需求进化定律的微耕机创新设计[J].图学学报,2017,38(6):881-886.
[20]WANG Y H,LEE C H,TRAPPEY A J C.Service design blueprint approach incorporating TRIZ and service QFD for a meal ordering system:A case study[J].Computers and Industrial Engineering,2017,107:388-400.
[21]MELEMEZ K,GIRONIMO G D,ESPOSITO G,et al.Concept design in virtual reality of a forestry trailer using a QFD-TRIZ based approach[J].Turkish Journal of Agriculture&Forestry,2014,37(6):789-801.
[22]加德.TRIZ众创思维与技法[M].北京:国防工业出版社,2015:113-121.
[23]檀润华.TRIZ及应用技术创新过程与方法[M].北京:高等教育出版社,2010:224-243.
[24]李军,张勇,刘玉川.应急救援车概念创新设计中的QFD_TRIZ_AD集成方法[J].中国工程机械学报,2018,16(1):35-41.
[25]贺晶晶,姜平,冯晓荣.基于UWB的无人运输车的导航定位算法研究[J].电子测量与仪器学报,2016,30(11):1743-1749.