Suburban Sightseeing Farm Design from the Perspective of Behaviordriven Design

Suburban sightseeing farm has always been restrained by such problems as focusing on form and visual effect, low design level, poor depth, similarity with others, poor sustainability and so on. This paper proposed major characteristics of sightseeing farm design based on core connotations of behavior-driven design from the perspective of cognitive psychology. Cases were taken to analyze the design techniques of sightseeing farm, and it was concluded that sightseeing farm design based on behavior-driven perspective should orient to performancebased, refi ned, individualized and participatory from the four perspectives of highlighting functions, deepening the details, stressing originality, and optimizing experience, in order to provide new thoughts for solving existing problems of current sightseeing farm design.

Product Data Model for Performance-driven Design

When designing large-sized complex machinery products, the design focus is always on the overall per- formance; however, there exist no design theory and method based on performance driven. In view of the defi- ciency of the existing design theory, according to the performance features of complex mechanical products, the performance indices are introduced into the traditional design theory of ＂Requirement-Function-Structure＂ to construct a new five-domain design theory of ＂Client Requirement-Function-Performance-Structure-Design Parameter＂. To support design practice based on this new theory, a product data model is established by using per- formance indices and the mapping relationship between them and the other four domains. When the product data model is applied to high-speed train design and combining the existing research result and relevant standards, the corresponding data model and its structure involving five domains of high-speed trains are established, which can provide technical support for studying the relationships between typical performance indices and design parame- ters and the fast achievement of a high-speed train scheme design. The five domains provide a reference for the design specification and evaluation criteria of high speed train and a new idea for the train＇s parameter design.

Structural optimization design of a bolster based on a simulation-driven design

A simulation-driven design method which uses multiple optimization methods can effectively promote innovative structural design tion analysis can enormously improve the efficiency of modelling and solving.This study establishes a general workflow of structural and reduce the product development cycle.Meanwhile,the sub-model technology which has more detailed simulation and optimizaoptimization for a stainless-steel metro bolster by combining the simulation-driven design method and sub-model technology.In the sub-model definition phase,the end underframe sub-model which contains the bolster is obtained based on the whole car body finite element(FE)model,and the effectiveness of the end underframe sub-model is also proved.In the conceptual design phase,the is determined according to manufacturing processes and design experiences.In the detailed design phase,the thickness of each topology path inside the bolster is obtained by the topology method and the optimized structure of the inner ribs inside the bolster part of the bolster is determined by size optimization.The simulation analyses indicate that the requirements of static strength and can be decreased by 17.79% compared with the original bolster structure,which means that not only the lightweight design goal fatigue strength are fulfilled by the optimized bolster structure.Besides,the weight can be reduced by 11.18% and the weld length is achicved.but also the welding auantity and manufacturing difficulty are geatly reduced.The results show the effectiveness of the simulation-driven design method based on the sub-model technology in the structural optimization for key parts of rail transit vehicles.

Semantic-driven method for designing 3D busbars

Traditional busbar design is inefficient, costly, and error-prone because of frequent changes of requirements. This paper proposes a semantic-driven method for designing 3D busbars to solve this problem. The design process contains two main parts, namely, semantic-driven routing design and automatic routing segmentation. Semantic-driven routing design creates a relation table between electrical semantics and 3D modeling parameters, as well as helps designers create routings efficiently using electrical parameters as input. Automatic routing segmentation can convert routings into busbar segments that also include manufacturing information. Because the design operations are associated with one another, the resulting busbars can automatically be changed in real time when requirements are changed.

Research on design system of band conveyer driven by linear friction

The band conveyer driven by linear friction is a new device. It can reduce drivesize and conveyor belt tensity, and increase delivery capacity. It has feasibility and usability particularly in altering the original conveyer and solving the problems of capacity insufficiency. The technology has brought certain difficulty for engineers, because it has certaindifficulty both in theory and in calculation. Therefore, Visual Basic 6.0 programming technology was used to develop a set of 'the design system of the band conveyer driven bylinear friction.' After being proved in the field, it can completely meet the demands of thedesign. This paper introduced its main theory or basis in design, so as to provide relatedtechnical support to this kind of project.

Data Driven Uncertainty Evaluation for Complex Engineered System Design

Complex engineered systems are often difficult to analyze and design due to the tangled interdependencies among their subsystems and components. Conventional design methods often need exact modeling or accurate structure decomposition, which limits their practical application. The rapid expansion of data makes utilizing data to guide and improve system design indispensable in practical engineering. In this paper, a data driven uncertainty evaluation approach is proposed to support the design of complex engineered systems. The core of the approach is a data-mining based uncertainty evaluation method that predicts the uncertainty level of a specific system design by means of analyzing association relations along different system attributes and synthesizing the information entropy of the covered attribute areas, and a quantitative measure of system uncertainty can be obtained accordingly. Monte Carlo simulation is introduced to get the uncertainty extrema, and the possible data distributions under different situations is discussed in detail The uncertainty values can be normalized using the simulation results and the values can be used to evaluate different system designs. A prototype system is established, and two case studies have been carded out. The case of an inverted pendulum system validates the effectiveness of the proposed method, and the case of an oil sump design shows the practicability when two or more design plans need to be compared. This research can be used to evaluate the uncertainty of complex engineered systems completely relying on data, and is ideally suited for plan selection and performance analysis in system design.

Semantic Driven Design Reuse for 3D Scene Modeling

The increasing scale and complexity of 3D scene design work urge an efficient way to understand the design in multi-disciplinary team and exploit the experiences and underlying knowledge in previous works for reuse.However the previous researches lack of concerning on relationship maintaining and design reuse in knowledge level.We propose a novel semantic driven design reuse system,including a property computation algorithm that enables our system to compute the properties while modeling process to maintain the semantic consistency,and a vertex statics based algorithm that enables the system to recognize scene design pattern as universal semantic model for the same type of scenes.With the universal semantic model,the system conducts the modeling process of future design works by suggestions and constraints on operation.The proposed framework empowers the reuse of 3D scene design on both model level and knowledge level.

技术与商业驱动的群智创新设计

目的结合人工智能时代下社会面临的新问题及现代设计的新使命,提出了技术与商业驱动的群智创新设计思维。方法以设计全球化、新一代人工智能及数字化生存现状为时代背景,阐述了群智创新设计在新时代下的创新本质,并从技术和商业的多元视角阐述了群智创新设计的多元内涵。结果构建了以设计为牵引,技术与商业驱动的群智创新设计模型,并结合具体案例阐述了群智创新设计的优势。结论群智创新设计注重智能技术和群体智慧的结合,是一场复杂系统层面的螺旋式创新演化。以设计为牵引、技术为支撑、商业为激励的群智创新设计方法借用现代网络平台优势及大数据、人工智能、区块链等信息技术赋能,利用群体智慧的协同作用,聚集社会中更多、更好的知识源,以助力创新创造,为社会创造共赢价值。

新医科背景下医学生的Python课程教学设计与实践

在新医科背景下,分析医学生开设Python编程课程的重要意义。针对在医学生Python教学中存在的挑战,从课程组织、教材选择、课程设计和教学模式等方面,将医学数据管理与Python编程教学深度融合,设计并实践了新的Python课程教学方法。经过4年多的教学研究实践,将Python的代码实现与医学知识相融合,启发学生通过实际医学项目应用他们所学的知识,培养学生的问题解决和数据分析能力。通过设计调查问卷和形成性评价的形式对课程实施效果进行评价,课程在增强学生学习Python编程兴趣和提高Python应用能力方面收到了很好的效果。课程组以高质量教育培育高水平、高素质、高融合医科人才为目标,通过医学信息数据处理案例为中心组织课堂,紧跟人工智能、深度学习等新技术,培养新医科人才,服务于“健康中国”大目标。

高职“机械设计基础”课程混合式教学改革创新路径研究

基于“机械设计基础”这门课程的特点和高职学习者学情,探索“学做研创”专业基础课程改革路径,通过设计不同的产品结构设计主题,以机械产品设计为主线,有机融入“机械原理设计→机械结构设计→机械产品评价”教学方式,创新实施基于成果导向的“1+1+N”线上线下混合式教学模式,以宿舍为单位组建学习型组织,团队协作完成不同难易程度的机械作品以检验学习成果,实现“教与学、学与做、做与创”深度融合,让“学习者成为课堂主体”“教师成为课堂主导教练员”,打造高效优质金课堂。

复杂系统测试性设计与故障诊断策略研究进展

测试性设计是提高系统可靠性、安全性、维修性、保障性的重要前沿技术,决定了系统故障检测率和隔离率,直接影响系统的维护(测试)成本。系统测试性设计包含结构化设计、模型化设计、数据驱动设计等多种设计策略。其中,数据驱动设计于近年逐渐兴起并成为重要发展方向之一,该类方法通过对系统测试与故障之间的关系进行建模,依据测试结果进行故障推理,形成故障诊断方案。首先,简要回顾了系统测试性设计的发展历程;其次,重点介绍了测试性设计的研究进展,分析总结了结构化、模型化、数据驱动3类测试方案;然后,介绍了测试性诊断策略构建,根据测试方案中的建模方法确定诊断策略的构建技术,并总结归纳了每类技术的研究特点和适用性;最后,探讨了当前复杂系统测试性设计面临的挑战性问题和可能的未来研究方向。

基于虚拟仿真实验教学平台的网络安全实践教学体系研究与构建

基于CC2020胜任力模型,从实现网络安全核心知识的学习、攻防技能的提高、品行的培养出发,对网络安全实验教学体系进行了构建及研究。虚拟仿真实验教学平台和雨课堂平台,为实践开展提供了信息化教学的基础,同时提升了实践教学的可行性和创新性。结合学生现状,从教学内容设计、实验资源建设、教学方法策略、考核评价机制,多角度、多方位地提出了详细建设举措。实践课程的实施对培养网络安全创新型、实战型人才培养具有实际意义和参考价值。

数据驱动的鞋楦设计现状及发展综述

鞋楦是制鞋成型过程中的模具,是链接足与鞋的重要纽带,传统的鞋楦设计囿于楦师手工和经验,难以实现高效准确的大规模个性化定制。鉴于此,本文结合数字智能化技术的发展,对比国内外鞋楦设计的研究现状,明确当今鞋楦设计的趋势和我国在该领域面临的挑战;提出了数据驱动的鞋楦设计内涵、优势及新特点;介绍了数据驱动的足-楦一体式设计流程,为鞋楦领域研究人员提供参考与借鉴。

渐进式项目驱动法在网页设计课程教学中的应用

渐进式项目驱动法是在项目驱动法的基础上发展而来的,强调项目的选取和拆分,通过由小到大、由简单到复杂的项目整合多个知识点,让学生循序渐进地掌握所有知识。文中将项目渐进驱动法融入到《网页设计与制作》课程中,介绍了课程教学的现状、教学设计、教学实施以及教学效果,以期帮助学生快速掌握网页前端设计的技术,促进他们知识体系的构建。

基于Robotstudio的工业机器人课程教学设计与实践

阐述工业机器人实训课程教学实践,将Robotstudio软件融入课程教学中,探讨以实例项目驱动的教学内容设计,以虚实结合手段提升课堂教学效果的教学模式,从而实现教学与实践的统一。

旋翼无人机仿生栖息机械臂设计

为满足旋翼无人机执行林区内定点监测、侦查等任务,通过对鸟类栖息过程研究及腿足仿生研究,设计一种仿生栖息机械臂。对整机进行模块化设计及运动学分析,腿部模块使用机械系统动力学自动分析(Automatic Dynamic Analysis of Mechanical Systems,ADAMS)进行运动学轨迹仿真,爪部模块使用D-H(Denavit-Hartenberg)参数法取得趾尖运动学方程,通过MATLAB仿真得到爪部模块趾尖的工作空间点云分布。制作样机搭建试验系统,分别对趾部活动范围以及整机栖息能力进行试验验证。该设计结构简单,易操控,可完成试验室阶段的栖息行为。

仿生太阳能驱动界面蒸发器的进展与挑战

太阳能驱动界面蒸发(SDIE)作为一种高效、可持续的水资源获取方法,近年来受到了广泛的关注。基于仿生原理设计的太阳能驱动界面蒸发器在提高能源转换效率、降低盐结晶和抗污染等方面展现了巨大的潜力,在解决淡水资源紧缺和能源短缺等问题上发挥重要作用。该文梳理了近年来的仿生学在SDIE领域的应用,对比了仿生太阳能驱动界面蒸发器的结构、性能和仿生机理,探讨了不同类型仿生太阳能驱动界面蒸发器的优缺点,分析了仿生太阳能驱动界面蒸发器所面临的共性问题,并提出了未来的研究挑战。

剪力墙结构智能化生成式设计方法:从数据驱动到物理增强

建筑结构的智能化方案设计是智能建造的重要内容。既有研究提出了基于深度神经网络的剪力墙结构生成式设计方法框架、智能设计算法、设计性能评价方法等,完成了从数据驱动到物理增强的智能化设计方法的发展,但目前尚未有研究针对不同设计条件下数据驱动和物理增强方法的设计能力进行详细对比,且基于计算机视觉与基于力学性能的评价方法尚未有明确的关系,难以有效保证计算机视觉评价方法的合理性。基于深度生成式算法对比和算例分析,开展数据驱动和物理增强数据驱动方法的详细对比,并进一步验证基于计算机视觉评价与基于力学分析评价方法的正相关性。结果表明:数据驱动的方法易受到数据质量与数量的约束,而物理增强数据驱动的方法设计性能更加稳定,基本摆脱数据质量和数量的约束;基于计算机视觉综合评价指标SCV的合理性阈值为0.5,对应力学性能差异约为10%。

设计介入非遗助残行动者网络的策略研究

保障残疾人就业是共同富裕的重要体现。目前手工艺类非遗项目与残疾人结合的方式得到了广泛的关注,但项目可持续性、多方人员的参与程度等方面还存在欠缺。在前期调研的基础上,通过多个非遗助残案例的综合分析,以行动者网络理论为框架,对利益赋予、征召和动员3个环节作了重点研究,指出其不足之处表现为教学模式落后、产品形式单一、体验空间缺失等。从设计的角度出发,依据行动者网络的运行流程提出了非遗助残行动者网络构建的策略。