自动扶梯智能安防系统的设计

为了预防自动扶梯发生安全事故,设计了一种基于人工智能的自动扶梯智能安防系统。这一系统利用视频数据采集平台采集乘客数据,应用机器视觉及人工智能技术对乘客的姿态与行为进行主动识别,针对乘客的危险行为给出异常报警,在出现危险状态时触发声光报警器,控制自动扶梯减速或停止运行。这一系统通过有线或无线网络将数据传输至云平台,监管部门可基于手机客户端进行实时监控。特种设备监督管理部门、检验机构、维护保养单位、产权单位等可通过这一系统掌握自动扶梯运行状况。应用所设计的自动扶梯智能安防系统,可以显著提高自动扶梯安全事故预防水平和应急处理能力。     

现代生活陶艺人性化设计研究

生活陶艺涉及了陶艺、日用陶瓷设计、工业设计等,本文将从设计的角度来探索生活陶艺最具特色的两个部分--审美与形式。人性化设计包含个性设计、人文设计、绿色设计。本文将引用人性化设计中的个性化设计与人文设计中的来论述生活陶艺的功能与情感设计的运用。     

Safety performance functions incorporating design consistency variables

Highway design which ensures that successive elements are coordinated in such a way as to produce harmonious and homogeneous driver performances along the road is considered consistent and safe. On the other hand, an alignment which requires drivers to handle high speed gradients and does not meet drivers' expectancy is considered inconsistent and produces higher crash frequency.     

Model-Based Design Space Exploration for FPGA-based Image Processing Applications Employing Parameterizable Approximations

The increasing demand for low power consumption and high computational performance is outpacing available technological improvements in embedded systems. Approximate computing is a novel design paradigm trying to bridge this gap by leveraging the inherent error resilience of certain applications and trading in quality to achieve reductions in resource usage. Numerous approximation methods have emerged in this research field. While these methods are commonly demonstrated in isolation, their combination can increase the achieved benefits in complex systems. However, the propagation of errors throughout the system necessitates a global optimization of parameters, leading to an exponentially growing design space. Additionally, the parameterization of approximated components must consider potential cross-dependencies between them. This work proposes a systematic approach to integrate and optimally configure parameterizable approximate components in FPGA-based applications, focusing on low-level but high-bandwidth image processing pipelines. The design space is explored by a multi-objective genetic algorithm which takes parameter dependencies between different components into account. During the exploration, appropriate models are used to estimate the quality-resource trade-off for probed solutions without the need for time-consuming synthesis. We demonstrate and evaluate the effectiveness of our approach on two image processing applications that employ multiple approximations. The experimental results show that the proposed methods are able to produce a wide range of Pareto-optimal solutions, offering various choices regarding the desired quality-resource trade-off.     

Design optimization of semiconductor piezoresistors with Schottky diode contacts

A modeling theory is developed to predict the performance of piezoresistors which incorporate Schottky diode electrical contacts. This new theory allows the design of high performance gauges which can be fabricated using Non-Lithographically-Based Microfabrication (NLBM) techniques. These semiconductor piezoresistors can be designed in customizable sizes and fabricated in parallel in order to integrate position sensing into MEMS flexural positioners. Customizable sensing for nanopositioning platforms will enable advances in a range of nano-scale fabrication and metrology applications. A semiconductor piezoresistor with Schottky diode contacts was fabricated and attached to a titanium flexure. This device is shown to match predicted electrical performance within about 8% and to show a gauge factor of 116, within 2% of the predicted value. Optimized performance limits for Schottky diode semiconductor piezoresistors are identified to be about 127 dB full noise dynamic range for a quarter bridge over a 10 kHz sensor bandwidth on a 600 μm width titanium flexure, making them ideal for sensing on meso-/micro-scale flexural positioners. Methods are suggested for achieving the performance limits indicated above and the impact of these methods on the sensor dynamic range are studied.     

教学型智能制造生产线的设计

以智能制造主要技术元素为切入点,设计了教学型智能制造生产线。介绍了企业资源计划系统、制造执行系统、立体仓储单元、工业机器人、数控加工设备、激光打标设备、视觉检测设备、自动装配设备、物料传输设备等教学型智能制造生产线的组成结构,分析了工作流程。这一教学型智能制造生产线具有良好的柔性,可以根据客户需求增减工作单元、调整零件类型、定制商标等,具有较高的实用价值。     

一种新型自动化蓝莓采摘机的设计

针对小浆果种植领域中蓝莓收获难的问题,基于计算机软件和可编程序控制器,设计了一种新型自动化蓝莓采摘机。介绍了这一蓝莓采摘机的结构与工作原理,分析了控制方案,制作了样机,并进行了采摘试验。应用这一新型自动化蓝莓采摘机,可以满足蓝莓收获效率高、破损率低等要求。     

重要厂用水系统设计水温对冷链换热器热工设计的影响分析

核电厂重要厂用水系统设计水温（TSEC）是影响冷链换热器热工设计的重要参数，随着TSEC的增大，冷链换热器的热工设计工况趋于恶劣，导致换热面积和设备尺寸逐渐增大。本文以冷链换热器的典型热工设计工况为设计输入，针对不同的TSEC，采用热混合设计方法，得到了对应TSEC下的冷链换热器板片方案。分析了冷链换热器总通道数量、流道占比、总传热系数随TSEC的变化情况，发现对于特定的热工设计工况，冷链换热器只能在一定的TSEC范围内实现压降和换热裕量的完全匹配，且存在一个临界温度，当TSEC高于该温度后，板片数量会迅速增大，应尽量避免TSEC高于该临界温度。      

环境设计专业学习空间设计探析--以教室改造的参与式设计为例

学习空间的设计必须基于教育理念、学习模式、技术设施与精神氛围等因素展开,以更开放、灵活及多样化的有趣形态来吸引使用者。对于已掌握基本设计方法并具有一定设计思维的环境设计专业学生而言,设计与自身学习行为关联的学习空间,能体现"参与式设计"的特殊意义:即一方面以有着直观体验感受的熟悉空间作为训练案例来有效地整合设计能力;另一方面则通过用户与设计者身份的叠加,从使用者体验一维到对空间发展的专业预设考虑一维共同实现学习空间设计理念的更新。