工业机器人机械设计参数对控制能量的影响

以三自由度搬运工业机器人为研究对象,通过机械设计参数与能量指标关系的程序计算和仿真的方法,研究了机械设计参数对控制能量的影响,从而为在提高控制系统性能角度优化机械设计参数提供了依据。     

一种工业无线手操器的设计与实现

基于工业无线网络相关技术,提出了一种低功耗的基于IEEE802．15．4技术的便携式工业无线手操器。首先概述了手操器的工作原理,然后详细介绍了系统硬件电路结构及实现的总体方案,最后重点描述了系统的软件架构及实现方法。测试结果表明该手操器工作稳定,达到相应性能指标,可满足一般工业应用的要求。     

杭州湾跨海大桥与宁波工业设计产业的发展

杭州湾跨海大桥的建成通车,使宁波到上海由原来的绕行杭州湾变成直达,宁波由一个交通末梢变成枢纽。大桥给宁波各个行业带来深远的影响,工业设计也不例外。近几年,宁波政府和企业都非常重视工业设计,并采取了许多积极措施。我们要充分利用大桥带来的积极因素,又好又快地发展宁波工业设计产业。     

创意产业与创意人才培养

消费社会的发展,促使现代产业形态从单一的生产,到设计、生产、营销的换代升级迅速转型。产品与服务更新,不再是现有思路与工艺水平的简单重复,创意成为新一轮产品更新的重要竞争力,艺术设计深入到了文化创意层面,创意产业发展对设计人才培养提出新的要求。加强个性化想象艺术素养与实践能力的培育,构建以创造能量培养为核心的教育理念和教学模式,成为设计教育关注的焦点。     

立式数控车床的工业设计研究

主要阐述了立式数控车床设计的一般原则,主要包括安全性原则、可用性原则和美学原则,并结合实例产品具体说明工业设计原则在立式数控车床设计上的应用。     

大型公共建筑中央空调监测系统设计与实现

阐述了具有数据采集、数据通信和数据处理三层系统结构的中央空调电脑监测系统结构原理及实现方法。该系统以单片机设备作为数据采集前端机,以工控计算机为空调系统监测主机,并通过无线和485总线通信方式实现监测主机与数据采集器之间的数据传输。采用这种多级分布式结构不仅避免了模拟信号因长距离传输引起的损耗,简化了系统的布线,而且便于增加传感器的个数和种类,系统易于扩展、升级。笔者完成了整个系统的软硬件设计,实现了一种可以应用于大型公共建筑的中央空调监测系统。     

A simplified fuzzy multivariable structure in a manufacturing environment

Applications of fuzzy control to industrial processes are mainly of multivariable structure. Using the traditional Zadeh principle would require a multidimensional relation to be developed representing a fuzzy model of the system. Such a multidimensional relation would result in memory overload to most industrial computers. Moreover, it would result in a highly complex compositional rule of inference to achieve the final output(s) of the system. This paper proposes a new simplified technique that avoids such complexity as well as memory overload for multivariable structure. Section 2 describes the proposed simplified multivariable technique to avoid memory overload. Section 3 demonstrates these techniques in the form of a robotic welding example where the objective is to control the speed of a robotic arm following an irregular path of weld. The speed value is dependent on the cavity size and determined by the cavity width and cavity depth as inputs. Section 4 describes an experimental application of the technique applied to an industrial process in the manufacture of force transducers termed as the cornering process. This application is composed of a two-inputs-two-outputs system.     

实现“清洁生产”是防治工业污染的根本途径

本文论述了实现“清洁生产”是从根本上消除工业污染,促进环保与经济协调发展的有效途径;指出过去因忽略了生产全过程的控制和工艺进步等关键性环节,造成“先污染,后治理”的事倍功半的后果;提高了实现“清洁生产”的途径和实现“清洁生产”的必要性和紧迫性。     

Improving robustness of industrial object detection by automatic generation of synthetic images from CAD models

Object detection (OD) is used for visual quality control in factories. Images that compose training datasets are often collected directly from the production line and labeled with bounding boxes manually. Such data represent well the inference context but might lack diversity, implying a risk of overfitting. To address this issue, we propose a dataset construction method based on an automated pipeline, which receives a CAD model of an object and returns a set of realistic synthetic labeled images (code publicly available). Our approach can be easily used by non-expert users and is relevant for industrial applications, where CAD models are widely available. We performed experiments to compare the use of datasets obtained by the two different ways—collecting and labeling real images or applying the proposed automated pipeline—in the classification of five different industrial parts. To ensure that both approaches can be used without deep learning expertise, all training parameters were kept fixed during these experiments. In our results, both methods were successful for some objects but failed for others. However, we have shown that the combined use of real and synthetic images led to better results. This finding has the potential to make industrial OD models more robust to poor data collection and labeling errors, without increasing the difficulty of the training process.     

Model-based robust control design and experimental validation of collaborative industrial robot system with uncertainty

Based on the traditional PID control and robust control algorithm, a novel practical robust control method is designed for the 6-DOF collaborative industrial robot with uncertainty. The proposed algorithm consists of a robust term and a model-based PD control term, which we call MPDP controller. It is demonstrated by Lyapunov theoretical analysis that the algorithm is able to guarantee uniform boundedness and uniform ultimate boundedness of the system. Simulations and experiments show the good performance of MPDP control in a robot with smaller steady-state tracking errors and better robustness compared to PID controllers.