炼钢-连铸生产调度系统建模

针对炼钢-连铸生产调度,通过扩展UML对象和消息传递机制,形式化捕述每个Agent的知识,并提升其行为控制和模块通讯能力;基于多Agent分布式建模体系,构造出炼钢-连铸生产调度系统所需的各种Agent类的静态属性和方法,及各类之间的动态交互关系,完成调度表生成、信息收集及数据分析处理,实现生产的有效调度．     

可重用的机器视觉检测算法库设计

机器视觉技术涉及的软硬件知识多,系统实现困难,制约了该技术的应用.通过对图像算法研究,提出可重用的机器视觉算法库,采取参数化设计,在多个线阵CCD相机应用项目中得到实用,加速了项目进度,有利于机器视觉系统的推广.     

基于损伤容限设计的冶金桥式起重机疲劳寿命研究

以180t×24．85m冶金桥式起重机为研究对象,通过无损探伤发现桥架北主梁的下盖板上有裂纹,应用有限元分析和损伤容限设计方：去对起重机裂纹的疲劳寿命进行计算。结果表明,起重机裂纹扩展到临界尺寸需要大约5年的时间。     

逐点比较直线插补算法的优化

基于八方向插补算法,提出一种改进的逐点比较插补算法。通过最大插补误差分析,利用解析求解、数值比较及计算机运算,得到一种插补精度较高、运算速度较快、速率较平稳的偏差计算方法。     

基于IMEMS传感器的汽车行驶姿态检测系统设计

为了给汽车安全控制系统提供准确的行驶姿态数据,设计了基于集成微机电系统(IMEMS)传感器的虚拟仪器检测系统。系统采用IMEMS传感器采集车身姿态参数,在虚拟仪器平台下对数据进行分析处理,使用卡尔曼滤波器对测量值进行估计,并在实车工况下对检测系统进行测试。结果表明:系统能够很好地满足汽车行驶姿态检测的要求,具有可靠的实时性。     

Electrical conductivity of self-monitoring CFRC

The present work is concerned with the analysis of the electrical conductivity in carbon fiber reinforced cement composites and of the main parameters influencing the phenomenon: fiber volume fraction, fiber length, hydration time and sand–cement ratio. AC measurements were carried out on CFRC (carbon fiber reinforced cement) and the experimental results were analyzed using the percolation theory. The present study could be useful for the adoption of CFRC as a smart material.     

Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators

Operating construction equipment for extended periods of time may lead to mental fatigue and, as a result, an increased risk of human error-related accidents and jeopardized health problems for the operators. Therefore, to limit the risk of accidents and protect operators' wellbeing, their mental fatigue must be monitored reliably and in real time. Recently, many invasive technologies have been employed to alleviate this problem, but they entail the wearing of physical sensors, which may instigate irritation and discomfort. This study proposes a non-invasive mental fatigue monitoring method using geometric measurements of their facial features that does not require the operators to wear sensors on their body. The study further validates the proposed method by comparing it with wearable electroencephalography (EEG) technology to establish its ecological validity for construction equipment operators. To serve the purpose, a one-hour excavator operation by sixteen construction equipment operators was conducted on a construction site. Ground truth, brain activity using wearable EEG, and geometric measurements of facial features were extracted and analyzed at the baseline and every 20 min for one hour. A considerable temporal variation was found in the reported metrics (eye aspect ratio, eye distance, mouth aspect ratio, face area, and head motion) and were significantly correlated with ground truth and EEG metric. Furthermore, the brain visualization pattern obtained from EEG was also associated with the variations in the facial features. The findings of the study reveal that construction equipment operators’ mental fatigue can be monitored non-invasively using geometrical measurements of facial features.     

Connectivity preservation for multi-agent rendezvous with link failure

This paper proposes a new connectivity-preserving protocol in terms of rectangle-like regions. The protocol consists of a set of distributed control rules; their working together guarantees the network connectivity as well as rendezvous of a discrete-time multi-agent system. It is assumed that all agents share a common minimum sensing radius, but the information exchange may suffer from link failure and recovery. Consequently, the interaction topology is in fact directed and time-varying. By rigorous mathematical arguments, we show the effectiveness and robustness of the protocol in the presence of alignment errors in local coordinate orientations of agents and measurement errors in relative positions of neighbors. We also present simulations to demonstrate the effectiveness of the theoretical results.