1145(Z)子午线轮胎定型硫化机的开发

介绍了１１４５（Ｚ）子午线轮胎定型硫化机的结构、结构特点、采用的新技术以及为保证制造精度而采取的各种工艺措施。事实证明，这种Ｂ型机械连杆式轮胎定型硫化机的主要技术指标和技术性能达到或超过了９０年代初进口同类设备的先进水平，改变了过去硫化轻型载重汽车和轿车子午线轮胎宜采用Ａ型、ＲＩＢ型轮胎定型硫化机的传统认识。     

A hybrid intelligent system for medical data classification

In this paper, a hybrid intelligent system that consists of the Fuzzy Min–Max neural network, the Classification and Regression Tree, and the Random Forest model is proposed, and its efficacy as a decision support tool for medical data classification is examined. The hybrid intelligent system aims to exploit the advantages of the constituent models and, at the same time, alleviate their limitations. It is able to learn incrementally from data samples (owing to Fuzzy Min–Max neural network), explain its predicted outputs (owing to the Classification and Regression Tree), and achieve high classification performances (owing to Random Forest). To evaluate the effectiveness of the hybrid intelligent system, three benchmark medical data sets, viz., Breast Cancer Wisconsin, Pima Indians Diabetes, and Liver Disorders from the UCI Repository of Machine Learning, are used for evaluation. A number of useful performance metrics in medical applications which include accuracy, sensitivity, specificity, as well as the area under the Receiver Operating Characteristic curve are computed. The results are analyzed and compared with those from other methods published in the literature. The experimental outcomes positively demonstrate that the hybrid intelligent system is effective in undertaking medical data classification tasks. More importantly, the hybrid intelligent system not only is able to produce good results but also to elucidate its knowledge base with a decision tree. As a result, domain users (i.e., medical practitioners) are able to comprehend the prediction given by the hybrid intelligent system; hence accepting its role as a useful medical decision support tool.     

六面顶金刚石压机液压系统压力及超高压优化控制

针对六面顶人造金刚石压机的复杂生产流程要求,设计开发了六面顶人造金刚石压机液压系统的计算机控制装置.其中液压系统压力控制部分采用外置模拟式PI调节器,可根据生产工序的要求自动优化控制器设定值;超高压控制部分采用智能预测与纯比例控制相结合的控制策略,明显提高了人造金刚石压机的液压控制精度.该控制装置已投入实际运行,在改善产品质量品级方面取得了显著的经济效益.     

硫化机硫化外胎露线原因剖析和改进措施

叙述硫化外胎胎冠花纹沟露线、胎冠中心线露线、胎肩露线、胎圈露线以及胎里露线等问题的特征和弊端，提出结构设计、生产工艺和设备条件各方面的预防和改进措施：同一规格、不同花纹的轮胎要用不同的胎面挤出口型，胎肩曲线、内衬层厚度等设计要合理；压延、挤出、成型和定型、硫化各工序要严格执行工艺规程；要经常检查硫化设备运行状况，对磨损和老化部件及时更换。     

水泥回转窑的智能控制

文章介绍了PIT Navigator对水泥熟料生产自动化控制的实现,基于神经网络的自学习、自适应控制元件,将相关的过程数据记录下来,随后借助数据关联性进行分析,在预测和自学习过程模型(模型预测控制)中处理这些数据,并计算过程参数的实时预测,使用这些工具,可以实现更稳定的窑况,同时提高产量和降低能耗。     

对投资子午胎产业热潮的思考

面对80亿元人民币投资我国子午胎产业的热潮，冷静解剖轮胎产业和市场，按照经济结构分析企业发展趋势，预测子午胎企业2003年市场需求和近几年发展总趋势。提出构筑子午胎企业竞争优势的战略大框架，建议组建国家级联合舰队，提升我国子午胎行业的国际竞争力，规避市场风险。     

Human tracking system based on adaptive multi-feature mean-shift for robot under the double-layer locating mechanism

Human tracking has been a challenging task for robot in the past decades. In this paper, to realize the human following in a cluttered environment, a human tracking system based on adaptive multi-feature mean-shift (AMF-MS) under the double-layer locating mechanism (DLLM) is proposed to solve the problem of distinguishing target, occlusion, and quick turning. The DLLM, considering the course location processing and fine location processing, is designed to estimate the person’s position using the fusion of heterogeneous data. As an ID tag attached on target can be detected by RF antennas, the course locating method can track the target easily and quickly. The Bayes rule is introduced to calculate the probability where the tag exists due to the instability of RF signals. In the fine locating step, the AMF-MS is proposed because it can reduce computational load and represent target by multi-feature histogram function. Meanwhile, we combine extended Kalman filter and AMF-MS to overcome MS’s inability of occlusion. To control the robot following the target person precisely, an intelligent gear shift strategy based on fuzzy control is implemented by analyzing the robot structure. Experiments demonstrate that the proposed approach is robust to handle complex tracking conditions, and show the system has an optimum performance.     

基于通用即插即用的服务监控机器人在智能家居中的应用

针对智能家居系统中多种异构电子设备难以与其他设备集成的问题,采用一种通用即插即用(UPnP)方式将服务机器人集成到智能家居系统中,着重介绍了集成后衍生的新服务.首先系统地介绍了UPnP标准和服务机器人Rovio;然后开发一个PC应用程序作为服务机器人和家庭智能网络之间连接的虚拟桥,形成服务机器人为智能家居网络提供服务的控制回路.最后通过一些实际操作来验证UPnP Rovio虚拟桥的性能,旨在探索服务机器人集成到智能家居的可能性和一些衍生的先进服务.通过路径跟踪、垃圾检测等一些先进服务的实际演示验证了通过UPnP方式将服务机器人集成到智能家居网络中的可行性,并展示了智能家居互通后的巨大潜在利益.     

智能电动车辆横纵向协调与重构控制

针对具有高度非线性、强耦合和冗余特性的智能电动车辆运动控制问题,提出了一种由协调控制律和控制分配律组成的横纵向综合控制新方法.首先,建立准确表征智能电动车辆行为机理的动力学模型;其次,采用非奇异滑模控制技术,引入非线性滑动模态切换面,设计有效克服非线性及不确定特性的协调控制律,保证系统状态在有限时间内收敛至平衡点;在此基础上,考虑到轮胎存在冗余和耦合特性,提出基于内点法的控制分配算法来完成期望广义力/力矩的优化分配,实现轮胎横纵向力的协调与重构.仿真结果表明了该方法的有效性.     

基于信息资源聚合的农民专业合作社信息系统

针对农民专业合作社信息获取与信息发布难、成本高的问题,提出基于XM L Schema的农民专业合作社信息聚合元数据表示规范,设计数据传输流程和信息定制与智能推送机制,建设两层部署体系的农民专业合作社信息系统。系统信息服务中心与农业搜索引擎（AgSoso）相结合,为远端用户系统提供最新的信息资源;系统客户端实现合作社生产经营信息的本地化管理,并向信息服务中心同步最新的农产品等信息。应用结果表明,该方案投入成本、维护成本低,资源利用效率高,具有较高的实用应用价值,为农民专业合作社提供了一套基于多来源数据聚合服务的技术解决方案。