Introducing autonomous aerial robots in industrial manufacturing

Although ground robots have been successfully used for many years in manufacturing, the capability of aerial robots to agilely navigate in the often sparse and static upper part of factories makes them suitable for performing tasks of interest in many industrial sectors. This paper presents the design, development, and validation of a fully autonomous aerial robotic system for manufacturing industries. It includes modules for accurate pose estimation without using a Global Navigation Satellite System (GNSS), autonomous navigation, radio-based localization, and obstacle avoidance, among others, providing a fully onboard solution capable of autonomously performing complex tasks in dynamic indoor environments in which all necessary sensors, electronics, and processing are on the robot. It was developed to fulfill two use cases relevant in many industries: light object logistics and missing tool search. The presented robotic system, functionalities, and use cases have been extensively validated with Technology Readiness Level 7 (TRL-7) in the Centro Bahía de Cádiz (CBC) Airbus D&S factory in fully working conditions.     

Group technology based adaptive cell formation using predator-prey genetic algorithm

In recent years, there has been a considerable growth of application of group technology in cellular manufacturing. This has led to investigation of the primary cell formation problem (CFP), both in classical and soft-computing domain. Compared to more well-known and analytical techniques like mathematical programming which have been used rigorously to solve CFPs, heuristic approaches have yet gained the same level of acceptance. In the last decade we have seen some fruitful attempts to use evolutionary techniques like genetic algorithm (GA) and Ant Colony Optimization to find solutions of the CFP. The primary aim of this study is to investigate the applicability of a fine grain variant of the predator-prey GA (PPGA) in CFPs. The algorithm has been adapted to emphasize local selection strategy and to maintain a reasonable balance between prey and predator population, while avoiding premature convergence. The results show that the algorithm is competitive in identifying machine-part clusters from the initial CFP matrix with significantly less number of iterations. The algorithm scaled efficiently for large size problems with competitive performance. Optimal cluster identification is then followed by removal of the bottleneck elements to give a final solution with minimum inter-cluster transition cost. The results give considerable impetus to study similar NP-complete combinatorial problems using fine-grain GAs in future.     

基于OpenLayers的矿场人员监控系统的研究与设计

矿区工作人员的人身安全问题和工作职责问题一直困扰着用工单位。有没有办法实时监控到矿工,又不用花费太高的成本呢?本文介绍了一种基于OpenLayers、Geoserver、J2EE的矿场人员监控的WebGIS应用的设计。     

人群头发元素分布及某些特征研究

本文介绍用堆中子活化分析法测定人群头发中I、Br、Mg、Mn、Cu、Na、V、Cl、Al、Ca、S等11种元素。研究人发中元素分布特征、相关性特征、性别年令分布特征。方法学中还从法庭科学应用角度介绍同一性识别中差异率和重合几率的双判据方法。     

酸洗镀锌化学处理槽制造工艺

对酸洗镀锌化学处理槽(预清洗槽、酸洗槽、漂洗槽)的制造方案、制造工艺，安装使用效果做了分析，该槽满足了安装生产使用要求，为产品的进一步深加工奠定了良好的基础。     

少片渐变刚度钢板弹簧的优化设计与计算

讨论了渐变刚度钢板弹簧的载荷、变形量、刚度和应力的计算，建立了少片渐变刚度钢板弹簧的优化数学模型，利用MATLAB优化工具箱进行优化，并给出了计算实例。     

连轧管生产工艺的演变与选择

介绍了浮动芯棒、限动芯棒和三辊式限动芯棒连轧管工艺的发展历程。分析了各种型式连轧管机的适用条件；并认为，各种机型装备的发展与市场需求紧密相关，单纯从技术上考虑，而追求同一机型不能带来良好的经济效益     

国产气相聚乙烯浆液催化剂的工业应用

本文简要阐述了北化院BCS01和上海院SLC-S两种国产气相聚乙烯浆液催化剂的性能、催化剂结构,在Unipol聚乙烯工业装置上应用结果,以及和进口同类催化剂UCAT-J的性能比较。     

稳定态二氧化氯杀菌剂的制备及应用

稳定态二氧化氯(C1O2)是一新型杀菌消毒剂，具有高效、广谱、安全的特性，适用范围广，不产生对人体有害物质。介绍了稳定态ClO2的性质、检测、制备条件及其在有关领域的应用。     

PRO/Ⅱ软件在硫磺回收中的二次开发应用

硫磺回收装置的设备需要有较大的操作弹性。针对其过程气进口压力低，手工计算难于进行严格的全程压降计算，现以PRO／Ⅱ软件为开发平台，通过扩充数据库和建立模拟流程，成功地将其用于硫磺回收装置的设备选型和核算，为工程设计提供了先进的计算手段。