大块煤破碎装置的设计与应用

岳城煤矿2135厚煤层工作面在开采实践过程中,片帮大块煤会造成带式输送机的堵塞,引发运输故障,需要停机检修。基于该问题设计了一种对大块煤进行有效破碎的装置,应用中设备操作简便,有效地解决了带式输送机机头卸载点和转载机入口的堵塞问题,为企业创造了较好的经济效益。     

基于RSI的工业机器人开放式控制系统设计

为提高工业机器人的柔性化及智能化水平,同时满足数据的实时共享、监控,使控制系统具有可扩展性与可移植性,设计了一种基于x86平台和RSI的工业机器人开放式控制系统。引入RSI后可载入应用程序包,实现PC工控机与KUKA机器人系统的实时性数据交换。运用模块化设计思路,针对硬件系统,制定软件系统平台的各功能模块,配合Windows操作系统的数据处理能力,在保证工业机器人实时性的前提下,实现了功能的扩展性和增减性。该系统在KUKA工业机器人力反馈实验平台上进行了可行性验证,试验表明,此开放式控制系统的实时响应性良好,满足预期控制要求。     

Efficient framework for mobile walkthrough application

The past few years have witnessed a dramatic growth in the number and variety of graphics intensive mobile applications, which allow users to interact and navigate through large scenes such as historical sites, museums and virtual cities. These applications support many clients and impose a heavy requirement on network resources and computational resources. One key issue in the design of cost efficient mobile walkthrough applications is the data transmission between servers and mobile client devices. In this paper, we propose an effective progressive mesh transmission framework that stores and divide scene objects into different resolutions. In this approach, each mobile device progressively receives and processes only the object’s details matching its display resolution which improves the overall system’s response time and the user’s perception. A fine grained cache mechanism is used to keep the most frequently requested objects’ details in the device memory and consequently reduce the network traffic. Experiments, in simulated and real world environment, are used to illustrate the effectiveness of the proposed framework under various settings of the virtual scene and mobile device configuration. Experimental results show that the proposed framework can improve the walkthrough system performance in mobile devices, with a relatively small overhead.     

配电网自动化应用中的典型误区与对策

论述了现有配电网自动化系统的基本特征、广义特征及发展中遇到的信息系统悖论问题,分析配电网自动化及其信息系统实施的必要条件,针对重庆城乡"二元化"结构提出因地制宜的实现方式和实用化条件,考虑了网络、设备、通道、投资、客户、运维等多方面因素,旨在基于现有理论和经验分析并避免配电网自动化应用中的典型误区。从自动化及相关系统的实施条件、实现方式和实用化等方面进行深入剖析,以新的角度重新认识配电网自动化,对技术、管理和理念等方面问题逐一解析,力图破解配电网自动化领域的信息系统悖论,最终加快实现配电运维水平大幅度提升。     

An approach for evaluating collaboration attributes in cluster-based companies

This paper presents an approach for evaluating collaboration attributes in companies operating in industrial clusters. From the literature review, we identified governance, geographic proximity, and trust as the main collaboration attributes in industrial clusters. For each of them, there is a set of related sub-attributes that composed the evaluation model. For developing the model, we used the graph theoretic approach (GTA), a methodology for multi-attribute assessment that considers interdependencies among elements of a system to provide an overall evaluation. We applied the model to five companies of a furniture cluster. The results showed the model allows for systematizing relationship management because it highlights the collaboration attributes that need to be improved. Furthermore, the application of the model may contribute to encouraging companies to develop collaborative practices.     

工业园区混合能源优化配置方法应用与实践

为了充分挖掘多能源之间的互补潜力,使工业园区混合能源系统的配置方式由传统粗放式转变为精确优化配置并降低系统配置方案的保守性,基于粒子群联合CPLEX求解算法对工业园区的系统配置和运行调度方案进行分析优化,并以某生物园区为例进行了实例分析,得到了目标函数下的最优设计方案和运行策略。仿真分析结果表明,优化配置方法的应用能够协调冷热电多种能源的混合利用,提升系统的综合经济性。同时,为工业园区能源供应项目的规划、设计提供参考性支撑,丰富设计手段。     

膨润土产品及制品标准化现状及发展

本文以膨润土为研究对象，结合膨润土标准化现状，阐述了膨润土在建材、工程、农业以及畜牧业等领域的应用发展。在此基础上，分析了目前国内膨润土标准和膨润土防水毯标准的详细现状，并对标准化现状存在的问题进行详细分析，最后提出建立我国膨润土标准体系的建设性意见。     

基于链路可靠性的两跳QoS路由

针对工业无线传感器网络对路由协议的QoS要求，研究了一种基于链路可靠性的两跳QoS路由（Link-Reliability Based Two-Hop Routing for QoS Guarantee in Industrial Wireless Sensor Networks， LRTHQR）.采用两跳速度策略和数据优先级调度策略提高实时性，采用改进的信任评估模型以选择可信路径进行路由，采用基于接收功率的链接概率和数据包重传次数作为衡量链路可靠性的指标，同时采用能够综合考虑节点剩余能量和转发能耗的转发策略，以改善网络寿命.仿真结果显示：与未考虑链路可靠性的NCSRT （NodeCredible Security Routing for IWSN Based on THTR）算法相比， LRTHQR算法在丢包率、时延以及包平均能耗方面有着明显优势；与同样侧重QoS要求的LRTHR （Link-Reliability based Two-Hop Routing）算法相比， LRTHQR算法在截止期错失率、路由开销以及包平均能耗方面有着显著提升.     

结合优化支持向量机与K-means++的工控系统入侵检测方法

针对工业控制系统传统单一检测算法模型对不同攻击类型检测率和检测速度不佳的问题，提出一种优化支持向量机和K-means++算法结合的入侵检测模型。首先利用主成分分析法（PCA）对原始数据集进行预处理，消除其相关性；其次在粒子群优化（PSO）算法的基础上加入自适应变异过程避免在训练的过程中陷入局部最优解；然后利用自适应变异粒子群优化（AMPSO）算法优化支持向量机的核函数和惩罚参数；最后利用密度中心法改进K-means算法与优化后的支持向量机组合成入侵检测模型，从而实现工业控制系统的异常检测。实验结果表明，所提方法在检测速度和对各类攻击的检测率上得到明显提升。