永磁同步风电系统网侧变换器控制策略研究

永磁同步风电系统使用两电平电压型双PWM变换器向电网输送电能.由于变换器直流侧负载扰动引起直流母线电压波动,影响输入电网电能质量.为了减小负载扰动对直流母线电压的影响,提出一个基于相似反对称结构理论的网侧变换器控制方法.以相似反对称结构为闭环期望结构,采用逆推法设计网侧控制器.对系统在负载扰动作用下的稳定性进行分析.用Matlab进行仿真,结果表明该控制器能控制输入电网电能功率因数,提高直流母线电压的稳定性,缩短调节时间,提高系统的鲁棒性,为优化输电网的电能质量提供了依据.     

机载LiDAR输电线路杆塔快速定位方法研究

杆塔位置是机载激光雷达电力巡检应用中进行输电线路点云分段、杆塔提取、变化检测的基础。为了提高其自动定位的精度和效率,提出了一种适用于复杂地形的高压输电线路杆塔自动定位方法。首先在分析了输电线路点云相对高度、垂直和水平分布特征基础上,采用格网预处理剔除低位点格网、聚类分析确定候选类簇,然后利用格网垂直连续分布系数、高程分布系数和凸包系数等识别杆塔点所在格网,并以邻近格网中心作为杆塔水平位置。实验结果表明：相比前人的方法,算法的杆塔定位精度提高了11.7%,查准率和召回率分别提高了50%和20%,尤其是在地形起伏大且不连续的情况下具有较好的普适性。     

基于栅格服务的测试保障智能化研究

从某类装备测试保障能力现状分析入手,论证了测试保障及技术支援保障面向使用模式转型的智能化使用需求,分析了当前测试设备通用化和标准化的快速推进与栅格化、智能化的技术推动基础,然后以标准测试系统为背景介绍了基于栅格的智能化测试保障方案,并深入介绍了云服务测试保障、网络仪器资源虚拟化等栅格应用的关键技术,为形成智能化保障指挥、构建指挥保障一体化提供思路。     

Progress on the hydraulic measures for grid slotting and fracking to enhance coal seam permeability

A method of hydraulic grid slotting and hydraulic fracturing was proposed to enhance the permeability of low permeability coal seam in China. Micro-structural development and strength characteristics of coal were analysed to set up the failure criterion of coal containing water and gas, which could describe the destruction rule of coal containing gas under the hydraulic measures more accurately. Based on the theory of transient flow and fluid grid, the numerical calculation model of turbulence formed by high pressure oscillating water jet was used. With the high speed photography test, dynamic evolution and pulsation characteristics of water jet water analysed which laid a foundation for mechanism analysis of rock damage under water jet. Wave equation of oscillating water jet slotting was established and the mechanism of coal damage by the impact stress wave under oscillation jet was revealed. These provide a new method to study the mechanism of porosity and crack damage under high pressure jet.Fracture criterion by jet slotting was established and mechanism of crack development controlled by crack zone between slots was found. The fractures were induced to extend along pre-set direction,instead of being controlled by original stress field. The model of gas migration through coal seams after the hydraulic measures for grid slotting and fracking was established. The key technology and equipment for grid slotting and fracking with high-pressure oscillating jet were developed and applied to coal mines in Chongqing and Henan in China. The results show that the gas permeability of coal seam is enhanced by three orders of magnitude, efficiency of roadway excavation and mining is improved by more than 57%and the cost of gas control is reduced by 50%.     

完善培训机制 塑造培训品牌

通过分析新员工的培训需求,可以树立正确的培训目标,从而有利于采用合适的培训方法,制定完善的培训机制。作为新入职的员工,最渴望就是要了解公司的现状,公司未来的发展．自己在公司有哪些机会,需要付出什么,又将得到什么？因此新员工培训的目的主要是使他们能了解企业,尽快融入企业,胜任工作,产生绩效,即加速实现个人和企业的协同发展,同时塑造培训品牌。     

网状阳极在大型储罐底板阴极保护工程中的应用

文章介绍了网状阳极在茂名、湛江、岚山和上海地区的大型储罐阴极保护系统的应用情况。从实际运行的结果看,罐底板的保护电位都达到了设计要求和标准规定,保护电位分布相当均匀。保护电流密度也满足了设计要求。保护效果较好,表明网状阳极对于大型储罐的外底板的阴极保护是一种较好的解决方案。对于发现的几个问题也作了讨论。     

Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites

The challenges of machining, particularly milling, glass fibre-reinforced polymer (GFRP) composites are their abrasiveness (which lead to excessive tool wear) and susceptible to workpiece damage when improper machining parameters are used. It is imperative that the condition of cutting tool being monitored during the machining process of GFRP composites so as to re-compensating the effect of tool wear on the machined components. Until recently, empirical data on tool wear monitoring of this material during end milling process is still limited in existing literature. Thus, this paper presents the development and evaluation of tool condition monitoring technique using measured machining force data and Adaptive Network-Based Fuzzy Inference Systems during end milling of the GFRP composites. The proposed modelling approaches employ two different data partitioning techniques in improving the predictability of machinability response. Results show that superior predictability of tool wear was observed when using feed force data for both data partitioning techniques. In particular, the ANFIS models were able to match the nonlinear relationship of tool wear and feed force highly effective compared to that of the simple power law of regression trend. This was confirmed through two statistical indices, namely r² and root mean square error (RMSE), performed on training as well as checking datasets.     

基于网格和图论的初始聚类中心确定算法

针对传统K-means算法随机选取初始聚类中心,易造成准则函数收敛速度慢、聚类结果陷入局部最优等问题,提出一种基于网格和图论的初始聚类中心确定算法。该算法将数据空间网格化,通过在网格单元上形成树的连通分支来选取初始中心点。采用模拟和真实数据集对该算法选取的初始中心进行测试,实验结果表明,改进后的K-means算法在降低时间复杂度、减少迭代次数以及提高聚类精度方面都取到了较好的效果。     

Square Grid结构无线传感网数据传输的源路由策略分析

无线传感网中的汇聚传输模式使得靠近汇聚点的节点承担了较多的数据转发业务,导致这些节点能量很快耗尽,造成网络节点负载分布不均衡。针对这种汇聚传输问题,结合规则拓扑结构的对称性和预知性,提出基于Square Grid规则拓扑结构中分析典型源路由策略,设计一种计算路由节点负载分布的转发指数,并依据该转发指数分析各路由策略负载性能的方法。通过Mathematica绘制各路由节点负载分布图并对比各路由策略的转发指数,实验结果验证了Balancing Forwarding路由策略的节点具有较均衡的负载分布。该方法能有效地应用于评价路由策略的优劣。     

遥感网格的数据压缩与任务分配方法研究

网格计算作为分布式计算在科学计算领域的发展方向,可以为对地观测数据的处理提供强大的计算力。在分析遥感信息服务网格节点(Remote Sensing Information Service Grid Nodes,RSSN)中网络数据传输和负载均衡两个关键问题的基础上,提出了一种有效的基于游程编码和Huffman编码的数据压缩方法和基于"计算端元"的任务分配策略,该方法针对遥感影像特点进行有效数据压缩,具有较好的压缩比,达到了17%,且能实现任务负载均衡。并在遥感信息服务网格节点计算平台上,以中国范围内1km分辨率气溶胶光学厚度(Aerosol Optical Depth,AOD)反演计算为例,从压缩率和计算时间效率方面验证和分析了上述方法的有效性。