电厂煤粉在线实测研究

电厂煤粉管道中煤粉浓度和细度对锅炉燃烧、污染排放及安全运行有很大影响。本文介绍了作者用光脉动法在宝钢电厂直吹式制粉系统中对煤粉进行在线检测的结果。测量结果表明,不仅煤粉在煤粉管内截面上的分布是不均匀的,同一台磨煤机出来的各煤粉管内的煤粉浓度和细度也是不均匀的。受煤粉管弯头影响,煤粉流动存在脉动现象,在不同位置脉动的幅度变化很大。     

MCE-1型烟道式飞灰含碳量在线测量系统的研制

研制了烟道式飞灰含碳量在线测量系统,实验研究了微波助率衰减量和飞灰含碳量、飞灰浓度的变化关系,进行了工业应用研究。结果表明,测量系统克服了传统单点采样型微波测试方法存在的飞灰采样缺乏代表性、样品管堵灰、附加设备复杂等缺点,测量精度较高,可靠性好,可以用来电站锅炉在线监测飞灰含碳最。     

Space Videophotometric System for Recording Optical Radiations in the Earth Atmosphere

This paper describes the VFS-3M videophotometric system designed for automatic remote recording of images and parameters of optical radiations following lightning discharges from aboard the Russian segment of the International space station. The characteristics of the system and the possibilities of recording such types of radiation as Red Sprites and Blue Jets are given.     

分布式光伏充电站Web实时监控平台设计

随着光伏充电站基础设施的广泛建设,为电动汽车用户提供便利的同时,也为其管理带来了巨大的挑战;为了实现对光伏充电站更加有效的管理,在分析分布式光伏充电站数据通信方案的基础上,设计了一种光伏充电站Web实时监控平台;该平台基于ZigBee技术、GPRS-DTU技术、HTTP协议设计了直流充电桩无线传感器数据采集方案,部署数据库服务器、Web服务器以克服充电站无人值守的问题,实现对该分布式系统的集中管控,同时设计用于充电预约、监控、提醒等功能的安卓用户APP以提升用户体验,并对该系统进行实验验证;经验证,该设计方案能够有效实现对分布式光伏充电站的实时数据采集与Web端集中管控,为充电站无人值守与远程监控提供了一种有效的技术解决方案。     

换流变压器噪声预测模型及其简化研究

换流变压器作为高压直流换流站主要噪声源,其噪声预测精度和控制方法的选择将直接影响换流站整体噪声预测水平及治理效果。通过对换流变压器噪声的产生机理、噪声频谱及常见治理方案等方面进行系统研究,重点推出了换流变压器噪声控制方法BOX-IN技术,并就BOX-IN装置的噪声预测模型进行了简化和对比验证。通过对降噪量进行现场测试,结果表明,BOX-IN装置降噪量达到20dB(A)左右,与理论计算值近似,为进一步提高高压直流换流站噪声预测精度提供了理论依据。     

自动气象站实时监控系统的研究与设计

针对当前气象探测设备运行监控的重要性,文章对自动气象站监控技术进行了研究;首先结合XML站点信息文件从中心站服务器中获取自动气象站当前整点小时数据与缺测站点信息;然后对数据进行分析、过滤与编码,得到异常信息量;最后将此信息量发送到监控系统中;监控系统以当前成熟的51单片机为核心进行设计,实现与上位机实时通信,同时对当前异常信息量进行显示并产生报警信号,为技术保障员快速发现故障提供可行的依据;系统的实现不仅提高了自动气象站故障的快速响应,同时也为其它气象探测设备的监控提供了参考。     

光电经纬仪布站分析及优化

以试验靶场中光电经纬仪设备的布站情况为例,通过数据仿真计算,分析了光测设备布站的跟踪测量数据处理精度和精度几何因子(Geometric Dilution of Precision,GDOP),为实时数据的可靠性分析以及外测事后数据处理精度分析提供了技术支持.并对设备的几何布站提出了利用遗传算法进行优化的设想,讨论了约束条件及适应度函数,为通过最优的多通道测量数据来交会计算最佳轨道参数提供了参考.     

Three Dimensional Monitoring of Stack Plume Dynamics by a Scanning Mie Lidar System as a Plume Watchdog Station

A scanning lidar system was developed to watch the nighttime diffusion process of plume from a smokestack of a large incinerator located around 3 km from the system. Observed data sets were visualized as three dimensional images in which could be seen the diffusion pattern from any direction, and this made it easy to investigate the exhaust dynamics. Observation results showed that the original plume extended at least 1.6 km, where there was a residential area, from the smokestack increasing in diameter to about 500 m. High density aerosols originating from the smokestack were measured in that area even at midnight. The lidar system performance as a plume watchdog station was discussed from the standpoint of publichealth-related plume monitoring.     

集装箱货运站选址的模糊聚类模型与算法

论分析了集装箱运输的过程，提出集装箱运输是建立在与集装箱箱型相适应的，且具有相同作业能力的一定数量的集装箱货运站基础上的规模运输的发展思想；利用模糊聚类分析方法，研究了集装箱货运站选址的模糊聚类模型与算法；选择全国236个地级及以上城市，探讨了集装箱货运站建设的可能等级、数量和地址。     

Research on Multi-Dimensional Optimal Location Selection of Maintenance Station Based on Big Data of Vehicle Trajectory

In order to rationally lay out the location of automobile maintenance service stations, a method of location selection of maintenance service stations based on vehicle trajectory big data is proposed. Taking the vehicle trajectory data as the demand points, the demand points are divided according to the region by using the idea of zoning, and the location of the second-level maintenance station is selected for each region. The second-level maintenance stations selected in the whole country are set as the demand points of the first-level maintenance stations. Considering the objectives of the two dimensions of cost and service level, the location model of the first-level maintenance stations under two-dimensional programming is established, and the improved particle swarm optimization algorithm and immune algorithm, respectively, are used to solve the problem. In this way, the first-level maintenance stations in each region are obtained. The example verification shows that the location selection results for the maintenance stations using the vehicle trajectory big data are reasonable and closer to the actual needs.