RFID技术在数字城市建设中的应用

介绍了RFID的基本概念和特点,并对RFID技术进行详细地阐述,探讨了RFID技术在数字城市建设中的应用。     

SBAS星历改正数及UDRE参数生成算法分析

星基增强系统(satellite based augmentation system,SBAS)通过地球同步轨道卫星实时播发导航卫星星历改正数和完好性参数,以提升用户定位精度和完好性.采用最小方差法解算GPS星历改正数,利用卡方统计进行改正数完好性检核,并依据星历改正数方差-协方差信息计算SBAS用户差分距离误差(us...     

我国核电厂设计中考虑的自然灾害综述与建议

我国是目前世界在建核电机组最多的国家,总装机容量世界第三,是名副其实的核大国,核安全是国家安全的重要内容,被提到了前所未有的高度.同时,我国也是世界上自然灾害最严重的国家之一,包括核电厂在内的重大工程建设高度重视自然灾害防御设计.日本311地震海啸引起福岛核事故后,核电厂设计中增强了对超设计基准自然灾害的考虑.本文对核...     

藏南拉康温泉地质特征及雄曲河谷两岸地热分布不均成因分析

西藏山南地区洛扎县雄曲河拉康段在600 m距离内出露温泉4处,仅1处位于河谷右岸;平硐勘查显示两岸岩性、产状、构造一致,地热异常却仅在左岸平硐内部显著,右岸平硐地热异常不明显.本次研究以此异常为出发点,通过片麻状花岗岩不同切面导热实验、片麻状花岗岩与板岩相同切面导热实验,温泉水δ2H,δ18O同位素测试分析等方法,探究...     

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.     

黄岛电厂取水工程潮流泥沙数值模拟

建立了基于不规则三角形网格的考虑波浪及其破碎作用的二维潮流场和泥沙场数学模型,对黄岛电厂取水海域的潮流场、泥沙场进行了数值模拟和分析,对电厂取水口的泥淤积强度进行了计算。计算结果表明,电厂取水口附近海区流弱水清,取水口泥沙淤积轻微,对电厂取水基本没有影响。     

自组织竞争神经网络在江苏油田有杆抽油系统故障诊断中的应用

有杆抽油系统的故障诊断技术是国内外采油工程技术中的一个重要研究课题。通过示功图的不同形状特征可以反映抽油机的不同工作状态。将自组织竞争神经网络应用于示功图的识别与分类,建立了一个自组织竞争神经网络模型对示功图进行自动聚类,从而实现故障诊断的自动化。应用江苏油田的实测示功图数据进行实验,可以看出自组织竞争神经网络具有良好的分类能力和泛化性能,是实现油田抽油系统故障诊断的有效技术,具有很强的实用价值和广泛的应用前景。     

广西人工影响天气作业空域报批系统

介绍广西人工影响天气作业空域报批系统的总体结构及各子系统的功能。     

基于虚拟化云平台的气象终端集约化管理

气象终端的集约化管理是气象业务系统和气象服务需求发展到一定阶段后的必然趋势和结果。从气象终端管理的现状和需求、虚拟化云平台的技术体现和应用部署中,体现基于虚拟化云平台的气象终端集约化管理的应用特点和实施效果:提供虚拟防护、桌面管理及行为控制等的策略管理和策略服务,提升气象现代化支撑和保障气象用户个性化需求的能力,为气象平台建设、信息共享、应用服务的终端管理提出了全新概念,是集"应用"、"集成"、"运维"、"安全"到"成本控制"的解决方案。     

基于GIS和RS的西藏森林火险等级计算方法

基于遥感技术(RS)和地理信息系统(GIS),利用由基于DEM演算的地面最高温度、最小相对湿度和最大风速等格点化气象要素,FY2静止气象卫星逐日降水反演产品和AVHRR积雪监测产品计算网格森林火险天气等级,结合由植被类型、NDVI、地形要素和公路、人口聚居地等要素评估的森林火险风险等级,综合计算得到网格化的西藏森林火险等级。该项业务程序基于MeteoInfo组件建立,能够实现全自动化业务运行。对于森林火灾事件,通过与基于气象站的森林火险天气等级相比,该方法的准确性更高,能为西藏林区森林防火工作提供有效参考。