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气象小卫星发展的回顾与展望

先进小卫星技术（中英文）

先进小卫星技术（中英文） 2024年第1期1卷 23-29页

作者：王劲松卢乃锰赵现纲徐娜姚蓬娟郭杨商建廖蜜国家卫星气象中心(国家空间天气监测预警中心) 北京100081 许健民气象卫星创新中心北京100081

气象卫星对地观测是大气、空间气象要素观测的重要手段.近年来,气象小卫星发展迅猛,引起对地观测领域的广泛关注.回顾了目前国内外具有重要影响力的气象小卫星星座的设计思路和布局,在已经实现的对降水、云雨粒子和大气温湿度廓线等重... 详细信息

气象卫星对地观测是大气、空间气象要素观测的重要手段.近年来,气象小卫星发展迅猛,引起对地观测领域的广泛关注.回顾了目前国内外具有重要影响力的气象小卫星星座的设计思路和布局,在已经实现的对降水、云雨粒子和大气温湿度廓线等重要气象要素的探测能力基础上,提出并阐述了未来中国气象小卫星的发展构想.中国将打造具有前沿技术验证能力、科学试验能力、星座协同和即时定制能力的气象小卫星星座,与大平台系列风云气象卫星互联互通,共同作为数字太空系统的天基感知节点,形成大小结合、星地统筹、协同观测、综合应用的气象卫星发展新格局,为气象高质量发展提供新的技术支撑.

关键词：风云气象卫星气象小卫星掩星探测小卫星微波探测小卫星雷达探测小卫星协同观测

一种基于多Agent的智能家居系统研究与设计

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计算机工程 2006年第21期32卷 233-234,257页

作者：李晓华赵现纲北京农学院计算机教研室北京102206 北京邮电大学计算机学院北京100876

就Agent技术在智能控制领域的应用做了一次尝试,设计出了一种实用性强、较综合全面的基于多Agent的智能家居MAIHS系统方案。考虑到家庭环境在计算、存储以及通信方面的局限性,该系统被设计为2层,由2种Agent组成:监督者(SA)和协作者(CA)... 详细信息

就Agent技术在智能控制领域的应用做了一次尝试,设计出了一种实用性强、较综合全面的基于多Agent的智能家居MAIHS系统方案。考虑到家庭环境在计算、存储以及通信方面的局限性,该系统被设计为2层,由2种Agent组成:监督者(SA)和协作者(CA),并采用集中与分布式相结合的协调策略。此外,系统还将传统的账号密码机制与基于人体生物特征的身份认证方式相结合,使用3层BP神经网络进行综合身份验证,从而可确保拥有较高的保密性、可认证性和灵活性等性能。

关键词：多智能体智能家居指数平滑模型生物特征识别 J2ME

A Parallelization Research for FY Satellite Rainfall Estimate Day Knock off Product Algorithm

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Atmospheric and Climate Sciences 2018年第2期8卷 248-261页

作者： Weixia Lin xiangang zhao Cunqun Fan Manyun Lin Lizi Xie National Satellite Meteorological Center Beijing China

With the development of satellite remote sensing technology, more and more requirements are put forward on the timeliness and stability of the satellite weather service system. The FY satellite rainfall estimate day knock off product algorithm runs longer, about 20 minutes, which affects the estimated rainfall product generated timeliness. Research and development of parallel optimization algorithms based on the needs of satellite meteorological services and their effectiveness in practical applications are necessary ways to enhance the high-performance and high-availability capabilities of satellite meteorological services. So aiming at this problem, we started the parallel algorithm research based on the analysis of precipitation estimation algorithm. Firstly, we explained the steps of precipitation estimated date knock off product algorithm;secondly, we analyzed the four main calculation module calculating the amount of algorithms;thirdly, multithreaded parallel algorithm and MPI parallelization was designed. Finally, the multithreaded parallel and MPI parallelization were realized. Experimental results show that the multithreaded parallel and MPI parallelization algorithm could greatly improve the overall degree of computational efficiency. And, MPI parallelization mode has a higher operating efficiency. The performance of parallel processing is closely related to the architecture of the computer. From the perspective of service scheduling and product algorithms, the MPI parallelization approach is adopted to achieve the purpose of improving service quality.

关键词： Rainfall Estimate Parallelization Multithreading MPI

Study on Massive Vegetation Data Processing of FY-3 Based on RAM (h)

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Journal of Geoscience and Environment Protection 2017年第4期5卷 75-83页

作者： Manyun Lin xiangang zhao Cunqun Fan Lizi Xie Lan Wei National Satellite Meteorological Center Beijing China

The vegetation data of the Fengyun meteorological satellite are segmented according to the latitude and longitude, and can be written into 648 blocks. However, the vegetation data processing efficiency is low because the data belongs to massive data. This paper presents a data processing method based on RAM (h) for Fengyun-3 vegetation data. First of all, we introduce the Locality-Aware model to segment the input data, then locate the data based on geographic location, and finally fuse the independent data based on geographical location. Experimental results show that the proposed method can effectively improve the data processing efficiency.

关键词： Meteorological Satellite Vegetation Data RAM (h) Massive Data Processing

Classification of Meteorological Satellite Ground System Applications

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Atmospheric and Climate Sciences 2017年第3期7卷 374-381页

作者： Manyun Lin xiangang zhao Xieli Zi Peng Guo Cunqun Fan National Satellite Meteorological Center Beijing China

Meteorological satellite ground application system carries a large number of applications. These applications deal with a variety of tasks. In order to classify these applications according to the resource consumption and improve the rational allocation of system resources, this paper introduces several application analysis algorithms. Firstly, the requirements are abstractly described, and then analyzed by hierarchical clustering algorithm. Finally, the benchmark analysis of resource consumption is given. Through the benchmark analysis of resource consumption, we will give a more accurate meteorological satellite ground application system.

关键词： Satellite Ground Application System Application Classification Hierarchical Clustering

Research on Exception of Meteorological Satellite Ground System Application Based on Resource Bottleneck

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Atmospheric and Climate Sciences 2017年第3期7卷 367-373页

作者： xiangang zhao Manyun Lin Weixia Lin Lizi Xie Cunqun Fan National Satellite Meteorological Center BeiJing China

Meteorological satellite ground application system resources are limited. Abnormal satellite missions often lead to hopple of system resources. In order to analyze the problem, this paper presents an anomaly analysis method for meteorological satellite ground system based on resource bottleneck. Through the CPU, memory and I/O, several types of resources in-depth were analyzed to find the bottleneck caused by the problem, thus providing recommendations for application optimization. Experimental analysis shows that the proposed method can reasonably analyze the resource bottleneck of CPU, memory and I/O, and draw a good conclusion. To solve the meteorological satellite application system application anomaly caused by the bottleneck of the problem, the application of optimization to a certain extent plays a positive role.

关键词： Satellite Ground Application System Resource Bottlenecks Application Exception

Polarimetric Meteorological Satellite Data Processing Software Classification Based on Principal Component Analysis and Improved K-Means Algorithm

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Journal of Geoscience and Environment Protection 2017年第7期5卷 39-48页

作者： Manyun Lin xiangang zhao Cunqun Fan Lizi Xie Lan Wei Peng Guo National Satellite Meteorological Centre Beijing China

With the increasing variety of application software of meteorological satellite ground system, how to provide reasonable hardware resources and improve the efficiency of software is paid more and more attention. In this paper, a set of software classification method based on software operating characteristics is proposed. The method uses software run-time resource consumption to describe the software running characteristics. Firstly, principal component analysis (PCA) is used to reduce the dimension of software running feature data and to interpret software characteristic information. Then the modified K-means algorithm was used to classify the meteorological data processing software. Finally, it combined with the results of principal component analysis to explain the significance of various types of integrated software operating characteristics. And it is used as the basis for optimizing the allocation of software hardware resources and improving the efficiency of software operation.

关键词： Principal Component Analysis Improved K-Mean Algorithm Meteorological Data Processing Feature Analysis Similarity Algorithm

锚网索喷联合支护技术在大断面高冒巷道修复中的应用

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煤矿现代化 2007年第4期16卷 25-26页

作者：赵先刚水城矿业(集团)公司生产管理部

介绍了水城矿业(集团)公司汪家寨煤矿利用锚网索喷联合支护技术修复大断面高冒顶软岩巷道的实践,并对支护技术及取得的技术经济效益进行了分析。

关键词：软岩大断面高冒巷道锚网索喷联合支护

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无人作战系统发展对未来战争的影响

国防科技 2015年第5期36卷 55-58页

作者：赵先刚国防大学北京100091

无人作战系统渗透到战场空间的各个领域,对传统的对抗形态、作战方式、战术战法和战争伦理带来了一系列影响。研究表明,对抗形态呈现出由对抗重心转智能较量、对抗规模趋于小型可控、对抗空间拓入全域多维等特点;作战方式出现"人机一体"... 详细信息

无人作战系统渗透到战场空间的各个领域,对传统的对抗形态、作战方式、战术战法和战争伦理带来了一系列影响。研究表明,对抗形态呈现出由对抗重心转智能较量、对抗规模趋于小型可控、对抗空间拓入全域多维等特点;作战方式出现"人机一体"、"无人先导""持续打击"等多种变革,战术战法显现出"干扰阻断、捕获策反"的控制战、混搭编组、整体协同"的集群战"外部开刀、内部摘除"的手术战等多种创新。

关键词：无人作战系统未来战争影响