Research and application of real-time monitoring and early warning thresholds for multi-temporal agricultural products information

Monitoring and early warning is an important means to effectively prevent risks in agricultural production,consumption and price.In particular,with the change of modes of national administration against the background of big data,improving the capacity to monitor agricultural products is of great significance for macroeconomic decision-making.Agricultural product information early warning thresholds are the core of agricultural product monitoring and early warning.How to appropriately determine the early warning thresholds of multi-temporal agricultural product information is a key question to realize real-time and dynamic monitoring and early warning.Based on the theory of abnormal fluctuation of agricultural product information and the research of substantive impact on the society,this paper comprehensively discussed the methods to determine the thresholds of agricultural product information fluctuation in different time dimensions.Based on the data of the National Bureau of Statistics of China(NBSC)and survey data,this paper used a variety of statistical methods to determine the early warning thresholds of the production,consumption and prices of agricultural products.Combined with Delphi expert judgment correction method,it finally determined the early warning thresholds of agricultural product information in multiple time,and carried out early warning analysis on the fluctuation of agricultural product monitoring information in 2018.The results show that:(1)the daily,weekly and monthly monitoring and early warning thresholds of agricultural products play an important early warning role in monitoring abnormal fluctuations with agricultural products;(2)the multitemporal monitoring and early warning thresholds of agricultural product information identified by the research institute can provide effective early warning on current abnormal fluctuation of agricultural product information,provide a benchmarking standard for China's agricultural production,consumption and price monitoring and early warning at the national macro level,and further improve the application of China's agricultural product monitoring and early warning.

Development and Application of Meteorological Disaster Monitoring and Early Warning Platform for Characteristic Agriculture in Huzhou City Based on GIS

Based on the needs of characteristic agricultural production for meteorological services in Huzhou City,we use C# programming language to develop the meteorological disaster monitoring and early warning platform for characteristic agriculture in Huzhou City. This platform integrates the functions of meteorological and agricultural information monitoring,disaster identification and early warning,fine weather forecast product display,and data query and management,which effectively enhances the capacity of meteorological disaster monitoring and early warning for characteristic agriculture in Huzhou City,and provides strong technical support for the meteorological and agricultural departments in the agricultural meteorological services.

We’ve Got the Power: A Framework for Real-Time Network Power Monitoring

The energy consumption of the information and communication technology sector has become a significant portion of the total global energy consumption, warranting research efforts to attempt to reduce it. The pre-requisite for effectual energy management is the availability of the current power consumption values from network devices. Previous works have attempted to estimate and model the consumption values or have measured it using intrusive approaches such as using an in-line power meter. Recent trends suggest that information models are being increasingly used in all aspects of network management. This paper presents a framework developed for enabling the collection of real-time power consumption information from the next generation of networking hardware non-intrusively by employing information models. The experiment results indicate that it is feasible to gather power consumption data using standardized IETF information models, or non-standard customized information models, or through abstracting and exposing the information in a uniform format when no support for the required information models exists. Functional validation of the proposed framework is performed and the results from this research could be leveraged to make energy-efficient network management decisions.

Research on Network Platform of Information Management and Security

With the rapid development and wide application of network technology, information security issues are increasingly highlighted, received more and more attention. This article introduces the present situation of network information security, discusses the connotation of network information security, and analyzes the main threat to the security of the network information. And we separately detailed description of the data monitoring platform architecture from the data layer, network layer and presentation layer three levels, focuses on the functional structure of intelligent database platform, and puts forward to measures that ensure the safety of the platform and the internal data security. Through the design of the platform to improve the information security system has certain significance.

Real-time reliability assessment based on acceleration monitoring for bridge

Bridge health monitoring （BHM） has become increasingly significant in the life-cycle of the structure such as maintenance, repair and rehabilitation. It is necessary to use BHM information efficiently to assess the working conditions of the bridge. The main objective of this study is to develop an effective method and establish a framework for the real-time reliability assessment based on BHM acceleration information. The first-passage probability and its further development have been proposed to as- sess the reliability probability. The first-passage probability shows the probability of that a scalar process exceeds a designated threshold during a given time interval. The advantage of the proposed method is the assessment of the real-time reliability probability based on the monitoring information during an assessment reference period. Furthermore, the velocity data and displacement data are calculated from the acceleration monitoring data using the relationships between their power spectral density （PSD） functions. The real-time reliability assessment of Donghai Bridge, which is the first large scale cross-sea bridge in China, demonstrates that the proposed method is efficient and effective.

基于Hadoop技术的气象数据实时传输监控系统设计

气象数据在传输过程中,可能会出现数据丢失、重复、错误等问题,为准确分析气象问题表现情况,实现对气象问题的实时监控,设计了基于Hadoop技术的气象数据实时传输监控系统;联合JTAG调试电路与数据采集器,调节风速风向、雨雪、雷电、温湿度4个基础监控模块,完成气象数据实时传输监控系统的硬件设计;根据Hadoop架构体系连接形式,搭建Hadoop架构体系,预处理气象数据;在此基础上,匹配数据库机制与业务信息表单,实现应用系统的实时传输监控功能,再联合相关系统硬件,完成基于Hadoop技术的气象数据实时传输监控系统的设计;实验结果表明,在文章设计系统作用下,A、B、C三个场景的风力、降雨、降雪、雷电等级监控结果均与气象数据取样结果保持一致,能够有效实现对风、雨、雪、雷4种气象问题的实时监测,可以准确分析气象问题表现情况,且平均响应时间仅为61.3 ms,具有较好的实时性。

基于气象融合与深度学习的分布式光伏出力区间预测

针对目前分布式光伏功率点预测方法难以全面的描绘分布式光伏功率出力不确定性等问题,提出了一种基于融合气象历史数据和WOA-BiLSTM的分布式光伏区间预测模型。首先,采用气象聚类方法,将历史数据集划分为晴天、多云等4个大类,得到包含各类转变天气过程的气象融合数据集。然后输入待预测日模糊天气类型,根据鲸鱼算法优化的双向长短期记忆网络模型得到光伏功率点预测值。最后通过核密度估计方法对点预测误差进行概率密度估计,叠加点预测值得到总体的预测区间结果。通过实际算例分析,与其他经典模型相比,所提方法具有更高的预测精度。

道路气象环境监测系统设计

为预防很多不定时或不可预知因素(暴雪、飓风、暴雨和道路倾斜等)会对车辆行驶环境安全构成威胁,该文实现一种基于物联网的龙芯架构和Loongbian操作系统,采用多采集节点与中心处理节点架构设计的道路气象环境监测系统,旨在提高道路气象环境监测安全,系统具有良好的可靠性和扩展性,能够满足实际应用需求。

基于GSM的农田气象信息远程监控系统设计

针对传统农田气象信息远程传输方式中布线难、成本高、传输距离有限、入网许可限制等不足,以广泛覆盖的GSM无线网络为基础,提出了一种实现远程农田气象信息采集、传输和监控的技术方案。详细讨论了实现该方案的系统结构模型、工作原理,给出了系统相应的软硬件设计方案,并定义了一种应用层通信协议,以实现系统中各类参数信息、控制信息的有效传输和识别,减小信息阻塞现象。实验表明,该方案系统结构模型合理,软硬件设计可行,具有灵活的扩充性和伸缩性,系统通信成功率为93.3%,可以满足农田气象信息远程监控的实际需要。

基于网络电子海图的海洋气象信息服务系统

针对如何能够方便、直观地获取船舶周围海区气象信息,为岸上船舶管理人员提供集成、有效的气象信息支持的问题,提出了基于网络电子海图的海洋气象信息服务系统。在ArcGIS Server开发平台WebADF以及.NET集成开发环境的支持下,实现了自动、实时地将船舶动静态信息及其周围海洋气象信息融合于网络电子海图的构想,改变了目前海洋气象信息服务大多基于C/S模式的现状。通过系统的运行效果证明,该系统对于船舶安全监管、高效调度和岸基服务具有十分重要的意义。

基于GPRS的农田气象信息监测系统

针对目前精细农业中农田气象信息监测领域存在的问题,为了准确及时获得农田气象信息,提出了基于GPRS的农田气象信息监测系统。系统由采集终端、GPRS通信模块及客户端3部分组成,采集终端以MSP430单片机为核心,主要完成气象参数的采集和处理;GPRS通信模块选用WG-8010 GPRS DTU来搭建GPRS通信平台;客户端采用VB语言编写,主要实现对气象信息的接收显示与管理。实验表明,该系统成本低、功耗小,具有良好的稳定性,且操作方便,可以满足农田气象信息远程监控的实际需求。

基于SNMP的气象网络监控系统设计与实现

随着气象信息化的不断发展,气象网络的规模不断扩大,通过虚拟专线,实现了国家级和省级气象部门业务网络的互联互通。与此同时,气象网络运维在以下几个方面的问题也更加棘手:第一,原有网络监控系统相互独立,无法进行数据整合和处理;第二,监控内容有限,只能获取被监控设备通断等基本信息;第三,告警内容缺少关联,需要人工进行大量二次分析和判断。为此,可通过SNMP技术的普遍适用性,解决网络设备监控过程中存在的兼容性问题,将以往多个系统独立监控转变为一套系统集中管理;利用SNMP可采集信息的多样性,可将以往不能直接获取的设备资源利用率和运行状态等信息纳入采集范围,实现网络设备采集信息的详细化;将B/S模式与SNMP技术相结合,实现监控界面的直观化和告警信息的可视化,达到快速确定故障根源、提高处理效率的目的。对比系统应用前后故障发现时间和故障处理用时,结果表明,新的监控系统可更早地发现网络设备可能存在的安全隐患及提高故障处理效率。

宁夏气象信息传输监控系统的设计与实现

针对当前气象信息业务中存在监控平台多,信息监控人员工作任务繁重的现状,研发宁夏气象信息传输监控系统。本文介绍系统的设计思路、框架结构及数据流程,并探讨实现过程中一些关键问题的解决方案。

基于免疫多Agent的省级气象信息网络监控系统建模

针对传统气象信息网络监控系统故障检测速度慢、误报率高、自适应差等问题,结合人工免疫原理和多Agent技术,构建省级气象信息网络监控系统模型。该模型融合了两者的优势,能同时进行多层次的监测和不同级别的响应。在模型设计过程中,充分考虑了生物免疫特性的算法和模型,将免疫Agent做为构建Multi-Agent系统的模型基础,增强了整个气象信息网络监控系统的新抗体生成能力、记忆性及耐受性。实验仿真证明这种新型的网络监控模型能实现较好的检测率和较低的误测率,为建立网络监控系统提供了理论模型。

虚拟仪器技术的农田气象信息远程监测系统开发探析

通过对虚拟探测技术及其发展趋势的分析,提出农田气象信息远程监测系统设计方案,通过实验对其进行验证。

综合气象观测运行监控业务系统应用实践解析

为了满足当前气象观测基本需求,气象部门在原有观测业务的基础上开始大力应用监控业务系统。以提高气象观测业务水平为目标,围绕综合气象观测运行监控业务系统展开分析。首先,介绍了该监控系统的实际应用价值,了解其在维护气象站稳定运行、提高数据观测质量方面的作用。其次,介绍监控系统基本特性,同时阐述了监控系统的工作流程,最后分别从系统构建、系统运行、监控业务执行3个方面为监控系统的实践应用提出了建议,最大限度地发挥综合气象观测监控业务系统优势,实时监控气象站运行状态,了解气象设备运行基本情况,以便及时发现事故和突发性事件,利用监控系统获取气象数据信息,从而保证气象观测业务水平与质量,全面提升气象观测与监控水平。

基于物联网的高速公路全路段气象检测与交通信息实时提示系统

恶劣的气象和道路条件易引发高速公路交通事故,造成人民生命财产的重大损失,因此很有必要提前向司乘人员发布前方路段的气象和路况信息,警示驾驶员提前绕道或做好防范措施。高速公路全路段气象检测与交通信息实时提示系统是为此目的而研制的一种基于物联网技术的可实现人、车、路互动的提高高速公路行车安全的新型设备。该设备近几年在多条高速公路使用,大大地降低了交通事故的发生率,提高了行车安全,取得了较好的经济和社会效益。

基于数据库的气象信息监控报警平台的设计与实现

针对当前气象信息业务人员紧张，保障人员工作任务繁重的现状，研发了基于SqlServer数据库的气象信息监控报警平台。本文介绍了该系统的设计思路、框架结构及数据流程，并探讨了实现过程中一些关键问题的解决方案。

基于物联网的气象信息采集系统设计

针对局部区域内多点气象信息采集的需求而设计了一套信息采集系统。系统利用物联网技术完成局部区域内多点气象数据采集,并将数据发给基站;通过基站传输,各节点数据将分类实时显示在主监控机的监控软件上并被归类存储;此外,主监控软件可利用机房中的Internet网络将数据实时传输给远程客户端;系统另外还带有全球移动通信系统(GSM)移动报警功能,客户可用手机接收因气象数据超阈值而带来的报警信息。该系统可以应用于远程或室内的局部多点气象信息采集监控领域。

西北太平洋初生热带气旋监测预警信息比较

为解决航运安全相关管理人员对初生热带气旋监测和预警信息进行了解、分辨、选择和使用时存在的困惑,以便使其提前了解初生热带气旋的生成动态,保障船舶在航行和作业的安全性,针对目前可供航运安全管理人员使用的初生热带气旋监测和预警信息比较缺乏和杂乱的情况,在对多个专业气象机构发布的各种西太平洋热带气旋监测和预警信息进行分析和比较的基础上,推荐可供非气象专业的航运安全相关管理人员快速有效地了解西太平洋初生热带气旋生成动态的网站,并给出应用流程和应用实例。该研究结果可为进一步研发专供航运安全相关管理人员使用的初生热带气旋监测和预警系统提供参考。