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.

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.

监护仪数据临床采集系统的开发与应用

目的缩短护士监护仪数据采集时长,提高工作效率,确保监护仪数据采集准确性,规范监护仪的使用。方法开发监护仪数据临床采集系统并应用于患者监护仪数据的采集。比较系统应用前后监护仪数据采集时长,监护仪显示时间与北京时间的时差,监护仪数据采集的准确性,以及护士对该系统的满意度。结果监护仪数据临床采集系统应用后,数据采集时长、监护仪显示时间与北京时间的时差显著短于应用前(均P<0.05);监护仪数据临床采集系统准确性为100%;护士对系统的满意度评分为(4.68±0.54)分。结论监护仪数据临床采集系统的应用可缩短监护仪数据采集时长,提高护士工作效率,确保数据采集的准确性,规范监护仪的使用,护士对该系统满意程度较高。

固定资产管理系统的设计与应用

本文针对某所固定资产管理工作中依赖纸质单据跑签、各级主管部门信息交互不畅、资产体量庞大、资产台账信息动态跟踪不到位的难题,提出建设固定资产管理系统。系统实现了某所固定资产管理业务的全面网上审签,统领了某所的固定资产台账,实现了对资产全生命周期的管理,在提高业务人员办公效率的同时,为资产管理者的资产决策提供了有力的支撑。

态势感知技术在信息安全保障中的应用

公网资产、业务网站和手机应用等作为直接暴露在互联网侧的信息系统和应用,在重大活动期间,极易成为网络攻击者的首选攻击目标和入口。为有效提升信息安全事件的整体处理水平,为重大活动提供信息安全保障,本文对态势感知平台的相关关键技术和应用进行了研究。在相关研究内容的基础上,本文设计开发了一套信息安全态势感知平台,支持重点资产和网站、不良信息以及手机移动应用的安全监测等功能,并能够将各类安全事件和风险进行集中监测感知、态势分析和统一呈现。

利用EDDL技术管理工厂资产——EDDL实现设备与数字工厂的无缝集成,为工厂的预测资产管理方案提供诊断信息

EDDL释放了智能现场设备的潜能,通过直观的方式向工厂相关的操作人员或维护人员传递可执行的设备诊断信息,显著提高设备管理效率和工厂运行性能。

SOC平台云技术安全运营防护方案

本文介绍了SOC平台云技术安全运营防护方案,可以有效的对云平台物理机和虚拟机进行管理,对云平台虚拟机的资源利用率、宿主主机进行有效的管理。通过云资源池安全域管理和安全终端Agent部署,形成对安全域和终端的有效管理,对云资源池安全域内外的网络连接和服务情况的有效监测,通过改造4A平台,实现云安全操作审计。

资产全寿命周期管理信息监测提升研究

为落实电网资产全寿命周期管理信息监测工作部署,发挥信息监测对资产全寿命整体业务管理的带动作用,对资产全寿命周期管理信息监测工作进行研究,解决目前在技术改造和大修工程项目指标统计中存在的统计周期长、无明确时间节点、统计风险高以及缺乏时效性等问题,提高技改大修项目指标统计的准确性和灵活性。通过本次研究,期望提升实物资产管理信息监测指标和日常信息监测评价应用工作的高效性、准确性、安全性,实现资产管理目标策略及指标分解执行管控实时监测的全覆盖应用。