The data platform of national special environment and disaster field observation stations based on grid environment

The Data Platform of Resource and Environment—whose data mainly come from field observation stations,spatial observations,and internet service institutions—is the base of data analysis and model simulation in geoscience research in China.Among this integrated data platform,the tasks of the data platform of field observation stations are principally data collection,management,assimilation,and share service.Taking into consideration the distributing characteristics of the data sources and the service objects,the authors formulated the framework of the field observation stations' data platform based on the grid technology and designed its operating processes.The authors have further defined and analyzed the key functions and implementing techniques for each module.In a Linux operating system,validation tests for the data platform's function on data replication,data synchronization,and unified data service have been conducted under an environment that of the simulating field stations.

Interactive Generalization on Large-Scale Topographical Map Supported by a Database Platform

This paper makes astudy on the interactive digital gener-alization, where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure, which are done by human andcomputer, respectively. And an inter-active map generalization environmentfor large scale topographic map is thendesigned and realized. This researchfocuses on: ① the significance of re-searching an interactive map generali-zation environment, ② the features oflarge scale topographic map and inter-active map generalization, ③ the con-struction of map generalization-orien-ted database platform.

Accuracy improvement of the traditional rolling force and torque model powered by an industrial data platform

The calculation results of the rolling force and torque model based on Orowan's differential equation numerical solution method do not fit with the industrial measurements very well.In particular,a quite large deviation on the torque model was found.On the basis of analyzing the shortcomings of the existing method,an improved rolling force and torque model algorithm aided by the Process Integrated Data Application System platform is proposed.Accordingly,the calculation accuracy of the rolling torque model is improved.The improved models are verified by 1711136 records of a data platform.The improved models are also based on Orowan's differential equation.Two coefficients,namely,friction factor and forward slip,are recognized as the crucial factors to be determined from industrial measurements to improve the accuracy.Therefore,the proposed method is a hybrid method that can be used to deeply understand the rolling process and improve the model's accuracy by combining traditional plastic mechanics and data-driving global optimization algorithms.This paper proposes a new approach to studying theoretical rolling deformation models powered by the industrial data platform.

Preliminary build and application of a data analysis platform for coiled tubing steel strips

To solve the problems in the quality control and improvement of coiled tubing steel strips production, such as scattered and inefficient production data, difficult performance fluctuation factor analysis, complex multivariate statistical analysis, and low accuracy and difficulty in mechanical property prediction, an industrial data analysis platform for coiled tubing steel strips production has been preliminarily developed.As the premise and foundation of analysis, industrial data collection, storage, and utilization are realized by using multiple big data technologies.With Django as the agile development framework, data visualization and comprehensive analyses are achieved.The platform has functions including overview survey, stability analysis, comprehensive analysis(such as exploratory data analysis, correlation analysis, and multivariate statistics),precise steel strength prediction, and skin-passing process recommendation.The platform is helpful for production overviewing and prompt responding, laying a foundation for an in-depth understanding of product characteristics and improving product performance stability.

The Practice-oriented Platform of“Data Structure and Algorithm”Curriculum

"Data Structure and Algorithm",which is an important major subject in computer science,has a lot of problems in teaching activity.This paper introduces and analyzes the situation and problems in this course study.A "programming factory" method is then brought out which is indeed a practice-oriented platform of the teachingstudy process.Good results are obtained by this creative method.

Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

Nowadays, we experience an abundance of Internet of Things middleware solutions that make the sensors and the actuators are able to connect to the Internet. These solutions, referred to as platforms to gain a widespread adoption, have to meet the expectations of different players in the IoT ecosystem, including devices [1]. Low cost devices are easily able to connect wirelessly to the Internet, from handhelds to coffee machines, also known as Internet of Things (IoT). This research describes the methodology and the development process of creating an IoT platform. This paper also presents the architecture and implementation for the IoT platform. The goal of this research is to develop an analytics engine which can gather sensor data from different devices and provide the ability to gain meaningful information from IoT data and act on it using machine learning algorithms. The proposed system is introducing the use of a messaging system to improve the overall system performance as well as provide easy scalability.

The IRIS Development Platform and Proposed Object-Oriented Data Base

Various code development platforms, such as the ATHENA Framework [1] of the ATLAS [2] experiment encounter lengthy compilation/linking times. To augment this situation, the IRIS Development Platform was built as a software development framework acting as compiler, cross-project linker and data fetcher, which allow hot-swaps in order to compare various versions of software under test. The flexibility fostered by IRIS allowed modular exchange of software libraries among developers, making it a powerful development tool. The IRIS platform used input data ROOT-ntuples [3];however a new data model is sought, in line with the facilities offered by IRIS. The schematic of a possible new data structuring—as a user implemented object oriented data base, is presented.

The Design and Implementation of Multi-user Data Sharing Platform for Remote Monitoring System Based on Virtual Instruments

Remote data monitoring system which adopts virtual instrument usually applies data sharing, acquisition and remote transmission technology via internet. It is able to finish concurrent data acquisition and processing for multi-user and multi-task and also build a personalized virtual testing environment for more people but with fewer instruments. In this paper, we＇ 11 elaborate on the design and implementation of information sharing platform through a typical example of how to build multi-user concurrent virtual testing environment based on the virtnal software LabVIEW.

Analysis and Enlightenment of Big Data Platform for Adverse Drug Reaction Supervision in China and the United States

Objective To introduce the relevant big data platforms of FDA regulatory sciences and to provide reference for the construction of big data platform for China’s regulatory science under the“14th five-year plan”to deepen the reform of medical and health system.Methods A comparative analysis was made on China’s big data for regulatory science after studying the development process,operation mode,practical significance and characteristics of the big data platform for FDA regulatory science,which would help China to establish a perfect big database.Results and Conclusion The construction of big data platform for China’s regulatory science is not comprehensive compared with that in the United States.It is necessary to build data platforms in line with China’s national conditions through efforts in law,talents,standards,and other aspects.

基于DataOps的企业管理业务全链路的数据中台解决方案

针对企业管理数字化存在的问题,融入DataOps(数据开发即治理)理念,建立一体化敏捷开发平台,提供异构数据源快速的同步能力,设计标准高效、轻量化、可视化、易运维的数据采集、开发工具,提供标准统一的数据共享服务,通过实际应用表明此方案可缩短开发周期,显著提升数据开发效率,有效提升数据治理、分析、服务能力,充分体现数据资源的价值,获得显著应用效果。

A Novel Agricultural Data Sharing Mode Based on Rice Disease Identification

In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.

韩国MyData制度:内涵、实践及其影响

[目的/意义]韩国是率先推动MyData应用落地的国家。韩国在个人数据管理领域的实践和探索,特别是在推广MyData模式方面,可为我国个人数据管理和应用制度的完善提供有益参考。[方法/过程]结合韩国数字政府发展状况,运用文献研究及比较研究方法,探讨MyData概念与制度内涵。从数字平台政府所实施的国家战略措施角度,考察MyData在公共领域和金融领域的应用和效果。[结果/结论] MyData作为一种新型个人数据管理模式,对个人数据权益保护、政府公共服务创新、数据资产流通与利用,都具有积极的作用和影响。MyData制度在平衡个人数据充分利用与数据安全维护方面,具有重要的应用价值和实践意义。

社交平台的时尚流行偏好与机构预测结果的差异性分析

为了分析流行趋势机构预测结果与消费者时尚流行偏好的差异,以WGSN、亦服科技、蝶讯网这3家在时尚趋势预测领域颇具影响力的机构作为研究对象,梳理目前国内外消费者时尚偏好、时尚流行趋势预测的研究现状,以小红书、微博作为消费者偏好数据源,利用文本挖掘、关键词频统计、相似性分析等方法,将3组基于专家转述的流行趋势关键词分别与平台趋势关键词进行对比。结果表明:3组基于专家转述的流行趋势关键词与平台趋势关键词具有显著性差异,其中蝶讯网的预测结果与消费者偏好相似度较高,其次是亦服科技,WGSN的预测与消费者偏好的差异性较大。可为时尚趋势预测行业更好地满足消费者需求提供参考。

基于3DE平台的船舶模型数据分析

为避免因模型数据量过大造成数字化设计的系统性风险,结合船舶设计特点,系统梳理了3DE平台系统架构具体组成。从设计流程入手指出模型数据存储位置,以明确研究对象。为深入分析模型数据演变规律,结合二次开发建立了具体监测方法,首先以典型舱段为对象获取设计模型数据变化趋势,为工程设计提供技术基础。然后分析了数据量、参考零件数、打开耗时随设计不断推进的变化,研究表明模型数据量管控关键在于全船的基础库设备和船体结构设计数据。最后,详细阐述了船舶数字化设计管控措施,可有效加快数据流转和提升设计效率。研究结果有利于设计人员深入管控船舶模型数据。

短视频赋能文体旅商融合发展的机制与路径

短视频是我国文体旅商融合发展的重要传播方式,但是对其赋能的研究明显不足。在文体旅商融合发展过程中,耦合要素是内聚力,子产业发展水平是支撑力,注意力规模是拉动力,收益分配是刺激力。短视频传播对文体旅商融合的作用机制包括:化为耦合要素,推动业态融合;创造消费热点,助推产业升级;助力价值传递,提升注意力规模;激发情感认同,推动价值变现。文体旅商融合主体需要积极探索技术赋能短视频的方法,提高短视频的传播效能;重视数据资源的获取、分析和创新性应用,提高短视频的传播精度;实施多平台战略,提高短视频内容的传播广度;借力网络意见领袖,创造短视频的传播热度。

传统服务型企业数据中台搭建过程研究——以广州白天鹅宾馆为例

数字化战略实施过程中,如何搭建行之有效的数据中台,既是解决传统服务型企业前台业务与后台业务脱节之现实问题,也是数字化研究领域亟待解决的理论问题。文章采用探索性单案例方法,以广州白天鹅宾馆为例,深度剖析传统服务型企业数据中台搭建过程。研究发现:第一,传统服务型企业数据中台搭建主要涵盖技术与业务两条行为路径,包含业务数据收集与技术数据交换、技术与业务数据整合、技术服务业务下的业务与技术数据调整等3个步骤;第二,技术探索与业务整合行为形成了技术动态能力和业务动态能力,根据技术与业务的新旧程度,这些能力进一步细分为旧技术不足感知能力、新技术获取能力、旧业务重组能力、新业务感知能力等10个类别;第三,数据中台搭建过程遵循“战略-行为-能力”框架,能力反哺战略行为是有效搭建数据中台的动力机制。据此,文章提出了传统服务型企业数据中台搭建过程模型,为传统服务型企业数字化战略提供了有益洞见。

智慧学习环境下的在线学习行为分析

本文基于智慧学习平台的在线教学受到的关注日益增多,分析在线学习现状及相关因素对提升教学质量具有重要意义。首先,通过对智慧学习平台的课程学习数据进行分析,确定学习行为指标的四个分类:学习者基本情况、操作行为、协作行为、问题解决行为;其次,利用主成分分析和聚类分析,确定学习行为与学习效果的正相关性,将学习样本分为积极型和消极型;再次,对比不同环境下的教学效果,发现在线学习在大部分情况下表现优于传统教学;最后,进行学习行为维度与学习成绩的相关性分析,得到影响学习成绩的主要因素为学习时间和学习次数。在此基础上,从学习者、教师等角度提出相应教学建议。

基于re3data的英国科学数据发布平台研究

本文以re3data为数据获取源,选取英国247个科学数据发布平台为研究对象,从责任主体、平台功能、数据资源、数据传输四个角度出发,对英国科学数据发布平台特点进行研究,总结英国科学数据发布平台特点及建设经验,为科研人员访问和利用现有科学数据发布平台、科学数据发布平台建设者建设和完善平台提供一定指导。

智慧电厂大数据云平台的架构建设与模型开发研究

火电机组运行智慧化是“双碳”目标约束下机组灵活运行的关键技术,基于大数据云计算平台的机组数字化架构是其重要组成部分。但目前现役机组的云平台改造建设尚缺乏深入技术探索及报道。以2台350 MW机组为例,系统开展了火电大数据云平台改造建设的实践研究。首先,发展了利旧的私有云平台搭建技术,实现了整合厂内原有6台服务器资源的低成本部署,同时保障建设期内机组正常运行;其次,针对火电机组万亿级的年数据量存储及电厂应用场景下数据读取需求,发展了云平台数据库数据同步技术,改进了数据库的测点管理方式及数据存储方式,开发了数据接口服务,使云平台数据库实现105量级测点数据的秒级写入及3 s内全年数据的单点检索。在此基础上,在云平台上部署了依托2.45×109条数据的大数据寻优算法,实现了机组能耗的可视化运行指导;搭建了针对高噪声测量数据的预处理模型,完成了对风量等数据的趋势提取;开发了选择性催化还原(SCR)入口NO x浓度的神经网络预测模型,并通过构建负荷变化因子对预测结果进行反馈调节,可捕捉不同幅度的喷氨量变化需求。上述模型框架均可在云平台实现灵活调整与拓展,所提技术可为火电企业及新型低碳/零碳燃烧能源设备的智慧云平台建设提供参考。