多仓混棉机仓数的讨论

本文应用概率分析方法讨论多仓混棉机的混和效果——混和成分配比的正确程度,从而提出多仓混棉机的合理仓数和混和方法的综合运用。

大数据时代数据仓库技术的发展及应用

[目的]随着互联网和人工智能技术的发展,新闻行业也已进入大数据时代,充分利用好新闻产品制作以及传播中产生的数据对做出可靠的分析判断乃至决策有着重要的意义。[方法]数据仓库技术提供了这样的数据分析处理能力,本文介绍了数据仓库技术的发展现状和相关应用,特别是近几年出现的众多如Hive、Flink及Hudi这样新的技术框架,以及实时数仓和流批一体等新的技术理念。[结果]实现将数据仓库的最新技术和理念在新闻生产、传播以及考核评价等业务的应用实践。[结论]数据仓库技术在新闻行业的应用可以为我们的宣传工作提供更有力的数据决策支持。

敏捷型数据仓库的设计及应用方法

传统数据仓库在当前时代背景下体现出一些疲态。论文提出了在高算力平台支持下新的敏捷型数据仓库建设体系,该体系建立在数据仓库维度建模方法论之上,以内存计算为技术基础,以业务分析矩阵方法为实施指导路线,自下而上、循序渐进地构建企业级数据仓库体系,有利于实现端到端实时分析、更加适应需求变化。该体系被应用于某大型能源行业央企,取得了显著效果。

关于散料分配仓的探讨

针对散料分配仓进行皮带机分料的一些因素进行了分析。

清梳联开清棉流程混棉质量探析(下)

用好清梳联既要重视棉结、短绒率,也要关注混棉均匀。通过分析指出:自动抓棉使传统的“立体混棉”和“开混结合”改变为“时差混和”和“开混分离”,破坏了输出棉流瞬时都要全成分按比例混和的要求,降低了混棉效果。提出提高清梳联开清棉流程的混棉效果必须从设备、管理、工艺各方面综合治理的观点。自动抓棉机采用宽幅抓臂、双抓棉辊、小单元混棉、按成分组合科学排包和快抓、浅抓工艺;多仓混棉机采用加大仓位数、多仓串联、增加混和次数的方法,可基本克服清梳联混棉不匀的缺陷,达到较好的混棉效果。

Research of data architecture in digital ocean

The characters of marine data, such as multi-source, polymorphism, diversity and large amount, determine their differences from other data. How to store and manage marine data rationally and effectively to provide powerful data support for marine management information system and ＂Digital Ocean＂ prototype system construction is an urgent problem to solve. Different types of system planning data, such as marine resource, marine environment, marine econotny and marine management, and establishing marine data architecture frame with uniform standard are to realize the effective management of all level marine data, such as national marine data, the provincial （municipal） marine data, and meet the need of fundamental information-platform construction.

XML Based Data Cube and X-OLAP

Data warehouse provides storage and management for mass data, but data schema evolves with time on. When data schema is changed, added or deleted, the data in data warehouse must comply with the changed data schema, so data warehouse must be re organized or re constructed, but this process is exhausting and wasteful. In order to cope with these problems, this paper develops an approach to model data cube with XML, which emerges as a universal format for data exchange on the Web and which can make data warehouse flexible and scalable. This paper also extends OLAP algebra for XML based data cube, which is called X OLAP.

Uniform Representation Model for Metadata of Data Warehouse

A uniform metadata representation is introduced for heterogeneous databases, multi media information and other information sources. Some features about metadata are analyzed. The limitation of existing metadata model is compared with the new one. The metadata model is described in XML which is fit for metadata denotation and exchange. The well structured data, semi structured data and those exterior file data without structure are described in the metadata model. The model provides feasibility and extensibility for constructing uniform metadata model of data warehouse.

An Application of a Multi-Tier Data Warehouse in Oil and Gas Drilling Information Management

Expenditure on wells constitute a significant part of the operational costs for a petroleum enterprise, where most of the cost results from drilling. This has prompted drilling departments to continuously look for ways to reduce their drilling costs and be as efficient as possible. A system called the Drilling Comprehensive Information Management and Application System (DCIMAS) is developed and presented here, with an aim at collecting, storing and making full use of the valuable well data and information relating to all drilling activities and operations. The DCIMAS comprises three main parts, including a data collection and transmission system, a data warehouse (DW) management system, and an integrated platform of core applications. With the support of the application platform, the DW management system is introduced, whereby the operation data are captured at well sites and transmitted electronically to a data warehouse via transmission equipment and ETL (extract, transformation and load) tools. With the high quality of the data guaranteed, our central task is to make the best use of the operation data and information for drilling analysis and to provide further information to guide later production stages. Applications have been developed and integrated on a uniform platform to interface directly with different layers of the multi-tier DW. Now, engineers in every department spend less time on data handling and more time on applying technology in their real work with the system.

Organization and storage model of marine information and its application in the "China Digital Ocean"

Based on the experience and achievement of the＂China Digital Ocean＂, the classification plan for Marine data elements is made, which can be classified into five, including marine point elements, marine line elements, marine polygon elements, marine grid elements and marine dynamic elements. In this paper, the technology of features and object-oriented method, a spatial-temporal data model is proposed, which can be applied in the large information system engineering like the ＂Digital Ocean＂, and this paper discusses the application of spatial data model, marine three-dimensional raster data model and relation data model in the building of Data Warehouse in ＂China Digital Ocean＂, and concludes the merits of these models.

Design and development of analytical CRM based on OLAM technology

Some key technologies of actualizing customer relationship management(CRM)systems are researched.The customer analysis mining prototype systems on the basis of on-line analytical mining(OLAM)is designed.After transaction analysis,the data warehouse of CRM is constructed.The CLV/CL/CC customer division model based on customer lifetime value,customer loyalty and customer credit is emphatically researched.Three parameters of customer division—customer lifetime value,customer loyalty and customer credit—are calculated by corresponding algorithms,which can realize customer divisions effectively and improve the accuracy of distinguishing among customers.The data of product sales are analyzed by the sequence association rules algorithm,the potential rules of the products relevance are discovered,which can provide evidence for supporting decisions such as promotion strategies.The transaction data such as product sales volumes and order lists are analyzed on-line through multi-dimensional and multi-level up-drills,down-drills,and horizontal/longitudinal sections.The customer property factors are analyzed as well.The theory and practice of OLAM and its visualization are further explored.

A novel algorithm for frequent itemset mining in data warehouses

Current technology for frequent itemset mining mostly applies to the data stored in a single transaction database. This paper presents a novel algorithm MultiClose for frequent itemset mining in data warehouses. MultiClose respectively computes the results in single dimension tables and merges the results with a very efficient approach. Close itemsets technique is used to improve the performance of the algorithm. The authors propose an efficient implementation for star schemas in which their al- gorithm outperforms state-of-the-art single-table algorithms.

SOME ISSUES ON URBAN CENSUS GIS DESIGNING

This paper first briefly looks back on the history of census GIS around the world,and then summarizes some preponderances of developing urban census GIS in China.And then a three-tier construction architecture for the urban census GIS is proposed.Finally,using the illustration of the census data of Guangzhou city,the paper analyzes and elaborates some issues on the urban census GIS designing,such as data management,data warehouse building,and data analysis.

Refreshing File Aggregate of Distributed Data Warehouse in Sets of Electric Apparatus

Integrating heterogeneous data sources is a precondition to share data for enterprises. Highly-efficient data updating can both save system expenses, and offer real-time data. It is one of the hot issues to modify data rapidly in the pre-processing area of the data warehouse. An extract transform loading design is proposed based on a new data algorithm called Diff-Match,which is developed by utilizing mode matching and data-filtering technology. It can accelerate data renewal, filter the heterogeneous data, and seek out different sets of data. Its efficiency has been proved by its successful application in an enterprise of electric apparatus groups.

ECT Image Analysis Methods for Shear Zone Measurements during Silo Discharging Process

The paper covers the electrical capacitance tomography(ECT) data analysis on shear zones formed during silo discharging process.This is due to the ECT aptitude for detection of slight changes of material concentration.On the basis of ECT visualisations,wall-adjacent shear zone profiles are analysed for different wall roughness parameters.The analysis on changes of material concentration,based on ECT images,enables the calculation for the characteristic parameters of shear zones-size and material concentration inside the shear zone in a dynamic process of silo discharging.In order to verify the methodology a series of experiments on gravitational flow of bulk solids under various conditions were conducted with different initial granular material packing densities and silo wall roughness.The investigation shows that the increase in container wall roughness is an effective method for reducing the dynamic effects during the material discharging,since these effects are resulted from the resonance between hopper construction and trembling material.Such effects will damage industrial equipment in practical applications and need further investigation.

The Proposal of Data Warehouse Validation

The analysis of relevant standards and guidelines proved the lack of information on actions and activities concerning data warehouse testing. The absence of the complex data warehouse testing methodology seems to be crucial particularly in the phase of the data warehouse implementation. The aim of this article is to suggest basic data warehouse testing activities as a final part of data warehouse testing methodology. The testing activities that must be implemented in the process of the data warehouse testing can be split into four logical units regarding the multidimensional database testing, data pump testing, metadata and OLAP （Online Analytical Processing） testing. Between main testing activities can be included： revision of the multidimensional database scheme, optimizing of fact tables number, problem of data explosion, testing for correctness of aggregation and summation of data etc.

Organizational Data Management： Proposing a Metadata-Driven Data Warehouse （DW） Model

Discussing the matter of organizational data management implies, almost automatically, the concept of data warehousing as one of the most important parts of decision support system （DSS）, as it supports the integration of information management by aggregating all data formats and provisioning external systems with consistent data content and flows, together with the metadata concept, as one of the easiest ways of integration for software and database systems. Since organizational data management uses the metadata channel for creating a bi-directional flow, when correctly managed, metadata can save both time and resources for organizations. This paperI will focus on providing theoretical aspects of the two concepts, together with a short brief over a proposed model of design for an organizational management tool.

Research on Multidimensional Data Model in Data Warehouse

Data structure and semantics of the traditional data model cannot effectively represent the data warehouse, it is difficult to effectively support online analytical processing （referred to as OLAP）. This paper is propose a new multidimensional data model based on the partial ordering and mapping. The data model can fully express the complex data structure and semantics of data warehouse, and provide an OLAP operation as the core of the operation of algebra, support structure in levels of complex aggregation operation sequence, which can effectively support the application of OLAE The data model supports the concept of aggregation function constraint, and provides constraint mechanism of the hierarchy aggregation function.

A Qualitative Study for Measuring Warehouse Performance Using Triangulation Approach

This research aims to validate a structural equation modeling （SEM） model for measuring warehouse performance using data from an international company in Australia （company G）. Moreover, a methodological triangulation method was also adopted to test whether different methodological approaches produce convergent findings about warehouse performance measurement （WPM）. These three different methods are the SEM model, the multiple case research study, and validation of the SEM model using data from 80 companies in Thailand and a company in Australia. With the results from the triangulation method, it is obvious that the SEM model can be used to measure the performance of warehouses in Thailand and Australia. Since the SEM model consists only of significant indicators, it is more appropriate than company G＇s scorecard. Furthermore, the SEM model can overcome the limitations of traditional models by allowing companies to compare their performance over time.

Task Assignment Problem of Robots in a Smart Warehouse Environment

The task assignment problem of robots in a smart warehouse environment （TARSWE） based on cargo-to-person is investigated. Firstly, the sites of warehouse robots and the order picking tasks are given and the task assignment problem for picking one order is formulated into a mathematical model to minimize the total operation cost. Then a heuristic algorithm is designed to solve the task assignment problem for picking multiple orders. Finally, simulations are done by using the orders data of online bookstore A. The results show that using the heuristic algorithm of this paper to assign robots, the cost was reduced by 2% and it can effectively avoid far route and unbalanced workload of robots. The feasibility and validity of the model and algorithm are verified. The model and algorithm in this paper provide a theoretical basis to solve the TARSWE.