The Design and Implementation of Leveling Model and Data Analysis System of Eleven Roller Leveler

2010 ◽  
Vol 145 ◽  
pp. 443-448 ◽  
Author(s):  
Ying Hu ◽  
Xiao Hong Hao ◽  
Qing Xue Huang ◽  
Qiu Shu Wang ◽  
Shao Zhen Jin ◽  
...  
Keyword(s):  
Process Control ◽  
Data Management ◽  
Management System ◽  
Process Model ◽  
Data Management System ◽  
Automatic Process ◽  
Time Data ◽  
Automatic Process Control ◽  
Analysis System ◽  
Data Analysis System

For establishing an automatic process control and management system of leveler, we need to combine the software of the automatic process control and the software of real-time data management system. This article introduces something about the Leveling automatic process model, which include software’s structure, configuration, working principle and achievement. What's more, this system achieved the data management of leveling process and introduced the system configuration, functional structure. The whole system has been applied in multiple leveler and obtained good results, improving the system automation and straightening accuracy.

Furnace Data Management System Based on WinCC User Archive

2013 ◽  
Vol 712-715 ◽  
pp. 2631-2634
Author(s):  
Dan Shao ◽  
Hai Tao Liu ◽  
Hong Yu Chen
Keyword(s):  
Data Management ◽  
Production Process ◽  
Management System ◽  
Production Efficiency ◽  
Data Management System ◽  
Industrial Furnace ◽  
Monitoring And Control ◽  
Time Data ◽  
Process Data ◽  
Production Quality Control

In order to solve the problems of failing to record, query, count and manage the production process data caused by the domestic industrial furnace industry configuration interface only focusing on the real-time data and status monitoring and control of the input parameters, this paper introduces an industrial furnace data management system based on WinCC user archive, and describes the systems principle, process and characteristics applications. This paper makes use of an industrial furnace data management system based on WinCC user archive to record the production process data, and query, count, manage and obtain the temperature curve, and help to improve production efficiency and production quality control, which have some promotional value.

scholarly journals Supporting Robotic Activities in Informationally Structured Environment with Distributed Sensors and RFID Tags

2009 ◽  
Vol 21 (4) ◽  
pp. 453-459 ◽  
Author(s):  
Kouji Murakami ◽  
◽  
Tsutomu Hasegawa ◽  
Ryo Kurazume ◽  
Yoshihiko Kimuro ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Function Analysis ◽  
Human Life ◽  
Sensor Data ◽  
Data Management System ◽  
Rfid Tags ◽  
Time Data ◽  
Distributed Sensors ◽  
Using Data

This paper describes a platform of ambient intelligence for robots working in an ordinary environment for daily human life. To enable autonomous robotic activity, vision sensors and RFID tags are distributed in the environment and are connected to a network. Sensor data is integrated and is provided to robots to support their activities. Based on sensor function analysis and robot data requirements, we designed and implemented a data management system which integrates real-time data from sensors and robots. Experiments confirmed that robots made decisions and completed tasks successfully using data provided by the data management system.

scholarly journals APS Data Management System

2018 ◽  
Vol 25 (5) ◽  
pp. 1574-1580 ◽  
Author(s):  
Siniša Veseli ◽  
Nicholas Schwarz ◽  
Collin Schmitz
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Management System ◽  
Data Transfer ◽  
Data Management System ◽  
Time Data ◽  
Data Rates ◽  
User Access ◽  
Access To Data ◽  
Real Time Data Processing

As the capabilities of modern X-ray detectors and acquisition technologies increase, so do the data rates and volumes produced at synchrotron beamlines. This brings into focus a number of challenges related to managing data at such facilities, including data transfer, near real-time data processing, automated processing pipelines, data storage, handling metadata and remote user access to data. The Advanced Photon Source Data Management System software is designed to help beamlines deal with these issues. This paper presents the system architecture and describes its components and functionality; the system's current usage is discussed, examples of its use have been provided and future development plans are outlined.

Data management system development for on-line data acquisition and process control

1992 ◽  
Vol 23 (1-4) ◽  
pp. 341-344 ◽  
Author(s):  
O. Geoffrey Okogbaa ◽  
Jiansheng Huang ◽  
Chiwei Chen ◽  
Tom Borkes ◽  
James Moore
Keyword(s):  
Process Control ◽  
Data Acquisition ◽  
Data Management ◽  
Management System ◽  
System Development ◽  
Data Management System ◽  
On Line

Borehole Data Management System: a web interface for borehole data acquisition

2020 ◽  
Author(s):  
Massimiliano Cannata ◽  
Milan Antonovic ◽  
Nils Oesterling ◽  
Sabine Brodhag
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
Web Application ◽  
Data Management System ◽  
Data Types ◽  
Time Data ◽  
Borehole Data ◽  
Geological Conditions ◽  
Combining Data

<p>The shallow underground is of primary importance in governing and planning the territories where we live. In fact, the uppermost 500 meters below the ground surface are interested by a growing number of anthropic activities like constructions, extraction of drinking water, mineral resources, installation of geothermal probes, etc. Borehole data are therefore essential as they reveal at specific location the vertical sequence of geological layers which in turns can provide an understanding of the geological conditions we can expect in the shallow underground. Unfortunately, data are rarely available in a <em>FAIR way</em> that as the acronym specify are Findable, Accessible, Interoperable and Reusable.</p><p>Most of the time data, particularly those collected in the past, are in the form of <strong>static data reports</strong> that describe the stratigraphy and the related characteristics; these data types are generally available as paper documents, or static files like .pdf of images (.ai). While very informative, these documents are not searchable, not interoperable nor easily reusable, since they require a non negligible time for data integration. Sometime, <strong>data are archived into database</strong>. This certainly improve the find-ability of the data and its accessibility but still do not address the interoperability requirement and therefore, combining data from different sources remain a problematic task. To enable FAIR borehole data and facilitate the different entities (public or private) management swisstopo (www.swisstopo.ch) has funded the development of a Web application named Borehole Data Management System (BDMS) [1] that adopt the <strong>borehole data model</strong> () [2] implemented by the Swiss Geological Survey.</p><p>Among the benefits of adopting a standard model we can identify:</p><ul><li>Enhance the exchange, the usage and quality of the data</li> <li>Reach data harmonization (level of detail, precise definitions, relationships and dependencies among the data),</li> <li>Establish a common language between stakeholders</li> </ul><p>The Borehole Data Management System (BDMS)  was developed using the latest Free and Open Source Technologies. The new application integrates some of the today’s best OSGeo projects and is available as a modular open source solution on GitHub and ready to use in a docker container available on Docker Hub. Through two types of authorization, <em>Explorer </em>users are able to search the BDMS for specific boreholes, navigate a configurable user friendly map, apply filters, explore the stratigraphy layers of each borehole and export all the data in Shapefiles, CSV or PDF. <em>Editors</em> are able to manage in details the informations and publish the results after passing a validation process.</p><p> </p><p>Links</p><p>[1] http://geoservice.ist.supsi.ch/docs/bdms/index.html</p><p>[2] https://www.geologieportal.ch/en/knowledge/lookup/data-models/borehole-data-model.html </p>

Risk Management on Information Security in ABC Company

2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Data Management ◽  
Management System ◽  
Risk Mitigation ◽  
Data Management System ◽  
Data Centre ◽  
Long Time ◽  
Mitigation Action ◽  
Better Than

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.

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