Materials Information Management Systems for Energy Applications

2011 ◽  
Author(s):  
William M. Marsden ◽  
Elizabeth R. Cope
Keyword(s):  
Data Management ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Life Extension ◽  
Data Management System ◽  
Use Case ◽  
Statistical Process ◽  
Technical Requirements ◽  
Wide Range

Materials property data, and broader materials information, are essential to the wide range of people and functions in engineering enterprises involved in the design and construction of power generation facilities. This paper focuses on how this complex and specialist information must be managed, and how it can be deployed most effectively to those who need it. There are many different types of data to be considered, but they all begin as test results of one form or another. Generating this test data represents a major cost for many organizations. Applying it effectively can give them a major competitive advantage — for example, avoiding problems in design, gaining more understanding of the performance of materials, and ultimately reducing maintenance costs or enabling asset life extension. Yet few organizations have in place any systematic system to manage materials data. Not only does this mean that they are not making best use of their investment in this asset, it means that they can actually waste large amounts of time and money, in searching for the right data, or in duplicating tests that have already been done. This paper concentrates on the practical challenges involved, and on the technical details of how these challenges can be solved, drawing on the experience of developing the GRANTA MI materials information management system in collaboration with a consortium of leading aerospace, energy, and defense organizations. Three use-case scenarios are explored in which the management and application of materials data are important. These are: support for engineering design, statistical process control, and materials selection. For each use-case, the technical requirements for any corporate materials data management system are identified. Significant overlaps are found between the requirements for the different areas, indicating that a well-designed system can both meet a broad range of specific needs, and help to integrate different aspects of an organization’s operations. It is then appropriate to discuss the actual software tools required to meet these needs. These include tools to capture and consolidate materials data, to analyze and apply the data, to maintain a corporate materials information resource, and to deploy materials data enterprise-wide to the different functions (e.g., Design, and Quality Assurance) and roles (e.g., design engineers, stress analysts, and process improvement managers) that require it. The paper closes by providing guidelines on best practice regarding implementation of materials data management technology.

The New EventStore Data Management System For The CLEO-c Experiment

2005 ◽  
Vol 20 (16) ◽  
pp. 3868-3870
Author(s):  
Chris Jones ◽  
Valentin Kuznetsov ◽  
Dan Riley ◽  
Gregory Sharp
Keyword(s):  
Data Management ◽  
Management System ◽  
Data Management System ◽  
File Formats ◽  
Wide Range ◽  
Personal Needs

We discuss the new CLEO-c EventStore: a pluggable system that scales from personal needs up to collaboration-wide managed data. Its indexing and versioning features allow physicists to quickly access raw, reconstructed and MC data. It does simple bookkeeping of desired datasets and guarantees the reproducibility of various details of physics analysis. A wide range of physics queries and a variety of file formats are supported.

scholarly journals Data management and processing workflow for the Materials Physics and Engineering group beamlines at the Advanced Photon Source

2019 ◽  
Vol 26 (2) ◽  
pp. 373-381 ◽  
Author(s):  
Jun-Sang Park ◽  
Connor Horn ◽  
Prithvi Ramanathan ◽  
Peter Kenesei ◽  
Siniša Veseli
Keyword(s):  
Experimental Data ◽  
Data Management ◽  
Management System ◽  
Experimental Techniques ◽  
Data Management System ◽  
Wide Range ◽  
Photon Source ◽  
Large User

The ability to store, organize, process and distribute experimental data effectively, efficiently and securely is particularly important for large user facilities like the Advanced Photon Source. In this article, the deployment of the APS Data Management System (DM) at the 1-ID and 6-BM beamlines of the APS is described. These two beamlines support a wide range of experimental techniques and generate data at relatively high rates, making them ideal candidates to illustrate the deployment and customization of the DM system and its tools. Using several usage examples at these beamlines, various capabilities of the DM system are described.

scholarly journals Design of Enterprise Economic Information Management System Based on Big Data Integration Algorithm

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Xiao Liu
Keyword(s):  
Big Data ◽  
Data Management ◽  
Information Management ◽  
Data Storage ◽  
Management System ◽  
Information Management System ◽  
Economic Benefits ◽  
Current Status ◽  
Integration Algorithm ◽  
Economic Information

In economic growth, the gradual increase in the effect of information technology makes the enterprise economic information management increasingly important for the survival and development of the enterprises. This paper designs an enterprise economic information management system for the complex internal economic information management business and process of enterprises. It provides daily office, information access, document preview, and transmission. The proposed design (i) copes with the inconsistency and irregularity of enterprise economic information data, (ii) quickly obtains valuable information from these massive high-frequency data, and (iii) improves the economic benefits of data assets and data management efficiency. The printing function systematizes the information management for departments such as enterprise economic information, personnel, and production. The main focus of this research includes the mode, framework, and function of the whole system software. Moreover, it also comprises of the use of Internet platform big data technology to realize the practicality, stability, and security of the system database algorithm, which has been practically used by enterprises to improve office efficiency and meet the needs of daily management of enterprises. Based on the analysis of the current status of enterprise big data application, this paper constructs an enterprise economic informational management system based on big data and also describes in detail the key technologies of enterprise economic informational data management from three aspects: NoSQL-based big data storage management, Hadoop-based economic informational big data informational and economic informational big data analysis, and mining algorithm. Provide theoretical basis and basic technical support for online decision analysis.

scholarly journals Leveraging the Existing Anesthesia Information Management System to Improve Anesthesia Quality Assurance Outcome Reporting

2021 ◽  
Author(s):  
Benjamin M Kristobak ◽  
Joshua M Jabaut ◽  
Cody F Dickson ◽  
William A Cronin
Keyword(s):  
Quality Assurance ◽  
Information Management ◽  
Management System ◽  
Reporting System ◽  
Information Management System ◽  
Anesthesia Information Management System ◽  
Statistical Process ◽  
Military Health ◽  
Outcome Reporting ◽  
Anesthesia Providers

ABSTRACT Introduction Tracking measures of quality over time has been shown to improve care within institutions and across health systems. Perioperative quality assurance (QA) tracking by anesthesia departments in the Military Health System (MHS) has not used a uniform system integrated into the workflow of anesthesia providers. The purpose of this study was to demonstrate that the use of the embedded QA outcome reporting feature in the anesthesia information management system (AIMS) increased the rate of reporting compared to the current paper reporting system in a military anesthesia department. Materials and Methods An electronic outcome reporting mechanism embedded in the AIMS was activated as an alternative to paper QA outcome reporting. The proportion of anesthesia cases per month in a 12-month period with a reported QA outcome was compared to the previous year in which only the paper reporting system was used. The total number of cases in each time period with an outcome reported was compared using chi square for proportions, and systems were evaluated using the Statistical Process Control methodology. This project was evaluated and determined to be exempt from review by our institutional review board. Results There was a 389.8% increase in the number of cases with a QA outcome reported after the implementation of the outcome reporting function integrated into the AIMS (χ2 = 207.72; P <.001, Table I). Systems before and after the intervention were stable, and special cause variation was noted only at the point of implementation of the electronic reporting system. Anesthesia providers were surveyed and felt that the addition of QA reporting to the AIMS made QA reporting more likely. Conclusions The use of an electronic QA outcome reporting method integrated into the AIMS dramatically increased the likelihood that a QA outcome would be reported. The decreased administrative burden of the integrated outcome reporting system was likely the primary reason for this increase. This study was limited by the fact that it was done in a single institution; however, the size and timing of the increase clearly indicate that the intervention was the reason for improved reporting. Electronic health record upgrades should consider incorporating QA reporting into the AIMS across the MHS. These measures could allow for system-wide improvement, evaluation, and evidence-based education on their own, but also by facilitating participation in the American Society of Anesthesiologists’ Anesthesia Quality Institute’s National Anesthesia Clinical Outcomes Registry. This report serves as a valuable example to institutions and perioperative leaders in the MHS of how to improve the robustness of perioperative QA reporting such that it could be used to validate and improve the value of care.

Integration of Data Management Systems With an Ontology Based Information Management System

2001 ◽  
Author(s):  
T. C. Wijnker ◽  
D. Lutters ◽  
F. J. A. M. van Houten ◽  
H. J. J. Kals
Keyword(s):  
Data Management ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Management Systems ◽  
Manufacturing Processes ◽  
Data Management Systems ◽  
Design And Manufacturing ◽  
Pilot Implementation ◽  
Industrial Company

Abstract In analyzing design and manufacturing tasks and their mutual interactions, it appears that the underlying information of these tasks is of the utmost importance. If this information is managed on an integral level, in a formalized, structured way, it can serve as a basis for the control of design and manufacturing processes. The ontological description that is used for this purpose is elaborated upon. It is indicated how an ontological description of the information content can govern design and manufacturing processes, and support their execution with all required information and functionality of resources. Moreover, it is expound how the ontological description can serve as the basis for integrating information that, in industry, is often dispersedly managed in separate coexisting data management systems. Furthermore, a framework is proposed for the implementation of an Information Management system as well as for the additional applications that utilize its functionality. Finally, a pilot implementation at a large Dutch industrial company is discussed concerning the aspect of integrating dispersedly managed information. This implementation is also compared to some currently available commercial solutions in this area that were tested at the company as well.

scholarly journals Optimization of Land Resource Information Management System Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Taizheng Chen ◽  
Zhun Chen ◽  
Mingjie Tian ◽  
Xi Wang
Keyword(s):  
Information System ◽  
Decision Support ◽  
Resource Management ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Land Resource ◽  
Land Resources ◽  
Resource Information ◽  
Wide Range

The business process model of information management is also optimized, while helping the relevant departments using the system to improve their work efficiency. After research and analysis, this paper shows that the land resource information management system can be divided into four functional modules, which are basic land resource information management, land resource land use approval management, official document information management, and office business management, and these modules can effectively complete the work related to land resource management. The full and reasonable use and protection of land resources can ensure the implementation of sustainable development policies, and the development of land resource management is the basic requirement of national modernization and the inevitable trend in the country, and because land resource management covers a large amount of information involving a wide range of information, including information within the scope of work, it is very necessary to ensure the effectiveness and accuracy of land resources and information. The information system can effectively improve the efficiency and accuracy of land resources and information. Information system can effectively improve the development, management, research, and use of land resources; electronic government system can help land resources to obtain accurate analysis and research and detailed access to the ability to understand the status of resources, in the daily changing data information dynamic understanding of the development of information changes, and grasp the latest trends in land resources, the trend of analysis, and monitoring of market resources, to provide customers with reliable decision support. It is a powerful background data guarantee for customers to provide reliable decision support.

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