Design and Implementation of Data Management System for Low-Voltage Electrical Performance Test Based on Virtual Instrument Technology

2014 ◽  
Vol 556-562 ◽  
pp. 2145-2148
Author(s):  
Wei Xu ◽  
Yan Hua Zhao ◽  
Ming Yu Liu ◽  
Ming Xing Dai ◽  
Qi Xie ◽  
...  
Keyword(s):  
Data Management ◽  
Test Data ◽  
Virtual Instrument ◽  
Management System ◽  
Performance Test ◽  
Low Voltage ◽  
Electrical Performance ◽  
Data Management System ◽  
Database Technology ◽  
Electrical Apparatus

Low voltage electrical apparatus is the electrical appliances which play the role of on-off, control or protection in the circuit of AC voltage to the 1200V, DC voltage to1500V. The function of it will have a direct impact on the safe and reliable operation of the power system and industrial control system. It is needed to carry out an accurate test on the each function of them before they leave the factory. In order to ensure the accurate of the test data, it is worth studying on how to build a test data management system for low voltage electrical apparatus. Through LabVIEW establish a connection to the Access database technology. An independent data management system is developed.

A Collaborative Data Management System for Additive Manufacturing

2017 ◽  
Author(s):  
Yan Lu ◽  
Paul Witherell ◽  
Alkan Donmez
Keyword(s):  
Additive Manufacturing ◽  
Data Management ◽  
Management System ◽  
Query Language ◽  
Limiting Factors ◽  
Data Management System ◽  
Structure Property ◽  
Structure Property Relationships ◽  
Database Technology ◽  
Process Structure

As additive manufacturing (AM) continues to mature as a production technology, the limiting factors that have hindered its adoption in the past still exist, for example, process repeatability and material availability issues. Overcoming many of these production hurdles requires a further understanding of geometry-process-structure-property relationships for additively manufactured parts. In smaller sample sizes, empirical approaches that seek to harness data have proven to be effective in identifying material process-structure-property relationships. This paper presents a collaborative AM data management system developed at the National Institute of Standards and Technology (NIST). This data management system is built with NoSQL (Not Only Structured Query Language) database technology and provides a Representational State Transfer (REST) interface for application integration. In addition, a web interface is provided for data curating, exploring, and downloading. An AM data schema is provided by NIST for an alpha release, as well as a set of data generated from an interlaboratory study of additively manufactured nickel alloy (IN625) parts. For data exploration, the data management system provides a mechanism for customized web graphic user interfaces configurable through a visualization ontology. As a collaboration platform, the data management system is set to evolve through sharing of both the AM schema and AM development data among the stakeholders in the AM community. As data sets continue to accumulate, it becomes possible to establish new correlations between processes, materials, and parts. The functionality of the data management system is demonstrated through the curation and querying of the curated AM datasets.

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