Data Quality Test Method for Factory Energy Management System

Because data is an important factor in the software industry, how to reliably test data is important. This is even more essential for building Industry 4.0 and smart industrial complexes. This study prepares ISO/IEC 25024-based test methods and guidelines and uses them for energy management at the i...

Full description

Saved in:
Bibliographic Details
Published inWebology Vol. 19; no. 1; pp. 4420 - 4427
Main Authors Ju, Seung-Hwan, Seo, Hee-Suk
Format Journal Article
LanguageEnglish
Published Tehran Dr. Alireza Noruzi, University of Tehran, Department of Library and Information Science 20.01.2022
Subjects
Accuracy
Cost control
Efficiency
Energy management
Factories
Internet of Things
Interoperability
Product quality
Quality management
Quality standards
Renewable resources
Semantics
Software industry
Software quality
Standardization
Tariffs
Test methods
Testing laboratories
Usability
Use statistics
Online AccessGet full text

Cover

More Information
Summary:Because data is an important factor in the software industry, how to reliably test data is important. This is even more essential for building Industry 4.0 and smart industrial complexes. This study prepares ISO/IEC 25024-based test methods and guidelines and uses them for energy management at the industrial complex level. In order to provide services by collecting energy data from industrial complexes, it is necessary to verify data quality based on data reliability and compatibility of each plant. Data quality technology needs to conform to ISO TC184/SC4/WG13 (industrial data quality standard) based technology. The study defines the data quality evaluation matrix for the energy management system of industrial parks and factories. It defines five categories and maps detailed indicators to each. The category has three detailed items, which are evaluation items for core requirements, interoperability, and conformity to standards. Each data requirement category covers functionality and reliability, usability and efficiency, and portability as data requirements in the system. Core requirements for system operation such as data consistency are basic evaluation items, and interoperability, which is the semantic compatibility of data for integrated operation of multiple sites, is verified. In addition, data quality is evaluated by verifying standard conformance. Through this evaluation system, the requirements for linking the factory energy management system data with the industrial complex energy management system can be evaluated. This can be used to monitor data quality and develop improvement technologies by developing a master data quality management technology standard suitable for industrial sites.
ISSN:1735-188X
1735-188X
DOI:10.14704/WEB/V19I1/WEB19291