Zobrazeno 1 - 10
of 2 673
pro vyhledávání: '"industrial process"'
Publikováno v:
ESPOCH Congresses, Vol 3, Iss 4, Pp 130-145 (2024)
Abstract Industry 4.0 has revolutionized the way industrial processes are managed, introducing concepts such as advanced automation, the Internet of Things (IoT), and machine learning into production and process management. This article presents the
Externí odkaz:
https://doaj.org/article/5e68b04cec534771b852b43b705955fa
Autor:
Wen Chen, Chenghao Wei, Lu Sun, Huijuan Dong, Yasuaki Hijioka, Kenichi Nakajima, Minoru Fujii
Publikováno v:
Cleaner and Responsible Consumption, Vol 15, Iss , Pp 100244- (2024)
A substantial body of systematic literature reviews has focused on the topic of industrial decarbonization. However, the decarbonization of industrial heating systems has been hampered by the continued reliance on fossil fuels for industrial heating.
Externí odkaz:
https://doaj.org/article/c18539729a23417ea912512067e9bc5d
Publikováno v:
Intelligent Systems with Applications, Vol 24, Iss , Pp 200438- (2024)
This study presents implementing and evaluating a computer vision platform to optimize warehouse inventory management. Integrating machine learning and computer vision technologies, this solution addresses critical challenges in inventory accuracy an
Externí odkaz:
https://doaj.org/article/0399e0ae6ca645e8a2484e1dc29f4366
Autor:
Francisco Cabello, Javier Baigorri, Fritz Zaversky, Markus Haider, Franz Winter, Andreas Werner
Publikováno v:
SolarPACES Conference Proceedings, Vol 2 (2024)
The industrial sector is a significant energy consumer, primarily reliant on fossil fuels. Nevertheless, the potential of Concentrated Solar Power (CSP) technologies for decarbonizing the industry is promising and the challenges posed by variability
Externí odkaz:
https://doaj.org/article/917f77adcaf74015a3eae54d67d962b1
Publikováno v:
SolarPACES Conference Proceedings, Vol 2 (2024)
Concentrating solar thermal (CST) power towers can provide high flux concentrations at commercial scale. As a result, CST towers exhibit potential for high-temperature solar industrial process heat (SIPH) applications. However, at higher operating te
Externí odkaz:
https://doaj.org/article/bc024f43426241d2809c88381b7ec4d1
Research on carbon reduction transformation in industrial processes based on carbon handprint method
Publikováno v:
Zhejiang dianli, Vol 43, Iss 3, Pp 122-129 (2024)
To address the ambiguity surrounding methods and standards for reducing carbon emissions in industrial processes， it is essential to quantitatively assess the impact of carbon emissions and formulate a scientifically grounded carbon reduction plan.
Externí odkaz:
https://doaj.org/article/877c28d87eb64fe68b3a72bb0828cc77
Publikováno v:
IEEE Access, Vol 12, Pp 165626-165652 (2024)
Alarm flood management is essential for industrial process plant safety and efficiency. Online “alarm flood classification” (AFC) assigns an observed sequence of alarms to one (of many) alarm flood classes known from the past. Nevertheless, accur
Externí odkaz:
https://doaj.org/article/0ddec154ade64ea6b34523f77a990cb5
Autor:
Katarina Jakovljevic, Thor Aarhaug, Heiko Gaertner, Kamilla Arnesen, Ida Kero, Gabriella Tranell
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102687- (2024)
This work is dedicated to developing a laboratory method for assessing emissions of polycyclic aromatic hydrocarbons (PAHs) from different carbon-based materials at elevated temperatures. The method will additionally contribute to enhancing the funda
Externí odkaz:
https://doaj.org/article/ecddcb182b5149369a28b7e87ae73e9d
Publikováno v:
SeeNews Research & Profiles (Company Profiles). 2013, p11569-11573. 5p.
Publikováno v:
Journal of Innovations in Business and Industry, Vol 1, Iss 3, Pp 117-124 (2023)
Process capability indices are utilized extensively in the quality control inspection process, both at the level of production and for general business operations. They take into consideration both the location and the deviation from the specified li
Externí odkaz:
https://doaj.org/article/9c6210f3e66d4e8799e32b52e66f2d44