Wedge - smart process data analysis in real time

被引：0
|
作者：
不详
机构：
来源：
ZKG INTERNATIONAL | 2018年 / 71卷 / 03期
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In cement production, supposedly small problems in the production process can easily lead to high additional costs. A detailed error analysis is often a difficult, costly, and time-consuming procedure. With the Wedge software toolbox it is possible to evaluate all production processes using process data in real time without any additional hardware. Wedge accesses existing databases and analyses both historical and real-time data. The generated results provide information about current and past problem areas and reveal possible trends. As a result, processes can be optimized, and the entire production can be made more efficient.
引用
收藏
页码：50 / 51
页数：2
相关论文
共 50 条
  • [41] Real Time Streaming Analysis of IACT Data
    Bruegge, Kai
    Adam, Jan
    Ahnen, Max
    Baack, Dominik
    Balbo, Matteo
    Bergmann, Matthias
    Biland, Adrian
    Bockermann, Christian
    Buss, Jens
    Blank, Michael
    Bretz, Thomas
    Dmytriiev, Anton
    Dorner, Daniela
    Egorov, Alexey
    Einecke, Sabrina
    Hempfling, Christina
    Hildebrand, Dorothee
    Hughes, Gareth
    Linhoff, Lena
    Mannheim, Karl
    Morik, Katharina
    Mueller, Sebastian A.
    Neise, Dominik
    Neronov, Andrii
    Noethe, Maximilian
    Paravac, Aleksander
    Pauss, Felicitas
    Rhode, Wolfgang
    Ruhe, Tim
    Shukla, Amit
    Temme, Fabian
    Thaele, Julia
    Walter, Roland
    ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XXVI, 2019, 521 : 335 - 338
  • [42] Real time analysis of multichannel data in tokamaks
    Wijnands, T
    Parlange, F
    Couturier, B
    Moulin, D
    NUCLEAR FUSION, 1996, 36 (10) : 1405 - 1423
  • [43] Real-Time Data Quality Analysis
    Iyengar, Arun
    Patel, Dhaval
    Shrivastava, Shrey
    Zhou, Nianjun
    Bhamidipaty, Anuradha
    2020 IEEE SECOND INTERNATIONAL CONFERENCE ON COGNITIVE MACHINE INTELLIGENCE (COGMI 2020), 2020, : 101 - 108
  • [44] On data logging in real-time process control systems
    Kim, J
    Shin, KG
    THIRD INTERNATIONAL WORKSHOP ON REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS, PROCEEDINGS, 1996, : 320 - 326
  • [45] Real-Time Detection of False Data Injection in Smart Grid Networks: An Adaptive CUSUM Method and Analysis
    Huang, Yi
    Tang, Jin
    Cheng, Yu
    Li, Husheng
    Campbell, Kristy A.
    Han, Zhu
    IEEE SYSTEMS JOURNAL, 2016, 10 (02): : 532 - 543
  • [46] Real-time data capture supports process modelling
    Brooks, JW
    MEASUREMENT & CONTROL, 2002, 35 (03): : 69 - 71
  • [47] Real-time process data optimized electricity purchasing
    Roussel, G
    PULP & PAPER-CANADA, 2003, 104 (12) : 16 - +
  • [48] EXPLORING DATA ACQUISITION AND REAL-TIME ANALYSIS ALGORITHMS IN SMART MANUFACTURING WITH A FOCUS ON AUTOMATION AND INSPECTION TECHNOLOGIES
    Chen, Zhenshan
    Zheng, Hanjun
    Lin, Jinyan
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2023, 24 (04): : 1169 - 1176
  • [49] Enabling Smart Agriculture: An IoT-Based Framework for Real-Time Monitoring and Analysis of Agricultural Data
    Oguz, Faruk Enes
    Ekersular, Mahmut Nedim
    Sunnetci, Kubilay Muhammed
    Alkan, Ahmet
    AGRICULTURAL RESEARCH, 2024, 13 (03) : 574 - 585
  • [50] A Novel Method to Compress Real-time Process Data
    Zheng, Xiaojian
    FRONTIERS OF ADVANCED MATERIALS AND ENGINEERING TECHNOLOGY, PTS 1-3, 2012, 430-432 : 1298 - 1301
12345