Paper
29 March 2023 Design and implementation of web log analysis system under the industrial Internet background
Nana Xie
Author Affiliations +
Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 1259419 (2023) https://doi.org/10.1117/12.2671745
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China
Abstract
Under the background of the booming industrial Internet, data acquisition and real-time calculation of industrial equipment have become the key issues of many industrial manufacturing enterprises. Therefore, this paper studies the design and implementation of web log analysis system. In this paper, a real-time industrial equipment big data acquisition and calculation system based on SparkStreaming, HBase and Hive is constructed. On the equipment big data acquisition technology, k-means algorithm in data mining technology is used to classify and integrate the data. Based on Spark framework, the parallel calculation of K-means algorithm is realized, which solves the problem of low efficiency of industrial big data analysis. Experiments show that the development of this system can effectively improve the efficiency of collecting and analyzing big data logs of industrial equipment, and further improve the timeliness and expansibility of transmission.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nana Xie "Design and implementation of web log analysis system under the industrial Internet background", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 1259419 (29 March 2023); https://doi.org/10.1117/12.2671745
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data acquisition

Data processing

Data storage

Databases

Design and modelling

Analytical research

Industrial applications

Back to Top