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  4. Vol 8, Issue 1, 2024

Research on Communication Quality Monitoring System Driven by Big Data in C/S Architecture

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DOI: 10.23977/cpcs.2024.080111 | Downloads: 31 | Views: 757

Author(s)

Yiru Zhang 1

Affiliation(s)

1 Consumer Electronics Technology, Amazon, New York, NY 10044, USA

Corresponding Author

Yiru Zhang

ABSTRACT

This article delves into the communication quality monitoring system driven by big data under the C/S (client/server) architecture, aiming to provide a comprehensive, real-time, and efficient security monitoring solution for factory production and manufacturing environments. The system integrates LoRa wireless communication technology, big data processing and analysis technology, and innovative dynamic expansion algorithms to achieve real-time monitoring and rapid response to various safety hazards in the production environment. The core of the system lies in the construction of LoRa wireless communication network, which adopts an innovative umbrella shaped network structure to ensure stable and fast transmission of sensor monitoring data to the server. By using the STM32 development board with LoRa module, dynamic expansion of hardware integration modules has been achieved, enhancing the flexibility and scalability of the system. At the level of data transmission and processing, introducing Kafka distributed message queue as a data cache effectively alleviates the pressure of processing massive real-time data. Combining the Spark Streaming streaming data processing framework, a distributed data processing model was constructed to achieve real-time consumption and efficient parallel processing of messages in Kafka queues. At the same time, the designed dynamic extension algorithm model can automatically persist the data of new monitoring points, ensuring the system's rapid adaptation to data changes. In terms of data storage and visualization, a data persistence layer architecture for a big data platform has been constructed. Real time data, historical data, and log data are stored separately in Redis, MySQL, and HDFS systems through a data streaming model, improving data storage efficiency and system performance. Based on Tomcat network server and SSM architecture, a B/S structured web server visualization platform has been developed, which supports users to remotely query the security status of the production environment through computer or mobile browser, and receive alarm notifications in case of abnormalities. The system integration test results show that the communication quality monitoring system performs excellently in wireless communication quality, data processing speed, data storage efficiency, and data visualization, and can meet the complex monitoring needs of factory production and manufacturing environments, providing solid technical support for enterprise safety production. However, there is still room for improvement in real-time data collection loss rate, alarm function completeness, and mobile access experience. Future research will focus on optimizing data transmission software models, adding multi-channel alarm functions, and developing mobile apps to enhance user experience.

KEYWORDS

LoRa wireless communication, big data processing, dynamic expansion, real-time monitoring, visualization platform

CITE THIS PAPER

Yiru Zhang, Research on Communication Quality Monitoring System Driven by Big Data in C/S Architecture. Computing, Performance and Communication Systems (2024) Vol. 8: 92-98. DOI: http://dx.doi.org/10.23977/cpcs.2024.080111.

REFERENCES

[1] Duan J .Analysis on Telemarketing Access System Based on C/S Architecture and Data Mining[C]//International Conference on Computing Methodologies and Communication. IEEE, 2021.DOI:10.1109/ICCMC51019.2021.9418482.
[2] Patent Issued for Policy-based topic-level encryption for message queues (USPTO 11228571)[J].Electronics Newsweekly, 2022(Feb.8).
[3] Gao F , Dong J , Yin M ,et al. Implementation and Application of Wireless Node Device AD Hoc Network Technology Based on LoRa Communication[J].2023 8th Asia Conference on Power and Electrical Engineering (ACPEE), 2023:1503-1508.DOI:10.1109/ACPEE56931.2023.10135768.
[4] Li J, Zhang Y. Performance Bug Analysis and Detection for Distributed Storage and Computing Systems[J].ACM Transactions on Storage, 2023, 19(3).
[5] Chen, H., Yang, Y., & Shao, C. (2021). Multi-task learning for data-efficient spatiotemporal modeling of tool surface progression in ultrasonic metal welding. Journal of Manufacturing Systems, 58, 306-315.
[6] Zhang F , Sun G , Zheng B ,et al.Design and Implementation of Energy Management System Based on Spring Boot Framework[J]. Information, 2021.DOI:10.3390/info12110457.
[7] Liu Y .Design and Implementation of Network Structure Visualization System Based on B/S Architecture[J]. Proceedings of the 10th International Conference on Communications and Broadband Networking, 2022.DOI: 10. 1145/ 3538806.3538813.
[8] Diego Veloz Chérrez, Valencia G , Sulca F J S ,et al. Performance Evaluation Of The Security Level Of Oauth 2.0 In The Implementation Of Authorization Systems For Access To Web Resources On Cloud-Based Platforms[J].Russian Law Journal, 2023.DOI:10.52783/rlj.v11i3.1050.

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