Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Comparison and analysis of compression algorithms to improve transmission efficiency of manufacturing data

제조 현장 데이터 전송효율 향상을 위한 압축 알고리즘 비교 및 분석

  • Lee, Min Jeong (Department of Computer Engineering, Kyungnam University) ;
  • Oh, Sung Bhin (Department of Computer Engineering, Kyungnam University) ;
  • Kim, Jin Ho (Department of Computer Engineering, Kyungnam University)
  • Received : 2021.09.02
  • Accepted : 2021.11.27
  • Published : 2022.01.31
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Abstract

As a large amount of data generated by sensors or devices at the manufacturing site is transmitted to the server or client, problems arise in network processing time delay and storage resource cost increase. To solve this problem, considering the manufacturing site, where real-time responsiveness and non-disruptive processes are essential, QRC (Quotient Remainder Compression) and BL_beta compression algorithms that enable real-time and lossless compression were applied to actual manufacturing site sensor data for the first time. As a result of the experiment, BL_beta had a higher compression rate than QRC. As a result of experimenting with the same data by slightly adjusting the data size of QRC, the compression rate of the QRC algorithm with the adjusted data size was 35.48% and 20.3% higher than the existing QRC and BL_beta compression algorithms.

제조 현장의 센서나 기기들에서 생성된 대량의 데이터들이 서버나 클라이언트로 전송되면서 네트워크 처리시간 지연, 스토리지 자원 비용 증가의 문제가 발생한다. 이러한 문제 해결을 위해 실시간 대응성과 무중단 공정이 필수인 제조 현장을 고려하여 실시간 및 무손실 압축이 가능한 QRC(Quotient Remainder Compression)와 BL_beta 압축 알고리즘을 처음으로 실제 제조 현장 센서 데이터에 적용하여 실험 결과로 두 알고리즘 중 어떤 알고리즘이 성능이 좋은지 비교 분석하였다. 실험 결과는 BL_beta가 QRC보다 압축률이 높았다. QRC의 데이터 크기를 조금 조정하여 동일한 데이터로 실험을 진행한 실험결과는 데이터 크기를 조정한 QRC 알고리즘이 기존 QRC와 BL_beta 압축 알고리즘보다 압축률이 35.48%, 20.3% 더 높았다.

Keywords

Acknowledgement

This work was supported by the Korea Research Foundation with funding from the government (Ministry of Science and ICT) (No. 2020RIG1A1015210) and "Regional Innovation Strategy (RIS)" through the National Research Foundation of Korea(NRF) funded by Ministry of Education (MOE) (2021RIS-003).

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