Outlier Detection in Cold-chain Logistics Temperature Monitoring

Authors

  • Weidong Zhao School of Software, Fudan University
  • Weihui Dai School of Management, Fudan University
  • Shangchen Zhou School of Software, Fudan University

DOI:

https://doi.org/10.5755/j01.eee.19.3.3699

Keywords:

Remote monitoring, radiofrequency identification, temperature sensors

Abstract

In the field of cold chain logistics, the key point is the real time control of temperature. Thus the failure of synchronous temperature monitoring is the bottleneck of cold-chain temperature monitoring. Targeting at the real-time features of synchronous temperature monitoring, this paper discusses some issues about RFID technology applied to outlier detection. Through comparing differing feasible RFID data mining methods, along with the requirements of the cold chain temperature monitoring, we put forward the improved QOD (quick outlier detection) algorithm by clustering based on data stream. After that, we prove that QOD algorithm’s performance can be improved after optimization and compared it with several other related methods in accuracy, memory consumption.

DOI: http://dx.doi.org/10.5755/j01.eee.19.3.3699

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Published

2013-03-07

How to Cite

Zhao, W., Dai, W., & Zhou, S. (2013). Outlier Detection in Cold-chain Logistics Temperature Monitoring. Elektronika Ir Elektrotechnika, 19(3), 65-68. https://doi.org/10.5755/j01.eee.19.3.3699

Issue

Vol. 19 No. 3 (2013)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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