Abstract
Large amounts of data in the ultra-low temperature online monitoring system is needed to monitor and transmit in real time, at the same time. The data collected is usually erroneous because of the characteristics of sensors itself. In order to solve this problem, the data fusion technology is applied to the ultra-low temperature online monitoring system, and erroneous data will be removed through correlation function careless error elimination method based on the fuzzy theory. The reliability and effectiveness of the whole monitoring system is improved. According to the theory above, an ultra-low temperature online monitoring system is designed in this paper. In this paper, the overall structure of the ultra low temperature on-line monitoring system is introduced in detail, the hardware and software design of the system was analyzed, and the whole system was tested. The test results show that the system is stable and reliable with very important market application value.
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Acknowledgements
The authors acknowledge the financial support provided by a Project of Shandong Province Higher Educational Science and Technology Program (Grant No. J16LN75).
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Zhao, M., Liu, P., Cao, A. et al. Design of Ultra-Low Temperature Online Monitoring System Based on Data Fusion Technology. Wireless Pers Commun 103, 481–489 (2018). https://doi.org/10.1007/s11277-018-5455-5
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DOI: https://doi.org/10.1007/s11277-018-5455-5