In view of the remote monitoring demand of tea processing and the lack of tea processing traceability, a remote IoT （Internet of things） monitoring platform for state parameters during tea processing was proposed. It achieved the remote monitoring of both processing line and tea state. A traceability evaluation model of tea processing was established by using B/S framework to show real-time information, combined data of both fresh leaf states and tracing information of processing, and analytic hierarchy process to analyze the effects of production parameters on tea quality. On this basis, the quality evaluation model of tea production offline and online database fusion was constructed to improve the quality of data storage. Finally, the remote monitoring system development and traceability information collection verification test were carried out for the Huangshan Maofeng preliminary processing production line. The results show that the platform is stable, the data display is accurate and complete, and the real-time performance is good, which provides technical support for tea quality optimization and big data analysis.
JIANG Jiandong
,
ZHOU Qian
,
PAN Bosong
,
ZHAO Zhangfeng
,
ZHONG Jiang
,
QIAO Xin
,
ZHANG Xian
. Research and System Design of Tea Processing Remote Cloud Monitoring and Traceability[J]. Journal of Tea Science, 2019
, 39(6)
: 742
-752
.
DOI: 10.13305/j.cnki.jts.2019.06.013
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