Intelligent monitoring system and method for mildew status of storage tobacco leaves based on internet of things

A technology of intelligent monitoring and Internet of Things, applied in the field of early warning system and intelligent monitoring of the mildew state of stored tobacco leaves, can solve the problems of small coverage, complex detection process, low detection efficiency, etc., to avoid unnecessary losses, improve detection accuracy, Accurate detection results
CN110631640APending Publication Date: 2019-12-31YUNNAN NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN Ā· China
Patent Type
Applications(China)
Current Assignee / Owner
YUNNAN NORMAL UNIV
Publication Date
2019-12-31

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Abstract

The invention discloses an intelligent monitoring system and a method for mildew status of the storage tobacco leaves based on the internet of things, which includes a monitoring center data server. The environmental information parameters of tobacco leaves storage space collected by multiple data acquisition terminals are received by the monitoring center data server through a relay device, and the mildew state of tobacco leaves in the tobacco leaves storage space is intelligently identified through a tobacco leaves status recognition model based on the BP neural network algorithm, and finally the mildew state of tobacco leaves is output. The relay device is a hand-held relay device, one end of the relay device wirelessly communicates with multiple data acquisition terminals, and the other end wirelessly communicates with the monitoring center data server. At least three data acquisition terminals are placed inside each standard tobacco leaves stack, and the data acquisition terminalsare evenly placed in the plane one third of the height from the bottom of the tobacco leaves stack. The invention solves the problem that the mildew state of tobacco leaves can not be accurately determined in time due to the heavy manual detection workload, untimely and small coverage.
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Description

technical field

[0001] The invention belongs to the technical field of tobacco leaf storage monitoring, and relates to an intelligent monitoring and early warning system and method for mildew state of stored tobacco leaves based on the Internet of Things. Background technique

[0002] Tobacco leaves need to go through a certain period of storage and aging process after re-curing. The storage of tobacco leaves has the characteristics of large storage volume and high storage density. In the process, if the temperature and humidity of the warehouse are not properly controlled, the tobacco leaves are prone to mildew and cause huge economic losses. The traditional mildew detection method mainly relies on the manual use of pin-type temperature and humidity sensors to measure the internal temperature of the cigarette package and record it manually, and then judge the state of the tobacco leaves based on experience. In addition, in the research of tobacco mildew detection methods, ...

Claims

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