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

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.

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, ...

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Problems solved by technology

[0004] In order to achieve the above purpose, the purpose of the embodiment of the present invention is to provide an intelligent monitoring system for the mildew state of stored tobacco leaves based on the Internet of Things, so as to solve the problem of inability to timely and accurately judge tobacco leaf mildew caused by manual detection workload, untimely, and small coverage. change state problem

[0005] Another purpose of the embodiments of the present invention is to provide an intelligent monitoring method for the mildew state of stored tobacco leaves based on the Internet of Things, so as to solve the problems of low detection efficiency, complicated detection process, large errors and existing defects in existing detection methods for the mildew state of stored tobacco leaves. Limitation problem

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