Intelligent Tobacco Leaf Curing Collection System Based on Internet of Things

Abstract

The invention discloses an intelligent tobacco leaf curing collection system based on the Internet of Things, which is mainly used in intensive curing rooms, and relates to the technical field of tobacco leaf curing. The acquisition system includes a cloud server, a baking state sensing acquisition module and an intelligent collector. The intelligent collector transmits the baking data collected by the baking state sensing acquisition module to the cloud server in real time using the MQTT protocol, processes the data through the correction model of the cloud server, and then simulates the simulation model to generate a process correction The parameters are transmitted to the intelligent collector, and the intelligent collector converts the process correction parameters into instructions and transmits them to the controller. In addition, the present invention also solves the problems of high hysteresis of real-time communication and data processing caused by network instability and other problems, resulting in the decline of the final quality of tobacco leaves, and even the problems of badly cured tobacco. At the same time, it can be compatible with controllers that have been widely used, with strong functional scalability, low installation cost, easy promotion and implementation, and improve the overall economic benefits of the tobacco industry.

Description

technical field [0001] The invention relates to the technical field of tobacco leaf curing, in particular to an intelligent tobacco leaf curing collection system based on the Internet of Things. Background technique [0002] Tobacco leaf curing is the most important link in the production process of tobacco leaves, which determines the final quality of tobacco leaves. The dynamic changes of the environment during the curing process of tobacco leaves are closely related to the physiological and biochemical changes of tobacco leaves. The degree of yellowing and water loss of tobacco leaves are important observation indicators for judging the completion of the current curing stage of tobacco leaves. The temperature, humidity and stage time of the curing environment It is an important factor affecting the final quality of tobacco leaves. [0003] At present, the widely used tobacco curing production method is to use intensive curing oven for curing. The actual data collected i...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an intelligent tobacco leaf curing and collection system based on the Internet of Things to solve the real-time communication and high data processing hysteresis caused by problems such as network instability in the prior art, resulting in a decline in the final quality of tobacco leaves, and even At the same time, it can be compatible with the controllers that have been widely used, with strong function expansion, low layout cost, easy promotion and implementation, and improve the overall economic benefits of the tobacco industry

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