Intelligent tobacco leaf baking collection system based on Internet of Things

Abstract

The invention discloses an intelligent tobacco leaf curing and collecting system based on the Internet of Things. The system is mainly applied to a bulk curing barn and belongs to the technical field of tobacco leaf baking. The collection system comprises a cloud server, a baking state sensing and collecting module and an intelligent collector. The intelligent collector transmits baking data collected by the baking state sensing and collecting module to the cloud server side in real time by using an MQTT protocol; the data is processed by a correction model of the cloud server side, then analog simulation is carried out by a simulation model, and process correction parameters are generated and transmitted to the intelligent collector; and the intelligent collector converts the process correction parameters into instructions and transmits the instructions to a controller. Since the hysteresis of real-time communication and data processing is high due to the fact that a network is unstable, final quality of tobacco leaves may be reduced and even the tobacco leaves are damaged during baking. With the intelligent tobacco leaf baking collection system based on the Internet of Things adopted, the above problem can be solved. And meanwhile, the system can be compatible with widely applied controllers, is high in function expansibility, low in layout cost and easy to popularize and landing, and improves 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 tobacco leaf production process, which determines the final quality of tobacco leaves. The dynamic changes of the environment during the tobacco leaf curing process are closely related to the physiological and biochemical changes of the tobacco leaves. The degree of yellowing and dehydration of the tobacco leaves are important observation indicators for judging the completion of the current stage of tobacco leaf curing. The temperature, humidity and stage time of the curing environment It is an important factor affecting the final quality of tobacco leaves. [0003] The currently widely used method of tobacco leaf curing production is to use dense curing rooms 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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