Tobacco leaf intelligent baking dynamic management method

Abstract

The invention relates to an intelligent tobacco leaf curing dynamic management method. The method comprises the following steps: S1, establishing a tobacco leaf curing curve big data model library; s2, determining a baking curve; s3, data in the baking process are monitored and analyzed in real time; and S4, baking curve optimization. An optimal baking process curve is pushed through big data analysis according to information such as region, altitude, climate, variety, part and maturity of tobacco leaves in a baking room, data in the baking process are monitored and analyzed in real time, the curve can be continuously optimized and the curve accuracy can be continuously improved through an evaluation feedback system of the system, and the quality of the baked tobacco leaves is higher; and alarm reasons and solutions can be pushed according to the monitored data, so that real-time remote monitoring of the data is realized, an alarm can be immediately given when the baking is abnormal, and the loss rate of the tobacco leaves is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of tobacco leaf curing preparation, and in particular relates to a dynamic management method for intelligent curing of tobacco leaves based on big data of the Internet of Things. Background technique [0002] Tobacco leaf curing is the most important link in flue-cured tobacco production, and it is also the link with the most technical difficulty and technical management. It reflects the ultimate benefit of flue-cured tobacco production. Doing a good job in the technical management of flue-cured tobacco is an important part of realizing the healthy, sustainable and stable development of flue-cured tobacco production and the tobacco industry. The current tobacco leaf curing adjusts and controls the temperature and humidity, ventilation and curing time of the curing room through artificial monitoring, so as to optimize and fix the unique color, aroma and taste of tobacco leaves. However, the existing baking m...

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Problems solved by technology

[0004] For example, the Chinese invention patent "Intelligent Tobacco Leaf Curing and Acquisition System Based on the Internet of Things", publication number CN112914141A, is mainly used in dense curing rooms. The collector transmits the baking data collected by the baking state sensing acquisition module to the cloud server in real time through the MQTT protocol, processes the data through the correction model of the cloud server, and then performs simulation by the simulation model to generate process correction parameters transmitted to the intelligent collector, and then the intelligent collector converts the process correction parameters into instructions and transmits them to the controller. decline, or even bad tobacco; although it discloses an information system platform using the Internet of Things for tobacco leaf curing data collection, as described above, it only discloses an Internet of Things tool for tobacco leaf curing, but How to use this intelligent system scientifically is still in the process of exploration, because tobacco leaves, as a naturally mature crop, are affected by various conditions such as region, altitude, climate, variety, part, maturity, etc. before baking. There will be differences in tobacco leaves in different places. Although the information system of tobacco leaf curing data collection through the Internet of Things can effectively collect tobacco leaf information, how to realize intelligent tobacco leaf curing based on these information is the most important problem at present. After acquiring the tool, how to use it efficiently and scientifically, so that the tobacco leaves after intelligent curing can also meet the tobacco leaf curing standards, that is, to liberate tobacco leaf curing from traditional manual experience adjustments, and build a set of tools suitable for the Internet of Things platform Tobacco leaf curing model or scheme

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