Self-corrected flue-cured tobacco processing monitoring system

Abstract

The invention provides a self-corrected flue-cured tobacco processing monitoring system, wherein more than ten user host computers form a user set. Each user host computer is connected with a temperature sensor, a humidity sensor, an air amount detector and an odor sensor and receives data of the temperature sensor, the humidity sensor, the air amount detector and the odor sensor. Furthermore the temperature sensor, the humidity sensor, the air amount detector and the odor sensor are mounted in tobacco flue-curing equipment. According to the self-corrected flue-cured tobacco processing monitoring system, through self-organized and self-corrected setting of the user host computers, the system automatically establishes a fault determining model and utilizes the fault determining model in the use process of the tobacco flue-curing equipment, thereby settling a problem of overhigh workload. Selection for different optimal determining models for different sets of equipment can be automatically performed without large amount of calculation by a specialized person or machine. The self-corrected flue-cured tobacco processing monitoring system furthermore has advantages of approximately no threshold in user operation, and excellent market prospect.

Description

technical field [0001] The invention relates to a self-correcting flue-cured tobacco leaf processing monitoring system. Background technique [0002] In the existing technology, based on the development of sensor technology, for the monitoring of flue-cured tobacco leaves, users can observe a number of parameters to assist in judging the situation. However, in actual operation, this requires users to have sufficient understanding of the parameters, which makes the operation threshold high. , but in reality, most of the people who use this technology have a low level of education and poor learning ability. Almost only scientific researchers and a very small number of studious people can learn and read many parameters well, which makes it possible to optimize the processing of flue-cured tobacco leaves by interpreting multiple parameters. The way to actually promote a large number of applications. [0003] In recent years, based on the rise of machine learning algorithms, the...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above technical problems, the present invention provides a self-correcting flue-cured tobacco leaf processing monitoring system. The self-correcting flue-cured tobacco leaf processing monitoring system can make the system automatically establish faults during the use of the equipment through the self-organization and self-correction settings of the user host. Identify the model and apply it, thus solving the above-mentioned problem of excessive workload

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