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Keywords: Adaptive control system, linters, cotton processing, efficiency, quality
improvement, textile industry
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| bet | 553/693 | | Sana | 13.05.2024 | | Hajmi | 15,56 Mb. | | #228860 |
Bog'liq ТўпламKeywords: Adaptive control system, linters, cotton processing, efficiency, quality
improvement, textile industry.
Introduction:The cotton processing industry relies on the efficient separation of cotton
fibers from seeds to produce various textile products, such as cottonseed oil, animal feed, and
most importantly, linters. Linters are short cotton fibers used in the manufacture of various
products, including paper, medical supplies, and cosmetics. Ensuring the quality and efficiency of
linter production is of paramount importance for cotton processing enterprises.
Traditionally, linter separation processes have been controlled by manual and semi-
automated systems that are often labor-intensive and prone to variability. In response to the
need for improved quality and efficiency, an adaptive control system has been developed to
address the challenges faced by cotton processing enterprises in managing linters.
Development of the Adaptive Control System.The adaptive control system for linters in
cotton processing enterprises is built on advanced technologies, including sensors, data analysis
algorithms, and automation. It employs real-time monitoring and feedback to adjust processing
parameters, ensuring consistent and high-quality linter production. The key components of the
system include:
1. Sensors and Data Collection:Advanced sensors are placed at critical points in the linter
separation process to continuously monitor factors such as moisture content, seed impurities,
and fiber quality.
2. Data Analysis and Machine Learning: Collected data is processed using machine learning
algorithms that adapt to changing conditions and make informed decisions. This allows the
system to optimize settings for the best linter separation results.
3. Automation and Control: The system communicates with processing machinery to make
real-time adjustments in response to the data analysis, maintaining a controlled and efficient
process.
4. Quality Assurance:The system also incorporates quality control checks, rejecting any
linters that do not meet predetermined quality standards.
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