Coal ash content on-line detection system based on deep learning and detection method thereof

A deep learning and detection system technology, applied in neural learning methods, instruments, biological neural network models, etc., to achieve the effects of low operating costs, improved generalizability, and improved model accuracy
CN113191452AActive Publication Date: 2021-07-30CHINA UNIV OF MINING & TECH (BEIJING)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNIV OF MINING & TECH (BEIJING)
Publication Date
2021-07-30

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Abstract

The invention discloses a coal ash content on-line detection system based on deep learning and a detection method thereof, the system comprises a classification model and a regression model, the models are deployed to an embedded device after being trained, and distributed deployment of a coal ash content on-line detection function is realized; and real-time detection of the ash content is completed by a matched hardware image acquisition system. The on-line detection method comprises the following steps: acquiring a coal microscopic image and corresponding ash content through an image acquisition device, establishing a coal microscopic image database, constructing a feature extraction network based on a deep learning method to perform automatic feature extraction on the coal ash content image, designing a classification model and a regression model to complete a final decision, and obtaining an accurate coal ash content prediction result. Compared with other coal ash content detection methods, the method has the advantages of high detection precision, high speed and the like.
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Description

technical field

[0001] The invention relates to the technical field of coal quality detection in mineral processing, in particular to an online coal ash detection system based on deep learning and a detection method thereof.

[0002] technical background

[0003] my country has abundant coal reserves, and the rapid economic development has driven the energy consumption of all walks of life. In order to ensure the quality of coal products, it is of great significance to carry out online rapid detection of coal quality. In the process of coal preparation, the conventional coal quality measurement method requires manual sampling and sample preparation, many interference factors, long test cycle, lagging test results, and poor real-time performance. At the end of the 20th century, China began to introduce coal quality online detection equipment. Coal quality online detection technology includes dual-energy γ-ray projection method, natural ray method, neutron activation method, X-...

Claims

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