Statistical method of coal mine violations based on text classification technology

Li Jing; Zhang Zhizhen; Du Xuan; Wang Zhen; Liu Ziwei; Xin Yanli

doi:10.19606/j.cnki.jmst.2022.03.009

Volume 7 Issue 3

Jun. 2022

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Article Navigation > Journal of Mining Science and Technology > 2022 > 7(3): 344-353

Li Jing, Zhang Zhizhen, Du Xuan, Wang Zhen, Liu Ziwei, Xin Yanli. Statistical method of coal mine violations based on text classification technology[J]. Journal of Mining Science and Technology, 2022, 7(3): 344-353. doi: 10.19606/j.cnki.jmst.2022.03.009

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Statistical method of coal mine violations based on text classification technology

doi: 10.19606/j.cnki.jmst.2022.03.009

1.
School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
2.
Department of Intelligence and Reconnaissance, Special Police College of CAPF, Beijing 100100, China

Received Date: 2021-08-06
Rev Recd Date: 2021-11-01
Publish Date: 2022-06-20

Abstract

Abstract

As a high-risk industry, coal mining enterprises have a complex record of violations.In order to efficiently, accurately and intelligently retrieve and manage an enterprise's illegal record and reduce the occurrence of illegal behaviors.A database of 13, 935 violations in a mine in recent three years is taken as a sample.The illegal actions are divided into 3 categories and 23 subcategories.And based on the computer text classification technology, the illegal text data classifier is built.Its process includes text preprocessing of Jieba word segmentation, vector space model construction, feature value selection of TF-IDF model, and similarity calculation process.Finally, a visual classification statistics and presentation system was constructed in Python environment, and the classified statistics were carried out.The results showed that the proportion of illegal operation is 64 %, which is the highest among all illegal behavior, followed by illegal action, and illegal command accounted for the smallest proportion.At the same time, the key subcategories of high frequency, medium frequency and low frequency were analyzed to provide quantitative support for accident prevention.
- text classification technology,
- violations behaviors,
- production safety,
- coal mining enterprises

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References

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Statistical method of coal mine violations based on text classification technology

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