Research on data-driven detection technology of smart coal mine
Data-driven detection technology is an effective part of development of smart coal mine. It can predict behavior of future object system without knowing accurate analytical model of smart coal mine big data system. For the difficult problems of intelligent production operation, inherent safety produ...
Saved in:
| Published in: | Gong kuang zi dong hua = Industry and mine automation Vol. 46; no. 10; pp. 49 - 54 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | Chinese |
| Published: |
Editorial Department of Industry and Mine Automation
01-09-2020
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Data-driven detection technology is an effective part of development of smart coal mine. It can predict behavior of future object system without knowing accurate analytical model of smart coal mine big data system. For the difficult problems of intelligent production operation, inherent safety production,scientific operation mode of smart coal mine, application status of data-driven detection technology in fault diagnosis of coal mine equipment, detection of foreign object in belt transportation and detection and identification of coal-gangue was analyzed.The development trend of data-driven detection technology in these three aspects was prospected: ① Fuzzy mathematics and artificial neural network should be integrated into fault diagnosis of coal mine equipment more effectively; ② Video anti-shake, image segmentation and target detection technologies should be more effectively integrated into detection of foreign object in belt transportation; ③ Sorting robot, computer vision and image recognition technolog |
|---|---|
| ISSN: | 1671-251X |
| DOI: | 10.13272/j.issn.1671-251x.17606 |