| Autor: |
13347/j.cnki.mkaq.2022.03., LI Xiaoshen, SHU Longyong, LI Hongyan, MA Yankun, ZHOU Yang, SONG Xin |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Meikuang Anquan, Vol 53, Iss 3, Pp 120-124 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1003-496X |
| DOI: |
10.13347/j.cnki.mkaq.2022.03.017 |
| Popis: |
In order to solve the defects of low intelligence in gas drainage and control, imperfect gas prevention and control information, and ignoring data analysis and situation prediction in gas drainage model, a set of intelligent decision-making platform for gas drainage standard is constructed based on the “one map” of the Internet of things and centered on intelligent optimization algorithm and “big data” mining. The data association and fusion function is developed to realize the real-time evaluation of pumping and production standards; integrating the real-time drainage data and historical drainage data, the neural network prediction method is used to guide the data mining of gas control data, so as to realize the intelligent prediction of gas drainage model; the API method is applied to customize the GIS function, so as to realize the visualization of underground application scene of gas prevention and control and the workflow of well gas control. The platform has been applied in Dongpang Mine of Jizhong Energy Co., Ltd. The field test results show that the platform can effectively reduce the workload of coal mine technicians and the possible errors caused by manual processing and manual prediction, realize the transparency of gas drainage and prevention, and promote the intelligent development of gas control. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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