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- Title
再论巷道直流电法超前探测技术的有效性.
- Authors
王 鹏; 鲁晶津; 王信文
- Abstract
The advance detection technology of the direct current method in coal mines is one of the main methods for the detection of water-rich anomalies in front of the tunneling work. Coal mines in my country have a history of nearly 30 years. Some experts and scholars have questioned the effectiveness of this technology through research and analysis. For this reason, the author uses the infinitely extending slab, sphere, or cube model in a uniform full space as a basis, and calculates the potential distribution and the full space of the point power supply. The abnormal feature parameter extraction method fits the relationship between the abnormal distance and the minimum value of the abnormal feature parameter, analyzes the response characteristics of the floor anomaly, and calculates the theoretical detection distance. The results show that the abnormal physical energy in front of the tunneling work produces obvious abnormal response behind the roadway, that is, the rear signal contains the information of the front low resistance body, which proves that the basic principle of the technology is correct; the front low resistance body and the rear apparent resistivity abnormal position It is not a mirror image relationship. Select the correct abnormal characteristic parameters to obtain the position of the abnormality ahead; both the low-resistance body in front of the roadway and the low-resistance body of the floor can produce potential anomalies, which can be screened according to the abnormal response characteristics; the direct current method can detect the maximum The distance can reach about 80 m. The DC advance detection method in the tunneling face of coal mine is effective, and can continue to be promoted and applied and improved continuously.
- Subjects
SPACE Age, 1957-; MINING methodology; UNIFORM spaces; COAL mining; MIRROR images
- Publication
Coal Science & Technology (0253-2336), 2020, Vol 48, Issue 12, p257
- ISSN
0253-2336
- Publication type
Article
- DOI
10.13199/j.cnki.cst.2020.12.033