| 矿井电阻率法监测数据质量评价方法探讨 |
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| 引用本文： | 崔伟雄,袁博. 矿井电阻率法监测数据质量评价方法探讨[J]. 煤田地质与勘探, 2023, 51(4): 143-151. DOI: 10.12363/issn.1001-1986.22.10.0796 |
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| 作者姓名： | 崔伟雄 袁博 |
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| 作者单位： | 中煤科工西安研究院(集团)有限公司,陕西 西安 710077 |
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| 基金项目： | 国家自然科学基金项目(42274184);天地科技股份有限公司科技创新创业资金专项项目(2022-3-TD-KJHZ001) |
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| 摘 要： | 矿井电阻率法监测是采煤工作面顶底板水害预防的一项重要技术手段,但因井下监测环境电磁干扰复杂、强度极大,同时为煤矿安全生产考虑,最大发射电流受限,因此,矿井电阻率法监测采集数据的质量难以保证。为了从每日监测到的海量数据中选择可信度较高的数据加以利用,对比分析了常用的矿井直流电阻率法探测数据质量评价方法的优缺点,基于矿井电阻率法监测本身自动化、智能化、全波形、不间断数据采集的特点,研究了矿井电阻率法监测全波形数据的时频域特征;针对发射电流、原始数据噪声、数据稳定性3个方面,利用统计学原理提出定量的数据质量评价方法,设计了可用于矿井电阻率法监测数据质量评价的发射电流和稳定性、接收信号时间和空间稳定性以及原始数据的信噪比4种参数;并以此为基础建立了矿井电阻率法监测数据质量评价流程;最后应用于井下实际采集的监测数据。结果表明：该流程具备针对性强、手段丰富、较全面反映噪声干扰情况等优点,能够适用于井下电阻率法监测本身自动化、智能化、全波形不间断数据采集的特点,解决了现有技术条件下矿井电阻率法监测数据质量管控不足的问题。
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| 关 键 词： | 矿井电阻率法监测 数据质量控制 全波形数据 频谱特征 信噪比 |
| 收稿时间： | 2022-10-24 |
Quality assessment of resistivity monitoring data of coal mines |
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| Affiliation: | CCTEG Xi’an Research Institute (Group) Co., Ltd., Xi’an 710077, China |
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| Abstract: | Resistivity monitoring of coal mines is an important technical means of preventing water hazards on the roof and floor of a mining face. However, it is difficult to guarantee high-quality resistivity data monitored and collected due to the complex and extremely strong electromagnetic interference in the monitoring environment, as well as the limitations of the maximum emission current for the purpose of safe coal mining. To select and utilize highly reliable data from the massive data monitored daily, this study compared and analyzed the advantages and disadvantages of commonly used methods for quality assessment of data obtained using the DC resistivity method. Aiming at the characteristics of automatic, intelligent, full-waveform, and uninterrupted data acquisition in the resistivity monitoring of coal mines, this study investigated the time- and frequency-domain characteristics of the full-waveform resistivity data. Focusing on the transmitted current, noise of original data, and data stability, this study proposed a quantitative method for data quality assessment using the principles of statistics and designed four assessment parameters, namely the intensity and stability of the transmitted current, the temporal and spatial stability of received signals, and the signal-to-noise ratio of the original data. Accordingly, this study established a quality assessment process for resistivity monitoring data and finally applied the quality assessment process to the monitoring data collected underground. As indicated by the application results, the process proposed in this study has multiple advantages, such as strong pertinence, rich means, and the comprehensive reflection of noise interference, and are suitable for the automatic, intelligent, and full-waveform uninterruptible data acquisition of underground resistivity monitoring. Therefore, the quality assessment process proposed in this study can overcome the insufficient quality control of the resistivity monitoring data of coal mines under current technical conditions. |
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