Research and application of recognition technology for abnormal data from coal gas monitoring system
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摘要: 详细分析了瓦斯监测系统在日常运行中产生异常数据的原因，阐述了异常数据辨识原则，建立了异常数据识别模型，并根据该模型设计了异常数据分析识别软件。实际应用结果表明，该分析软件能够有效减少瓦斯监测系统误报警、误断电情况的发生，提高了监测数据的真实性和可靠性。Abstract: The paper analyzed causes of abnormal data of coal gas monitoring system in details, expounded recognizing principle of abnormal data, established recognition model and developed analysis software of abnormal data according to the recognition model. The practical application shows that the analysis software can effectively decrease false alarm and false power off, and improve of data validity and reliability.
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Key words:
- monitoring and control of coal mine /
- gas monitoring /
- abnormal data /
- recognition model /
- data mining
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