Gas outburst prediction early warning method based on big data platform
A big data platform and a gas-prominent technology, applied in the field of gas outburst prediction and early warning based on the big data platform, can solve the problems of data management, limited computing capacity, and high research and development costs, reduce costs and difficulties, improve computing speed, shorten The effect of training time
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[0021] Such as figure 1 As shown, the present invention discloses a gas outburst prediction and early warning method based on a big data platform, comprising the following steps:
[0022] A. Store the real-time monitoring data automatically collected by the security monitoring system in the HDFS distributed file system of the Hadoop platform, and analyze whether there is zero-value data or missing data in the real-time monitoring data. If there is zero-value data or missing data, go to step B. If there is no zero value data or missing data, go to step C. The Hadoop platform is a software framework capable of distributed processing of massive amounts of data. Its core architecture includes the distributed file system HDFS for storing massive amounts of data and MapReduce for parallel computing of massive amounts of data.
[0023] B. Use the linear exponential smoothing method to preprocess the real-time monitoring data, that is, compile the linear exponential smoothing method ...
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