Analysis and Mining of Real-time Monitoring Data from Shield Machines has been included in the journal Tunnel Construction.
A shield is a machine that uses a shield to resist the surrounding earth pressure and then excavates under the shield. On the one hand, monitoring parameters such as propulsion speed, total thrust and cutter head speed reflect the working state of the shield. Based on appropriate monitoring parameters, the shield will record a large number of process data during tunneling. On the other hand, the excavation process of the shield also needs a lot of geological and geographic information as support to evaluate the working state of the shield. How to use these parameters, data and complex geological and geographic information to evaluate or predict the performance of shield is one of the important problems in the field of shield.
Firstly, data analysis and mining techniques are used to preprocess the monitoring data. Then, with the help of association rule analysis method and improved Apriori algorithm, the relationship among more than ten parameters in shield construction is analyzed and mined, and the typical association results are explained, which verify the mastered laws, correct misunderstanding and discover the potential unknown laws. Finally, based on classification and regression tree algorithm, the real-time prediction of the stratum where the shield machine is located is made, and a threedimensional geological model is built to interpret and apply the prediction results. The results show that the classification model can reflect the stratum information more truly and can be used as an effective supplement to the geological survey results. The feasibility and rationality of analyzing and mining the monitoring data of shield machine is verified by Guangzhou metro section.
Note: "Tunnel Construction" is a highly practical technical journal in the field of tunnel and underground engineering, and the core journal of Peking University.