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Shield tunneling machine fault prediction method based on LSTM

A fault prediction and shield machine technology, applied in neural architecture, computer components, computer-aided design, etc., can solve problems such as economic loss, endangering the safety of construction personnel and the surrounding area of ​​the construction site, and affecting the progress of the project

Pending Publication Date: 2019-09-06
CHINA RAILWAY HI TECH IND CORP LTD +2
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Problems solved by technology

These failures will not only affect the progress of the project and cause economic losses, but also endanger the safety of construction personnel and the surrounding areas of the construction site in severe cases.

Method used

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  • Shield tunneling machine fault prediction method based on LSTM
  • Shield tunneling machine fault prediction method based on LSTM
  • Shield tunneling machine fault prediction method based on LSTM

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Embodiment Construction

[0046] The invention provides a multi-label prediction method for shield machine faults based on LSTM, utilizes the characteristics of long-short-term memory network that is good at processing time series data, and utilizes actual data collected during shield machine construction to predict multiple faults during shield machine construction.

[0047] combine Figure 1-Figure 4 , an LSTM-based shield fault multi-label prediction method includes the following steps:

[0048] Step 1, integrate the actual construction data of the shield machine, external environment data and shield construction failure data.

[0049] Step 2, combine figure 1 , to perform data preprocessing, including several sub-steps of data cleaning, data integration, labeling of shield failure labels and balancing the number of positive and negative label samples in the data set.

[0050] Firstly, the data cleaning of the shield construction parameters is carried out, and the geological and risk source data a...

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Abstract

The invention discloses a shield tunneling machine fault prediction method based on LSTM. Starting from actual shield construction practice, for the problem that multiple subsystems have faults at thesame time in shield construction, an LSTM-based shield system fault multi-label prediction model is established, and construction time sequence data is used for predicting the faults of the shield system. The model can automatically identify the implicit knowledge in the construction time sequence data and mine the rule that the shield system breaks down, manual analysis of interrelation betweenthe construction data is not needed, the fault prediction process is greatly simplified, constructors are helped to early warn system faults in time, and shield tunneling operation is reasonably carried out.

Description

technical field [0001] The invention relates to an LSTM-based shield machine fault prediction method. Background technique [0002] The shield machine is a large-scale and complex equipment integrating opto-mechanical-electric-hydraulic integration under the cover of a movable steel structure shield to complete excavation, ballast removal, lining and other excavation operations. It is relatively safe, efficient and economical, and has little impact on the external environment. , Since its birth, it has been widely used in the construction of various tunnels and underground projects. Due to the complexity of the system composition and the harsh environment during construction, various failures often occur in the construction process of the shield machine. These failures will not only affect the progress of the project and cause economic losses, but also endanger the safety of construction personnel and the surrounding areas of the construction site in severe cases. [0003]...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06K9/62G06N3/04
CPCG06F30/20G06N3/048G06N3/044G06N3/045G06F18/2135Y02P90/30
Inventor 徐进段文军章龙管赵振威王明刘绥美冯赟杰刘丽莎路桂珍张中华李恒廖珂焦俊奇
Owner CHINA RAILWAY HI TECH IND CORP LTD
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