BIM-based intelligent train whole-vehicle service life prediction method and system thereof

A service life and prediction method technology, applied in the direction of railway vehicle testing, etc., can solve problems such as the decline of prediction accuracy and the inability to accurately model the service life of trains

Active Publication Date: 2019-10-25
CENT SOUTH UNIV
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Problems solved by technology

In the existing research, the prediction of environmental / load factors and the quantification of influence have not been included, so the remaining service life of the train cannot be accurately modeled, resulting in a decrease in prediction accuracy

Method used

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  • BIM-based intelligent train whole-vehicle service life prediction method and system thereof
  • BIM-based intelligent train whole-vehicle service life prediction method and system thereof
  • BIM-based intelligent train whole-vehicle service life prediction method and system thereof

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Embodiment Construction

[0076] Such as figure 1 Shown is the method flow diagram of the method of the present invention: this BIM-based intelligent train vehicle service life prediction method provided by the present invention comprises the following steps:

[0077] S1. Obtain the static data of the complete train and each component of the train; specifically, the following steps are used to obtain the static data:

[0078] Ⅰ. Divide the whole train into the following components: running part, hook and buffer device, car body, traction system, air conditioning system, braking system and pantograph;

[0079] Ⅱ. In the design stage, obtain the three-dimensional model, model, parameter and maintenance history data of the whole train and each part of the train;

[0080] Ⅲ. In the operation and maintenance phase, obtain the maintenance type data and maintenance content data after each maintenance of the train, and simultaneously update the 3D model, model, parameter and maintenance history data of the co...

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Abstract

The invention discloses a BIM-based intelligent train whole-vehicle service life prediction method, which comprises the steps of: acquiring static data and operating performance parameters of a wholetrain and components of the train; extracting a health indicator timing sequence of the components of the train; predicting to obtain remaining service life of the whole train and the components of the train, and correcting the remaining service life; and acquiring a final remaining service life prediction result of the whole train and the components. The invention further discloses a system for implementing the BIM-based intelligent train whole-vehicle service life prediction method. The BIM-based intelligent train whole-vehicle service life prediction method and the system can realize the monitoring of the train service state and external influencing factors, complete the modeling of uncertainty influence of the external factors on the remaining service life, provide comprehensive visualinformation, can realize the prediction of the remaining life of the train, effectively improve the service performance of the train, and have the advantages of high reliability, high applicability and comprehensive and precise evaluation.

Description

technical field [0001] The invention specifically relates to a BIM-based intelligent train service life prediction method and system thereof. Background technique [0002] With the development of economy and technology and the improvement of people's living standards, transportation has become one of the most important components of modern society. With the development of technology, my country's railway industry has also been greatly developed. [0003] Trains are the main transport vehicles in my country's railway industry. Under the current trend of "high-speed passenger transport and heavy-duty freight transport" in our country, high requirements are put forward for the safety performance of train operation. If a train breaks down while it is running, it can lead to dire consequences. The remaining service life prediction of the whole train can evaluate the health status of the train and provide a reference for managers to designate reasonable and feasible maintenance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M17/08
CPCG01M17/08
Inventor 刘辉段铸李燕飞
Owner CENT SOUTH UNIV
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