Data processing method and device for train set failure prediction

A fault prediction and data processing technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as low efficiency and accuracy of fault prediction, long time consumption, cumbersome collection and processing processes, etc., to achieve Improve decision-making ability, improve accuracy, and improve the effect of data response speed

Inactive Publication Date: 2018-06-29
CRRC QINGDAO SIFANG CO LTD +1
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These data are stored in different locations and in different business systems. In the prior art, in order to predict trainset failures, each collection of data needs to be accessed, processed, and analyzed for each related system. The collection and processing process is cumbersome and cumbersome. It takes a long time, resulting in low efficiency and accuracy of fault prediction

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data processing method and device for train set failure prediction
  • Data processing method and device for train set failure prediction
  • Data processing method and device for train set failure prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Embodiments of the invention are some embodiments, but not all embodiments.

[0030] figure 1 The flow chart of the data processing method for train set fault prediction is shown, and the train set described in the present invention is preferably an EMU. The method includes:

[0031] S11 sends a request for data required for fault prediction to the data preprocessing module:

[0032] When the train group management system needs to perform fault prediction, the fault prediction module in the system will send a request to the data preprocessing module. The request is for the data required for fault prediction, which can be...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a data processing method for train set failure prediction. The method includes the steps of sending a request for failure prediction required data to a data preprocessing module, and receiving the requested data from the data preprocessing module for train set failure prediction, wherein the data obtained from service systems of a train set is classified to be stored in thedata preprocessing module according to a preset data model. The invention further provides a data processing device for train set failure prediction. Multi-source heterogeneous data related to the train set failure prediction are unified and classified to be stored, network resources are saved, data response speed is increased, the failure prediction speed and accuracy are improved, and the decision making capacity of a rail system for operation and maintenance activities is improved.

Description

technical field [0001] The invention relates to the field of railway vehicle failure prediction, in particular to a data processing method and device for train group failure prediction. Background technique [0002] Fault prediction refers to carrying out predictive diagnosis and fault trend analysis based on the existing or historical performance status and data information of the equipment or system to determine the degree of mechanical wear, remaining life or normal working time of the equipment or system. Take maintenance measures at an appropriate time before the monitored equipment or system fails. Fault prediction can improve the decision-making ability of the railway system for maintenance activities, and the maintenance and management of key components of the train set is an important factor to ensure the safety of all links during transportation. [0003] The fault prediction of the key components of the train set involves the data of many information systems in t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F11/07G06F17/30
CPCG06F16/215G06F16/22G06F16/25G06F16/285G06Q10/04G06Q10/20G06Q50/40
Inventor 郝伟孙华贺婷婷何彬孙赫勇张春黄天立
Owner CRRC QINGDAO SIFANG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap