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Monitoring method and system for running process of heavy-load train based on interval type II

A technology for heavy-duty trains and running processes, applied in the directions of registration/indicating vehicle operation, reasoning methods, neural learning methods, etc. Non-linear and other issues, to achieve the effect of improving accuracy and realizing high-precision monitoring

Active Publication Date: 2021-06-15
EAST CHINA JIAOTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For the modeling of the operation process of heavy-duty trains, the description method based on traction calculation and running resistance empirical model is usually used, but it cannot completely describe the complex and changeable dynamic behavior of heavy-duty trains; the interval type-2 fuzzy method can solve the problem of Nonlinear, Uncertain Modeling Problems in Processes

Method used

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  • Monitoring method and system for running process of heavy-load train based on interval type II
  • Monitoring method and system for running process of heavy-load train based on interval type II
  • Monitoring method and system for running process of heavy-load train based on interval type II

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] like figure 1 As shown, a kind of heavy-duty train running process monitoring method provided by the present embodiment includes:

[0074] Step 101: Obtain the force information of the heavy-haul train.

[0075] Step 102: Determine the dynamic model of the movement process of the heavy-haul train according to the force information.

[0076] Step 103: Perform fuzzy C-means cluster analysis on the sample data of the heavy-haul train to determine the antecedent parameters of the dynamic sub-model.

[0077] Step 104: According to the antecedent parameters and the sample data of the heavy-duty train, determine the consequent parameters of the dynamic sub-model by using the least square method.

[0078] Step 104 specifically includes:

[0079] The initial consequent parameter is determined by using the least square method according to the antecedent parameter and the sample data of the heavy-duty train.

[0080] A first model is determined based on the antecedent paramete...

Embodiment 2

[0102] This embodiment provides a specific implementation of a heavy-duty train operation process monitoring method, the steps are as follows:

[0103] Analyze the stress situation during the operation of heavy-duty trains, such as figure 2 As shown, the dynamic model of its motion process can be expressed as:

[0104]

[0105] In the formula, y is the running speed of the heavy-duty train, ε is the acceleration coefficient, u is the unit control force (traction force / braking force), ω 0 =A+By+Cy 2 , ω 0 is the unit of basic resistance, A, B, and C are the resistance coefficients, and the differential equation of formula (1) is expressed as:

[0106] y(k)=f{y(k-1), u(k-1)} (2)

[0107] According to the operation process of the heavy-duty train, fuzzy reasoning rules are used to model the model, and the linear structure of the sub-model is determined based on the mathematical equation description of the force of the heavy-duty train operation process. When the rule is d...

Embodiment 3

[0155] like Figure 8 As shown, the present embodiment also provides a heavy-duty train operation process monitoring system, including:

[0156] The force information acquisition module 801 is used to acquire the force information of the heavy-haul train.

[0157] A dynamic model determining module 802, configured to determine a dynamic model of the heavy-haul train's motion process according to the force information.

[0158] The antecedent parameter determination module 803 of the dynamic sub-model is used to perform fuzzy C-means cluster analysis on the sample data of the heavy-haul train to determine the antecedent parameters of the dynamic sub-model.

[0159] The subsequent parameter determination module 804 of the dynamic sub-model is configured to determine the subsequent parameter of the dynamic sub-model by using the least square method according to the preceding parameter and the sample data of the heavy-duty train.

[0160] A dynamic submodel determining module 80...

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Abstract

The invention relates to a monitoring method and system for the running process of a heavy-load train. The monitoring method comprises the steps: obtaining stress information of the heavy-load train; determining a dynamic model of the heavy haul train in the motion process according to the stress information; performing fuzzy C-means clustering analysis on the sample data of the heavy-load train, and determining preceding component parameters of a dynamical sub-model; according to the preceding component parameters and the sample data of the heavy-load train, determining the following component parameters of the dynamical sub-model by using a least square method; determining the dynamical sub-model under each rule according to the preceding component parameter of the dynamical sub-model, the following component parameter of the dynamical sub-model and the dynamical model; determining an initial model according to the dynamical sub-model under each rule; determining a heavy-load train operation process model according to the initial model; and monitoring the running process of the heavy-load train according to the heavy-load train running process model. According to the method, stable and accurate monitoring of the running process of the heavy-load train is realized through high-precision modeling of the running process of the heavy-load train.

Description

technical field [0001] The invention relates to the field of modeling of the running process of heavy-duty trains, in particular to a method and system for monitoring the running process of heavy-duty trains based on Section II. Background technique [0002] After the 1980s, with the development of new materials and new processes and the wide application of computer control technology and information transmission technology on railways, the level of heavy-duty railway transportation has been greatly improved. Due to the characteristics of high efficiency, large transportation capacity and low transportation cost, heavy-duty transportation can bring huge economic benefits, so it has attracted the attention of various countries. As an effective carrier of heavy-duty transportation, heavy-duty trains are the main bearer of freight, which largely determines the efficiency of heavy-duty transportation. Therefore, effective research on heavy-haul trains will also have a direct im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08G06K9/62G06N3/08G06N5/04
CPCG07C5/0808G06N3/084G06N5/048G06F18/23213Y02P90/02
Inventor 付雅婷郑勇杨辉饶文轩李中奇谭畅
Owner EAST CHINA JIAOTONG UNIVERSITY
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