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Method for positioning hidden danger of door system of train based on probability petri network

A technology for car doors and trains, which is applied in the field of hidden danger identification, can solve the problems of combination explosion, imperfect fuzzy model construction method, and huge decision table, etc., and achieve the effect of fast and accurate identification and positioning

Inactive Publication Date: 2015-11-11
BEIJING JIAOTONG UNIV
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Problems solved by technology

For example, it is difficult to establish and maintain the knowledge rule base of the expert system; the artificial neural network needs a large number of representative samples for learning before it is used, and it does not have the ability to explain knowledge; when the rough set method deals with multiple faults, the decision table is very difficult. Huge, even the problem of combination explosion; the acquisition of membership degree and the construction method of complex system fuzzy model in fuzzy set theory are not perfect; the training of Bayesian network is more complicated and requires prior probability information, for more complex faults and The analysis of a large-scale system is actually an NP-complete problem; the genetic algorithm shows certain difficulties in establishing a reasonable fitness function and parameter selection

Method used

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  • Method for positioning hidden danger of door system of train based on probability petri network
  • Method for positioning hidden danger of door system of train based on probability petri network
  • Method for positioning hidden danger of door system of train based on probability petri network

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Embodiment 1

[0046] Petri net is a mathematical tool suitable for many kinds of systems, especially FDES (Fuzzy Discrete Event System, Fuzzy Discrete Event System) analysis. It has both strict mathematical description and intuitive graphic expression. The car door system is also a typical fuzzy discrete event system. Using Petri nets for fault diagnosis of the car door system is in line with human thinking and cognition. The method establishes a TC-PPN model for the direction of fault propagation, and uses Petri net reasoning and Bayesian probability calculation to quickly and accurately determine fault components.

[0047] The embodiment of the present invention provides a method for locating hidden dangers of a train door system based on a probabilistic petri net. The examples are not limited to this:

[0048] The hidden danger in the embodiment of the present invention means that a certain component does not make a corresponding action at the moment of the action, or the event with a c...

Embodiment 2

[0078] Taking the door system of urban rail train as an example, the specific implementation method is as follows:

[0079] Firstly, the system is decomposed into layers to clarify the connection of the structure of each layer under the functional conditions, and to determine the logic sequence of actions. figure 2 Shown is the structure diagram of the urban rail train door system, image 3 Shown is the flow chart of opening the door of the urban rail train.

[0080] Construct the PPN model. Among them, the line segment with a circle at the front end. Represents the suppression arc; places represent hidden dangers corresponding to abnormal noises during the door opening process, and are named as corresponding events, A1 represents insufficient lubrication of long and short guide posts; A2 represents insufficient lubrication of screw nuts, etc.; other places representative events are shown in Table 1. Example PPN model description table; t 1 ,t 2 ,t 3 ,t 4 ,t 5 ,t 6 ,...

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Abstract

The embodiment of the present invention provides a method for positioning the hidden danger of a door system of a train based on a probability petri network. Firstly, faults, which occur and possibly occur, at each key position of the system are analyzed to determine the hidden danger; a probability Petri network (PPN) model is established according to observation events of the hidden danger of the system and a logical relationship so as to describe a time sequence and a causal relationship between the events; then according to system initial information and the established probability Petri network model, an initial identification M0, a related matrix C and a transition sequence U are generated; a state equation is utilized to analyze the state description changing process of the probability Petri network; and finally, the hidden danger occurrence probability of the system is combined and the established system probability Petri network model is adopted to perform inference analysis on a discrete event system. By analyzing a probability value of a system hidden danger place in a stable state, positioning on the system hidden danger can be realized.

Description

technical field [0001] The invention relates to the technical field of hidden danger identification, in particular to a method for locating hidden dangers of a train door system based on a probability petri net. Background technique [0002] Urban rail transit is entering a new stage of rapid development. In order to alleviate the pressure of road traffic congestion and improve operating efficiency, urban rail transit plays a pivotal role. With the continuous accumulation of operating mileage, the probability of potential failure of the train door system is increasing, and more complex and diverse failure forms continue to appear, causing inconvenience to passenger transportation and maintenance, and the resulting economic losses are also huge. Therefore, the reliability and safety of the door system has also become a key issue to be solved. The research on hidden danger identification of the door system of urban rail trains has great application value. [0003] At present...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 秦勇贾利民付云骁苏钊颐龚玲叶阳东佘维邢宗义
Owner BEIJING JIAOTONG UNIV
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