CN116579677B - Full life cycle management method and system for high-speed railway electric service vehicle-mounted equipment - Google Patents
Full life cycle management method and system for high-speed railway electric service vehicle-mounted equipment Download PDFInfo
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Abstract
The invention discloses a full life cycle management method and system for high-speed railway electric vehicle-mounted equipment, and relates to the technical field of railway equipment management, wherein the method comprises the following steps: s1: the method comprises the steps of obtaining specific types of high-speed railway vehicle-mounted equipment and corresponding equipment information, and classifying the vehicle-mounted equipment to obtain a classification result; s2: establishing an equipment simulation equivalent model according to the classification result, and obtaining a corresponding first predicted residual effective life by using the equipment simulation equivalent model; s3: obtaining a fault signal of the vehicle-mounted equipment according to the classification result, and processing the fault signal to obtain a second predicted residual effective life and the like; the invention can reduce the running risk of the high-speed railway and improve the overall maintenance level of the high-speed railway.
Description
Technical Field
The invention relates to the technical field of railway equipment management, in particular to a full life cycle management method and system for high-speed railway electric vehicle-mounted equipment.
Background
At present, the development of high-speed railways is gradually changed, and the high-speed railways are called as future transportation modes by virtue of the advantages of safety, high efficiency and the like, while high-speed railway systems are one representative of complex systems, the internal hierarchy structure is complex, the parts are various, the components are fragmented, the corresponding different devices and the failure modes of the components and the influence are mixed, so that the state management of relevant vehicle-mounted devices of the high-speed railways becomes a great difficulty.
However, in the running process of the high-speed railway vehicle-mounted equipment, a large amount of use data can be generated, the working state of the equipment is judged according to the data and is limited to a normal state and an abnormal state, the residual service life of the components cannot be predicted, the number of the equipment is large, a large amount of data needs to be processed in the calculating process, the overall calculated amount is large, the efficiency is low, and the full life cycle management of the vehicle-mounted equipment cannot be realized.
Therefore, how to provide a full life cycle management method for high-speed railway electric vehicle equipment capable of solving the above problems is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the invention provides a full life cycle management method and system for high-speed railway electric vehicle-mounted equipment, which can reduce the running risk of a high-speed railway and improve the overall maintenance level of the high-speed railway electric vehicle-mounted equipment.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a full life cycle management method of high-speed railway electric vehicle-mounted equipment comprises the following steps:
s1: the method comprises the steps of obtaining specific types of high-speed railway vehicle-mounted equipment and corresponding equipment information, and classifying the vehicle-mounted equipment to obtain a classification result;
s2: establishing an equipment simulation equivalent model according to the classification result, and obtaining a corresponding first predicted residual effective life by using the equipment simulation equivalent model;
s3: acquiring a fault signal of the vehicle-mounted equipment according to the classification result, and processing the fault signal to obtain a second predicted residual effective life;
s4: and optimizing the first predicted remaining effective life and the second predicted remaining effective life to obtain comprehensive remaining life, and reminding a worker of carrying out identification processing in time according to the comprehensive remaining life and the equipment information.
Preferably, the S1 specifically includes:
s11: dividing the vehicle-mounted equipment according to the function of the vehicle-mounted equipment to obtain a first classification result, wherein the first classification result comprises: important equipment, secondary equipment and general equipment;
s12: constructing a vehicle-mounted equipment evaluation index system, acquiring a corresponding evaluation matrix according to the first classification result, and extracting a feature vector corresponding to the evaluation matrix;
s13: and calculating the association degree between the feature vectors, and dividing the first classification result again according to a preset association degree threshold value to obtain a classification result.
Preferably, the S2 specifically includes:
s21: establishing an equipment simulation equivalent model according to the classification result;
s22: and performing simulated failure processing on the equipment simulation equivalent model to obtain a corresponding first predicted residual effective life.
Preferably, the step S3 specifically includes:
s31: according to the classification result, acquiring state data information of the vehicle-mounted equipment in real time, and extracting a corresponding fault signal from the state data information;
s32: and constructing a trained residual life prediction network, and processing the fault signal by using the residual life prediction network to obtain a second predicted residual effective life.
Preferably, the step S5 specifically includes: and weighting the first predicted remaining effective life and the second predicted remaining effective life to obtain the comprehensive remaining life of the equipment.
Preferably, the step S11 specifically further includes: cell meshing is also utilized in the partitioning of the in-vehicle devices.
Preferably, the specific process of reminding the staff to perform the identification processing in S4 includes: and the equipment state early warning is realized, and the equipment state evaluation is carried out.
The invention further provides a system for managing the full life cycle of the high-speed railway electric vehicle-mounted equipment by using any one of the above methods, which comprises the following steps:
the system comprises an acquisition module, a classification module and a classification module, wherein the acquisition module is used for acquiring specific types of high-speed railway vehicle-mounted equipment and corresponding equipment information and classifying the vehicle-mounted equipment to obtain a classification result;
the first calculation module is connected with the acquisition module and is used for establishing an equipment simulation equivalent model according to the classification result and obtaining a corresponding first predicted residual effective life by utilizing the equipment simulation equivalent model;
the second calculation module is connected with the acquisition module and is used for acquiring a fault signal of the vehicle-mounted equipment according to the classification result and processing the fault signal to obtain a second predicted residual effective life;
the processing module is connected with the first computing module and the second computing module and is used for optimizing the first predicted remaining effective life and the second predicted remaining effective life to obtain comprehensive remaining life, and the staff is reminded of carrying out recognition processing in time according to the comprehensive remaining life and the equipment information.
Further, the present invention also provides a computer-readable storage medium storing computer-executable instructions for performing the method of any one of the preceding claims.
Compared with the prior art, the invention discloses a full life cycle management method and system for high-speed railway electric vehicle-mounted equipment, which are characterized in that the high-speed railway electric vehicle-mounted equipment is classified and subjected to association analysis, simulation prediction and actual fault signal prediction are respectively carried out after the equipment of the same class is analyzed and processed, the corresponding first prediction residual effective life and second prediction residual effective life are obtained, the first prediction residual effective life and the second prediction residual effective life are processed, the comprehensive residual life is obtained, the performance degradation rule of the equipment in each stage of the full life cycle is evaluated, and further, the high-speed railway running risk prompt, fault diagnosis and processing are carried out, so that the running risk of the high-speed railway is reduced, and the integral maintenance level of the high-speed railway electric vehicle-mounted equipment is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a general flow chart of a full life cycle management method of high-speed railway electric vehicle equipment provided by the invention;
fig. 2 is a schematic structural diagram of a full life cycle management system of high-speed railway electric vehicle-mounted equipment provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the embodiment of the invention discloses a full life cycle management method of high-speed railway electric vehicle equipment, which comprises the following steps:
s1: the method comprises the steps of obtaining specific types of high-speed railway vehicle-mounted equipment and corresponding equipment information, and classifying the vehicle-mounted equipment to obtain classification results;
s2: establishing an equipment simulation equivalent model according to the classification result, and obtaining a corresponding first predicted residual effective life by using the equipment simulation equivalent model;
s3: obtaining a fault signal of the vehicle-mounted equipment according to the classification result, and processing the fault signal to obtain a second predicted residual effective life;
s4: and optimizing the first predicted remaining effective life and the second predicted remaining effective life to obtain comprehensive remaining life, and reminding a worker to perform identification processing in time according to the comprehensive remaining life and equipment information.
In a specific embodiment, S1 specifically includes:
s11: according to the functions of the vehicle-mounted equipment, the vehicle-mounted equipment is divided to obtain a first classification result, wherein the first classification result comprises: important equipment, secondary equipment and general equipment;
s12: constructing an evaluation index system of the vehicle-mounted equipment, acquiring a corresponding evaluation matrix according to a first classification result, and extracting a feature vector corresponding to the evaluation matrix;
s13: and calculating the association degree between the feature vectors, and dividing the first classification result again according to a preset association degree threshold value to obtain a classification result.
In a specific embodiment, S2 specifically includes:
s21: establishing an equipment simulation equivalent model according to the classification result;
s22: and performing simulated failure processing on the equipment simulation equivalent model to obtain a corresponding first predicted residual effective life.
In a specific embodiment, S3 specifically includes:
s31: according to the classification result, collecting state data information of the vehicle-mounted equipment in real time, and extracting a corresponding fault signal from the state data information;
s32: and constructing a trained residual life prediction network, and processing fault signals by using the residual life prediction network to obtain a second predicted residual effective life.
The residual life prediction network can be a BP neural network, and the network is trained and tested by utilizing the historical fault data of the vehicle-mounted equipment.
In a specific embodiment, S5 specifically includes: and weighting the first predicted remaining effective life and the second predicted remaining effective life to obtain the comprehensive remaining life of the equipment.
In a specific embodiment, S11 specifically further includes: cell meshing is also utilized in the meshing of the in-vehicle devices.
In a specific embodiment, the specific process of reminding the staff to perform the identification processing in S4 includes: and the equipment state early warning is realized, and the equipment state evaluation is carried out.
Referring to fig. 2, the embodiment of the present invention further provides a system for managing a full life cycle of a high-speed railway electric vehicle device by using any one of the above embodiments, where the system includes:
the acquisition module is used for acquiring specific types of the high-speed railway vehicle-mounted equipment and corresponding equipment information, and classifying the vehicle-mounted equipment to obtain classification results;
the first calculation module is connected with the acquisition module and is used for establishing an equipment simulation equivalent model according to the classification result and obtaining a corresponding first predicted residual effective life by using the equipment simulation equivalent model;
the second calculation module is connected with the acquisition module and is used for acquiring fault signals of the vehicle-mounted equipment according to the classification result and processing the fault signals to obtain a second predicted residual effective life;
the processing module is connected with the first computing module and the second computing module and is used for optimizing the first predicted remaining effective life and the second predicted remaining effective life to obtain comprehensive remaining life, and timely reminding workers of carrying out recognition processing according to the comprehensive remaining life and equipment information.
Embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions for performing the method of any of the above embodiments.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The full life cycle management method of the high-speed railway electric vehicle-mounted equipment is characterized by comprising the following steps of:
s1: the method comprises the steps of obtaining specific types of high-speed railway vehicle-mounted equipment and corresponding equipment information, and classifying the vehicle-mounted equipment to obtain a classification result;
s2: establishing an equipment simulation equivalent model according to the classification result, and obtaining a corresponding first predicted residual effective life by using the equipment simulation equivalent model, wherein the step S2 specifically comprises the following steps:
s21: establishing an equipment simulation equivalent model according to the classification result;
s22: performing simulated failure processing on the equipment simulation equivalent model to obtain a corresponding first predicted residual effective life;
s3: obtaining a fault signal of the vehicle-mounted equipment according to the classification result, and processing the fault signal to obtain a second predicted remaining effective life, wherein the step S3 specifically comprises the following steps:
s31: according to the classification result, acquiring state data information of the vehicle-mounted equipment in real time, and extracting a corresponding fault signal from the state data information;
s32: constructing a trained residual life prediction network, and processing the fault signal by using the residual life prediction network to obtain a second predicted residual effective life;
s4: optimizing the first predicted remaining effective life and the second predicted remaining effective life to obtain comprehensive remaining life, and reminding a worker of carrying out identification processing in time according to the comprehensive remaining life and the equipment information, wherein the S4 specifically comprises the following steps:
and weighting the first predicted remaining effective life and the second predicted remaining effective life to obtain the comprehensive remaining life.
2. The method for managing the full life cycle of the high-speed railway electric vehicle equipment according to claim 1, wherein the S1 specifically comprises:
s11: dividing the vehicle-mounted equipment according to the function of the vehicle-mounted equipment to obtain a first classification result, wherein the first classification result comprises: important equipment, secondary equipment and general equipment;
s12: constructing a vehicle-mounted equipment evaluation index system, acquiring a corresponding evaluation matrix according to the first classification result, and extracting a feature vector corresponding to the evaluation matrix;
s13: and calculating the association degree between the feature vectors, and dividing the first classification result again according to a preset association degree threshold value to obtain a classification result.
3. The method for managing the full life cycle of the high-speed railway electric vehicle equipment according to claim 2, wherein the step S11 specifically further comprises: cell meshing is also utilized in the partitioning of the in-vehicle devices.
4. The method for managing the full life cycle of the high-speed railway electric vehicle-mounted equipment according to claim 1, wherein the specific process of reminding the staff of performing the identification processing in S4 comprises the following steps: and the equipment state early warning is realized, and the equipment state evaluation is carried out.
5. A system for utilizing the full life cycle management method of the high-speed railway electric vehicle equipment according to any one of claims 1-4, comprising:
the system comprises an acquisition module, a classification module and a classification module, wherein the acquisition module is used for acquiring specific types of high-speed railway vehicle-mounted equipment and corresponding equipment information and classifying the vehicle-mounted equipment to obtain a classification result;
the first calculation module is connected with the acquisition module and is used for establishing an equipment simulation equivalent model according to the classification result and obtaining a corresponding first predicted residual effective life by utilizing the equipment simulation equivalent model;
the second calculation module is connected with the acquisition module and is used for acquiring a fault signal of the vehicle-mounted equipment according to the classification result and processing the fault signal to obtain a second predicted residual effective life;
the processing module is connected with the first computing module and the second computing module and is used for optimizing the first predicted remaining effective life and the second predicted remaining effective life to obtain comprehensive remaining life, and the staff is reminded of carrying out recognition processing in time according to the comprehensive remaining life and the equipment information.
6. A computer readable storage medium, characterized in that computer executable instructions are stored for performing the method of any of the preceding claims 1-4.
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| CN103530715A (en) * | 2013-08-22 | 2014-01-22 | 北京交通大学 | Grid management system and grid management method of high-speed railway train operation fixed equipment |
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