CN111806516A - Health management device and method for intelligent train monitoring and operation and maintenance - Google Patents
Health management device and method for intelligent train monitoring and operation and maintenance Download PDFInfo
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Abstract
The invention discloses a health management device for intelligent train monitoring and operation and maintenance, which comprises: the intelligent train state monitoring system comprises a data acquisition module, a data processing module, an online state detection module, a data communication module and a data storage module, wherein the data acquisition module is used for acquiring state data of equipment in an intelligent train operation state in real time; the data processing module is used for carrying out calculation processing of filtering, noise reduction, normalization, feature extraction and cluster analysis on the acquired state data; the online state detection module is used for comparing the data information output by the data processing module with a detection threshold value in a pre-established model base, judging the equipment operation state in the intelligent train operation process and giving an early warning on the condition that the intelligent train possibly breaks down in real time; the data communication module is used for being in communication connection with the intelligent train in real time; and the data storage module is used for storing and recording the intelligent train running state data, the detection process and the result data. The invention enhances the real-time detection capability of the intelligent train, and provides support for optimizing maintenance activities and reducing operation and maintenance costs.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to a health management device and method for intelligent train monitoring and operation and maintenance.
Background
In a traditional train, the information of the running state of the whole train is mainly collected by a Train Control and Management System (TCMS), which is also called a locomotive microcomputer control monitoring System, and mainly has the functions of realizing the characteristic control, logic control, fault monitoring and self-diagnosis of the locomotive, and transmitting the information to a microcomputer display screen on a driver console to visually reflect the real-time state of the locomotive for a driver. It comprises two important components: the TCC train control and communication system and the TMS train management system integrate vehicle-mounted equipment information and data; the TCC is responsible for driving safety and operation of the intelligent train, including control of critical and non-critical functions of the vehicle, monitoring of on-board equipment, TMS is responsible for vehicle diagnostics and operating vehicle management, as well as data network management and other ancillary functions.
With the improvement of vehicle intellectualization and informatization level, a health management system for online operation real-time monitoring and operation and maintenance requirements gradually becomes an intelligent train health management system independent of a TCMS system, and performs function cutting with driving safety control and monitoring, and more states detection, fault diagnosis and whole-train information and data management required by maintenance. Data analysis processing is not carried out on the whole vehicle level, so that system level faults need to be processed, analyzed and judged on the whole vehicle level, false alarm filtering is carried out, fault reports are generated, and support information is provided for maintenance activities; from the perspective of intelligent train operation and maintenance, the on-board prediction function needs to be realized, the residual service life of key components is evaluated, and predictive maintenance is performed.
Therefore, the patent needs to design a whole-vehicle-level health management system (computer) meeting the requirements of intelligent train networks and system topological structures, and the functional logic design is carried out for intelligent operation and maintenance.
Disclosure of Invention
In order to solve the technical problems, the invention provides a health management device and method for intelligent train monitoring and operation and maintenance.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a health management device for intelligent train monitoring and operation and maintenance, comprising: a data acquisition module, a data processing module, an online state detection module, a data communication module and a data storage module, wherein,
the data acquisition module is used for acquiring the state data of the equipment in the running state of the intelligent train in real time;
the data processing module is used for carrying out calculation processing of filtering, noise reduction, normalization, feature extraction and cluster analysis on the acquired state data;
the online state detection module is used for comparing the data information processed by the data processing module with detection threshold information in a pre-established model base, judging the equipment operation state in the intelligent train operation process and giving an early warning on the possible fault condition of the intelligent train in real time;
the data communication module is used for being in communication connection with the intelligent train in real time;
and the data storage module is used for storing and recording the intelligent train running state data, the state characteristic value and the result data.
Preferably, the data processing module further includes a preprocessing module, configured to perform data slicing processing on the acquired state data according to task needs.
Preferably, the state data information includes a switching state of a vehicle door system, a PIS system, a brake system, a traction system, an air conditioning system, a running gear system, a battery system, and the like, sensor data, and monitoring alarm data.
Preferably, the system further comprises an autonomous fault diagnosis module for performing in-system fault self-checking and isolation through the built-in test BIT.
Preferably, the method for establishing the model base in advance is to integrate the running state data and the environment data of the intelligent train under different faults to form a historical database, and establish the neural network identification model of the intelligent train under different faults according to the historical database.
Preferably, the online state detection module further comprises an early warning filtering module, and the early warning filtering module is used for filtering repeated faults, intermittent faults and environmental condition influences of the intelligent train under the condition that the intelligent train possibly breaks down.
A health management method of a health management device for intelligent train monitoring and operation and maintenance comprises the following steps:
acquiring state data of equipment in an intelligent train running state in real time;
carrying out data slicing processing on the acquired state data according to the data required by the task, and then carrying out filtering,
Noise reduction, normalization, feature extraction and clustering analysis;
and comparing the processed data information with detection threshold information in a pre-established model base, judging the equipment running state in the running process of the intelligent train, and giving early warning to the possible fault condition of the intelligent train in real time.
Preferably, the method further comprises the following steps: and adopting a preset threshold value or a mode of a fingerprint map for the condition that the intelligent train possibly breaks down, carrying out repeated fault filtration, intermittent fault filtration and environmental condition influence filtration, and making an early warning and generating a fault report after the false alarm filtration.
Preferably, the method further comprises the following steps: and performing a fault tree analysis model on the basis of the model library, importing the condition that the intelligent train possibly has faults, and quickly positioning the fault mode of the intelligent train and the reason of the fault.
Preferably, the method for establishing the model base in advance is to integrate the running state data and the environment data of the intelligent train under different faults to form a historical database, and establish the neural network identification model of the intelligent train under different faults according to the historical database.
Based on the technical scheme, the invention has the beneficial effects that: the intelligent train with the health management system can master the state of the intelligent train in real time in the running process, timely process the intelligent train after a fault occurs, know the fault reason and improve the maintenance efficiency. In a technical business scene, the time cost can be saved by quickly troubleshooting; the experience dependence and the number of the maintenance personnel are reduced, and the human resource cost is saved; the production quantity and the replacement quantity of spare parts are reduced, so that the production material cost is saved. In the angle of intelligent operation and maintenance of the whole intelligent train, accidents such as parking due to accidents and cleaning passengers due to accidents can be reduced, and therefore huge social and economic benefits are generated.
In the aspect of urban rail transit, national urban rail transit operation lines at the end of 2018 reach 5761 kilometers, construction lines are 6200 kilometers, 35 cities with subway operation lines are provided, 185 urban rail transit lines are operated, 3245 seats are at stations, the urban rail operation mileage is expected to reach 16265 kilometers in 2023 years, the purchase demand of intelligent subway trains is expected to be about 8 thousands, the calculation is carried out according to 40 ten thousand yuan of a health management system list of intelligent train monitoring and operation, and the estimation of direct market scale is 320 hundred million. Calculated according to the scale of about 30 percent of domestic market share of the health management system, in 3-5 years, the subsequent direct economic output of the project is about 100 million yuan, and the income of local financial tax is billion yuan.
The rail transit line enters a market stage after operation, maintenance and repair after being put into operation, and unlike the construction period, the market after operation, maintenance and repair covers the full life cycle of the rail transit line, which usually lasts for decades or even hundreds of years. According to the industry experience, the rail transit operation and maintenance expenditure generally accounts for 2% -3% of the total investment, the median value is 2.5%, the investment amount per kilometer is conservatively calculated by 5 hundred million yuan, the market scale is about 720 million yuan after the urban rail transit operation and maintenance in 2018 in China, and reaches 2033 million yuan by 2023 years. Possess the health management device, can maintain information-based level through improving intelligent level, operation of subway intelligent train to bring 1/5 ~ 1/3's operation and maintenance cost saving.
Drawings
FIG. 1: a functional block diagram of a health management device for intelligent train monitoring and operation and maintenance;
FIG. 2: a structural block diagram of a vehicle-mounted host in a health management device for intelligent train monitoring and operation and maintenance;
FIG. 3: a hardware functional block diagram of a health management device for intelligent train monitoring and operation and maintenance;
FIG. 4: a flow chart of a health management method for intelligent train monitoring and operation and maintenance is provided.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Example one
As shown in fig. 1 to 4, a health management device for intelligent train monitoring and operation and maintenance comprises: a data acquisition module, a data processing module, an online state detection module, a data communication module and a data storage module, wherein,
the data acquisition module is used for acquiring the state data of the equipment in the running state of the intelligent train in real time;
the data processing module is used for carrying out calculation processing of filtering, noise reduction, normalization, feature extraction and cluster analysis on the acquired state data;
the online state detection module is used for comparing the data information processed by the data processing module with a detection threshold value in a pre-established model base, judging the equipment running state in the running process of the intelligent train and giving an early warning to the possible fault condition of the intelligent train in real time; the service life of the key component is pre-judged in real time through the model library, so that the predictive maintenance is convenient for maintenance personnel,
the data communication module is used for being in communication connection with the intelligent train in real time;
and the data storage module is used for storing and recording the intelligent train running state data, the state characteristic value and the result data.
Further, the data processing module also comprises a preprocessing module for performing data slicing processing on the acquired state data according to the task required data.
Further, the state data information comprises switch electric door states, sensor data and monitoring alarm data of a vehicle door system, a PIS system, a brake system, a traction system, an air conditioning system, a walking part system, a storage battery system and the like.
And further, the system also comprises an autonomous fault diagnosis module which is used for carrying out self-checking and isolation of faults in the system through built-in test BIT.
Further, the method for pre-establishing the model base is that the running state data and the environment data of the intelligent train under different faults are integrated to form a historical database, and a neural network identification model of the intelligent train under different faults is established according to the historical database.
Further, the online state detection module further comprises an early warning filtering module, and the early warning filtering module is used for filtering repeated faults, intermittent faults and environmental condition influences of the intelligent train under the condition that the intelligent train possibly breaks down.
In the running process of the intelligent train, each system of the whole train can generate a large amount of running state data, alarm information and fault data, and centralized storage and management can be performed; monitoring the running control and scheduling of the intelligent train in real time to provide information with more reference value; the intelligent train health management system is different from the traditional TCMS, and needs to process, analyze and judge system-level faults on the whole train layer, eliminate false alarms, generate fault reports and provide support information for maintenance activities; from the perspective of intelligent train operation and maintenance, the health management system realizes the function of on-train prediction, evaluates the residual service life of key components and carries out predictive maintenance.
As shown in fig. 2 and 3, a health management device for intelligent train monitoring and operation and maintenance is modular in hardware, and mainly comprises a main control module (including storage), an MVB communication module, a wireless gateway module, a power module, a switch module, an expansion host module meeting expansion and special signal processing and analysis requirements, and the like, and is mainly used for collecting and processing operation data reported by member systems, performing online operation and reporting, and simultaneously having functions of data and communication management and fault self-checking. 3U standard machine box type layout and plug-in design are adopted, so that the device is convenient to maintain and replace; and a plurality of slots are reserved simultaneously, so that the function of the device in the later period is conveniently expanded.
As shown in fig. 4, a health management method of a health management device for intelligent train monitoring and operation and maintenance includes the following steps:
acquiring state data of equipment in an intelligent train running state in real time;
carrying out data slicing processing on the acquired state data according to task required data, and then carrying out computing processing of filtering, noise reduction, normalization, feature extraction and cluster analysis;
and comparing the processed data information with a detection threshold value in a pre-established model base, judging the equipment running state in the running process of the intelligent train, and giving early warning to the possible fault condition of the intelligent train in real time.
Further, the normalization calculation processing specifically refers to performing normalization processing on variable state data of equipment in the real-time acquisition intelligent train running state to extract fault feature information, wherein the variable state data comprises a temperature variable, a pressure variable and the like, and the normalization formula is as follows:
in the formula, XnormIs a normalized value, XminIs the minimum value of the variable XmaxIs the maximum value of the variable X, the normalization process is carried outNow the original data is scaled equally.
And inputting the extracted fault characteristic information serving as a training sample into a neural network optimized by a genetic algorithm, training the neural network, determining an output node of the neural network by using a cluster analysis method, and acquiring multiple groups of data information.
Further, the method also comprises the following steps: and adopting a preset threshold value or a mode of a fingerprint map for the condition that the intelligent train possibly breaks down, carrying out repeated fault filtration, intermittent fault filtration and environmental condition influence filtration, and making an early warning and generating a fault report after the false alarm filtration.
Further, the method also comprises the following steps: and performing a fault tree analysis model on the basis of the model library, importing the condition that the intelligent train possibly has faults, and quickly positioning the fault mode of the intelligent train and the reason of the fault.
Further, the method for pre-establishing the model base is that the running state data and the environment data of the intelligent train under different faults are integrated to form a historical database, and a neural network identification model of the intelligent train under different faults is established according to the historical database.
The above description is only a preferred embodiment of the health management device for intelligent train monitoring and operation and maintenance disclosed in the present invention, and is not intended to limit the scope of protection of the embodiments of the present specification. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present disclosure should be included in the protection scope of the embodiments of the present disclosure.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are all described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Claims (10)
1. A health management device for intelligent train monitoring and operation and maintenance, comprising: a data acquisition module, a data processing module, an online state detection module, a data communication module and a data storage module, wherein,
the data acquisition module is used for acquiring the state data of the equipment in the running state of the intelligent train in real time;
the data processing module is used for carrying out calculation processing of filtering, noise reduction, normalization, feature extraction and cluster analysis on the acquired state data;
the online state detection module is used for comparing the data information processed by the data processing module with detection threshold information in a pre-established model base, judging the equipment operation state in the intelligent train operation process and giving an early warning on the possible fault condition of the intelligent train in real time;
the data communication module is used for being in communication connection with the intelligent train in real time;
and the data storage module is used for storing and recording the intelligent train running state data, the state characteristic value and the result data.
2. The health management device for intelligent train monitoring and operation and maintenance according to claim 1, wherein the data processing module further comprises a preprocessing module for performing data slicing processing on the acquired status data according to task requirements.
3. The health management device for intelligent train monitoring and operation and maintenance according to claim 1, wherein the state data information comprises switch door states, sensor data and monitoring alarm data of a vehicle door system, a PIS system, a brake system, a traction system, an air conditioning system, a running gear system, a storage battery system and the like.
4. The health management device for intelligent train monitoring and operation and maintenance according to claim 1, further comprising an autonomous fault diagnosis module for performing in-system fault self-checking and isolation through built-in test BIT.
5. The health management device for intelligent train monitoring and operation and maintenance according to claim 1, wherein the method for pre-establishing the model base is to integrate the operation state data and the environment data of the intelligent train under different faults to form a historical database, and construct the neural network identification model of the intelligent train under different faults according to the historical database.
6. The health management device for intelligent train monitoring and operation and maintenance according to claim 1, wherein the online state detection module further comprises an early warning filtering module for performing repeated fault filtering, intermittent fault filtering and environmental condition influence filtering on the condition that the intelligent train may have a fault.
7. A health management method of a health management device for intelligent train monitoring and operation and maintenance based on any one of claims 1 to 6, characterized by comprising the following steps:
acquiring state data of equipment in an intelligent train running state in real time;
carrying out data slicing processing on the acquired state data according to task required data, and then carrying out computing processing of filtering, noise reduction, normalization, feature extraction and cluster analysis;
and comparing the processed data information with detection threshold information in a pre-established model base, judging the equipment running state in the running process of the intelligent train, and giving early warning to the possible fault condition of the intelligent train in real time.
8. The health management method for intelligent train monitoring and operation and maintenance according to claim 7, further comprising the steps of: and adopting a preset threshold value or a mode of a fingerprint map for the condition that the intelligent train possibly breaks down, carrying out repeated fault filtration, intermittent fault filtration and environmental condition influence filtration, and making an early warning and generating a fault report after the false alarm filtration.
9. The health management method for intelligent train monitoring and operation and maintenance according to claim 7, further comprising the steps of: and performing a fault tree analysis model on the basis of the model library, importing the condition that the intelligent train possibly has faults, and quickly positioning the fault mode of the intelligent train and the reason of the fault.
10. The method as claimed in claim 7, wherein the method for building the model base in advance is to integrate the operation state data and the environment data of the intelligent train under different faults to form a historical database, and build the neural network identification model of the intelligent train under different faults according to the historical database.
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| CN115396283A (en) * | 2022-08-18 | 2022-11-25 | 卡斯柯信号有限公司 | Method and device for maintaining and detecting trackside safety platform |
| CN116232945A (en) * | 2023-05-09 | 2023-06-06 | 北京锦源汇智科技有限公司 | Urban rail vehicle PIS system comprehensive performance test method and system |
| CN116232945B (en) * | 2023-05-09 | 2023-07-14 | 北京锦源汇智科技有限公司 | Urban rail vehicle PIS system comprehensive performance test method and system |
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