CN107589695A - A kind of train groups prognostic and health management system - Google Patents
A kind of train groups prognostic and health management system Download PDFInfo
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- CN107589695A CN107589695A CN201710817069.7A CN201710817069A CN107589695A CN 107589695 A CN107589695 A CN 107589695A CN 201710817069 A CN201710817069 A CN 201710817069A CN 107589695 A CN107589695 A CN 107589695A
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Abstract
The invention discloses a kind of train groups prognostic and health management system, including：Vehicle-mounted PHM systems are analyzed and processed to obtain the first train groups diagnostic result using the train groups intellimirror model built to pretreated data；Car data transmission system the first train groups diagnostic result and data are sent to ground PHM systems；Ground PHM systems are analyzed and processed to obtain the second train groups diagnostic result using the ground group intellimirror model built to pretreated first train groups diagnostic result and data, and the first train groups diagnostic result and the second train groups diagnostic result are analyzed, update the second train groups diagnostic result；The system forms train status perception, in real time analysis, real-time communication, precisely intelligent decision, the ability such as execution, improves train groups safety in operation, O＆M economy and intelligent design and manufacture level.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of train groups prognostic and health management system.
Background technology
At present, the O＆M of China's train groups still uses and presses mileage plan maintenance strategy, the operation of train groups and maintenance expense
With remaining high, the only several busy circuits such as Jing-Hu Railway realize profit at present, it is therefore desirable to state-maintenance and predictive dimension
Handguard section, for optimizing organization of production, extending the time between overhauls(TBO), the journey system of repairing is repaiied in Optimal Maintenance content, optimization, lifts overhaul efficiency,
Transformation in a manner of promoting train groups overhaul service.How above-mentioned mesh realized by train groups prognostic and health management system
, it is those skilled in the art's technical issues that need to address.
The content of the invention
It is an object of the invention to provide a kind of train groups prognostic and health management system, the system forms train status
Perception, in real time analysis, real-time communication, precisely intelligent decision, the ability such as execution, improve train groups safety in operation, O＆M economy
Property and intelligent design and manufacture it is horizontal.
In order to solve the above technical problems, the present invention provides a kind of train groups prognostic and health management system, including：
Vehicle-mounted PHM systems, for being divided using the train groups intellimirror model built pretreated data
Analysis handles to obtain the first train groups diagnostic result；
Car ground data transmission system, for the first train groups diagnostic result and the data to be sent into ground PHM
System；
Ground PHM systems, for utilizing the ground group intellimirror model built to the pretreated first row
Car group diagnostic result and the data are analyzed and processed to obtain the second train groups diagnostic result, and first train groups are examined
Disconnected result and the second train groups diagnostic result are analyzed, and update the second train groups diagnostic result；Wherein, institute
State what ground group intellimirror model and the train groups intellimirror model were established using data caused by entity train groups
React the mathematical modeling of train groups system mode, and the prediction transitive relation model with input and output.
Optionally, the system also includes：
Ground sensory perceptual system, for using safety monitoring system, environmental monitoring system collection external system data, and by institute
State external system data and be sent to the ground PHM systems.
Optionally, the vehicle-mounted PHM systems, for using distributed data processing method to predetermined sensor in train groups
The real time data and non-real-time data of collection are pre-processed, using the train groups intellimirror model built to pretreatment after
Data analyzed and processed to obtain failure relevant information, train groups health evaluating information and Performance Evaluation and decision information.
Optionally, the car data transmission system be used for first train groups using satellite/2G/3G/4G networks
Diagnostic result and the real time data are sent to ground PHM systems, using WIFI/ optical fiber/movable storage device by the non-reality
When data be sent to ground PHM systems.
Optionally, the ground PHM systems, including：
Data access module, for receiving the real time data and the non-real-time data, the fortune that provider system is sent
Dimension data, the manufacture of inside plants and design data and l-G simulation test data, union is into the multi-source heterogeneous data of train groups；
Data preprocessing module, for being cleaned, being changed by the data in the data access module；
Data analysis module, for the data analyze and process using the ground intelligent mirror image model built
To the second train groups diagnostic result；Wherein, the second train groups diagnostic result includes failure diagnosis information, fault pre-alarming
Information, fault statistics information, failure predication information, train groups health evaluating information and intelligent decision information；
Analysis result contrast module, for by the first train groups diagnostic result and the second train groups diagnostic result
Cluster analysis is carried out, and root cluster analysis result updates the second train groups diagnostic result.
Optionally, the ground PHM systems also include：
As a result output module, for showing the second train groups diagnostic result after updating and/or being sent out to pre-set user
Send the second train groups diagnostic result after renewal.
Optionally, the ground PHM systems also include：Ground data memory module, for the data prediction mould
Data after block processing carry out on-line storage and/or offline storage；
The vehicle-mounted PHM systems also include：Vehicle-mounted data memory module, for the pretreated real time data and
The non-real-time data carries out on-line storage and/or offline storage.
Optionally, the ground PHM systems also include：
Ground intelligent mirror image model updating block, for being calculated using cognition with big data mining algorithm to described non real-time
Data, the operation/maintenance data, the manufacture and design data and the l-G simulation test data carry out knowledge excavation, and according to knowing
Know Result to be updated the ground intelligent mirror image model.
Optionally, the vehicle-mounted PHM systems also include：
It is reserved to safeguard the network port, for by being wiredly and/or wirelessly connected to industry ethernet to the vehicle-mounted PHM systems
Each equipment carries out single-point maintenance and initial data management in system.
Optionally, the vehicle-mounted PHM systems also include：
Human-computer interaction module, for receiving the information of user's input, and perform and operated corresponding to described information.
A kind of train groups prognostic and health management system provided by the present invention, including：Vehicle-mounted PHM systems utilize
The train groups intellimirror model built is analyzed and processed to obtain the first train groups diagnostic result to pretreated data；
Car data transmission system the first train groups diagnostic result and data are sent to ground PHM systems；Ground PHM systems are using
The ground group intellimirror model of structure is analyzed and processed to obtain to pretreated first train groups diagnostic result and data
Second train groups diagnostic result, and the first train groups diagnostic result and the second train groups diagnostic result are analyzed, more
New second train groups diagnostic result；Ground group intellimirror model and train groups intellimirror model are produced using entity train groups
The mathematical modeling of reaction train groups system mode established of data, and the prediction transitive relation model with input and output.
It can be seen that the system forms train status perception, in real time analysis, real-time communication, precisely intelligent decision, the ability such as execution, improve and arrange
Car group safety in operation, O＆M economy and intelligent design and manufacture are horizontal.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
The structured flowchart for the train groups prognostic and health management system that Fig. 1 is provided by the embodiment of the present invention；
The structural representation for the EMUs prognostic and health management system that Fig. 2 is provided by the embodiment of the present invention.
Embodiment
The core of the present invention is to provide a kind of train groups prognostic and health management system, and the system forms train status
Perception, in real time analysis, real-time communication, precisely intelligent decision, the ability such as execution, improve train groups safety in operation, O＆M economy
Property and intelligent design and manufacture it is horizontal.
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
The train groups prognostic and health management system that the present embodiment provides is to realize state-maintenance and predictive maintenance
The most key core.By utilization of the PHM technologies in train groups, vehicle trouble rate is reduced, enterprise's O＆M cost is reduced, carries
Rise enterprise's capability of fast response, possess repair based on condition of component ability, increase enterprises service type income accounting.Specifically it refer to Fig. 1, Fig. 1
The structured flowchart of the train groups prognostic and health management system provided by the embodiment of the present invention；The system can include：
Vehicle-mounted PHM systems 100, for being carried out using the train groups intellimirror model built to pretreated data
Analyzing and processing obtains the first train groups diagnostic result；
Car ground data transmission system 200, for the first train groups diagnostic result and data to be sent into ground PHM systems；
Ground PHM systems 300, for utilizing the ground group intellimirror model built to pretreated first train
Group diagnostic result and data are analyzed and processed to obtain the second train groups diagnostic result, and by the first train groups diagnostic result and the
Two train groups diagnostic results are analyzed, and update the second train groups diagnostic result；Wherein, ground group intellimirror model and
The mathematical modulo for the reaction train groups system mode that train groups intellimirror model is established using data caused by entity train groups
Type, and the prediction transitive relation model with input and output.
Specifically, vehicle-mounted PHM systems 100 in train by setting sensor so as to obtaining travel condition of vehicle data etc.
Information of vehicles, and in order to which follow-up convenience of calculation pre-processes to the data of acquisition；Then according to the train groups intelligence built
Mirror image model is analyzed and processed to obtain the first train groups diagnostic result to pretreated data.The present embodiment does not limit tool
The content of first train groups diagnostic result of body, for example, can include failure relevant information, train groups health evaluating information and
Performance Evaluation and decision information.The present embodiment is not also defined to the type and quantity of the data of acquisition.
Due to the limitation of train real space etc., in order to improve vehicle-mounted PHM systems on the basis of development hardware condition is unable to
100 computational efficiencies of uniting and calculating accuracy.Preferably, vehicle-mounted PHM systems, for using distributed data processing method to train
The real time data and non-real-time data that predetermined sensor gathers in group are pre-processed, and utilize the train groups intellimirror built
Model is analyzed and processed to obtain failure relevant information, train groups health evaluating information and performance and commented to pretreated data
Estimate and decision information.
Specifically, due to by the way of distributed data processing, therefore can be layered and be analyzed；Can be by train
Group intellimirror model is divided into two parts, and one kind is Vehicular intelligent mirror image model, and another kind is vehicle intelligent mirror image model；It is logical
Cross transparent management and analysis of the intellimirror model realization of vehicle-mounted PHM systems to train status, including fault diagnosis, failure
Early warning, health evaluating, performance prediction and intelligent decision, and diagnostic result, assessment result, prediction result and decision information are fed back
To ground PHM systems, so as to reduce the operation of ground PHM systems burden.Corresponding vehicle-mounted PHM systems 100 can specifically include：
The vehicle grade PHM subsystems and train groups level PHM subsystems of predetermined quantity；Wherein,
The vehicle grade PHM subsystems include：
Vehicle data AM access module, for receiving the vehicle data that the first predetermined sensor is sent in vehicle；
Vehicle data analysis module, for being divided using the Vehicular intelligent mirror image model built the vehicle data
Analysis is handled, and obtains vehicle analysis result；The vehicle analysis result is commented including failure relevant information, status information and vehicle health
Estimate information；Wherein, the Vehicular intelligent mirror image model is the reaction vehicle-state established using data caused by entity vehicle
Mathematical modeling, and with input and output prediction transitive relation model and critical component between incidence relation；
Vehicle sending module, for the vehicle analysis result to be sent into train groups data access module；
The train groups level PHM subsystems include：
Train groups data access module, for receiving the train groups data and institute that the second predetermined sensor is sent in train groups
State vehicle analysis result；
Train groups data analysis module, for using the vehicle intelligent mirror image model that has built to the train groups data and
The vehicle analysis result is analyzed and processed, and obtains train groups analysis result (i.e. the second train groups diagnostic result)；Described
Two train groups diagnostic results include failure relevant information, train groups health evaluating information and Performance Evaluation and decision information；Its
In, the ground intelligent mirror image model is the reaction train groups system mode established using data caused by entity train groups
Mathematical modeling, and the prediction transitive relation model with input and output.
Specifically, the present embodiment does not limit the particular number of vehicle grade PHM subsystems, it can be every in train groups
Vehicle grade PHM subsystems are provided with one vehicle or each two vehicle (i.e. every two sections compartment) sets a car
Level PHM subsystems.User can be selected according to actual conditions.Preferably, can be in each vehicle in train groups
Vehicle grade PHM subsystems 100 are provided with, the amount of calculation of each vehicle grade PHM subsystems can be so reduced, so exist
The accuracy of calculating can be improved on the hardware of same disposal ability.
The type and quantity of the first predetermined sensor and the second predetermined sensor are not limited in the present embodiment, it can root
It is configured according to the calculating demand of Vehicular intelligent mirror image model and vehicle intelligent mirror image model.Wherein the first predetermined sensor is general
To vehicle corresponding to data it is related, i.e., correspond to the data such as motion state for collection vehicle, the second predetermined sensor typically with row
Data corresponding to car group are related, i.e., correspond to the data such as motion state for gathering train groups vehicle.Such as first predetermined sensor
Speed, acceleration, pressure, voltage, electric current, temperature etc. can be included.Second predetermined sensor is in bogie system and train
Sensor set in group body system etc..Further, in order to reduce sensor arrangement quantity, reduction expense and space requirement,
System weight is reduced, reduces wiring, improves data syn-chronization.Preferably, compound sensing can be selected when selecting sensor
Device.And in order to improve system reliability, reduce the appearance of wrong report situation, it is preferred that make possess mutual check between different sensors
Function.
Further for the availability for improving data, and the speed of subsequent analysis processing.Preferably, vehicle data accesses
Module, including：Vehicle receiver unit, for receiving the vehicle data that the first predetermined sensor is sent in vehicle；Vehicle data is pre-
Processing unit, for being merged, being cleaned to vehicle data and feature extraction；Train groups data access module, including：Train groups
Receiving unit, for receiving the train groups data and vehicle analysis result that the second predetermined sensor is sent in train groups；Train groups
Data pre-processing unit, for being merged, being cleaned to train groups data and feature extraction.Specifically, i.e. the present embodiment passes through
Data are handled, can remove hash, invalid data, and the data that subsequently use will not met enter row format and turn
Change, Conversion of measurement unit etc., and realize the fusion of data, extract data characteristics.
Specifically, the content that the present embodiment is not included to vehicle analysis result and train groups analysis result limits
Fixed, it can have one according to the Vehicular intelligent mirror image model and the difference of vehicle intelligent mirror image model and input data of reality
A little differences.Such as vehicle analysis result includes failure relevant information, status information and vehicle health and assesses information.And failure is related
Information can include failure diagnosis information, fault pre-alarming information, failure predication information again.Train groups analysis result includes failure phase
Close information, train groups health evaluating information and Performance Evaluation and decision information.And failure relevant information can include failure again
Diagnostic message, fault pre-alarming information, failure predication information.Optionally, vehicle data analysis module is specially to utilize what is built
Vehicle intelligent mirror image model analyzes and processes to train groups data and vehicle analysis result, obtains the mould of train groups analysis result
Block；Wherein, vehicle intelligent mirror image model includes train level fault diagnosis algorithm, train level fault pre-alarming algorithm, train level health
Assessment algorithm, train level failure prediction algorithm, train level intelligent decision algorithm and Performance Evaluation algorithm.So as to realize to train groups
The analysis of data and vehicle analysis result.
Vehicular intelligent mirror image model and vehicle intelligent in vehicle data analysis module and train groups data analysis module
Mirror image model is employed based on the means such as information physical system technology, big data technology, the vehicle-mounted Fault diagnosis expert system of tradition
Unite poor real, the problem such as transplantability is poor, function is fixed, analysis efficiency is low, realized the transparent management to train status
With analysis.Exploitation and renewal cost that vehicle mounted failure prognostics and health management system corresponds to software can be saved；Improve vehicle-mounted event
Hinder the operational efficiency of prognostics and health management system.For example, the present embodiment is by building vehicle intelligent mirror image model, it is empty in information
Between build the Complete Mappings of vehicle operation, realize the transparent management to train status and analysis, including fault diagnosis, failure are pre-
Police, health evaluating, performance prediction and intelligent decision, and diagnostic result, assessment result, prediction result and decision information are fed back to
Ground prognostic and health management system.
Wherein, the purpose of vehicle intelligent mirror image model is the mapping in information architecture vehicle, makes the information quilt of vehicle
Quantify and transparence, its effect include：
(1) to the management of vehicle real-time running state information, possess succinct and comprehensive vehicle information bank in orbit, and
Being capable of quick-searching state, feature, data；
(2) quantization to vehicle real-time running state is realized, the transitive relation for possessing input and output；
(3) data foundation and the incidence relation between management system and critical component are utilized.
Vehicle of the structure of Vehicular intelligent mirror image model and vehicle intelligent mirror image model based on information physical system technology exists
Rail running state information storehouse is established；Vehicle real-time running state input and output TRANSFER MODEL is established and the car based on data-driven
Association relation model between system and critical component is established.
Further, optionally, train groups level PHM subsystems can be configured by APP forms, i.e., arrange and arrange in top layer
APP corresponding to car group level PHM subsystems, mainly by vehicle grade PHM systems APP, train level fault diagnosis algorithm, the event of train level
Hinder the six part groups such as warning algorithm, train level health evaluating algorithm, train level failure prediction algorithm, train level intelligent decision algorithm
Into mainly to vehicle PHM results, the train PHM handling processes template based on solidification carries out integrated treatment and obtains train PHM knots
Fruit.Useful supplement when train level PHM system APP integrated intelligent processing center feedback informations are handled as train PHM simultaneously.I.e.
Software frame corresponding to train groups level PHM subsystems can mainly include algorithm/modeling tool storehouse, system primary climate, vehicle-mounted PHM
Tetra- software systems APP, system UI parts.
Wherein, algorithmic tool storehouse provides the involved number of vehicle-mounted train groups PHM applications and adopts equipment control, data file pipe
The key algorithms such as reason, data pre-processing, feature extraction, fault diagnosis, fault pre-alarming, assessment of failure, failure trend prediction or mould
The master tool storehouse of type.
System primary climate mainly by Run Time management, task scheduling and load balancing, algorithmic tool storehouse it is integrated with calling,
And the part such as rapid modeling assay surface is formed.
Vehicle-mounted train groups PHM software systems APP, the as cured algorithm for meeting vehicle-mounted train groups PHM processing functions
Flow template, it is broadly divided into three levels：Basal layer is parts level PHM modules As PP；Intermediate layer be by affiliated parts and
The subsystem irrespective of size PHM unit APs P that PHM modules As PP is formed；Top layer is train level PHM systems APP.
Software function：Mainly realize that the data pre-processing of each level, feature extraction, fault diagnosis, fault pre-alarming, health are commented
Estimate, the function such as failure predication.
The present embodiment is not defined to specific software runtime environment.Such as operating system can be Red Hat
Linux 9.0, the operating system of system service agency is Red Hat Linux 9.0.Corresponding software function can be supported pair
Acquisition hardware carries out monitoring running state, and flexibly sets number to adopt parameter configuration and trigger condition rule.In MongoDB numbers
According to distributed storage is established on the basis of storehouse, it disclosure satisfy that Microsecond grade response and support to be more than the fast literary sketch of 100kHz frequency data
Enter, Lossless Compression, data backup and the requirement of batch processing.Support to carry out Service's to the algorithmic tool bag module of encapsulation
Mode is called.Data processing precision ensures 5 effective digitals after decimal point, and data analysis algorithm module should ensure that same algorithm mould
Block supports multiple parallel operations.Algoritic module is developed and encapsulated using algorithms of increasing income such as Python and R, server
WEBSERVER uses java programming languages.In order to meet hardware and software requirement, optionally, vehicle grade PHM subsystems use
PXI platforms；Train groups level PHM subsystems use cRIO platforms.
Not to the data transfer of the hardware such as data transfer, sensor and modules between modules in the present embodiment
And the concrete mode of the data transfer between module and ambient systems is defined.It can be selected according to actual conditions.
Vehicle-mounted train groups PHM network systems use industry ethernet topological structure in the present embodiment, to transmit vehicle fortune
Row state, logout, initial data etc..There are the vehicle-mounted PHM systems of a set of train level (corresponding train groups level PHM subsystems per train
System), including it is Ethernet switch (ECNN), storage hardware (SSDU), processing hardware (CPHMU), viewing hardware (DISU), logical
Believe interface (COMM).
1) wherein perceive and carried out data transmission between hardware (SENS) and acquisition hardware (DAQU) by cable.
2) acquisition hardware (DAQU), storage hardware (SSDU), processing hardware (CPHMU) are carried out mutual by PXI buses
Data interaction.
3) brak control unit (EBCU)/traction control unit (TCU) enters line number by Ethernet and vehicle-mounted PHM units
According to interaction.
4) subsystem irrespective of size PHM units carry out data interaction by Ethernet and vehicle-mounted PHM units.
5) communication interface (COMM) of vehicle-mounted PHM units carries out data friendship by HDMI and viewing hardware (DISU)
Mutually.
Data transmission system can be realized and ground vehicle-mounted PHM systems (or being vehicle-mounted train groups PHM systems) by car
Face PHM systems (or being train groups prognostic and health management ground intelligent processing system) data exchange.In addition, vehicle-mounted row
Car group PHM systems are reserved to safeguard the network port, by wired or wireless mode, can own to being connected to industry ethernet
Equipment realizes single-point maintenance, initial data management etc. so as to improve the stability of system and reliability.Preferably, train groups
Level PHM subsystems can also include：It is reserved to safeguard the network port, for by being wiredly and/or wirelessly connected to industry ethernet
Single-point maintenance and initial data management are carried out to each equipment in vehicle grade PHM subsystems and train groups level PHM subsystems.
Further, in order to realize storage to data, quick search and management and call.Vehicle grade in the present embodiment
PHM subsystems can also include：Vehicle data memory module, for carrying out on-line storage and offline storage to vehicle data；Row
Car group level PHM subsystems can also include：Train groups data memory module, for entering to train groups data and vehicle analysis result
Row on-line storage and/or offline storage.
Specifically, by two kinds of forms of on-line storage and offline storage, efficiency data query, enough pair of and can be improved
Storage resource is reasonably utilized.Further, because a data part is stored in vehicle data memory module, part storage
In train groups data memory module, i.e., stored by data staging, reduce train level main frame memory requirement, reduce loss of data wind
Danger.And classification storage can also be easy to data progression process, reduce train level host process data, strengthen main frame integrated treatment energy
Power.And then train data localization process can be realized, carry out data processing as far as possible ON TRAINS, data pass with reducing car
Throughput rate, improve system response time.
Further, train groups level PHM subsystems can also include：
Train groups result output module, for showing train groups analysis result and/or sending train component to pre-set user
Analyse result.
Specifically, the train groups result output module can carry out train groups by output equipments such as the display screens in train
The display or output of analysis result.Analysis result further can also be sent to pre-set user.The present embodiment does not limit default
The quantity of user and specific object, user can be set and be changed according to the actual requirements.Such as pre-set user here can
To be main engine plants/manufacturer and train groups prognostic and health management ground intelligent processing system.
The present embodiment does not limit the form that train groups analysis result is specifically sent to pre-set user, such as can be to pre-
If the mailbox that user reserves, mobile phone etc. send analysis result, further for improve user obtain the intelligent of data can be with
The intelligent Service Platform in the form of platform carries APP is built, realizes status display (visualization technique can be utilized to realize), failure
The functions such as early warning, fault diagnosis, assessment of failure, failure trend prediction, O＆M decision-making, and result is pushed to vehicle user and master
Machine factory, supplier.
Further, in order to improve the accuracy of intellimirror model and reliability, train groups data analysis module can be with
Including：
Updating block, for being carried out according to feedback data to vehicle intelligent mirror image model and/or Vehicular intelligent mirror image model
Renewal.Specifically, vehicle intelligent mirror image model and Vehicular intelligent mirror image model can be all updated.
Further, in order to improve the convenience that user is controlled vehicle-mounted train groups prognostic and health management system, arrange
Car group level PHM subsystems can also include：
Human-computer interaction module, for receiving the information of user's input, and operated corresponding to execution information.Specifically, user
The inquiry, the inquiry of sensor gathered data etc. of analysis result can be carried out by human-computer interaction module, is easy to user to vehicle-mounted
The control of train groups prognostic and health management system.
The overall architecture of above-mentioned vehicle-mounted PHM systems can be illustrated below：Vehicle-mounted PHM system hardwares are divided into two layers
It is secondary：Basal layer is vehicle grade layer PHM system hardwares；Top layer is train level PHM system hardwares.By taking 8 marshalling vehicles as an example, each car
The PHM system hardwares (corresponding to vehicle grade PHM subsystems) of a vehicle grade are arranged, are completed from parts → subsystem → car
Perception → collection → storage → processing function；Then PHM system hardware (the i.e. respective columns of a train level are arranged per train
Car group level PHM subsystems), storage → processing → display function of vehicle → train is completed, while undertake external information and send
With receive capabilities.Vehicle grade PHM system hardwares according to " perception → collection → storage → processing " flow configuration module；Train level
PHM system hardwares according to " perception → collection → storage → processing → display/communication " flow configuration module.
1) status information after processing, fault message are linked into train level storage hardware by vehicle grade PHM subsystems first,
Data source as train level processing hardware.
2) train level storage hardware is used for status data, the fault data of train car according to demand.
3) train level processing hardware is used for integrated treatment vehicle grade PHM system results.
4) train level communication hardware undertakes PERCOM peripheral communication and the information exchange function of the vehicle-mounted PHM systems of EMUs.
5) train level viewing hardware then carries out the display of the vehicle-mounted PHM systems result of EMUs.
The software systems of train groups level PHM subsystems could be arranged to APP, i.e., according to " parts → subsystem → vehicle
The PHM software systems APP of each level are respectively configured in the progressive relationship of → train ", and parts level, subsystem irrespective of size, vehicle grade are soft
Part system APP includes six data pre-processing, feature extraction, fault diagnosis, fault pre-alarming, health evaluating, failure predication work(
Energy module, train level software systems APP then include fault diagnosis, fault pre-alarming, health evaluating, failure predication, intelligent decision etc.
Five functional modules.
Vehicle-mounted train groups prognostic and health management system can be divided into two parts of hardware and software：
1) in order to improve the operational efficiency of vehicle-mounted train groups PHM systems, using decentralization as guiding theory, vehicle-mounted PHM
System hardware is divided into two levels：Basal layer is subsystem irrespective of size PHM system hardwares；Top layer is the vehicle-mounted PHM system hardwares of train level.
Vehicle grade PHM system hardwares according to " perception → processing → storage " flow configuration module；The vehicle-mounted PHM system hardwares of train level are pressed
According to the flow configuration module of " perception → processing → storage → display/communication ".By taking 8 marshalling vehicles as an example, each car is as needed
Vehicle grade PHM system hardwares are arranged, a train level PHM system hardware is arranged per train.
2) train level PHM system softwares are then comprising algorithm/modeling tool storehouse, system primary climate, vehicle-mounted PHM software systems
Four parts such as APP, system UI.Wherein vehicle-mounted PHM software systems APP is then according to the progressive of " parts → subsystem → train "
The PHM software systems APP of each level are respectively configured in relation, and parts level, subsystem level software APP before data including locating
Six reason, feature extraction, fault diagnosis, fault pre-alarming, health evaluating, failure predication functional modules, train level software systems APP
Then include five functional modules such as fault diagnosis, fault pre-alarming, health evaluating, failure predication, intelligent decision.
Wherein, subsystem irrespective of size PHM system hardwares mainly perceive hardware, subsystem irrespective of size acquisition hardware, subsystem by subsystem irrespective of size
Four irrespective of size storage hardware, subsystem irrespective of size processing hardware parts form.The vehicle-mounted PHM system hardwares of train level are mainly by subsystem
PHM unit hardwares, train level storage hardware, train level processing hardware, train level viewing hardware, train level communication hardware composition.
In order to ensure that hardware performance requirements corresponding to precision of analysis can be as follows：1) system reinforcement, resistance to shock meet fortune
With requiring；2) radiated using conduction cooling mode, it is minimum without fan, system noise；3) closed structure is used, to high humidity, high dust
Adaptive capacity to environment greatly increases；Hardware capability requirement can be as follows：1) main frame is gathered：Pass through integrated Solid State hard disk, digital I/
O, the key hardware modules such as A/D, bus communication controller, wireless module and GPS module are scanned, are realized to vehicle bus number
According to, the collection of analog quantity, discrete magnitude.2) adaptation and conditioning：According to the adaptation of the actual disposition of sensor and test data with
Interface testing demand for control, adaptation and conditioning module are developed, realize the adaptation conditioning, TCH test channel control and biography of multi-signal
The functions such as sensor signal amplification.3) power supply：According to EMUs actual power situation, Selection and Design DC power supplier and friendship turn straight
Adapter, and it is equipped with voltage-stabilized power supply.4) cable and air plug：It is simultaneous with it depending on feelings development according to the sensor interface of vehicle-mounted PHM systems
The cable air plug of appearance, meets test interface connection request.Hardware configuration requirement can be as follows：1) voltage, temperature, acceleration are configured
More measurement interfaces such as degree, displacement, strain, have digital quantity input and output channel；Support IEPE signal conditions.2) 24 resolutions
Rate, 51.2kS/s sample rates, anti-aliasing filter.3) security based on WEP/WPA/WPA2/802.11X, compatible IEEE
802.11 a/b/g, gigabit ethernet interface；4) the real-time positioning navigation module of the standard GPS/ Big Dippeves；5) Intel processor, it is non-easily
The property lost storage, FPGA High-speed Controls, Real-Time embedded OSs, possess mobile hard disk interface.
Software section, operating system can be Red Hat Linux 9.0, and the operating system of system service agency is Red
Hat Linux 9.0.Corresponding software function can be supported to carry out monitoring running state to acquisition hardware, and flexibly set number
Adopt parameter configuration and trigger condition rule.Distributed storage is established on the basis of MongoDB databases, disclosure satisfy that microsecond
Level response and support are more than 100kHz frequency data no write de-lay, Lossless Compression, data backup and the requirement of batch processing.Branch
The mode for holding the algorithmic tool bag module progress Service to encapsulation is called.Data processing precision ensure decimal point after 5 effectively
Numeral, data analysis algorithm module should ensure that same algoritic module supports multiple parallel operations.Algoritic module uses Python
Developed and encapsulated with algorithms of increasing income such as R, server WEBSERVER uses java programming languages.
The present embodiment with not limiting car 200 specific transmission form of data transmission system.Such as can be it is limited or
It is wireless, can is 2G/3G/4G/WIFI etc. in wireless, user can be selected according to actual conditions.Optionally, car ground number
It is used to the first train groups diagnostic result and real time data are sent into ground using satellite/2G/3G/4G networks according to Transmission system
PHM systems, non-real-time data is sent to ground PHM systems using WIFI/ optical fiber/movable storage device.
Specifically, the information Perception part in the vehicle-mounted PHM systems of EMUs can gather train critical component, subsystem,
The physical quantitys such as the vibration acceleration of vehicle etc., temperature, voltage, electric current, these data belong to magnanimity isomeric data, to data transfer
Requirement of real-time it is not high, when can be arrived at a station by vehicle, be transmitted by way of WIFI or copy.These data are passed through
It is transformed into the knowledge information for including car status information, fault message, decision information etc. after vehicle-mounted PHM systems processing, these numbers
According to needing to be real-time transmitted to ground PHM systems by modes such as 3G/4G networks, satellites, so as to ground PHM systems carry out decision-making and
Scheduling.
Ground group smart mirror of the ground PHM systems 300 by the data in the train of reception using structure in the present embodiment
As model is analyzed these data, progress can obtain analysis result, and by by the first train groups diagnostic result and
Two train groups diagnostic results are analyzed, and improve the accuracy of final diagnostic result.Optionally, ground PHM systems 300
It can include：
Data access module, for receiving real-time data and non-real-time data, operation/maintenance data, the work of provider system transmission
Manufacture and design data and l-G simulation test data inside factory, union is into the multi-source heterogeneous data of train groups；
Data preprocessing module, for being cleaned, being changed by the data in data access module；
Data analysis module, for being analyzed and processed to obtain to data using the ground intelligent mirror image model built
Two train groups diagnostic results；Wherein, the second train groups diagnostic result includes failure diagnosis information, fault pre-alarming information, failure system
Count information, failure predication information, train groups health evaluating information and intelligent decision information；
Analysis result contrast module, for the first train groups diagnostic result and the second train groups diagnostic result to be clustered
Analysis, and root cluster analysis result updates the second train groups diagnostic result.
Currently transported specifically, real time data can include the train status data train that sensor gathers in real time in train groups
Market condition data etc., non-real-time data can include prognostic and health management data that vehicle-mounted PHM system-computeds obtain etc..
The data preprocessing module data received that achieve a butt joint are cleaned and changed.I.e. the present embodiment passes through data preprocessing module pair
Hash in the data of acquisition, invalid data etc. are removed, and will not met the data that subsequently use and entered row format and turn
Change, Conversion of measurement unit etc..Therefore data pre-processing unit can improve the availability of data, and the speed of subsequent analysis processing.
Specifically, the content that the present embodiment is not included to the second train groups diagnostic result is defined, it is according to reality
The ground intelligent mirror image model on border and the difference of input data, there can be some differences.Such as the second train groups diagnostic result
Failure relevant information, train groups health evaluating information and intelligent decision information can be included.And failure relevant information again can be with
Include failure diagnosis information, fault pre-alarming information, fault statistics information, failure predication information.
Ground intelligent mirror image model in data analysis module is employed based on information physical system technology, big data technology
Etc. means, the problem of traditional ground data analysis center function is limited, computational load is big, poor expandability, Jin Erda are overcome
Analysis efficiency height, result relevance are big, application scalability is strong and other effects is arrived, so as to effectively support the mesh of vehicle cluster management
's.Wherein, it is negative to solve traditional ground fault diagnosis expert system calculating by building ground intelligent mirror image model for the present embodiment
Carry the problems such as big, poor real, function are fixed, are portable poor；The present embodiment can save train groups failure predication and health
Manage the extension of ground intelligent processing system software and update cost and improve its operational efficiency.
Specifically, ground intelligent mirror image model is the reaction train system established using data caused by entity train groups
The mathematical modeling of system state, and the prediction transitive relation model with input and output.I.e. ground intelligent mirror image model utilizes reaction
Physical system " invisible factor " is predicted the process with transparence by the mathematical modeling of train groups system mode, if itself and car
The mirror image of train fault can be realized by carrying during the associated working of the vehicle intelligent mirror image model in prognostic and health management system
Simulation and the information transfer of dependent failure instruction.
Ground intelligent mirror image model can carry out the management of symmetry to train groups physical system, i.e., in information networking space
The mapping of middle structure physical system, makes the information of physical system be quantized and transparence, after structure completes this mapping, largely
Computing, emulation and information exchange and can quickly be carried out in cyberspace, caused result of calculation can be with guiding vehicle system
Operation.
It can realize the management to train groups status information first：I.e. when the operating mode or health status of train groups change
During change, the snapshot of self recording apparatus new state data, and stick new state tag and stored, so as to establish train groups collection
Group, bicycle, the information bank in orbit of critical component, and being capable of quick-searching state, feature, data.
Secondly the mirror image model mutually mapped with train groups system can be established：Utilize data caused by train group object
The mathematical modeling quantified to train groups state is established, and forms the prediction transitive relation model of input and output, so as to arrange
The invisible factor of car group is predicted and transparence.
I.e. optional, data analysis module can include：
Data processing unit, for real time data to be handled using stream data processing method to obtain the first data,
Non-real-time data, operation/maintenance data, manufacture and design data and l-G simulation test data are carried out using batch data processing method
Processing obtains the second data.
Ground intelligent mirror image model analytic unit, for using the first data and the second data as ground intelligent mirror image model
Input, analyzed and processed using ground intelligent mirror image model, obtain the second train groups diagnostic result.
Specifically, the present embodiment does not limit the tool of specific stream data processing method and batch data processing method
Body process.It can be determined according to the actual requirements.For example, stream data processing can include data reconstruction and description, model
Storehouse, method base and Performance Analysis and assessment.Wherein, data reconstruction can include data characteristics, probability analysis with description
And discrete expression.Model library can include data-driven model, mechanism model, mixed model and simulation model.Method base
Customization optimization aim can be included, define restrictive condition, selection optimized algorithm and Optimal Decision-making is provided.Performance Analysis with
Single index analysis and evaluation, multidimensional index analysis and project evaluation chain can be included by assessing.Batch data processing can include selecting
Clustering parameter, Clustering Model, feature compares between signature analysis and cluster in cluster.Wherein, selecting clustering parameter can include
Data characteristics, probability distribution and parameter selection.Clustering Model can include Clustering Tendency analysis, number of clusters is assessed, cluster
Algorithm and clustering result quality checking.In cluster signature analysis can include correlation analysis, status predication, trend analysis and from
Scatterplot recognizes.Feature can relatively be commented including otherness assessment, pattern-recognition, root cause analysis and influence degree between cluster
Estimate.
Data analysis module can realize integral data resource, the Intelligent treatment center of integration construct, there is provided at data
The functions such as reason, data analysis, data mining.
Specifically, the ground intelligent mirror image model in the present embodiment can also realize that cluster analysis is excavated with big data：I.e.
Cluster analysis can be carried out to vehicle intelligent mirror image model according to the similitude of state parameter, then can be in different clusters
Mirror image model carries out horizontal and vertical comparison.And the analysis result of data analysis module is updated by comparative result,
So as to improve the precision of analysis of data analysis module and reliability.
Further, in order to improve the available convenience of analysis result, ground PHM systems can also include：
As a result output module, for showing the second train groups diagnostic result and/or sending the second train groups to pre-set user
Diagnostic result.
Specifically, the result output module can carry out second by output equipments such as the display screens in the PHM systems of ground
The display or output of train groups diagnostic result.The second train groups diagnostic result further can also be sent to pre-set user.This reality
Apply example and do not limit the quantity of pre-set user and specific object, user can be set and be changed according to the actual requirements.Such as
Here pre-set user can be main engine plants/manufacturer.
The present embodiment does not limit the form that the second train groups diagnostic result is specifically sent to pre-set user, such as can be with
The mailbox, mobile phone etc. reserved to pre-set user sends analysis result, further for intelligent the going back for improving user's acquisition data
The intelligent Service Platform in the form of platform carries APP can be built, realize status display (can utilize visualization technique realize),
The functions such as fault pre-alarming, fault diagnosis, assessment of failure, failure trend prediction, fault statistics, O＆M decision-making, and result is pushed
To vehicle user and main engine plants, supplier.
Further, in order to improve the accuracy of ground intelligent mirror image model and reliability；Ground PHM systems can also wrap
Include：
Ground intelligent mirror image model updating block, for being calculated using cognition with big data mining algorithm to non real-time number
Knowledge excavation is carried out according to, operation/maintenance data, manufacture and design data and l-G simulation test data, and according to knowledge excavation result over the ground
Face intellimirror model is updated.
Specifically, additionally can to train groups run history big data carry out knowledge excavation, as between event because
Fruit relation, sequential relationship, different parameters are to quantitative and qualitative description of train groups failure etc., to update ground intelligent mirror image model
Parser and failure prediction algorithm, realize knowledge autonomous generation, using with share.So as to improve ground intelligent
The accuracy and reliability of mirror image model, ensure that the reliability of analysis result.
Further, in order to realize storage to data, quick search and management and call.The ground in this further implementation
Face PHM systems can also include：
Data memory module, for carrying out on-line storage and/or offline storage to data.
Specifically, the data that data memory module is exported by data access module carry out on-line storage and offline storage
Two kinds of forms, efficiency data query can be improved, and can is enough reasonably to be utilized to storage resource.
Based on above-mentioned any embodiment, train groups prognostic and health management system provided in an embodiment of the present invention, energy
Enough implement function such as：First, vehicle-mounted PHM systems are monitored in real time to train operation state, the failure being likely to occur is carried out
Diagnosis, early warning and prediction, avoiding, which influences vehicle significant problem safe for operation, occurs, so as to improve train operational safety.Two
It is that train groups are changed from condition monitoring to health control, realizes maintenance or condition maintenarnce and autonomous type guarantee based on state,
Use and support cost are reduced, improves train groups O＆M economy and capability of fast response, value is created for user.Third, train
Group manufacturing enterprise is using PHM Technology Integrations and optimization O＆M Service Source, by providing state-maintenance and prediction to operation department
Property safeguard service, so as to creating service type take in, strengthen sustainable profitability.Meanwhile by state-maintenance and predictive maintenance
As the core of enterprises service brand, improve customer satisfaction, Branding influences and public praise.Fourth, by EMUs PHM systems
The result of decision feed back to design and manufacture end, for it is common in O＆M the problem of, utilize intellectual analysis means carry out root primordium
Retrospect, finally it is improved from design and manufacture link.Realize from " intelligent O＆M " to " intelligent design " and " intelligence manufacture "
Connected effect.
Based on above-described embodiment, ground PHM systems can also include：
Ground sensory perceptual system, for gathering external system data using safety monitoring system, environmental monitoring system, and will be outer
Portion's system data is sent to ground PHM systems.Wherein, safety monitoring system can be specifically 5T safety monitoring systems.
Specifically, the present embodiment considers ground sensory perceptual system, by integrating existing safety monitoring system, environmental monitoring system
The external system data such as system so that ground PHM system datas source is more abundant, therefore can be obtained by ground mirror image model
The relatively reliable property of analysis result (i.e. the second train groups diagnostic result), accurate.By the analysis result of ground sensory perceptual system with
The result of vehicle-mounted PHM systems is contrasted, and improves the accuracy of diagnostic result.
Specifically, refer to Fig. 2, Fig. 2 illustrates above-mentioned train groups prognostic and health management by example of EMUs
System concrete composition form.
Based on above-mentioned any embodiment, train groups prognostic and health management system provided in an embodiment of the present invention should
Kind of train groups PHM systems are by vehicle-mounted PHM systems, the car ground key element such as data transmission system, ground sensory perceptual system, ground PHM systems
Form, form vehicle-state perception, in real time analysis, distributed treatment, real-time communication, precisely intelligent decision, the ability such as execution, carry
High vehicle safety in operation, O＆M economy and intelligent design and manufacture are horizontal.
Each embodiment is described by the way of progressive in specification, and what each embodiment stressed is and other realities
Apply the difference of example, between each embodiment identical similar portion mutually referring to.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, the composition and step of each example are generally described according to function in the above description.These
Function is performed with hardware or software mode actually, application-specific and design constraint depending on technical scheme.Specialty
Technical staff can realize described function using distinct methods to each specific application, but this realization should not
Think beyond the scope of this invention.
Directly it can be held with reference to the step of method or algorithm that the embodiments described herein describes with hardware, processor
Capable software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Train groups prognostic and health management system provided by the present invention is described in detail above.Herein
Apply specific case to be set forth the principle and embodiment of the present invention, the explanation of above example is only intended to help
Understand the method and its core concept of the present invention.It should be pointed out that for those skilled in the art, do not taking off
On the premise of from the principle of the invention, some improvement and modification can also be carried out to the present invention, these are improved and modification also falls into this
In invention scope of the claims.
Claims (10)
- A kind of 1. train groups prognostic and health management system, it is characterised in that including：Vehicle-mounted PHM systems, for being carried out using the train groups intellimirror model built to pretreated data at analysis Reason obtains the first train groups diagnostic result；Car ground data transmission system, for the first train groups diagnostic result and the data to be sent into ground PHM systems；Ground PHM systems, for utilizing the ground group intellimirror model built to pretreated first train groups Diagnostic result and the data are analyzed and processed to obtain the second train groups diagnostic result, and first train groups are diagnosed and tied Fruit and the second train groups diagnostic result are analyzed, and update the second train groups diagnostic result；Wherein, describedly Face group intellimirror model and the train groups intellimirror model utilize the reaction that data caused by entity train groups are established The mathematical modeling of train groups system mode, and the prediction transitive relation model with input and output.
- 2. train groups prognostic and health management system according to claim 1, it is characterised in that also include：Ground sensory perceptual system, for gathering external system data using safety monitoring system, environmental monitoring system, and will be described outer Portion's system data is sent to the ground PHM systems.
- 3. train groups prognostic and health management system according to claim 2, it is characterised in that the vehicle-mounted PHM System, for the real time data and non-real-time data gathered using distributed data processing method to predetermined sensor in train groups Pre-processed, pretreated data are analyzed and processed to obtain failure using the train groups intellimirror model built Relevant information, train groups health evaluating information and Performance Evaluation and decision information.
- 4. train groups prognostic and health management system according to claim 3, it is characterised in that car ground data Transmission system is used to be sent to the first train groups diagnostic result and the real time data using satellite/2G/3G/4G networks Ground PHM systems, the non-real-time data is sent to ground PHM systems using WIFI/ optical fiber/movable storage device.
- 5. train groups prognostic and health management system according to claim 4, it is characterised in that the ground PHM System, including：Data access module, for receiving the real time data and the non-real-time data, the O＆M number that provider system is sent According to, the manufacture of inside plants and design data and l-G simulation test data, union is into the multi-source heterogeneous data of train groups；Data preprocessing module, for being cleaned, being changed by the data in the data access module；Data analysis module, for being analyzed and processed to obtain institute to the data using the ground intelligent mirror image model built State the second train groups diagnostic result；Wherein, the second train groups diagnostic result includes failure diagnosis information, fault pre-alarming is believed Breath, fault statistics information, failure predication information, train groups health evaluating information and intelligent decision information；Analysis result contrast module, for the first train groups diagnostic result and the second train groups diagnostic result to be carried out Cluster analysis, and root cluster analysis result updates the second train groups diagnostic result.
- 6. train groups prognostic and health management system according to claim 5, it is characterised in that the ground PHM System also includes：As a result output module, for showing the second train groups diagnostic result after updating and/or being sent more to pre-set user The second train groups diagnostic result after new.
- 7. train groups prognostic and health management system according to claim 6, it is characterised in that the ground PHM System also includes：Ground data memory module, for carrying out on-line storage to the data after data preprocessing module processing And/or offline storage；The vehicle-mounted PHM systems also include：Vehicle-mounted data memory module, for the pretreated real time data and described Non-real-time data carries out on-line storage and/or offline storage.
- 8. the train groups prognostic and health management system according to claim any one of 1-7, it is characterised in that described Ground PHM systems also include：Ground intelligent mirror image model updating block, for being calculated using cognition with big data mining algorithm to the non real-time number Knowledge excavation is carried out according to, the operation/maintenance data, the manufacture and design data and the l-G simulation test data, and according to knowledge Result is updated to the ground intelligent mirror image model.
- 9. train groups prognostic and health management system according to claim 8, it is characterised in that the vehicle-mounted PHM System also includes：It is reserved to safeguard the network port, for by being wiredly and/or wirelessly connected to industry ethernet in the vehicle-mounted PHM systems Each equipment carries out single-point and safeguarded and initial data management.
- 10. train groups prognostic and health management system according to claim 9, it is characterised in that the vehicle-mounted PHM System also includes：Human-computer interaction module, for receiving the information of user's input, and perform and operated corresponding to described information.
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| CN112394703A (en) * | 2019-08-14 | 2021-02-23 | 中车时代电动汽车股份有限公司 | Vehicle fault management system |
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| CN113391612A (en) * | 2020-03-13 | 2021-09-14 | 株洲中车时代电气股份有限公司 | Fault prediction and health management device and fault prediction method for vehicle transmission control system |
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| CN111806516A (en) * | 2020-06-30 | 2020-10-23 | 苏州华启智能科技有限公司 | Health management device and method for intelligent train monitoring and operation and maintenance |
| CN111824210A (en) * | 2020-07-14 | 2020-10-27 | 中车大连电力牵引研发中心有限公司 | Vehicle-mounted PHM data detection and processing system based on rail transit |
| CN112141069A (en) * | 2020-09-10 | 2020-12-29 | 中车长春轨道客车股份有限公司 | Health management system of braking and air supply system for motor train unit |
| CN112758136A (en) * | 2021-01-08 | 2021-05-07 | 上海申铁信息工程有限公司 | PHM and AR based emergency maintenance method and device for railway locomotive vehicle |
| CN112622990A (en) * | 2021-01-16 | 2021-04-09 | 湖南科技大学 | Intelligent operation and maintenance management system for urban rail metro vehicle |
| CN112785183A (en) * | 2021-01-31 | 2021-05-11 | 中国人民解放军63963部队 | Health management system framework for layered fusion type vehicle teams |
| CN112785183B (en) * | 2021-01-31 | 2022-04-05 | 中国人民解放军63963部队 | Health management system framework for layered fusion type vehicle teams |
| CN112801398A (en) * | 2021-02-07 | 2021-05-14 | 三一重工股份有限公司 | Cooling device failure prediction method, cooling device failure prediction device, electronic apparatus, and storage medium |
| CN113204895A (en) * | 2021-05-31 | 2021-08-03 | 江苏中车数字科技有限公司 | Real-time online PHM method for railway vehicle developed based on graphic algorithm |
| CN113204895B (en) * | 2021-05-31 | 2024-04-16 | 江苏中车数字科技有限公司 | Real-time online PHM method for railway vehicle based on graphic algorithm development |
| CN113433927A (en) * | 2021-07-01 | 2021-09-24 | 交控科技股份有限公司 | Vehicle-mounted equipment indoor test system and test method based on single-chip microcomputer |
| CN115484182A (en) * | 2022-09-05 | 2022-12-16 | 南京融才交通科技研究院有限公司 | Rail transit vehicle-ground communication potential risk monitoring method and system |
| CN117172542A (en) * | 2023-09-05 | 2023-12-05 | 广州机施建设集团有限公司 | Big data-based construction site inspection management system |
| CN117172542B (en) * | 2023-09-05 | 2024-02-20 | 广州机施建设集团有限公司 | Big data-based construction site inspection management system |
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