CN107433962A - A kind of method and system for being used for track traffic failure monitoring and intelligent early-warning - Google Patents
A kind of method and system for being used for track traffic failure monitoring and intelligent early-warning Download PDFInfo
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- CN107433962A CN107433962A CN201610440765.6A CN201610440765A CN107433962A CN 107433962 A CN107433962 A CN 107433962A CN 201610440765 A CN201610440765 A CN 201610440765A CN 107433962 A CN107433962 A CN 107433962A
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning, or like safety means along the route or between vehicles or vehicle trains
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning, or like safety means along the route or between vehicles or vehicle trains
- B61L23/04—Control, warning, or like safety means along the route or between vehicles or vehicle trains for monitoring the mechanical state of the route
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or vehicle trains or setting of track apparatus
- B61L25/02—Indicating or recording positions or identities of vehicles or vehicle trains
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or vehicle trains or setting of track apparatus
- B61L25/06—Indicating or recording the setting of track apparatus, e.g. of points, of signals
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or vehicle trains or setting of track apparatus
- B61L25/06—Indicating or recording the setting of track apparatus, e.g. of points, of signals
- B61L25/08—Diagrammatic displays
Abstract
Include the invention discloses a kind of for track traffic failure monitoring and the method and system of intelligent early-warning, the system：Data acquisition module, data comparison module, data transmitting module, area controller module, CPU module, database module, display module.Data acquisition module is arranged on data acquisition equipment and collects real-time status data, and contrasted by data comparison module and database module corresponding data, generate fault message or warning information, and the failure or classification information of early warning, positional information and rating information are fed back into user by display module, while CPU module can carry out intelligent updating by the fault message and warning information for collecting each area controller module transmission to database module.A kind of system for track traffic failure monitoring and intelligent early-warning disclosed by the invention can fast, accurately determine fault category and fail address, and early warning can be carried out in advance to foreseeable failure.
Description
Technical field
The present invention relates to track traffic security fields, and in particular to one kind is used for track traffic failure monitoring
With the method for intelligent early-warning and the system for realizing its method.
Background technology
As metropolitan population is increasing, on road traffic can not increasingly meet that people sharply increase
Traffic usage amount, urban track traffic develop into alleviate urban traffic blocking play an important role.
Since first subway is built up in London in 1863, subway is as a kind of important urban track traffic
Instrument is in the developed regions such as the developed countries such as America and Europe and domestic Beijing, Shanghai, Guangzhou, Shenzhen
Extensive use.
Urban track traffic is as a special service industry, in process of production except worker's person
Safety, in addition to passenger personal safety and various installations and facilities it is safe for operation, while there is
Many uncertain potential safety hazards, the security feature of urban track traffic include：(1) communal facility
Characteristic；(2) big flow high density；(3) closure；(4) influenceed by orientation air flow；(5)
Take precautions against difficult.
The failure of track traffic is varied, and the position difference occurred according to failure can be divided into track equipment
Failure, platform equipment failure, auxiliary equipment failure, power circuit failure；According to the failure form of expression
Power-off, equipment attrition, fracture, crackle；Physical type according to failure inducement can be divided into electric fault,
Signal fault, mechanical breakdown and electronic failure.
Existing rail transit fault diagnosis method is mainly following four classes：(1) empirical method：Fortune inspection teacher
Failure is diagnosed by experience, range estimation and logic judgment；(2) part replacement method：Using new
Part replacement can with part, then by operation verified；(3) equipment detection method：By using special
Industry instrument, equipment, which are tested, carrys out fault point；(4) log searches method：By contrasting,
With reference to log trouble-shooting problem.It is each that existing diagnostic method requires that fortune inspection teacher is familiar with track traffic
The operation principle of part, various fault messages, working strength is big, efficiency is low, fault diagnosis
Accuracy is easily disturbed by human factor.
The content of the invention
The present invention is that track traffic failure diagnostic process working strength is big, imitates in order to overcome in the prior art
The problem of rate is low, and the accuracy of fault diagnosis is easily disturbed by human factor, there is provided one kind is used for track
Traffic faults monitor with the method for intelligent early-warning and the system for realizing its method, can fast, it is accurate
Fault category and fail address are determined, and early warning can be carried out in advance to foreseeable failure.
Present invention offer is a kind of for track traffic failure monitoring and the method for intelligent early-warning, suitable for rail
The monitoring of road traffic faults with intelligent early-warning system in real time, dynamic monitoring, real-time status data and number are set
According to the corresponding relation of corresponding data in library module, comprise the following steps：
S1, data acquisition device collection real-time status data；
S2, data comparison device are contrasted corresponding data in real-time status data and database module
And judgement, generate fault message or warning information；
S3, fault message or warning information are sent to area controller module by data transmitting module；
S4, classification information of the area controller module in database module are by fault message or early warning
Information is classified, and fault message or warning information is fed back into user by display module, and transmit
To CPU module；
S5, CPU module collect the fault message or pre- that each area controller module is sent
Alert information, preserves and is updated to database module.
It is of the present invention a kind of for track traffic failure monitoring and the method for intelligent early-warning, as excellent
Mode is selected, step S2 further comprises the steps：
S21, real-time status data and database module corresponding data contrasted, shown between the two
Difference；
S22, according to the threshold value of database module setting judge whether difference exceedes given threshold, if
Then directly terminate not less than threshold value, if it exceeds threshold value then performs step S23；
S23, fault message or warning information are positioned and graded.
It is of the present invention a kind of for track traffic failure monitoring and the method for intelligent early-warning, as excellent
Mode is selected, grading comprises the following steps：
The warning information or fault message that S24, area controller module receive are entered by database module
Row classification, obtains early warning or fault category i；
The number F that S25, the of that month early warning of statistics or fault category i occurix；
S26, the upper one month number F occurred of early warning or fault category i is obtained by database moduleiy
With nearly 12 months in frequency monthly average value Fiz；
S27, calculate early warning or fault category i threshold value
S28, according to step S27 calculate threshold value F graded, method is as follows：
If 1. F≤1, grade is green early warning or failure, represents that early warning or number of faults are stable, it is not necessary to
Take measures, it is in a safe condition；
If 2. 1 ＜ F≤3, grade is yellow early warning or failure, represents that event early warning or barrier number be not high, needs
It is noted that observation；
If 3. 3 ＜ F≤5, grade is orange warning or failure, represents that early warning or number of faults are higher, needs
To pay attention at moment, emphasis inspection；
If 4. F ＞ 5, grade is red early warning or failure, represents that early warning or number of faults are very high, it is necessary to vertical
Carry out emergency guarantee measure.
The present invention provide it is a kind of be used to realizing track traffic failure monitoring and the method for intelligent early-warning be
System, the system include：
Data acquisition module：For collecting the real-time status data of each test point；According to the table of test point
Existing form is different, and test point can be divided into broad sense test point and narrow sense test point, and broad sense test point refers to rail
All positions of potential faults on pipeline transportation system be present, narrow sense test point include installed in track equipment,
Sensor in platform equipment, tunnel device, train apparatus and auxiliary equipment and handed over installed in track
Sign on way system etc.；Different according to the position of test point, test point can be divided into track equipment detection
Point, platform equipment test point, tunnel device test point, train apparatus test point and auxiliary equipment detection
Point etc.；Different according to the form of expression of test point, test point can be divided into external detection point and internal detection
Point, visual examination point (such as tunnel surface, Train surface, are stood including Rail Transit System equipment appearance
Platform surface etc.), sound etc., internal test point includes Rail Transit System machine operation (as sent out
Motivation temperature, shielding door opening and closing state, train door opening and closing state etc.)；
Data comparison module：For the real-time status data and database mould for collecting data acquisition module
Corresponding data is contrasted and judged in block, generates fault message or warning information, and by fault message
Or warning information is sent to data transmitting module；
Data transmitting module：For fault message or warning information to be sent into area controller module；
Area controller module：Classified simultaneously for data transmitting module to be transmitted into the comparing result come
Processing, user is fed back to by result by display module, and classification information and result are transmitted
To CPU module；
CPU module：Tied for the classification information of receiving area processor module transmission and processing
Fruit, database module is updated to after collecting；
Database module：For storing fault message, warning information and being converged by CPU module
Total fresh information；
Display module：Result for area controller module to be sent feeds back to user.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, data acquisition module includes
Data recordin module：The real-time status gathered for record data harvester in motion process
Data；
Data collection module：For collecting the reality that sensor is sent in the equipment such as train, track, platform
When status data.
Data acquisition module is arranged on data acquisition device, and whole track traffic runtime is divided into
Several detection zones, one or more data acquisition devices, each data are provided with each region
Harvester moves back and forth according to the track of setting, collects real-time status data in the process of running.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, data acquisition device includes one of following apparatus or combination：Radio frequency reading device, laser are swept
Imaging apparatus, compound eye high-definition camera, sound collector, odor, Temperature sampler.Radio frequency
Scanning means can be in scanning device electronic tag, for determine the basic data information of each equipment with
And positional information；Laser scanning device can detect in Rail Transit System internal foreign matter and corresponding
Accident and 3D rendering can be formed；Compound eye high-definition camera can comprehensively detect track traffic system
Potential safety hazard in system, it is comprehensive that train operation state and track traffic are shown by image data
The state of environmental factor situation and each equipment in system；Sound collector can identify Rail Transit System
Abnormal sound (such as engine abnormal noise, train operation abnormal sound) in running；Odor can be known
Peculiar smell in other Rail Transit System is simultaneously classified (such as explosive, drugs)；Temperature sampler
The state of temperature that is able to record in Rail Transit System running simultaneously can identify temperature anomaly therein
Change (the temperature rise as caused by cable temperature rise, fire, temperature rise caused by power supply short circuit
Deng).
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, data comparison module includes
Data comparison module：For the real-time status data and database mould for collecting data acquisition module
Corresponding data is contrasted in block, and comparing result is sent into data judge module；
Data judge module：For comparing result to be sentenced according to the threshold value set in database module
It is disconnected, fault message or warning information are generated, and fault message or warning information are sent to data transmission
Module.
Data comparison module is arranged on data acquisition device, while number is additionally provided with data acquisition device
According to memory, the correction data come for the transmission of data storage library module, such setting enables to
The very first time of real-time status data after acquisition can determine whether fault message according to correction data
Or warning information produces.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, area controller module includes
Fault diagnosis module：For being classified and being graded and fault message is determined fault message
Position, and failure modes information, failure rating information and fault location information are fed back by display module
To user；
Fault pre-alarming module：For being classified and being graded and warning information is determined warning information
Position, and early warning classification information, early warning rating information and early warning location information are fed back by display module
To user.
The data that area controller module first sends data transmitting module be divided into normal data,
Fault data and warning data, wherein normal data directly preserve and are sent to CPU module, therefore
Barrier data distributing to fault diagnosis module is classified, positioned and graded, and warning information is issued to failure
Warning module is classified, positioned and graded.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, database module includes：
Fault message module：It is fixed for storage track traffic faults information, failure modes information, failure
Position information, failure rating information and each fault threshold；
Warning information module：It is fixed for storage track traffic prewarning information, early warning classification information, early warning
Position information, early warning rating information and each threshold value of warning；
Base module：For each parts of storage track traffic and component service life and abrasion number
It is believed that breath；
Reasoner module：For CPU module to be transmitted into the fault message come or warning information remittance
Overall result classifying, updating is to fault message module, warning information module and base module.
Database module can be realized automatic according to the fault message and warning information that central processing unit collects
Renewal, and judge using the result after renewal as fault message next time or warning information, grade according to
According to realizing the intelligent growth of whole track traffic failure monitoring and intelligent early-warning system.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, display module includes one of following apparatus or combined display, loudspeaker, signal lamp.Display
Device can reduce failure or early warning scene by way of image, to further appreciate that failure or early warning letter
Breath provides basis, while can also illustrate failure or early warning classification information, position by the display of word
Information and rating information etc.；Loudspeaker can make user recognize event the very first time in the range of whole platform
Barrier or the generation of early warning, and by setting different sound, it can reflect and be out of order or the classification of early warning
With rating information；Signal lamp makes user recognize the hair of failure or early warning the very first time by visual process
It is raw, and by signal lamp color and flicker state, it can reflect and be out of order or the classification and grading of early warning
Information.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Select mode, fault message includes power circuit failure, track equipment failure, tunnel device failure, stood
Platform equipment fault, train fault and auxiliary equipment failure.Failure refers mainly to influence track traffic fortune safely
Capable equipment damage and various accidents, such as power-off, foreign matter enter, when failure produces
Send fault message.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, power circuit failure includes power supply short circuit, power supply stops, battery failures；Track equipment event
Hindering includes subgrade deformation, sleeper crack, abrasion, rail abrasion, crackle, corrosion, connector fracture,
Crackle, defect, deformation, corrosion, track strengthen device damage, track foreign matter；Tunnel device failure
Including tunnel crackle, foreign matter；Platform equipment failure include shield door equipment fault, platform slab failure,
Foreign matter；Train fault includes train operation state failure, Train surface crackle, foreign matter；Auxiliary equipment
Failure indicates defect.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Select mode, warning information includes power circuit early warning, track equipment early warning, tunnel device early warning, stood
The early warning of platform equipment, train early warning and auxiliary equipment early warning.Due in each equipment component according to different
Demand has fixed service life, and damage such as abrasion, the crackle of each equipment also have different comment
Level, warning information is sent during the threshold value for reaching setting.
It is of the present invention a kind of for track traffic failure monitoring and the system of intelligent early-warning, as excellent
Mode is selected, power circuit early warning includes battery early warning, cable early warning, component service life early warning；
Track equipment early warning includes subgrade deformation, sleeper crack, abrasion, rail abrasion, crackle, corrosion,
Connector crackle, defect, deformation, corrosion, track strengthen equipment, track foreign matter, and component uses
Life-span early warning；Tunnel device early warning includes tunnel crack warning；Platform equipment early warning is set including shield door
Standby component service life early warning, platform slab service life early warning；Train early warning includes train operation shape
State early warning, Train surface crack warning, train component early warning；Auxiliary equipment failure sign defect is pre-
It is alert.
Power circuit includes track power supply, train power supply, platform screen door power supply, data acquisition device
Power supply etc., when short circuit, power-off occurs in power supply, corresponding sensor sends fault-signal,
Data acquisition device collects fault-signal and is positioned and graded, and result is sent into area controller
Module is alarmed, to fix a breakdown in time；When the equipment such as battery, cable reach predetermined use
During the life-span, corresponding sensor sends pre-warning signal, and data acquisition device collects pre-warning signal
And positioned and graded, result is sent into area controller module carries out early warning, so as in time more
Change and remove a hidden danger.
Track equipment includes roadbed, railway roadbed, sleeper, rail, connected component, track and strengthens equipment etc..
Roadbed refers to the banding structure as road bed according to route allocation and the build of certain technical requirements
The divine force that created the universe, is the basis of railway and highway, and roadbed is that the linear structure thing formed is built with soil or building stones；
When the deflection of roadbed reaches threshold value of warning, that is, pre-warning signal is sent, when the deflection of roadbed reaches
During fault threshold, that is, send fault-signal.
Railway roadbed is the important component of track, is the basis of track-frame, and railway roadbed is commonly referred to as iron
Rail pillow is following, and ballast (ballast aggregate) bed course laid on road bed, main function is support sleeper,
The immense pressure Transmit evenly on sleeper top to road bed, and the position of fixed sleeper, prevent rail
Vertical or horizontal movement is rested the head on, rolling stock wheel has also been relaxed while greatly reducing subgrade deformation to steel
The impact of rail, is easy to draining；When the deflection of railway roadbed reaches threshold value of warning, that is, pre-warning signal is sent,
When the deflection of railway roadbed reaches fault threshold, that is, send fault-signal.
Sleeper is also known as sleeper, and one kind of railway casting, sleeper should supporting rail, keep again
The position of rail, the immense pressure that rail transmission comes also is passed to railway roadbed again, therefore possessed certain
Pliability and elasticity, when train passes through, it can be suitably deformed with compensator or trimmer pressure, after train
Also need to restore to the original state as far as possible；The failure of sleeper or early warning include crackle, abrasion and displacement deformation,
I.e. when sleeper crack reaches threshold value of warning, that is, pre-warning signal is sent, sleeper crack reaches fault threshold
When, that is, send fault-signal；When sleeper abrasion reaches threshold value of warning, that is, send pre-warning signal, rail
When pillow abrasion reaches fault threshold, that is, send fault-signal；When displacement caused by sleeper is (i.e. between sleeper
Away from) reach threshold value of warning when, that is, send pre-warning signal, displacement caused by sleeper (i.e. sleeper spacing)
When reaching fault threshold, that is, send fault-signal；Sleeper also has the given threshold of service life, when
When the service life of sleeper reaches given threshold, that is, send pre-warning signal.
Rail is the main building block of railroad track, and the wheel for pilot engine vehicle advances, and holds
By the immense pressure of wheel, and transfer the pressure on sleeper, rail be necessary for wheel provide it is continuous,
Smooth-going and the rolling surface of resistance minimum；The failure of rail or early warning include crackle, abrasion, corrosion,
Skew etc., i.e., when rail cracks reaches threshold value of warning, that is, send pre-warning signal, rail cracks reaches
During fault threshold, that is, send fault-signal；When rail abrasion reaches threshold value of warning, that is, send early warning
Signal, when rail abrasion reaches fault threshold, that is, send fault-signal；When rail corrosion reaches early warning
During threshold value, that is, pre-warning signal is sent, when rail corrosion reaches fault threshold, that is, send fault-signal；
When rail offset reaches threshold value of warning, that is, pre-warning signal is sent, rail offset reaches failure threshold
During value, that is, send fault-signal；Rail also has the given threshold of service life, when the use of rail
When life-span reaches given threshold, that is, send pre-warning signal.
Union piece includes joint bar, track bolt, backing plate etc., and failure or warning information include splitting
Line, defect, deformation, corrosion etc., i.e., when the crackle of union piece, defect, deformation, corrosion etc. reach
During to threshold value of warning, that is, send pre-warning signal, the crackle of union piece, defect, deformation, corrosion etc.
When reaching fault threshold, that is, send fault-signal；Each union piece also there is respective service life to set
Determine threshold value, when the service life of union piece reaches given threshold, that is, send pre-warning signal.
Track, which strengthens equipment, includes rail distance rod, rail brace, anticreeper etc., and failure or warning information include
Crackle, abrasion, deformation, corrosion etc., i.e., when track strengthens equipment crackle, abrasion, deformation, corrosion
During etc. reaching threshold value of warning, that is, send pre-warning signal, track strengthen equipment crackle, abrasion, deformation,
When corrosion etc. reaches fault threshold, that is, send fault-signal；Each track strengthens equipment also with respective
Service life given threshold, when the service life that track strengthens equipment reaches given threshold, that is, send
Pre-warning signal.
Platform equipment includes shield door, platform slab etc., and failure and warning information include outward appearance and (including split
Line, abrasion, deformation etc.), component (including engine, sensor, conveyer etc.)；When
When shield door, the crackle of platform slab, abrasion, deformation reach threshold value of warning, that is, pre-warning signal is sent,
When shield door, the crackle of platform slab, abrasion, deformation reach fault threshold, that is, send fault-signal；
When component service condition reaches threshold value of warning, that is, pre-warning signal is sent, when component service condition
When reaching fault threshold, that is, send fault-signal；Shield door, each part of platform slab and component simultaneously
Also there is respective service life given threshold, when making for shield door, each part of platform slab and component
When reaching given threshold with the life-span, that is, send pre-warning signal.
The present invention back and forth transports due to data acquisition module is arranged on data acquisition equipment in monitor area
It is dynamic, failure and early warning of the track traffic in motion process can be found in real time, and can be rapid
Fault message and warning information are sent into area controller module classified, positioned and graded,
Can fast, accurately determine fault category and fail address.
The service life and wear data of the invention further established on each device components of track traffic
The base module of information, early warning can be carried out in advance to foreseeable failure, reduce failure
Probability, while related fault message module, warning information module and base module have intelligence
The function of renewal.
Brief description of the drawings
Fig. 1 is a kind of for track traffic failure monitoring and the application method flow of the system of intelligent early-warning
Figure；
Fig. 2 is a kind of for track traffic failure monitoring and the application method step of the system of intelligent early-warning
S2 flow charts；
Fig. 3 is a kind of for the grading of the application method of track traffic failure monitoring and the system of intelligent early-warning
Method flow diagram；
Fig. 4 is a kind of for track traffic failure monitoring and the system pie graph of intelligent early-warning；
Fig. 5 is that a kind of data acquisition for track traffic failure monitoring and the system of intelligent early-warning gathers
Module structure drafting；
Fig. 6 is a kind of for track traffic failure monitoring and the data comparison module of the system of intelligent early-warning
Module structure drafting；
Fig. 7 is a kind of area controller mould for track traffic failure monitoring and the system of intelligent early-warning
Block pie graph；
Fig. 8 is a kind of database module structure for track traffic failure monitoring and the system of intelligent early-warning
Cheng Tu；
Fig. 9 is a kind of for the implementation of the application method of track traffic failure monitoring and the system of intelligent early-warning
The flow chart of example 1；
Figure 10 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 2；
Figure 11 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 3；
Figure 12 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 4；
Figure 13 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 5；
Figure 14 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 6；
Figure 15 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 7；
Figure 16 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 8；
Figure 17 is a kind of real for the application method of track traffic failure monitoring and the system of intelligent early-warning
Apply the flow chart of example 9.
Embodiment
Illustrate the embodiment of the present invention with reference to Figure of description.
The present invention provides a kind of method for being used for track traffic failure monitoring and the system of intelligent early-warning, fits
For track traffic failure monitoring and intelligent early-warning system in real time, dynamic monitoring, real-time status number is set
According to the corresponding relation with corresponding data in database module, as shown in Figures 1 to 3, comprise the following steps：
S1, data acquisition device collection real-time status data；
S2, data comparison device are contrasted corresponding data in real-time status data and database module
And judgement, generate fault message or warning information；Including
S21, real-time status data and database module corresponding data contrasted, shown between the two
Difference；
S22, according to the threshold value of database module setting judge whether difference exceedes given threshold, if
Then directly terminate not less than threshold value, if it exceeds threshold value then performs step S23；
S23, fault message or warning information are positioned and graded；Grading comprises the following steps：
The warning information or fault message that S24, area controller module receive are entered by database module
Row classification, obtains early warning or fault category i；
The number F that S25, the of that month early warning of statistics or fault category i occurix；
S26, the upper one month number F occurred of early warning or fault category i is obtained by database moduleiy
With nearly 12 months in frequency monthly average value Fiz；
S27, calculate early warning or fault category i threshold value
S28, according to step S27 calculate threshold value F graded, method is as follows：
If 1. F≤1, grade is green early warning or failure, represents that early warning or number of faults are stable, it is not necessary to
Take measures, it is in a safe condition；
If 2. 1 ＜ F≤3, grade is yellow early warning or failure, represents that event early warning or barrier number be not high, needs
It is noted that observation；
If 3. 3 ＜ F≤5, grade is orange warning or failure, represents that early warning or number of faults are higher, needs
To pay attention at moment, emphasis inspection；
If 4. F ＞ 5, grade is red early warning or failure, represents that early warning or number of faults are very high, it is necessary to vertical
Carry out emergency guarantee measure；
S3, fault message or warning information are sent to area controller module by data transmitting module；
S4, classification information of the area controller module in database module are by fault message or early warning
Information is classified, and fault message or warning information is fed back into user by display module, and transmit
To CPU module；
S5, CPU module collect the fault message or pre- that each area controller module is sent
Alert information, preserves and is updated to database module.
The present invention provides a kind of system for being used to realize track traffic failure monitoring and intelligent early-warning method,
As shown in Fig. 4~8, the system includes：
Data acquisition module 100：For collecting the real-time status data of each test point；Including
Data recordin module 110：Gathered for record data harvester in motion process real-time
Status data, data acquisition device include one of following apparatus or combination：Radio frequency reading device, laser
Scanning means, compound eye high-definition camera, sound collector, odor, Temperature sampler；
Data collection module 120：Sent for collecting sensor in the equipment such as train, track, platform
Real-time status data；
Data comparison module 200：For the real-time status data and data for collecting data acquisition module
Corresponding data is contrasted and judged in library module, generates fault message or warning information, and by failure
Information or warning information are sent to data transmitting module；Including
Data comparison module 210：For the real-time status data and data for collecting data acquisition module
Corresponding data is contrasted in library module, and comparing result is sent into data judge module；
Data judge module 220：For comparing result to be entered according to the threshold value set in database module
Row judges, generates fault message or warning information, and fault message or warning information are sent into data
Delivery module；
Data transmitting module 300：For will be sent to after fault message or warning information compression at region
Manage device module；
Area controller module 400：Divided for data transmitting module to be transmitted into the comparing result come
Class is simultaneously handled, and result is fed back into user by display module, by classification information and result
It is sent to CPU module；Including
Fault diagnosis module 410：For being classified and being graded and fault message is entered fault message
Row positioning, and failure modes information, failure rating information and fault location information are passed through into display module
Feed back to user；
Fault pre-alarming module 420：For being classified and being graded and warning information is entered warning information
Row positioning, and early warning classification information, early warning rating information and early warning location information are passed through into display module
Feed back to user.
CPU module 500：Classification information and place for the transmission of receiving area processor module
Result is managed, database module is updated to after collecting；
Database module 600：For storing fault message, warning information and by central processing unit mould
The fresh information that block collects；Including：
Fault message module 610：For storage track traffic faults information, failure modes information, event
Hinder location information, failure rating information and each fault threshold；
Warning information module 620：For storage track traffic prewarning information, early warning classification information, pre-
Alert location information, early warning rating information and each threshold value of warning；
Base module 630：For each parts of storage track traffic and component service life and mill
Damage data message；
Reasoner module 640：For CPU module to be transmitted into the fault message come or early warning letter
Summarized results classifying, updating is ceased to fault message module, warning information module and base module；
Display module 700：Result for area controller module to be sent feeds back to user,
Display module includes one of following apparatus or combined display, loudspeaker, signal lamp.
Embodiment 1
As shown in figure 9, comprise the following steps：
S11, compound eye high-definition camera collection tunnel crackle real-time status data；
S12, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether tunnel crackle exceedes given threshold, if not less than given threshold, into step S18, if
More than given threshold, into step S13；
S13, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S14, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S15, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S16, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S17, display module 700 are by fault message or warning information by display by tunnel crackle position
Put, crack length and rating result feed back to user, as F ＞ 5, send alarm signal to train,
Make train deceleration or out of service, while area controller 400 is sent a signal at the arrangement of maintenance center
Failure is managed, and result is sent to CPU module 500；
Real-time status data is sent to regional processing module 400 by S18, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S19, regional processing module 400；
Real-time status data is updated to database module 600 by S110, CPU module 500.
The present embodiment finds the crackle in tunnel by compound eye camera, and crackle is shown by way of image
Form, size, and judge that the early warning grading of the crackle or failure are commented by data comparison module 200
Level, user is fed back to by crackle image data, positional information and rating information by display module.
Embodiment 2
As shown in Figure 10, comprise the following steps：
S21, compound eye high-definition camera collection deformation of rail real-time status data；
S22, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether rail deformation exceedes given threshold, if not less than given threshold, into step S28, if
More than given threshold, into step S23；
S23, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S24, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S25, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S26, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S27, display module 700 are by fault message or warning information by display by deformation of rail position
Put, deflection and rating result feed back to user, as F ＞ 5, send alarm signal to train,
Make suspension of service, while area controller 400 sends a signal to maintenance center and arranges handling failure,
And result is sent to CPU module 500；
Real-time status data is sent to regional processing module 400 by S28, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S29, regional processing module 400；
Real-time status data is updated to database module 600 by S210, CPU module 500.
The present embodiment finds track deformation state by compound eye camera, is deformed by way of image
State, the size of deformation, and judge by data comparison module 200 the early warning grading or former of the deformation
Barrier grading, track deformation field image data, positional information and rating information is anti-by display module
It is fed to user.
Embodiment 3
As shown in figure 11, comprise the following steps：
The real-time status data of abnormal sound in S31, sound collector collection train travelling process；
S32, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether the classification of abnormal sound is that the suspicious abnormal sound of failure or early warning then enters step if not suspicious abnormal sound
S39, if can then enter step S33 with abnormal sound；
S33, according to the suspicious abnormal sound of threshold decision set in advance, if not less than given threshold, enter
Enter step S39, if it exceeds given threshold, into step S34；
S34, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S35, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S36, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S37, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S38, display module 700 are by fault message or warning information by display by the position of abnormal sound
Information feeds back to user with rating information, while is fed back to fault message or warning information by loudspeaker
User, as F ＞ 5, area controller 400 sends a signal to maintenance center and arranges handling failure,
And result is sent to CPU module 500；；
Real-time status data is sent to regional processing module 400 by S39, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S310, regional processing module 400；
Real-time status data is updated to database module 600 by S311, CPU module 500.
The present embodiment finds the abnormal sound in train travelling process by sound collector, and passes through data pair
Than the early warning grading or failure grading that module 200 judges the abnormal sound, by the positional information of abnormal sound and grading
Information feeds back to user by display module.Generation for abnormal sound, the sensor on train also can
Judged and graded by sending a signal to data collection module 120, two can be carried out to the abnormal sound
Secondary judgement.
Embodiment 4
As shown in figure 12, comprise the following steps：
S41, laser scanning device collection platform foreign matter real-time status data；
S42, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether the size of foreign matter exceedes given threshold, if not less than given threshold, into step S48, such as
Fruit exceedes given threshold, into step S43；
S43, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S44, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S45, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S46, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S47, display module 700 by fault message or warning information by display by foreign matter position,
Size, 3D rendering and rating result feed back to user, and feed back to user by signal lamp flicker, when
During F ＞ 5, alarm signal is sent to train, makes suspension of service, while area controller 400 is sent out
The number of delivering letters to maintenance center arranges processing foreign matter, and result is sent into CPU module
500；；
Real-time status data is sent to regional processing module 400 by S48, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S49, regional processing module 400；
Real-time status data is updated to database module 600 by S410, CPU module 500.
The present embodiment finds platform foreign matter by laser scanning device, is imaged by 3D and shows foreign matter
Morphological feature, and judge that the early warning grading of the foreign matter or failure are graded by data comparison module 200,
The positional information of foreign matter and rating information are fed back into user by display module.Appearance for foreign matter,
The influence data that compound eye high-definition camera can also gather foreign matter are judged and are graded, can be different to this
Thing carries out secondary judgement.
Embodiment 5
As shown in figure 13, comprise the following steps：
S51, radio frequency reading device collection platform screen door sensor real-time status data；
S52, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether shield door on-off times exceed given threshold, if not less than given threshold, into step S58,
If it exceeds given threshold, into step S53；
S53, generation warning information, and warning information is positioned and graded；
Real-time status data, warning information are sent to regional processing by S54, data transmitting module 300
Module 400；
S55, regional processing module 400 are classified real-time status data, warning information, will be pre-
Classification information, location information and the rating information of alert information are sent to display module 700, by all numbers
According to being sent to CPU module 500；
Real-time status data and warning information are updated to database by S56, CPU module 500
Module 600；
Fault message or warning information will be shielded door switch by S57, display module 700 by display
Number, early warning rating result feed back to user, and feed back to user by signal lamp flicker；
Real-time status data is sent to regional processing module 400 by S58, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S59, regional processing module 400；
Real-time status data is updated to database module 600 by S510, CPU module 500.
The present embodiment gathers the real-time status data of platform screen door sensor by radio frequency reading device,
And judge that the early warning grading of platform screen door running status or failure are commented by data comparison module 200
Level, user is fed back to by its positional information and rating information by display module.
Embodiment 6
As shown in figure 14, comprise the following steps：
S61, compound eye high-definition camera acquisition trajectory traffic marking real-time status data；
S62, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether the defect of sign exceedes given threshold, if not less than given threshold, into step S68, such as
Fruit exceedes given threshold, into step S63；
S63, generation warning information, and warning information is positioned and graded；
Real-time status data, warning information are sent to regional processing by S64, data transmitting module 300
Module 400；
S65, regional processing module 400 are classified real-time status data, warning information, will be pre-
Classification information, location information and the rating information of alert information are sent to display module 700, by all numbers
According to being sent to CPU module 500；
Real-time status data and warning information are updated to database by S66, CPU module 500
Module 600；
S67, display module 700 are by fault message or warning information by display by the defect of sign
State and rating result feed back to user；
Real-time status data is sent to regional processing module 400 by S68, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S69, regional processing module 400；
Real-time status data is updated to database module 600 by S610, CPU module 500.
The present embodiment finds sign missing by compound eye high-definition camera, is shown and indicated by image data
The morphological feature of missing, and by data comparison module 200 judge the sign lack early warning grading or
Failure is graded, and the positional information for indicating missing and rating information are fed back into user by display module.
Embodiment 7
As shown in figure 15, comprise the following steps：
S71, odor collection platform peculiar smell real-time status data；
S72, data comparison module 200 are contrasted according to corresponding data in database module, are judged
The classification of peculiar smell whether be failure or early warning suspicious peculiar smell, if not suspicious peculiar smell, then enter step
Rapid S79, if suspicious peculiar smell, then into step S73；
S73, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether the concentration of peculiar smell exceedes given threshold, if not less than given threshold, into step S79, such as
Fruit exceedes given threshold, into step S74；
S74, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S75, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S76, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S77, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S78, display module 700 by fault message or warning information by display by peculiar smell classification,
Concentration and rating result feed back to user, and feed back to user by signal lamp flicker, as F ＞ 5,
Alarm signal is sent to train, makes suspension of service, while area controller 400 is sent a signal to
Maintenance center is arranged to handle suspicious peculiar smell, and result is sent into CPU module 500；；
Real-time status data is sent to regional processing module 400 by S79, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S710, regional processing module 400；
Real-time status data is updated to database module 600 by S711, CPU module 500.
The present embodiment finds the peculiar smell on platform by odor, and passes through data comparison module
200 judge the classification information of the temperature, early warning grading or failure grading, by the classification of smell, position
Information and rating information feed back to user by display module.Generation for some peculiar smell, such as fire,
Temperature sampler can also be judged and graded by collecting temperature delta data, can be to the peculiar smell
Carry out compound judgement.
Embodiment 8
As shown in figure 16, comprise the following steps：
S81, Temperature sampler collection cable temperature real-time status data；
S82, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether temperature change exceedes given threshold, if not less than given threshold, into step S88, if
More than given threshold, into step S83；
S83, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S84, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S85, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S86, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S87, display module 700 are by fault message or warning information by display by temperature change feelings
Condition and rating result feed back to user, as F ＞ 5, send alarm signal to train, stop train
Only run, while area controller 400 sends a signal to maintenance center and arranges to handle suspicious temperature change
Change, and result is sent to CPU module 500；
Real-time status data is sent to regional processing module 400 by S88, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S89, regional processing module 400；
Real-time status data is updated to database module 600 by S810, CPU module 500.
The present embodiment gathers the real-time status data of cable temperature by Temperature sampler, and passes through data
Contrast module 200 judges the early warning grading or failure grading of cable temperature change, and the position of cable is believed
Breath and rating information feed back to user by display module.For cable temperature change to a certain extent,
Such as cause burning, odor can also be judged and graded by gathering peculiar smell data, can be with
Compound judgement is carried out to cable temperature change.
Embodiment 9
As shown in figure 17, comprise the following steps：
The reality of car door in S91, compound eye high-definition camera and laser scanning device collection train travelling process
When status data；
S92, data comparison module 200 are contrasted according to corresponding data in database module, are judged
Whether Train door deformation exceedes given threshold, if not less than given threshold, into step S98,
If it exceeds given threshold, into step S93；
S93, generation fault message or warning information, and fault message or warning information are positioned
With grading；
S94, data transmitting module 300 transmit real-time status data, fault message or warning information
To regional processing module 400；
S95, regional processing module 400 carry out real-time status data, fault message or warning information
Classification, display module is sent to by the failure or classification information of early warning, location information and rating information
700, all data are sent to CPU module 500；
S96, CPU module 500 by real-time status data and fault message or warning information more
Newly to database module 600；
S97, display module 700 are by fault message or warning information by display by train operation
Car door situation and rating result feed back to user in journey, as F ＞ 5, (such as car door abnormal start-up),
Laser scanning device shows 3D rendering, and compound eye high-definition camera generation real-time status influences data, hair
Alarm signal is sent to make suspension of service, while area controller 400 sends a signal to dimension to train
Repair center and arrange handling failure, and result is sent to CPU module 500；；
Real-time status data is sent to regional processing module 400 by S98, data transmitting module 300；
Real-time status data is sent to CPU module 500 by S99, regional processing module 400；
Real-time status data is updated to database module 600 by S910, CPU module 500.
The present embodiment gathers car in train travelling process by compound eye high-definition camera and laser scanning device
The real-time status data of door, and by data comparison module 200 judge the abnormal early warning of car door grade or
Failure is graded, and the door position information for producing failure and rating information are fed back into use by display module
Family.Laser scanning device can generate 3D rendering, and compound eye high-definition camera can generate image data
Carry out compound judgement.
It is described above to be merely exemplary for the purpose of the present invention, and nonrestrictive, the common skill in this area
Art personnel understand, in the case where not departing from the spirit and scope that claim is limited, can make
Any modification, change or equivalent, fall within protection scope of the present invention.
Claims (14)
1. it is a kind of for track traffic failure monitoring and the method for intelligent early-warning, suitable for track traffic event
Hinder monitoring real-time, dynamic monitoring with intelligent early-warning system, it is characterised in that：Real-time status data is set
With the corresponding relation of corresponding data in database module, comprise the following steps：
S1, pass through data collecting module collected real-time status data；
S2, data comparison module carry out corresponding data in the real-time status data and database module
Contrast and judgement, generate fault message or warning information；
S3, the fault message or the warning information are sent to regional processing by data transmitting module
Device module；
S4, classification information of the area controller module in the database module will the events
Barrier information or the warning information are classified, and the fault message or the warning information are passed through
Display module feeds back to user, and is sent to CPU module；
S5, the CPU module collect each area controller module send it is described
Fault message or the warning information, preserve and be updated to the database module.
It is 2. according to claim 1 a kind of for track traffic failure monitoring and the side of intelligent early-warning
Method, it is characterised in that：The step S2, further comprises the steps：
S21, the real-time status data and the database module corresponding data contrasted, display two
Difference between person；
S22, judge according to the given threshold of the database module whether the difference exceedes described set
Determine threshold value, directly terminate if not less than threshold value, if it exceeds threshold value then performs step S23；
S23, the fault message or the warning information are positioned and graded.
It is 3. according to claim 2 a kind of for track traffic failure monitoring and the side of intelligent early-warning
Method, it is characterised in that：The grading comprises the following steps：
The warning information or fault message that S24, the area controller module receive pass through the data
Library module is classified, and obtains early warning or fault category i；
The number F that S25, the of that month early warning of statistics or fault category i occurix；
S26, the upper one month number occurred of early warning or fault category i is obtained by the database module
FiyWith nearly 12 months in frequency monthly average value Fiz；
S27, calculate early warning or fault category i threshold value
S28, according to step S27 calculate threshold value F graded, method is as follows：
If 1. F≤1, grade is green early warning or failure, represents that early warning or number of faults are stable, it is not necessary to
Take measures, it is in a safe condition；
If 2. 1 ＜ F≤3, grade is yellow early warning or failure, represents that event early warning or barrier number be not high, needs
It is noted that observation；
If 3. 3 ＜ F≤5, grade is orange warning or failure, represents that early warning or number of faults are higher, needs
To pay attention at moment, emphasis inspection；
If 4. F ＞ 5, grade is red early warning or failure, represents that early warning or number of faults are very high, it is necessary to vertical
Carry out emergency guarantee measure.
4. a kind of system for realizing track traffic failure monitoring and the method for intelligent early-warning, its feature
It is：The system includes：
Data acquisition module：For collecting the real-time status data of each test point；
Data comparison module：For by the real-time status data that the data acquisition module is collected with it is described
Corresponding data is contrasted and judged in database module, generates fault message or warning information, and will
The fault message or warning information are sent to data transmitting module；
Data transmitting module：For the fault message or warning information to be sent into the regional processing
Device module；
Area controller module：Divided for the data transmitting module to be transmitted into the comparing result come
Class is simultaneously handled, and result is fed back into user by the display module, by classification information and processing
As a result it is sent to the CPU module；
CPU module：For receiving classification information and the place of the area controller module transmission
Result is managed, the database module is updated to after collecting；
Database module：For storing fault message, warning information and by the central processing unit mould
The fresh information that block collects；
Display module：Result for the area controller module to be sent feeds back to user.
It is 5. according to claim 4 a kind of for realizing track traffic failure monitoring and intelligent early-warning
Method system, it is characterised in that：The data acquisition module includes
Data recordin module：The real-time status gathered for record data harvester in motion process
Data；
Data collection module：For collecting the reality that sensor is sent in the equipment such as train, track, platform
When status data.
It is 6. according to claim 5 a kind of for realizing track traffic failure monitoring and intelligent early-warning
Method system, it is characterised in that：The data acquisition device includes one of following apparatus or combination
Radio frequency reading device, laser scanning device, compound eye high-definition camera, sound collector, smell
Collector, Temperature sampler.
It is 7. according to claim 4 a kind of for realizing track traffic failure monitoring and intelligent early-warning
Method system, it is characterised in that：The data comparison module includes
Data comparison module：For by the real-time status data that the data acquisition module is collected with it is described
Corresponding data is contrasted in database module, and comparing result is sent into the data judge module；
Data judge module：For by the comparing result according to the threshold set in the database module
Value is judged, generates fault message or warning information, and the fault message or warning information are passed
Deliver to the data transmitting module.
It is 8. according to claim 7 a kind of for realizing track traffic failure monitoring and intelligent early-warning
Method system, it is characterised in that：The area controller module includes
Fault diagnosis module：For by the fault message classified and graded and to the failure believe
Breath is positioned, and by the failure modes information, the failure rating information and the fault location
Information feeds back to user by the display module；
Fault pre-alarming module：For by the warning information classified and graded and to the early warning believe
Breath is positioned, and the early warning classification information, the early warning rating information and the early warning are positioned
Information feeds back to user by the display module.
It is 9. according to claim 4 a kind of for realizing track traffic failure monitoring and intelligent early-warning
Method system, it is characterised in that：The database module includes：
Fault message module：It is fixed for storage track traffic faults information, failure modes information, failure
Position information, failure rating information and each fault threshold；
Warning information module：It is fixed for storage track traffic prewarning information, early warning classification information, early warning
Position information, early warning rating information and each threshold value of warning；
Base module：For each parts of storage track traffic and component service life and abrasion number
It is believed that breath；
Reasoner module：For the CPU module to be transmitted into the fault message come or early warning letter
Summarized results classifying, updating is ceased to the fault message module, the warning information module and the knowledge
Library module.
It is 10. according to claim 4 a kind of for realizing that track traffic failure monitoring is pre- with intelligence
The system of alert method, it is characterised in that：The display module includes one of following apparatus or combination
Display, loudspeaker, signal lamp.
It is 11. according to claim 9 a kind of for realizing that track traffic failure monitoring is pre- with intelligence
The system of alert method, it is characterised in that：The fault message includes power circuit failure, track is set
Standby failure, tunnel device failure, platform equipment failure, train fault and auxiliary equipment failure.
It is 12. according to claim 11 a kind of for realizing that track traffic failure monitoring is pre- with intelligence
The system of alert method, it is characterised in that：The power circuit failure includes power supply short circuit, power supply stops
Only, battery failures；The track equipment failure includes subgrade deformation, sleeper crack, abrasion, rail
Abrasion, crackle, corrosion, connector fracture, crackle, defect, deformation, corrosion, track are strengthened setting
Standby damage, track foreign matter；The tunnel device failure includes tunnel crackle, foreign matter；The platform is set
Standby failure includes shield door equipment fault, platform slab failure, foreign matter；The train fault includes train
Running status failure, Train surface crackle, foreign matter；The auxiliary equipment failure indicates defect.
It is 13. according to claim 9 a kind of for realizing that track traffic failure monitoring is pre- with intelligence
The system of alert method, it is characterised in that：The warning information includes power circuit early warning, track is set
Standby early warning, tunnel device early warning, platform equipment early warning, train early warning and auxiliary equipment early warning.
It is 14. according to claim 13 a kind of for realizing that track traffic failure monitoring is pre- with intelligence
The system of alert method, it is characterised in that：The power circuit early warning includes battery early warning, and cable is pre-
It is alert, component service life early warning；The track equipment early warning includes subgrade deformation, sleeper crack,
Abrasion, rail abrasion, crackle, corrosion, connector crackle, defect, deformation, corrosion, track add
Strong equipment, track foreign matter, component service life early warning；The tunnel device early warning is split including tunnel
Line early warning；The platform equipment early warning includes the early warning of shield door device components service life, platform slab
Service life early warning；The train early warning includes train operation state early warning, Train surface crack warning,
Train component early warning；The auxiliary equipment failure indicates defect early warning.
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