CN106638190A

CN106638190A - Railway line quality monitoring method and system

Info

Publication number: CN106638190A
Application number: CN201611224773.3A
Authority: CN
Inventors: 彭丽宇; 杨文�; 肖志宇; 崔志超; 王贵鑫; 张俊生; 杜守信; 刘畅
Original assignee: China Shenhua Energy Co Ltd; Shuohuang Railway Development Co Ltd
Current assignee: China Shenhua Energy Co Ltd; Shuohuang Railway Development Co Ltd
Priority date: 2016-12-27
Filing date: 2016-12-27
Publication date: 2017-05-10
Anticipated expiration: 2036-12-27
Also published as: CN106638190B

Abstract

The invention relates to the technical field of automatic control and discloses a railway line quality monitoring method and system. The method comprises the steps of obtaining railway status data; according to the railway status data, determining intensive maintenance kilometers, wherein the intensive maintenance kilometers refer to a kilometer section with defects in a railway line; according to the railway status data and a first threshold value corresponding to the railway status data, determining why the defects exist in the intensive maintenance kilometers. By means of the method and system, the kilometer section with the defects can be found and why the defects exist is determined at the same time, the more comprehensive, reasonable and scientific monitoring of the railway line quality is achieved, high-quality maintenance and repair are provided and the safe operation of a railway is ensured.

Description

Rail track quality control method and system

Technical field

The present invention relates to automatic control technology field, in particular it relates to a kind of rail track quality control method and be System.

Background technology

Railway department is generally periodically detected using track inspection car to circuit, and detection data is analyzed Process, search diseases of railway line, evaluate line quality, instruct permanent way maintenance unit to carry out urgent repair, Jing and often maintain and comprehensive dimension Repair.

Analysis to track inspection car detection data at present is used, and by circuit local irregularity the pipe of irregularity grade is divided Reason mode is peak value management, is average management in the way of track section entirety irregularity state is managed.Peak value management with Guarantee traffic safety is target, and average management is to ensure line quality equilibrium as target.Existing management method is both of which The mode of dual-purpose.

The project that track inspection car is checked track dynamic local irregularity (peak value management) is gauge, level, height, rail To, twist irregularity, car body Vertical Acceleration and lateral vibration acceleration seven.Every deviation levels are divided into level Four：I levels are Maintenance standard, often occurs to detain 1 point at one；II grade is comfort criterion, often occurs to detain 5 points at one；III grade is urgent repair standard, Often occur to detain 100 points at one；IV grade is standard of the limited speed, often occurs to detain 301 points at one.By injustice of the peak value evaluation per km circuit During along state, evaluated with the summation of the every deviation deduction of points at different levels of every km.Track inspection car checks that track section is overall uneven (TQI) evaluated with track quality index (i.e. track irregularity performance figure) along the dynamic mass of (average management).

The existing method for evaluating line quality typically only focuses on superficial phenomenon, without analyzing the reason for there is disease, When circuit three-dimensional maintenance, comprehensive maintenance is carried out with this phenomenon guide maintenance unit, have some limitations.Due to track Irregularity has important shadow to life-span of the travel safety of train, stationarity, vehicle and track component and ambient noise etc. Ring, therefore the requirement to rail track quality is more harsh, and the quality of maintenance is put forward higher requirement.I.e. existing skill Lack method that is more comprehensive to rail smooth state, reasonable, being scientifically estimated and/or system in art.

The content of the invention

For the above-mentioned technical problem not enough to rail track quality monitoring present in prior art, the invention provides A kind of rail track quality control method, the method includes：Obtain track condition data；Determined according to the track condition data Emphasis keeps in repair kilometer, and the emphasis maintenance kilometer is the kilometer section that there is disease in rail track；And according to the track The reason for status data and corresponding first threshold determine the disease existing for the emphasis maintenance kilometer.

Preferably, it is described to determine that emphasis maintenance kilometer is included according at least in following according to the track condition data Person determines that emphasis keeps in repair kilometer：Determine that line quality grade is preferential kilometer or plans the kilometer section of kilometer for emphasis maintenance public affairs In；Determine that line quality fraction is that kilometer section that is qualified or overstepping the bounds keeps in repair kilometer for emphasis；And determine that there is target offset The kilometer section of this month deviation levels of kilometer section more than grade and the difference of deviation levels last month more than or equal to zero is attached most importance to Point maintenance kilometer.

Preferably, determine that line quality grade is preferential kilometer or plans the kilometer section of kilometer for emphasis maintenance kilometer bag Include：Track irregularity performance figure (TQI) value and T values of kilometer section are calculated according to the track condition data；According to described TQI values calculate T values, wherein the TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values；And according to the T It is worth for preferential kilometer or plans kilometer, the track condition data includes TQI components；Line quality fraction is determined for qualified or mistake The kilometer section of lattice is that emphasis maintenance kilometer includes：Determine the line quality point of this kilometer of section according to the track condition data Number is qualified or oversteps the bounds；It is determined that this month deviation levels with kilometer section more than target offset grade and deviation levels last month Difference more than or equal to zero kilometer section be emphasis maintenance kilometer include：Determined to have according to the track condition data and made a reservation for partially Kilometer section more than difference grade, compares this month deviation levels and last month that this has more than target offset grade kilometer section Deviation levels, determine should have in advance in the case where this month deviation levels and deviation levels last month are more than or equal to zero It is that emphasis keeps in repair kilometer to determine kilometer sections more than deviation levels.

Preferably, it is described to determine the emphasis maintenance kilometer according to the track condition data and corresponding first threshold The reason for existing disease, includes：Include TQI components, and the corresponding first threshold bag in the track condition data In the case of including the management value of track irregularity performance figure (TQI) value and T values, according to the track condition data are calculated The TQI values and T values of emphasis maintenance kilometer, the TQI values for being calculated and T values is compared with the management value of the TQI values and T values, root The reason for determining the disease existing for the emphasis maintenance kilometer according to comparative result, wherein per kilometer of 5 200 meters of lists for being included The TQI values sum of first section is T values.

Preferably, it is described to determine the emphasis maintenance kilometer according to the track condition data and corresponding first threshold The reason for existing disease, includes：The track condition data include gauge, level, height, rail to, twist irregularity, car body Vertical Acceleration and lateral vibration acceleration, and the corresponding first threshold include gauge threshold value, level thresholds, The feelings of high-low threshold value, rail to threshold value, twist irregularity threshold value, car body Vertical Acceleration threshold value and lateral vibration acceleration threshold value Under condition, the track condition data and corresponding first threshold are compared, the emphasis dimension is determined according to comparative result The reason for repairing the disease existing for kilometer.

Preferably, the method also includes：Obtain Rail Surface status data；Obtain rail undaform abrasion status data； Obtain rail profile abrasion status data；Obtain railway roadbed status data；Respectively according to the Rail Surface status data, the steel Rail undaform abrasion status data, rail profile abrasion status data, the railway roadbed status data and corresponding second Threshold value determines the Rail Surface situation of the emphasis maintenance kilometer, rail undaform abrasion situation, rail profile abrasion shape, railway roadbed Situation；And Rail Surface situation, rail undaform abrasion situation, the rail profile abrasion shape of kilometer are keeped in repair according to the emphasis The reason for condition, railway roadbed situation determine the existing disease of emphasis maintenance kilometer.

Preferably, the corresponding Second Threshold includes Rail Surface threshold value, rail undaform abrasion threshold value, rail profile Abrasion threshold value, railway roadbed threshold value, and it is described respectively according to the Rail Surface status data, rail undaform abrasion shape Condition, rail profile abrasion status data, the railway roadbed status data and corresponding Second Threshold determine the emphasis dimension Repairing the Rail Surface situation of kilometer, rail undaform abrasion situation, rail profile abrasion situation, railway roadbed situation includes：According to institute Rail Surface status data and the Rail Surface threshold value are stated, determines that the emphasis keeps in repair the Rail Surface situation of kilometer；Root Status data and rail undaform abrasion threshold value are worn away according to the rail undaform, the emphasis maintenance kilometer is determined Rail undaform wears away situation；Status data and rail profile abrasion threshold value are worn away according to rail profile, it is determined that described The rail profile abrasion situation of emphasis maintenance kilometer；And according to railway roadbed status data and the railway roadbed threshold value, it is determined that described Emphasis keeps in repair the railway roadbed situation of kilometer.

Preferably, the method also includes：According to the emphasis keep in repair kilometer existing for disease the reason for determine it is described heavy The maintenance program of point maintenance kilometer.

Preferably, the method also includes：According to the track irregularity performance figure (TQI) of this month of the emphasis maintenance kilometer The TQI values and T values of the last month of value and T values and the emphasis maintenance kilometer, evaluates repair quality grade, and according to the dimension evaluated Repair credit rating and determine that next month keeps in repair the maintenance program of kilometer to the emphasis, wherein per kilometer of 5 200 meters of cellular zones for being included The TQI values sum of section is T values.

Correspondingly, present invention also offers rail track Quality Monitoring Control System, the system includes：Track inspection car, is used for Detection track condition simultaneously generates track condition data；Emphasis keeps in repair kilometer determining module, for according to the track condition data Determine that emphasis keeps in repair kilometer, the emphasis maintenance kilometer is the kilometer section that there is disease in rail track；And disease causes Determining module, the disease according to existing for the track condition data and corresponding first threshold determine the emphasis maintenance kilometer The reason for evil.

Preferably, the emphasis maintenance kilometer determining module includes：First determining unit, for determining line quality grade Kilometer section for preferential kilometer or plan kilometer is that emphasis keeps in repair kilometer；Second determining unit, for determining line quality point Number is that emphasis keeps in repair kilometer for kilometer section that is qualified or overstepping the bounds；And the 3rd determining unit, there is target offset for determining The kilometer section of this month deviation levels of kilometer section more than grade and the difference of deviation levels last month more than or equal to zero is attached most importance to Point maintenance kilometer.

Preferably, first determining unit is used for：According to the track condition data calculate kilometer section track not Smooth-going performance figure (TQI) value；Calculated according to the TQI values, wherein the TQI of per kilometer of 5 200 meters of unit section for being included Value sum is T values；And determine that line quality grade is preferential kilometer or plans kilometer, the track condition according to the T values Data include TQI components；Second determining unit is used for：Determine the circuit of this kilometer of section according to the track condition data Mass fraction is qualified or oversteps the bounds；3rd determining unit is used for：Determined to have according to the track condition data and made a reservation for partially Kilometer section more than difference grade, compares this month deviation levels and last month that this has more than target offset grade kilometer section Deviation levels, determine should have in advance in the case where this month deviation levels and deviation levels last month are more than or equal to zero It is that emphasis keeps in repair kilometer to determine kilometer sections more than deviation levels.

Preferably, the disease causes determining module is used for：Include TQI components, Yi Jisuo in the track condition data In the case of stating management value of the corresponding first threshold including track irregularity performance figure (TQI) value and T values, according to the rail Road status data calculates the TQI values and T values of the emphasis maintenance kilometer, by the TQI values for being calculated and T values and the TQI values and T The management value of value compares, the reason for disease according to existing for comparative result determines emphasis maintenance kilometer, wherein per kilometer Comprising the TQI values sum of 5 200 meters of unit sections be T values.

Preferably, the disease causes determining module is used for：The track condition data include gauge, level, height, Rail to, twist irregularity, car body Vertical Acceleration and lateral vibration acceleration, and the corresponding first threshold includes rail Away from threshold value, level thresholds, high-low threshold value, rail to threshold value, twist irregularity threshold value, car body Vertical Acceleration threshold value and transverse-vibration In the case of dynamic acceleration rate threshold, the track condition data and corresponding first threshold are compared, according to comparing knot The reason for fruit determines the disease existing for the emphasis maintenance kilometer.

Preferably, the system also includes：Rail polling system, for detecting Rail Surface situation and generating Rail Surface shape Condition data；Rail corrugation system, for detecting rail undaform abrasion situation and generating rail undaform abrasion status data；Steel Rail section wears away system, for detecting rail profile abrasion situation and generating rail profile abrasion status data；Roadbed railway roadbed is examined Examining system, for detecting railway roadbed situation and generating railway roadbed status data；Monitoring module, for respectively according to the Rail Surface shape Condition data, the rail undaform abrasion status data, the rail profile abrasion status data, the railway roadbed status data with And corresponding Second Threshold determines that the Rail Surface situation of the emphasis maintenance kilometer, rail undaform abrasion situation, rail break Face abrasion situation, railway roadbed situation；And the disease causes determining module is additionally operable to keep in repair the rail of kilometer according to the emphasis Surface appearance, rail undaform abrasion situation, rail profile abrasion situation, railway roadbed situation determine that the emphasis keeps in repair the institute of kilometer The reason for disease of presence.

Preferably, the corresponding Second Threshold includes Rail Surface threshold value, rail undaform abrasion threshold value, rail profile Threshold value, railway roadbed threshold value are worn away, and the monitoring module is used for：According to the Rail Surface status data and the rail table Face threshold value, determines that the emphasis keeps in repair the Rail Surface situation of kilometer；According to the rail undaform wear away status data and The rail undaform wears away threshold value, determines the rail undaform abrasion situation of the emphasis maintenance kilometer；According to rail profile Abrasion status data and rail profile abrasion threshold value, determine the rail profile abrasion situation of the emphasis maintenance kilometer； And according to railway roadbed status data and the railway roadbed threshold value, determine that the emphasis keeps in repair the railway roadbed situation of kilometer.

Preferably, the disease causes determining module is additionally operable to：Disease according to existing for the emphasis keeps in repair kilometer Reason determines that the emphasis keeps in repair the maintenance program of kilometer.

Preferably, the system also includes：Comprehensive maintenance quality assessment module, for keeping in repair this month of kilometer according to the emphasis Track irregularity performance figure (TQI) value and T values and emphasis maintenance kilometer last month TQI values and T values, evaluation keeps in repair Credit rating, wherein the TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values；The disease causes determine Module is additionally operable to determine that next month keeps in repair the emphasis maintenance program of kilometer according to the repair quality grade evaluated.

The rail track quality control method provided using the present invention and system, by obtaining track condition data, root Determine that (emphasis keeps in repair kilometer for the kilometer that there is disease in rail track to emphasis maintenance kilometer according to the track condition data Section), and according to existing for the track condition data and corresponding first threshold determine the emphasis maintenance kilometer The reason for disease, the reason for there is the disease can be determined while the kilometer section that there is disease is found, be realized to railway Line quality more comprehensively, rationally, is scientifically monitored, there is provided high-quality maintenance, it is ensured that the safe operation of railway.

Other features and advantages of the present invention will be described in detail in subsequent specific embodiment part.

Description of the drawings

Accompanying drawing is, for providing a further understanding of the present invention, and to constitute the part of specification, with following tool Body embodiment is used to explain the present invention together, but is not construed as limiting the invention.In the accompanying drawings：

Fig. 1 is a kind of structural representation of the rail track Quality Monitoring Control System of embodiment of the invention；

Fig. 2A and 2B are the Rail Surface situations that rail polling system detectio is arrived；

Fig. 3 A-3J are a kind of numbers for detecting of the rail track Quality Monitoring Control System of embodiment of the invention According to；And

Fig. 4 is a kind of example flow diagram of the rail track quality control method of embodiment of the invention.

Specific embodiment

The specific embodiment of the present invention is described in detail below in conjunction with accompanying drawing.It should be appreciated that this place is retouched The specific embodiment stated is merely to illustrate and explains the present invention, is not limited to the present invention.

Will be exemplified below the present invention thought, it is to be understood that these examples be non-limiting example, the present invention Protection domain not limited to this：

In order to clearly illustrate the thought of the present invention, carry out in detail by taking rail track Quality Monitoring Control System as an example It is bright.

Fig. 1 is a kind of structural representation of the rail track Quality Monitoring Control System of embodiment of the invention, such as Fig. 1 Shown, the system includes：Track inspection car 100, for detecting track condition and generating track condition data；Emphasis keeps in repair kilometer Determining module 200, for determining that emphasis keeps in repair kilometer according to the track condition data, the emphasis maintenance kilometer is railway line There is the kilometer section of disease in road；And disease causes determining module 300, according to track condition data and corresponding The reason for first threshold determines the disease existing for the emphasis maintenance kilometer.Wherein, the use of track inspection car 100 and function It is similar to prior art, in order to not obscure protection scope of the present invention, will not be described here.

Using such embodiment, the diseases of railway line origin cause of formation is can determine, improve Disease Treatment efficiency, and to rail smooth State makes more science, reasonable, comprehensively judge, is that safe operation, the equipment solid of railway is conserved and realize that status maintenance is carried For reliable technical support.

Specifically, the emphasis maintenance kilometer determining module 200 can be determined in rail track according to different standards Which kilometer section carry out key monitoring and maintenance.A kind of embodiment of the invention, the emphasis maintenance kilometer is true Cover half block 200 can be with the first determining unit, for determining that line quality grade is preferential kilometer or the kilometer section for planning kilometer Kilometer is keeped in repair for emphasis；Second determining unit, for determining that line quality fraction is that kilometer section that is qualified or overstepping the bounds is attached most importance to Maintenance kilometer；And the 3rd determining unit, for determining with this month deviation of kilometer section more than target offset grade etc. Kilometer section of the difference of level and deviation levels last month more than or equal to zero is that emphasis keeps in repair kilometer.

Wherein, first determining unit is used for：It is uneven according to the track that the track condition data calculate kilometer section Along performance figure (TQI) value；T values are calculated according to the TQI values, wherein per kilometer of 5 200 meters of unit section for being included TQI values sum is T values, and calculating the detailed process of TQI and T values, similar to the state of the art (T values are according to unit section What interior TQI values determined more than the degree of correspondence management value), those skilled in the art can enter according to the common knowledge of this area Row is calculated.Afterwards, determine that line quality grade is preferential kilometer or plans kilometer, the track condition data according to the T values Including TQI components.

Specifically, according to《Railway maintenance rule》, every kilometer of T value=0 is then balanced kilometer；0 ＜ T≤100, then be meter Draw kilometer；T ＞ 100, then be preferential kilometer.If this kilometer of section of this month is " preferential kilometer or plan kilometer ", described the One determining unit can determine this kilometer of section and keep in repair kilometer for emphasis.Or, if being " balanced public one kilometer of section last month In ", and this month is " preferential kilometer or plan kilometer ", then first determining unit can determine this kilometer of section for emphasis dimension Repair kilometer.

For example, table 1 shows the track condition data including TQI components, and table 2 is shown according to TQI values and T values really Alignment road credit rating."-" represents the decline of line quality chain rate wherein in the hurdle of Long-term change trend one；"+" represents line quality chain rate Rise；It is constant that " 0 " represents line quality chain rate.As shown in table 2, mileage 40 and 489 can be determined that emphasis keeps in repair kilometer.

Table 1 includes the track condition data of TQI components

The line quality grade of table 2

Line name

Row is other

Mileage (km)

Last month is evaluated

This month, is evaluated

Last month T values

This month T value

Long-term change trend

North yellow line

It is up

40

Balanced kilometer

Plan kilometer

0

40

-

North yellow line

It is up

489

Balanced kilometer

Plan kilometer

0

40

-

North yellow line

It is up

4

Plan kilometer

Balanced kilometer

40

0

+

North yellow line

It is up

6

Plan kilometer

Balanced kilometer

40

0

+

North yellow line

It is up

18

Plan kilometer

Balanced kilometer

40

0

+

North yellow line

It is up

131

Plan kilometer

Balanced kilometer

40

0

+

North yellow line

It is up

132

Preferential kilometer

Balanced kilometer

80

0

+

North yellow line

It is up

43

Plan kilometer

Balanced kilometer

172

0

+

North yellow line

It is up

142

Plan kilometer

Balanced kilometer

40

0

+

North yellow line

It is up

147

Plan kilometer

Balanced kilometer

80

0

+

Wherein, second determining unit is used for：Determine the circuit matter of this kilometer of section according to the track condition data Amount fraction is qualified or oversteps the bounds that the track condition data can include《Railway maintenance rule》Specified in any data.Tool Body ground, according to《Railway maintenance rule》Can give a mark to line quality, that is, obtain line quality fraction：It is excellent, qualified, overstep the bounds, Zero, wherein prior art are similar, and those skilled in the art can be calculated according to the common knowledge of this area, and here is no longer Repeat.If the line quality fraction of one kilometer of section is qualified or oversteps the bounds that the second determining unit can determine this kilometer of area Section keeps in repair kilometer for emphasis, and the first day of the lunar month Huang downgoing line as shown in table 3 is changed into qualified situation, therefore the line due to existing from excellent Road section is that emphasis keeps in repair kilometer.For example, every deviation levels are divided into level Four：I levels are maintenance standard, often occur to detain 1 at one Point；II grade is comfort criterion, often occurs to detain 5 points at one；III grade is urgent repair standard, often occurs to detain 100 points at one；IV grade For standard of the limited speed, often occur to detain 301 points at one.It is every with every km when evaluating the irregularity state per km circuit by peak value The summation of deviation deduction of points at different levels is evaluating.Evaluation criteria is that excellent-deduction of points is total within 50 points, qualified：Deduction of points sum exists 51-300 points, overstep the bounds：Deduction of points sum is more than 300 points.When evaluating the irregularity state per km circuit by peak value, with per thousand The summation of the every deviation deduction of points at different levels of rice is evaluating.Evaluation criteria is that excellent-deduction of points is total within 50 points, qualified：Deduction of points is total Number oversteps the bounds at 51-300 points：Deduction of points sum is more than 300 points.

The line quality fraction of table 3 changes

Wherein, the 3rd determining unit is used for：Determine that there is target offset grade (II according to the track condition data Level) more than kilometer section, compare this month deviation levels that this has more than target offset grade kilometer section and last month be inclined Difference grade, determining in the case where this month deviation levels and deviation levels last month are more than or equal to zero should be with predetermined Kilometer sections more than deviation levels is that emphasis keeps in repair kilometer.Wherein deviation levels are divided into level Four：I levels are maintenance standard；Ⅱ Level is comfort criterion；III grade is urgent repair standard；IV grade is standard of the limited speed.3rd determining unit will compare with II levels with On kilometer section this month deviation levels and deviation levels last month, if deviation levels are uprised, for example, rise to III from II levels Level or IV grade, or keep II levels, then Unit the 3rd keeps in repair kilometer it was determined that this kilometer of section is emphasis.

Both using any one of above-mentioned first determining unit, the second determining unit, the 3rd determining unit, or arbitrarily Combination, or three kinds combination, it may be determined that in the rail track of numerous monitoring which be emphasis keep in repair kilometer, i.e., it is described heavy Point maintenance kilometer is the kilometer section that there is disease in rail track, needs further to be analyzed and keep in repair.

The monitoring that kilometer is keeped in repair to an emphasis is detailed below：

The disease causes determining module 300 of the system determines that emphasis maintenance kilometer has disease using various ways The reason for.

A kind of embodiment of the invention, in the track condition data TQI components are included, and described corresponding In the case that first threshold includes the management value of track irregularity performance figure (TQI) value and T values, disease causes determining module 30 The TQI values and T values of the emphasis maintenance kilometer can be calculated according to the track condition data, by the TQI values for being calculated and T values Compare with the management value of the TQI values and T values, the original of the disease according to existing for comparative result determines the emphasis maintenance kilometer Cause, wherein the TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values.I.e. in the TQI values and T values for being calculated In the case of management value more than the TQI values and T values, the disease causes that emphasis keeps in repair kilometer are determined that it is.

A kind of embodiment of the invention, the track condition data include gauge, level, height, rail to, three (oscillogram that i.e. track inspection car is detected belongs to existing for angle hole, car body Vertical Acceleration and lateral vibration acceleration Technology), and the corresponding first threshold include gauge threshold value, level thresholds, high-low threshold value, rail to threshold value, twist irregularity threshold In the case of value, car body Vertical Acceleration threshold value and lateral vibration acceleration threshold value, disease causes determining module 300 can So that the track condition data and corresponding first threshold to be compared, determine that the emphasis maintenance is public according to comparative result In existing disease the reason for.I.e. in the case where the data component for receiving exceedes corresponding first threshold, determine that it is Emphasis keeps in repair the disease causes of kilometer.For example level exceed level thresholds, then emphasis maintenance kilometer disease causes be level not It is good.

It is analyzed to keep in repair kilometer to emphasis more comprehensively, the rail track Quality Monitoring Control System that the present invention is provided is also Can include：Rail polling system, for detecting Rail Surface situation and generating Rail Surface status data；Rail corrugation system System, for detecting rail undaform abrasion situation and generating rail undaform abrasion status data；Rail profile wears away system, uses Situation is worn away in detection rail profile and generate rail profile abrasion status data；Roadbed railway roadbed detecting system, for detecting Bed situation simultaneously generates railway roadbed status data；Monitoring module, for respectively according to the Rail Surface status data, the rail ripple Wave type abrasion status data, rail profile abrasion status data, the railway roadbed status data and corresponding Second Threshold Determine Rail Surface situation, rail undaform abrasion situation, rail profile abrasion situation, the railway roadbed shape of the emphasis maintenance kilometer Condition；And the disease causes determining module is additionally operable to keep in repair Rail Surface situation, the rail wave of kilometer according to the emphasis The reason for type abrasion situation, rail profile abrasion situation, railway roadbed situation determine the existing disease of the emphasis maintenance kilometer. Wherein, rail polling system, rail corrugation system, rail profile abrasion system, roadbed railway roadbed detecting system are in prior art The system of presence, its Cleaning Principle and process it is same as the prior art, in order to not obscure protection scope of the present invention, here is not Repeat again.

Specifically, the corresponding Second Threshold includes Rail Surface threshold value, rail undaform abrasion threshold value, rail profile Threshold value, railway roadbed threshold value are worn away, and the monitoring module is used for：According to the Rail Surface status data and the rail table Face threshold value, determines that the emphasis keeps in repair the Rail Surface situation of kilometer；According to the rail undaform wear away status data and The rail undaform wears away threshold value, determines the rail undaform abrasion situation of the emphasis maintenance kilometer；According to rail profile Abrasion status data and rail profile abrasion threshold value, determine the rail profile abrasion situation of the emphasis maintenance kilometer； And according to railway roadbed status data and the railway roadbed threshold value, determine that the emphasis keeps in repair the railway roadbed situation of kilometer.For example, if Rail Surface status data exceedes Rail Surface threshold value and then can determine that the Rail Surface situation of emphasis maintenance kilometer is deposited for equipment In exception；If rail undaform abrasion status data exceedes rail undaform and wears away threshold value, the emphasis dimension is can determine Repair the rail undaform abrasion situation of kilometer transfinites for rail Corrugation；If rail profile abrasion status data exceedes institute Rail profile abrasion threshold value is stated, then the rail profile abrasion situation that can determine the emphasis maintenance kilometer is rail profile abrasion Transfinite；And if railway roadbed status data exceedes the railway roadbed threshold value, then can determine that the emphasis keeps in repair the railway roadbed shape of kilometer Condition is that thickness of ballast bed is not enough.

Also, the disease causes determining module 300 is additionally operable to：Disease according to existing for the emphasis keeps in repair kilometer Reason determines that the emphasis keeps in repair the maintenance program of kilometer.For example corresponding to the disease causes that level is bad, to this kilometer of section Keeped in repair.

By such embodiment, disease causes determining module 300 can consider the data that detect and to disease Evil reason is carried out comprehensively, multi-angle, it is multi-level, multi-specialized analyze, by comprehensive analysis, realize the same space-time number of different majors According to comprehensive analysis, the diseases of railway line origin cause of formation is searched, improve Disease Treatment efficiency, and more science, conjunction are made to rail smooth state Reason, comprehensively judge, conserve for the safe operation of railway, equipment solid and realize that status maintenance provides reliable technical support.

Two embodiments are set forth below and describe above-mentioned thought：

Embodiment 1

(1) the up K8+000～K9+000 kilometers section of north yellow line is defined as planning kilometer, disease causes by first module Determining module 300 can be determined keep in repair kilometer for emphasis.

1. line facility basic condition

The kilometer is located between Shenchi County south～Ningwu West, comprising the bridge of the Wang Hu village two, the long 206.6m of bridge, bridge center mileage K8+117；Linear predominantly straight Qu Xianglian, curve is in K8+516.29～K8+979.41, curve element R=600, length L= 463.12, height H=75, depth l=120,75kg/m rail gapless tracks, type III sleeper, line slope is descending, the gradient For 8.0 ‰.Above-mentioned basic condition can be obtained according to the record of system storage or measurement.

2. diseases of railway line deduction of points situation (i.e. determination deviation grade)：The kilometer deduction of points amounts to 1 point.Refer to table 4：

The Deviation Type statistical form of table 4

Row is other	Deviation Type	Mileage (km)	Amplitude (mm/g)	Grade	Line style
						It is up	Level	8.921	8.68	I grade	Top easement curve

3. line conditioning quality condition (disease causes determining module determines emphasis maintenance kilometer the reason for there is disease)：It is flat Equal TQI=10.63, T=50.Refer to table 5：

The average TQI of the circuit of table 5 and individual event subscale

Wherein, K8+800～K9+000 units, TQI=15.72, TQI management value is 14, super management value 12.29%, T₂₀₀ =50.The super management value 2.5 of the right high harmonic components of unit TQI, surpasses 17.6%；The right rails of TQI surpass to the super management value 1.8 of component 7.8%；The super management value 1.9 of TQI horizontal components, surpasses 69.5%；The super management value 2.0 of TQI twist irregularity components, surpasses 10%；Cause this Unit TQI exceeded main cause is that level is bad.To sum up analyze, disease causes determining module can determine that the kilometer is mainly sick Evil is that level is bad.

4. (i.e. track condition data include that gauge, level, height, rail are vertical to, twist irregularity, car body to Detecting wave Vibration acceleration and lateral vibration acceleration)

This kilometer of disease is mainly manifested in curve tail, is mainly shown as that height is continuous bad, causes level big and small, makes It is more into little twist irregularity, track entirety ride comfort difference and Bad orientation.

5. rail polling network analysis

As shown in Figure 2 A, by rail polling system detectio situation assistant analysis, such as by the Rail Surface shape for collecting Condition data (such as the image shown in Fig. 2A) are compared with Rail Surface threshold value, wherein suitably image can be carried out to image Process, to extract the information of feature, for example, threshold value can be defined by the form of image histogram.According to the Rail Surface Status data and the Rail Surface threshold value, determine that the emphasis keeps in repair the Rail Surface situation of kilometer and is：This section rail, Fastener and other equipment no abnormality seen.

6. rail corrugation detecting system analysis

By rail corrugation system detectio situation assistant analysis, status data and the steel are worn away according to rail undaform Rail undaform wears away threshold value, determines the rail undaform abrasion situation of the emphasis maintenance kilometer：Due to the abrasion of rail undaform Status data is between rail undaform abrasion threshold value (0～0.13mm), thus may determine that abrasion are not transfinited.

7. roadbed railway roadbed detecting system analysis

By roadbed ballast bed system detection case assistant analysis, according to railway roadbed status data and the railway roadbed threshold value, really The fixed emphasis keeps in repair the railway roadbed situation of kilometer：This kilometer of railway roadbed has 605m thickness not enough, wherein comprising 75m thickness of ballast bed severes Deficiency, 35m thickness of ballast bed moderate is not enough, the bottom surface out-of-flatness of 10m railway roadbeds.

The above analysis, disease causes determining module can determine the existing disease of the emphasis maintenance kilometer Reason is：This kilometer of disease occurs mainly in 3 in Curve Segment.Railway roadbed local thickness is not enough, and main performance disease is that level is bad, Secondly be height, twist irregularity, rail to.Preferably, disease causes determining module can determine that the emphasis keeps in repair the maintenance of kilometer Scheme is：Advise that the kilometer is conserved to K8+800～K9+000 units emphasis.

Embodiment 2

(2) the descending K580+000～K581+000 kilometers section of north yellow line is defined as planning kilometer, disease by first module Reason determining module 300 can be determined keep in repair kilometer for emphasis.

1. line facility basic condition

The kilometer is located at PORT OF HUANGHUA --- between the South of Huanghua, linear predominantly S curve, curve in K580+936.16～ K580+556.44, R=400, L=379.72, H=85, l=90, K580+520.72～K580+256.19, R=400, L= 264.53, H=85, l=90；60kg/m rail common lines, II type sleeper, line slope is continuous upward slope, and the gradient is 3.6‰---3.06‰---3.56‰。

2. diseases of railway line deduction of points situation (i.e. determination deviation grade)：The kilometer deduction of points amounts to 13 points.Refer to table 6：

The Deviation Type statistical form of table 6

Row is other	Deviation Type	Mileage (km)	Amplitude (mm/g)	Grade	Line style
						It is descending	Left rail to	580.301	8.17	I grade	Top easement curve
It is descending	Right rail to	580.326	8.72	I grade	Circular curve
						It is descending	Left rail to	580.351	11.62	II grade	Circular curve
It is descending	Right rail to	580.351	11.48	II grade	Circular curve

This kilometer detects that altogether 4 transfinite, wherein 2 I grade of rails are to accounting for transfinites 50%；2 II grade of rails are to accounting for transfinites 50%, this kilometer of deduction of points main cause is rail to bad.

3. line conditioning quality condition (disease causes determining module determines emphasis maintenance kilometer the reason for there is disease)：It is flat Equal TQI=11.08, T=40.Refer to table 7：

The average TQI of the circuit of table 7 and individual event subscale

Wherein, K580+200～K580+400 units TQI=15.39, TQI management value 14, super management value 9.9%, T₂₀₀= 40；Unit TQI rails surpass 4% to the super management value 1.5 of component；Left and right rail surpasses to component and more than management 2 × 1.8=3.6 of value 70.8%, wherein right rail is to component 3 .08, super individual event component 71.1%；Left rail is to component 3 .09, super individual event component 71.67%. The super management value 1.9 of unit TQI horizontal components, super individual event component 18.95%.The super management value 2.0 of twist irregularity component, super individual event point Amount 21%.It is rail to bad to make the exceeded main causes of cost-element TQI.

K580+600～K580+800 unit TQI=11.17；The left and right rails of unit TQI are to component and more than management value 2 × 1.8=3.6, surpasses 17.7%, wherein right rail is to component 2.18, super individual event component 21.1%；Left rail is to component 2.06, super individual event Component 14.4%..It is rail to bad to make cost-element TQI main causes bigger than normal.

K580+800～K581+000 unit TQI=10.02；The left and right rails of unit TQI to component and super management value 2 × 1.8=3.6, surpasses 10.3%, wherein left rail is to TQI individual events component 2.07, super individual event component 15%, right rail is to TQI individual event components Equal to management value 1.9.It is rail to bad to make cost-element TQI main causes bigger than normal.

To sum up analyze, disease causes determining module can determine this kilometer of Major Diseases be rail to, level, twist irregularity not It is good.

This kilometer of Major Diseases are shown on two curves.Gauge is big and small, causes rail to continuous bad, and curvilinear circular is suitable Property it is poor, cause transverse acceleration change it is relatively obvious；Just bad, level is big and small, causes twist irregularity more, and track is put down It is pliable poor.

5. rail polling network analysis

As shown in Figure 2 B, by rail polling system detectio situation assistant analysis, such as by the Rail Surface shape for collecting Condition data (such as the image shown in Fig. 2 B) are compared with Rail Surface threshold value, wherein suitably image can be carried out to image Process, to extract the information of feature, for example, threshold value can be defined by the form of image histogram.According to the Rail Surface Status data and the Rail Surface threshold value, determine that the emphasis keeps in repair the Rail Surface situation of kilometer and is：Rail Surface bar Shape is peeled off, ballast contamination.

6. rail corrugation detecting system analysis

By rail corrugation system detectio situation assistant analysis, status data and the steel are worn away according to rail undaform Rail undaform wears away threshold value, determines the rail undaform abrasion situation of the emphasis maintenance kilometer：This kilometer of rail corrugation amplitude Most of (to be more than corresponding rail profile and wear away threshold value) between 0.1～0.24mm, wherein circular curve ripple grinds amplitude between 0.28 ～0.38mm (in the range of correspondence threshold value), thus may determine that belonging to slight ripple mill.

7. roadbed railway roadbed detecting system analysis

By roadbed ballast bed system detection case assistant analysis, according to railway roadbed status data and the railway roadbed threshold value, really The fixed emphasis keeps in repair the railway roadbed situation of kilometer：This kilometer of railway roadbed has 410m thickness not enough, and railway roadbed pollution is more serious；Partly Section has the bottom surface out-of-flatness of 20m railway roadbeds；There is 140m for possible aqueous location.

The above analysis, disease causes determining module can determine the existing disease of the emphasis maintenance kilometer Reason is：This kilometer of disease occurs mainly in 3 in Curve Segment.Ballast contamination, Rail Surface strip is peeled off and slight ripple mill；Mainly Disease shows as level, twist irregularity, rail to curvilinear circular is pliable poor, wherein K580+200～K580+400 units state Serious bad, track entirety ride comfort is poor, and dynamic acceleration local acknowledgement is obvious, it is preferable that disease causes determining module can It is to determine that the emphasis keeps in repair the maintenance program of kilometer：Advise this kilometer of comprehensive maintenance.

Embodiment 3

(3) K4+000～K5+000 kilometers section is defined as planning kilometer, disease causes determining module 300 by first module Can be determined keep in repair kilometer for emphasis.Rail profile abrasion system, the analysis of other systems are mainly illustrated in embodiment 3 It is not described in detail and (such as rail polling system, rail corrugation system, roadbed is described in detail in above-described embodiment 1-2 Railway roadbed detecting system).

1. circuit basic condition：The kilometer is located between Shenchi County south～Ningwu West；Comprising doggie ravine tunnel, the long 435m of tunnel, Tunnel center mileage K4+850；It is linear to be connected for right and wrong, curve mileage K3+977.73～K4+363.43, R=400m, L= 385.7m, H=85mm, l=120m, K4+415.86～K4+654.22, R=400m, L=238.36m, H=85mm, l= 90m, K4+849.10～K5+354.85, R=500m, L=505.75m, H=80mm, l=110m；75kg/m rail Sutureless Road, II type sleeper, circuit be long and steep downgrade location, the gradient 9.5 ‰～8.0 ‰.

2. diseases of railway line deduction of points situation (i.e. determination deviation grade)：At II grade of deviation 1 of the kilometer, at I grade of deviation 2, altogether 7 points of deduction of points.

3. rail polling network analysis

As shown in Figure 3A, by rail polling system detectio situation assistant analysis, such as by the Rail Surface shape for collecting Condition data (such as the image shown in Fig. 3 A) are compared with Rail Surface threshold value, wherein suitably image can be carried out to image Process, to extract the information of feature, for example, threshold value can be defined by the form of image histogram.According to the Rail Surface Status data and the Rail Surface threshold value, determine that the emphasis keeps in repair the Rail Surface situation of kilometer and is：Individual lot steel The presence of rail rail level continuously peels off block.

4. rail corrugation detecting system analysis

By rail corrugation system detectio situation assistant analysis, status data and the steel are worn away according to rail undaform Rail undaform wears away threshold value, determines the rail undaform abrasion situation of the emphasis maintenance kilometer：Ripple grinds RMS averages 0.12mm。

5. roadbed railway roadbed detecting system analysis

By roadbed ballast bed system detection case assistant analysis, according to railway roadbed status data and the railway roadbed threshold value, really The fixed emphasis keeps in repair the railway roadbed situation of kilometer：K4+582～K5+000 is doggie ravine tunnel.The location railway roadbed is overall relatively to be cleaned； K4+400～K4+500 left channel thickness of ballast bed is slightly not enough：Transfinite without amplitude and bottom surface out-of-flatness location；In radar image Without obvious sinking location.Fig. 3 B- Fig. 3 E are referred to, wherein, Fig. 3 B and Fig. 3 D respectively illustrate roadbed railway roadbed form legend；Fig. 3 C show Subchannel ballast contamination index contrast figure is gone out, Fig. 3 E show thickness of ballast bed subchannel comparison diagram.

6. Detecting wave, Fig. 3 F show example track condition data, and the track condition data include gauge, water Flat, height, rail to, twist irregularity, car body Vertical Acceleration and lateral vibration acceleration, as illustrated in Figure 3 F, curve K4+ 849.10～K5+354.85, curve element is R=500m, h=80mm, L=505.75m, l=110m；Measured by oscillogram Curvature passage, circular curve incurvature minimum 2radpkm, maximum 2.07radpkm are calculated in circular curve according to formula and surveyed Versed sine minimum 100mm, maximum 103.5mm, versed sine minimax difference and continuous versed sine difference be not exceeded in circular curve；According to R It is 100mm that=500m calculates plan versed sine in circular curve.Additionally, curvature waveform shows, ZH (HZ) places without recurvation, gooseneck boom, Curvilinear circular compliance is good, refers to Fig. 3 G～Fig. 3 I, and wherein Fig. 3 G show curve head, curvature 0.910radpkm；Fig. 3 H show In curve, curvature 0.020radpkm；Fig. 3 I show curve tail, curvature 0.040radpkm.

7. rail profile abrasion network analysis

System detectio situation assistant analysis are worn away by rail profile, status data and described is worn away according to rail profile Rail profile wears away threshold value, determines the rail profile abrasion situation of the emphasis maintenance kilometer：This section maximum side grinding 5.51mm, Invariably uniform side grinding phenomenon, refers to Fig. 3 J, and wherein LCEM represents rail side average, and LCEMORI represents rail side single-point peak Value.

8. wavy curve elementary analysis

Additionally, actual measurement radius 500m, plans radius 500m, actual measurement matches with plan, and the plan-position of curve changes not Greatly；Least favorable point refers to table 8 at K5+095 in curve.Wherein, check and owe superelevation Hc=11.8 × v²Max/R-H, by table 8 obtain highest permissible velocity v²Max, is updated to the formula, can obtain Hc=39.99mm, is not balanced according to relevant regulations Deficient superelevation not should be greater than threshold value 75mm, therefore the curve meets the requirements.

The example waveform curve element of table 8

The above analysis, disease causes determining module can determine the original of the disease existing for the emphasis maintenance kilometer Because：This kilometer of disease occurs mainly in 3 in Curve Segment, and K4+400～K4+500 left channel thickness of ballast bed is slightly not enough, rail Surface presence continuously peels off block；Major Diseases show as level, twist irregularity, rail to wherein K4+200～K4+400 units set Standby state is seriously bad, and track entirety ride comfort is poor, and car body dynamic acceleration local acknowledgement is obvious, it is preferable that disease causes Determining module can determine that the maintenance program of the emphasis maintenance kilometer is：Advise this kilometer of comprehensive maintenance.

It is further preferable that the system can also include：Comprehensive maintenance quality assessment module, for public according to the emphasis maintenance In this month track irregularity performance figure (TQI) value and T values and emphasis maintenance kilometer last month TQI values and T values, Repair quality grade is evaluated, wherein the TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values.The disease Reason determining module is additionally operable to determine that next month keeps in repair the emphasis maintenance program of kilometer according to the repair quality grade evaluated. Specifically, if track irregularity performance figure (TQI) value and T values of this month of the emphasis maintenance kilometer are more public than the emphasis maintenance In last month TQI values and T values it is big, then evaluate that repair quality is poor, next month also needs to carry out emphasis prison to emphasis maintenance kilometer Control and maintenance, vice versa.

Fig. 4 is a kind of example flow diagram of the rail track quality control method of embodiment of the invention, such as Fig. 4 Shown, the method may comprise steps of：

Step 1001, obtains track condition data；

Step 1002, determines that emphasis keeps in repair kilometer according to the track condition data, and the emphasis maintenance kilometer is railway There is the kilometer section of disease in circuit；And

Step 1003, according to the track condition data and corresponding first threshold the emphasis maintenance kilometer institute is determined The reason for disease of presence.

Preferably, it is described to determine that emphasis maintenance kilometer is included according at least in following according to the track condition data Person determines that emphasis keeps in repair kilometer：

Determine that line quality grade is preferential kilometer or plans the kilometer section of kilometer for emphasis maintenance kilometer；

Determine that line quality fraction is that kilometer section that is qualified or overstepping the bounds keeps in repair kilometer for emphasis；And

It is determined that the difference of this month deviation levels with kilometer section more than target offset grade and deviation levels last month is big In or null kilometer section be emphasis keep in repair kilometer.

Preferably, determine that line quality grade is preferential kilometer or plans the kilometer section of kilometer for emphasis maintenance kilometer bag Include：Track irregularity performance figure (TQI) value of kilometer section is calculated according to the track condition data；According to the TQI values T values are calculated, wherein the TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values；And according to the T values really Alignment road credit rating is preferential kilometer or plan kilometer, and the track condition data include TQI components；

Determine that line quality fraction is that kilometer section that is qualified or overstepping the bounds includes for emphasis maintenance kilometer：According to the track Status data determines that the line quality fraction of this kilometer of section is qualified or oversteps the bounds；

It is determined that the difference of this month deviation levels with kilometer section more than target offset grade and deviation levels last month is big It is that emphasis maintenance kilometer includes in null kilometer section：Determine that there is target offset grade according to the track condition data More than kilometer section, compare this and there are this month deviation levels and deviation last month of more than target offset grade kilometer section etc. Level, determines should there is target offset in the case where this month deviation levels and deviation levels last month are more than or equal to zero Kilometer section more than grade is that emphasis keeps in repair kilometer.

Preferably, it is described to determine the emphasis maintenance kilometer according to the track condition data and corresponding first threshold The reason for existing disease, includes：

Include TQI components in the track condition data, and the corresponding first threshold includes track irregularity matter In the case of the management value of volume index (TQI) value and T values, according to the track condition data emphasis maintenance kilometer is calculated TQI values and T values, the TQI values for being calculated and T values are compared with the management value of the TQI values and T values, are determined according to comparative result The reason for emphasis keeps in repair the disease existing for kilometer, wherein the TQI values of per kilometer of 5 200 meters of unit sections for being included Sum is T values.

The track condition data include gauge, level, height, rail to, twist irregularity, car body Vertical Acceleration with And lateral vibration acceleration, and the corresponding first threshold include gauge threshold value, level thresholds, high-low threshold value, rail to threshold In the case of value, twist irregularity threshold value, car body Vertical Acceleration threshold value and lateral vibration acceleration threshold value, by the track Status data is compared with corresponding first threshold, the disease according to existing for comparative result determines the emphasis maintenance kilometer The reason for evil.

It should be appreciated that each specific embodiment of above-mentioned rail track quality control method, exist in example Do in the embodiment of rail track Quality Monitoring Control System and explained (as described above), will not be described here.Also, this Art personnel can select any one of above-mentioned various embodiments with disclosure of the invention, or select above-mentioned each The combination of kind of embodiment is being configured, and other embodiments of replacing also fall into protection scope of the present invention.Additionally, It is to be further understood that the accompanying drawing and form shown in the present invention is exemplary non-limiting example, this is not intended to limit Bright protection domain.

The rail track quality control method provided using the present invention and system, can find the kilometer that there is disease The reason for there is the disease is determined while section, realizes more comprehensively, rationally, scientifically monitoring rail track quality, carried For high-quality maintenance, it is ensured that the safe operation of railway.

The preferred embodiment of the present invention is described in detail above in association with accompanying drawing, but, the present invention is not limited to above-mentioned reality The detail in mode is applied, in the range of the technology design of the present invention, various letters can be carried out to technical scheme Monotropic type, these simple variants belong to protection scope of the present invention.

It is further to note that each particular technique feature described in above-mentioned specific embodiment, in not lance In the case of shield, can be combined by any suitable means, in order to avoid unnecessary repetition, the present invention to it is various can The combination of energy is no longer separately illustrated.

Additionally, can also be combined between a variety of embodiments of the present invention, as long as it is without prejudice to this The thought of invention, it should equally be considered as content disclosed in this invention.

Claims

1. a kind of rail track quality control method, it is characterised in that the method includes：

Obtain track condition data；

Determine that emphasis keeps in repair kilometer according to the track condition data, the emphasis maintenance kilometer is there is disease in rail track Kilometer section；And

Disease according to existing for the track condition data and corresponding first threshold determine the emphasis maintenance kilometer Reason.

2. method according to claim 1, it is characterised in that described to determine that emphasis is keeped in repair according to the track condition data Kilometer is included according at least one of following determination emphasis maintenance kilometer：

It is determined that the difference of this month deviation levels with kilometer section more than target offset grade and deviation levels last month be more than or Null kilometer section is that emphasis keeps in repair kilometer.

3. method according to claim 2, it is characterised in that determine line quality grade for preferential kilometer or plan kilometer Kilometer section be emphasis maintenance kilometer include：The track irregularity quality of kilometer section is calculated according to the track condition data Index (TQI) value；According to the TQI values calculate T values, wherein the TQI values of per kilometer of 5 200 meters of unit sections for being included it With for T values；And determine that line quality grade is preferential kilometer or plans kilometer, the track condition data according to the T values Including TQI components；

Determine that line quality fraction is that kilometer section that is qualified or overstepping the bounds includes for emphasis maintenance kilometer：According to the track condition Data determine that the line quality fraction of this kilometer of section is qualified or oversteps the bounds；

It is determined that the difference of this month deviation levels with kilometer section more than target offset grade and deviation levels last month more than etc. Kilometer section in zero includes for emphasis maintenance kilometer：Determine have more than target offset grade according to the track condition data Kilometer section, compare this month deviation levels and deviation levels last month with more than target offset grade kilometer section, Determine there should be target offset etc. in the case where this month deviation levels and deviation levels last month are more than or equal to zero Kilometer section more than level is that emphasis keeps in repair kilometer.

4. method according to claim 1, it is characterised in that described according to the track condition data and corresponding The reason for one threshold value determines the disease existing for the emphasis maintenance kilometer includes：

Include TQI components in the track condition data, and the corresponding first threshold refers to including track irregularity quality In the case of the management value of number (TQI) value and T values, according to the track condition data TQI that the emphasis keeps in repair kilometer is calculated Value and T values, the TQI values for being calculated and T values are compared with the management value of the TQI values and T values, according to comparative result determines The reason for emphasis keeps in repair the disease existing for kilometer, wherein the TQI value sums of per kilometer of 5 200 meters of unit sections for being included For T values.

5. the method according to claim 1 or 4, it is characterised in that described according to the track condition data and correspondence First threshold include the reason for determine the disease existing for emphasis maintenance kilometer：

The track condition data include gauge, level, height, rail to, twist irregularity, car body Vertical Acceleration and horizontal stroke To vibration acceleration, and the corresponding first threshold include gauge threshold value, level thresholds, high-low threshold value, rail to threshold value, three In the case of angle hole threshold value, car body Vertical Acceleration threshold value and lateral vibration acceleration threshold value, by the track condition Data are compared with corresponding first threshold, the disease according to existing for comparative result determines the emphasis maintenance kilometer Reason.

6. method according to claim 5, it is characterised in that the method also includes：

Obtain Rail Surface status data；

Obtain rail undaform abrasion status data；

Obtain rail profile abrasion status data；

Obtain railway roadbed status data；

Respectively according to the Rail Surface status data, rail undaform abrasion status data, rail profile abrasion Status data, the railway roadbed status data and corresponding Second Threshold determine that the emphasis keeps in repair the Rail Surface shape of kilometer Condition, rail undaform abrasion situation, rail profile abrasion shape, railway roadbed situation；And

Rail Surface situation, rail undaform abrasion situation, rail profile abrasion situation, the road of kilometer are keeped in repair according to the emphasis The reason for bed situation determines the existing disease of emphasis maintenance kilometer.

7. method according to claim 6, it is characterised in that the corresponding Second Threshold include Rail Surface threshold value, Rail undaform abrasion threshold value, rail profile abrasion threshold value, railway roadbed threshold value, and it is described respectively according to the Rail Surface situation Data, rail undaform abrasion situation, rail profile abrasion status data, the railway roadbed status data and correspondence Second Threshold determine the Rail Surface situation of emphasis maintenance kilometer, rail undaform abrasion situation, rail profile abrasion Situation, railway roadbed situation include：

According to the Rail Surface status data and the Rail Surface threshold value, determine that the emphasis keeps in repair the rail table of kilometer Planar condition；

Status data and rail undaform abrasion threshold value are worn away according to the rail undaform, the emphasis maintenance is determined The rail undaform abrasion situation of kilometer；

Status data and rail profile abrasion threshold value are worn away according to rail profile, determines that the emphasis keeps in repair the steel of kilometer Rail section wears away situation；And

According to railway roadbed status data and the railway roadbed threshold value, determine that the emphasis keeps in repair the railway roadbed situation of kilometer.

8. method according to claim 1, it is characterised in that the method also includes：Kilometer institute is keeped in repair according to the emphasis The reason for disease of presence, determines that the emphasis keeps in repair the maintenance program of kilometer.

9. method according to claim 8, it is characterised in that the method also includes：The sheet of kilometer is keeped in repair according to the emphasis The TQI values and T values of the last month of track irregularity performance figure (TQI) value and T values of the moon and emphasis maintenance kilometer, evaluates dimension Credit rating is repaiied, and determines that next month keeps in repair the maintenance program of kilometer to the emphasis according to the repair quality grade evaluated, wherein The TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values.

10. a kind of rail track Quality Monitoring Control System, it is characterised in that the system includes：

Track inspection car, for detecting track condition and generating track condition data；

Emphasis keeps in repair kilometer determining module, for determining that emphasis keeps in repair kilometer, the emphasis dimension according to the track condition data It is the kilometer section that there is disease in rail track to repair kilometer；And

Disease causes determining module, determines that the emphasis maintenance is public according to the track condition data and corresponding first threshold In existing disease the reason for.

11. systems according to claim 10, it is characterised in that the emphasis maintenance kilometer determining module includes：

First determining unit, for determine line quality grade be preferential kilometer or plan kilometer kilometer section be emphasis maintenance Kilometer；

Second determining unit, for determining that line quality fraction is that kilometer section that is qualified or overstepping the bounds keeps in repair kilometer for emphasis；With And

3rd determining unit, it is inclined for determining this month deviation levels with kilometer section more than target offset grade and last month Kilometer section of the difference of difference grade more than or equal to zero is that emphasis keeps in repair kilometer.

12. systems according to claim 11, it is characterised in that first determining unit is used for：According to the track Status data calculates track irregularity performance figure (TQI) value of kilometer section；T values are calculated according to the TQI values, wherein per public In the TQI values sum of 5 200 meters of unit sections that included be T values；And determine that line quality grade is according to the T values Preferential kilometer or plan kilometer, the track condition data include TQI components；

Second determining unit is used for：Determine the line quality fraction of this kilometer of section to close according to the track condition data Lattice overstep the bounds；

3rd determining unit is used for：Determined with kilometer area more than target offset grade according to the track condition data Section, compares this month deviation levels and deviation levels last month with more than target offset grade kilometer section, at described Month deviation levels and deviation levels last month more than or equal to zero in the case of determine that this has more than target offset grade Kilometer section is that emphasis keeps in repair kilometer.

13. systems according to claim 10, it is characterised in that the disease causes determining module is used for：In the rail Road status data includes TQI components, and the corresponding first threshold includes track irregularity performance figure (TQI) value and T In the case of the management value of value, the TQI values and T values of the emphasis maintenance kilometer are calculated according to the track condition data, by institute The TQI values and T values of calculating compares with the management value of the TQI values and T values, and according to comparative result the emphasis maintenance kilometer is determined The reason for existing disease, wherein the TQI values sum of per kilometer of 5 200 meters of unit sections for being included is T values.

14. systems according to claim 10 or 13, it is characterised in that the disease causes determining module is used for：Institute State track condition data including gauge, level, height, rail to, twist irregularity, car body Vertical Acceleration and oscillation crosswise add Speed, and the corresponding first threshold include gauge threshold value, level thresholds, high-low threshold value, rail to threshold value, twist irregularity threshold In the case of value, car body Vertical Acceleration threshold value and lateral vibration acceleration threshold value, by the track condition data with Corresponding first threshold is compared, the reason for disease according to existing for comparative result determines emphasis maintenance kilometer.

15. systems according to claim 14, it is characterised in that the system also includes：

Rail polling system, for detecting Rail Surface situation and generating Rail Surface status data；

Rail corrugation system, for detecting rail undaform abrasion situation and generating rail undaform abrasion status data；

Rail profile wears away system, for detecting rail profile abrasion situation and generating rail profile abrasion status data；

Roadbed railway roadbed detecting system, for detecting railway roadbed situation and generating railway roadbed status data；

Monitoring module, for respectively according to the Rail Surface status data, rail undaform abrasion status data, described Rail profile abrasion status data, the railway roadbed status data and corresponding Second Threshold determine the emphasis maintenance kilometer Rail Surface situation, rail undaform abrasion situation, rail profile abrasion situation, railway roadbed situation；And

The disease causes determining module is additionally operable to keep in repair Rail Surface situation, the rail undaform mill of kilometer according to the emphasis The reason for consumption situation, rail profile abrasion situation, railway roadbed situation determine the existing disease of the emphasis maintenance kilometer.

16. systems according to claim 15, it is characterised in that the corresponding Second Threshold includes Rail Surface threshold Value, rail undaform abrasion threshold value, rail profile wear away threshold value, railway roadbed threshold value, and the monitoring module is used for：According to described Rail Surface status data and the Rail Surface threshold value, determine that the emphasis keeps in repair the Rail Surface situation of kilometer；According to The rail undaform abrasion status data and rail undaform abrasion threshold value, determine that the emphasis keeps in repair the steel of kilometer Rail undaform wears away situation；Status data and rail profile abrasion threshold value are worn away according to rail profile, is determined described heavy The rail profile abrasion situation of point maintenance kilometer；And according to railway roadbed status data and the railway roadbed threshold value, determine described heavy The railway roadbed situation of point maintenance kilometer.

17. systems according to claim 10, it is characterised in that the disease causes determining module is additionally operable to：

The reason for disease according to existing for the emphasis keeps in repair kilometer, determines that the emphasis keeps in repair the maintenance program of kilometer.

18. systems according to claim 17, it is characterised in that the system also includes：

Comprehensive maintenance quality assessment module, for according to the track irregularity performance figure of this month of the emphasis maintenance kilometer (TQI) the TQI values and T values of the last month of value and T values and the emphasis maintenance kilometer, evaluates repair quality grade, wherein per kilometer Comprising the TQI values sum of 5 200 meters of unit sections be T values；

The disease causes determining module is additionally operable to determine that next month is public to the emphasis maintenance according to the repair quality grade evaluated In maintenance program.