CN105109517A - Rail-flaw analyzing method and rail-flaw detecting car - Google Patents
Rail-flaw analyzing method and rail-flaw detecting car Download PDFInfo
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Abstract
The invention relates to the field of rail-flaw detection, particularly to a rail-flaw analyzing method and a rail-flaw detecting car. The rail-flaw analyzing method comprises the following steps: acquiring rail-flaw data; performing historical-flaw-data contrastive analysis on the acquired rail-flaw data so as to judge a rail-flaw developing trend; and performing at least four of the following analyses on the acquired rail-flaw data: circuit technique status analysis, rail tour-inspection analysis, rail corrugation analysis, rail fracture-surface wearing analysis, rail geometrical analysis, and roadbed and ballast bed analysis. According to the rail-flaw analyzing method disclosed by the invention, through comprehensive analysis for a rail flaw, the serious degree of the suspected flaw and a flaw developing speed can be judged, and a flaw grade is judged, so that setting a priority order during re-detection of a manual flaw detector is facilitated; reasons for generating flaws can be deeply analyzed, so that deep factors for generating the flaws can be eliminated in time, and the continuous generation of the flaws can be avoided.
Description
Technical field
The present invention relates to rail examination field, particularly, relate to a kind of analysis of Rail Failure method and rail flaw detection car.
Background technology
At present, railway interests uses rail flaw detection car to carry out periodicity steel rail ultrasonic flaw detecting in a large number, detailed process is: utilize inspection car to gather steel rail ultrasonic data, then data review andanalysis is carried out, during data analysis, detection data and hurt data bank can be compared by system automatically, meet the automatic frame choosing of hurt characteristic person system; Then artificial Type B figure to be differentiated, judge rail defects and failures type, position, size; Finally, inspection car detects the doubtful hurt analyzed and transfers to artificial fault finder to check, and finally carries out hurt confirmation or doubtful eliminating, and the hurt rail through confirming then more renews rail as reached lower line standard.
But, in actual sight, the rail defects and failures of same-type and size, its development speed of worsening and harmfulness relevant with many factors.The hurt development speed of worsening in the bad place of the section that heavy haul railway, vehicle density are large, line status, roadbed railway roadbed disease location is fast, and the hurt harmfulness in bridge, location, tunnel is large.
The Fashion and Evolution of rail defects and failures, except the reason of rail manufacture, use itself, closely bound up with the disease of railroad track, roadbed railway roadbed.One is that rail joint maintenance is bad, forms joint disease, and joint force-bearing situation worsens, and impact load stress increases thereupon, thus accelerates the fatigue of end of rail and the expansion of bolt hole circumferential crack; Two is that track geometry status is bad, and when train operation, at quiet, power irregularity place, stress is concentrated, and impacts aggravation, brings out rail defects and failures, fracture; Three is diseases of railway roadbed and roadbed, the development of aggravation rail defects and failures; Four is that rail level abrades, falls the initiation hurts such as block, fish scale wound, ripple mill.
But current steel rail flaw detection technology, just by fault finder efferent echo situation, carrys out the order of severity of qualitative rail defects and failures by single data, and not to causing the reason of rail defects and failures to carry out profound analysis.It is not mainly do not possess special detection technique and specialty is single to the reason causing the reason of rail defects and failures to carry out profound analysis, does not even possess a lot of professional test item, as roadbed railway roadbed detection etc.Therefore, existing analysis of Rail Failure means are single, can only tentatively judge the essential informations such as hurt type and size, cannot grade to the harmfulness of doubtful hurt, the deep layer origin cause of formation causing rail defects and failures cannot be analyzed, as unresolved in the deep layer origin cause of formation, still may hurt take place frequently after more renewing rail.
So, differentiate merely the type of doubtful hurt by rail flaw detection car, size can not meet the needs ensureing safety of railway traffic, need to carry out risk assessment to doubtful hurt, find out the related causes causing hurt simultaneously.
Summary of the invention
The object of this invention is to provide a kind of analysis of Rail Failure method, existing inspection car hurt data analysing method be single for solving, content simple and cannot comprehensively, the problem of comprehensive, accurate evaluation hurt.
To achieve these goals, the invention provides a kind of analysis of Rail Failure method, comprising: gather rail defects and failures data; The comparative analysis of hurt historical data is carried out, to judge rail defects and failures development tendency to the rail defects and failures data gathered; And following at least four analyses are carried out to the rail defects and failures data gathered: Line technology status analysis, rail polling analysis, rail corrugation analysis, rail profile wear analysis, track geometry analysis and roadbed railway roadbed are analyzed.
Technical scheme of the present invention additionally provides a kind of rail flaw detection car, comprising: collecting unit, for gathering rail defects and failures data; Hurt historical data comparative analysis unit, for carrying out the comparative analysis of hurt historical data, to judge rail defects and failures development tendency to the rail defects and failures data gathered; And analytic unit, for adopting at least four persons in following subelement to the rail defects and failures data analysis gathered: Line technology status analysis subelement, rail polling analyze subelement, rail corrugation analyzes subelement, rail profile wear analysis subelement, track geometry analyze subelement and roadbed railway roadbed analyzes subelement.
Pass through technique scheme, the invention has the beneficial effects as follows: the present invention is by comprehensively analyzing rail defects and failures, the order of severity of doubtful hurt, hurt speed of development can be judged, judge hurt rank, be conducive to artificial fault finder and set priority ranking when checking, and by technical scheme of the present invention, profoundly can analyze hurt Producing reason, the timely elimination disease deep layer origin cause of formation, avoids hurt to recur.
Other features and advantages of the present invention are described in detail in detailed description of the invention part subsequently.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification sheets, is used from explanation the present invention, but is not construed as limiting the invention with detailed description of the invention one below.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of analysis of Rail Failure method in embodiments of the present invention;
Fig. 2 is the illustrative view of functional configuration of rail flaw detection car in embodiments of the present invention;
Fig. 3 is the hurt position view of application examples one in embodiments of the present invention;
Fig. 4 is the hurt position view of application examples two in embodiments of the present invention;
Fig. 5 is the hurt position view of application examples three in embodiments of the present invention;
Fig. 6 is the hurt position view of application examples four in embodiments of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.Should be understood that, detailed description of the invention described herein, only for instruction and explanation of the present invention, is not limited to the present invention.
As shown in Figure 1, present embodiments provide for a kind of analysis of Rail Failure method, comprising: gather rail defects and failures data; The comparative analysis of hurt historical data is carried out, to judge rail defects and failures development tendency to the rail defects and failures data gathered; And following at least four analyses are carried out to the rail defects and failures data gathered: Line technology status analysis, rail polling analysis, rail corrugation analysis, track geometry analysis and roadbed railway roadbed are analyzed.
In addition, carry out at least four processes analyzed above-mentioned, rail profile wear analysis can also be carried out to the rail defects and failures data gathered.
In addition, the analysis of Rail Failure method of present embodiment also comprises: the analysis result obtaining rail defects and failures data, and judges according to this analysis result and show the development tendency of rail defects and failures, the order of severity and producing cause.
Introduce present embodiment below, based on seven aspects, the comprehensive specific implementation process analyzed is carried out to rail defects and failures.
(1) hurt historical data comparative analysis: by checking rail defects and failures historical data, contrasts the formation of all previous detection hurt, development.
(2) Line technology status analysis: analyze the line conditions residing for rail defects and failures; And analyze the characteristic of rail.
A, line conditions: rail defects and failures is positioned at straight line location or 3 in Curve Segment, radius of curve size, whether whether superelevation is arranged, tunnel, bridge, line slope size, sleeper type.
B, rail characteristic: Rail type, steel rail material, lay the time, unit rail bar type, fastening down temperature of rail, passes through gross weight.By the incidence relation of Line technology status analysis hurt and Line technology condition.
(3) whether rail polling analysis: utilize high-speed camera, checks the apparent order and condition of hurt place rail, have galled spots to transfinite, peel off, fall block, fish scale wound etc.
(4) rail corrugation analysis: carry out dynamic on-line checkingi analysis to top surface of rail undulatory wear, analyzes the ripple mill amplitude within the scope of rail defects and failures 200m and RMS value; And judge whether ripple mill transfinites.
(5) rail profile wear analysis: check hurt place rail profile abrasion situation, whether exceed wear limit.
(6) track geometry analysis: by utilize device measuring " gauge, rail to, twist of track, just, curvature, level " etc. index, analyze the line quality within the scope of rail defects and failures 200m; And judge that whether line quality is qualified.
(7) roadbed railway roadbed is analyzed: the analysis of roadbed railway roadbed have employed GPR and obtains roadbed railway roadbed data, is up-to-date a kind of analysis method for railway equipment.By GPR, judge that whether thickness of ballast bed is up to standard; And judge whether ballast contamination transfinites.
According to above-mentioned analysis of Rail Failure method, the form every analytical technology being integrated into functional unit can be considered, to improve existing rail flaw detection car.Therefore, as shown in Figure 2, present embodiment additionally provides a kind of rail flaw detection car, comprising: collecting unit, for gathering rail defects and failures data; Hurt historical data comparative analysis unit, for carrying out the comparative analysis of hurt historical data, to judge rail defects and failures development tendency to the rail defects and failures data gathered; And analytic unit, for adopting at least four persons in following subelement to the rail defects and failures data analysis gathered: Line technology status analysis subelement, rail polling analyze subelement, rail corrugation analyzes subelement, rail profile wear analysis subelement, track geometry analyze subelement and roadbed railway roadbed analyzes subelement.
In addition, also comprise: identifying unit, for obtaining the analysis result of described analytic unit, and judge according to this analysis result and show the development tendency of rail defects and failures, the order of severity and producing cause.
In present embodiment, the function that the collecting unit of described rail flaw detection car and identifying unit realize is the known technology of this area, and those skilled in the art can utilize the corresponding module of rail flaw detection car of the prior art or instrument to realize its function.
Mainly devise analytic unit in present embodiment, and analytic unit is integrated on the physical construction of rail flaw detection car, to realize the comprehensive analysis to rail defects and failures data.And for the physical construction of rail flaw detection car, adopt conventional design layout, here no longer more state.Meanwhile, the concrete function of each function subelement that analytic unit comprises and enforcement, identical with above-mentioned rail defects and failures integrated approach, be not repeated here.
In present embodiment, roadbed railway roadbed analyzes subelement, and for adopting GPR to judge, whether thickness of ballast bed is up to standard and judge whether ballast contamination transfinites, and all the other subelements also can adopt the common instrument of this area to realize corresponding function.
The analysis of Rail Failure method of present embodiment and rail flaw detection car are by the comprehensive analysis to rail defects and failures data, the order of severity of doubtful hurt, hurt speed of development can be judged, judge hurt rank, be conducive to the analysis result of artificial fault finder to described analytic unit to check, and set preferred order when being conducive to checking.In present embodiment, also can directly artificial fault finder be arranged on rail flaw detection car, check in time after comprehensive analysis.
The application of the analysis of Rail Failure method of present embodiment is further described below by four application examples.
Application examples one: line quality defective sector rail defects and failures comprehensively analyzes illustration
As shown in Figure 3, on June 18th, 2014, Shuohuang Railway company rail flaw detection car detects north yellow line, and descending K142+700 finds the doubtful rail head core wound of the left stock of rail.
(1) hurt describes
Inspection car detects the descending K142+700 of north yellow line and finds the doubtful rail head core wound of left stock, is detected by 70 ° of passages of popping one's head in inside the array rail of front and back; Hurt is positioned at inside rail head, and be inner hurt, size is 6 × 8mm, is judged to be secondary hurt.
(2) hurt historical data comparison
A upper sense cycle (on May 25th, 2014) hurt waveform is: inside front and back angle of deviation 70 ° and array rail, 70 ° of Air conduct measurement find doubtful hurt; Inside rear array rail, 70 ° of passages find doubtful hurt.Detected with last time and compare, known hurt has obvious development tendency.
(3) hurt is comprehensively analyzed
1. Line technology situation
This place's hurt is positioned at the descending K142+700 of north yellow line, and be in the bent location of circle, left stock is stock under curve, line slope 7.0 ‰, down ramp, II type sleeper; Common line, 60kg/m shaped steel rail, steel rail material is PG4, and the laying time is 2013, is No. 191 unit rail bars, and fastening down temperature of rail 29 ° is 378120443t by gross weight.
2. rail polling detects assistant analysis
Check this place's rail polling image, Rail Surface hurt in order, can be got rid of substantially in Rail face herein as we know from the figure.
3. rail corrugation detects assistant analysis
Before and after this doubtful hurt position, 200m ripple mill amplitude is 0.02mm, and rail head of rail is in apparent good order and condition.Therefore, can getting rid of is transfinited by rail corrugation causes rail defects and failures.
4. track geometry detects assistant analysis
Detect assistant analysis by track man geometry, obtain this place hurt 200m unit section inner orbit geometry detection waveform and hurt place unit section line quality situation, table 1 is hurt place unit section line quality situation.
Table 1 unit section TQI value
This hurt is positioned at K142+600 ~ K142+800 Single Component Management section, has peak value to transfinite, this unit TQI=12.22; This unit section TQI horizontal component surpasses management value 1.9, surpasses 24.2%; TQI twist of track component surpasses management value 2.0, surpasses 5%, and this section level is bad, causes the little twist of track of continuity; The larger major cause of this section TQI value is caused to be that level is bad.Therefore, this section line conditions local is bad, can determine that track geometry oversteps the bounds on rail defects and failures existence impact.
5. roadbed railway roadbed detects assistant analysis
This doubtful hurt place fundus ballast thickness is 293mm, and thickness is qualified; Railway roadbed is substantially clean; Roadbed is disease-free.Therefore, roadbed railway roadbed serious plant disease can be got rid of and cause rail defects and failures.
(4) conclusion
This place's hurt is positioned at cutting location, is secondary hurt according to hurt type, size and Line technology situation synthetic determination; The hurt origin cause of formation and track geometry overstep the bounds relevant.
(5) confirmation is checked
Artificial fault finder is checked on June 20th, 2014 the doubtful hurt in this place, and fault finder A shows waveform and is shown as 3.5 ~ 8.0.This place's rail is rolled off the production line dissection, confirms as rail head core wound.Hurt size is: 10 × 12mm.
Application examples two: rail state defective sector hurt comprehensively analyzes illustration
As shown in Figure 4, on September 16th, 2014, Shuohuang Railway company rail flaw detection car detects north yellow line, and up K74+834 finds that the doubtful weld seam of the left stock of rail fractures.
(1) hurt describes
Inspection car detects the up K74+834 of north yellow line and finds that the doubtful weld seam of left stock fractures, by inside the array of front and back 70 °, middle 70 ° and 70 °, outside and front and back deflection 70 ° of passages detect; Hurt position is inside rail head, doubtful weld seam hurt, and size is that rail head is through.
(2) hurt historical data comparison
A upper sense cycle (on September 6th, 2014) hurt waveform is: do not have the doubtful waveform of hurt; Right figure is that this detects hurt waveform: by 70 °, middle 70 ° and 70 °, outside and front and back deflection 70 ° of passage efferent echos inside the array of front and back.Detected with last time and compare, hurt has obvious development tendency, and forms serious hurt.
(3) hurt is comprehensively analyzed
1. Line technology situation
This place's hurt is positioned at the left stock of up K74+834, is in the bent location of circle, radius of curve R=500, stock on curve, line slope 11.1 ‰, down ramp, type III sleeper; Rail is 75kg/m, 78# unit rail bar, and fastening down temperature of rail is 28 DEG C, and the laying time is in September, 2014, by gross weight 9340000t.
2. rail polling detects assistant analysis
Check that image patrolled and examined by this place's rail, known brittle fractures of rail herein.
3. rail corrugation detects assistant analysis
Before and after this doubtful hurt position, 200m ripple mill amplitude is 0 ~ 0.02mm, and rail head of rail is in apparent good order and condition, and therefore can getting rid of is transfinited by rail corrugation causes rail defects and failures.
4. track geometry detects assistant analysis
Detect assistant analysis by track man geometry, obtain this place hurt 200m unit section inner orbit geometry detection waveform and hurt place unit section line quality situation, table 2 is hurt place unit section line quality situation.
Table 2TQI management value
This hurt is positioned at K74+800-K75+000 Single Component Management section, TQI=7.9, without transfiniting; This unit section line status is good, therefore can get rid of track geometry and seriously overstep the bounds and cause rail defects and failures.
5. roadbed railway roadbed detects assistant analysis
This doubtful hurt place fundus ballast thickness is 275mm, and thickness is qualified; Railway roadbed is substantially clean; Roadbed is disease-free.Therefore, roadbed railway roadbed serious plant disease can be got rid of and cause rail defects and failures.
(4) conclusion
This place's hurt is positioned at roadbed location, is three grades of hurts according to hurt type, size and Line technology situation synthetic determination; It is bad that the hurt origin cause of formation is mainly weld seam welding quality, can get rid of the impact of the factors such as rail wear, line quality, roadbed railway roadbed.
(5) confirmation is checked
Artificial fault finder is checked on September 20th, 2014 the doubtful hurt in this place, and fault finder A shows waveform and is shown as 2 ~ 8.5.This place's rail is rolled off the production line dissection, confirms as brittle fractures of rail.
Application examples three: roadbed railway roadbed disease location rail defects and failures comprehensively analyzes illustration
As shown in Figure 5, on April 28th, 2014, Shuohuang Railway company rail flaw detection car detects north yellow line, and descending K580+300 finds the doubtful rail head core wound of the left stock of rail.
(1) hurt describes
Inspection car detects the descending K580+300 of north yellow line and finds the doubtful rail head core wound of left stock, directly beats the 70 ° of passages in inner side detect by array; Hurt position is inside rail head, and doubtful rail head core wound, be inner hurt, size is 8 × 7mm.
(2) hurt historical data comparison
A upper sense cycle (on April 9th, 2014) hurt waveform is: directly beat the 70 ° of passages in inner side by array and detect.This detects, and directly beat the 70 ° of passages in inner side by array equally and detect, efferent echo is stablized.This detection detected with last time compares, and hurt has development tendency.
(3) hurt is comprehensively analyzed
1. Line technology situation
This place's hurt is positioned at descending K566+389, and be in stock location on transition curve, R=1200m, h=45mm, left stock, line slope 3.4 ‰, is in down ramp, II type sleeper; Common line, 60kg/m rail, material is U71Mn, by gross weight 822368294t.
2. rail polling detects assistant analysis
Check that image patrolled and examined by this place's rail, Rail Surface hurt in order, therefore can be got rid of in the known face of Rail herein.
3. rail corrugation detects assistant analysis
Before and after this doubtful hurt position, 200m ripple mill amplitude is 0 ~ 0.23mm, and there are slight abrasion on rail head of rail surface, and therefore can getting rid of is transfinited by rail corrugation causes rail defects and failures.
4. track geometry detects assistant analysis
Detect assistant analysis by track man geometry, obtain this place hurt 200m unit section inner orbit geometry detection waveform and hurt place unit section line quality situation, table 3 is hurt place unit section line quality situation.
Table 3TQI management value
This hurt is positioned at K580+200 ~ K580+400 Single Component Management section, and this unit TQI=15.39 has peak value to transfinite; The left rail of this unit section is to, right rail to bad, and height is bad, causes level big and small, causes twist of track; The larger major cause of this section TQI value is caused to be that rail is to bad.This section local line state is bad in sum.Therefore, track geometry can be got rid of seriously overstep the bounds and cause rail defects and failures.
5. roadbed railway roadbed detects assistant analysis
This kilometer of railway roadbed has 410m thickness of ballast bed not enough, and railway roadbed pollutes more serious; Local topography has unfairness location, 20m railway roadbed bottom surface; 140m is had to be possible moisture location.Therefore, can judge that roadbed railway roadbed disease impacts rail defects and failures.
(4) conclusion
This place's hurt is positioned at roadbed location, is secondary hurt according to hurt type, size and Line technology situation synthetic determination; The hurt origin cause of formation and roadbed ballast contamination, that thickness is not enough is relevant.
(5) confirmation is checked
Artificial fault finder is checked on May 1st, 2014 the doubtful hurt in this place, and fault finder A shows waveform and is shown as 6 ~ 8.5, belongs to rail head core wound, sentences severe injury.According to this place's Rail Surface condition diagram and the internal anatomy that rolls off the production line, can be confirmed that this checks result.
Application examples four: bridge, location, tunnel rail defects and failures comprehensively analyze illustration
As shown in Figure 6, on August 4th, 2014, Shuohuang Railway company rail flaw detection car detects north yellow line, and descending K162+871 finds the doubtful weld seam of the left stock of rail.
(1) hurt describes
Inspection car detects the doubtful weld seam hurt of the right stock of the descending K162+871 of north yellow line, is positioned at stock under slow curve; 70 °, interior rear flank is directly beaten and front and back deflection 70 ° detects jointly by rear array; Hurt position is inside rail head, is in rail head of rail position, doubtful weld seam hurt, and be inner hurt, size is 9 × 8mm.
(2) hurt historical data comparison
A upper sense cycle (on July 25th, 2014) hurt waveform is described as: detected by angle of deviation 70 ° of passages.This detects, and directly beat 70 °, inner side by array equally and detect with angle of deviation 70 ° of passages, efferent echo is stablized.This detection detected with last time compares, and hurt has development tendency.
(3) hurt is comprehensively analyzed
1. Line technology situation
This place's hurt is positioned at stock under descending curve, R=1500m, h=30mm, and line slope 11.5 ‰, is in up gradient, III type sleeper; 60kg/m rail, material is U71Mn, and the laying time is 2013, is 132468595t at present by gross weight.
2. rail polling detects assistant analysis
Check that image patrolled and examined by this place's rail, Rail face in order herein, can get rid of Rail Surface hurt.
3. rail corrugation detects assistant analysis
Before and after this doubtful hurt position, 200m ripple mill amplitude is 0.01 ~ 0.03mm, and there are slight abrasion on rail head of rail surface.Therefore, can getting rid of is transfinited by rail corrugation causes rail defects and failures.
4. track geometry detects assistant analysis
Detect assistant analysis by track man geometry, obtain this place hurt 200m unit section inner orbit geometry detection waveform and hurt place unit section line quality situation, table 1 is hurt place unit section line quality situation.
Table 4TQI management value
This hurt is positioned at K162+800 ~ K163+000 Single Component Management section, this section TQI=8.41, and this Single Component Management section line status is good.Therefore, track geometry can be got rid of seriously overstep the bounds and cause rail defects and failures.
5. roadbed railway roadbed detects assistant analysis
This doubtful hurt place fundus ballast thickness is 300mm, and thickness is qualified; Railway roadbed is substantially clean; Roadbed is disease-free.Therefore, roadbed railway roadbed serious plant disease can be got rid of and cause rail defects and failures.
(4) conclusion
This place's hurt is positioned at bridge location, and is between two tunnels, is three grades of hurts according to hurt type, size and Line technology situation synthetic determination; The impact of the factors such as rail wear, line quality, roadbed railway roadbed can be got rid of.
(5) confirmation is checked
Artificial fault finder is checked on August 7th, 2014 the doubtful hurt in this place, outside lower jaw ripple aobvious check and correction 3.0-4.0 lattice in air pressure weld seam central track head, rail head lower jaw crackle 10mm.
In sum, present embodiment, by comprehensively analyzing rail defects and failures, can judge the order of severity of doubtful hurt, hurt speed of development, judges hurt rank, is conducive to artificial fault finder and sets priority ranking when checking.Meanwhile, profoundly can analyze hurt Producing reason, eliminate the disease deep layer origin cause of formation in time, avoid hurt to recur.
Below the preferred embodiment of the present invention is described in detail by reference to the accompanying drawings; but; the present invention is not limited to the detail in above-mentioned embodiment; within the scope of technical conceive of the present invention; can carry out multiple simple variant to technical scheme of the present invention, these simple variant all belong to protection scope of the present invention.
It should be noted that in addition, each the concrete technical characteristic described in above-mentioned detailed description of the invention, in reconcilable situation, can be combined by any suitable mode.In order to avoid unnecessary repetition, the present invention illustrates no longer separately to various possible array mode.
In addition, also can carry out combination in any between various different embodiment of the present invention, as long as it is without prejudice to thought of the present invention, it should be considered as content disclosed in this invention equally.
Claims (10)
1. an analysis of Rail Failure method, is characterized in that, comprising:
Gather rail defects and failures data;
The comparative analysis of hurt historical data is carried out, to judge rail defects and failures development tendency to the rail defects and failures data gathered; And
Following at least four analyses are carried out to the rail defects and failures data gathered:
Line technology status analysis, rail polling analysis, rail corrugation analysis, rail profile wear analysis, track geometry analysis and roadbed railway roadbed are analyzed.
2. analysis of Rail Failure method according to claim 1, is characterized in that, also comprise:
Obtain the analysis result of rail defects and failures data, and judge according to this analysis result and show the development tendency of rail defects and failures, the order of severity and producing cause.
3. analysis of Rail Failure method according to claim 1 and 2, is characterized in that, described Line technology status analysis comprises:
Analyze the line conditions residing for rail defects and failures; And
Analyze the characteristic of rail.
4. analysis of Rail Failure method according to claim 1 and 2, is characterized in that, described rail corrugation analysis comprises:
Dynamic on-line checkingi is carried out to rail surface undulatory wear, analyzes the ripple mill amplitude within the scope of rail defects and failures 200m and RMS value; And
Judge whether ripple mill transfinites.
5. analysis of Rail Failure method according to claim 1 and 2, is characterized in that, described track geometry analysis comprises:
According to the measurement index of setting, analyze the line quality within the scope of rail defects and failures 200m; And
Judge that whether line quality is qualified.
6. analysis of Rail Failure method according to claim 1 and 2, is characterized in that, the analysis of described roadbed railway roadbed comprises:
GPR is adopted to obtain roadbed railway roadbed data;
According to the roadbed railway roadbed data obtained, judge that whether thickness of ballast bed is up to standard; And
Judge whether ballast contamination transfinites.
7. a rail flaw detection car, is characterized in that, comprising:
Collecting unit, for gathering rail defects and failures data;
Hurt historical data comparative analysis unit, for carrying out the comparative analysis of hurt historical data, to judge rail defects and failures development tendency to the rail defects and failures data gathered; And
Analytic unit, for adopting at least four persons in following subelement to the rail defects and failures data analysis gathered:
Line technology status analysis subelement, rail polling analyze subelement, rail corrugation analyzes subelement, rail profile wear analysis subelement, track geometry analyze subelement and roadbed railway roadbed analyzes subelement.
8. rail flaw detection car according to claim 7, is characterized in that, also comprises:
Identifying unit, for obtaining the analysis result of described analytic unit, and judges according to this analysis result and shows the development tendency of rail defects and failures, the order of severity and producing cause.
9. the rail flaw detection car according to claim 7 or 8, is characterized in that, roadbed railway roadbed is analyzed subelement and comprised GPR, and this GPR is for obtaining roadbed railway roadbed data.
10. the rail flaw detection car according to claim 7 or 8, is characterized in that, this rail flaw detection car also comprises:
Artificial fault finder, for checking the analysis result of described analytic unit.
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| CN111291498A (en) * | 2020-02-28 | 2020-06-16 | 朔黄铁路发展有限责任公司 | Steel rail section abrasion prediction system, method, computer device and storage medium |
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| CN112012060B (en) * | 2019-05-28 | 2022-06-28 | 浙江德盛铁路器材股份有限公司 | Railway track basic equipment quality condition prediction and judgment method |
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| CN110196866A (en) * | 2019-05-31 | 2019-09-03 | 梁帆 | A kind of flaw detection management system based on data mining |
| CN110175422A (en) * | 2019-05-31 | 2019-08-27 | 梁帆 | A kind of multicycle rail defects and failures trend forecasting method based on data mining |
| CN110363403A (en) * | 2019-06-27 | 2019-10-22 | 中国铁道科学研究院集团有限公司 | Railway track damage forecast method and device |
| CN111626439A (en) * | 2019-11-01 | 2020-09-04 | 东莞灵虎智能科技有限公司 | Steel rail overhaul decision support method based on artificial intelligence |
| CN111626439B (en) * | 2019-11-01 | 2023-12-29 | 东莞灵虎智能科技有限公司 | Rail overhaul decision support method based on artificial intelligence |
| CN111309736A (en) * | 2020-02-28 | 2020-06-19 | 朔黄铁路发展有限责任公司 | System, method, device and storage medium for managing rail section wear data |
| CN111291498A (en) * | 2020-02-28 | 2020-06-16 | 朔黄铁路发展有限责任公司 | Steel rail section abrasion prediction system, method, computer device and storage medium |
| CN113085948A (en) * | 2021-06-09 | 2021-07-09 | 成都国铁电气设备有限公司 | Track comprehensive detection system |
| CN116039713A (en) * | 2022-12-30 | 2023-05-02 | 合肥德泰科通测控技术有限公司 | Intelligent damage identification management system for steel rail |
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