CN118347753B - Fatigue test analysis system for railway train axle - Google Patents
Fatigue test analysis system for railway train axle Download PDFInfo
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- CN118347753B CN118347753B CN202410772275.0A CN202410772275A CN118347753B CN 118347753 B CN118347753 B CN 118347753B CN 202410772275 A CN202410772275 A CN 202410772275A CN 118347753 B CN118347753 B CN 118347753B
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- 238000009661 fatigue test Methods 0.000 title claims abstract description 53
- 238000012360 testing method Methods 0.000 claims abstract description 115
- 238000012423 maintenance Methods 0.000 claims abstract description 25
- 230000001105 regulatory effect Effects 0.000 claims abstract description 8
- 238000010276 construction Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 7
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 230000003750 conditioning effect Effects 0.000 claims description 2
- 238000011418 maintenance treatment Methods 0.000 claims description 2
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- 238000011282 treatment Methods 0.000 abstract description 4
- 238000005259 measurement Methods 0.000 abstract description 2
- 206010016256 fatigue Diseases 0.000 description 40
- 238000005452 bending Methods 0.000 description 5
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Abstract
The invention relates to the technical field of train axle testing, in particular to a fatigue test analysis system for a railway train axle. The fatigue testing device comprises a testing queue construction module, a fatigue testing module and a testing queue regulating module. The fatigue testing machine is used for judging the risk testing axles in the fatigue state in advance, so that the axle sorting parameters are determined based on the risk testing axles, the main risk axles, the middle risk axles and the secondary risk axles in the to-be-tested queue CS l are judged, the inner influence values and the outer influence values of the axles are calculated accordingly, the to-be-tested queue CS l is reconstructed by combining the inner influence values and the outer influence values with the main risk axles, the middle risk axles and the secondary risk axles, the quick measurement of the fatigue axles in the to-be-tested queue CS l is realized, the treatment efficiency of subsequent maintenance and the like of the fatigue axles is accelerated, and the axles are convenient to apply in trains quickly.
Description
Technical Field
The invention relates to the technical field of train axle testing, in particular to a fatigue test analysis system for a railway train axle.
Background
At present, after a train axle is used for a certain time, a large number of train axles need to be subjected to fatigue test to judge the fatigue degree of the train axle, and whether the train axle can be continuously used later is determined.
The currently adopted testing method for the train axles is to arrange the train axles one by one according to the use sequence so as to test the train axles one by one, but in the actual testing process, the number of the train axles is large, so that the fatigue degree of the used train axles cannot be rapidly judged to have great potential safety hazards, and the train axles cannot be timely processed when being subsequently treated in maintenance, correction or replacement and the like, thereby not only affecting the fatigue testing efficiency of the train axles, but also being incapable of being rapidly applied due to the fact that the train axles with fatigue states cannot be rapidly determined, and further affecting the subsequent practical application time of the train axles.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a fatigue test analysis system for a railway train axle, which can effectively solve the problems that the existing test mode in the prior art cannot quickly determine the train axle with the affected fatigue state, thereby influencing the test efficiency and the subsequent treatment and the service time of the train axle.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the invention provides a fatigue test analysis system for a railway train axle, which at least comprises the following components:
The test queue construction module is used for acquiring an axle needing to be tested, marking the axle as an axle to be tested, and constructing a to-be-tested queue CS l by the axle to be tested;
And a fatigue testing module for performing a fatigue test on the axle to be tested by the fatigue testing machine, wherein:
switching the axle to be tested into an immediate test axle, obtaining the immediate fatigue life of the immediate test axle through fatigue test, marking the immediate test axle as a risk test axle when the immediate fatigue life is smaller than a fatigue life threshold value, and further comprising:
a test queue conditioning module, comprising:
the sorting test regulation and control unit is used for constructing axle sorting parameters according to the service life SM t and the historical cycle times XM j of the risk test axles, determining axles to be tested corresponding to the axle sorting parameters in the to-be-tested queue CS l according to the axle sorting parameters, and sorting the axles to be tested in the to-be-tested queue CS l;
the influence risk calculation unit is configured to calculate a predicted influence value of an axle to be tested in the queue CS l to be tested, and reorder the axles to be tested in the queue CS l to be tested according to the predicted influence value and the axle sorting parameter, so as to retrieve the queue CS l to be tested, where:
the predicted impact value is comprehensively determined through an inner impact risk value and an outer impact risk value of the axle to be tested.
Further, the method for determining the risk test axle by performing the fatigue test comprises the following steps:
The fatigue life and the corresponding stress level of the axle are obtained through a fatigue testing machine, and the fatigue life corresponding to a plurality of groups of stress levels is obtained through multiple tests;
Comprehensively drawing an S-N curve through a plurality of groups of stress levels and fatigue life, determining the fatigue life of the axle under different stress levels according to the S-N curve, and marking the fatigue life as an instant fatigue life;
Comparing the instant fatigue life to a fatigue life threshold, wherein:
When the instant fatigue life is less than the fatigue life threshold, the instant test axle is marked as a risk test axle.
Further, the method for determining the axle to be tested corresponding to the axle sorting parameter in the queue CS l to be tested includes:
The axle to be tested, which is the same as the service life SM t, is marked as a medium risk axle;
The axle to be tested which is the same as the historical cycle times XM j is marked as an axle for risk in the engine;
the axle to be tested, which is the same as the service life SM t and the historical cycle number XM j, is marked as a main risk axle;
Marking the axles to be tested, which are outside the main risk axle and the middle risk axle, in the queue to be tested CS l as secondary risk axles based on the main risk axle and the middle risk axle;
the primary, secondary, and intermediate risk axles are ranked in order of primary, secondary, and intermediate risk axles to reconstruct the to-be-tested queue CS l for sequential extraction in the to-be-tested queue CS l for testing when the to-be-tested axle is determined by the to-be-tested queue CS l.
Further, the calculation formula of the internal influence risk value is as follows:
Wherein NF gx is an internal influence risk value, XM i is the historical cycle number of the axle, SXM i is the residual cycle number, the cycle number is obtained according to T-XM i, T is the rated cycle number of the axle, PD t is the service time of the axle, DV p is the average speed of train running, the specific speed between the distance and time of each train running is obtained in advance, the specific speeds of multiple running are averaged to obtain the average speed, m f、df、vf and h f are weight coefficients respectively, the sum of m f、df、vf and h f is 1, gf is set to 0.1, and γ is a constant.
Further, the calculation formula of the external influence risk value is as follows:
Where WF gx is the external influence risk value, QA u is the duration of the axle at extremely high temperatures, BA u is the duration of the axle at extremely low temperatures, QA u is the duration of the axle at humid environments, JQ r is the length of the curved track, PL y is the length of the ramp track, r f、tf、jsf and ps f are weight coefficients, respectively, and the sum of r f、tf、jsf and ps f is 1.
Further, the predicted impact value is denoted as F nw, according to formula F nw＝NFgx+WFgx, wherein:
And sequencing the main risk axle, the middle risk axle or the secondary risk axle according to the predicted influence value F nw from high to low by determining the predicted influence values F nw respectively corresponding to the main risk axle, the middle risk axle and the secondary risk axle so as to reconstruct a queue CS l to be tested.
Further, the risk test axle determines:
generating risk maintenance information, thereby inputting a risk test axle corresponding to the risk maintenance information to a response terminal in a maintenance work area to determine whether to generate a maintenance instruction to perform maintenance treatment on the risk test axle, wherein:
if the maintenance-impossible instruction is generated, executing the following steps:
s100, marking a risk test axle corresponding to the maintenance failure instruction as a damaged test axle;
S200, acquiring state characteristics corresponding to the damaged test axle, wherein the state characteristics are the main risk axle, the secondary risk axle and the predicted influence value;
S300, determining a class state axle and a corresponding predicted influence value of which class state axle is positioned in a main risk axle, a main risk axle and a sub risk axle, and marking the class state axle and the predicted influence value as primary damage risk characteristics based on the class state axle and the predicted influence value corresponding to the damage test axle;
S400, continuously judging the risk test axle by the response terminal, namely repeatedly executing the steps of S100-S300 when a maintenance-impossible instruction is generated, comparing a plurality of primary damage risk features, setting a risk marking threshold value, judging whether the plurality of primary damage risk features are consistent, and marking the primary damage risk features as risk damage features if the plurality of primary damage risk features are consistent and reach the risk marking threshold value;
S500, inputting risk damage characteristics into a test queue regulating module, and changing the formation sequences of a main risk axle, a middle risk axle and a secondary risk axle in a to-be-tested queue CS l by the test queue regulating module.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
the fatigue testing machine is used for judging the risk testing axles in the fatigue state in advance, so that the axle sorting parameters are determined based on the risk testing axles, the main risk axles, the middle risk axles and the secondary risk axles in the to-be-tested queue CS l are judged, the inner influence values and the outer influence values of the axles are calculated accordingly, the to-be-tested queue CS l is reconstructed by combining the inner influence values and the outer influence values with the main risk axles, the middle risk axles and the secondary risk axles, the quick measurement of the fatigue axles in the to-be-tested queue CS l is realized, the treatment efficiency of subsequent maintenance and the like of the fatigue axles is accelerated, and the axles are convenient to apply in trains quickly.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is an overall block diagram of the module of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1 (see fig. 1): a fatigue test analysis system for a railroad train axle, comprising at least:
The test queue construction module is used for acquiring the axles to be tested later and marking the axles to be tested as axles to be tested, so that a to-be-tested queue CS l is constructed through a large number of axles to be tested, and the axles to be tested are conveniently extracted from the to-be-tested queue CS l to be subjected to fatigue test later.
Further, the fatigue test device further comprises a fatigue test module connected with the output end of the test queue construction module and used for executing fatigue test on the axle to be tested through the fatigue test machine, wherein the fatigue test device comprises:
Axial fatigue testing machine: the test device is used for testing the fatigue performance of the axle under the axial load;
bending fatigue testing machine: for testing the fatigue performance of the axle under bending load;
torsional fatigue testing machine: for testing the fatigue performance of the axle under torsional loading;
Composite fatigue testing machine: the fatigue test device is used for simultaneously carrying out fatigue test on the axle in multiple load modes such as axial, bending and torsion;
Rotary bending fatigue testing machine: for testing the fatigue performance of the axle under rotational bending loads;
dynamic fatigue testing machine: the test device is used for testing the fatigue performance of the axle under dynamic load;
From this, carry out fatigue test through input to fatigue test machine with the axle that awaits measuring, and switch into the axle that awaits measuring to the instantaneous test, obtain the fatigue life and the corresponding stress level of instantaneous test axle through fatigue test, and obtain the fatigue life that multiunit stress level corresponds through many times carrying out the test, from this through multiunit stress level and fatigue life comprehensive drawing S-N curve, confirm the fatigue life of axletree under the different stress levels according to S-N curve, and mark this fatigue life as instantaneous fatigue life, in order to compare instantaneous fatigue life with fatigue life threshold value (fatigue life standard value under the same stress level), wherein:
when the instant fatigue life is less than the fatigue life threshold, then the instant test axle is marked as a risk test axle.
And a test queue regulation module connected with the output end of the fatigue test module, comprising:
The sorting test regulation and control unit is used for acquiring a tested risk test axle and simultaneously determining the service life SM t and the historical circulation times XM j of the risk test axle under the historical service time, in the scheme, the historical circulation times refer to the processes of continuously accelerating, decelerating, passing through a curve track, ascending and descending a slope track and the like of the axle, the processes can lead to the change of an axle load Z, the load Z of the axle is reduced from a maximum value Z max to a minimum value Z min and then is increased to a maximum value Z max each time, the axle is regarded as a complete load circulation ZT, namely the once circulation times M j are determined, so that the once circulation times M j under the historical service time are counted, the historical circulation times XM j of the risk test axle are determined, axle sorting parameters are constructed according to the service life SM t and the historical circulation times XM j, the axle to be tested corresponding to the axle sorting parameters are determined in a to-be-tested queue CS l according to the axle sorting parameters, and particularly, the axle sorting parameters are determined according to the service life SM t and the circulation times SM j of the axle sorting parameters respectively:
The axle to be tested, which is the same as the service life SM t, is marked as an axle for risk (the same risk condition exists as the risk test axle, and the risk is judged to exist);
the axle to be tested, which is the same as the historical cycle number XM j, is marked as an axle for risk (the same risk condition exists as the risk test axle, and the risk is judged to exist);
The axle to be tested, which is identical to both the service life SM t and the historical cycle number XM j, is marked as a main risk axle (the same two risk conditions exist as the risk test axle, and the risk is judged to exist);
Marking the axles to be tested other than the main risk axle and the main risk axle in the to-be-tested queue CS l as secondary risk axles (the same risk condition does not exist as the risk test axles) based on the main risk axle and the main risk axle;
According to the determined main risk axle, the middle risk axle and the secondary risk axle, the to-be-tested queue CS l is reconstructed according to the main, middle and secondary orders, so that when the to-be-tested axle is determined in the to-be-tested queue CS l in the follow-up process, the main risk axle in the to-be-tested queue CS l is extracted in advance, the follow-up test determination efficiency of the risk test axle is quickened, and the risk test axle is conveniently and rapidly positioned and maintained.
Further, on the basis of the above scheme, in order to more accurately determine the axle with abnormal risk, so as to accelerate the determination efficiency of the risk axle, and make the subsequent quick maintenance and treatment put into use, the test queue regulating module further includes:
The influence risk calculation unit is configured to calculate a predicted influence value of a main risk axle, an intermediate risk axle, and a secondary risk axle (the axle to be tested is equal to the main risk axle, the intermediate risk axle, and the secondary risk axle) in the queue CS l to be tested, where the predicted influence value is comprehensively determined by an inner influence risk value and an outer influence risk value, and a calculation formula of the inner influence risk value is as follows:
Wherein NF gx is an internal influence risk value, XM i is the historical cycle number of the axle, SXM i is the residual cycle number (i.e., fatigue life), obtained according to T-XM i, T is the rated cycle number of the axle, PD t is the service time of the axle, DV p is the average speed of train running, the specific speed between the distance and time of each running of the train is obtained in advance, the specific speeds under multiple running are averaged to obtain the average speed (the faster the running speed of the train, the greater the affected degree of the wear of the fatigue life and dynamic load of the axle is), m f、df、vf and h f are weight coefficients, respectively, the sum of m f、df、vf and h f is 1, gf is a proportional coefficient, and γ is set to 0.1;
the calculation formula of the external influence risk value is as follows:
Where WF gx is an external impact risk value, QA u is a duration of the axle at an extremely high temperature (a safe temperature threshold of the axle is determined, the safe temperature threshold is out and higher than the safe temperature threshold), BA u is a duration of the axle at an extremely low temperature (the safe temperature threshold is out and lower than the safe temperature threshold), QA u is a duration of the axle at a humidity environment (the safe humidity threshold of the axle is determined, the time from the use time of the axle to the time when the axle is currently collected and counted out of the safe humidity threshold), JQ r is a length of a curve track, PL y is a length of a ramp track (the lengths of the curve track and the ramp track are collected and counted according to a route through which the axle corresponds to the train), r f、tf、jsf and ps f are weight coefficients, and a sum of r f、tf、jsf and ps f is 1, respectively;
Therefore, according to F nw＝NFgx+WFgx,Fnw, the axles are ranked according to the predicted impact value F nw from high to low, and the predicted impact values F nw corresponding to the main risk axle, the middle risk axle and the secondary risk axle are determined at the same time, so that the main risk axle, the middle risk axle or the secondary risk axle is ranked according to the predicted impact value F nw from high to low, where it is required to be noted that, because the main risk axle, the middle risk axle and the secondary risk axle are determined, the determined predicted impact value F nw is determined solely for the main risk axle, the middle risk axle or the secondary risk axle, that is, in a large number of main risk axles, the middle risk axle or the secondary risk axle is ranked according to the predicted impact value F nw from high to low, and the middle risk axle or the secondary risk axle is the same as the main risk axle, so that the middle risk axle or the secondary risk axle is not replaced by the main axle, so as to regenerate the fatigue test queue CS l, so that the fatigue test module can extract the pre-existing fatigue risk axle in the fatigue test queue CS l in advance, and the fatigue test efficiency of the fatigue test module can be determined in time.
It is worth to say that in the scheme, the axle to be tested needs to pass through the tests under all the fatigue testing machines in the fatigue testing module successively, so that the fatigue states of the axle to be tested under different load conditions can be conveniently determined, and the axle to be tested can be rapidly and accurately judged.
After the risk test axle is judged, risk maintenance information is generated, the risk test axle corresponding to the risk maintenance information is input to a response terminal in a maintenance operation area, the response terminal judges whether to generate a maintenance instruction to maintain the risk test axle according to the actual state of the current risk test axle (the risk test axle can be judged by maintenance personnel or the actual damage degree of the risk test axle can be detected by detection equipment such as an industrial camera, etc.), therefore, the risk test axle is quickly determined in the scheme, if the maintenance instruction is generated, the corresponding maintenance operation area can be timely maintained, meanwhile, the subsequent maintenance operation area can be continuously maintained for the risk test axle due to the fact that the risk test axle is quickly determined, and when the risk test axle is determined, other parts in the maintenance operation area are maintained to cause the problem that the risk test axle cannot be timely maintained and treated, and the subsequent emergency use of the risk test axle is affected.
Further, when the maintenance failure instruction is generated in the above, it is explained that the current risk test axle cannot be maintained, and replacement is required, and thus the following steps are performed:
s100, marking a risk test axle corresponding to the maintenance failure instruction as a damaged test axle;
S200, acquiring state characteristics corresponding to the damaged test axle, wherein the state characteristics are the main risk axle, the secondary risk axle and the predicted influence value;
S300, determining the class state axle in which the damage test axle is located in the main risk axle, the middle risk axle and the secondary risk axle and the corresponding predicted influence value, and marking the class state axle and the predicted influence value corresponding to the damage test axle as primary damage risk characteristics based on the class state axle and the predicted influence value corresponding to the damage test axle;
S400, continuously judging the risk test axle by the response terminal, namely repeatedly executing the steps of S100-S300 when a maintenance-impossible instruction is generated, comparing a plurality of primary damage risk features, setting a risk marking threshold (3 or more damage test axles with the same corresponding primary damage risk features can be provided, the specific number of the risk marking threshold can be evaluated and set in advance and is not limited), judging whether the plurality of primary damage risk features are consistent, and marking the primary damage risk features as risk damage features if the plurality of primary damage risk features are consistent and reach the risk marking threshold;
S500, inputting risk damage characteristics into a test queue regulating module, and changing the formation sequences of a main risk axle, a middle risk axle and a secondary risk axle in a to-be-tested queue CS l by the test queue regulating module.
The forming sequence mode of the test queue control module for changing the to-be-tested queue CS l is as follows:
The risk damage is obtained and is characterized in that corresponding axles to be tested in a queue CS l to be tested are marked as main risk axles, so that the construction sequence of the main risk axles, the main risk axles and the secondary risk axles in the queue CS l to be tested is readjusted, and the determination efficiency of the risk test axles is improved.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; these modifications or substitutions do not depart from the essence of the corresponding technical solutions from the protection scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. The fatigue test analysis system for the railway train axles comprises a test queue construction module, a test queue analysis module and a test queue analysis module, wherein the test queue construction module is used for acquiring axles to be tested and marking the axles to be tested as axles to be tested, and constructing a to-be-tested queue CS l by the axles to be tested;
And a fatigue testing module for performing a fatigue test on the axle to be tested by the fatigue testing machine, wherein:
the method comprises the steps of switching a vehicle axle to be tested into an immediate test axle, obtaining the immediate fatigue life of the immediate test axle through fatigue test, and marking the immediate test axle as a risk test axle when the immediate fatigue life is smaller than a fatigue life threshold value, and is characterized by further comprising:
a test queue conditioning module, comprising:
the sorting test regulation and control unit is used for constructing axle sorting parameters according to the service life SM t and the historical cycle times XM j of the risk test axles, determining axles to be tested corresponding to the axle sorting parameters in the to-be-tested queue CS l according to the axle sorting parameters, and sorting the axles to be tested in the to-be-tested queue CS l;
the influence risk calculation unit is configured to calculate a predicted influence value of an axle to be tested in the queue CS l to be tested, and reorder the axles to be tested in the queue CS l to be tested according to the predicted influence value and the axle sorting parameter, so as to retrieve the queue CS l to be tested, where:
The predicted influence value is comprehensively determined through an inner influence risk value and an outer influence risk value of the axle to be tested;
the method for determining the axle to be tested corresponding to the axle sorting parameter in the queue CS l to be tested comprises the following steps:
The axle to be tested, which is the same as the service life SM t, is marked as a medium risk axle;
The axle to be tested which is the same as the historical cycle times XM j is marked as an axle for risk in the engine;
the axle to be tested, which is the same as the service life SM t and the historical cycle number XM j, is marked as a main risk axle;
Marking the axles to be tested, which are outside the main risk axle and the middle risk axle, in the queue to be tested CS l as secondary risk axles based on the main risk axle and the middle risk axle;
Ranking the main risk axle, the middle risk axle and the secondary risk axle in order of main, middle and secondary to reconstruct a to-be-tested queue CS l, so as to sequentially extract and execute a test in the to-be-tested queue CS l when the to-be-tested axle is determined through the to-be-tested queue CS l;
The calculation formula of the internal influence risk value is as follows:
Wherein NF gx is an internal influence risk value, XM i is the historical cycle number of an axle, SXM i is the residual cycle number, the cycle number is obtained according to T-XM i, T is the rated cycle number of the axle, PD t is the service time of the axle, DV p is the average speed of train running, the specific speed between the distance and time of each train running is obtained in advance, the specific speeds of multiple running are averaged to obtain the average speed, m f、df、vf and h f are weight coefficients respectively, the sum of m f、df、vf and h f is 1, gf is set to 0.1, and γ is a constant;
the calculation formula of the external influence risk value is as follows:
Where WF gx is the external influence risk value, QA u is the duration of the axle at extremely high temperatures, BA u is the duration of the axle at extremely low temperatures, QA u is the duration of the axle at humid environments, JQ r is the length of the curved track, PL y is the length of the ramp track, r f、tf、jsf and ps f are weight coefficients, respectively, and the sum of r f、tf、jsf and ps f is 1.
2. The system for analyzing fatigue test of railway train axles according to claim 1, wherein the method for performing fatigue test to determine risk test axles comprises:
The fatigue life and the corresponding stress level of the axle are obtained through a fatigue testing machine, and the fatigue life corresponding to a plurality of groups of stress levels is obtained through multiple tests;
Comprehensively drawing an S-N curve through a plurality of groups of stress levels and fatigue life, determining the fatigue life of the axle under different stress levels according to the S-N curve, and marking the fatigue life as an instant fatigue life;
Comparing the instant fatigue life to a fatigue life threshold, wherein:
When the instant fatigue life is less than the fatigue life threshold, the instant test axle is marked as a risk test axle.
3. The system of claim 1, wherein the predicted impact value is denoted as F nw and is according to formula F nw＝NFgx+WFgx, wherein:
And sequencing the main risk axle, the middle risk axle or the secondary risk axle according to the predicted influence value F nw from high to low by determining the predicted influence values F nw respectively corresponding to the main risk axle, the middle risk axle and the secondary risk axle so as to reconstruct a queue CS l to be tested.
4. The fatigue test analysis system for a railroad train axle of claim 1, wherein the risk test axle is configured to:
generating risk maintenance information, thereby inputting a risk test axle corresponding to the risk maintenance information to a response terminal in a maintenance work area to determine whether to generate a maintenance instruction to perform maintenance treatment on the risk test axle, wherein:
if the maintenance-impossible instruction is generated, executing the following steps:
s100, marking a risk test axle corresponding to the maintenance failure instruction as a damaged test axle;
S200, acquiring state characteristics corresponding to the damaged test axle, wherein the state characteristics are the main risk axle, the secondary risk axle and the predicted influence value;
S300, determining a class state axle and a corresponding predicted influence value of which class state axle is positioned in a main risk axle, a main risk axle and a sub risk axle, and marking the class state axle and the predicted influence value as primary damage risk characteristics based on the class state axle and the predicted influence value corresponding to the damage test axle;
S400, continuously judging the risk test axle by the response terminal, namely repeatedly executing the steps of S100-S300 when a maintenance-impossible instruction is generated, comparing a plurality of primary damage risk features, setting a risk marking threshold value, judging whether the plurality of primary damage risk features are consistent, and marking the primary damage risk features as risk damage features if the plurality of primary damage risk features are consistent and reach the risk marking threshold value;
S500, inputting risk damage characteristics into a test queue regulating module, and changing the formation sequences of a main risk axle, a middle risk axle and a secondary risk axle in a to-be-tested queue CS l by the test queue regulating module.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108982270A (en) * | 2018-07-16 | 2018-12-11 | 西南交通大学 | The fatigue limit of axle containing foreign object damage determines method, apparatus and realization device |
| CN110501148A (en) * | 2019-07-25 | 2019-11-26 | 中车青岛四方机车车辆股份有限公司 | The fatigue rig and fatigue test method of gauge-changeable bogie axle |
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| JPH09243518A (en) * | 1996-03-11 | 1997-09-19 | Toshiba Corp | Fatigue monitoring apparatus for axle of vehicle |
| CN111521421B (en) * | 2020-04-30 | 2022-06-21 | 佳讯飞鸿（北京）智能科技研究院有限公司 | Freight train axle state monitoring and early warning system and method |
| KR102419258B1 (en) * | 2022-02-15 | 2022-07-11 | (주)중흥테크놀러지 | Axle detection system and detection method using the same |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108982270A (en) * | 2018-07-16 | 2018-12-11 | 西南交通大学 | The fatigue limit of axle containing foreign object damage determines method, apparatus and realization device |
| CN110501148A (en) * | 2019-07-25 | 2019-11-26 | 中车青岛四方机车车辆股份有限公司 | The fatigue rig and fatigue test method of gauge-changeable bogie axle |
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