CN109017830A - A kind of monitoring method of rail vehicle, device and equipment - Google Patents
A kind of monitoring method of rail vehicle, device and equipment Download PDFInfo
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- CN109017830A CN109017830A CN201810908352.5A CN201810908352A CN109017830A CN 109017830 A CN109017830 A CN 109017830A CN 201810908352 A CN201810908352 A CN 201810908352A CN 109017830 A CN109017830 A CN 109017830A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 100
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- 238000012806 monitoring device Methods 0.000 claims abstract description 13
- 230000001133 acceleration Effects 0.000 claims description 41
- 238000001514 detection method Methods 0.000 claims description 10
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61C—LOCOMOTIVES; MOTOR RAILCARS
- B61C17/00—Arrangement or disposition of parts; Details or accessories not otherwise provided for; Use of control gear and control systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
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- Train Traffic Observation, Control, And Security (AREA)
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Abstract
The invention discloses a kind of monitoring methods of rail vehicle, comprising: receives the first monitoring data of vehicle, and according to the first monitoring data, determines the comfort level assessment data of vehicle；The instability monitoring data of vehicle are received, and assess data according to instability monitoring data and stationarity, determine the instability status data of vehicle；The association of the vehicle comfort level and instability status and vehicle stability and instability status is judged according to the first default Correlation Criteria and the second default Correlation Criteria respectively, and exports judging result.The comfort level of vehicle and stationarity are comprehensively considered with unstability respectively in the present invention, targetedly the reason of generation security risk for causing vehicle, is analyzed, largely reduce the workload of car inspection and repair, manpower and material resources spent by car inspection and repair have been saved, the working efficiency of rail vehicle maintenance is improved.The present invention also provides a kind of monitoring device of rail vehicle and equipment, have above-mentioned beneficial effect.
Description
Technical field
The present invention relates to rail vehicle safety monitoring technology field, more particularly to a kind of rail vehicle monitoring method,
Device and equipment.
Background technique
With the extensive utilization of the track trains such as high-speed rail, subway, people propose the comfort level of vehicle ride higher
It is required that and the comfort level for track train during train driving is also that reaction vehicle safety operates normally
One of important indicator.
Therefore, essential to the comfort level detection of vehicle in rail vehicle day-to-day operation monitoring process, once vehicle
Comfort level rank it is lower, it is necessary to the reason of various aspects are made to the relevant running environment such as vehicle, automobile running orbit row
It looks into.
Currently, conventional is to the detection mode of rail vehicle, once monitoring discovery vehicle comfort level is low, just to vehicle
External running environment and vehicle faults itself reason all checked or repaired, the mode working efficiency of this detection
It is low and time-consuming and laborious.
Summary of the invention
The object of the present invention is to provide a kind of monitoring method of rail vehicle, device and equipment, solve vehicle safety prison
The ineffective problem of malfunction elimination heavy workload of survey.
In order to solve the above technical problems, the present invention provides a kind of monitoring method of rail vehicle, comprising:
The first monitoring data of vehicle are received, and according to first monitoring data, determine that the comfort level of the vehicle is commented
Estimate data and stationarity assessment data；Wherein, first monitoring data include at least the vertical, lateral of the car body of the vehicle
With three direction vibration accelerations of direction of traffic；
The second monitoring data of vehicle are received, and according to second monitoring data, determine the instability status of the vehicle
Data；Wherein, the unstability data include at least the lateral vibration acceleration of the vehicle；
Judge whether the comfort level assessment data of the vehicle and the instability status data meet the first default pass
Bracing part, if so, exporting the vehicle comfort level and the associated result of instability status；
Judge whether the stationarity assessment data of the vehicle and the instability status data meet the second default pass
Bracing part, if so, exporting the vehicle stability and the associated result of instability status.
Wherein, whether the comfort level assessment data for judging the vehicle and the instability status data meet the
One default Correlation Criteria includes:
If the comfort level assessment data of the vehicle are unqualified, and the instability status data are unstability, then defeated
The unqualified reason of the vehicle comfort level and the associated result of vehicle unstability out；
It is pre- whether the stationarity assessment data for judging the vehicle and the instability status data meet second
If Correlation Criteria includes:
If the stationarity assessment data of the vehicle are unstable, and the instability status data are unstability, then defeated
The unstable reason of the vehicle and the associated result of vehicle unstability out.
Wherein, whether the comfort level assessment data for judging the vehicle and the instability status data meet the
One default Correlation Criteria includes:
If the comfort level assessment data of the vehicle are unqualified, and the instability status data are not unstability, then
Export the unqualified reason of the vehicle comfort level and the associated result of vehicle faults itself；
It is pre- whether the stationarity assessment data for judging the vehicle and the instability status data meet second
If Correlation Criteria includes:
If the stationarity assessment data of the vehicle are unstable, and the instability status data are not unstability, then
Export the unstable reason of the vehicle and the associated result of vehicle faults itself.
Wherein, whether the comfort level assessment data for judging the vehicle and the instability status data meet the
One default Correlation Criteria includes:
If the comfort level assessment data of each vehicle of same train are unqualified, and each vehicle
The instability status data be unstability, then the reason of exporting the unqualified Comfortability of Train and unstability, is related to rail fault
The result of connection；
It is pre- whether the stationarity assessment data for judging the vehicle and the instability status data meet second
If Correlation Criteria includes
If the stationarity assessment data of each vehicle of same train are unstable, and each vehicle
The instability status data be unstability, then the reason of exporting the unstable train and unstability and the associated knot of rail fault
Fruit.
Wherein, whether the comfort level assessment data for judging the vehicle and the instability status data meet the
One default Correlation Criteria includes:
If in same train there are the comfort level of particular vehicle assessment data be it is unqualified, and with the particular vehicle away from
Comfort level from each vehicle within the scope of pre-determined distance is the instability status of qualified and each vehicle
Data are not unstability, then export the unqualified reason of the particular vehicle comfort level and the particular vehicle faults itself is associated
Result；
It is pre- whether the stationarity assessment data for judging the vehicle and the instability status data meet second
If Correlation Criteria includes:
If in same train there are the stationarity of particular vehicle assessment data be it is unqualified, and with the particular vehicle away from
Stationarity assessment data from each vehicle within the scope of pre-determined distance are the mistake of unstable and each vehicle
Steady status data is not unstability, then exports the unstable reason of the particular vehicle and the particular vehicle faults itself is associated
Result.
Wherein, after the instability status data for obtaining the vehicle, further includes:
Obtain the lateral displacement and/or vertical deviation of the wheel of vehicle；
If whether the lateral displacement and/or vertical deviation of the vehicle are greater than preset displacement value, and the vehicle is described
Instability status data are unstability, if it is, the result of output vehicle derailing alarm.
Wherein, according to the unstability data, after the unstability information for obtaining the vehicle, further includes:
Receive the EEF bogie monitoring data of the vehicle；
According to the EEF bogie monitoring data, judge that the wheel of the vehicle loses circle with the presence or absence of tyre tread, if it is, sentencing
Whether the instability status data of the vehicle of breaking are unstability, if it is, export the vehicle tyre tread lose circle reason and
The associated result of vehicle unstability.
The present invention also provides a kind of rail vehicle monitoring devices, comprising:
Data reception module, for receiving the first monitoring data of vehicle, and the instability monitoring data of reception vehicle；Its
In, first monitoring data include at least three directions vibration of the vertical of car body, transverse direction and direction of traffic of the vehicle
Acceleration, second monitoring data include at least the lateral vibration acceleration of the vehicle；
Data processing module, for determining the comfort level assessment data of the vehicle according to first monitoring data；Root
According to second monitoring data, the instability status data of the vehicle are determined；
Judgment module, for judging that the comfort level of the vehicle assesses data and whether the instability status data are full
The first default Correlation Criteria of foot, judges whether the stationarity assessment data of the vehicle and the instability status data meet
Second default Correlation Criteria；
Message output module, if the comfort level for the vehicle assesses data and the instability status data meet
First default Correlation Criteria then exports the vehicle comfort level and the associated result of instability status；If the vehicle is described
Stationarity assessment data are and whether the instability status data meet the second default Correlation Criteria, then it is steady to export the vehicle
Property and the associated result of instability status.
Wherein, the information display module is specifically used for, if the vehicle the comfort level assessment data be it is unqualified,
And the instability status data are unstability, then export the unqualified reason of the vehicle comfort level and the vehicle unstability is associated
As a result；If the stationarity assessment data of the vehicle are unstable, and the instability status data are unstability, then export institute
State the unstable reason of vehicle and the associated result of vehicle unstability.
The present invention also provides a kind of monitoring devices of rail vehicle, add including host, the first vibration being arranged on vehicle
Velocity sensor and the second vibration acceleration sensor being arranged on the bogie of the vehicle；
Wherein, the host respectively with first vibrating sensor and the second vibration acceleration sensor phase
Connect, adds for receiving the first monitoring data of the first vibration acceleration sensor detection and receiving second vibration
Second monitoring data of velocity sensor detection；According to first monitoring data, the comfort level assessment number of the vehicle is determined
Data are assessed according to stationarity, wherein first monitoring data include at least the vertical of car body, transverse direction and the row of the vehicle
Three direction vibration accelerations in vehicle direction；According to first monitoring data, the status data of the vehicle is obtained, wherein
Second monitoring data include at least the lateral vibration acceleration of the vehicle；Judge the comfort level assessment of the vehicle
Whether data and the instability status data meet the first default Correlation Criteria, if so, exporting the vehicle comfort level and mistake
The associated result of steady state；Whether the stationarity assessment data and the instability status data for judging the vehicle meet
Second default Correlation Criteria, if so, exporting the vehicle stability and the associated result of instability status.
The monitoring method of rail vehicle provided by the present invention, by simultaneously detection include at least vehicle it is vertical, laterally with
And the vibration acceleration of direction of traffic, and then comfort level assessment data and stationarity assessment data are obtained, and also at least monitor
The lateral vibration acceleration of the corresponding bogie of vehicle, and then obtain the instability status data of vehicle.It does not relax because vehicle is in
Suitable, unstable or unstability shows that vehicle has definitely security risk, and between vehicle comfort level, stationarity and unstability
There are certain relevances.Thus in the present invention based on this, comfort level is assessed into data and stationarity assessment data difference
It is associated comprehensive analysis with instability status data, the safety of vehicle is detected, obtains comfort level, stationarity and unstability
Between incidence relation, provide foundation for the service work of staff, and be conducive to staff and quickly confirm vehicle
The reason of there are security risks, without the factor of the various aspects of vehicle is all monitored exclusion one by one, largely
On reduce the workload of car inspection and repair, and improve the service work efficiency of staff.
The present invention also provides a kind of monitoring device of rail vehicle and equipment, have above-mentioned beneficial effect.
Detailed description of the invention
It, below will be to embodiment or existing for the clearer technical solution for illustrating the embodiment of the present invention or the prior art
Attached drawing needed in technical description is briefly described, it should be apparent that, the accompanying drawings in the following description is only this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the monitoring method flow chart of rail vehicle provided by the embodiment of the present invention；
Fig. 2 is the structural block diagram of rail vehicle monitoring device provided in an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiments are only a part of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
As shown in FIG. 1, FIG. 1 is the monitoring method flow chart of rail vehicle provided by the embodiment of the present invention, the monitoring sides
Method may include:
Step S1: receiving the first monitoring data of vehicle, and according to first monitoring data, determines relaxing for the vehicle
Appropriateness assessment data and stationarity assess data.
Track train is as the train for being applied to a variety of important vehicles such as high-speed rail, subway, light rail, comfort level peace
Stability is necessarily required to meet some requirements.
Specifically, for vehicle comfort level, three-coordinate sensor usually is installed in the position that can feel Vehicular vibration,
Such as it is mounted on car body lower position, it acquires vertical (that is to say vertical direction) of the car body of vehicle, laterally (that is to say level side
To) and direction of traffic (direction that is to say vehicle driving) three directions vibration acceleration signal.Certainly, it can also also measure
The vibration acceleration in other directions or other can characterize the data of comfort level, in this present embodiment without limitation.Car body
Vertical, transverse direction and three directions of direction of traffic are vertical two-by-two, can be according to Europe by the vibration acceleration data in these three directions
The Related Computational Methods for marking UIC513, obtain comfort level index, and according to comfort level index, and comfort level can be divided etc.
Grade, and comfort level is evaluated, physical relationship is as shown in table 1 below.
Table 1:
| Comfort level | Comfort level index N | Evaluation |
| 1 grade | N<1 | As snug as a bug in a rug |
| 2 grades | 1≤N<2 | Comfortably |
| 3 grades | 2<N≤4 | It can be said to be comfortable |
| 4 grades | 4<N≤5 | It is uncomfortable |
| 5 grades | N>5 | It is very uncomfortable |
According to table 1, after the vibration acceleration by three directions, which calculates, obtains comfort level, if comfort level
Greater than 4, it may be considered that the comfort level of the vehicle is unqualified, if calculating the comfort level obtained less than 4, it may be considered that
The comfort level of the vehicle is qualified.
Therefore, the comfort level in the present embodiment assesses data, as indicates the data of vehicle comfort level acceptance or rejection.
It should be noted that the comfort level of vehicle be it is associated with stationarity, comfort level is the user relative to vehicle seat
For, and stationarity be relative to vehicle itself, and it is whether qualified for comfort level and whether stationarity closes
Lattice are can be obtained according to same group of data (i.e. vehicle vertical, vibration acceleration of three directions of transverse direction and direction of traffic).
When carrying out safety traffic monitoring to vehicle, the two is often while monitoring.Specifically, can be passed through according to comfort level index N
The Related Computational Methods of UIC513 can be obtained riding index, and can also be by the flat of vehicle according to the riding index
Stability divided rank, as shown in table 2 below.
Table 2:
| Stationarity grade | Riding index W | Evaluation |
| 1 grade | Less than 2.5 | It is excellent |
| 2 grades | 2.5~2.75 | Well |
| 3 grades | 2.75~3.0 | It is qualified |
It follows that can both be counted after obtaining the vibration acceleration in three directions of vehicle by the sensor on vehicle
The comfort level for calculating vehicle can also calculate the stationarity of vehicle, when carrying out safety monitoring to vehicle, can both be relaxed with vehicle
It can also be monitoring index, or both collectively as monitoring index using stationarity that appropriateness, which is monitoring index,.
Step S2: receiving the second monitoring data of vehicle, and according to the second monitoring data, determines the instability status number of vehicle
According to.
Because vehicle wheel tread is there are taper, rail vehicle has the tendency that occurring snakelike.The snakelike of large magnitude becomes laterally
Unstability, lateral direction of car amplitude aggravates at this time, leads to the reduction of vehicle traveling comfort, forms biggish wheel shaft cross force, is easy
The problems such as causing train to derail.
Therefore, the Cross deformation of vehicle is monitored, and guarantees vehicle safety and vehicle is carried out in routine monitoring project
It is a kind of.Cross deformation sensor is installed usually on bogie or axle box, lateral vibration acceleration signal is acquired, passes through cross
The lateral amplitude of vibration of wheel is calculated to vibration acceleration, once lateral amplitude of vibration is excessive, vehicle is in instability status.
Certainly for the excessive problem of other direction amplitudes is also likely to be present for vehicle, under this state, vehicle is also belonged to
Unstability.Such as when vehicle is when the amplitude of vertical direction is excessive, the stationarity of vehicle is equally impacted.Therefore, in monitoring car
Instability status when, vertical or other directions the vibration acceleration of bogie or axle box can also be detected, and obtain corresponding
Ground amplitude obtains more accurate instability status data by comprehensively considering the amplitude of vehicle all directions.
Other directions or other can be acquired in the present embodiment simultaneously can characterize vehicle with the presence or absence of unstability possibility
Data, such as Vertical Acceleration is not specifically limited in the present embodiment.According to lateral vibration acceleration and/or vertical
Vibration acceleration obtains the conclusion with the presence or absence of unstability, that is, the knot analyzed by the Related Computational Methods of Europe superscript UIC518
Two kinds of fruit: there are unstability and unstability is not present.
Step S3: judge whether comfort level assessment data and the instability status data of vehicle meet first and default be associated with
Condition, if so, entering step S4.
Step S4: the vehicle comfort level and the associated result of instability status are exported.
Optionally, step S3, S4 specifically may is that
If the comfort level assessment data of vehicle are unqualified, and instability status data are unstability, then export vehicle comfort level
Unqualified reason and the associated result of vehicle unstability.
If the comfort level assessment data of vehicle are unqualified, and instability status data are not unstability, then it is comfortable to export vehicle
Spend unqualified reason and the associated result of vehicle trouble.
If the comfort level of vehicle is unqualified and not unstability, it is assured that and causes the underproof factor of comfort level to be
Vehicle faults itself, such as the rigidity of pivoted arm positioning node, the performance of anti-hunting damper holder, one be that the design of spring unreasonable causes
's.It only needs to overhaul vehicle itself.
Step S5: judge whether the stationarity assessment data of the vehicle and the instability status data meet second
Default Correlation Criteria, if so, entering step S6.
Step S6: the vehicle stability and the associated result of instability status are exported.
Optionally, step S5, S6 specifically may is that
If the stationarity assessment data of vehicle are unstable, and instability status data are unstability, then it is unstable to export vehicle
Reason and the associated result of vehicle unstability；
If the stationarity assessment data of vehicle are unqualified, and instability status data are not unstability, then export vehicle injustice
Steady reason and the associated result of vehicle trouble.
It should be noted that unstability and comfort level and stationarity be there are relevance, vehicle unstability be will lead to it is easypro
The unqualified and vehicle of appropriateness is unstable, and vehicle comfort level is unqualified or unstable then there may be a variety of causes.
When being routinely monitored at present to rail vehicle, the comfort level and stationarity of general monitoring vehicle, or only supervise
The instability status for surveying rail vehicle, as the reference index whether vehicle drives safely, once there is peace as the result is shown in monitoring
Full hidden danger then overhauls the environment of vehicle, track and vehicle itself one by one, needs to expend very big manpower and material resources.
And in the present invention, based on comfort level and stationarity respectively with the correlation of instability status, and vehicle comfort level is not
Qualified or vehicle is unstable, in most cases, be as vehicle unstability and caused by.Two kinds of data are monitored simultaneously simultaneously
Comprehensive analysis, when vehicle comfort level is unqualified or vehicle is unstable, and when vehicle is in unstability, it is believed that vehicle comfort level
Low or stationarity is low be because unstability and caused by, targetedly the factor for generating unstability can be checked, without
Vehicle faults itself is monitored.
, whereas if the comfort level of vehicle is unqualified and not unstability, then comfort level can be caused unqualified with determination
Factor be vehicle faults itself, the design if the rigidity of pivoted arm positioning node, the performance of anti-hunting damper holder, one are spring does not conform to
Caused by reason etc..It only needs to overhaul vehicle itself.
Similarly, vehicle is unstable and incidence relation of the vehicle not between unstability is similar, and details are not described herein.
In conclusion showing that vehicle exists centainly in view of vehicle is in uncomfortable, unstable or unstability in the present invention
Ground security risk, and there are certain relevances between vehicle comfort level, stationarity and unstability.Thus with this in the present invention
Based on, comfort level, which is assessed data and stationarity assessment data, is associated comprehensive analysis with instability status data respectively, to vehicle
Safety detected, obtain the incidence relation between comfort level, stationarity and unstability, be the check man of staff
Offer foundation is provided, and is conducive to the reason of staff quickly confirms vehicle there are security risks, without by vehicle
The factor of various aspects is all monitored exclusion one by one, largely reduces the workload of car inspection and repair, and improves work
Make the service work efficiency of personnel.
It, in another embodiment of the present invention, can also be by the data of same train based on above-mentioned any embodiment
Comprehensive analysis is carried out, therefore above-mentioned steps S3, S4 can specifically include:
If the comfort level assessment data of each vehicle of same train are unqualified, and the instability status number of each vehicle
According to for unstability, then the reason of output train comfort level is unqualified and unstability and the associated result of rail fault.
Above-mentioned steps S5, S6 can specifically include:
If the stationarity assessment data of each vehicle of same train are unstable, and each vehicle
The instability status data be unstability, then the reason of exporting the unstable train and unstability and the associated knot of rail fault
Fruit.
It should be noted that be between each vehicle of the same train in the present embodiment by link up with it is interconnected,
There are certain independence for mutual operating status, therefore the analysis of the aggregation of data of the operating status of permutation vehicle is more had
Conducive to determining the reason of causing vehicle safety hidden danger.
If the comfort level of same rail vehicle is unqualified, and all in the state of unstability, then larger possibility is
Due to caused by rail fault.Similarly, the jiggly principle of vehicle is similar, is not described further in detail.
Optionally, in another embodiment of the present invention, above-mentioned steps S3, S4 can specifically include:
If it is unqualified for assessing data there are the comfort level of particular vehicle in same train, and is existed with particular vehicle distance
The comfort level of each vehicle within the scope of pre-determined distance is that the instability status data of qualified and each vehicle are not lose
Surely, then the unqualified reason of particular vehicle comfort level and the associated result of particular vehicle faults itself are exported.
Above-mentioned steps S5, S6 can specifically include:
If the stationarity assessment data of each vehicle of same train are unstable, and each vehicle
The instability status data be unstability, then the reason of exporting the unstable train and unstability and the associated knot of rail fault
Fruit.
It should be noted that for same train, with its similar in external environment where several vehicles should be
It is very approximate, if the factors such as track or wind-force that train is run cause the comfort level of a certain vehicle unqualified,
Vehicle similar in the vehicle is inevitable, and there is also the underproof problems of similar comfort level；, whereas if only a certain particular vehicle
Comfort level it is unqualified, and other vehicles comfort levels are qualified, it may be considered that there are failures for the particular vehicle itself, and then reduce
The scope of repair of the vehicle.
Based on above-mentioned any embodiment, in another embodiment of the present invention, can further include:
Receive the lateral displacement and/or vertical deviation of the wheel of vehicle；
If whether the lateral displacement and/or vertical deviation of the vehicle are greater than preset displacement value, and the vehicle is described
Instability status data are unstability, if it is, the result of output vehicle derailing alarm.
It should be noted that then illustrating wheel when any one in the lateral displacement of wheel or vertical deviation is excessive
A possibility that offset rail is excessive, and if vehicle also unstability just at this time, and vehicle derails is bigger, because of this implementation
The data for monitoring vehicle derailing and unstability aggregation of data are analyzed in example, more accurately derailing signal can be obtained, improve track
The safety of train.
Optionally, in another specific embodiment of the present invention, can also further include:
Receive the EEF bogie monitoring data of vehicle；
According to EEF bogie monitoring data, judge that the wheel of vehicle loses circle with the presence or absence of tyre tread, if it is, judging vehicle
Whether instability status data are unstability, if it is, output vehicle tyre tread loses the reason and the associated result of vehicle unstability of circle.
It should be noted that EEF bogie monitoring data include at least the vertical acceleration and impact signal of vehicle axle box.
Tyre tread loses circle and refers to that wheel tread type face changes, including wheel surface relative level or laterally theoretical shape
Deviation and out-of-roundness deviation relative to circumferencial direction.The material of wheel and brake shoe do not match that, train emergency brake and department
The limited equal factors of machine driving ability can all cause wheel tread to lose circle.
And unstability is also one kind of vehicle abnormal operational conditions, therefore, when wheel tread loses round and vehicle unstability also
It in the presence of what is centainly contacted, can consider whether first as caused by vehicle unstability, if so, in the original directly to vehicle unstability
Because being checked.
Rail vehicle monitoring device provided in an embodiment of the present invention is introduced below, rail vehicle prison described below
Reference can be corresponded to each other with above-described rail vehicle monitoring method by surveying device.
Fig. 2 is the structural block diagram of rail vehicle monitoring device provided in an embodiment of the present invention, is monitored referring to Fig. 2 rail vehicle
Device may include:
Data reception module 100, for receiving the first monitoring data of vehicle, and the second monitoring data of reception vehicle；
Wherein, first monitoring data include at least the three of the vertical of car body of the vehicle, transverse direction and direction of traffic
A direction vibration acceleration, second monitoring data include at least the lateral vibration acceleration of the vehicle
Data processing module 200, for determining the comfort level assessment data of the vehicle according to first monitoring data
The instability status data of the vehicle are determined according to the instability monitoring data with stationarity assessment data；
Judgment module 300, for judging that the comfort level of the vehicle assesses data and the instability status data are
The first default Correlation Criteria of no satisfaction, judge the vehicle the stationarity assessment data and the instability status data whether
Meet the second default Correlation Criteria；
Message output module 400, if the comfort level for the vehicle assesses data and the instability status data
Meet the first default Correlation Criteria, then exports the vehicle comfort level and the associated result of instability status；If the vehicle
The stationarity assessment data are and whether the instability status data meet the second default Correlation Criteria, then export the vehicle
Stationarity and the associated result of instability status.
Monitoring device provided in the present invention, based on comfort level and stationarity respectively with the correlation of instability status,
And vehicle comfort level is unqualified or vehicle is unstable, in most cases, be as vehicle unstability and caused by.By two kinds
Data monitor simultaneously and comprehensive analysis, can be with when vehicle comfort level is unqualified or vehicle is unstable, and when vehicle is in unstability
Think that vehicle comfort level is low or stationarity is low and be because unstability and caused by, can targetedly to generate the factor of unstability into
Row investigation, without being monitored to vehicle faults itself.
Optionally, in another embodiment of the present invention, the information display module 300 is specifically used for,
If the comfort level assessment data of the vehicle are unqualified, and the instability status data are unstability, then defeated
The unqualified reason of the vehicle comfort level and the associated result of vehicle unstability out；
If the comfort level assessment data of the vehicle are unqualified, and the instability status data are not unstability, then
Export the unqualified reason of the vehicle comfort level and the associated result of vehicle faults itself；
If the comfort level of vehicle is unqualified and not unstability, it is assured that and causes the underproof factor of comfort level to be
Vehicle faults itself, such as the rigidity of pivoted arm positioning node, the performance of anti-hunting damper holder, one be that the design of spring unreasonable causes
's.It only needs to overhaul vehicle itself.
If the stationarity assessment data of the vehicle are unstable, and the instability status data are unstability, then defeated
The unstable reason of the vehicle and the associated result of vehicle unstability out；
If the stationarity assessment data of the vehicle are unstable, and the instability status data are not unstability, then
Export the unstable reason of the vehicle and the associated result of vehicle faults itself.
Optionally, the information display module 300 is specifically also used to, if the described of each vehicle of same train is relaxed
Appropriateness assessment data are unqualified, and the instability status data of each vehicle are unstability, then export the train
The reason of comfort level is unqualified and unstability and the associated result of rail fault；If each vehicle of same train is described
Stationarity assessment data are unstable, and the instability status data of each vehicle are unstability, then export the column
The reason of vehicle is unstable and unstability and the associated result of rail fault.
It should be noted that be between each vehicle of the same train in the present embodiment by link up with it is interconnected,
There are certain independence for mutual operating status, therefore the analysis of the aggregation of data of the operating status of permutation vehicle is more had
Conducive to determining the reason of causing vehicle safety hidden danger.
If the comfort level of same rail vehicle is unqualified, and all in the state of unstability, then larger possibility is
Due to caused by rail fault.If only having some vehicle comfort level unqualified in same train, and vehicle adjacent thereto
Comfort level is qualified and does not occur unstable phenomenon, then with regard to there is a strong possibility, property breaks down the vehicle itself, and then reduces the column
The scope of repair of vehicle.
It should be noted that in above embodiments with incidence relation whether vehicle comfort level and whether vehicle unstability into
Row explanation, but the incidence relation between the stationarity of vehicle and vehicle unstability is also similar, to not another in this each embodiment
One repeats.
The rail vehicle monitoring device of the present embodiment is for realizing rail vehicle monitoring method above-mentioned, therefore rail vehicle
The embodiment part of the visible rail vehicle monitoring method hereinbefore of specific embodiment in monitoring device, for example, at data
Module 100 is managed, for realizing step S1 in above-mentioned rail vehicle monitoring method；Data processing module 200, for realizing above-mentioned rail
Step S2 in road vehicle monitoring method；Judgment module 300, for realizing step S3, S5 in above-mentioned rail vehicle monitoring method；Letter
Output module 400 is ceased, for realizing step S4, S6 in above-mentioned rail vehicle monitoring method, so, specific embodiment can be with
Referring to the description of corresponding various pieces embodiment, details are not described herein.
A kind of equipment of rail vehicle monitoring is additionally provided in the present invention, which may include:
Host, the first vibration acceleration sensor being arranged on vehicle and it is arranged on the bogie of the vehicle
The second vibration acceleration sensor；
Wherein, the host respectively with first vibrating sensor and the second vibration acceleration sensor phase
Connect, adds for receiving the first monitoring data of the first vibration acceleration sensor detection and receiving second vibration
Second monitoring data of velocity sensor detection；
According to the first monitoring data, the comfort level assessment data and stationarity assessment data of vehicle are determined, wherein described the
One monitoring data include at least three direction vibration accelerations of the vertical of car body of the vehicle, transverse direction and direction of traffic；
According to first monitoring data, the status data of the vehicle is obtained, wherein second monitoring data are at least
Lateral vibration acceleration including the vehicle；
Judge whether the comfort level assessment data of the vehicle and the instability status data meet the first default pass
Bracing part, if so, exporting the vehicle comfort level and the associated result of instability status；
Judge whether the stationarity assessment data of the vehicle and the instability status data meet the second default pass
Bracing part, if so, exporting the vehicle stability and the associated result of instability status.
It should be noted that the Comfort Sensor and unstability sensor in the present embodiment can also use other, other are set
It is standby to replace.As long as can finally measure related data.
Host in the present invention carries out comprehensive analysis to the comfort level data and unstability data of each vehicle of rail vehicle, obtains
The incidence relation between comfort level, stationarity and unstability is obtained, provides foundation for the service work of staff, largely
On reduce the workload of car inspection and repair, and improve the service work efficiency of staff.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is other
The difference of embodiment, same or similar part may refer to each other between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part
Explanation.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
Claims (10)
1. a kind of monitoring method of rail vehicle characterized by comprising
The first monitoring data of vehicle are received, and according to first monitoring data, determine the comfort level assessment number of the vehicle
Data are assessed according to stationarity；Wherein, first monitoring data include at least the vertical of car body, transverse direction and the row of the vehicle
Three direction vibration accelerations in vehicle direction；
The second monitoring data of vehicle are received, and according to second monitoring data, determine the instability status data of the vehicle；
Wherein, the unstability data include at least the lateral vibration acceleration of the vehicle；
Judge whether the comfort level assessment data of the vehicle and the instability status data meet first and default be associated with item
Part, if so, exporting the vehicle comfort level and the associated result of instability status；
Judge whether the stationarity assessment data of the vehicle and the instability status data meet second and default be associated with item
Part, if so, exporting the vehicle stability and the associated result of instability status.
2. monitoring method according to claim 1, which is characterized in that the comfort level assessment of the judgement vehicle
Whether data and the instability status data meet the first default Correlation Criteria
If the comfort level assessment data of the vehicle are unqualified, and the instability status data are unstability, then export institute
State the unqualified reason of vehicle comfort level and the associated result of vehicle unstability；
Whether the stationarity assessment data for judging the vehicle and the instability status data meet the second default pass
Bracing part includes:
If the stationarity assessment data of the vehicle are unstable, and the instability status data are unstability, then export institute
State the unstable reason of vehicle and the associated result of vehicle unstability.
3. monitoring method according to claim 2, which is characterized in that the comfort level assessment of the judgement vehicle
Whether data and the instability status data meet the first default Correlation Criteria
If the comfort level assessment data of the vehicle are unqualified, and the instability status data are not unstability, then export
The unqualified reason of vehicle comfort level and the associated result of vehicle faults itself；
Whether the stationarity assessment data for judging the vehicle and the instability status data meet the second default pass
Bracing part includes:
If the stationarity assessment data of the vehicle are unstable, and the instability status data are not unstability, then export
The unstable reason of vehicle and the associated result of vehicle faults itself.
4. monitoring method according to claim 1, which is characterized in that the comfort level assessment of the judgement vehicle
Whether data and the instability status data meet the first default Correlation Criteria
If the comfort level assessment data of each vehicle of same train are unqualified, and the institute of each vehicle
The reason of stating instability status data is unstability, then exports the unqualified Comfortability of Train and unstability and rail fault are associated
As a result；
Whether the stationarity assessment data for judging the vehicle and the instability status data meet the second default pass
Bracing part includes:
If the stationarity assessment data of each vehicle of same train are unstable, and the institute of each vehicle
The reason of stating instability status data is unstability, then exports the unstable train and unstability and the associated result of rail fault.
5. monitoring method according to claim 4, which is characterized in that the comfort level assessment of the judgement vehicle
Whether data and the instability status data meet the first default Correlation Criteria
If it is unqualified for assessing data there are the comfort level of particular vehicle in same train, and is existed with the particular vehicle distance
The comfort level assessment data of each vehicle within the scope of pre-determined distance are the instability status of qualified and each vehicle
Data are not unstability, then export the unqualified reason of the particular vehicle comfort level and the particular vehicle faults itself is associated
Result；
Whether the stationarity assessment data for judging the vehicle and the instability status data meet the second default pass
Bracing part includes:
If it is unqualified for assessing data there are the stationarity of particular vehicle in same train, and is existed with the particular vehicle distance
The stationarity assessment data of each vehicle within the scope of pre-determined distance are the unstability shape of unstable and each vehicle
State data are not unstability, then export the unstable reason of the particular vehicle and the associated knot of particular vehicle faults itself
Fruit.
6. monitoring method according to any one of claims 1 to 5, which is characterized in that in the mistake for obtaining the vehicle
After steady status data, further includes:
Obtain the lateral displacement and/or vertical deviation of the wheel of vehicle；
If whether the lateral displacement and/or vertical deviation of the vehicle are greater than preset displacement value, and the unstability of the vehicle
Status data is unstability, if it is, the result of output vehicle derailing alarm.
7. monitoring method according to claim 6, which is characterized in that according to the unstability data, obtain the vehicle
Unstability information after, further includes:
Receive the EEF bogie monitoring data of the vehicle；
According to the EEF bogie monitoring data, judge that the wheel of the vehicle loses circle with the presence or absence of tyre tread, if it is, judging institute
Whether the instability status data for stating vehicle are unstability, if it is, exporting the vehicle tyre tread loses the reason of circle and described
The associated result of vehicle unstability.
8. a kind of rail vehicle monitoring device characterized by comprising
Data reception module, for receiving the first monitoring data of vehicle, and the second monitoring data of reception vehicle；Wherein, institute
Three directions vibration that the first monitoring data are stated including at least the vertical of car body of the vehicle, transverse direction and direction of traffic accelerates
Degree, second monitoring data include at least the lateral vibration acceleration of the vehicle；
Data processing module, for according to first monitoring data, determining the comfort level assessment data of the vehicle and steady
Property assessment data；According to the instability monitoring data, the instability status data of the vehicle are determined；
Judgment module, for judging that the comfort level of the vehicle assesses whether data and the instability status data meet the
One default Correlation Criteria, judges whether the stationarity assessment data of the vehicle and the instability status data meet second
Default Correlation Criteria；
Message output module, if the comfort level for the vehicle assesses data and the instability status data meet first
Default Correlation Criteria, then export the vehicle comfort level and the associated result of instability status；If the vehicle is described steady
Property assessment data be and the instability status data whether meet the second default Correlation Criteria, then export the vehicle stability and
The associated result of instability status.
9. monitoring device according to claim 8, which is characterized in that the information display module is specifically used for, if described
The comfort level assessment data of vehicle are unqualified, and the instability status data are unstability, then it is comfortable to export the vehicle
Spend unqualified reason and the associated result of vehicle unstability；If the stationarity assessment data of the vehicle are injustice
Surely, and the instability status data are unstability, then export the unstable reason of the vehicle and the associated knot of vehicle unstability
Fruit.
10. a kind of monitoring device of rail vehicle, which is characterized in that accelerate including host, the first vibration being arranged on vehicle
Degree sensor and the second vibration acceleration sensor being arranged on the bogie of the vehicle；
Wherein, the host is connected with first vibrating sensor and second vibration acceleration sensor respectively, uses
In the first monitoring data for receiving the first vibration acceleration sensor detection and receive second vibration acceleration
Second monitoring data of sensor detection；According to first monitoring data, determine the vehicle comfort level assessment data and
Stationarity assesses data, wherein first monitoring data include at least the vertical of car body, transverse direction and the driving side of the vehicle
To three direction vibration accelerations；According to first monitoring data, the status data of the vehicle is obtained, wherein described
Second monitoring data include at least the lateral vibration acceleration of the vehicle；Judge the comfort level assessment data of the vehicle
Whether meet the first default Correlation Criteria with the instability status data, if so, exporting the vehicle comfort level and unstability shape
The associated result of state；Whether the stationarity assessment data and the instability status data for judging the vehicle meet second
Default Correlation Criteria, if so, exporting the vehicle stability and the associated result of instability status.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109823370A (en) * | 2019-03-22 | 2019-05-31 | 唐智科技湖南发展有限公司 | A kind of method and system for judging train grade unstability |
| CN111976409A (en) * | 2019-05-23 | 2020-11-24 | 广州汽车集团股份有限公司 | Control method, system and computer readable medium for vehicle comfort and operation stability |
| CN112829795A (en) * | 2021-02-07 | 2021-05-25 | 中车长春轨道客车股份有限公司 | Bogie instability detection method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0324035B1 (en) * | 1987-07-28 | 1993-02-03 | Mitsubishi Jidosha Kogyo Kabushiki Kaisha | Control apparatus for a vehicular suspension system |
| CN102768121A (en) * | 2012-07-31 | 2012-11-07 | 北京交通大学 | Method for detecting fault of train suspension system on basis of robust observer |
| KR101294037B1 (en) * | 2007-09-03 | 2013-08-08 | 현대자동차주식회사 | Apparatus for controlling behavior of vehicle and control method thereof |
| CN103712806A (en) * | 2012-09-29 | 2014-04-09 | 南车青岛四方机车车辆股份有限公司 | Snakelike motion detection and analysis system of high-speed-train bogie and method thereof |
| CN108333450A (en) * | 2018-02-11 | 2018-07-27 | 常州路航轨道交通科技有限公司 | 350KM standards EMU unstability detection method and device |
-
2018
- 2018-08-10 CN CN201810908352.5A patent/CN109017830B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0324035B1 (en) * | 1987-07-28 | 1993-02-03 | Mitsubishi Jidosha Kogyo Kabushiki Kaisha | Control apparatus for a vehicular suspension system |
| KR101294037B1 (en) * | 2007-09-03 | 2013-08-08 | 현대자동차주식회사 | Apparatus for controlling behavior of vehicle and control method thereof |
| CN102768121A (en) * | 2012-07-31 | 2012-11-07 | 北京交通大学 | Method for detecting fault of train suspension system on basis of robust observer |
| CN103712806A (en) * | 2012-09-29 | 2014-04-09 | 南车青岛四方机车车辆股份有限公司 | Snakelike motion detection and analysis system of high-speed-train bogie and method thereof |
| CN108333450A (en) * | 2018-02-11 | 2018-07-27 | 常州路航轨道交通科技有限公司 | 350KM standards EMU unstability detection method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109823370A (en) * | 2019-03-22 | 2019-05-31 | 唐智科技湖南发展有限公司 | A kind of method and system for judging train grade unstability |
| CN111976409A (en) * | 2019-05-23 | 2020-11-24 | 广州汽车集团股份有限公司 | Control method, system and computer readable medium for vehicle comfort and operation stability |
| CN112829795A (en) * | 2021-02-07 | 2021-05-25 | 中车长春轨道客车股份有限公司 | Bogie instability detection method and system |
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|---|---|
| CN109017830B (en) | 2019-11-22 |
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