CN108663224B - Pressure wave failure prediction method and device - Google Patents
Pressure wave failure prediction method and device Download PDFInfo
- Publication number
- CN108663224B CN108663224B CN201811034958.7A CN201811034958A CN108663224B CN 108663224 B CN108663224 B CN 108663224B CN 201811034958 A CN201811034958 A CN 201811034958A CN 108663224 B CN108663224 B CN 108663224B
- Authority
- CN
- China
- Prior art keywords
- pressure
- wave
- parameter
- pressure wave
- trend
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000005070 sampling Methods 0.000 claims description 28
- 230000008569 process Effects 0.000 claims description 18
- 241001269238 Data Species 0.000 claims description 15
- 230000001568 sexual effect Effects 0.000 claims description 15
- 230000000994 depressogenic effect Effects 0.000 claims description 9
- 239000000284 extract Substances 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 9
- 238000004378 air conditioning Methods 0.000 description 7
- 230000004888 barrier function Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000000630 rising effect Effects 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002085 persistent effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002040 relaxant effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/08—Railway vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61D—BODY DETAILS OR KINDS OF RAILWAY VEHICLES
- B61D27/00—Heating, cooling, ventilating, or air-conditioning
- B61D27/0009—Means for controlling or equalizing air pressure shocks in trains, e.g. when passing or crossing in tunnels
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L27/00—Testing or calibrating of apparatus for measuring fluid pressure
- G01L27/007—Malfunction diagnosis, i.e. diagnosing a sensor defect
Abstract
The present invention provides a kind of pressure wave failure prediction method and devices, are related to the technical field of pressure wave failure predication, this method comprises: collecting pressure wave operation data, the feature of pressure parts for wave is extracted according to pressure wave operation data；The operation trend of pressure wave is judged according to feature；If operation trend meets pre-set fault trend, the early warning information of the corresponding pressure parts for wave of operation trend is generated.Pressure wave failure prediction method and device provided by the invention, realization can provide early warning in time in the case where faulty trend, accomplish to safeguard in advance, pressure wave effect when train operates normally has been effectively ensured, it avoids and pressure wave failure occurs and influence the case where train operates normally the comfort with passenger, while also reducing failure rate.
Description
Technical field
The present invention relates to the technical field of pressure wave failure predication, more particularly, to a kind of pressure wave failure prediction method and
Device.
Background technique
Currently, bullet train is usually equipped with pressure wave protection system, to control train vehicle during high speed driving
The fluctuation of interior pressure reduces the influence of pressure wave, and then guarantees the comfort level of passenger.
In the prior art, pressure wave protection system mainly includes following several respects, (1) interior external differential to the judgement of failure
More than certain threshold value, pressure wave failure is reported, generally are as follows: adjacent 3 seconds pressure is more than 1200Pa.All be usually sensor fault,
Caused by air door, solenoid valve, useless row's cell failure.(2) fresh air air door control output, feeding back unsuccessful, controller report fresh air air door
Failure；(3) solenoid valve control exports, feeding back unsuccessful, controller report solenoid valve failure；(4) row's of giving up control output, feeding back unsuccessful,
Controller scraps troubleshooting barrier.
But above-mentioned breakdown judge is all to acquire associated components information by controller when having already appeared pressure wave failure
Afterwards, it is determined by logic judgment, and pressure wave failure occurs and will affect the comfort of train normal operation, passenger, it is special
It is other to the problematic passenger of heart, may have serious consequences.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of pressure wave failure prediction method and device, it is above-mentioned to alleviate
Technical problem.
In a first aspect, the embodiment of the invention provides a kind of pressure wave failure prediction method, this method comprises: collecting pressure
Wave operation data extracts the feature of pressure parts for wave according to pressure wave operation data；Wherein, pressure wave operation data includes non-depressed
Pressure difference data when pressure difference data and/or pressure wave when Reeb acts act；The operation trend of pressure wave is judged according to feature；
If operation trend meets pre-set fault trend, the early warning letter of the corresponding pressure parts for wave of operation trend is generated
Breath.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein on
Stating the step of collecting pressure wave operation data includes: to collect identical operating condition according to pre-set sampling period and sample frequency
Under pressure wave operation data.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect
Possible embodiment, wherein it is above-mentioned according to pressure wave operation data extract pressure parts for wave feature the step of include: basis
The pressure parameter of pressure wave operation data calculating pressure parts for wave；Set pressure parameter to the feature of pressure parts for wave；Wherein,
Pressure parameter includes at least: sporadic straggling parameter, whole straggling parameter and fluctuation straggling parameter.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein it is above-mentioned according to pressure wave operation data calculate pressure parts for wave pressure parameter the step of, at least
Including following calculating process: calculating in the sampling period, the maximum value and minimum value of the pressure difference data of pressure sensor acquisition will most
Big value and minimum value are set as the accidental sexual deviation of pressure parts for wave；It calculates in the sampling period, the average value of all pressure difference datas,
Set average value to the whole deviation of pressure parts for wave；Calculate the sampling period in, the adjacent difference of all pressure difference datas it is exhausted
To value parameter, it sets absolute value parameter to the fluctuation sexual deviation of pressure parts for wave.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the 4th kind of first aspect
Possible embodiment, wherein the step of above-mentioned operation trend that pressure wave is judged according to feature includes: to judge in pressure parameter
Whether the pressure parameter of preset parameter threshold is had more than；If so, determining that operation trend meets pre-set failure
Trend.
Second aspect, the embodiment of the present invention also provide a kind of pressure wave fault prediction device, which includes: extraction mould
Block extracts the feature of pressure parts for wave according to pressure wave operation data for collecting pressure wave operation data；Wherein, pressure wave
Pressure difference data when operation data includes the pressure difference data and/or pressure wave movement when non-depressed fluctuation is made；Judgment module is used for
The operation trend of pressure wave is judged according to feature；Warning module, if meeting pre-set fault trend for operation trend,
Generate the early warning information of the corresponding pressure parts for wave of operation trend.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein on
It states extraction module to be used for: according to pre-set sampling period and sample frequency, collecting the pressure wave operation number under identical operating condition
According to.
In conjunction with the first possible embodiment of second aspect, the embodiment of the invention provides second of second aspect
Possible embodiment, wherein said extracted module is used for: joined according to the pressure that pressure wave operation data calculates pressure parts for wave
Number；Set pressure parameter to the feature of pressure parts for wave；Wherein, pressure parameter includes at least: sporadic straggling parameter, entirety
Straggling parameter and fluctuation straggling parameter.
In conjunction with second of possible embodiment of second aspect, the embodiment of the invention provides the third of second aspect
Possible embodiment, wherein said extracted module includes at least following calculating process: it calculates in the sampling period, pressure sensing
Maximum value and minimum value are set the sporadic inclined of pressure parts for wave by the maximum value and minimum value of the pressure difference data of device acquisition
Difference；It calculates in the sampling period, the average value of all pressure difference datas sets average value to the whole deviation of pressure parts for wave；Meter
It calculates in the sampling period, absolute value parameter is set pressure parts for wave by the absolute value parameter of the adjacent difference of all pressure difference datas
Fluctuation sexual deviation.
In conjunction with second of possible embodiment of second aspect, the embodiment of the invention provides the 4th kind of second aspect
Possible embodiment, wherein above-mentioned judgment module is used for: judge preset parameter threshold whether is had more than in pressure parameter
The pressure parameter of value；If so, determining that operation trend meets pre-set fault trend.
The embodiment of the present invention bring it is following the utility model has the advantages that
Pressure wave failure prediction method and device provided in an embodiment of the present invention, can collect pressure wave operation data, and
The feature of pressure parts for wave is extracted according to pressure wave operation data, and then the operation trend of pressure wave is judged according to feature；And
When operation trend meets pre-set fault trend, the early warning information of the corresponding pressure parts for wave of operation trend is generated,
Realization provides early warning in the case where faulty trend in time, accomplishes to safeguard in advance, has been effectively ensured when train operates normally
Pressure wave effect avoids and pressure wave failure occurs and influence the case where train operates normally the comfort with passenger, while
Reduce failure rate.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those skilled in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of structural block diagram of air-conditioning system；
Fig. 2 is a kind of flow chart of pressure wave failure prediction method provided in an embodiment of the present invention；
Fig. 3 is a kind of flow diagram of pressure wave failure predication provided in an embodiment of the present invention；
Fig. 4 is the flow chart of another pressure wave failure prediction method provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of pressure curve provided in an embodiment of the present invention；
Fig. 6 is a kind of structural schematic diagram of pressure wave fault prediction device provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those skilled in the art institute without making creative work
The every other embodiment obtained, shall fall within the protection scope of the present invention.
Currently, generally being run by Air-condition system control pressure wave in rail traffic vehicles.Pressure wave energy associated components,
Generally it is made of air-conditioner controller, fresh air air door, pressure sensor, solenoid valve, useless row's unit or similar structures.As shown in Figure 1
A kind of air-conditioning system structural block diagram, the structural schematic diagram of the air-conditioning system in a section compartment is shown, from train
Direction of advance sets gradually pressure sensor, fresh air air door 1, solenoid valve, fresh air air door 2, Yi Jilie to the tail portion of compartment
Vehicle airconditioning control cabinet and useless row's unit, wherein fresh air air door 1 and fresh air air door 2 are connect with solenoid valve, by the control of solenoid valve
It realizes and opens and closes, air-conditioner controller is arranged in train air-conditioning control cabinet.Under normal circumstances, when carrying out pressure wave protection,
Close fresh air air door 1, fresh air air door 2, and the useless row pressure Reeb air door of useless row's unit.
When pressure wave failure occurs in train, the scheme of the prior art is by judging feedback, the pressure side such as exceeded
Formula carries out breakdown judge, has the following deficiencies:
(1) whether air-conditioner controller is damaged, these phases by acquisition associated components information by logic judgment associated components
Close component information be all train normal operation in, there is collected information after pressure wave failure, be equivalent to associated components or
The fault message that person's equipment reports after having damaged, can not the state that will damage of sensed in advance associated components or equipment, very
It is easy to influence the comfort of train normal operation and passenger, especially to the problematic passenger of heart, after may bringing seriously
Fruit.
(2) it when associated components or equipment check in library, can check whether pressure parts for wave damages, still, damage
The associated components or equipment of bad selvedge edge can not check confirmation if movement becomes the states such as slow.
Based on this, a kind of pressure wave failure prediction method and device provided in an embodiment of the present invention can be effectively relieved
State technical problem.
For convenient for understanding the present embodiment, first to a kind of pressure wave failure predication disclosed in the embodiment of the present invention
Method describes in detail.
Embodiment one:
A kind of pressure wave failure prediction method provided in an embodiment of the present invention, can be applied to the air-conditioner controller of train,
Effectively to avoid pressure wave associated components in air-conditioning system from damaging bring adverse effect, realize to pressure wave associated components into
Row failure predication, a kind of flow chart of pressure wave failure prediction method as shown in Figure 2, method includes the following steps:
Step S202 collects pressure wave operation data, and the feature of pressure parts for wave is extracted according to pressure wave operation data；
Wherein, pressure when pressure wave operation data includes the pressure difference data and/or pressure wave movement when non-depressed fluctuation is made
Difference data；
It, specifically, can be by general, the process of above-mentioned collection pressure wave operation data, is the process of a persistent collection
According to pre-set sampling period and sample frequency, the pressure wave operation data under identical operating condition is collected, in order to according to identical
Pressure wave operation data under operating condition extracts the feature of pressure parts for wave.
Wherein, pressure parts for wave described in the embodiment of the present invention is referred to as pressure wave associated components, including train sky
The components such as the pressure sensor for including in adjusting system and fresh air air door.
Step S204 judges the operation trend of pressure wave according to features described above；
In view of above-mentioned pressure wave operation data is that the data collected under identical operating condition therefore can be according to extraction
Feature judges the operation trend of the pressure wave under the operating condition.
Step S206 generates the corresponding pressure wave of operation trend if operation trend meets pre-set fault trend
The early warning information of component.
Specifically, the pressure curve with release can be acted by pressure wave by persistent collection pressure wave operation data
Situation of change, extracts features described above, and judges that pressure wave from normally to the trend of failure, and then is realized and exists according to these features
Early warning information is provided in time in the case of faulty trend, accomplishes to repair in advance, and pressure when train operates normally is effectively ensured
Reeb effect.
Pressure wave failure prediction method provided in an embodiment of the present invention, can collect pressure wave operation data, and according to pressure
Reeb operation data extracts the feature of pressure parts for wave, and then the operation trend of pressure wave is judged according to feature；And become in operation
When gesture meets pre-set fault trend, the early warning information of the corresponding pressure parts for wave of operation trend is generated, is realized
Early warning is provided in time in the case where faulty trend, accomplishes to safeguard in advance, and pressure wave when train operates normally has been effectively ensured
Effect avoids and pressure wave failure occurs and influence the case where train operates normally the comfort with passenger, also reduces simultaneously
Failure rate.
In general, above-mentioned pressure wave operation data is mostly the related datas such as the pressure parameter in train air conditioning system, therefore, on
The feature for stating the pressure parts for wave extracted according to pressure wave operation data, is also possible to feature related with pressure parameter, specifically
The step of ground, the above-mentioned feature that pressure parts for wave is extracted according to pressure wave operation data may include following procedure:
(1) pressure parameter of pressure parts for wave is calculated according to above-mentioned pressure wave operation data；For example, pressure sensor acquires
Pressure difference data etc.；
(2) above-mentioned pressure parameter is set to the feature of pressure parts for wave；
Wherein, the pressure parameter in the embodiment of the present invention includes at least: sporadic straggling parameter, whole straggling parameter and wave
Dynamic sexual deviation parameter.
Further, the step of above-mentioned pressure parameter that pressure parts for wave is calculated according to pressure wave operation data, includes at least
Following calculating process:
It calculates in the above-mentioned sampling period, the maximum value and minimum value of the pressure difference data of pressure sensor acquisition, by maximum value
The accidental sexual deviation of pressure parts for wave is set as with minimum value；
It calculates in the sampling period, the average value of all pressure difference datas sets the average value to the entirety of pressure parts for wave
Deviation；
It calculates in the sampling period, the absolute value parameter of the adjacent difference of all pressure difference datas sets absolute value parameter to
The fluctuation sexual deviation of pressure parts for wave, wherein the absolute value parameter can be the absolute value of adjacent difference, be also possible to all phases
The sum of the absolute value of adjacent difference is judged above-mentioned fluctuation sexual deviation by the sum of absolute value, keeps result more obvious.
Therefore, the calculating process based on above-mentioned pressure parameter and pressure parameter, it is above-mentioned that pressure wave is judged according to feature
The step of operation trend includes: the pressure parameter for judging whether to have more than preset parameter threshold in pressure parameter；If
It is to determine that operation trend meets pre-set fault trend at this time.
By above-mentioned prediction technique, in actual use, foreseeable fault trend has:
(1) pressure wave transducer sensitivity is gradually reduced (more and more inaccurate).
(2) movement of pressure wave fresh air air door 1, fresh air air door 2 become the movement of slow, air door gradually start to become less than
Position.
(3) air door of the useless row's unit of pressure wave becomes slow, air door movement gradually starts to become not in place.
(4) solenoid valve actuation time is progressively longer etc..
For the ease of understanding that Fig. 3 shows one kind to pressure wave failure prediction method provided in an embodiment of the present invention
The flow diagram of pressure wave failure predication, specifically, in the Fig. 3, air-conditioner controller is connect with pressure sensor, former empty
It adjusts in controller, increases the function of continuing to monitor the pressure value of pressure sensor acquisition, also, the air-conditioner controller passes through electricity
Magnet valve movement acts to monitor the movement of fresh air air door 1 and fresh air air door 2, and, air-conditioner controller is directly connect with useless exhaust door,
Useless exhaust door movement is monitored, the movement feedback of acquisition fresh air air door 1, fresh air air door 2 and useless exhaust door is completed.
After the movement feedback of acquisition fresh air air door 1, fresh air air door 2 and useless exhaust door, if there is no fault message report
Out, then the calculating of pressure wave failure predication is carried out, for example, pressure sensor is current according to above-mentioned pressure wave failure prediction method
The comparison of the variation of pressure wave and pressure wave variation before prompts failure predication trend if meeting failure predication logic, i.e., raw
At early warning information, as indicator light shows, be sent to vehicle network by communication mode, is sent to non-vehicle by communication mode
Network, by failure predication Trend storage to air-conditioner controller etc., be downloaded and look into daily maintenance for service personnel
It sees.
Specifically, by taking above-mentioned pressure wave component is pressure sensor as an example, above-mentioned pressure wave failure prediction method is carried out
It is discussed in detail.
Typically for the failure predication of pressure sensor, pressure difference data when can be made by acquiring non-depressed fluctuation is carried out
Pressure sensor failure prediction, specifically, fault predictive include: Sensitivity in Pressure Sensors decline, and pressure sensor is passed back
The error for being worth opposite true value is (one of the situation before pressure sensor complete failure) gradually bigger than normal, the mistake based on foregoing description
Journey, Fig. 4 show the flow chart of another pressure wave failure prediction method, and prediction process may comprise steps of:
Step S402 collects pressure wave operation data in N seconds, obtains N/M sampled value；
Specifically, it is assumed that the pre-set sampling period is M, that is, the train inside and outside differential pressure sampling period is M, typically, such as
500ms carries out N ms sampling, typically, such as 600000ms, it is assumed that pressure difference DP under identical operating condition.Therefore, acquisition in N seconds
Number can be expressed as N/M.
Step S404, calculates separately pressure parameter: Dpmax, Dpmin, DPavg and DPdn；
Specifically: Dpmax, Dpmin are sporadic straggling parameter；DPavg is whole straggling parameter；DPdn fluctuation is inclined
Poor parameter.
The process of three classes pressure parameter includes: in sampling acquirement N seconds
Sporadic straggling parameter: in N seconds, the maximum value DPmax and minimum value DPmin of the pressure difference data of pressure sensor；
Whole straggling parameter: calculating the average value of all pressure difference datas, sets the whole of pressure sensor for the average value
Body straggling parameter, is usually indicated with DPavg, and mathematic(al) representation can indicate are as follows:
DPavg=(DP0+DP1+ ...+DP N/M -1)/(N/M)；
Fluctuation straggling parameter: sexual deviation is fluctuated for the ease of confirmation, usually calculates the adjacent difference of all pressure difference datas
Absolute value sum, indicated with DPdn, mathematic(al) representation are as follows:
DPd0=| DP1-DP0 |, DPd1=| DP2-DP1 | ..., DPdn=DPd0+DPd1+ ....
When specific implementation, during pressure wave failure predication, if it is judged that at least one in above-mentioned pressure parameter
More than preset parameter threshold pressure parameter when, can determine that above-mentioned operation trend meets pre-set failure and becomes
Gesture.
Specifically execute step S406 ~ step S410；
Step S406 judges whether the number of Dpmax and DPmin is more than preset frequency threshold value；
Step S408, judges whether Dpavg is below or above pre-set average threshold；
Step S410, judges whether DPdn is higher than pre-set threshold pressure differential；
For example, the number for the maximum value DPmax of the pressure difference data of pressure sensor and minimum value DPmin occur is super in N seconds
When crossing preset frequency threshold value, it can determine that pressure sensor at this time has the tendency that damage；Or it is whole inclined in N seconds
When poor parameter is below or above pre-set average threshold, it can be determined that go out the whole of the pressure difference data of pressure sensor detection
Body is less than normal or bigger than normal, can carry out early warning；Alternatively, when the adjacent difference of two neighboring pressure difference data is larger, explanation
The noise of pressure sensor is larger etc. at this time.
If step S406 ~ step S410 deterministic process is all satisfied normal condition, i.e. step S412, then step is returned to
S402 thens follow the steps S414 if one of them is unsatisfactory for；
Step S414 generates the early warning information of the corresponding pressure parts for wave of operation trend.
It should be noted that prediction less than normal for this entirety or bigger than normal, since pressure parts for wave does not damage, because
This, by maintenance process in the prior art perhaps the accidental sexual deviation of the above-mentioned appearance of logic of failure predication, whole deviation or
When fluctuating deviation, failure will not be reported, and pressure wave failure prediction method provided in an embodiment of the present invention, it can be according to spy
Sign judges the operation trend of pressure wave；And when operation trend meets pre-set fault trend, it is corresponding to generate operation trend
Pressure parts for wave early warning information, realization provide early warning in time in the case where faulty trend, accomplish to safeguard in advance,
Be effectively ensured train operate normally when pressure wave effect, avoid there is pressure wave failure and influence train operate normally and
The case where comfort of passenger, while also reducing failure rate.
The prediction of above-mentioned three kinds of parameters is calculated, can also be carried out by way of drawing pressure curve, specifically, figure
5 show the schematic diagram of pressure curve, wherein it illustrate only two groups of situations in Fig. 5, every group of abscissa indicates the time,
Ordinate indicates characteristic parameter, such as whole straggling parameter.Specifically, features described above can be calculated with sectional, such as every 30
Point carries out the judgement of rising or downward trend.
Wherein, what a width figure above in Fig. 5 indicated is the trend of rising overally, and such as trend of rising overally has been more than to set in advance
The threshold value etc. set, meets pre-set fault trend, and a width figure below indicates the ascendant trend or decline of curvilinear characteristic
Trend is relatively steady, is the pressure curve under normal conditions.
When specific implementation, the ginseng of transverse and longitudinal coordinate can also be arranged in the drawing process of above-mentioned pressure curve according to the actual situation
Number, it is not limited by the embodiments of the present invention.
When specific implementation, pressure difference data when making except the non-depressed fluctuation of above-mentioned acquisition carries out pressure sensor failure prediction
In addition, pressure difference data when pressure wave movement can also be acquired, the failure predication of air door is carried out, such as fresh air air door 1, fresh air air door
2 and useless exhaust door etc., alternatively, the pressure when pressure difference data and pressure wave when non-depressed fluctuation is made act can also be combined
Difference data.
When acquire pressure wave movement when pressure difference data when, can acquire pressure wave act Y seconds in situation (typically such as
5 seconds), damper faults are judged whether there is by pressure wave situation.
Interpretable failure includes: pressure wave fresh air air door 1, the movement of fresh air air door 2 becomes slow, air door movement is gradually opened
Beginning becomes not in place.The useless exhaust door of the useless row's unit of pressure wave becomes slow, useless exhaust door movement and gradually starts to become not in place,
And solenoid valve actuation time is progressively longer etc..It predicts process, can also be according to above-mentioned sporadic straggling parameter, whole deviation
Parameter and fluctuation straggling parameter are realized.
Such as in the case of Y=5 second, the following action parameter after pressure wave acts is obtained:
1 second after movement, 3 seconds, 5 seconds pressure differences, be recorded as DPr1, DPr3, DPr5, be labeled as sporadic straggling parameter, with
Predict pressure difference variation tendency；
Calculate average value DPravg, DPravg=(DP0+DP1+ ...+DP5000/M-1)/(5000/M) of 5 seconds pressure differences.
In general, can indicate number of samples with n, n=5000/M, i.e., the number of samples in 5 milliseconds, and average value DPravg is labeled as
Whole straggling parameter；
Calculate the absolute value of the adjacent difference of 5 seconds pressure differences and DPrdn, DPd0=| DP1-DP0 |, DPd1=| DP2-
DP1 | ..., absolute value is simultaneously labeled as fluctuation straggling parameter with DPrdn by DPrdn=DPd0+DPd1+ ..., carries out event
Barrier prediction, in order to be able to before the generation of pressure wave dependent failure, by extracting pressure wave data variation feature, to pressure wave event
Barrier carries out look-ahead, accomplishes preventative maintenance, reduces pressure wave failure odds, improves relaxing in train travelling process
Adaptive.
Embodiment two:
Corresponding to pressure wave failure prediction method provided by the above embodiment, the embodiment of the invention also provides a kind of pressure
Wave fault prediction device, the structural schematic diagram of pressure wave fault prediction device as shown in FIG. 6, the device include:
Extraction module 60 extracts pressure parts for wave according to pressure wave operation data for collecting pressure wave operation data
Feature；Wherein, pressure difference number when pressure wave operation data includes the pressure difference data and/or pressure wave movement when non-depressed fluctuation is made
According to；
Judgment module 62, for judging the operation trend of pressure wave according to feature；
It is corresponding to generate operation trend if meeting pre-set fault trend for operation trend for warning module 64
The early warning information of pressure parts for wave.
Specifically, said extracted module is used for: according to pre-set sampling period and sample frequency, collecting identical operating condition
Under pressure wave operation data.
Further, said extracted module is also used to: the pressure parameter of pressure parts for wave is calculated according to pressure wave operation data；
Set pressure parameter to the feature of pressure parts for wave；Wherein, pressure parameter includes at least: sporadic straggling parameter, entirety are partially
Poor parameter and fluctuation straggling parameter.
Further, said extracted module includes at least following calculating process: calculating in the sampling period, pressure sensor acquisition
Pressure difference data maximum value and minimum value, set maximum value and minimum value to the accidental sexual deviation of pressure parts for wave；It calculates
In sampling period, the average value of all pressure difference datas sets average value to the whole deviation of pressure parts for wave；Calculate sampling week
In phase, the absolute value parameter of the adjacent difference of all pressure difference datas sets absolute value parameter to the fluctuation of pressure parts for wave
Deviation.
Further, above-mentioned judgment module is used for: judging preset parameter threshold whether is had more than in pressure parameter
Pressure parameter；If so, determining that operation trend meets pre-set fault trend.
Pressure wave fault prediction device provided in an embodiment of the present invention, with pressure wave failure predication provided by the above embodiment
Method technical characteristic having the same reaches identical technical effect so also can solve identical technical problem.
The computer program product of pressure wave failure prediction method and device provided by the embodiment of the present invention, including storage
The computer readable storage medium of program code, the instruction that said program code includes can be used for executing previous methods embodiment
Described in method, specific implementation can be found in embodiment of the method, details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
It with the specific work process of device, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In addition, in the description of the embodiment of the present invention unless specifically defined or limited otherwise, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.To those skilled in the art, above-mentioned term can be understood in the present invention with concrete condition
Concrete meaning.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" be based on the orientation or positional relationship shown in the drawings, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, term " first ", " second ",
" third " is used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
Finally, it should be noted that above embodiments, only a specific embodiment of the invention, to illustrate skill of the invention
Art scheme, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to the present invention into
Go detailed description, it should be understood by those skilled in the art that: anyone skilled in the art takes off in the present invention
In the technical scope of dew, it can still modify to technical solution documented by previous embodiment or can readily occur in change
Change or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make relevant art
Scheme essence be detached from technical solution of the embodiment of the present invention spirit and scope, should all cover protection scope of the present invention it
It is interior.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (4)
1. a kind of pressure wave failure prediction method, which is characterized in that the described method includes:
Pressure wave operation data is collected, the feature of pressure parts for wave is extracted according to the pressure wave operation data；Wherein, the pressure
Pressure difference data when Reeb operation data includes the pressure difference data and/or pressure wave movement when non-depressed fluctuation is made；The collection
The step of pressure wave operation data includes: to collect the pressure under identical operating condition according to pre-set sampling period and sample frequency
Reeb operation data；
The operation trend of the pressure wave is judged according to the feature；
If the operation trend meets pre-set fault trend, the corresponding pressure wave portion of the operation trend is generated
The early warning information of part；
Wherein, the step of feature that pressure parts for wave is extracted according to the pressure wave operation data includes: according to the pressure
Reeb operation data calculates the pressure parameter of the pressure parts for wave；The pressure parts for wave is set by the pressure parameter
Feature；Wherein, the pressure parameter includes at least: sporadic straggling parameter, whole straggling parameter and fluctuation straggling parameter；
The step of pressure parameter that the pressure parts for wave is calculated according to the pressure wave operation data, includes at least following
Calculating process:
It calculates in the sampling period, the maximum value and minimum value of the pressure difference data of pressure sensor acquisition, by the maximum value
The accidental sexual deviation of the pressure parts for wave is set as with the minimum value；
It calculates in the sampling period, the average value of all pressure difference datas, sets the pressure parts for wave for the average value
Whole deviation；
It calculates in the sampling period, the absolute value parameter of the adjacent difference of all pressure difference datas sets the absolute value parameter
It is set to the fluctuation sexual deviation of the pressure parts for wave.
2. pressure wave failure prediction method according to claim 1, which is characterized in that described to judge institute according to the feature
The step of stating the operation trend of pressure wave include:
Judge the pressure parameter that preset parameter threshold whether is had more than in the pressure parameter；
If so, determining that the operation trend meets pre-set fault trend.
3. a kind of pressure wave fault prediction device, which is characterized in that described device includes:
Extraction module extracts the spy of pressure parts for wave according to the pressure wave operation data for collecting pressure wave operation data
Sign；Wherein, the pressure difference when pressure wave operation data includes the pressure difference data and/or pressure wave movement when non-depressed fluctuation is made
Data；The step of collection pressure wave operation data includes: to collect phase according to pre-set sampling period and sample frequency
With the pressure wave operation data under operating condition；
Judgment module, for judging the operation trend of the pressure wave according to the feature；
It is corresponding to generate the operation trend if meeting pre-set fault trend for the operation trend for warning module
The pressure parts for wave early warning information；
Wherein, the extraction module is used for: the pressure parameter of the pressure parts for wave is calculated according to the pressure wave operation data；
Set the pressure parameter to the feature of the pressure parts for wave；Wherein, the pressure parameter includes at least: accidental sexual deviation
Parameter, whole straggling parameter and fluctuation straggling parameter；
The extraction module includes at least following calculating process:
It calculates in the sampling period, the maximum value and minimum value of the pressure difference data of pressure sensor acquisition, by the maximum value
The accidental sexual deviation of the pressure parts for wave is set as with the minimum value；
It calculates in the sampling period, the average value of all pressure difference datas, sets the pressure parts for wave for the average value
Whole deviation；
It calculates in the sampling period, the absolute value parameter of the adjacent difference of all pressure difference datas sets the absolute value parameter
It is set to the fluctuation sexual deviation of the pressure parts for wave.
4. pressure wave fault prediction device according to claim 3, which is characterized in that the judgment module is used for:
Judge the pressure parameter that preset parameter threshold whether is had more than in the pressure parameter；
If so, determining that the operation trend meets pre-set fault trend.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811034958.7A CN108663224B (en) | 2018-09-06 | 2018-09-06 | Pressure wave failure prediction method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811034958.7A CN108663224B (en) | 2018-09-06 | 2018-09-06 | Pressure wave failure prediction method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108663224A CN108663224A (en) | 2018-10-16 |
| CN108663224B true CN108663224B (en) | 2018-12-07 |
Family
ID=63789110
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811034958.7A Active CN108663224B (en) | 2018-09-06 | 2018-09-06 | Pressure wave failure prediction method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108663224B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109186041B (en) * | 2018-12-05 | 2019-03-05 | 新誉轨道交通科技有限公司 | A kind of undesirable judgment method of air conditioner refrigerating and device |
| CN111289178B (en) * | 2020-05-13 | 2020-07-31 | 新誉轨道交通科技有限公司 | Fault detection method, device, equipment and medium for pressure wave sensor in train |
| CN111487005B (en) * | 2020-06-29 | 2020-09-22 | 新誉轨道交通科技有限公司 | Train pressure wave diagnosis method, device and equipment |
| CN113548074B (en) * | 2021-07-27 | 2022-09-16 | 重庆中车长客轨道车辆有限公司 | Fault monitoring system for double-flow system vehicle air tightness control |
| CN114659702A (en) * | 2022-03-18 | 2022-06-24 | 北京首控电气有限公司 | Medical pressure difference detection method, system, equipment and storage medium |
| CN116698281B (en) * | 2023-08-02 | 2023-10-03 | 新誉集团有限公司 | Fault detection method and system for train pressure wave sensor |
| CN116793574B (en) * | 2023-08-25 | 2023-11-07 | 新誉集团有限公司 | Fault detection method and system for train pressure wave sensor |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1463357A (en) * | 2001-05-18 | 2003-12-24 | 皇家菲利浦电子有限公司 | Device for detecting pressure fluctuations, display device, recording device and sound reprodn. system |
| CN101080699A (en) * | 2004-12-17 | 2007-11-28 | 韩国标准科学研究院 | Trend monitoring and diagnostic analysis method for vacuum pump and trend monitoring and diagnostic analysis system therefor and computer-readable storage media including a computer program which perf |
| CN101788378A (en) * | 2009-01-23 | 2010-07-28 | 西门子公司 | Mechanical failure diagnostic method and device |
| DE102014205742A1 (en) * | 2014-03-27 | 2015-10-15 | Siemens Aktiengesellschaft | Rail vehicle with a pressure protection unit |
| CN108407835A (en) * | 2018-07-12 | 2018-08-17 | 新誉轨道交通科技有限公司 | Intelligent pressure wave protects system and method |
-
2018
- 2018-09-06 CN CN201811034958.7A patent/CN108663224B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1463357A (en) * | 2001-05-18 | 2003-12-24 | 皇家菲利浦电子有限公司 | Device for detecting pressure fluctuations, display device, recording device and sound reprodn. system |
| CN101080699A (en) * | 2004-12-17 | 2007-11-28 | 韩国标准科学研究院 | Trend monitoring and diagnostic analysis method for vacuum pump and trend monitoring and diagnostic analysis system therefor and computer-readable storage media including a computer program which perf |
| CN101788378A (en) * | 2009-01-23 | 2010-07-28 | 西门子公司 | Mechanical failure diagnostic method and device |
| DE102014205742A1 (en) * | 2014-03-27 | 2015-10-15 | Siemens Aktiengesellschaft | Rail vehicle with a pressure protection unit |
| CN108407835A (en) * | 2018-07-12 | 2018-08-17 | 新誉轨道交通科技有限公司 | Intelligent pressure wave protects system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108663224A (en) | 2018-10-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108663224B (en) | Pressure wave failure prediction method and device | |
| CN205906840U (en) | Elevator failure diagnosis device | |
| CN103144937B (en) | System and method for intelligently monitoring belt-type conveyer for coal mine steel wire rope core | |
| CN106662072A (en) | Wind turbine condition monitoring method and system | |
| CN101826135A (en) | Be used to strengthen the integrated information fusion of vehicle diagnostics, prediction and maintenance practice | |
| CN110715808B (en) | Fault detection method and device | |
| CN104297002B (en) | A kind of subway Electric plug sliding door fault prediction device | |
| CN106884784B (en) | A kind of performance estimating method of vacuum pump, device and electric vehicle | |
| CN103626003A (en) | Elevator fault detecting method and system | |
| CN112036581B (en) | Performance detection method and device for vehicle air conditioning system, storage medium and terminal | |
| CN102951512A (en) | Control device of control system and elevator system | |
| CN112141069B (en) | Health management system of braking and air supply system for motor train unit | |
| CN104925613A (en) | Online safety detection prewarning device of elevator and detection prewarning method thereof | |
| CN113581253B (en) | State determination method and device for electric air switch machine | |
| CN111157898A (en) | New energy vehicle online battery fault detection and analysis method and device | |
| CN101539490B (en) | Method and system for recognizing screen-door faults on basis of acquiring screen-door operation curves | |
| RU2714972C1 (en) | Prevention of malfunctions during operation of motorized door | |
| CN106324514B (en) | Vehicular battery method for testing performance and its system | |
| CN110209999A (en) | A kind of mobile unit failure trend prediction method | |
| CN106019138A (en) | Online diagnosis method for mechanical fault of high-voltage circuit breaker | |
| CN111272412B (en) | Fault detection method, device, equipment and storage medium of electric control pneumatic equipment | |
| CN110790101A (en) | Elevator trapping false alarm identification method based on big data analysis | |
| CN113562562A (en) | Elevator safety early warning monitoring system and judgment method thereof | |
| CN110426624A (en) | The appraisal procedure and device of circuit-breaker status | |
| CN110823552B (en) | Electronic parking caliper noise measurement device and measurement method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Pressure wave fault prediction method and device Effective date of registration: 20191111 Granted publication date: 20181207 Pledgee: New United Group Co., Ltd. Pledgor: Xin Yu track traffic Science and Technology Ltd. Registration number: Y2019980000550 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20200303 Granted publication date: 20181207 Pledgee: XIN YU GROUP Co.,Ltd. Pledgor: Xin Yu track traffic Science and Technology Ltd. Registration number: Y2019980000550 |
|
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20181016 Assignee: Sou beautiful (Beijing) Technology Development Co., Ltd Assignor: Xin Yu track traffic Science and Technology Ltd. Contract record no.: X2020980000539 Denomination of invention: Pressure wave fault prediction method and device Granted publication date: 20181207 License type: Common License Record date: 20200309 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Pressure wave fault prediction method and device Effective date of registration: 20200310 Granted publication date: 20181207 Pledgee: XIN YU GROUP Co.,Ltd. Pledgor: NEW UNITED RAIL TRANSIT TECHNOLOGY Co.,Ltd. Registration number: Y2020980000582 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20211119 Granted publication date: 20181207 Pledgee: NEW UNITED GROUP Co.,Ltd. Pledgor: NEW UNITED RAIL TRANSIT TECHNOLOGY Co.,Ltd. Registration number: Y2020980000582 |