CN109781279A - Train axle box temperature monitoring method and device - Google Patents
Train axle box temperature monitoring method and device Download PDFInfo
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- CN109781279A CN109781279A CN201910152623.3A CN201910152623A CN109781279A CN 109781279 A CN109781279 A CN 109781279A CN 201910152623 A CN201910152623 A CN 201910152623A CN 109781279 A CN109781279 A CN 109781279A
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Abstract
The embodiment of the present invention provides a kind of train axle box temperature monitoring method and device, the described method includes: calculating waveform according to target waveform curve jumps index, the target waveform curve is the temperature wavy curve for one section of predetermined time period of target axle box, and the waveform jump index is used to indicate the waveform jump degree of the target waveform curve；Index is jumped according to target waveform curve and the waveform, sends monitoring result to train control system.Train axle box temperature monitoring method and device provided in an embodiment of the present invention, by being optimized to software algorithm, increase the function to the judgement of abnormal temperature Curves Recognition, solves the problems, such as the false alarm that the jump extremely of axle box present in high-speed EMUs operational process, gear-box and motor bearings temperature detection signal causes, temperature detection misinformation probability is reduced, EMU operational efficiency is improved.
Description
Technical field
The present embodiments relate to technical field of rail traffic more particularly to a kind of train axle box temperature monitoring methods and dress
It sets.
Background technique
Train in operation, axle and bearing mutually friction generates heat energy.When breaking down between axle and bearing, friction
Power increases, and the thermal energy of generation just increases therewith, and the temperature of axle box also increases, after axle box temperature is more than certain threshold value, just
Hot box accident can occur, train combustion axis failure directly threatens the safety of railway transportation, and less serious case causes Train delay, and severe one is de-
Rail.Therefore, train axle box temperature is monitored, it is extremely important.
In the prior art, the method being monitored to train axle box temperature mainly comprises the steps that firstly, to axle box temperature
Degree is detected, and carries out real time contrast's judgement with setting alarm threshold value, when detection temperature reaches alarm threshold value, triggering alarm
Carry out speed limit or parking.
But this method has the following disadvantages: i.e. actual temperature and not up to setting value, but due to temperature sensor event
Barrier or acquisition route poor contact, produce the temperature information of superthreshold, to cause false alarm, reduce the operation of train
Efficiency.
Summary of the invention
A kind of overcome the above problem the purpose of the embodiment of the present invention is that providing or at least be partially solved the above problem
Train axle box temperature monitoring method and device.
In order to solve the above-mentioned technical problem, on the one hand, the embodiment of the present invention provides a kind of train axle box temperature monitoring method,
Include:
Waveform is calculated according to target waveform curve and jumps index, and the target waveform curve is one section for target axle box
The temperature wavy curve of predetermined time period, the waveform jump index are used to indicate the waveform jump of the target waveform curve
Degree；
Index is jumped according to target waveform curve and the waveform, sends monitoring result to train control system.
On the other hand, the embodiment of the present invention provides a kind of train axle box temperature monitoring device, comprising:
Computing module, for according to target waveform curve calculate waveform jump index, the target waveform curve be for
The temperature wavy curve of one section of predetermined time period of target axle box, the waveform jump index is for indicating the target waveform
The waveform of curve jumps degree；
Alarm module is sent for jumping index according to target waveform curve and the waveform to train control system
Monitoring result.
In another aspect, the embodiment of the present invention provides a kind of electronic equipment, comprising:
Memory and processor, the processor and the memory complete mutual communication by bus；It is described to deposit
Reservoir is stored with the program instruction that can be executed by the processor, and it is above-mentioned that the processor calls described program instruction to be able to carry out
Method.
Another aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program realizes above-mentioned method when the computer program is executed by processor.
Train axle box temperature monitoring method and device provided in an embodiment of the present invention, by being optimized to software algorithm,
The function to the judgement of abnormal temperature Curves Recognition is increased, solves axle box present in high-speed EMUs operational process, gear
The false alarm problem that case and the jump extremely of motor bearings temperature detection signal cause, reduces temperature detection misinformation probability, improves
EMU operational efficiency.
Detailed description of the invention
Fig. 1 is train axle box temperature monitoring method schematic diagram provided in an embodiment of the present invention；
Fig. 2 is that train axle box temperature alarming provided in an embodiment of the present invention handles logical flow diagram；
Fig. 3 is train axle box temperature monitoring device schematic diagram provided in an embodiment of the present invention；
Fig. 4 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to keep the purposes, technical schemes and advantages of the embodiment of the present invention clearer, implement below in conjunction with the present invention
Attached drawing in example, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiment of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Fig. 1 is train axle box temperature monitoring method schematic diagram provided in an embodiment of the present invention, as shown in Figure 1, the present invention is real
It applies example and a kind of train axle box temperature monitoring method is provided, this method comprises:
Step S101, waveform is calculated according to target waveform curve and jumps index, the target waveform curve is for target
The temperature wavy curve of one section of predetermined time period of axle box, the waveform jump index is for indicating the target waveform curve
Waveform jump degree；
Step S102, index is jumped according to target waveform curve and the waveform, sends and monitors to train control system
As a result.
Specifically, firstly, calculating waveform by target waveform curve jumps index.Target waveform curve is for target
The temperature wavy curve of one section of predetermined time period of axle box.Predetermined time period can be configured according to the actual situation, example
Such as, it is set as 120 seconds, includes several temperature values in target waveform curve, for example, one second correspondence, one temperature value, one section 120
The temperature wavy curve of second includes 120 temperature values.
Waveform jump index is used to indicate the waveform jump degree of target waveform curve.Under normal conditions, target waveform is bent
The variation of line is more steady, is not in the case where temperature value jumps suddenly, waveform jump index is for indicating target waveform song
The waveform of line jumps degree.In the case where serious situation is compared in the waveform jump of target waveform curve, since temperature collecting device goes out
Failure is showed, has led to some temperature value inaccuracy, the temperature value of these inaccuracy will lead to the false alarm of temperature.
Then, index is jumped according to target waveform curve and waveform, sends monitoring result to train control system.
The value that waveform jumps index is 0 or 1, wherein the value that waveform jumps index is 0, indicates the target waveform curve
Waveform jump degree it is small, waveform state is normal, waveform jump index value be 1, indicate the waveform of the target waveform curve
Jump degree is big, waveform abnormal state.
It is being compared according to target axle box temperature with the alarm threshold value of setting, before exporting alarming result, according to waveform
The waveform state of jump measure target waveform curve leads to target waveform curve so as to avoid due to Temperature jump
Waveform abnormal state, and cause false alarm.
Waveform jump index is used to indicate the waveform jump degree of target waveform curve, and waveform jumps in index and waveform
The number net assessment parameter and rate of temperature change that rise and fall change frequency, one direction jump amplitude, each jump amplitude occur
Equal relating to parameters are to carry out the result that comprehensive descision obtains according to preset algorithm model according to these parameters.For example, can be according to
Following algorithm model calculates:
Temperature rise system belongs to inertia system, and true train axle box temperature curve data are the process of a gradual change, positive room temperature
The change rate of degree, which is generally less than, is equal to 3 degrees seconds Celsius.
Cache certain time t1The temperature data of (can be adjusted according to actual needs, this example takes 120 seconds), and according to this
The number net assessment ginseng that the rise and fall change frequency f of section time waveform, one direction jump amplitude R, each jump amplitude occur
Number S, rate of temperature change I carry out comprehensive descision, obtain waveform jump extent index waveform jump Index A.
Each parameter definition is as follows:
Rise and fall change frequency f: in t1Change on the direction that period inner curve rises or falls number (rise or
The direction transformation of decline calculates the difference that need to meet highs and lows more than or equal to 2 DEG C).
One direction jumps amplitude R: being standard based on the up and down defined when calculating f, takes t1Period inner curve is maximum
Smaller value in both rising amplitude and maximum descent amplitude is R value.
The number net assessment parameter S:t that each jump amplitude occurs1In period, between temperature and previous second difference and its
The corresponding number occurred of each difference, by formula S=k1*2*2+k2*3*3+k3* assessment parameter, k is calculated in 4*41、k2、k3Respectively
For it is per second jump 2 DEG C, 3 DEG C, 4 DEG C used in coefficient, wherein k1、k2、k3It needs to adjust according to the variation of Car design and R value.
Rate of temperature change I:| Δ (t)-Δ (t-1) | at 4 DEG C of <, I=0, otherwise I=1.
To avoid interfering caused jump from causing to judge by accident, therefore I will continue 70s to the judgement of A, rejudge again after 70s.
1. if continuous 70s keeps I=1, A=1；Think curve abnormality.
2. if f > 8 and S > 15 and R > 3, A=1；That is: curve biggish for vibration frequency, if fluctuation amplitude reaches
To 3 DEG C, if having 1 hop value reach 4 DEG C perhaps 2 hop values reach 3 DEG C perhaps 1 time 2 DEG C and 1 time 3 DEG C or 4 times
Hop value reaches 2 DEG C, thinks curve abnormality.
3. if f > 3 and S >=10 and R >=6, A=1；That is: curve lesser for vibration frequency, if fluctuation amplitude reaches
To 6 DEG C, if having 2 hop values reach 3 DEG C perhaps 12 DEG C and 13 DEG C or 3 hop values reach 2 DEG C, think bent
Line is abnormal.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
On the basis of the above embodiments, further, it is described according to target waveform curve calculate waveform jump index it
Before, further includes:
According to the collected train axle box temperature data of temperature collecting device, the target waveform curve is generated.
Specifically, before calculating waveform by target waveform curve and jumping index, it is also necessary to temperature collecting device
Collected train axle box temperature data is handled, and according to the collected train axle box temperature data of temperature collecting device,
Generate target waveform curve.
Temperature collecting device, for example, the temperature sensor in train axle box is set, adopting when acquiring train axle box temperature
Sample rate is usually larger, for example, sampling per second 100 times, and temperature rise system belongs to inertia system, true train axle box temperature curve number
According to the process for being a gradual change, the change rate of normal temperature, which is generally less than, is equal to 3 degrees seconds Celsius, in order to avoid biggish calculating
Amount, when generating one section of 120 seconds temperature wavy curve, firstly, collected temperature data in this 120 seconds is handled,
After processing, one temperature value of generation per second, when corresponding temperature value of previous second can be set to it is collected several in this second
The average value of a temperature value, for example, sampling per second 100 times, when corresponding temperature value of previous second is collected 100 in this second
The average value of a temperature value.
After complete to data processing, according to treated train axle box temperature data, target waveform curve is generated.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
On the basis of the above various embodiments, further, referred to according to target waveform curve and waveform jump
Number sends monitoring result to train control system, specifically includes:
If judging to know that the value of the waveform jump index is 1, the first monitoring knot is sent to the train control system
The value of fruit, the waveform jump index is 1, indicates that the waveform jump degree of the target waveform curve is big, waveform abnormal state,
First monitoring result breaks down for the temperature collecting device for the target axle box；
If judging to know that the value of the waveform jump index is 0, waveform Monotone index is calculated according to target waveform curve,
And monitoring result is sent to the train control system according to the waveform Monotone index, the value of the waveform jump index is 0,
Indicate that the waveform jump degree of the target waveform curve is small, waveform state is normal, and the waveform Monotone index is for indicating institute
State the monotonicity of target waveform curve.
Specifically, Fig. 2 is that train axle box temperature alarming provided in an embodiment of the present invention handles logical flow diagram, such as
Shown in Fig. 2, it is being compared according to target axle box temperature with the alarm threshold value of setting, before exporting alarming result, firstly, according to
Waveform jumps the waveform state that Index A measures target waveform curve.
If the value that waveform jumps Index A is 1, the first monitoring result is sent to train control system, waveform jump refers to
Several values is 1, indicates that the waveform jump degree of target waveform curve is big, waveform abnormal state, the first monitoring result is for mesh
The temperature collecting device of parameter case breaks down.That is, when detecting that there are temperature values the feelings jumped occurs in target waveform curve
Condition sends temperature collecting device to train control system as long as after the jump temperature value has been more than default threshold value of warning
The information of failure at this point, will not be more than default threshold value of warning because of Temperature jump, and generates false alarm.
If the value that waveform jumps Index A is 0, waveform Monotone index B is calculated according to target waveform curve, and according to wave
Shape Monotone index B sends monitoring result to train control system.The value that waveform jumps index is 0, indicates target waveform curve
Waveform jump degree is small, and waveform state is normal.
Waveform Monotone index B is used to indicate the monotonicity of target waveform curve.The value of waveform Monotone index B is 1, indicates mesh
Mark wavy curve monotone increasing.The value of waveform Monotone index B is 0, indicates target waveform curve falling or horizontal.Waveform dullness refers to
Number B is related with the portion temperature value in waveform, is to carry out comprehensive descision according to preset algorithm model according to portion temperature value to obtain
The result arrived.For example, can be calculated according to following algorithm model:
Normal temperature rise curve should be in continuous upward trend substantially, if temperature curve has the feelings of a large amount of fallings or level
Condition can then exclude to be non-true temperature rise slope early warning substantially, therefore introduce waveform Monotone index B for indicating target waveform
The monotonicity of curve.
Firstly, doing operation weighting pretreatment to temperature detection data, the temperature curve that will test is fitted to one close to original
The smoothed curve of beginning curve, avoids temperature jitter when normal temperature rise from failing to report caused by falling after rise, then chooses the temperature in certain time
Degree is according to the judgement for carrying out temperature curve rising.Specifically comprise the following steps:
(1) by actual acquisition to temperature curve D (t) be integrated into a smoothed curve d (t) close with primitive curve,
Temperature jitter when normal temperature rise is avoided to fail to report caused by falling after rise.Curve d (t) after integration is served only for calculating the meter in step (2)
Numerical value n is not used in storage and participates in other calculate.
(2) temperature value of 50s is used to carry out the judgement of temperature curve rising before taking, by being simulated to a large amount of fault datas,
Determine judgment method are as follows: the number of statistics d (t) >=d (t-1) (temperature during temperature rise it is smooth after do not decline, the unit of t is
Second), clear 0 is counted if becoming smaller, is added up again, and count value n is obtained；
Simultaneously when meeting following 4 conditions: b=1, otherwise b=0:
1. n >=35 indicate that curve overall trend is rising.
Sum 2. (h (46~50)) > sum (h (41~45)), the 46 to 50th temperature value and be greater than the 41 to 45th
The sum of temperature value, expression are quoted the moment in final slope early warning, and temperature must be on the rise.
3. sum (h (14~21)) > sum (h (1~8)) is indicated in temperature ramp de, back segment temperature need to be than leading portion temperature
Degree has rising.
4. (sum (h (46~50))-sum (h (1~5))) * 2 > 15 are indicated in temperature ramp de, back segment temperature needs to compare
Front-end temperature has rising.
If b continuous 3 times > 0, B=1 is exported, otherwise B=0.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
On the basis of the above various embodiments, further, it is described according to the waveform Monotone index to the train control
System processed sends monitoring result, specifically includes:
If the value for judging to know the waveform Monotone index is 1, and the target waveform curve meets the first preset condition
Any one of, then the second monitoring result is sent to the train control system；
Wherein, the value of the waveform Monotone index is 1, indicates the target waveform curve monotone increasing；
First preset condition includes:
(1) mean temperature of the target axle box is more than the first preset threshold；
(2) maximum value of the difference of the mean temperature of the mean temperature and other axle boxes of the target axle box is more than second default
Threshold value；
(3) climbing speed of the target waveform curve is more than third predetermined threshold value；
Second monitoring result is that the temperature of the target axle box is excessively high.
Specifically, as shown in Fig. 2, indicating target waveform curve monotone increasing if the value of waveform Monotone index is 1,
At this time, it may be necessary to further judge whether target waveform curve meets any one of first preset condition.
First preset condition includes:
(1) mean temperature of target axle box is more than the first preset threshold；
(2) maximum value of the difference of the mean temperature of the mean temperature and other axle boxes of target axle box is more than the second default threshold
Value；
(3) climbing speed of target waveform curve is more than third predetermined threshold value.
Second monitoring result is that the temperature of the target axle box is excessively high.
Wherein, condition (1) indicates that the mean temperature of target axle box is more than in one section of wavy curve of predetermined time period
First preset threshold, at this point, warning message should be sent to train control system, to prompt being averaged for driver's target axle box
Temperature has been more than the first preset threshold.
Condition (2) indicate in a monitoring system include multiple axle boxes when, if the mean temperature of target axle box and its
The maximum value of the difference of the mean temperature of his axle box is more than the second preset threshold, is alarmed at this point, should send to train control system
Information is more than second pre- to prompt the maximum value of the difference of the mean temperature of driver's target axle box and the mean temperature of other axle boxes
If threshold value.
Condition (3) although indicate axle box temperature be not above preset alarm threshold value, if raising speed in axle box temperature
Rate is more than third predetermined threshold value, and third predetermined threshold value is the upper limit of the normal heating rate of axle box, at this point, still having the temperature of axle box
Degree is more than the risk of preset alarm threshold value, it is still desirable to warning message is sent to train control system, to prompt driver's target
The climbing speed of wavy curve is more than third predetermined threshold value.To facilitate driver after receiving warning message, deceleration, parking are taken
Etc. modes, avoid accident.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
On the basis of the above various embodiments, further, it is described according to the waveform Monotone index to the train control
System processed sends monitoring result, further includes:
If the value for judging to know the waveform Monotone index is 0, and the target waveform curve meets the second preset condition
Any one of, then third monitoring result is sent to the train control system；
Wherein, the value of the waveform Monotone index is 0, indicates the target waveform curve falling or horizontal；
Second preset condition includes:
(1) mean temperature of the target axle box is more than first preset threshold；
(2) maximum value of the difference of the mean temperature of the mean temperature and other axle boxes of the target axle box is more than described second
Preset threshold；
The third monitoring result is that the temperature of the target axle box is excessively high.
Specifically, as shown in Fig. 2, indicating the falling of target waveform curve or water if the value of waveform Monotone index is 0
It is flat, at this time, it may be necessary to further judge whether target waveform curve meets any one of second preset condition.
Second preset condition includes:
(1) mean temperature of target axle box is more than the first preset threshold；
(2) maximum value of the difference of the mean temperature of the mean temperature and other axle boxes of target axle box is more than the second default threshold
Value.
Second monitoring result is that the temperature of the target axle box is excessively high.
Wherein, condition (1) indicates that the mean temperature of target axle box is more than in one section of wavy curve of predetermined time period
First preset threshold, at this point, warning message should be sent to train control system, to prompt being averaged for driver's target axle box
Temperature has been more than the first preset threshold.
Condition (2) indicate in a monitoring system include multiple axle boxes when, if the mean temperature of target axle box and its
The maximum value of the difference of the mean temperature of his axle box is more than the second preset threshold, is alarmed at this point, should send to train control system
Information is more than second pre- to prompt the maximum value of the difference of the mean temperature of driver's target axle box and the mean temperature of other axle boxes
If threshold value.To facilitate driver after receiving warning message, takes the modes such as deceleration, parking, avoids accident.
In the case where the value of waveform Monotone index is 0, target waveform curve is in falling or horizontality, therefore, no
Consider further that the climbing speed of target waveform curve.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
It is further, described to send the second monitoring knot to the train control system on the basis of the above various embodiments
Before fruit, further includes:
The mean temperature of the target axle box, the mean temperature of the target axle box are calculated according to the target waveform curve
For the average value of each temperature value in the target waveform curve.
Specifically, before sending the second monitoring result to train control system, further includes:
The mean temperature of target axle box is calculated according to target waveform curve, the mean temperature of target axle box is that target waveform is bent
The average value of each temperature value in line.That is, being needed before whether the mean temperature for judging target axle box is more than the first preset threshold
The mean temperature of target axle box is calculated according to target waveform curve.
The mean temperature of target axle box is the average value of each temperature value in target waveform curve.For example, for example, one section
120 seconds temperature wavy curves include 120 temperature values, and one second correspondence, one temperature value, the mean temperature of target axle box is this
The average value of 120 temperature values.
Alternatively, the mean temperature of target axle box be in target waveform curve other than maximum value and minimum value other are each
The average value of a temperature value.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
On the basis of the above various embodiments, further, the third predetermined threshold value is 3 degrees seconds Celsius.
Specifically, temperature rise system belongs to inertia system, and true train axle box temperature curve data are the mistakes of a gradual change
Journey, the change rate of normal temperature, which is generally less than, is equal to 3 degrees seconds Celsius, that is, and the upper limit of the normal heating rate of axle box is 3 degrees Celsius/
Second.Third predetermined threshold value is set as the upper limit of the normal heating rate of axle box.
Train axle box temperature monitoring method provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
Fig. 3 is train axle box temperature monitoring device schematic diagram provided in an embodiment of the present invention, as shown in figure 3, the present invention is real
It applies example and a kind of train axle box temperature monitoring device is provided, for executing any of the above-described method as described in the examples, specifically include
Computing module 301 and alarm module 302, in which:
Computing module 301 is used to calculate waveform according to target waveform curve and jumps index, and the target waveform curve is needle
To the temperature wavy curve of one section of predetermined time period of target axle box, the waveform jump index is for indicating the target wave
The waveform of shape curve jumps degree；Alarm module 302 is used to jump index according to target waveform curve and the waveform, to
Train control system sends monitoring result.
Specifically, firstly, calculating waveform according to target waveform curve using computing module 301 jumps index.Target wave
Shape curve is the temperature wavy curve for one section of predetermined time period of target axle box.Predetermined time period can be according to reality
Situation is configured, and includes several temperature values in target waveform curve, for example, one second correspondence one for example, being set as 120 seconds
A temperature value, one section of 120 seconds temperature wavy curve include 120 temperature values.
Waveform jump index is used to indicate the waveform jump degree of target waveform curve.Under normal conditions, target waveform is bent
The variation of line is more steady, is not in the case where temperature value jumps suddenly, waveform jump index is for indicating target waveform song
The waveform of line jumps degree.In the case where serious situation is compared in the waveform jump of target waveform curve, since temperature collecting device goes out
Failure is showed, has led to some temperature value inaccuracy, the temperature value of these inaccuracy will lead to the false alarm of temperature.
Then, index is jumped according to target waveform curve and waveform using alarm module 302, to train control system
Send monitoring result.
The value that waveform jumps index is 0 or 1, wherein the value that waveform jumps index is 0, indicates the target waveform curve
Waveform jump degree it is small, waveform state is normal, waveform jump index value be 1, indicate the waveform of the target waveform curve
Jump degree is big, waveform abnormal state.
It is being compared according to target axle box temperature with the alarm threshold value of setting, before exporting alarming result, according to waveform
The waveform state of jump measure target waveform curve leads to target waveform curve so as to avoid due to Temperature jump
Waveform abnormal state, and cause false alarm.
Train axle box temperature monitoring device provided in an embodiment of the present invention is increased by optimizing to software algorithm
To the function of abnormal temperature Curves Recognition judgement, solve axle box present in high-speed EMUs operational process, gear-box and electricity
The false alarm problem that the jump extremely of machine bearing temperature detection signal causes, reduces temperature detection misinformation probability, improves EMU
Operational efficiency.
Fig. 4 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 4, the equipment includes: place
Manage device (processor) 401, memory (memory) 402 and bus 403；
Wherein, processor 401 and memory 402 complete mutual communication by the bus 403；
Processor 401 is used to call the program instruction in memory 402, to execute provided by above-mentioned each method embodiment
Method, for example,
Waveform is calculated according to target waveform curve and jumps index, and the target waveform curve is one section for target axle box
The temperature wavy curve of predetermined time period, the waveform jump index are used to indicate the waveform jump of the target waveform curve
Degree；
Index is jumped according to target waveform curve and the waveform, sends monitoring result to train control system.
In addition, the logical order in above-mentioned memory can be realized and as independence by way of SFU software functional unit
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention provides a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out method provided by above-mentioned each method embodiment, for example,
Waveform is calculated according to target waveform curve and jumps index, and the target waveform curve is one section for target axle box
The temperature wavy curve of predetermined time period, the waveform jump index are used to indicate the waveform jump of the target waveform curve
Degree；
Index is jumped according to target waveform curve and the waveform, sends monitoring result to train control system.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage
Medium storing computer instruction, the computer instruction make the computer execute side provided by above-mentioned each method embodiment
Method, for example,
Waveform is calculated according to target waveform curve and jumps index, and the target waveform curve is one section for target axle box
The temperature wavy curve of predetermined time period, the waveform jump index are used to indicate the waveform jump of the target waveform curve
Degree；
Index is jumped according to target waveform curve and the waveform, sends monitoring result to train control system.
The embodiments such as device and equipment described above are only schematical, wherein described be used as separate part description
Unit may or may not be physically separated, component shown as a unit may or may not be
Physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to the actual needs
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying
In the case where creative labor, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of train axle box temperature monitoring method characterized by comprising
Waveform is calculated according to target waveform curve and jumps index, and the target waveform curve is default for one section for target axle box
The temperature wavy curve of time span, the waveform jump index are used to indicate the waveform jump journey of the target waveform curve
Degree；
Index is jumped according to target waveform curve and the waveform, sends monitoring result to train control system.
2. the method according to claim 1, wherein described calculate waveform jump index according to target waveform curve
Before, further includes:
According to the collected train axle box temperature data of temperature collecting device, the target waveform curve is generated.
3. the method according to claim 1, wherein being referred to according to target waveform curve and waveform jump
Number sends monitoring result to train control system, specifically includes:
If judging to know that the value of the waveform jump index is 1, the first monitoring result, institute are sent to the train control system
The value for stating waveform jump index is 1, indicates that the waveform jump degree of the target waveform curve is big, waveform abnormal state is described
First monitoring result breaks down for the temperature collecting device for the target axle box；
If judging to know that the value of the waveform jump index is 0, waveform Monotone index, and root are calculated according to target waveform curve
Monitoring result is sent to the train control system according to the waveform Monotone index, the value of the waveform jump index is 0, is indicated
The waveform jump degree of the target waveform curve is small, and waveform state is normal, and the waveform Monotone index is for indicating the mesh
Mark the monotonicity of wavy curve.
4. according to the method described in claim 3, it is characterized in that, it is described according to the waveform Monotone index to the train control
System processed sends monitoring result, specifically includes:
If the value for judging to know the waveform Monotone index is 1, and the target waveform curve meets in the first preset condition
It is any, then the second monitoring result is sent to the train control system；
Wherein, the value of the waveform Monotone index is 1, indicates the target waveform curve monotone increasing；
First preset condition includes:
(1) mean temperature of the target axle box is more than the first preset threshold；
(2) maximum value of the difference of the mean temperature of the mean temperature and other axle boxes of the target axle box is more than the second default threshold
Value；
(3) climbing speed of the target waveform curve is more than third predetermined threshold value；
Second monitoring result is that the temperature of the target axle box is excessively high.
5. according to the method described in claim 4, it is characterized in that, it is described according to the waveform Monotone index to the train control
System processed sends monitoring result, further includes:
If the value for judging to know the waveform Monotone index is 0, and the target waveform curve meets in the second preset condition
It is any, then third monitoring result is sent to the train control system；
Wherein, the value of the waveform Monotone index is 0, indicates the target waveform curve falling or horizontal；
Second preset condition includes:
(1) mean temperature of the target axle box is more than first preset threshold；
(2) maximum value of the difference of the mean temperature of the mean temperature and other axle boxes of the target axle box is more than described second default
Threshold value；
The third monitoring result is that the temperature of the target axle box is excessively high.
6. according to the method described in claim 4, it is characterized in that, described send the second monitoring knot to the train control system
Before fruit, further includes:
The mean temperature of the target axle box is calculated according to the target waveform curve, the mean temperature of the target axle box is institute
State the average value of each temperature value in target waveform curve.
7. according to the method described in claim 4, it is characterized in that, the third predetermined threshold value is 3 degrees seconds Celsius.
8. a kind of train axle box temperature monitoring device characterized by comprising
Computing module jumps index for calculating waveform according to target waveform curve, and the target waveform curve is for target
The temperature wavy curve of one section of predetermined time period of axle box, the waveform jump index is for indicating the target waveform curve
Waveform jump degree；
Alarm module sends to train control system and monitors for jumping index according to target waveform curve and the waveform
As a result.
9. a kind of electronic equipment characterized by comprising
Memory and processor, the processor and the memory complete mutual communication by bus；The memory
It is stored with the program instruction that can be executed by the processor, the processor calls described program instruction to be able to carry out right such as and wants
Seek 1 to 7 any method.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that when the meter
When calculation machine program is executed by processor, the method as described in claim 1 to 7 is any is realized.
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| CN201910152623.3A CN109781279B (en) | 2019-02-28 | 2019-02-28 | Train axle box temperature monitoring method and device |
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