CN109781279B - Train axle box temperature monitoring method and device - Google Patents
Train axle box temperature monitoring method and device Download PDFInfo
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- CN109781279B CN109781279B CN201910152623.3A CN201910152623A CN109781279B CN 109781279 B CN109781279 B CN 109781279B CN 201910152623 A CN201910152623 A CN 201910152623A CN 109781279 B CN109781279 B CN 109781279B
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Abstract
The embodiment of the invention provides a method and a device for monitoring the temperature of a train axle box, wherein the method comprises the following steps: calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve; and sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index. According to the method and the device for monitoring the temperature of the axle box of the train, provided by the embodiment of the invention, the function of identifying and judging an abnormal temperature curve is added by optimizing a software algorithm, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and a motor bearing in the running process of a high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of rail transit, in particular to a method and a device for monitoring the temperature of a train axle box.
Background
When the train runs, the axle and the bearing rub against each other to generate heat energy. When a fault occurs between the axle and the bearing, the friction force is increased, the generated heat energy is increased, the temperature of the axle box is increased, axle burning accidents can occur after the temperature of the axle box exceeds a certain threshold value, the axle burning faults of the train directly threaten the safety of railway transportation, and light persons cause the late point of the train and heavy persons derail. Therefore, it is very important to monitor the temperature of the axle box of the train.
In the prior art, a method for monitoring the temperature of a train axle box mainly comprises the following steps: firstly, detecting the temperature of the axle box, comparing and judging the temperature with a set alarm threshold value in real time, and triggering alarm to limit the speed or stop the vehicle when the detected temperature reaches the alarm threshold value.
However, this method has the following disadvantages: namely, the actual temperature does not reach the set value, but temperature information exceeding the threshold value is generated due to the fault of the temperature sensor or poor contact of the acquisition line, so that false alarm is caused, and the running efficiency of the train is reduced.
Disclosure of Invention
It is an aim of embodiments of the present invention to provide a method and apparatus for monitoring the temperature of a train axlebox which overcomes, or at least partially solves, the above mentioned problems.
In order to solve the technical problem, in one aspect, an embodiment of the present invention provides a method for monitoring a temperature of a train axle box, including:
calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
and sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
On the other hand, the embodiment of the invention provides a temperature monitoring device for a train axle box, which comprises:
the calculating module is used for calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
and the alarm module is used for sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
In another aspect, an embodiment of the present invention provides an electronic device, including:
the processor and the memory are communicated with each other through a bus; the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the methods described above.
In yet another aspect, the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the above-mentioned method.
According to the method and the device for monitoring the temperature of the axle box of the train, provided by the embodiment of the invention, the function of identifying and judging an abnormal temperature curve is added by optimizing a software algorithm, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and a motor bearing in the running process of a high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
Drawings
FIG. 1 is a schematic diagram of a method for monitoring temperature of a train axle box according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a logic flow of alarm processing for temperature of a train axle box according to an embodiment of the present invention;
FIG. 3 is a schematic view of a temperature monitoring device for a train axle box according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic view of a method for monitoring a temperature of a train axle box according to an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a method for monitoring a temperature of a train axle box, the method including:
step S101, calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
and S102, sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
Specifically, first, the waveform transition index is calculated from the target waveform curve. The target waveform profile is a temperature waveform profile for a preset length of time for the target axle housing. The preset time length may be set according to an actual situation, for example, set to 120 seconds, the target waveform curve includes a plurality of temperature values, for example, one second corresponds to one temperature value, and a temperature waveform curve of one segment of 120 seconds includes 120 temperature values.
The waveform transition index is used to indicate the degree of waveform transition of the target waveform curve. In general, the change of the target waveform curve is relatively stable, the sudden jump of the temperature value cannot occur, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve. Under the condition that the waveform jump of a target waveform curve is serious, some temperature values are inaccurate due to faults of the temperature acquisition device, and the inaccurate temperature values can cause false alarm of the temperature.
And then, sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
The value of the waveform jump index is 0 or 1, wherein the value of the waveform jump index is 0, which indicates that the waveform jump degree of the target waveform curve is small and the waveform state is normal, and the value of the waveform jump index is 1, which indicates that the waveform jump degree of the target waveform curve is large and the waveform state is abnormal.
And before the alarm result is output according to the comparison between the temperature of the target axle box and the set alarm threshold value, measuring the waveform state of the target waveform curve according to the waveform jump index, thereby avoiding the false alarm caused by abnormal waveform state of the target waveform curve due to temperature jump.
The waveform jump index is used for representing the waveform jump degree of a target waveform curve, is related to parameters such as rising and falling change times, unidirectional jump amplitude values, total evaluation parameters of the times of occurrence of each jump amplitude value, temperature change rate and the like in a waveform, and is a result obtained by comprehensively judging according to the parameters according to a preset algorithm model. For example, the following algorithmic model may be calculated:
the temperature rise system belongs to an inertia system, real temperature curve data of the train axle box is a gradual change process, and the change rate of normal temperature is generally less than or equal to 3 ℃ per second.
Buffer for a certain time t1(can be adjusted according to actual requirements, in this example, 120 seconds) and comprehensively judges according to the rising and falling change times f of the waveform of the period of time, the unidirectional jump amplitude R, the total evaluation parameter S of the times of occurrence of each jump amplitude and the temperature change rate I to obtain the waveform jump degree parameter waveform jump index A.
The parameters are defined as follows:
number of rising and falling changes f: at t1The number of transitions in the ascending or descending direction of the curve in the time period (the ascending or descending direction transition is calculated to satisfy the condition that the difference between the highest point and the lowest point is more than or equal to 2 ℃).
Unidirectional jump amplitude R: taking t based on the rising and falling defined in f calculation as standard1The smaller of the maximum rising amplitude and the maximum falling amplitude of the curve in the time period is the R value.
And the total evaluation parameter S of the occurrence times of each jump amplitude is as follows: t is t1The difference between the temperature and the previous second and the corresponding occurrence times of the difference in the time period according to the formula S-k1*2*2+k2*3*3+k34 x 4 calculation to obtain the evaluation parameter, k1、k2、k3Respectively, the coefficients for each second jump at 2 deg.C, 3 deg.C, 4 deg.C, where k1、k2、k3And adjusting according to the vehicle design and the change requirement of the R value.
Temperature change rate I: i-0 when | Δ (t) - Δ (t-1) | < 4 ℃, otherwise I-1.
In order to avoid misjudgment caused by jump caused by interference, the judgment of the A by the I lasts for 70s, and the judgment is carried out again after 70 s.
If I is 1 for 70 consecutive seconds, a is 1; the curve is considered abnormal.
(xii) if f > 8, S > 15 and R > 3, then a is 1; namely: for a curve with a large fluctuation frequency, if the fluctuation amplitude reaches 3 ℃, the curve is considered to be abnormal as long as 1 jump value reaches 4 ℃, or 2 jump values reach 3 ℃, or 1 jump value reaches 2 ℃.
③ if f is more than 3, S is more than or equal to 10 and R is more than or equal to 6, then A is 1; namely: for the curve with small fluctuation frequency, if the fluctuation amplitude reaches 6 ℃, the curve is considered to be abnormal as long as 2 jump values reach 3 ℃, or 1 jump value reaches 2 ℃ and 1 jump value reaches 3 ℃, or 3 jump values reach 2 ℃.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
On the basis of the foregoing embodiment, further before calculating the waveform transition index according to the target waveform curve, the method further includes:
and generating the target waveform curve according to the temperature data of the train axle box acquired by the temperature acquisition device.
Specifically, before the waveform jump index is calculated through the target waveform curve, the temperature data of the axle box of the train, which is acquired by the temperature acquisition device, needs to be processed, and the target waveform curve is generated according to the temperature data of the axle box of the train, which is acquired by the temperature acquisition device.
The temperature acquisition device, for example, a temperature sensor disposed in a train axle box, generally has a large sampling rate when acquiring a train axle box temperature, for example, sampling 100 times per second, while the temperature rise system belongs to an inertial system, real train axle box temperature curve data is a gradual change process, a change rate of a normal temperature is generally less than or equal to 3 degrees celsius/second, in order to avoid a large calculation amount, when generating a temperature waveform curve for 120 seconds, first, the temperature data acquired within the 120 seconds is processed, after the processing, a temperature value is generated per second, a temperature value corresponding to a current second may be set as an average value of a plurality of temperature values acquired within the second, for example, sampling 100 times per second, and a temperature value corresponding to a current second is an average value of 100 temperature values acquired within the second.
And after the data are processed, generating a target waveform curve according to the processed temperature data of the train axle box.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
On the basis of the above embodiments, further, according to a target waveform curve and the waveform transition index, sending a monitoring result to the train control system specifically includes:
if the value of the waveform jump index is judged to be 1, sending a first monitoring result to the train control system, wherein the value of the waveform jump index is 1, which indicates that the waveform jump degree of the target waveform curve is large and the waveform state is abnormal, and the first monitoring result indicates that the temperature acquisition device of the target axle box has a fault;
if the value of the waveform jump index is judged and obtained to be 0, calculating a waveform monotony index according to a target waveform curve, and sending a monitoring result to the train control system according to the waveform monotony index, wherein the value of the waveform jump index is 0, which indicates that the waveform jump degree of the target waveform curve is small and the waveform state is normal, and the waveform monotony index is used for indicating the monotonicity of the target waveform curve.
Specifically, fig. 2 is a schematic logic flow diagram of a train axle box temperature alarm processing provided by an embodiment of the present invention, and as shown in fig. 2, before an alarm result is output by comparing a target axle box temperature with a set alarm threshold, a waveform state of a target waveform curve is measured according to a waveform transition index a.
And if the value of the waveform jump index A is 1, sending a first monitoring result to the train control system, wherein the value of the waveform jump index is 1, the first monitoring result indicates that the waveform jump degree of a target waveform curve is large and the waveform state is abnormal, and the first monitoring result indicates that the temperature acquisition device of the target axle box breaks down. That is, when the situation that the temperature value jumps in the target waveform curve is detected, as long as the temperature value after jumping exceeds the preset early warning threshold, the information that the temperature acquisition device has a fault is sent to the train control system, and at this moment, false alarm cannot be generated due to the fact that the temperature value jumps and exceeds the preset early warning threshold.
And if the value of the waveform jump index A is 0, calculating a waveform monotony index B according to the target waveform curve, and sending a monitoring result to the train control system according to the waveform monotony index B. The value of the waveform jump index is 0, which indicates that the waveform jump degree of the target waveform curve is small and the waveform state is normal.
The waveform monotonicity index B is used to represent the monotonicity of the target waveform curve. The value of the waveform monotone index B is 1, which indicates that the target waveform curve monotonously rises. The value of the waveform monotonic index B is 0, indicating a target waveform curve fall back or level. The waveform monotony index B is related to part of temperature values in the waveform, and is a result obtained by comprehensively judging according to the part of temperature values and a preset algorithm model. For example, the following algorithmic model may be calculated:
the normal temperature rise curve basically has a continuous rising trend, if the temperature curve has a large amount of fall-back or level conditions, the unreal temperature rise slope early warning can be basically eliminated, and therefore, the waveform monotonicity index B is introduced to express the monotonicity of the target waveform curve.
Firstly, carrying out operation weighting pretreatment on temperature detection data, fitting a detected temperature curve into a smooth curve close to an original curve, avoiding report omission caused by temperature jitter falling back during normal temperature rise, and then selecting temperature data within a certain time for judging the rise of the temperature curve. The method specifically comprises the following steps:
(1) the actually collected temperature curves D (t) are integrated into a smooth curve d (t) close to the original curve, so that the report missing caused by the temperature jitter falling back when the temperature rises to normal temperature is avoided. The integrated curve d (t) is only used for calculating the counting value n in the step (2) and is not used for storing and participating in other calculations.
(2) Taking the temperature value of the first 50s for judging the temperature curve rise, and determining the judging method by simulating a large amount of fault data as follows: counting the times that d (t) is more than or equal to d (t-1) (the temperature does not drop after being smoothed in the temperature rise process, the unit of t is second), counting and clearing 0 if the temperature becomes smaller, and accumulating again to obtain a counting value n;
and simultaneously meeting the following 4 conditions: b is 1, otherwise b is 0:
phi n is more than or equal to 35, which shows that the overall trend of the curve is rising.
Sum (h (46-50)) > sum (h (41-45)), and the sum of the 46 th to 50 th temperature values is larger than the sum of the 41 th to 45 th temperature values, so that the temperature has to have an ascending trend at the final slope early warning reporting time.
(iii) sum (h (14-21)) > sum (h (1-8)), which means that the temperature of the rear section needs to be increased compared with the temperature of the front section in the temperature increasing process.
(h (46-50)) -sum (h (1-5))). 2 > 15, and shows that the temperature of the rear section needs to be increased compared with the temperature of the front section in the temperature increasing process.
If B is greater than 03 times in succession, the output B is equal to 1, otherwise B is equal to 0.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
On the basis of the foregoing embodiments, further, the sending a monitoring result to the train control system according to the waveform monotonic index specifically includes:
if the value of the waveform monotonic index is judged to be 1 and the target waveform curve meets any one of first preset conditions, sending a second monitoring result to the train control system;
wherein, the value of the waveform monotone index is 1, which represents that the target waveform curve is monotonously raised;
the first preset condition includes:
(1) the average temperature of the target axle box exceeds a first preset threshold;
(2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds a second preset threshold value;
(3) the rising rate of the target waveform curve exceeds a third preset threshold;
the second monitoring result is that the temperature of the target axle box is too high.
Specifically, as shown in fig. 2, if the value of the waveform monotone index is 1, which indicates that the target waveform curve monotonously rises, in this case, it is necessary to further determine whether the target waveform curve satisfies any one of the first preset conditions.
The first preset condition includes:
(1) the average temperature of the target axle box exceeds a first preset threshold value;
(2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds a second preset threshold value;
(3) the rising rate of the target waveform curve exceeds a third preset threshold.
The second monitoring result is that the temperature of the target axle box is too high.
The condition (1) indicates that the average temperature of the target axle box in a section of waveform curve of the preset time length exceeds a first preset threshold, and at this time, alarm information should be sent to the train control system to prompt a driver that the average temperature of the target axle box exceeds the first preset threshold.
The condition (2) indicates that, when a plurality of axle boxes are included in one monitoring system, if the maximum value of the difference between the average temperature of the target axle box and the average temperatures of the other axle boxes exceeds the second preset threshold, at this time, an alarm message should be sent to the train control system to prompt the driver that the maximum value of the difference between the average temperature of the target axle box and the average temperatures of the other axle boxes exceeds the second preset threshold.
The condition (3) indicates that although the temperature of the axle box does not exceed the preset alarm threshold, if the temperature rise rate of the axle box exceeds a third preset threshold, which is the upper limit of the normal temperature rise rate of the axle box, at this time, there is still a risk that the temperature of the axle box exceeds the preset alarm threshold, and it is still necessary to send alarm information to the train control system to prompt the driver that the rise rate of the target waveform curve exceeds the third preset threshold. The driver can conveniently adopt modes of speed reduction, parking and the like after receiving the alarm information, and accidents are avoided.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
On the basis of the foregoing embodiments, further, the sending a monitoring result to the train control system according to the waveform monotonic index further includes:
if the value of the waveform monotonic index is judged to be 0 and the target waveform curve meets any one of second preset conditions, sending a third monitoring result to the train control system;
wherein the value of the waveform monotonic exponent is 0, representing the target waveform curve fall back or level;
the second preset condition includes:
(1) the average temperature of the target axle box exceeds the first preset threshold;
(2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds the second preset threshold value;
the third monitoring result is that the temperature of the target axle box is too high.
Specifically, as shown in fig. 2, if the value of the waveform monotone index is 0, which indicates that the target waveform curve falls back or is horizontal, at this time, it is necessary to further determine whether the target waveform curve satisfies any one of the second preset conditions.
The second preset condition includes:
(1) the average temperature of the target axle box exceeds a first preset threshold value;
(2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of the other axle boxes exceeds a second preset threshold value.
The second monitoring result is that the temperature of the target axle box is too high.
The condition (1) indicates that the average temperature of the target axle box in a section of waveform curve of the preset time length exceeds a first preset threshold, and at this time, alarm information should be sent to the train control system to prompt a driver that the average temperature of the target axle box exceeds the first preset threshold.
The condition (2) indicates that, when a plurality of axle boxes are included in one monitoring system, if the maximum value of the difference between the average temperature of the target axle box and the average temperatures of the other axle boxes exceeds the second preset threshold, at this time, an alarm message should be sent to the train control system to prompt the driver that the maximum value of the difference between the average temperature of the target axle box and the average temperatures of the other axle boxes exceeds the second preset threshold. The driver can conveniently adopt modes of speed reduction, parking and the like after receiving the alarm information, and accidents are avoided.
In the case where the value of the waveform monotone index is 0, the target waveform curve is in a fall-back or horizontal state, and therefore, the rising rate of the target waveform curve is not considered any more.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
On the basis of the foregoing embodiments, further before the sending the second monitoring result to the train control system, the method further includes:
and calculating the average temperature of the target axle box according to the target waveform curve, wherein the average temperature of the target axle box is the average value of all temperature values in the target waveform curve.
Specifically, before the second monitoring result is sent to the train control system, the method further includes:
and calculating the average temperature of the target axle box according to the target waveform curve, wherein the average temperature of the target axle box is the average value of all temperature values in the target waveform curve. That is, the average temperature of the target axle box needs to be calculated from the target waveform curve before determining whether the average temperature of the target axle box exceeds the first preset threshold.
The average temperature of the target axle box is the average value of the temperature values in the target waveform curve. For example, a temperature profile of 120 seconds includes 120 temperature values, one second corresponds to one temperature value, and the average temperature of the target axle box is the average of the 120 temperature values.
Alternatively, the average temperature of the target axle box is an average value of the temperature values of the target waveform curve except for the maximum value and the minimum value.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
On the basis of the above embodiments, further, the third preset threshold is 3 degrees celsius/second.
Specifically, the temperature rise system belongs to an inertia system, real temperature curve data of the axle box of the train is a gradual change process, the change rate of normal temperature is generally less than or equal to 3 ℃ per second, namely, the upper limit of the normal temperature rise rate of the axle box is 3 ℃ per second. The third preset threshold is set as the upper limit of the normal temperature rise rate of the axle box.
According to the train axle box temperature monitoring method provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of the axle box, the gear box and the motor bearing in the running process of the high-speed motor train unit is solved, the false alarm probability of temperature detection is reduced, and the running efficiency of the motor train unit is improved.
Fig. 3 is a schematic view of a train axle box temperature monitoring device according to an embodiment of the present invention, and as shown in fig. 3, the embodiment of the present invention provides a train axle box temperature monitoring device for performing the method described in any one of the above embodiments, which specifically includes a calculating module 301 and an alarm module 302, where:
the calculating module 301 is configured to calculate a waveform transition index according to a target waveform curve, where the target waveform curve is a temperature waveform curve for a preset time period of a target axle box, and the waveform transition index is used to indicate a waveform transition degree of the target waveform curve; the alarm module 302 is configured to send a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
Specifically, first, the calculation module 301 calculates the waveform transition index according to the target waveform curve. The target waveform profile is a temperature waveform profile for a preset length of time for the target axle housing. The preset time length may be set according to an actual situation, for example, set to 120 seconds, the target waveform curve includes a plurality of temperature values, for example, one second corresponds to one temperature value, and a temperature waveform curve of one segment of 120 seconds includes 120 temperature values.
The waveform transition index is used to indicate the degree of waveform transition of the target waveform curve. In general, the change of the target waveform curve is relatively stable, the sudden jump of the temperature value cannot occur, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve. Under the condition that the waveform jump of a target waveform curve is serious, some temperature values are inaccurate due to faults of the temperature acquisition device, and the inaccurate temperature values can cause false alarm of the temperature.
Then, the alarm module 302 is used for sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
The value of the waveform jump index is 0 or 1, wherein the value of the waveform jump index is 0, which indicates that the waveform jump degree of the target waveform curve is small and the waveform state is normal, and the value of the waveform jump index is 1, which indicates that the waveform jump degree of the target waveform curve is large and the waveform state is abnormal.
And before the alarm result is output according to the comparison between the temperature of the target axle box and the set alarm threshold value, measuring the waveform state of the target waveform curve according to the waveform jump index, thereby avoiding the false alarm caused by abnormal waveform state of the target waveform curve due to temperature jump.
According to the train axle box temperature monitoring device provided by the embodiment of the invention, the software algorithm is optimized, the function of identifying and judging an abnormal temperature curve is added, the problem of false alarm caused by abnormal jump of temperature detection signals of an axle box, a gear box and a motor bearing in the running process of a high-speed motor train unit is solved, the temperature detection false alarm probability is reduced, and the running efficiency of the motor train unit is improved.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device includes: a processor (processor)401, a memory (memory)402, and a bus 403;
wherein, the processor 401 and the memory 402 complete the communication with each other through the bus 403;
calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
and sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Embodiments of the present invention provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, enable the computer to perform the methods provided by the above-mentioned method embodiments, for example, including:
calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
and sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
Embodiments of the present invention provide a non-transitory computer-readable storage medium, which stores computer instructions, where the computer instructions cause the computer to perform the methods provided by the above method embodiments, for example, the methods include:
calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
and sending a monitoring result to the train control system according to the target waveform curve and the waveform jump index.
The above-described embodiments of the apparatuses and devices are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A method for monitoring the temperature of a train axle box is characterized by comprising the following steps:
calculating a waveform jump index according to a target waveform curve, wherein the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform jump index is used for representing the waveform jump degree of the target waveform curve;
sending a monitoring result to a train control system according to a target waveform curve and the waveform hopping index;
if the value of the waveform jump index is judged to be 1, sending a first monitoring result to the train control system, wherein the value of the waveform jump index is 1, which indicates that the waveform jump degree of the target waveform curve is large and the waveform state is abnormal, and the first monitoring result indicates that the temperature acquisition device of the target axle box has a fault;
if the value of the waveform jump index is judged and obtained to be 0, calculating a waveform monotony index according to a target waveform curve, and sending a monitoring result to the train control system according to the waveform monotony index, wherein the value of the waveform jump index is 0, which indicates that the waveform jump degree of the target waveform curve is small and the waveform state is normal, and the waveform monotony index is used for indicating the monotonicity of the target waveform curve;
if the value of the waveform monotonic index is judged to be 1 and the target waveform curve meets any one of first preset conditions, sending a second monitoring result to the train control system, wherein the value of the waveform monotonic index is 1 and represents that the target waveform curve monotonically rises, and the first preset conditions comprise: (1) the average temperature of the target axle box exceeds a first preset threshold; (2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds a second preset threshold value; (3) the rising rate of the target waveform curve exceeds a third preset threshold; the second monitoring result is that the temperature of the target axle box is overhigh;
if the value of the waveform monotonic index is judged to be 0 and the target waveform curve meets any one of second preset conditions, sending a third monitoring result to the train control system, wherein the value of the waveform monotonic index is 0 and represents the fall back or level of the target waveform curve, and the second preset conditions comprise: (1) the average temperature of the target axle box exceeds the first preset threshold; (2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds the second preset threshold value; the third monitoring result is that the temperature of the target axle box is too high.
2. The method of claim 1, wherein prior to calculating the waveform transition index from the target waveform profile, further comprising:
and generating the target waveform curve according to the temperature data of the train axle box acquired by the temperature acquisition device.
3. The method of claim 1, wherein prior to sending the second monitoring result to the train control system, further comprising:
and calculating the average temperature of the target axle box according to the target waveform curve, wherein the average temperature of the target axle box is the average value of all temperature values in the target waveform curve.
4. The method according to claim 1, characterized in that said third preset threshold value is 3 degrees celsius/second.
5. A train axle box temperature monitoring device, characterized by includes:
the calculating module is used for calculating a waveform hopping index according to a target waveform curve, the target waveform curve is a temperature waveform curve aiming at a target axle box for a preset time length, and the waveform hopping index is used for representing the waveform hopping degree of the target waveform curve, wherein the waveform hopping index is obtained by caching temperature data of a preset time and comprehensively judging according to the rising and falling change times of the waveform of the time, unidirectional hopping amplitudes, the total evaluation parameters of the occurrence times of the hopping amplitudes and the temperature change rate;
the alarm module is used for sending a monitoring result to a train control system according to a target waveform curve and the waveform hopping index, wherein if the value of the waveform hopping index is judged to be 1, a first monitoring result is sent to the train control system, the value of the waveform hopping index is 1, the degree of waveform hopping of the target waveform curve is large, the waveform state is abnormal, and the first monitoring result indicates that a temperature acquisition device of the target axle box breaks down; if the value of the waveform jump index is judged and obtained to be 0, calculating a waveform monotony index according to a target waveform curve, and sending a monitoring result to the train control system according to the waveform monotony index, wherein the value of the waveform jump index is 0, which indicates that the waveform jump degree of the target waveform curve is small and the waveform state is normal, and the waveform monotony index is used for indicating the monotonicity of the target waveform curve; if the value of the waveform monotonic index is judged to be 1 and the target waveform curve meets any one of first preset conditions, sending a second monitoring result to the train control system, wherein the value of the waveform monotonic index is 1 and represents that the target waveform curve monotonically rises, and the first preset conditions comprise: (1) the average temperature of the target axle box exceeds a first preset threshold; (2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds a second preset threshold value; (3) the rising rate of the target waveform curve exceeds a third preset threshold; the second monitoring result is that the temperature of the target axle box is overhigh; if the value of the waveform monotonic index is judged to be 0 and the target waveform curve meets any one of second preset conditions, sending a third monitoring result to the train control system, wherein the value of the waveform monotonic index is 0 and represents the fall back or level of the target waveform curve, and the second preset conditions comprise: (1) the average temperature of the target axle box exceeds the first preset threshold; (2) the maximum value of the difference between the average temperature of the target axle box and the average temperatures of other axle boxes exceeds the second preset threshold value; the third monitoring result is that the temperature of the target axle box is too high.
6. An electronic device, comprising:
the processor and the memory are communicated with each other through a bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 4.
7. A non-transitory computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the method of any one of claims 1 to 4.
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| CN111521421B (en) * | 2020-04-30 | 2022-06-21 | 佳讯飞鸿（北京）智能科技研究院有限公司 | Freight train axle state monitoring and early warning system and method |
| CN111897266B (en) * | 2020-08-06 | 2021-03-23 | 宁波智明芯电子科技有限公司 | Low-power consumption intelligent boiler controller and boiler thereof |
| CN112026845B (en) * | 2020-09-02 | 2022-01-28 | 中车青岛四方机车车辆股份有限公司 | Train temperature monitoring method and device, train, electronic equipment and medium |
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