CN113945290B - Temperature alarm method, device and medium - Google Patents
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Abstract
The application discloses a temperature alarm method, when current temperature data exceeds an alarm threshold value, alarm evaluation is carried out on the temperature data acquired before the current temperature data is acquired based on time dimension, and whether an alarm is given or not is confirmed according to the result of the alarm evaluation. Compared with the prior art, the temperature data exceeds the alarm threshold value, the alarm is given out, and by adopting the technical scheme, the temperature data acquired before the current temperature data is acquired is subjected to alarm evaluation, the plurality of temperature data are judged based on the time dimension, the alarm is given out when the alarm condition is met, the alarm accuracy is improved, and the false alarm condition is reduced. The application also discloses a temperature alarm device and a medium, which correspond to the temperature alarm method and have the same effects.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a temperature alarm method, device, and medium.
Background
The bearings are used as main components of the locomotive, and the health state of the bearings directly influences the safe running of the train. When the bearing is seriously failed, a sharp temperature rise phenomenon is inevitably generated, so that the temperature of the bearing of the train is necessary to be detected and is used as the last defense line for ensuring the safe operation of the locomotive.
The current technology is to set a temperature sensor near a bearing carrying area, and alarm when judging that the acquired temperature data exceeds a preset alarm threshold value. However, the sensor may be affected by voltage or current, which causes an error between the collected temperature data and the actual temperature data, and if the alarm process is judged only according to the temperature data at the current time, a false alarm is caused.
It follows that how to reduce the false alarm situation when detecting the temperature of the bearing is a problem to be solved by the person skilled in the art.
Disclosure of Invention
The application aims to provide a temperature alarm method, a temperature alarm device and a medium.
In order to solve the above technical problems, the present application provides a temperature alarm method for reducing false alarm conditions when detecting a temperature of a bearing, the method including:
acquiring current temperature data;
judging whether the current temperature data exceeds an alarm threshold value or not;
if so, based on the time dimension, carrying out alarm evaluation on a plurality of continuous temperature data acquired before the current temperature data is acquired, and judging whether the plurality of continuous temperature data are in temperature monotonicity change or not;
And confirming whether the alarm is given according to the alarm evaluation result.
Preferably, said determining whether said continuous plurality of said temperature data is monotonically varying includes:
judging whether the absolute value of the difference value between each temperature data and the last temperature data acquired last time is smaller than a fluctuation value or not in a plurality of continuous temperature data, if so, recording the temperature data as the last temperature data, and if not, keeping the temperature data unchanged;
judging whether the different obtained temperature data are in temperature monotonicity change or not;
if so, determining that the continuous plurality of temperature data change in a temperature monotonicity mode, otherwise, determining that the continuous plurality of temperature data do not change in a temperature monotonicity mode.
Preferably, if the abnormal temperature data does not occur in the temperature data acquired before the current temperature data is acquired, the alarm evaluation on the continuous plurality of temperature data acquired before the current temperature data is acquired includes:
judging whether the latest reliable temperature data acquired before the current temperature data are acquired has continuous BN1 temperature monotonous change to temperature monotonous rise, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm; and/or
Judging whether the latest reliable temperature data obtained before the current temperature data is obtained has continuous BN2 temperature monotonic changes and exceeds the alarm threshold value, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm.
Preferably, if the temperature data acquired before the current temperature data is acquired has abnormal temperature data and is a specific temperature value of the sensor, the alarm evaluation on the continuous plurality of temperature data acquired before the current temperature data is acquired includes:
judging whether the latest reliable temperature data obtained before the current temperature data is obtained has continuous BN3 temperature monotonicity changes and exceeds the alarm threshold value, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm.
Preferably, if abnormal temperature data occurs in the temperature data acquired before the current temperature data is acquired, and the unevenness is a specific temperature value of the sensor, the alarm evaluation of the continuous plurality of temperature data acquired before the current temperature data is acquired includes:
Judging whether the latest reliable temperature data obtained before the current temperature data is obtained has continuous BN4 temperature monotonicity changes and exceeds the alarm threshold value, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm.
Preferably, the temperature monotonic change includes: the temperature rises monotonically, or the temperature drops monotonically, or the temperature rises first and then drops.
Preferably, before the determining whether the current temperature data exceeds the alarm threshold value, the method further includes:
performing confidence evaluation on the current temperature data;
if the current temperature data is evaluated to be credible, the step of judging whether the current temperature data exceeds an alarm threshold value is carried out.
Preferably, if the current temperature data is evaluated as not trusted, further comprising:
and replacing the current temperature data with normal temperature data.
Preferably, the replacing the current temperature data with normal temperature data includes:
judging whether the temperature data of the same measuring point positions of other shafts are normal temperature data or not when the current temperature data are acquired;
if not, the last normal temperature data acquired last time at the current measuring point position of the shaft is called to replace the current temperature data;
If so, calculating a difference value of normal temperature data obtained at the same moment when the current measuring point position of the shaft and the same measuring point position of the other shafts are nearest, and adding the difference value to the temperature data at the same measuring point position of the other shafts to replace the current temperature data.
Preferably, the confidence evaluation of the current temperature data includes:
judging whether N1 pieces of temperature data acquired before the current temperature data are all normal temperature data, wherein the absolute temperature rise rate of each piece of temperature data and the previous normal temperature data is not greater than a threshold value, if so, confirming that the current temperature data are credible, and if not, repeating the step until the current temperature data are credible;
or judging whether N2 pieces of temperature data acquired before the current temperature data are all normal temperature data, wherein the absolute temperature rise rate of each piece of temperature data and the previous normal temperature data is not larger than the threshold value and is in a monotonically rising or monotonically descending trend, if so, confirming that the current temperature data are credible, and if not, repeating the step until the current temperature data are confirmed to be credible.
For solving above-mentioned technical problem, this application still provides a temperature alarm device, and the device includes:
the acquisition module is used for acquiring current temperature data;
the judging module is used for judging whether the current temperature data exceeds an alarm threshold value, and if so, triggering an alarm evaluation module;
the alarm evaluation module is used for performing alarm evaluation on temperature data acquired before acquiring current temperature data based on a time dimension and judging whether the continuous temperature data are in temperature monotonicity change or not;
and the alarm module is used for confirming whether an alarm is given according to the alarm evaluation result obtained by the alarm evaluation module.
In order to solve the technical problem, the application also provides another temperature alarm device, which comprises a memory for storing a computer program;
and a processor for implementing the steps of the temperature alarm method as described above when executing the computer program.
To solve the above technical problem, the present application further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the temperature alarm method as described above.
According to the temperature alarm method, when the current temperature data exceeds the alarm threshold value, alarm evaluation is conducted on the temperature data acquired before the current temperature data is acquired based on the time dimension, and whether an alarm is given or not is confirmed according to the alarm evaluation result. Compared with the prior art, the temperature data exceeds the alarm threshold value, the alarm is given out, and by adopting the technical scheme, the temperature data acquired before the current temperature data is acquired is subjected to alarm evaluation, the plurality of temperature data are judged based on the time dimension, the alarm is given out when the alarm condition is met, the alarm accuracy is improved, and the false alarm condition is reduced.
In addition, the temperature alarm device and the medium provided by the application correspond to the temperature alarm method, and the effects are the same.
Drawings
For a clearer description of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described, it being apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a temperature alarm method according to an embodiment of the present application;
FIG. 2 is a flow chart of another temperature alarm method according to an embodiment of the present application;
FIG. 3 is a flow chart of another temperature alarm method according to an embodiment of the present application;
FIG. 4 is a flowchart of another temperature alarm method according to an embodiment of the present application;
FIG. 5 is a block diagram of a temperature alarm apparatus according to an embodiment of the present application;
fig. 6 is a block diagram of another temperature alarm apparatus according to an embodiment of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments herein without making any inventive effort are intended to fall within the scope of the present application.
Bearings are an important component in contemporary mechanical devices. Its main function is to support the mechanical rotator, reduce its friction coefficient in the course of motion and ensure its rotation accuracy. The bearings on the locomotive comprise various shaft box bearings, traction motor bearings, transmission system bearings, power device bearings, cooling system bearings and the like, and the bearings are used as main parts of the locomotive, and the health state of the bearings directly influences the safe operation of the train. When the bearing fails, the temperature will rise sharply, so it is necessary to detect the temperature of the bearing of the locomotive and to act as the last line of defense to ensure the safe operation of the locomotive.
The current technology is to set a temperature sensor at the bearing, and when the collected temperature data is judged to be the temperature data exceeding the threshold value, the temperature data is regarded as fault data, and an alarm is sent. The method has the defects that the temperature sensor is influenced by voltage or current, so that the temperature data output by the sensor is deviated from the actual temperature data, abnormal temperature data is output, if the abnormal temperature data is directly adopted to enter a subsequent alarm judgment flow, the abnormal temperature data is mistakenly regarded as fault temperature data, and an alarm is further sent out. However, the actual temperature data at this time is normal temperature data, which causes a false alarm.
The core of the application is to provide a temperature alarm method, a device and a medium, which are used for reducing false alarm conditions when the temperature of a bearing is detected.
The core of the application is to provide a temperature alarm method, a device and a medium.
In order to provide a better understanding of the present application, those skilled in the art will now make further details of the present application with reference to the drawings and detailed description.
Fig. 1 is a flowchart of a temperature alarm method provided in an embodiment of the present application, as shown in fig. 1, where the method includes:
S10: and acquiring current temperature data.
In step S10, the processor receives current temperature data collected at the current time sent by the sensor at each bearing. The current temperature data may be abnormal temperature data which is acquired when the sensor is interfered and is inconsistent with the actual temperature data, or may be actual temperature data at the bearing. The actual temperature data at the bearing may be fault temperature data when the bearing fails, or may be good temperature data without warning. It can be understood that the temperature difference of the bearings at different positions is larger due to the difference of the rotating speed, the bearing and the ventilation effect. Bearings of the same function, if located differently, also differ significantly in temperature. Bearings at the same position of the same bogie have substantially the same temperature. The bearings in the same location for different bogies should also be at substantially the same temperature.
S11: and judging whether the current temperature data exceeds an alarm threshold value, if so, entering step S12.
In step S11, different alarm threshold values are set for different types of bearings according to actual conditions, and of course, due to the fact that in the specific implementation, the current temperature data has fluctuation, the alarm threshold value should be the temperature reached when the bearing fails, but not reached when the bearing works normally. And under the condition that the current temperature data exceeds the alarm threshold value, representing that the bearing has faults or the working condition has abnormality.
S12: based on the time dimension, alarming evaluation is carried out on a plurality of continuous temperature data acquired before the current temperature data is acquired, and whether the plurality of continuous temperature data are in temperature monotonicity change is judged.
In step S12, when the current temperature data exceeds the alarm threshold, based on the time dimension, it is further determined whether the current temperature data needs to be alarmed by the historical temperature data. The historical temperature data is a plurality of continuous temperature data acquired before the current temperature data is acquired, and it can be understood that, in order to ensure the accuracy of alarm evaluation, the plurality of continuous temperature data should be the temperature data acquired nearest to the current temperature data. The monotonic change in temperature may be a change in which a plurality of temperature data exhibit a monotonic increase in temperature or a monotonic decrease in temperature, or a change in which a part of the temperature data exhibit a monotonic increase in temperature or a monotonic decrease in temperature, that is, a change in which a plurality of temperature data exhibit a monotonic change in temperature, or the like.
S13: and confirming whether the alarm is given according to the alarm evaluation result.
And confirming whether to alarm according to the alarm evaluation result, namely the judging result. The alarm can be a continuous action, for example, the processor is connected with the alarm, when the alarm is confirmed, the processor controls the alarm to flash and sound, and when an operator manually turns off the alarm or the current temperature data is restored to be normal again, the alarm is stopped when the alarm evaluation result is that the alarm is not needed. Of course, the alarm can also be a timely action, and when the alarm is confirmed, the processor sends words, audio, animation and other forms to the man-machine interaction equipment, such as a display, so as to prompt the operator that the bearing fails.
According to the temperature alarm method, when the current temperature data exceeds the alarm threshold value, alarm evaluation is conducted on the temperature data acquired before the current temperature data is acquired based on the time dimension, and whether an alarm is given or not is confirmed according to the result of the alarm evaluation. Compared with the prior art, the temperature data exceeds the alarm threshold value, the alarm is given out, and by adopting the technical scheme, the temperature data acquired before the current temperature data is acquired is subjected to alarm evaluation, the plurality of temperature data are judged based on the time dimension, the alarm is given out when the alarm condition is met, the alarm accuracy is improved, and the false alarm condition is reduced.
In the prior art, when judging whether the temperature data is in a monotonic change or not, when the value obtained by subtracting the temperature data at the last time acquired recently from the current temperature data is positive, the monotonic change of the temperatures of the two temperature data is considered to be monotonic increase, and when the value is negative, the monotonic change of the temperatures is considered to be monotonic decrease. However, in the specific implementation, the actual temperature data at the bearing may change in a certain range, and if the method of determining the temperature monotonicity change in the current technology is strictly followed, the temperature monotonicity change of a plurality of continuous temperature data cannot be determined.
On the basis of the above embodiment, in the present embodiment, determining whether the continuous plurality of temperature data changes monotonically or not includes:
judging whether the absolute value of the difference value between each temperature data and the last temperature data acquired last time is smaller than a fluctuation value or not in the continuous plurality of temperature data, if so, recording the temperature data as the last temperature data, and if not, keeping the temperature data unchanged;
judging whether the finally obtained different temperature data are subjected to temperature monotonicity change or not;
if so, determining that the continuous plurality of temperature data change in a temperature monotonicity mode, otherwise, determining that the continuous plurality of temperature data do not change in a temperature monotonicity mode.
In this embodiment, the fluctuation value is a normal fluctuation range between every two temperature data collected by the sensor. In specific implementation, the device can be set according to the material of the bearing, the external temperature, the error of the sensor and other factors. For example, the fluctuation value is 0.2 ℃, the number of the acquired temperature data is 8, the actually acquired temperature data is shown in a first row of a table, and the recorded value of the temperature data is obtained when the temperature monotonicity change judgment is carried out in a second row. The difference between the second temperature data and the first temperature data is 0.1 ℃ and is smaller than the fluctuation value, and the recorded value of the second temperature data is 59 ℃ when the temperature monotonically changes. Similarly, the actual value of the fourth temperature data is 58.9 ℃, while the actual value of the third temperature data is 59.2 ℃ and the difference is larger than the fluctuation value, the recorded value of the third temperature data when the temperature monotonicity change judgment is performed is 59 ℃ and the actual value of the fourth temperature data is 0.1 ℃, so the fourth temperature data is also recorded as 59 ℃ when the temperature monotonicity change judgment is performed. The actual value of the fifth temperature data is different from the recorded value of the fourth temperature data by 0.3 c, and therefore, the actual value of 59.3 c is recorded as a new recorded value, and compared with the next temperature data. Finally, if the temperature data involved in the judgment of whether the temperature data is changed in a monotonic manner is 59 ℃, 59.3 ℃, 59.6 ℃, and the temperature is known to rise monotonically, a plurality of continuous temperature data are determined to be changed in a monotonic manner.
| 59℃ | 59.1℃ | 59.2℃ | 58.9℃ | 59.3℃ | 59.4℃ | 59.5℃ | 59.6℃ |
| 59℃ | 59℃ | 59℃ | 59℃ | 59.3℃ | 59.3℃ | 59.3℃ | 59.6℃ |
It will be appreciated that if abnormal temperature data is present in the acquired continuous plurality of temperature data, setting of the fluctuation value too large may result in taking the abnormal temperature data as a recorded value, entering the judgment flow, and causing inaccuracy in judgment, and therefore, in the implementation, if abnormal temperature data is present in the acquired continuous plurality of temperature data, the fluctuation value may be set to be smaller than when abnormal temperature data is not present.
According to the temperature alarm method, when judging whether the continuous plurality of temperature data are in temperature monotonicity change, two adjacent temperature data in the fluctuation value range are unified into one temperature data, and then whether different finally obtained temperature data are in temperature monotonicity change is judged, so that the problem that judgment cannot be carried out due to fluctuation of the temperature data in the error range in specific implementation is avoided, and execution of the steps of the temperature alarm method is guaranteed.
In a specific implementation, the sensor is interfered or the acquired temperature data is abnormal temperature data due to the influence of the production process of the sensor, and the acquired temperature data is not consistent with the actual temperature data, and if a plurality of continuous temperature data contains abnormal temperature data, the alarm evaluation of the plurality of temperature data is inaccurate.
Fig. 2 is a flowchart of another temperature alarm method according to an embodiment of the present application, as shown in fig. 2, before performing alarm evaluation on a plurality of temperature data, further including:
s110: judging whether abnormal temperature data appear in the temperature data acquired before the current temperature data are acquired, and if not, proceeding to step S12. Step S12 includes S120 and/or S121.
In step S110, in order to ensure the accuracy of the alarm evaluation, the influence of the abnormal temperature data, which does not match the actual temperature data, on the result of the alarm evaluation is avoided. The embodiment also provides a method for judging abnormal temperature data, which comprises the following steps:
judging whether the current temperature data exceeds the temperature measuring range of the sensor, if so, confirming that the current temperature data is abnormal temperature data;
and/or judging whether the current temperature data is a special temperature value of the sensor, if so, confirming that the current temperature data is abnormal temperature data;
and/or judging whether the absolute temperature rise rate of the current temperature data and the last normal temperature data acquired before the current temperature data is larger than a second threshold value, if so, confirming that the current temperature data is abnormal temperature data.
When the continuous plurality of temperature data collected by the sensor are all the maximum range values of the sensor, the temperature data may be considered to be out of the temperature measurement range of the sensor, and the temperature data cannot reflect the actual situation and is confirmed as abnormal temperature data. If the current temperature data is a special temperature value of the sensor, when the actual temperature reaches a certain value, the temperature data output by the sensor at the moment is a special temperature value, and is not in accordance with the actual temperature data, the actual temperature data cannot be reflected, and the current temperature data can be confirmed to be abnormal temperature data. If the absolute temperature rise rate of the current temperature data and the last normal temperature data acquired before the current temperature data is larger, the temperature is suddenly changed. The second threshold is set according to different implementation scenarios, and even if the bearing fails, the absolute temperature rise rate should not be greater than the second threshold. And if the absolute temperature rise rate exceeds the second threshold, the current temperature data is considered to be abnormal temperature data and is not in accordance with the actual temperature data. When judging the current temperature data, the current temperature data can be confirmed to be abnormal temperature data by meeting any one condition, and of course, two or three conditions can be met simultaneously to confirm that the current temperature data is abnormal temperature data. It can be understood that, compared with judging whether the absolute temperature rise rate is greater than the second threshold value, whether the current temperature data exceeds the temperature measuring range of the sensor and whether the current temperature data is a special temperature value of the sensor is judged, and excessive calculation amount is not needed.
S120: judging whether the temperature monotonous change of the continuous BN1 temperature data of the latest trusted temperature data acquired before the current temperature data is acquired is changed into temperature monotonous rise; if yes, enter step S13, alarm evaluation result is alarm, if not, repeat this step until enter step S13.
In this step S120, the continuous plurality of temperature data is the most recent reliable temperature data. In a specific implementation, when the current temperature data is acquired, the trusted attribute of the current temperature data is defined as trusted or untrusted, and if the current temperature data is abnormal temperature data, the trusted attribute is defined as untrusted. In step S120, if the abnormal temperature data does not occur in the temperature data acquired before the current temperature data is acquired, it indicates that the sensor is not disturbed before the current temperature data is acquired. If the temperature of the continuous BN1 temperature data rises monotonously, the current temperature data exceeds an alarm threshold value, the temperature change is indicated to be caused by the fact that the bearing fails to cause the temperature to rise, and therefore the alarm is confirmed. Because the temperature data is continuously updated, the judging step is also continuously performed, the BN1 temperature data is also continuously updated, and the alarm is confirmed when the newly acquired current temperature data meets the judging condition. In this embodiment, whether to alarm is determined by judging the monotonic change of the temperature of BN1 temperature data, if the sensor is not interfered before acquiring the current temperature data, the current temperature data exceeds the alarm threshold, so that in order to ensure the accuracy of alarm, a sufficient number of temperature data should be judged.
S121: judging whether the latest reliable temperature data acquired before the current temperature data is acquired has continuous BN2 temperature data which change in temperature monotonicity and exceed an alarm threshold value, if so, entering a step S13, and if not, repeating the step until entering the step S13.
In step S121, the change of BN2 temperature data in temperature monotonicity may be a monotonic increase, or a monotonic decrease, or a fluctuation may occur, and if the continuous BN2 temperature data in temperature monotonicity changes and exceeds the alarm threshold value, it indicates that the bearing has failed.
It will be appreciated that in step S120, it is determined whether the temperature rises monotonically, and the alarm is given when the current temperature data exceeds the alarm threshold value, and the alarm can be given immediately when the bearing fails. In step S121, it is necessary to determine whether all BN2 temperature data have exceeded the alarm threshold value, which is slightly slower than the alarm time of S120. However, since the judgment method of S121 is more severely limited than the judgment method of S120, BN2 may be smaller than BN1.
It should be noted that, the current temperature data only needs to satisfy one of the judging methods in step S120 and step S121, and can be alarmed. Of course, the current temperature data can also meet the two judging methods at the same time to alarm. Compared with the method only requiring one judgment method, the method has the advantages that the alarm evaluation of the current temperature data obtained by the two judgment methods is more accurate, but the calculation pressure of the processor is increased. In the case that the current temperature data needs to satisfy the two judging methods, the step S120 and the step S121 are not sequentially executed, and the step S120 may be executed first, or the step S121 may be executed first, or of course, the required BN1 and BN2 temperature data may be partially repeated or may be completely different.
According to the temperature alarm method, based on the time dimension, the current temperature data is subjected to alarm evaluation by using the historical trusted temperature data, so that the accuracy of alarm evaluation is ensured.
As shown in fig. 2, if abnormal temperature data has occurred in the temperature data acquired before the current temperature data is acquired, the process proceeds to step S122.
S122: and judging whether the abnormal temperature data are special temperature values of the sensor, and if so, proceeding to step S12. Step S12 is S123.
In step S122, if the temperature data acquired before the current temperature data is acquired has abnormal temperature data, the abnormal temperature data is a specific temperature value of the sensor itself, which indicates that the sensor itself has a problem.
S123: judging whether the latest reliable temperature data acquired before the current temperature data are acquired has continuous BN3 temperature data which change in temperature monotonicity and exceed an alarm threshold value, if so, entering a step S13, and if not, repeating the step until entering the step S13.
In step S123, if the temperature data acquired before the current temperature data is acquired has abnormal temperature data, the abnormal temperature data may be one or more. Specifically, if the temperature data are the special temperature values of the sensor, it means that if one or more abnormal temperature data are the special temperature values of the sensor, the problem of the sensor is represented, and by judging whether the temperature data exceed the alarm threshold value, the temperature data relatively less than the BN1 can be judged. In order to accurately determine whether the current temperature data is fault temperature data or a special temperature value of the sensor itself, it is possible to determine that more temperature data relative to BN2, that is, BN3 is greater than BN2.
According to the temperature alarm method, based on the time dimension, alarm evaluation is carried out on the current temperature data, and the alarm accuracy is further improved. Meanwhile, compared with the above embodiment, if the temperature data acquired before the current temperature data is acquired has abnormal temperature data, and the abnormal temperature data are all special temperature values of the sensor, the judged temperature data may be less than BN 1.
As shown in fig. 2, if abnormal temperature data has occurred in the temperature data acquired before the current temperature data is acquired and the unevenness is a specific temperature value of the sensor itself, the process proceeds to step S12. Step S12 is S124.
S124: judging whether the latest reliable temperature data acquired before the current temperature data is acquired has continuous BN4 temperature data which change in temperature monotonicity and exceed an alarm threshold value, if so, entering a step S13, and if not, repeating the step until entering the step S13.
In step S124, if one or more abnormal temperature data are not uniform, it means that the sensor is interfered by voltage or current, so that it is necessary to determine more temperature data than BN3 to distinguish whether the current temperature data are interfered.
In this embodiment, if no abnormal temperature data is generated in the temperature data acquired before the current temperature data is acquired, and if the current temperature data exceeds the alarm threshold value, more temperature data needs to be determined to identify whether the current temperature data is caused by interference of the sensor. If abnormal temperature data is generated, the sensor is disturbed, so that the number of the required temperature data can be smaller than that of the sensor in order to avoid that the abnormal temperature data cannot be obtained to influence the judgment flow of the alarm. Specifically, BN1 is greater than BN4. When the sensor is affected by voltage or current, etc., the acquired temperature data fluctuates, resulting in that a plurality of temperature data are not in agreement with the actual ones. The special temperature value of the sensor is displayed as the special temperature value because the current temperature data reaches a certain value. It will be appreciated that the sensor is affected by more inaccurate temperature data than the sensor's own specific temperature value, and therefore BN4 should be greater than BN3.
According to the temperature alarm method, the alarm evaluation is carried out on the current temperature data based on the time dimension, and the accuracy of the alarm evaluation is improved. Under the condition that the current temperature data exceeds a preset alarm threshold value, further judging the current temperature data, and avoiding the condition that the acquired data is inconsistent with the actual data and false alarm is caused by the fact that the sensor is interfered.
It can be understood that, in the above embodiment, when the current temperature data is subjected to alarm evaluation through a plurality of historical data, the alarm is given when the current temperature data meets the alarm evaluation, and with the update of the temperature data, if the fault is cleared, the temperature data returns to normal, and when the current temperature data does not meet the alarm evaluation, if the alarm is a continuous action, the alarm can be ended at this time. On the basis of the above embodiment, in the present embodiment, BN1 is larger than BN4, BN4 is larger than BN3, and BN3 is larger than BN2.
According to the temperature alarm method, historical temperature data with different numbers are selected according to different conditions, under the condition that the accuracy of alarm evaluation is guaranteed, the calculated amount of a processor is reduced, and the alarm efficiency is improved.
In the above embodiment, the temperature monotonic change of the temperature data is not limited, and in the present embodiment, the temperature monotonic change includes: the temperature rises monotonically, or the temperature drops monotonically, or the temperature rises first and then drops.
It will be appreciated that when the bearing fails, the temperature may gradually drop due to external environmental influences. In contrast to the prior art, only the temperature monotonic change is judged to be changed into the temperature monotonic rising or the temperature monotonic falling, and the temperature monotonic change further comprises the temperature rising and then the temperature falling, so that the alarm can be given even if the temperature is reduced after the bearing fails, and the alarm leakage condition is avoided.
In the above embodiment, the historical temperature data needs to be judged to confirm whether the current temperature data needs to be alarmed. In specific implementation, if the current temperature data is not consistent with the actual temperature data and is unreliable when the current temperature data is acquired, the current temperature data does not need to enter a subsequent judgment step, and false alarm is avoided. However, due to the method for determining abnormal temperature data in the above embodiment, the processor may misuse the abnormal temperature data collected by the sensor when it is disturbed as the abnormal temperature data, thereby giving an alarm, or misuse the abnormal temperature data as the abnormal temperature data, which is considered as unreliable temperature data, thereby causing a situation of missing an alarm.
Therefore, on the basis of the above embodiment, fig. 3 is a flowchart of another temperature alarm method provided in the embodiment of the present application, as shown in fig. 3, in this embodiment, before determining whether the current temperature data exceeds the alarm threshold value, the method further includes:
s100: and carrying out confidence evaluation on the current temperature data, judging whether the current temperature data is credible, and if the current temperature data is evaluated to be credible, proceeding to step S11.
In step S100, the confidence evaluation of the current temperature data may be based on the time dimension, and whether the current temperature data is trusted is determined by the trusted attribute of the historical temperature data. Of course, the temperature data may be determined by determining a trend of change in the temperature data.
According to the temperature alarm method, the confidence evaluation is carried out on the current temperature data, whether the current temperature data are reliable or not is judged, a subsequent judgment step is carried out when the current temperature data are reliable, and the situations of false alarm and missing alarm are reduced.
In a specific implementation, the processor usually draws the temperature data into a graph after acquiring the temperature data and sends the graph to the man-machine interaction device, so that an operator can know the temperature of the bearing and follow-up tracing. When the temperature data is not the credible temperature data, manual investigation is often needed to ensure the safety of the locomotive. And under the condition that an operator cannot view the curve graph in time, when the temperature data at a certain moment before viewing is unreliable, the operator still needs to check and confirm.
As shown in fig. 3, on the basis of the above embodiment, in this embodiment, if the current temperature data is evaluated as being unreliable, further includes:
S101: and replacing the current temperature data with normal temperature data.
According to the temperature alarm method, the current temperature data are replaced by the normal temperature data, so that operators can be prevented from repeatedly checking unreliable temperature data during tracing, and manpower and material resources are wasted. Meanwhile, when a temperature change curve graph is drawn, the unreliable current temperature data is replaced by normal temperature data, so that the drawn curve is smoother, and the temperature change trend of the bearing is more easily checked.
On the basis of the above embodiment, the present embodiment provides a specific method for replacing current temperature data with normal temperature data, where the method includes:
judging whether the temperature data of the same measuring point positions of other shafts are normal temperature data or not when the current temperature data are acquired;
if not, the last normal temperature data acquired last time at the current measuring point position of the shaft is called to replace the current temperature data;
if so, calculating the difference value of the normal temperature data obtained at the same time when the current measuring point position of the shaft and the same measuring point position of other shafts are identical, and adding the difference value to the temperature data at the same measuring point position of other shafts to replace the current temperature data.
It should be noted that, in this embodiment, the same position of the other axis with the same measuring point should be a bearing that plays the same role as the current measuring point of the axis, and in a specific implementation, the temperature data of the same position of the current measuring point of the axis and the same position of the other axis with the same measuring point should be substantially the same within a certain range at the same time. According to the replacement method provided by the embodiment of the application, when the current temperature data is replaced, whether the temperature data of the same position of the same measuring point of other axes is normal temperature data is judged, and if the temperature data of the same measuring point of the other axes is not the normal temperature data, the current temperature data is replaced by the normal temperature data acquired last time at the current measuring point of the current axis. If the current measuring point position of the current axis is the normal temperature data, calculating the difference value between the normal temperature data acquired at the same time when the current measuring point position of the current axis and the same measuring point positions of other axes are the same, wherein the difference value can be positive or negative. And adding the difference value to the temperature data acquired at the same measuring point position of other axes when acquiring the current temperature data at the current measuring point position of the shaft so as to replace the current temperature data.
According to the temperature alarm method, when the current temperature data is replaced, the temperature data of the same position of the same measuring point of other axes or the latest normal temperature data of the current measuring point of the current axis are used for replacing the current temperature data, and the temperature data similar to the latest normal temperature data are used for replacing the current temperature data, so that the actual temperature data of the current measuring point of the current axis are reflected to the greatest extent. Meanwhile, when the temperature change curve graph is drawn, the current temperature data which is determined to be abnormal temperature data or the current temperature data which does not meet the preset confidence condition is replaced by normal temperature data, so that the drawn curve is smoother, and the temperature change trend of the bearing is more easily checked.
Fig. 4 is a flowchart of another temperature alarm method provided in the embodiment of the present application, as shown in fig. 4, and on the basis of the foregoing embodiment, this embodiment provides a specific method for performing confidence evaluation on current temperature data, where the method is step S1001 or step S1002.
S1001: judging whether N1 pieces of temperature data acquired before the current temperature data are all normal temperature data, and the absolute temperature rise rate of each piece of temperature data and the previous normal temperature data is not greater than a threshold value, if so, entering step S1003, and if not, repeating the step until entering step S1003.
In step S1001, in the case of acquiring the current temperature data, further determination is made on N1 pieces of temperature data acquired before the current temperature data is acquired based on the time dimension, and whether the current temperature data is authentic is determined according to the determination result. Wherein the temperature rise rate represents the variation between two temperature data, and the temperature rise rate is calculated by the following way
Wherein DeltaT is the temperature rise rate, T new T is the current temperature data new For the acquisition time of the current temperature data, T old To collect the temperature data collected before the current temperature data, t old The acquisition time of the temperature data acquired before the acquisition of the current temperature data. The absolute temperature rise rate is the absolute value of the temperature rise rate. It will be appreciated that, in order to ensure accuracy of the determination, the number of temperature data obtained for the determination should be sufficient, and the value of N1 should be as large as possible, but too much temperature data may cause excessive calculation of the processor. In a specific implementation, N1 temperature data may select 8 or 10 temperature data. It should be noted that, the absolute temperature rise rate herein refers to the absolute temperature rise rate of the latter temperature data, for example, N1 is 8, the second temperature data and the first temperature data are calculated to obtain the first absolute temperature rise rate required for judgment, and the eighth temperature data and the seventh temperature data are calculated to obtain the seventh absolute temperature rise rate required for judgment.
Judging whether the N1 temperature data are all normal temperature data, and the absolute temperature rise rate of each temperature data and the previous normal temperature data is not larger than a first threshold value. For example, N1 selects 8, if the 8 temperature data are all normal temperature data, and the absolute temperature rise rate of each temperature data and the previous normal temperature data is not greater than the first threshold, the current temperature data are the same as the previous normal temperature data, and the current temperature data are trusted and modified to be trusted. Since the process of collecting the temperature data is continuous, the processor continuously obtains new current temperature data, so if the current temperature data does not meet the preset confidence condition, for example, if abnormal temperature data exists in 8 pieces of temperature data, the current temperature data is still unreliable, whether the next newly obtained current temperature data meets the preset confidence condition is judged, the first temperature data of the original 8 pieces of temperature data is discharged, and the current temperature data becomes eighth temperature data in the judgment of the new current temperature data. It can be understood that in this embodiment, the current temperature data meets the preset confidence condition and needs to meet two requirements, namely, N1 temperature data are all normal temperature data, and the absolute temperature rise rate of each temperature data in N1 temperature data and the previous normal temperature data is not greater than the first threshold. When abnormal temperature data appear in the N1 pieces of temperature data, the temperature data are inaccurate, and the credible attribute of the current temperature data cannot be confirmed to be credible. When the absolute temperature rise rate in the N1 temperature data exceeds the first threshold, the sensor is informed of fluctuation, whether interference disappears or not cannot be confirmed, and the credible attribute of the current temperature data cannot be confirmed. It should be noted that, even if the bearing fails, the temperature rises, and at this time, the temperature data is failure temperature data, and the absolute temperature rise rate may exceed the first threshold, but it is understood that, even if the temperature continuously rises, the absolute temperature rise rate may also fall along with the rise of the temperature, and the absolute temperature rise rate between every two failure temperature data may also be smaller than the first threshold, so as to satisfy the preset confidence condition, and the failure temperature data may also enter the alarm judgment flow.
S1002: judging whether N2 temperature data acquired before acquiring the current temperature data are all normal temperature data, wherein the absolute temperature rise rate of each temperature data and the previous normal temperature data is not larger than a threshold value and is in a monotonically rising or monotonically descending trend, if so, entering a step S1003, and if not, repeating the step until entering the step S1003.
In step S1002, with respect to the determination method provided in the above embodiment, it is also necessary to determine whether the N2 pieces of temperature data in the present embodiment have a monotonically increasing or monotonically decreasing trend. It will be appreciated that the condition of the judging method in this embodiment is more severe than the above method, and in a specific implementation, when the N2 temperature data have a monotonically increasing or monotonically decreasing trend, it indicates that the bearing may malfunction, and therefore, the number of N2 may be smaller than N1, that is, N2 may be smaller than N1. Of course, N2 may also be greater than N1 in order to further improve accuracy. Note that if N2 is 1, the logic of the method may be implemented, but in a specific implementation, the accuracy of the judgment cannot be ensured, so in actual use, N2 may be 6.
S1003: and confirming that the current temperature data is credible.
According to the temperature alarm method provided by the embodiment of the application, based on the time dimension, whether the current temperature data meets the preset confidence condition is judged through the historical temperature data, whether the current temperature data is credible is confirmed, judgment accuracy is guaranteed, alarm accuracy is further guaranteed, and false alarm and missing alarm conditions are reduced.
In the above embodiments, the detailed description is given to the temperature alarm method, and the application further provides a corresponding embodiment of the temperature alarm device. It should be noted that the present application describes an embodiment of the device portion from two angles, one based on the angle of the functional module and the other based on the angle of the hardware.
Fig. 5 is a block diagram of another temperature alarm apparatus according to an embodiment of the present application, as shown in fig. 5, including:
an acquisition module 10 for acquiring current temperature data;
the judging module 11 is used for judging whether the current temperature data exceeds an alarm threshold value, and if so, triggering an alarm evaluation module;
the alarm evaluation module 12 is used for performing alarm evaluation on temperature data acquired before acquiring current temperature data based on a time dimension, and judging whether the continuous plurality of temperature data are in temperature monotonicity change or not;
And the alarm module 13 is used for confirming whether an alarm is given according to the alarm evaluation result obtained by the alarm evaluation module.
According to the temperature alarm device, when the current temperature data exceeds the alarm threshold value, alarm evaluation is conducted on the temperature data acquired before the current temperature data is acquired based on the time dimension, and whether an alarm is given or not is confirmed according to the result of the alarm evaluation. Compared with the prior art, the temperature data exceeds the alarm threshold value, the alarm is given out, and by adopting the technical scheme, the temperature data acquired before the current temperature data is acquired is subjected to alarm evaluation, the plurality of temperature data are judged based on the time dimension, the alarm is given out when the alarm condition is met, the alarm accuracy is improved, and the false alarm condition is reduced.
Since the embodiments of the apparatus portion and the embodiments of the method portion correspond to each other, the embodiments of the apparatus portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
Fig. 6 is a structural diagram of another temperature alarm apparatus according to an embodiment of the present application, as shown in fig. 6, the apparatus includes: a memory 20 for storing a computer program;
a processor 21 for implementing the steps of the temperature alarm method as described in the above embodiments when executing a computer program.
The temperature alarm device provided in this embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like.
Processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 21 may also comprise a main processor, which is a processor for processing data in an awake state, also called CPU (Central Processing Unit ); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 21 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 21 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.
Memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing a computer program 201, which, when loaded and executed by the processor 21, is capable of implementing the relevant steps of the temperature alarm method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may further include an operating system 202, data 203, and the like, where the storage manner may be transient storage or permanent storage. The operating system 202 may include Windows, unix, linux, among others. The data 203 may include, but is not limited to, alarm threshold values, fluctuation values, and the like.
In some embodiments, the temperature alarm device may further include a display 22, an input/output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is not limiting of the temperature alarm device and may include more or fewer components than shown.
The temperature alarm device provided by the embodiment of the application comprises a memory and a processor, wherein when the processor executes a program stored in the memory, the processor can realize the following method:
acquiring current temperature data;
judging whether the current temperature data exceeds an alarm threshold value or not;
if so, based on the time dimension, carrying out alarm evaluation on a plurality of continuous temperature data acquired before the current temperature data is acquired, and judging whether the plurality of continuous temperature data are in temperature monotonicity change or not;
and confirming whether the alarm is given according to the alarm evaluation result.
Finally, the present application also provides a corresponding embodiment of the computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps as described in the method embodiments above.
It will be appreciated that the methods of the above embodiments, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored on a computer readable storage medium. With such understanding, the technical solution of the present application, or a part contributing to the prior art or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium, performing all or part of the steps of the method described in the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The method, the device and the medium for alarming the temperature are described in detail. In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the claims of the present application.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (12)
1. A method of temperature alarm, comprising:
acquiring current temperature data;
judging whether the current temperature data exceeds an alarm threshold value or not;
if so, based on the time dimension, carrying out alarm evaluation on a plurality of continuous temperature data acquired before the current temperature data is acquired, and judging whether the plurality of continuous temperature data are in temperature monotonicity change or not;
confirming whether an alarm is given according to the alarm evaluation result;
wherein said determining whether said continuous plurality of said temperature data is monotonically varying in temperature comprises:
judging whether the absolute value of the difference value between each temperature data and the last temperature data acquired last time is smaller than a fluctuation value or not in a plurality of continuous temperature data, if so, recording the temperature data as the last temperature data, and if not, keeping the temperature data unchanged;
judging whether the different obtained temperature data are in temperature monotonicity change or not;
if so, determining that the continuous plurality of temperature data change in a temperature monotonicity mode, otherwise, determining that the continuous plurality of temperature data do not change in a temperature monotonicity mode.
2. The temperature alarm method according to claim 1, wherein if the temperature data acquired before the current temperature data is acquired has no abnormal temperature data, the alarm evaluation of the continuous plurality of temperature data acquired before the current temperature data is acquired includes:
Judging whether the latest reliable temperature data acquired before the current temperature data are acquired has continuous BN1 temperature monotonous change to temperature monotonous rise, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm; and/or
Judging whether the latest reliable temperature data obtained before the current temperature data is obtained has continuous BN2 temperature monotonic changes and exceeds the alarm threshold value, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm.
3. The temperature alarm method according to claim 1, wherein if the temperature data acquired before the current temperature data is acquired has abnormal temperature data, and each is a specific temperature value of the sensor itself, the alarm evaluation of the continuous plurality of temperature data acquired before the current temperature data is acquired includes:
judging whether the latest reliable temperature data obtained before the current temperature data is obtained has continuous BN3 temperature monotonicity changes and exceeds the alarm threshold value, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm.
4. The temperature alarm method according to claim 1, wherein if abnormal temperature data has occurred in the temperature data acquired before the current temperature data is acquired and the unevenness is a special temperature value of the sensor itself, the alarm evaluation of the continuous plurality of temperature data acquired before the current temperature data is acquired includes:
judging whether the latest reliable temperature data obtained before the current temperature data is obtained has continuous BN4 temperature monotonicity changes and exceeds the alarm threshold value, if so, confirming that the alarm evaluation result is an alarm, and if not, repeating the steps until the alarm evaluation result is an alarm.
5. The temperature alarm method of claim 1, wherein the monotonic change in temperature comprises: the temperature rises monotonically, or the temperature drops monotonically, or the temperature rises first and then drops.
6. The temperature alarm method according to claim 1, further comprising, before said determining whether the current temperature data exceeds the alarm threshold value:
performing confidence evaluation on the current temperature data;
if the current temperature data is evaluated to be credible, the step of judging whether the current temperature data exceeds an alarm threshold value is carried out.
7. The temperature alarm method of claim 6, further comprising, if the current temperature data is assessed as not authentic:
and replacing the current temperature data with normal temperature data.
8. The temperature alarm method of claim 7, wherein said replacing current temperature data with normal temperature data comprises:
judging whether the temperature data of the same measuring point positions of other shafts are normal temperature data or not when the current temperature data are acquired;
if not, the last normal temperature data acquired last time at the current measuring point position of the shaft is called to replace the current temperature data;
if so, calculating a difference value of normal temperature data obtained at the same time when the current measuring point position of the shaft and the same measuring point position of the other shafts are co-located, and adding the difference value to the temperature data at the same measuring point position of the other shafts to replace the current temperature data.
9. The temperature alarm method according to any one of claims 6 to 8, wherein the confidence evaluation of the current temperature data comprises:
judging whether N1 pieces of temperature data acquired before the current temperature data are all normal temperature data, wherein the absolute temperature rise rate of each piece of temperature data and the previous normal temperature data is not greater than a threshold value, if so, confirming that the current temperature data are credible, and if not, repeating the step until the current temperature data are credible;
Or judging whether N2 pieces of temperature data acquired before the current temperature data are all normal temperature data, wherein the absolute temperature rise rate of each piece of temperature data and the previous normal temperature data is not larger than the threshold value and is in a monotonically rising or monotonically descending trend, if so, confirming that the current temperature data are credible, and if not, repeating the step until the current temperature data are confirmed to be credible.
10. A temperature alarm apparatus, comprising:
the acquisition module is used for acquiring current temperature data;
the judging module is used for judging whether the current temperature data exceeds an alarm threshold value, and if so, triggering an alarm evaluation module;
the alarm evaluation module is used for carrying out alarm evaluation on a plurality of continuous temperature data acquired before the current temperature data are acquired based on the time dimension and judging whether the plurality of continuous temperature data are in temperature monotonicity change or not;
the alarm module is used for confirming whether an alarm is given according to the alarm evaluation result obtained by the alarm evaluation module;
wherein said determining whether said continuous plurality of said temperature data is monotonically varying in temperature comprises:
Judging whether the absolute value of the difference value between each temperature data and the last temperature data acquired last time is smaller than a fluctuation value or not in a plurality of continuous temperature data, if so, recording the temperature data as the last temperature data, and if not, keeping the temperature data unchanged;
judging whether the different obtained temperature data are in temperature monotonicity change or not;
if so, determining that the continuous plurality of temperature data change in a temperature monotonicity mode, otherwise, determining that the continuous plurality of temperature data do not change in a temperature monotonicity mode.
11. A temperature alarm apparatus comprising a memory for storing a computer program;
processor for implementing the steps of the temperature alarm method according to any of claims 1 to 9 when executing said computer program.
12. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the temperature alarm method according to any of claims 1 to 9.
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