CN112697308A - Subway bearing temperature early warning method - Google Patents
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- CN112697308A CN112697308A CN202011486948.4A CN202011486948A CN112697308A CN 112697308 A CN112697308 A CN 112697308A CN 202011486948 A CN202011486948 A CN 202011486948A CN 112697308 A CN112697308 A CN 112697308A
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Abstract
The invention discloses a subway bearing temperature early warning method, which comprises the following steps: s1: acquiring the temperature of a subway bearing to obtain a set X; s2: processing the temperature of the subway bearing to obtain a relative temperature set Y of the subway bearing: the relative temperature of the subway bearing is the temperature of the subway bearing-the ambient temperature; s3: calculating the mean value m and the standard deviation S of the subway bearing relative temperature set Y at the same time pointdSkewness f and kurtosis q; s4: if F is larger than a temperature deviation threshold value F or Q is larger than a kurtosis threshold value Q, executing a first early warning mode; if F is less than or equal to F or Q is less than or equal to Q, executing a second early warning mode; s5: detecting the running time T of the subway bearing, and executing a third early warning mode when the T is greater than the preset running time T; and when T is less than or equal to T, the temperature detection device is in a dormant state. The temperature of the subway bearing is calculated and early-warned by setting the relative temperature threshold and the temperature differential threshold, so that the early-warning precision is improved.
Description
Technical Field
The invention relates to the technical field of electronic control, in particular to a subway bearing temperature early warning method.
Background
The subway bearing is a key part of a train, and the running state and the service performance of the subway are directly influenced by the quality of the running state of the subway bearing. The operational environment of train is abominable, and when bearing produced the defect or broke down, the vibration aggravation of axle box bearing, noise increase can directly influence the stability of train operation along with the rising of bearing temperature simultaneously, influence the safety of traveling of train even, if not monitor the prevention and can bring huge life and property loss.
Through carrying out on-line monitoring to the subway bearing, can monitor the temperature data of each bearing of subway in real time, can judge the running state of bearing through data analysis and data synthesis, improved the stability and the security of subway operation, prevent suffering from in the future to through the analysis of the countershaft carrying running state, rationally arrange the bearing and maintain the maintenance cycle, reduced the maintenance cost.
The traditional alarm strategy is that the alarm is given when the relative temperature of the bearing and the environment or the absolute temperature of the bearing exceeds a threshold value, and has the following defects:
(1) false alarm may be caused by bearing temperature difference caused by processing error, mounting precision and mounting position between bearings of the subway axle box;
(2) before the temperature of the bearing exceeds a threshold value, alarming is carried out when the temperature change rate of the bearing is too high, so that the alarming is not timely;
(3) the whole life cycle of the bearing comprises a running-in period, a stable operation period, a fatigue failure period and the like, the change condition of the bearing temperature at each stage is different, and the traditional method does not consider the different temperatures of the bearing at each state period, so that the false alarm and the false alarm are missed;
(4) the temperature prediction is not carried out by utilizing the historical data of the bearing temperature, so that the early warning is realized.
Disclosure of Invention
Aiming at the problem of low subway bearing temperature early warning accuracy in the prior art, the invention provides a subway bearing temperature early warning method, which is used for calculating and early warning the temperature of a subway bearing by setting a relative temperature threshold and a temperature differential threshold, so that false warning caused by the difference of the temperature changes of the subway bearing in different time periods is eliminated, and the early warning accuracy is improved.
In order to achieve the purpose, the invention provides the following technical scheme:
a subway bearing temperature early warning method specifically comprises the following steps:
s1: fixing each temperature detection device on the subway bearing through bolts in average segmentation, and acquiring the temperature of the subway bearing to obtain a set X (X)1,X2,...,Xi...,Xn),XiIndicating the temperature, X, of the bearing of the i-th section of the subwaynRepresenting the temperature of the bearing of the nth subway;
s2: processing the temperature of the subway bearing to obtain a relative temperature set Y of the subway bearing: the relative temperature of the subway bearing is the temperature of the subway bearing-the ambient temperature;
s3: calculating the mean value m and the standard deviation S of the subway bearing relative temperature set Y at the same time pointdSkewness f and kurtosis q;
s4: if F is larger than a temperature deviation threshold value F or Q is larger than a kurtosis threshold value Q, executing a first early warning mode; if F is less than or equal to F and Q is less than or equal to Q, executing a second early warning mode;
s5: detecting the running time T of the subway bearing, and executing a third early warning mode when the T is greater than the preset running time T; and when T is less than or equal to T, the temperature detection device is in a dormant state.
Preferably, the mean m and the standard deviation SdThe calculation formula of (2) is as follows:
in the formula (1), m represents the average value of the relative temperature set Y of the subway bearing, n represents the number of subway bearing segments, and Y representsiRepresents the relative temperature, S, of the bearing of the i-th subwaydRepresenting the standard deviation of the subway bearing relative temperature set Y;
the calculation formulas of the skewness f and the kurtosis q are as follows:
in the formula (2), f represents the skewness of the subway bearing relative to the temperature set Y, and q represents the kurtosis of the subway bearing relative to the temperature set Y.
Preferably, the first early warning mode is as follows:
a. when Y isiIf the alarm is greater than T3, the corresponding alarm array AiWhen it is 1, an alarm is given, YiRepresents the relative temperature of the bearing of the i-th subwayiAn alarm array representing the bearing of the ith subway, and T3 representing a preset third relative temperature threshold; if Y isiT3 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation b is executed;
b. when Y isi(ii) T2, calculating a relative temperature change rate D by formula (3), wherein T2 represents a preset second relative temperature threshold value; if D > G2, the corresponding AiGiving an alarm prompt, wherein G2 represents a preset second temperature differential threshold value; if D is less than or equal to G2, the corresponding AiIf the value is 0, no alarm prompt is given; when Y isiT2 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation c is executed;
D＝(Yi-Yi-1)/T (3)
in the formula (3), YiIndicating the relative temperature, Y, of the bearing of the i-th section of the subwayi-1The relative temperature of the bearing of the i-1 th section of the subway is represented, and T represents the preset running time of the bearing of the subway;
c. predicting the predicted temperature K of a subway bearingiWhen K isiAt > T3, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT3 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
Preferably, in S4, the second warning mode is:
d. when Y isiIf the alarm is greater than T2, the corresponding alarm array AiSending out an alarm prompt when the alarm is 1; if Y isiT2 is less than or equal to, the corresponding AiWhen the value is equal to 0, no alarm prompt is given,performing operation e;
e. when Y isi(ii) T1, calculating a relative temperature change rate D by formula (3), wherein T1 represents a preset first relative temperature threshold value; if D > G1, the corresponding AiGiving an alarm prompt, wherein G1 represents a preset first temperature differential threshold value; if D is less than or equal to G1, the corresponding AiIf the value is 0, no alarm prompt is given; when Y isiT1 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation f is executed;
f. predicting iron bearing predicted temperature KiWhen K isiAt > T3, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT3 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
Preferably, in S5, the third warning mode is:
g. when Y isiIf > T1, the corresponding AiSending out an alarm prompt when the alarm is 1; if Y isiT1 is less than or equal to, the corresponding AiIf the value is 0, no alarm prompt is sent, and operation h is executed;
h. when Y isiT1 is not more than, and the relative temperature change rate D is calculated through a formula (3); if D > G1, the corresponding AiSending out an alarm prompt when the alarm is 1; if D is less than or equal to G1, the corresponding AiWhen the value is 0, no alarm prompt is given, and Y is judged at the same timeiWhether m > 2D is true, if YiM > 2D, then corresponding to AiSending out an alarm prompt when the alarm is 1; if Y isiM is less than or equal to 2D, then corresponding AiIf the value is 0, no alarm prompt is sent, and operation j is executed;
j. predicting the predicted temperature K of a subway bearingiWhen K isiAt > T1, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT1 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
Preferably, the predicted temperature K of the subway bearingiThe calculation method comprises the following steps:
A1. selecting all historical temperature data sets XH (XH) of any section of subway bearing before the time point to be tested1,XH2,...,XHL),XHLRepresenting the Lth historical temperature data, namely the length of the set XH is L, entering A2 when L is less than or equal to N, entering A3 when L is more than N, and N representing the length threshold value, namely the number of the historical temperature data;
A2. calculating the predicted temperature K of the subway bearingiThe formula of (1) is as follows:
Ki＝2XHL-XHL-1，XHLrepresenting the Lth historical temperature data, XHL-1Indicating the L-1 th historical temperature data.
In summary, due to the adoption of the technical scheme, compared with the prior art, the invention at least has the following beneficial effects:
according to the invention, the temperature of the subway bearing is calculated and early-warned by setting the relative temperature threshold and the temperature differential threshold, so that false warning caused by the difference of the temperature changes of the subway bearing in different time periods is eliminated, and the early-warning precision is improved. Meanwhile, the temperature of the subway bearing is predicted, early warning is achieved, and safety is improved.
Description of the drawings:
fig. 1 is a schematic flow chart of a subway bearing temperature early warning method according to an exemplary embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and embodiments. It should be understood that the scope of the above-described subject matter is not limited to the following examples, and any techniques implemented based on the disclosure of the present invention are within the scope of the present invention.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.
As shown in fig. 1, the invention provides a subway bearing temperature early warning method, which comprises the following steps:
s1: and (3) fixing each temperature detection device on the subway bearing in an average subsection mode through bolts, and collecting the temperature of the subway bearing to obtain a set X.
In this embodiment, the subway bearing is very long, and therefore, a temperature detection device (temperature sensor) needs to be installed on average in a segmented manner to detect the temperature of the corresponding subway bearing. For example, if the subway bearing is divided into n sections on average, the collected temperature of the subway bearing is X (X)1,X2,...,Xi...,Xn),XiIndicating the temperature, X, of the bearing of the i-th section of the subwaynAnd (3) representing the temperature of the bearing of the nth section of the subway, wherein the sampling method is to sample at time intervals, and the time intervals are 1 min.
S2: and processing the temperature of the subway bearing to obtain a relative temperature set Y of the subway bearing.
In this embodiment, in the process of acquiring the temperature data of the subway bearing, due to noise caused by electromagnetic interference or abnormal temperature, interference data exists in the temperature data, and therefore the temperature X of the subway bearing needs to be processed by adopting the existing smoothing filtering method.
And the relative temperature Y of the subway bearing is the temperature X-the ambient temperature T of the subway bearing.
S3: calculating the mean value m and the standard deviation S of the relative temperature set Y of the subway bearing at the same momentdSkewness f and kurtosis q.
Mean value m and standard deviation S of subway bearing relative temperature set Y at the same momentdThe calculation formula of (a) is as follows:
in the formula (1), m represents the average value of the relative temperature set Y of the subway bearing, n represents the number of subway bearing segments, and Y representsiRepresents the relative temperature, S, of the bearing of the i-th subwaydAnd the standard deviation of the subway bearing relative to the temperature set Y is shown.
The calculation formulas of the skewness f and the kurtosis q of the subway bearing relative temperature set Y at the same time are as follows:
in the formula (2), f represents the skewness of the subway bearing relative to the temperature set Y, and q represents the kurtosis of the subway bearing relative to the temperature set Y.
S4: if F is larger than the temperature deviation threshold value F or Q is larger than the kurtosis threshold value Q, executing a first early warning mode; and if F is less than or equal to F and Q is less than or equal to Q, executing a second early warning mode.
In this embodiment, each metro bearing corresponds to an alarm array anThe alarm array of the nth section of subway bearing is shown, when AnSending out an alarm prompt when the alarm is 1; when A isnAnd if the value is 0, no alarm prompt is given. Because the environmental temperature changes greatly in one year, the disadvantage of adopting an absolute temperature threshold value to give an alarm is as follows: the method comprises the following steps of firstly, considering environmental factors for determining an absolute temperature threshold, and secondly, carrying out false alarm caused by low temperature rise of a subway bearing due to overhigh environmental temperature. Therefore, the invention adopts a relative temperature threshold, the relative temperature threshold adopts a three-section temperature threshold (T1, T2, T3, T1 < T2 < T3), and the relative temperature threshold is selected in due time according to different operation stages of the subway bearing. T1 is the early warning temperature threshold, T2 is the warning temperature threshold, and T3 is the scram temperature threshold.
The first early warning mode is as follows:
a. when Y isiIf > T3, the corresponding AiWhen it is 1, an alarm is given, YiRepresents the relative temperature of the bearing of the i-th subwayiAn alarm array for representing the bearing of the ith subway; if Y isiT3 is less than or equal to, the corresponding AiAnd (5) not sending out an alarm prompt, executing operation b, enabling i to be i +1, and continuing to calculate until i is n.
b. When Y isiIf D > G2, the corresponding A is calculated by the formula (3) if T2 is greater thaniSending out an alarm prompt when the alarm is 1; if D is less than or equal to G2, the corresponding AiAnd if the value is 0, no alarm prompt is given.When Y isiT2 is less than or equal to, the corresponding AiAnd (4) not sending out an alarm prompt, executing operation c, enabling i to be i +1, and continuing to calculate until i is n.
In this embodiment, the conventional alarm mode only considers the temperature threshold, and alarms when the real-time temperature exceeds the temperature threshold. However, the temperature differential is not calculated before the real-time temperature does not exceed the temperature threshold, and the temperature differential can be used for predicting the numerical solution of the temperature value according to the historical value, and when the temperature differential value exceeds the threshold (such as the first temperature differential threshold G1 and the second temperature differential threshold G2), an alarm is given in advance, so that the timeliness and the safety of the early warning are improved.
D＝(Yi-Yi-1)/T (3)
In the formula (3), YiIndicating the relative temperature, Y, of the bearing of the i-th section of the subwayi-1The relative temperature of the subway bearing in the section i-1 is shown, and T represents the preset running time of the subway bearing.
c. Subway bearing predicted temperature K using prediction algorithmiWhen K isiAt > T3, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT3 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
The second early warning mode is as follows:
d. when Y isiIf > T2, the corresponding AiWhen it is 1, an alarm is given, YiRepresents the relative temperature of the bearing of the i-th subwayiAn alarm array for representing the bearing of the ith subway; if Y isiT2 is less than or equal to, the corresponding AiAnd e, executing operation e without giving an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
e. When Y isiIf D > G1, the corresponding A is calculated by the formula (4) if D is more than T1iSending out an alarm prompt when the alarm is 1; if D is less than or equal to G1, the corresponding AiAnd if the value is 0, no alarm prompt is given. When Y isiT1 is less than or equal to, the corresponding AiAnd if the value is 0, not sending an alarm prompt, executing operation f, enabling i to be i +1, and continuing to calculate until i is n.
D＝(Yi-Yi-1)/T (4)
In the formula (4), YiIndicating the relative temperature, Y, of the bearing of the i-th section of the subwayi-1The relative temperature of the subway bearing in the section i-1 is shown, and T represents the preset running time of the subway bearing.
f. Subway bearing predicted temperature K using prediction algorithmiWhen K isiAt > T3, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT3 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
S5: detecting the running time T of the subway bearing, and executing a third early warning mode when the T is greater than the preset running time T; and when T is less than or equal to T, the temperature detection device is in a dormant state.
The third early warning mode is as follows:
g. when Y isiIf > T1, the corresponding AiWhen it is 1, an alarm is given, YiRepresents the relative temperature of the bearing of the i-th subwayiAn alarm array for representing the bearing of the ith subway; if Y isiT1 is less than or equal to, the corresponding AiAnd when the value is equal to 0, not sending an alarm prompt, executing an operation h, enabling i to be equal to i +1, and continuing to calculate until i is equal to n.
h. When Y isiT1 is not more than, and the relative temperature change rate D is calculated through a formula (5); if D > G1, the corresponding AiSending out an alarm prompt when the alarm is 1; if D is less than or equal to G1, the corresponding AiWhen the value is 0, no alarm prompt is given, and Y is judged at the same timeiWhether m > 2D is true, if YiM > 2D, then corresponding to AiSending out an alarm prompt when the alarm is 1; if Y isiM is less than or equal to 2D, then corresponding AiAnd (5) not sending out an alarm prompt, executing operation j, enabling i to be i +1, and continuing to calculate until i is n.
D＝(Yi-Yi-1)/T (5)
In the formula (5), YiIndicating the relative temperature, Y, of the bearing of the i-th section of the subwayi-1The relative temperature of the subway bearing in the section i-1 is shown, and T represents the preset running time of the subway bearing.
j. Subway bearing predicted temperature using prediction algorithmKi
When K isiAt > T1, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT1 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
The method respectively predicts the temperature according to different prediction algorithms of the historical temperature data length of the subway bearing, namely when the historical temperature data length of the subway bearing is not less than a fixed length N (which can be understood as a quantity threshold value of the historical temperature data of the subway bearing), a prediction method based on wavelet transformation and autoregressive process is adopted, and when the historical temperature data length of the subway bearing is less than the fixed length N, a temperature prediction method based on differentiation is adopted.
Based on a prediction method of wavelet transformation and autoregressive processes, two-layer wavelet decomposition is carried out on the fixed-length historical temperature data to obtain wavelet coefficients D1, D2 and C2. And respectively establishing AR (p) models for the wavelet coefficients D1, D2 and C2, solving respective parameters, and then respectively predicting to obtain predicted wavelet coefficients ND1, ND2 and NC 2. Wavelet reconstruction is carried out by using the predicted wavelet coefficients ND1, ND2 and NC2, and then the predicted temperature value K is obtainedi。
The differential temperature prediction method utilizes the current differential to carry out linear prediction to obtain the predicted temperature Ki。
Predicting absolute temperature K of subway bearing by using prediction algorithmiThe specific method comprises the following steps:
A1. selecting all historical temperature data sets XH (XH) of the ith section of subway bearing before the time point to be tested1,XH2,...,XHL),XHLIndicating that the length of the Lth historical temperature data, namely the set XH, is L, entering A2 when L is less than or equal to N, entering A3 when L is more than N, and N indicating the length threshold value, namely the number of the historical temperature data.
A2. Calculating the predicted temperature K of the subway bearingiThe formula of (1) is as follows:
Ki＝2XHL-XHL-1，XHLrepresenting the Lth historical temperature data, XHL-1Represents the L-1 th historical temperature data;
A3. obtaining a set XR (XH) by taking N data before a time point to be tested in the historical temperature data set XHL,XHL-1,...,XHL-N+1) Selecting db2 wavelet, performing two-layer wavelet decomposition on the set XR according to the wavelet analysis method as shown in the following formula to obtain wavelet coefficients D1, D2 and C2, and entering A4;
wherein a is a scale factor, b is a time shift factor,
denotes the conjugate function of ψ (t) < f (t) · ψa,b(t) > represents the inner product.
A4. Respectively establishing AR (P) models for wavelet coefficients D1, D2 and C2; predicting 2 values by using an AR (P) model of D1 to obtain predicted wavelet coefficients ND1 and ND 2; predicting 1 value by using an AR (P) model of D2 to obtain a predicted wavelet coefficient ND 3; 1 value is predicted by using the AR (P) model of C2, and a predicted wavelet coefficient NC1 is obtained.
The AR model is a prediction algorithm on a time sequence through the existing data such as wavelet coefficients and the like, and is mainly solved in a Yule-Walker equation form of an autocorrelation method, wherein the AR coefficients (such as ND1) and an autocorrelation function phixx(m) can be expressed by Yule-Walker equation:
wherein E [ x (n) w (n + m)]＝D1 2
A5. Performing wavelet reconstruction by using the predicted wavelet coefficients ND1, ND2 and NC2 according to the existing db8 wavelet analysis method to obtain a predicted temperature data set NXR ═ ND1, ND2, ND3 and NC1 };
a6, calculating the predicted temperature
Wherein the Mean calculates a Mean function of the Mean,i.e. the predicted temperature data is averaged over the four data after NXR.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (6)
1. The subway bearing temperature early warning method is characterized by comprising the following steps:
s1: fixing each temperature detection device on the subway bearing through bolts in average segmentation, and acquiring the temperature of the subway bearing to obtain a set X (X)1,X2,...,Xi...,Xn),XiIndicating the temperature, X, of the bearing of the i-th section of the subwaynRepresenting the temperature of the bearing of the nth subway;
s2: processing the temperature of the subway bearing to obtain a relative temperature set Y of the subway bearing: the relative temperature of the subway bearing is the temperature of the subway bearing-the ambient temperature;
s3: calculating the mean value m and the standard deviation S of the subway bearing relative temperature set Y at the same time pointdSkewness f and kurtosis q;
s4: if F is larger than a temperature deviation threshold value F or Q is larger than a kurtosis threshold value Q, executing a first early warning mode; if F is less than or equal to F and Q is less than or equal to Q, executing a second early warning mode;
s5: detecting the running time T of the subway bearing, and executing a third early warning mode when the T is greater than the preset running time T; and when T is less than or equal to T, the temperature detection device is in a dormant state.
2. The method for warning the temperature of a metro bearing as claimed in claim 1, wherein in the S3, the mean value m and the standard deviation SdThe calculation formula of (2) is as follows:
in the formula (1), m represents a subway bearing phaseFor the mean value of the temperature set Y, n represents the number of subway bearing segments, YiRepresents the relative temperature, S, of the bearing of the i-th subwaydRepresenting the standard deviation of the subway bearing relative temperature set Y;
the calculation formulas of the skewness f and the kurtosis q are as follows:
in the formula (2), f represents the skewness of the subway bearing relative to the temperature set Y, and q represents the kurtosis of the subway bearing relative to the temperature set Y.
3. The warning method for temperature of bearing of subway as claimed in claim 1, wherein in said S4, said first warning mode is:
a. when Y isiIf the alarm is greater than T3, the corresponding alarm array AiWhen it is 1, an alarm is given, YiRepresents the relative temperature of the bearing of the i-th subwayiAn alarm array representing the bearing of the ith subway, and T3 representing a preset third relative temperature threshold; if Y isiT3 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation b is executed;
b. when Y isi(ii) T2, calculating a relative temperature change rate D by formula (3), wherein T2 represents a preset second relative temperature threshold value; if D > G2, the corresponding AiGiving an alarm prompt, wherein G2 represents a preset second temperature differential threshold value; if D is less than or equal to G2, the corresponding AiIf the value is 0, no alarm prompt is given; when Y isiT2 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation c is executed;
D＝(Yi-Yi-1)/T (3)
in the formula (3), YiIndicating the relative temperature, Y, of the bearing of the i-th section of the subwayi-1The relative temperature of the bearing of the i-1 th section of the subway is represented, and T represents the preset running time of the bearing of the subway;
c. predicting the predicted temperature K of a subway bearingiWhen K isiAt > T3, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT3 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
4. The warning method for temperature of bearing of subway as claimed in claim 1, wherein in said S4, said second warning mode is:
d. when Y isiIf the alarm is greater than T2, the corresponding alarm array AiSending out an alarm prompt when the alarm is 1; if Y isiT2 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation e is executed;
e. when Y isi(ii) T1, calculating a relative temperature change rate D by formula (3), wherein T1 represents a preset first relative temperature threshold value; if D > G1, the corresponding AiGiving an alarm prompt, wherein G1 represents a preset first temperature differential threshold value; if D is less than or equal to G1, the corresponding AiIf the value is 0, no alarm prompt is given; when Y isiT1 is less than or equal to, the corresponding AiIf not, no alarm prompt is sent, and operation f is executed;
f. predicting iron bearing predicted temperature KiWhen K isiAt > T3, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT3 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
5. The warning method for temperature of bearing of subway as claimed in claim 1, wherein in said S5, said third warning mode is:
g. when Y isiIf > T1, the corresponding AiSending out an alarm prompt when the alarm is 1; if Y isiT1 is less than or equal to, the corresponding AiIf the value is 0, no alarm prompt is sent, and operation h is executed;
h. when Y isiT1 is not more than, and the relative temperature change rate D is calculated through a formula (3); if D > G1, the corresponding AiSending out an alarm prompt when the alarm is 1; if D is less than or equal to G1, the corresponding AiWhen the value is 0, no alarm prompt is given, and Y is judged at the same timeiWhether m > 2D is true, if YiM > 2D, then corresponding to AiSending out an alarm prompt when the alarm is 1; if Y isiM is less than or equal to 2D, then corresponding AiIf the value is 0, no alarm prompt is sent, and operation j is executed;
j. predicting the predicted temperature K of a subway bearingiWhen K isiAt > T1, corresponding AiWhen the alarm is given, and when the alarm is given, K is giveniT1 is less than or equal to, the corresponding AiAnd (5) not giving out an alarm prompt, and keeping i equal to i +1, and continuing to calculate until i equal to n.
6. The subway bearing temperature early warning method as claimed in any one of claims 3-5, wherein said subway bearing predicted temperature KiThe calculation method comprises the following steps:
A1. selecting all historical temperature data sets XH (XH) of any section of subway bearing before the time point to be tested1,XH2,...,XHL),XHLRepresenting the Lth historical temperature data, namely the length of the set XH is L, entering A2 when L is less than or equal to N, entering A3 when L is more than N, and N representing the length threshold value, namely the number of the historical temperature data;
A2. calculating the predicted temperature K of the subway bearingiThe formula of (1) is as follows:
Ki＝2XHL-XHL-1，XHLrepresenting the Lth historical temperature data, XHL-1Indicating the L-1 th historical temperature data.
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