CN111537230A - Train bearing temperature early warning method and device, electronic equipment and storage medium - Google Patents
Train bearing temperature early warning method and device, electronic equipment and storage medium Download PDFInfo
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- CN111537230A CN111537230A CN202010345715.6A CN202010345715A CN111537230A CN 111537230 A CN111537230 A CN 111537230A CN 202010345715 A CN202010345715 A CN 202010345715A CN 111537230 A CN111537230 A CN 111537230A
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Abstract
The embodiment of the invention provides a train bearing temperature early warning method, a train bearing temperature early warning device, electronic equipment and a storage medium; the method comprises the following steps: early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the train bearing temperature threshold table of the target link includes a plurality of train bearing temperature thresholds, a first train bearing temperature threshold of the plurality of train bearing temperature thresholds uniquely corresponding to a bearing temperature at which the train operates within the first ambient temperature interval and within the first mile interval of the target link. According to the train bearing temperature early warning method, the train bearing temperature early warning device, the electronic equipment and the storage medium, early warning and monitoring of the bearing temperature are achieved through the train bearing temperature threshold table, and different train bearing temperature thresholds are determined in the train bearing temperature threshold table according to the mileage interval and the environment temperature interval, so that the problems that a single threshold warning mode in the prior art is high in false alarm rate and low in accuracy rate are solved.
Description
Technical Field
The invention relates to the field of rail transit, in particular to a train bearing temperature early warning method and device, electronic equipment and a storage medium.
Background
The bearing is used as a part of the train, provides support reaction force for the self weight of the train and the load of the train in the radial direction, and provides balance for the unstable force of the wheel pair in the axial direction. In order to ensure the stable and safe operation of the bearings in the train, the operation state rule of the train bearings needs to be researched.
The bearing temperature of the train is an important index for reflecting the running state of the train bearing. When the temperature of the train bearing is too high or too low, the bearing is indicated to be in an unsafe operating state. Therefore, the bearing temperature of the train needs to be early-warned.
The train bearing temperature early warning method in the prior art generally adopts a fixed temperature alarm threshold value, is irrelevant to the external running environment, the running speed of a train and the running mileage of the train, and causes the defects of high false alarm rate and low accuracy rate of the existing train bearing temperature early warning method.
Disclosure of Invention
The embodiment of the invention provides a train bearing temperature early warning method, a train bearing temperature early warning device, electronic equipment and a storage medium, which are used for solving the defects of high false alarm rate and low accuracy rate caused by the adoption of a fixed temperature alarm threshold value in the train bearing temperature early warning method in the prior art.
The embodiment of the first aspect of the invention provides a train bearing temperature early warning method, which comprises the following steps:
early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the content of the first and second substances,
the train bearing temperature threshold table of the target line comprises a plurality of train bearing temperature thresholds, wherein a first train bearing temperature threshold of the plurality of train bearing temperature thresholds uniquely corresponds to a bearing temperature of a train operating within a first ambient temperature interval and within a first mile interval of the target line; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
In the above technical solution, before the early warning is performed on the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line, the method further includes:
further dividing the train operation data set of the target line according to the mileage interval and the environment temperature interval to obtain a plurality of train operation data subsets; wherein the train operation data set of the target link includes a plurality of train operation data related to the operation of the train on the target link, and one train operation data includes at least: the method comprises the steps of obtaining route information, mileage information, environment temperature information and bearing temperature information of a train;
analyzing the distribution condition of the bearing temperature data in the plurality of train operation data subsets, and determining the train bearing temperature threshold corresponding to each train operation data subset according to the distribution condition;
and obtaining a train bearing temperature threshold table of the target line according to the train bearing temperature threshold corresponding to each train operation data subset.
In the above technical solution, the determining the train bearing temperature threshold corresponding to each train operation data subset according to the distribution further includes:
when the train bearing temperature in the train operation data subset presents positive distribution, calculating the upper limit threshold value of the train bearing temperature according to the positive distribution 3 sigma theorem;
or when the train bearing temperature in the train operation data subset shows non-positive distribution, calculating the upper limit threshold of the train bearing temperature according to the Chebyshev theorem.
In the above technical solution, the obtaining a train bearing temperature threshold table of the target route according to the train bearing temperature threshold corresponding to each train operation data subset includes:
arranging the train bearing temperature threshold values corresponding to the train operation data subsets according to the environment temperature interval and the mileage interval of the target line to obtain a train bearing temperature threshold value table of the target line;
and correcting the train bearing temperature threshold value in the train bearing temperature threshold value table of the target line according to the environment temperature of the train in operation, the train bearing temperature and the mileage interval.
In the above technical solution, the early warning of the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line includes:
searching the train bearing temperature threshold value table according to a mileage interval corresponding to the actually measured temperature of the train bearing and the environment temperature corresponding to the actually measured temperature of the train bearing to obtain a corresponding train bearing temperature upper limit threshold value;
and comparing the actually measured temperature of the train bearing with the searched upper limit threshold value of the temperature of the train bearing, and sending out an early warning signal when the actually measured temperature of the train bearing is higher than the upper limit threshold value of the temperature of the bearing.
In the above technical solution, before the step of further dividing the train operation data set of the target route according to the mileage interval and the environmental temperature interval to obtain a plurality of train operation data subsets, the method further includes:
collecting the running data of the running train on the target line to generate an initial train running data set;
processing data in the initial train operation data set to obtain a train operation data set; wherein the processing comprises one or more of: filtering, cleaning and missing value interpolation.
An embodiment of a second aspect of the present invention provides an early warning device for train bearing temperature, including:
the early warning module is used for early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the content of the first and second substances,
the train bearing temperature threshold table of the target line comprises a plurality of train bearing temperature thresholds, wherein a first train bearing temperature threshold in the plurality of train bearing temperature thresholds uniquely corresponds to a condition that a train operates in a first ambient temperature interval and a first mile interval of the target line; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
In the above technical solution, further comprising:
the data dividing module is used for further dividing the train operation data set of the target line according to the mileage interval and the environment temperature interval to obtain a plurality of train operation data subsets; wherein the train operation data set of the target link includes a plurality of train operation data related to the operation of the train on the target link, and one train operation data includes at least: the method comprises the steps of obtaining route information, mileage information, environment temperature information and bearing temperature information of a train;
the train bearing temperature threshold generation module is used for analyzing the distribution condition of the bearing temperature data in the plurality of train operation data subsets and determining the train bearing temperature threshold corresponding to each train operation data subset according to the distribution condition;
and the train bearing temperature threshold table generating module is used for obtaining the train bearing temperature threshold table of the target line according to the train bearing temperature threshold corresponding to each train operation data subset.
In an embodiment of a third aspect of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and operable on the processor, and when the processor executes the program, the steps of the method for warning a train bearing temperature according to the embodiment of the first aspect of the present invention are implemented.
A fourth aspect of the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for warning of train bearing temperature as described in the first aspect of the present invention.
According to the train bearing temperature early warning method, the train bearing temperature early warning device, the electronic equipment and the storage medium, early warning and monitoring of the bearing temperature are achieved through the train bearing temperature threshold table, and different train bearing temperature thresholds are determined in the train bearing temperature threshold table according to the mileage interval and the environment temperature interval, so that the problems that a single threshold warning mode in the prior art is high in false alarm rate and low in accuracy rate are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of an early warning method for train bearing temperature according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for warning a train bearing temperature according to another embodiment of the present invention;
FIG. 3 is a schematic diagram of a train bearing temperature warning device provided in an embodiment of the present invention;
fig. 4 is a schematic diagram of a train bearing temperature warning device according to another embodiment of the present invention;
fig. 5 illustrates a physical structure diagram of an electronic device.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of an early warning method for train bearing temperature according to an embodiment of the present invention, and as shown in fig. 1, the early warning method for train bearing temperature according to the embodiment of the present invention includes:
The target route refers to a route where a train runs. In the embodiment of the present invention, the jinghu line is used as the target line. In other embodiments of the present invention, the target line may also be other lines, such as the national jingganglin, kyannineteen, and zhe gan line, or a foreign railway line.
The train bearing temperature threshold table of the target line comprises a plurality of train bearing temperature thresholds, wherein a first train bearing temperature threshold of the plurality of train bearing temperature thresholds uniquely corresponds to a bearing temperature of a train operating within a first ambient temperature interval and within a first mile interval of the target line; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
For the temperature of the train bearings, the bearings are damaged only when the temperature is too high, and the driving safety is further influenced. Therefore, in the embodiment of the invention, the train bearing temperature threshold is an upper limit threshold of the train bearing temperature.
Taking the jinghu line as an example, the length of the jinghu line is about 1318 km, and assuming that every 1 km is a mileage interval, the jinghu line can be divided into 1318 mileage intervals. In the train running on the Jinghuso line, the change range of the ambient annual environmental temperature is between 40 ℃ below zero and 40 ℃ above zero, 1 ℃ is taken as the length of a temperature interval, and the number of the temperature intervals of the environmental temperature is 80.
In the train bearing temperature threshold value table, the temperature interval is taken as one dimension (such as a row in the table), the mileage interval is taken as the other dimension (such as a column in the table), and the train bearing temperature threshold value is set in the two dimensions. For example, the mileage interval a1 on the kyu line has 80 temperature intervals, which are respectively designated as B1, B2, … …, and B80, for which the ambient temperature is known. Then in the train bearing temperature threshold table, a train bearing temperature threshold C1 is set for A1B1, a train bearing temperature threshold C2 is set for A1B2, a train bearing temperature threshold C3 is set for A1B3, and so on, a train bearing temperature threshold C80 is set for A1B 80. 1318 mileage intervals are provided on the jinghu line, and 105440(1318 × 80) train bearing temperature thresholds are provided in the train bearing temperature threshold table.
According to the train bearing temperature threshold table of the target line, the bearing temperature of the train running on the target line can be early warned. Specifically, firstly, a train bearing temperature threshold value table is searched according to a mileage interval corresponding to the actually measured temperature of the train bearing and the environment temperature corresponding to the actually measured temperature of the train bearing to obtain a corresponding train bearing temperature upper limit threshold value, then, the actually measured temperature of the train bearing is compared with the train bearing temperature upper limit threshold value, and if the actually measured temperature of the train bearing is higher than the corresponding bearing temperature upper limit threshold value, an early warning signal is sent out.
The early warning method for the train bearing temperature provided by the embodiment of the invention realizes early warning and monitoring of the bearing temperature through the train bearing temperature threshold table, and because different train bearing temperature thresholds are determined in the train bearing temperature threshold table according to the mileage interval and the environment temperature interval, the problems of high false alarm rate and low accuracy rate of a single threshold warning mode in the prior art are solved.
Fig. 2 is a flowchart of a method for warning a train bearing temperature according to another embodiment of the present invention, and as shown in fig. 2, the method for warning a train bearing temperature according to another embodiment of the present invention includes:
In the embodiment of the present invention, the jinghu line is used as the target line. The train operation data set of the target line contains data on the operation of the train on the jinghu line. The train operation data at least includes: the route information, the mileage information, the environmental temperature information, and the bearing temperature information of the train.
For example, in the embodiment of the present invention, one piece of data in the train operation data set includes the following contents: the system comprises a line, a line number, a line type number, a train speed, mileage, real-time, a train model, a train id, a compartment number, a fresh air temperature code, a fresh air temperature name, a fresh air temperature, a 1-bit axle box bearing display _ code of a certain type of bearing, a 1-bit axle box bearing data _ code of a certain type of bearing, a 1-bit axle box bearing name of a certain type of bearing and a 1-bit axle box bearing temperature of a certain type of bearing. The fresh air temperature refers to the fresh air temperature of an air inlet of the air conditioner in the embodiment of the invention, and is actually equal to the ambient temperature; the mileage is the driving mileage calculated by the train from the starting station of the train.
The train operation data set of the target link includes data related to the train operating on the target link for a longer period of time (e.g., within one year). In the embodiment of the invention, the data in the train operation data set are all processed and perfected in advance. In other embodiments of the present invention, the process of acquiring train operation data will be further described.
In other embodiments of the present invention, the target line may also be other lines, such as the national jingganglin, kyannineteen, and zhe gan line, or a foreign railway line.
The train operation data set of the target link contains a huge amount of data, which is generated under various conditions. In order to better study the intrinsic regularity of the data, the train operation data set is divided into a plurality of subsets.
When the subsets are divided, the train operation data are divided by taking the mileage interval and the environment temperature interval of the target line as the division dimensions. Taking the jinghu line according to the embodiment of the present invention as an example, the length of the jinghu line is about 1318 km, and assuming that every 1 km is a mileage interval, the jinghu line can be divided into 1318 mileage intervals. The data in the train operation data set of the jinghu line is divided according to the mileage interval, and can be divided into 1318 subsets.
After the train operation data is divided according to the mileage interval, the train operation data is further divided according to the environment temperature interval. Assuming that the environmental temperature of the Jinghuso line varies from-40 ℃ to 40 ℃, and 1 ℃ is taken as the length of the temperature interval, the number of the temperature intervals of the environmental temperature is 80. The data in 1318 subsets obtained in the previous step of dividing the data by mileage interval are subdivided into 80 temperature intervals, and finally 105440(1318 × 80) subsets can be generated. These subsets are the plurality of subsets of train operation data.
In the above description, the data in the train operation data set is divided in the order of the mileage interval and the environmental temperature interval, but the actual application is not limited to the above order. Or the data in the train operation data set can be divided according to the environmental temperature interval and the mileage interval.
In the embodiment of the invention, the length of the mileage interval is set to 1 kilometer, and the length of the environment temperature interval is set to 1 degree centigrade. In other embodiments of the present invention, the length of the mileage space and/or the length of the environment temperature space may also be adjusted, and then the data in the train operation data set may be divided according to the adjusted length of the mileage space and/or the adjusted length of the environment temperature space.
In the previous step, a plurality of subsets of train operation data have been obtained. A plurality of train bearing temperature data are contained in a train operation data subset. The data are train bearing temperature data of the train in the same mileage interval and at the same environmental temperature. The distribution of the train bearing temperature data can be analyzed according to a probability distribution hypothesis method.
One possible distribution of the train bearing temperature data is to exhibit a positive distribution, and another possible distribution of the train bearing temperature data is to exhibit a non-positive distribution.
For a subset of train operation data, if the train bearing temperature data in the subset presents a positive distribution, the upper threshold of the train bearing temperature can be calculated by using the positive distribution 3 sigma theorem. Specifically, first, the standard deviation and the expected value of all the train bearing temperatures in the current train operation data subset are calculated (the mathematical calculation mode of the expected value is the same as the mean value), the calculated standard deviation is σ 1, the calculated expected value is μ 1, and then the train bearing temperature upper limit threshold corresponding to the train operation data subset is μ 1+3 σ 1.
It can be known from the positive-false distribution characteristic that the probability of values outside P (mu-3 sigma < X < mu +3 sigma) is less than 0.3%, which is almost impossible to happen. Therefore, the train bearing temperature upper limit threshold calculated by the positive-distribution 3 sigma theorem can completely meet the actual requirement. Where P represents probability, X is a random variable representing bearing temperature, μ is an expected value, and σ is a standard deviation.
For a subset of train operation data, if the train bearing temperature data within the subset exhibits a non-positive distribution, the Chebyshev theorem can be used to calculate the upper threshold value of the train bearing temperature. For example, first, in a current train operation data subset, calculating a standard deviation and an expected value of all train bearing temperatures (the mathematical calculation mode of the expected value is the same as the mean value), keeping the calculated standard deviation as σ 2, and keeping the calculated expected value as μ 2, wherein the upper limit threshold of the train bearing temperature corresponding to the train operation data subset is μ 2+ k σ 2; wherein, the size of k can be set according to the precision requirement.
For the temperature of the train bearings, the bearings are damaged only when the temperature is too high, and the driving safety is further influenced. Therefore, in the embodiment of the invention, only the upper limit threshold of the train bearing temperature needs to be calculated, and the lower limit threshold of the train bearing temperature does not need to be calculated.
The calculation of the standard deviation and the expected value is common knowledge of those skilled in the art, and therefore, the description is not repeated here.
And step 203, obtaining a train bearing temperature threshold table of the target line according to the train bearing temperature threshold corresponding to each train operation data subset in the target line.
Through the correlation operation in step 202, a corresponding upper threshold value of the train bearing temperature can be calculated for each subset of the train operation data. Organizing the upper limit threshold values of the train bearing temperature according to the mileage interval and the environment temperature interval of the target line to obtain a train bearing temperature threshold value table of the target line.
Still taking the jinghu line as an example, after dividing the train operation data on the jinghu line into 105440(1318 × 80) subsets, each subset can obtain a corresponding train bearing temperature upper limit threshold, correspondingly, 105440 train bearing temperature upper limit thresholds can be obtained on the whole jinghu line, and the thresholds are organized in order according to mileage intervals and environment temperature intervals to form a train bearing temperature threshold table of the jinghu line.
And 204, early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line.
According to the early warning method for the train bearing temperature, provided by the embodiment of the invention, a large amount of train operation data is divided into a plurality of subsets according to the mileage interval and the environmental temperature, the distribution condition of the train bearing temperature in the train operation data is analyzed in each subset, and the standard deviation and the mean value of the train bearing temperature data are solved through the positive-over distribution theory or the Chebyshev theorem, so that the upper limit threshold of the train bearing temperature is obtained, the early warning monitoring of the bearing temperature is realized, and the problems of high false alarm rate and low accuracy rate of a single-threshold warning mode in the prior art are solved.
Based on any one of the above embodiments, in an embodiment of the present invention, the step 203 further includes:
and correcting the train bearing temperature threshold value in the train bearing temperature threshold value table of the target line according to the environment temperature of the train in operation, the train bearing temperature and the mileage interval.
After the train bearing temperature threshold table is obtained, each threshold in the table is not necessarily completely accurate, and certain errors may exist. Therefore, in the embodiment of the invention, the threshold value adding coefficient can be set for the train bearing temperature threshold value in the train bearing temperature threshold value table, then the accuracy of the train bearing temperature threshold value before and after the threshold value adding coefficient is set is verified according to the environment temperature of the actual running train, the train bearing temperature and the located mileage interval, and the train bearing temperature threshold value is corrected according to the front and back comparison of the accuracy.
The threshold adding coefficient can be determined initially according to the experience of technicians, and in the subsequent data correction process, the threshold adding coefficient can be adjusted according to the calculation result of the accuracy.
The train bearing temperature early warning method provided by the embodiment of the invention further corrects the train bearing temperature upper limit threshold obtained through data analysis, reduces errors and improves the accuracy.
Based on any of the above embodiments, in an embodiment of the present invention, before step 201, the method further includes the following steps:
collecting the running data of the running train on the target line to generate an initial train running data set;
and processing the data in the initial train operation data set to obtain a train operation data set.
In the embodiment of the present invention, the jinghu line is used as the target line. The operation data of the train running on the target line can be acquired, and the operation data of part or all of the trains running on the target line in a time period can be acquired.
To ensure data integrity, the time period is a longer time range. For example, the time period includes at least one full year. In one embodiment, between 2018 and 2019, month 1 and month 1, and 2018 and month 10 and day 1, are used as a time period for data collection.
The collected train operation data at least comprises: the route information, the mileage information, the environmental temperature information, and the bearing temperature information of the train.
Due to the limitation of the external conditions of data acquisition, the data in the initial train operation data set generally has the phenomena of data error, data loss, data invalidation and the like, so the data in the initial train operation data set needs to be processed.
The processing includes data cleansing. Specifically, mileage information, environmental temperature information, and bearing temperature are filtered and cleaned. For example, data of wrong train number and invalid mileage, data of inconsistent mileage change and traveling direction, data of invalid GPS effective bit and negative mileage are filtered.
The processing further includes interpolating missing values in the sample data. The interpolation may be performed by means such as mean interpolation, median interpolation, mode interpolation, and nearest neighbor interpolation.
And after processing the data in the initial train operation data set, forming a final train operation data set by the processed data and the operation data.
As will be appreciated by those skilled in the art, train operation data includes train number, route, train number, time of origin, time of arrival, etc. And combining the train operation data with the data in the initial train operation data set to obtain a final train operation data set.
For example, in the embodiment of the present invention, one piece of data in the finally obtained train operation data set includes the following contents: the system comprises a line, a line number, a line type number, a train speed, mileage, real-time, a train model, a train id, a compartment number, a fresh air temperature code, a fresh air temperature name, a fresh air temperature, a 1-bit axle box bearing display _ code of a certain type of bearing, a 1-bit axle box bearing data _ code of a certain type of bearing, a 1-bit axle box bearing name of a certain type of bearing and a 1-bit axle box bearing temperature of a certain type of bearing.
According to the train bearing temperature early warning method provided by the embodiment of the invention, a good foundation is laid for subsequent data analysis by collecting a large amount of train operation data on a target line, the upper limit threshold of the train bearing temperature corresponding to a mileage interval and an environmental temperature can be obtained finally, and the problems of high false alarm rate and low accuracy rate of a single threshold alarm mode in the prior art are solved.
Based on any one of the above embodiments, fig. 3 is a schematic diagram of a train bearing temperature early warning device provided in an embodiment of the present invention, and as shown in fig. 3, the train bearing temperature early warning device provided in an embodiment of the present invention includes:
the early warning module 301 is configured to perform early warning on the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line.
The target route refers to a route where a train runs. In the embodiment of the present invention, the jinghu line is used as the target line. In other embodiments of the present invention, the target line may also be other lines, such as the national jingganglin, kyannineteen, and zhe gan line, or a foreign railway line.
The train bearing temperature threshold table of the target line comprises a plurality of train bearing temperature thresholds, wherein a first train bearing temperature threshold in the plurality of train bearing temperature thresholds uniquely corresponds to a condition that a train operates in a first ambient temperature interval and a first mile interval of the target line; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
According to the train bearing temperature threshold table of the target line, the bearing temperature of the train running on the target line can be early warned. Specifically, firstly, a train bearing temperature threshold value table is searched according to a mileage interval corresponding to the actually measured temperature of the train bearing and the environment temperature corresponding to the actually measured temperature of the train bearing to obtain a corresponding train bearing temperature upper limit threshold value, then, the actually measured temperature of the train bearing is compared with the train bearing temperature upper limit threshold value, and if the actually measured temperature of the train bearing is higher than the corresponding bearing temperature upper limit threshold value, an early warning signal is sent out.
The early warning device for the train bearing temperature provided by the embodiment of the invention realizes early warning and monitoring of the bearing temperature through the train bearing temperature threshold table, and because different train bearing temperature thresholds are determined in the train bearing temperature threshold table according to the mileage interval and the environment temperature interval, the problems of high false alarm rate and low accuracy rate of a single threshold warning mode in the prior art are solved.
Based on any one of the above embodiments, fig. 4 is a schematic diagram of a train bearing temperature early warning device provided in another embodiment of the present invention, and as shown in fig. 4, the train bearing temperature early warning device provided in another embodiment of the present invention includes:
the data dividing module 401 is configured to further divide the train operation data set of the target route according to the mileage interval and the environmental temperature interval to obtain a plurality of train operation data subsets; wherein the train operation data set of the target link includes a plurality of train operation data related to the operation of the train on the target link, and one train operation data includes at least: the method comprises the steps of obtaining route information, mileage information, environment temperature information and bearing temperature information of a train;
a train bearing temperature threshold generation module 402, configured to analyze a distribution condition of bearing temperature data in the train operation data subsets, and determine a train bearing temperature threshold corresponding to each train operation data subset according to the distribution condition;
a train bearing temperature threshold table generating module 403, configured to obtain a train bearing temperature threshold table of the target route according to the train bearing temperature threshold corresponding to each train operation data subset;
and the early warning module 404 is configured to perform early warning on the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line.
Specifically, when the data partitioning module 401 partitions the subsets, the data partitioning module partitions the train operation data by using the mileage interval and the environmental temperature interval of the target route as the partitioning dimensions. Taking the jinghu line according to the embodiment of the present invention as an example, the length of the jinghu line is about 1318 km, and assuming that every 1 km is a mileage interval, the jinghu line can be divided into 1318 mileage intervals. The data in the train operation data set of the jinghu line is divided according to the mileage interval, and can be divided into 1318 subsets.
After the train operation data is divided according to the mileage interval, the train operation data is further divided according to the environment temperature interval. Assuming that the environmental temperature of the Jinghuso line varies from-40 ℃ to 40 ℃, and 1 ℃ is taken as the length of the temperature interval, the number of the temperature intervals of the environmental temperature is 80. The data in 1318 subsets obtained in the previous step of dividing the data by mileage interval are subdivided into 80 temperature intervals, and finally 105440(1318 × 80) subsets can be generated. These subsets are the plurality of subsets of train operation data.
The train bearing temperature threshold generation module 402 needs to generate the train bearing temperature threshold according to the distribution of the train bearing temperature data.
One possible distribution of the train bearing temperature data is to exhibit a positive distribution, and another possible distribution of the train bearing temperature data is to exhibit a non-positive distribution.
For a subset of train operation data, if the train bearing temperature data in the subset presents a positive distribution, the upper threshold of the train bearing temperature can be calculated by using the positive distribution 3 sigma theorem. Specifically, first, the standard deviation and the expected value of all the train bearing temperatures in the current train operation data subset are calculated (the mathematical calculation mode of the expected value is the same as the mean value), the calculated standard deviation is σ 1, the calculated expected value is μ 1, and then the train bearing temperature upper limit threshold corresponding to the train operation data subset is μ 1+3 σ 1.
For a subset of train operation data, if the train bearing temperature data within the subset exhibits a non-positive distribution, the Chebyshev theorem can be used to calculate the upper threshold value of the train bearing temperature. For example, first, in a current train operation data subset, calculating a standard deviation and an expected value of all train bearing temperatures (the mathematical calculation mode of the expected value is the same as the mean value), keeping the calculated standard deviation as σ 2, and keeping the calculated expected value as μ 2, wherein the upper limit threshold of the train bearing temperature corresponding to the train operation data subset is μ 2+ k σ 2; wherein, the size of k can be set according to the precision requirement.
According to the early warning device for the train bearing temperature, provided by the embodiment of the invention, a large amount of train operation data is divided into a plurality of subsets according to the mileage interval and the environment temperature, the distribution condition of the train bearing temperature in the train operation data is analyzed in each subset, and the standard deviation and the mean value of the train bearing temperature data are solved through the positive-over distribution theory or the Chebyshev theorem, so that the upper limit threshold of the train bearing temperature is obtained, the early warning monitoring of the bearing temperature is realized, and the problems of high false alarm rate and low accuracy rate of a single-threshold warning mode in the prior art are solved.
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)510, a communication Interface (Communications Interface)520, a memory (memory)530 and a communication bus 540, wherein the processor 510, the communication Interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may call logic instructions in memory 530 to perform the following method: early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the train bearing temperature threshold table of the target link comprises a plurality of train bearing temperature thresholds, a first train bearing temperature threshold of the plurality of train bearing temperature thresholds uniquely corresponding to a bearing temperature at which the train operates within a first ambient temperature interval and within a first mile interval of the target link; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the method provided by the foregoing embodiments, for example, including: early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the train bearing temperature threshold table of the target link comprises a plurality of train bearing temperature thresholds, a first train bearing temperature threshold of the plurality of train bearing temperature thresholds uniquely corresponding to a bearing temperature at which the train operates within a first ambient temperature interval and within a first mile interval of the target link; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The early warning method for the temperature of the train bearing is characterized by comprising the following steps:
early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the content of the first and second substances,
the train bearing temperature threshold table of the target line comprises a plurality of train bearing temperature thresholds, wherein a first train bearing temperature threshold of the plurality of train bearing temperature thresholds uniquely corresponds to a bearing temperature of a train operating within a first ambient temperature interval and within a first mile interval of the target line; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
2. The early warning method for the train bearing temperature according to claim 1, wherein before the early warning for the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line, the method further comprises:
further dividing the train operation data set of the target line according to the mileage interval and the environment temperature interval to obtain a plurality of train operation data subsets; wherein the train operation data set of the target link includes a plurality of train operation data related to the operation of the train on the target link, and one train operation data includes at least: the method comprises the steps of obtaining route information, mileage information, environment temperature information and bearing temperature information of a train;
analyzing the distribution condition of the bearing temperature data in the plurality of train operation data subsets, and determining the train bearing temperature threshold corresponding to each train operation data subset according to the distribution condition;
and obtaining a train bearing temperature threshold table of the target line according to the train bearing temperature threshold corresponding to each train operation data subset.
3. The train bearing temperature early warning method according to claim 2, wherein the determining the train bearing temperature threshold corresponding to each train operation data subset according to the distribution further comprises:
when the train bearing temperature in the train operation data subset presents positive distribution, calculating the upper limit threshold value of the train bearing temperature according to the positive distribution 3 sigma theorem;
or when the train bearing temperature in the train operation data subset shows non-positive distribution, calculating the upper limit threshold of the train bearing temperature according to the Chebyshev theorem.
4. The train bearing temperature early warning method according to claim 2, wherein the obtaining of the train bearing temperature threshold table of the target route according to the train bearing temperature threshold corresponding to each train operation data subset comprises:
arranging the train bearing temperature threshold values corresponding to the train operation data subsets according to the environment temperature interval and the mileage interval of the target line to obtain a train bearing temperature threshold value table of the target line;
and correcting the train bearing temperature threshold value in the train bearing temperature threshold value table of the target line according to the environment temperature of the train in operation, the train bearing temperature and the mileage interval.
5. The early warning method for the train bearing temperature according to claim 1, wherein the early warning for the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line comprises:
searching the train bearing temperature threshold value table according to a mileage interval corresponding to the actually measured temperature of the train bearing and the environment temperature corresponding to the actually measured temperature of the train bearing to obtain a corresponding train bearing temperature upper limit threshold value;
and comparing the actually measured temperature of the train bearing with the searched upper limit threshold value of the temperature of the train bearing, and sending out an early warning signal when the actually measured temperature of the train bearing is higher than the upper limit threshold value of the temperature of the bearing.
6. The train bearing temperature early warning method according to any one of claims 2 to 5, wherein before the step of further dividing the train operation data set of the target route into a plurality of train operation data subsets according to a mileage interval and an ambient temperature interval, the method further comprises:
collecting the running data of the running train on the target line to generate an initial train running data set;
processing data in the initial train operation data set to obtain a train operation data set; wherein the processing comprises one or more of: filtering, cleaning and missing value interpolation.
7. The utility model provides a warning device of train bearing temperature which characterized in that includes:
the early warning module is used for early warning the bearing temperature of the train running on the target line according to the train bearing temperature threshold table of the target line; wherein the content of the first and second substances,
the train bearing temperature threshold table of the target line comprises a plurality of train bearing temperature thresholds, wherein a first train bearing temperature threshold in the plurality of train bearing temperature thresholds uniquely corresponds to a condition that a train operates in a first ambient temperature interval and a first mile interval of the target line; the first train bearing temperature threshold is one of the plurality of train bearing temperature thresholds, the first environment temperature interval is one of all environment temperature intervals, and the first mileage interval is one of all mileage intervals of the target route.
8. The early warning device of train bearing temperature of claim 7, further comprising:
the data dividing module is used for further dividing the train operation data set of the target line according to the mileage interval and the environment temperature interval to obtain a plurality of train operation data subsets; wherein the train operation data set of the target link includes a plurality of train operation data related to the operation of the train on the target link, and one train operation data includes at least: the method comprises the steps of obtaining route information, mileage information, environment temperature information and bearing temperature information of a train;
the train bearing temperature threshold generation module is used for analyzing the distribution condition of the bearing temperature data in the plurality of train operation data subsets and determining the train bearing temperature threshold corresponding to each train operation data subset according to the distribution condition;
and the train bearing temperature threshold table generating module is used for obtaining the train bearing temperature threshold table of the target line according to the train bearing temperature threshold corresponding to each train operation data subset.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor when executing the program performs the steps of the method of warning of train bearing temperature as claimed in any one of claims 1 to 6.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method for warning of train bearing temperature according to any one of claims 1 to 6.
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