CN-117719553-B - Shaft temperature early warning and monitoring method and device, electronic equipment and readable storage medium

CN117719553BCN 117719553 BCN117719553 BCN 117719553BCN-117719553-B

Abstract

The disclosure provides a method, a device, electronic equipment and a storage medium for early warning and monitoring of shaft temperature, which can be applied to the technical field of rail transit. The shaft temperature early warning and monitoring method comprises the steps of analyzing a shaft temperature data set from a sensor to obtain temperature rise rate data, determining a time interval from a first temperature rise rate to a second temperature rise rate according to the temperature rise rate data, determining shaft temperature data corresponding to the time interval in the shaft temperature data set as jump data under the condition that the length of the time interval is smaller than or equal to a preset threshold value, and carrying out early warning and monitoring according to other shaft temperature data except the jump data in the shaft temperature data set.

Inventors

GONG HAIBIN
YANG YUNBO
LI ZHIGUO
ZHAO WENJIAN
LIANG YANJUN
WU JIJIANG
ZHAO MIN
SHI XIAOLONG
LI MAOYUAN

Assignees

中车青岛四方机车车辆股份有限公司

Dates

Publication Date: 20260508
Application Date: 20231219

Claims (8)

1. A method for early warning and monitoring of shaft temperature, which is applied to vehicle operation detection, the method comprising: Analyzing a shaft temperature data set from a sensor to obtain temperature rise rate data; determining a time interval from a first temperature rise rate to a second temperature rise rate according to the temperature rise rate data, wherein one of the first temperature rise rate and the second temperature rise rate is a positive temperature rise rate used for prejudging that the vehicle can normally run, and the other is a maximum negative temperature rise rate obtained according to historical jump data statistics; when the length of the time interval is smaller than or equal to a preset threshold value, determining the shaft temperature data corresponding to the time interval in the shaft temperature data set as jump data; performing early warning monitoring according to other shaft temperature data except the jump data in the shaft temperature data set; determining the shaft temperature data corresponding to the time interval in the shaft temperature data set as abnormal data under the condition that the length of the time interval is larger than the preset threshold value; and under the condition that the performance state of the sensor is normal, early warning is carried out on the abnormal data.
2. The method of claim 1, wherein the determining a time interval from a first rate of temperature rise to a second rate of temperature rise based on the rate of temperature rise data comprises: Determining a first moment corresponding to the first temperature rise rate and a second moment corresponding to the second temperature rise rate in monotonically changing temperature rise rate data; And taking the time interval between the first time and the second time as the time interval for converting the first temperature rise rate into the second temperature rise rate.
3. The method of claim 1, wherein analyzing the shaft temperature dataset from the sensor to obtain temperature rise rate data comprises: according to the shaft temperature data at different moments in the shaft temperature data set, calculating the temperature change rate of each moment relative to the previous moment, and obtaining temperature rise rate initial data; And carrying out smoothing treatment on the initial data of the temperature rise rate to obtain the data of the temperature rise rate.
4. The method of claim 1, wherein the shaft temperature dataset is a shaft temperature dataset of an axle box, a gearbox, or a motor bearing, the method further comprising: acquiring historical jump data and historical abnormal data which are consistent with the mechanical characteristics of the axle box, the gear box or the motor bearing; and updating the preset threshold according to the historical jump data and the historical abnormal data.
5. The method of claim 1 or 4, wherein the preset threshold is 30-60 s.
6. An axle temperature early warning monitoring device is applied to vehicle operation detection, and the device includes: The analysis module is used for analyzing the shaft temperature data set from the sensor to obtain temperature rise rate data; The first determining module is used for determining a time interval from a first temperature rise rate to a second temperature rise rate according to the temperature rise rate data, wherein one of the first temperature rise rate and the second temperature rise rate is a positive temperature rise rate used for prejudging that the vehicle can normally run, and the other is a maximum negative temperature rise rate obtained according to historical jump data statistics; A second determining module for determining the shaft temperature data corresponding to the time interval in the shaft temperature data set as jump data when the length of the time interval is less than or equal to a preset threshold value, and The early warning monitoring module is used for carrying out early warning monitoring according to other shaft temperature data except the jump data in the shaft temperature data set; a third determining module, configured to determine, as abnormal data, shaft temperature data corresponding to the time interval in the shaft temperature dataset when the length of the time interval is greater than a preset threshold; And the early warning module is used for carrying out early warning on the abnormal data under the condition that the performance state of the sensor is normal.
7. An electronic device, comprising: One or more processors; Storage means for storing one or more programs, Wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-5.
8. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-5.

Description

Shaft temperature early warning and monitoring method and device, electronic equipment and readable storage medium Technical Field The disclosure relates to the technical field of rail transit, in particular to a shaft temperature early warning and monitoring method and device, electronic equipment and a readable storage medium. Background At present, during the running process of the high-speed motor train unit, the temperature of an axle box, a gear box or a motor bearing (hereinafter referred to as the axle temperature) is increased along with the increase of friction force. In order to ensure the safety of vehicles and personnel, the system needs to perform early warning and monitoring on the shaft temperature so as to prompt the personnel to stop the operation of the vehicles in time and check and maintain the vehicles. However, in the process of realizing the disclosed concept, the inventor finds that at least the following problems exist in the related art, namely in the actual working state, false alarm is often caused by the non-actual fault temperature rise conditions such as sensor faults or poor contact of the acquisition line, and the running order of the motor train unit is influenced. Disclosure of Invention In view of the foregoing, the present disclosure provides improved shaft temperature warning monitoring methods, apparatus, devices, media, and program products. The first aspect of the disclosure provides a shaft temperature early warning and monitoring method, which comprises the steps of analyzing a shaft temperature data set from a sensor to obtain temperature rise rate data, determining a time interval from a first temperature rise rate to a second temperature rise rate according to the temperature rise rate data, determining shaft temperature data corresponding to the time interval in the shaft temperature data set to be jump data under the condition that the length of the time interval is less than or equal to a preset threshold value, and carrying out early warning and monitoring according to other shaft temperature data except the jump data in the shaft temperature data set. According to the embodiment of the disclosure, the method further comprises the steps of determining the shaft temperature data corresponding to the time interval in the shaft temperature data set as abnormal data when the length of the time interval is larger than a preset threshold value, and carrying out early warning on the abnormal data when the performance state of the sensor is normal. According to the embodiment of the disclosure, determining a time interval from a first temperature rise rate to a second temperature rise rate according to temperature rise rate data comprises determining a first moment corresponding to the first temperature rise rate and a second moment corresponding to the second temperature rise rate in temperature rise rate data which is monotonically changed, and taking the time interval between the first moment and the second moment as the time interval from the first temperature rise rate to the second temperature rise rate. According to the embodiment of the disclosure, the method is applied to vehicle operation detection, wherein one of the first temperature rise rate and the second temperature rise rate is a positive temperature rise rate used for predicting that the vehicle can normally operate, and the other is a maximum negative temperature rise rate obtained according to historical jump data statistics. According to the embodiment of the disclosure, the analysis of the shaft temperature data set from the sensor is carried out to obtain the temperature rise rate data, wherein the analysis comprises the steps of calculating the temperature change rate of each moment relative to the previous moment according to the shaft temperature data of different moments in the shaft temperature data set to obtain temperature rise rate initial data, and carrying out smoothing treatment on the temperature rise rate initial data to obtain temperature rise rate data. According to the embodiment of the disclosure, the shaft temperature data set is a shaft temperature data set of an axle box, a gear box or a motor bearing, the method further comprises the steps of acquiring historical jump data and historical abnormal data which are consistent with mechanical characteristics of the axle box, the gear box or the motor bearing, and updating a preset threshold according to the historical jump data and the historical abnormal data. According to the embodiment of the disclosure, the preset threshold is 30-60 s. A second aspect of the present disclosure provides an axle temperature warning and monitoring device, comprising: The analysis module is used for analyzing the shaft temperature data set from the sensor to obtain temperature rise rate data; the first determining module is used for determining a time interval from the first temperature rise rate to the second temperature rise rate according t