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CN-117755345-B - High-speed railway running part working condition load recording system based on voiceprint characteristics

CN117755345BCN 117755345 BCN117755345 BCN 117755345BCN-117755345-B

Abstract

The application relates to a working condition load recording system of a high-speed rail running part based on voiceprint features, which relates to the field of high-speed rail running parts and comprises a host machine and a plurality of monitoring terminals for detecting hubs, wherein one monitoring terminal is arranged at a position opposite to one hub and is used for collecting sound and vibration generated by the corresponding hub in the running process so as to output sound detection signals and vibration detection signals, the host machine is arranged on the high-speed rail and is connected with the plurality of monitoring terminals and is used for analyzing the sound detection signals and the vibration detection signals so as to judge whether the hub generates abnormal noise and abnormal vibration in the running process of the high-speed rail, storing the generated abnormal detection data and transmitting the abnormal detection data to a data platform when the high-speed rail stops. The application can reduce the cost of monitoring the high-iron running part.

Inventors

  • LI SHAOYANG
  • YUAN HAO
  • LI XIAOHUAN

Assignees

  • 北京谛声科技有限责任公司

Dates

Publication Date
20260508
Application Date
20231221

Claims (8)

  1. 1. The working condition load recording system of the high-speed railway running part based on the voiceprint characteristics is characterized by comprising a host machine (1) and a plurality of monitoring terminals (2) for detecting hubs; the monitoring terminal (2) is arranged at a position opposite to one wheel hub, and the monitoring terminal (2) is used for collecting sound and vibration generated by the corresponding wheel hub in the driving process so as to output a sound detection signal and a vibration detection signal; The host machine (1) is arranged on the high-speed rail, is connected with a plurality of monitoring terminals (2) and is used for analyzing the sound detection signals and the vibration detection signals to judge whether different sounds and abnormal vibrations are generated by a hub in the running process of the high-speed rail, is used for storing generated abnormal detection data and transmitting the abnormal detection data to the data platform (4) when the high-speed rail stops; The host (1) comprises a GPS module (16), a speed monitoring unit (12), an analysis processing unit (14) and a storage unit (13); The GPS module (16) is used for positioning the position of the high-speed rail; the speed monitoring unit (12) is used for monitoring the running speed of the high-speed rail in real time; The storage unit (13) is used for storing a plurality of standard models, and each standard model corresponds to one vehicle type; The analysis processing unit (14) is connected with the storage unit (13), the speed monitoring unit (12) and the monitoring terminals (2) and is used for analyzing the running speed, the sound detection signal and the vibration detection signal marked at the same time according to a standard model, judging whether a wheel hub generates abnormal sound and abnormal vibration in the running process of the high-speed rail so as to generate abnormal detection data, and transmitting the abnormal detection data to the data platform (4) when the high-speed rail stops; The storage unit (13) is further configured to store the abnormality detection data; the analysis processing unit (14) is further configured to: acquiring sound data and vibration data of each hub, wherein the sound data and the vibration data carry a time identifier, a speed identifier, a positioning identifier and a hub number, and the positioning identifier comprises longitude, latitude and altitude; Dividing the sound data into a first static group and a first dynamic group according to the positioning identification and the time identification, and dividing the vibration data into a second static group and a second dynamic group; analyzing the data of the first static group and the data of the second static group according to the standard model to obtain a first analysis result of each hub; Determining static voiceprint and static vibration ripple of each hub according to the positioning mark and the speed mark, wherein the static voiceprint is generated when the hub is static, and the static vibration ripple is generated when the hub is static; analyzing the data of the first dynamic group and the data of the second dynamic group according to the static voiceprint, the static vibration ripple and the standard model to obtain a second analysis result of each hub; And generating abnormality detection data by combining the first analysis result and the second analysis result.
  2. 2. The high-speed rail running gear operating condition load recording system based on the voiceprint features of claim 1, wherein the analysis processing unit (14) is further configured to: the analyzing the data of the first dynamic group and the data of the second dynamic group according to the static voiceprint, the static vibration ripple and the standard model to obtain a second analysis result of each hub comprises the following steps: According to the static voiceprint, the static vibration ripple, the standard model, the sound data and the vibration data of the same hub, determining the environmental voiceprint and the environmental vibration ripple of the high-speed rail at different positions on a railway, wherein the environmental voiceprint is a voiceprint of an environment for the hub, and the environmental vibration ripple is a vibration ripple of the environment for the hub; selecting one sound data or one vibration data from the first dynamic group or the second dynamic group; selecting environmental voiceprint or environmental vibration ripple according to the selected positioning identifier of the sound data or vibration data and the hub number identifier; Analyzing the selected sound data or vibration data according to the standard model, the static voiceprint or the static vibration ripple and the environment voiceprint or the environment vibration ripple to obtain a judgment result, wherein the judgment result is used for reflecting whether abnormal sound or abnormal vibration is generated by the hub at a certain speed; and combining all the judgment results of the same hub to obtain a second analysis result.
  3. 3. The high-speed rail running gear operating condition load recording system based on the voiceprint features of claim 2, wherein the analysis processing unit (14) is further configured to: The determining the environmental voiceprint and the environmental vibration ripple of the high-speed rail at different positions on the railway according to the static voiceprint, the static vibration ripple, the standard model, the sound data and the vibration data of the same hub comprises: Selecting sound data and vibration data of the first N hubs; determining an environmental voiceprint reference value of each hub at each position according to the sound data, the static voiceprint and the standard model; taking the mode value in the environmental voiceprint reference value when each hub is positioned at the same position as the environmental voiceprint of the position; determining an environmental vibration ripple reference value of each hub at each position according to the vibration data, the static vibration ripple and the standard model; and taking the mode value in the environmental vibration ripple reference value when the hubs are positioned at the same position as the environmental vibration ripple of the position.
  4. 4. The high-speed rail running gear operating condition load recording system based on the voiceprint feature of claim 3, wherein the analysis processing unit (14) is further configured to: the method for determining the environmental voiceprint reference value of the hub at one position according to the sound data, the static voiceprint and the standard model comprises the following steps: filtering static voiceprint of the hub from the sound data, and voiceprint corresponding to the speed identifier of the sound data in the standard model to obtain the environmental voiceprint reference value; The method for determining the environmental vibration ripple reference value of the hub at one position according to the vibration data, the static vibration ripple and the standard model comprises the following steps: And filtering static vibration ripple of the hub from the vibration data, and vibration ripple corresponding to the speed identification of the vibration data in the standard model to obtain the environmental vibration ripple reference value.
  5. 5. The high-speed rail running gear operating condition load recording system based on the voiceprint features of claim 2, wherein the analysis processing unit (14) is further configured to: The analyzing the selected sound data or vibration data according to the standard model, the static voiceprint or the static vibration ripple, and the environmental voiceprint or the environmental vibration ripple, and obtaining a judgment result includes: Determining a target voiceprint according to the selected sound data, the static voiceprint of the corresponding hub and the environment voiceprint of which the positioning identification is consistent with that of the sound data; comparing the voiceprint consistent with the speed identifier of the sound data in the standard model with the target voiceprint to obtain a judging result; Determining target vibration waves according to the selected vibration data, the static vibration waves of the corresponding hubs and the environmental vibration waves with the positioning marks consistent with the positioning marks of the vibration data; and comparing the vibration ripple which is consistent with the speed mark of the vibration data in the standard model with the target vibration ripple to obtain a judging result.
  6. 6. The high-speed rail running gear operating condition load recording system based on the voiceprint feature of claim 5, wherein the analysis processing unit (14) is further configured to: the determining the target voiceprint according to the selected sound data, the static voiceprint of the corresponding hub and the environment voiceprint with the positioning identification consistent with the positioning identification of the sound data comprises the following steps: Filtering static voiceprints of the corresponding hubs from the selected sound data, and obtaining target voiceprints by the environment voiceprints with the positioning identification consistent with the positioning identification of the sound data; The determining the target vibration ripple according to the selected vibration data, the static vibration ripple of the corresponding hub and the environment vibration ripple with the positioning identification consistent with the positioning identification of the vibration data comprises the following steps: and filtering static vibration waves of the corresponding hubs from the selected vibration data, and obtaining the target vibration waves by using the environment vibration waves with the positioning marks consistent with the positioning marks of the vibration data.
  7. 7. The high-speed rail running gear operating condition load recording system based on the voiceprint features of claim 1, wherein the analysis processing unit (14) is further configured to: the dividing the sound data into a first static group and a first dynamic group according to the positioning identification and the time identification, and the dividing the vibration data into a second static group and a second dynamic group comprises: Determining the data which are the same in sea pull and continuous in the time mark in the sound data as a first static group, and determining the rest data in the sound data as a first dynamic group; and determining the data which are identical in sea-tangle and continuous in the time mark in the vibration data as a second static group, and determining the rest data in the vibration data as a second dynamic group.
  8. 8. The high-speed rail running gear operating condition load recording system based on the voiceprint features of claim 1, wherein the analysis processing unit (14) is further configured to: the determining the static voiceprint and the static vibration ripple of each hub according to the positioning identifier and the speed identifier comprises the following steps: Determining a voiceprint with a positioning mark as a designated position and a speed mark as zero in the sound data as a static voiceprint; And determining vibration waves with the positioning marks as designated positions and the speed marks as zero in the vibration data as static vibration waves.

Description

High-speed railway running part working condition load recording system based on voiceprint characteristics Technical Field The application relates to the field of high-speed railway running parts, in particular to a working condition load recording system of a high-speed railway running part based on voiceprint characteristics Background With the increasing development of high-speed rail technology, the running speed of high-speed rail is faster and faster. This makes the high-speed rail running at high speed inevitably seriously jeopardize railway driving safety once the high-speed rail fails, so as to cause serious loss. It can be seen that the fault detection of the running state of the high-speed rail is necessary. In the related art, each running part comprises four hubs, and each hub is provided with a monitoring device. The monitoring device is used for monitoring sound and vibration generated by the corresponding hub and analyzing the monitored sound and vibration to judge whether abnormal sound or abnormal vibration is generated by the hub or not, and further judge whether the hub has faults or not. Because a plurality of running parts are arranged on the whole row of high-speed rails, and each running part is provided with four monitoring devices, the cost for monitoring all the running parts of one row of high-speed rails is high. Disclosure of Invention In order to reduce the cost of monitoring the high-speed railway running part, the application provides a working condition load recording system of the high-speed railway running part based on voiceprint characteristics. The application provides a high-speed railway running part working condition load recording system based on voiceprint characteristics, which adopts the following technical scheme: a high-speed railway running part working condition load recording system based on voiceprint features comprises a host machine and a plurality of monitoring terminals for detecting hubs; The monitoring terminal is arranged at a position opposite to one wheel hub and is used for collecting sound and vibration generated by the corresponding wheel hub in the driving process so as to output a sound detection signal and a vibration detection signal; the host computer set up in on the high-speed railway, connect a plurality of monitor terminals for analysis sound detection signal and vibration detection signal, in order to judge whether there is wheel hub to produce abnormal sound and abnormal vibration in the travel of high-speed railway, be used for the storage unusual detection data of formation, and when high-speed railway berths will unusual detection data transmission to data platform. Through adopting above-mentioned technical scheme, monitoring terminal can gather the sound and the vibration that wheel hub produced in the process of traveling, and the host computer can carry out analysis to sound detection signal and vibration detection signal to judge whether high-speed railway has the sound and the vibration that wheel hub produced in the process of traveling. Compared with the related art, the application can respectively realize the acquisition function and the analysis function through two devices, thereby reducing the cost of monitoring the high-speed railway running part. In one possible implementation, the host comprises a GPS module, a speed monitoring unit, an analysis processing unit and a storage unit; The GPS module is used for positioning the position of the high-speed rail; The speed monitoring unit is used for monitoring the running speed of the high-speed rail in real time; the storage unit is used for storing a plurality of standard models, and each standard model corresponds to one vehicle type; The analysis processing unit is connected with the storage unit, the speed monitoring unit and the monitoring terminals and is used for analyzing the running speed, the sound detection signal and the vibration detection signal which are identified at the same time according to the standard model, judging whether a wheel hub generates abnormal sound and abnormal vibration in the running process of the high-speed rail so as to generate abnormal detection data, and transmitting the abnormal detection data to the data platform when the high-speed rail stops; The storage unit is also used for storing the abnormality detection data. In a possible implementation, the analysis processing unit is further configured to: Acquiring sound data and vibration data of each hub, wherein the sound data and the vibration data carry a time identifier, a speed identifier, a positioning identifier and a hub number, and the positioning identifier comprises positioning data comprising longitude, latitude and altitude; Dividing the sound data into a first static group and a first dynamic group according to the positioning identification and the time identification, and dividing the vibration data into a second static group and a second dynamic group; analyzing t