Temperature monitoring system and method for hub equipment

Abstract

This invention relates to a temperature monitoring system for a rotating drum device, comprising: a temperature sensor disposed on a bearing of a drum for detecting temperature data characterizing the bearing temperature, wherein the temperature sensor includes a temperature-sensing element and a threaded connection, the temperature sensor being configured to be fastened to the corresponding bearing, particularly the back of the bearing bush, by means of the threaded connection, and the temperature-sensing element of the temperature sensor being configured close to the heat-generating portion of the bearing, particularly the back of the bearing bush; a signal processing unit configured to be communicatively connected to the temperature sensor to acquire and process the temperature data; and a host computer configured to be communicatively connected to the signal processing unit to acquire the processed temperature data and predict bearing failures and / or vehicle failures based on the temperature data. Furthermore, this invention relates to a temperature monitoring method for a rotating drum device.

Description

Technical Field

[0001] This application generally relates to the field of temperature monitoring technology, and in particular to a temperature monitoring system and method for a rotating hub device. Background Technology

[0002] In the field of vehicle testing, dynamometers are an important tool used to simulate the driving conditions of vehicles under various operating conditions in order to evaluate the vehicle's power performance, braking performance, fuel economy, and the reliability of its components.

[0003] However, temperature monitoring of the bearings, especially the bushings, of the support rollers has always been a critical issue during the testing and operation of the rotating drum equipment. Currently, temperature monitoring mainly relies on periodic manual temperature checks, but this method has many shortcomings. On the one hand, manual temperature measurement cannot accurately reflect the actual temperature of the bushings and is prone to inaccurate results due to operational errors and environmental factors. On the other hand, manual temperature measurement cannot monitor temperature changes in real time, making it difficult to detect potential fault risks in a timely manner, and maintenance is often only carried out after severe wear events have occurred.

[0004] Rapidly rising bearing temperature can lead to thermal deformation, which in turn causes shaft misalignment. Shaft misalignment further results in uneven distribution of the bearing oil film, with reduced oil film thickness and increased oil film pressure in localized areas, thereby reducing the bearing's load-bearing capacity. With increasing temperature and uneven oil film distribution, bearing wear increases significantly, leading to localized plastic deformation of the journal and bearing surface. As wear intensifies, the bearing may experience fatigue and breakage. More seriously, roller jamming could cause the vehicle under test to veer off the rotating hub, resulting in a serious safety accident.

[0005] Therefore, developing a system that can monitor bearing temperature, especially bearing bush temperature, in real time and accurately is of great significance for early detection of potential faults, prevention of serious wear events, and ensuring the safety of the testing process. Summary of the Invention

[0006] Therefore, the purpose of this application is to provide a temperature monitoring system and method for a rotating hub device that can overcome at least one defect in the prior art.

[0007] According to a first aspect of this application, a temperature monitoring system for a rotating hub device is provided, the rotating hub device including a roller for a wheel of a vehicle under test and a bearing for supporting the roller, characterized in that the temperature monitoring system includes: a temperature sensor disposed on the bearing of the roller for detecting temperature data characterizing the bearing temperature, wherein the temperature sensor includes a temperature sensing element and a threaded connection, the temperature sensor being configured to be fastened to the corresponding bearing, particularly the back of the bearing bush, by means of the threaded connection, and the temperature sensing element of the temperature sensor being configured to be close to the heat-generating part of the bearing, particularly the back of the bearing bush; a signal processing unit configured to be communicatively connected to the temperature sensor to acquire temperature data and process the temperature data; and a host computer configured to be communicatively connected to the signal processing unit to acquire the processed temperature data and predict bearing failure and / or vehicle failure based on the temperature data.

[0008] In some embodiments, at least one temperature sensor is provided for each of the two bearings of each roller, and the host computer is configured to: compare the temperature data of the two bearings of each roller with a first temperature threshold to determine a first temperature comparison result; determine the temperature data difference between the two bearings of each roller and compare the temperature data difference with a second temperature threshold to determine a second temperature comparison result; and predict bearing failure and / or vehicle failure under test, especially the wear degree of the bearing bush and / or the deviation degree of the four-wheel alignment parameters, based on the first temperature comparison result and / or the second temperature comparison result.

[0009] In some embodiments, the host computer is configured to: take a first measure when the bearing failure risk level exceeds a first predetermined threshold and is lower than a second predetermined threshold, and take a second measure when the bearing failure risk level exceeds the second predetermined threshold; and / or take a third measure when the vehicle under test failure risk level exceeds a third predetermined threshold and is lower than a fourth predetermined threshold, and take a fourth measure when the vehicle under test failure risk level exceeds the fourth predetermined threshold, wherein the bearing failure risk level and / or the vehicle under test failure risk level are determined based on a first comparison result of temperature data with a first temperature threshold of different levels and / or a second comparison result based on the temperature data difference between the two bearings of the roller and a second temperature threshold of different levels.

[0010] In some embodiments, the temperature monitoring system further includes an ambient temperature sensor for detecting the current ambient temperature of the environment in which the hub device is located, wherein the host computer is configured to: acquire the current ambient temperature from the ambient temperature sensor, and adjust a first temperature threshold and / or a second temperature threshold based on the current ambient temperature.

[0011] In some embodiments, the host computer includes a display interface having temperature data areas corresponding one-to-one with temperature sensors. The host computer is configured to: generate a first notification signal when a bearing failure is predicted based on a first temperature comparison result and a second temperature comparison result; and determine a first presentation of the temperature data areas based on the first notification signal.

[0012] In some embodiments, the host computer is configured to: generate a second notification signal when a fault in the vehicle under test is predicted based on a first temperature comparison result and a second temperature comparison result; and determine a second presentation of the temperature data area that is different from the first presentation based on the second notification signal.

[0013] In some embodiments, the host computer is configured to generate a notification message based on a first notification signal and / or a second notification signal, the notification message including a fault description in voice and / or text form.

[0014] In some embodiments, the host computer is configured to send notification messages to designated communication devices and / or voice broadcasting devices.

[0015] In some embodiments, the notification message includes: the degree of wear of the bearing and a suggested solution associated with the degree of wear; and / or the degree of deviation of the four-wheel alignment parameters and a suggested solution associated with the degree of deviation.

[0016] In some embodiments, the host computer is configured to: generate a historical temperature curve based on historical temperature data; acquire test operation data for the vehicle under test; generate a temperature prediction curve based on the historical temperature curve and the test operation data; and predict bearing failure and / or vehicle failure based on the temperature prediction curve.

[0017] In some embodiments, the host computer is configured to: when a bearing failure and / or a vehicle under test failure is predicted based on a temperature prediction curve, correct the test run data to determine corrected test run data; generate a corrected temperature prediction curve based on historical temperature curves and the corrected test run data; when a bearing failure and / or a vehicle under test failure is no longer predicted based on the corrected temperature prediction curve, output the corrected test run data so that a test run can be performed based on the corrected test run data; and when a bearing failure and / or a vehicle under test failure is still predicted based on the corrected temperature prediction curve, continue to correct the test run data and generate a corrected temperature prediction curve until a bearing failure and / or a vehicle under test failure is no longer predicted.

[0018] In some embodiments, the temperature monitoring system is deployed to monitor multiple hub devices, wherein the temperature monitoring system includes a temperature sensor and a signal processing unit assigned to each hub device, and wherein the host computer is configured to communicate with each signal processing unit in order to predict bearing failures and / or vehicle failures associated with the respective hub devices based on temperature data.

[0019] In some embodiments, the signal processing unit includes one or more of the following modules: a signal amplification module; a signal filtering module; an analog-to-digital conversion module; a linearization processing module; an anomaly detection module; a calibration and compensation module; a temperature calculation module; a data storage module; and a data transmission module.

[0020] In some embodiments, the signal processing unit further includes a display configured to display an associated temperature sensor identifier and corresponding temperature data.

[0021] According to a second aspect of this application, a temperature monitoring method for a rotating hub device is provided. The rotating hub device includes rollers for wheels of a vehicle under test and bearings for supporting the rollers. At least one temperature sensor is provided for each of the two bearings of each roller. The temperature monitoring method comprises: acquiring temperature data from the temperature sensors; comparing the temperature data of the two bearings of each roller with a first temperature threshold to determine a first temperature comparison result; determining the temperature data difference between the two bearings of each roller and comparing the temperature data difference with a second temperature threshold to determine a second temperature comparison result; and predicting bearing failure and / or vehicle failure based on the first temperature comparison result and / or the second temperature comparison result, particularly the wear degree of the bearing bush and / or the deviation degree of the four-wheel alignment parameters.

[0022] In some embodiments, the temperature monitoring method includes: taking a first measure when the bearing failure risk level exceeds a first predetermined threshold and is lower than a second predetermined threshold, and taking a second measure when the bearing failure risk level exceeds the second predetermined threshold; and / or taking a third measure when the failure risk level of the vehicle under test exceeds a third predetermined threshold and is lower than a fourth predetermined threshold, and taking a fourth measure when the failure risk level of the vehicle under test exceeds the fourth predetermined threshold.

[0023] In some embodiments, the bearing failure risk level and / or the vehicle failure risk level are determined based on a first comparison of temperature data with a first temperature threshold of different levels and / or a second comparison of the temperature data difference between the two bearings of the roller with a second temperature threshold of different levels.

[0024] In some embodiments, the temperature monitoring method includes: acquiring the current ambient temperature from an ambient temperature sensor, and adjusting a first temperature threshold and / or a second temperature threshold based on the current ambient temperature.

[0025] In some embodiments, the temperature monitoring method includes: generating a first notification signal when a bearing failure is predicted based on a first temperature comparison result and a second temperature comparison result; determining a first presentation of a temperature data area based on the first notification signal; generating a second notification signal when a vehicle failure is predicted based on the first temperature comparison result and the second temperature comparison result; and determining a second presentation of the temperature data area that is different from the first presentation based on the second notification signal.

[0026] In some embodiments, the temperature monitoring method includes: generating a historical temperature curve based on historical temperature data; acquiring test operation data for the vehicle under test; generating a temperature prediction curve based on the historical temperature curve and the test operation data; and predicting bearing failure and / or vehicle failure based on the temperature prediction curve.

[0027] In some embodiments, the temperature monitoring method includes: when a bearing failure and / or a vehicle under test failure is predicted based on a temperature prediction curve, correcting test run data to determine corrected test run data; generating a corrected temperature prediction curve based on historical temperature curves and the corrected test run data; when a bearing failure and / or a vehicle under test failure is no longer predicted based on the corrected temperature prediction curve, outputting the corrected test run data so that a test run can be performed based on the corrected test run data; and when a bearing failure and / or a vehicle under test failure is still predicted based on the corrected temperature prediction curve, continuing to correct the test run data and generate a corrected temperature prediction curve until a bearing failure and / or a vehicle under test failure is no longer predicted. Attached Figure Description

[0028] The present application will now be described in more detail with reference to the accompanying drawings and specific embodiments. The schematic drawings are briefly described below:

[0029] Figure 1 A schematic diagram of a single-drum rotary hub device is shown.

[0030] Figure 2 A schematic diagram of a dual-drum hub device is shown.

[0031] Figure 3 A simplified schematic diagram of a temperature monitoring system according to some embodiments of this application is shown;

[0032] Figure 4 A simplified schematic diagram of the host computer's display interface is shown;

[0033] Figure 5A flowchart of a temperature monitoring method according to some embodiments of this application is shown. Detailed Implementation

[0034] The present application will now be described with reference to the accompanying drawings, which illustrate several embodiments of the present application. However, it should be understood that the present application can be presented in many different ways and is not limited to the embodiments described below; in fact, the embodiments described below are intended to make the disclosure of the present application more complete and to fully illustrate the scope of protection of the present application to those skilled in the art. It should also be understood that the embodiments disclosed herein can be combined in various ways to provide more additional embodiments.

[0035] In the various embodiments described, the same reference numerals or element names are used for the same elements, and the disclosure contained throughout the specification can be applied semantically to elements with the same reference numerals or element names. Furthermore, in the various embodiments, the number, implementation, and / or arrangement of elements are not limited to the examples shown, but other numbers, implementations, and / or arrangements can be selected according to actual needs.

[0036] In this document, the term “A or B” includes both “A and B” and “A or B”, rather than exclusively including only “A” or only “B”, unless otherwise specified.

[0037] In this document, the terms "illustrative" or "exemplary" mean "used as an example, instance, or illustration," and not as a "model" to be precisely copied. Any implementation described herein by example is not necessarily to be construed as preferred or advantageous over other implementations. Furthermore, this application is not limited to any stated or implied theory given in the foregoing technical field, background art, summary of the invention, or detailed description.

[0038] Additionally, terms such as “first,” “second,” etc., may be used in this document for reference purposes only and are not intended to be limiting. For example, unless the context clearly indicates otherwise, the words “first,” “second,” and other such numerical terms relating to structures or elements do not imply order or sequence.

[0039] Figure 1 and 2 Two exemplary hub devices 10 are schematically shown, wherein, Figure 1 A single-drum type hub device 10 is shown. Figure 2 A dual-roller hub device 10 is shown. It should be understood that the hub device 10 can be configured in various ways and is not limited to the illustrated embodiment.

[0040] In the field of vehicle testing, the swivel device 10 is an important tool used to simulate the driving conditions of a vehicle under various operating conditions in order to evaluate the vehicle's power performance, braking performance, fuel economy, and the reliability of its components.

[0041] The core components of the rotating hub device 10 may include a motor (not shown), a roller 1, and a bearing 2. In some embodiments, the motor may be connected to the drive shaft of the roller 1, for example, via a coupling. The coupling transmits the rotational power of the motor to the roller 1 while allowing for certain axial and radial misalignments to reduce mechanical stress caused by factors such as installation errors or thermal expansion during operation. The output shaft of the motor may be fixed to one end of the coupling via a key, for example, and the other end of the coupling may be connected to the drive shaft of the roller 1 via a key, for example. This connection method ensures efficient and reliable power transmission.

[0042] Roller 1 is the main component of the rotating hub device 10, used to support and drive the wheels of the vehicle 20 under test. Roller 1 is usually made of high-strength steel, and its surface is specially treated to improve wear resistance and coefficient of friction. Both ends of roller 1 can be supported on the frame by bearings 2, ensuring that roller 1 can rotate smoothly during operation.

[0043] Bearings 2 are installed at both ends of roller 1 to support the rotating shaft of roller 1. The inner ring of bearing 2 is tightly fitted with the drive shaft of roller 1, while the outer ring is fixed in the bearing housing of the frame. When using sliding bearings 2, the bearing bush is an important component of bearing 2, typically made of wear-resistant materials such as bronze or Babbitt metal. The main function of the bearing bush is to reduce friction and wear between the journal and the bearing housing, while providing good support and guidance. The working principle of the bearing bush is based on lubrication and tribology. During mechanical operation, a lubricating oil film forms on the surface of the bearing bush, transforming the direct contact between the shaft and the bearing housing into fluid friction, thereby reducing friction and wear.

[0044] When the motor starts, power is transmitted to the drive shaft of roller 1 via a coupling, causing roller 1 to rotate. The rotation of roller 1 simulates the vehicle's driving state on the road through contact with the wheels of the vehicle under test 20. Bearing 2 and its bushings play a crucial supporting and lubricating role throughout the process, ensuring the smooth and efficient operation of roller 1. This connection between the motor, roller 1, bearing 2, and bushings ensures that the rotating hub device 10 can provide accurate and reliable test data when simulating vehicle driving conditions, while also guaranteeing the safety and stability of the equipment's operation.

[0045] However, as the testing of the rotating hub 10 progresses, the bearing temperature, especially the bearing bush temperature, may rise rapidly, leading to thermal deformation of the bearing 2, particularly the bearing bush. With increasing temperature and uneven oil film distribution, the wear of the bearing bush will increase significantly, causing localized plastic deformation of the journal and bearing bush surface. As wear intensifies, the bearing bush may experience fatigue and breakage. More seriously, jamming of the roller 1 could cause the vehicle under test 20 to be ejected from the rotating hub 10, resulting in a serious safety accident.

[0046] This application proposes a temperature monitoring system 100 for a hub device 10, particularly multiple hub devices 10, which can monitor the bearing 2, especially the bearing shell temperature, in real time and accurately, so as to predict or detect potential failures in advance, avoid serious wear events, and ensure the safety of the testing process.

[0047] Figure 3 A schematic block diagram of a temperature monitoring system 100 for a hub device 10, and in particular a plurality of hub devices 10, according to some embodiments of this application is shown. Figure 3 As shown, the temperature monitoring system 100 may include: a temperature sensor 30 provided to the bearing 2 of the roller 1 of the corresponding rotating device 10; a signal processing unit 40 communicatively connected to the temperature sensor 30; and at least one host computer 50.

[0048] To monitor the temperature of the bearing 2, especially the bearing shell, in real time and accurately, the temperature sensor 30 may include a temperature-sensing element and a threaded connection. The temperature sensor 30 may be configured to be fastened to the corresponding bearing 2, especially the back of the bearing shell, by means of the threaded connection, and the temperature-sensing element of the temperature sensor 30 may be configured to be close to the heat-generating part of the bearing 2, especially the back of the bearing shell. Advantageously, at least one temperature sensor 30 may be provided for each of the two bearings 2 of each roller 1 (one bearing 2 on each side), thereby providing a comprehensive understanding of the temperature of the two bearings 2 of the roller 1, in order to provide more data support for the prediction of bearing failure and / or vehicle failure under test.

[0049] The signal processing unit 40 can advantageously be configured as a local controller. That is, at least one signal processing unit 40 can be deployed at each hub device 10. The signal processing unit 40 can establish a communication connection with the associated temperature sensor 30 via wired and / or wireless communication. In some embodiments, the signal processing unit 40 can establish a communication connection with the associated temperature sensor 30 via a hard wire or cable. In some embodiments, the signal processing unit 40 can establish a communication connection with the associated temperature sensor 30 via wireless communication such as radio frequency or Bluetooth.

[0050] In some embodiments, the signal processing unit 40 may include a signal amplification module. The signal output by the temperature sensor 30 is typically weak, thus requiring a signal amplification module to amplify the signal for subsequent processing. In some embodiments, the signal processing unit 40 may include a signal filtering module to remove noise and interference signals, improving signal quality and ensuring the accuracy of subsequent processing. In some embodiments, the signal processing unit 40 may include an analog-to-digital conversion module. If the temperature sensor 30 outputs an analog signal, it needs to be converted into a digital signal so that the host computer 50 can process it. In some embodiments, the signal processing unit 40 may include a linearization module to linearize certain types of temperature sensors 30 (such as thermocouples or thermistors) to convert the nonlinear relationship between temperature and the sensor output signal into a linear relationship, facilitating calculation and reading. In some embodiments, the signal processing unit 40 may include an anomaly detection module, which may also detect anomalies, such as whether the temperature exceeds a set range or whether the signal is abnormal, to provide timely alarms or take appropriate measures. In some embodiments, the signal processing unit 40 may include a calibration and compensation module. In practical applications, calibration and temperature compensation may be necessary to improve measurement accuracy, especially under changing environmental conditions. In some embodiments, the signal processing unit 40 may include a temperature calculation module that calculates the actual temperature value based on the characteristics of the sensor and the output signal, which may involve looking up a table or using an algorithm for conversion. In some embodiments, the signal processing unit 40 may include a data storage module that stores the processed temperature value in local memory for later use or data logging. In some embodiments, the signal processing unit 40 may include a data transmission module that sends the processed temperature value to a host computer 50 for remote monitoring or further analysis. In some embodiments, the signal processing unit 40 may include a display configured to display the associated temperature sensor 30 identifier and the corresponding temperature data.

[0051] Of particular advantage, since the signal processing unit 40 is deployed as a local controller at the hub equipment 10, when the bearing temperature monitored by the temperature sensor 30 exceeds the set range or an abnormal signal occurs, a local warning can be issued via acoustic and / or visual alarms. This allows for the timely detection of potential fault risks on-site and the implementation of appropriate measures.

[0052] Particularly advantageously, the temperature monitoring system 100 may also include an ambient temperature sensor. Specifically, one or more ambient temperature sensors can be provided for each hub device 10, based on which the temperature of the environment in which the hub device 10 is located can be accurately determined. The signal processing unit 40 can be communicatively connected to the ambient temperature sensor so that the ambient temperature can be applied within different modules. In some embodiments, the anomaly detection module can adjust the temperature set range based on the ambient temperature. In some embodiments, the calibration and compensation module can perform calibration and temperature compensation based on the ambient temperature. In some embodiments, the temperature calculation module can invoke an adapted lookup table or algorithm based on the ambient temperature.

[0053] The host computer 50 typically refers to a computer or remote server used to monitor and manage the temperature monitoring system 100. The host computer 50 can establish a communication connection with the corresponding signal processing unit 40 via wired and / or wireless communication to acquire processed temperature data and predict bearing failures and / or vehicle failures based on the temperature data. More specifically, the host computer 50 can estimate the probability or risk level of bearing failure in the corresponding roller 1's bearing 2, and / or the probability or risk level of failure in the vehicle under test 20, based on the temperature data. When the probability or risk level of bearing failure exceeds a predetermined threshold, the host computer 50 can take appropriate measures.

[0054] Particularly advantageously, the host computer 50 can be configured to take a first measure when the probability of bearing 2 failing, or the degree of bearing failure risk, exceeds a first predetermined threshold but is below a second predetermined threshold, and to take a second measure when the probability of bearing 2 failing, or the degree of bearing failure risk, exceeds the second predetermined threshold. Bearing failure may, for example, involve the degree of wear of bearing 2, particularly the wear of the bearing bush.

[0055] Advantageously, the host computer 50 can be configured to take a third measure when the probability of a fault in the vehicle under test 20, or the degree of fault risk, exceeds a third predetermined threshold but is below a fourth predetermined threshold, and to take a fourth measure when the probability of a fault in the vehicle under test 20, or the degree of fault risk, exceeds the fourth predetermined threshold. The fault in the vehicle under test may involve, for example, wheel alignment faults, such as deviations in four-wheel alignment parameters. Deviations in four-wheel alignment parameters involve deviations between the following parameters and set parameters: caster angle, camber angle, sag angle, and / or toe angle.

[0056] Particularly advantageously, the degree of bearing failure risk and / or the degree of vehicle failure risk can be determined based on a first comparison of temperature data with temperature thresholds of different levels and / or based on a second comparison of the temperature data difference between two bearings 2 of a roller 1 with temperature thresholds of different levels.

[0057] In some embodiments, the host computer 50 can be configured to: compare the temperature data of the two bearings 2 of each roller 1 with a first temperature threshold to determine a first temperature comparison result; determine the temperature data difference between the two bearings 2 of each roller 1 and compare the temperature data difference with a second temperature threshold to determine a second temperature comparison result; and predict bearing failure and / or vehicle failure under test based on the first temperature comparison result and / or the second temperature comparison result, especially the wear degree of the bearing bush and / or the deviation degree of the four-wheel alignment parameters. Typically, the temperature data difference between the two bearings 2 of each roller 1 should be within a certain range. Temperature data exceeding a certain range may be closely related to deviations in the four-wheel alignment parameters. Such vehicles under test 20 with four-wheel alignment parameter deviations may experience accelerated wear of the bearings 2, thus requiring timely detection and intervention, such as suspending the test or correcting the four-wheel alignment parameter deviations.

[0058] Particularly advantageously, the host computer 50 can also be configured to acquire the current ambient temperature from an ambient temperature sensor and adjust a first temperature threshold and / or a second temperature threshold based on the current ambient temperature. This allows for accurate and robust predictions, avoiding erroneous predictions due to changes in ambient temperature.

[0059] In some embodiments, the host computer 50 may include a display interface 52, which may have a temperature data area T corresponding to the temperature sensor 30. For example... Figure 4 As shown, the display interface 52 exemplarily displays the bearing temperature monitoring status of the two twin-drum hub devices 10.

[0060] In some embodiments, the host computer 50 may be configured to: generate a first notification signal when a bearing failure is predicted based on a first temperature comparison result and a second temperature comparison result; and determine a first presentation of the temperature data area T based on the first notification signal.

[0061] In some embodiments, the host computer 50 is configured to: generate a second notification signal when a fault in the vehicle under test is predicted based on a first temperature comparison result and a second temperature comparison result; and determine a second presentation of the temperature data area T that is different from the first presentation based on the second notification signal.

[0062] In some embodiments, the host computer 50 may be configured to generate a notification message based on a first notification signal and / or a second notification signal, the notification message including a fault description in voice and / or text form. Preferably, the host computer 50 is configured to send the notification message to a designated communication device and / or voice broadcasting device.

[0063] In some embodiments, the notification message includes: the degree of wear of the bearing and a suggested solution associated with the degree of wear; and / or the degree of deviation of the four-wheel alignment parameters and a suggested solution associated with the degree of deviation.

[0064] According to the present invention, the host computer 50 generates notification signals by analyzing temperature data, thereby realizing intelligent monitoring and fault early warning of equipment operating status. First, the host computer 50 can accurately predict bearing faults and vehicle faults based on a first temperature comparison result and a second temperature comparison result. This temperature change-based prediction mechanism improves the timeliness and accuracy of fault detection, helping to reduce potential equipment damage and downtime. Second, the temperature monitoring system 100 of the present invention can realize a multi-level notification system, that is, the generated first and second notification signals correspond to different fault predictions, thereby giving the system a hierarchical response capability in fault early warning. This design allows users to receive real-time notifications for different fault types, facilitating timely implementation of corresponding maintenance measures. Furthermore, the temperature monitoring system 100 of the present invention can achieve flexible data display: based on different notification signals, the host computer 50 can determine different presentation methods for the temperature data area T, providing intuitive data visualization. Through the differentiated display of the first and second presentations, users can intuitively understand the severity of various faults and related temperature data, thereby optimizing the fault handling process.

[0065] In some embodiments, the host computer 50 may be configured to: generate a historical temperature curve based on historical temperature data; acquire test operation data for the vehicle under test 20; generate a temperature prediction curve based on the historical temperature curve and the test operation data; and predict bearing failure and / or vehicle failure based on the temperature prediction curve.

[0066] In some embodiments, the host computer 50 may be configured to: when a bearing failure and / or a vehicle failure under test is predicted based on a temperature prediction curve, correct the test run data to determine corrected test run data; generate a corrected temperature prediction curve based on historical temperature curves and the corrected test run data; when a bearing failure and / or a vehicle failure under test is no longer predicted based on the corrected temperature prediction curve, output the corrected test run data so that a test run can be performed based on the corrected test run data; and when a bearing failure and / or a vehicle failure under test is still predicted based on the corrected temperature prediction curve, continue to correct the test run data and generate a corrected temperature prediction curve until a bearing failure and / or a vehicle failure under test is no longer predicted.

[0067] According to the present invention, the host computer 50 significantly improves the monitoring and prediction capabilities for equipment failures by analyzing historical temperature data, test operation data, and generated temperature prediction curves. First, by combining historical temperature curves with real-time test operation data, the host computer 50 can effectively predict bearing failures and / or vehicle failures under test. This data-driven prediction mechanism provides more accurate fault diagnosis and reduces the risk of unexpected equipment downtime due to abnormal temperatures. Second, when a failure is predicted, the host computer 50 can adjust the test operation data in a timely manner to avoid greater negative impacts on the rotating hub device 10, especially the bearing 2. Furthermore, after correcting the test operation data, the host computer 50 generates a corrected temperature prediction curve, thereby continuously evaluating the effectiveness of the fault prediction. When the corrected temperature prediction curve no longer indicates a fault, the system outputs the corrected data and executes subsequent test runs. This feedback optimization strategy ensures that the system maintains optimal performance in constantly changing environments, improving the flexibility and responsiveness of fault handling. Through the combined analysis of historical and real-time data, the host computer 50 can not only better predict failures but also optimize future operation and maintenance plans. This data-driven analysis method leads to higher equipment utilization and more scientific and rational maintenance strategies.

[0068] Figure 5 A schematic flowchart of a temperature monitoring method for a hub device 10 according to some embodiments of this application is shown. It should be understood that the temperature monitoring method can be implemented by means of the temperature monitoring system 100 of the present invention, and in particular, executed by a host computer 50 based on the temperature monitoring system 100.

[0069] like Figure 5 As shown, the temperature monitoring method may include the following steps:

[0070] S01: Acquire temperature data from temperature sensor 30;

[0071] S02: Compare the temperature data of the two bearings 2 of each roller 1 with the first temperature threshold to determine the first temperature comparison result;

[0072] S03: Determine the temperature data difference between the two bearings 2 of each roller 1 and compare the temperature data difference with a second temperature threshold to determine the second temperature comparison result;

[0073] S04: Based on the first temperature comparison result and / or the second temperature comparison result, predict bearing failure and / or vehicle failure under test, especially the wear degree of bearing shell and / or the deviation of four-wheel alignment parameters.

[0074] In some embodiments, the temperature monitoring method may further include: taking a first measure when the bearing failure risk level exceeds a first predetermined threshold and is lower than a second predetermined threshold, and taking a second measure when the bearing failure risk level exceeds the second predetermined threshold; and / or taking a third measure when the failure risk level of the vehicle under test exceeds a third predetermined threshold and is lower than a fourth predetermined threshold, and taking a fourth measure when the failure risk level of the vehicle under test exceeds the fourth predetermined threshold.

[0075] In some embodiments, the temperature monitoring method may further include: acquiring the current ambient temperature from an ambient temperature sensor, and adjusting a first temperature threshold and / or a second temperature threshold based on the current ambient temperature.

[0076] In some embodiments, the temperature monitoring method may further include: generating a first notification signal when a bearing failure is predicted based on a first temperature comparison result and a second temperature comparison result; determining a first presentation of temperature data area T based on the first notification signal; generating a second notification signal when a vehicle failure is predicted based on the first temperature comparison result and the second temperature comparison result; and determining a second presentation of temperature data area T that is different from the first presentation based on the second notification signal.

[0077] In some embodiments, the temperature monitoring method may further include: generating a historical temperature curve based on historical temperature data; acquiring test operation data for the vehicle under test 20; generating a temperature prediction curve based on the historical temperature curve and the test operation data; and predicting bearing failure and / or vehicle failure based on the temperature prediction curve.

[0078] In some embodiments, the temperature monitoring method may further include: when a bearing failure and / or a vehicle under test failure is predicted based on a temperature prediction curve, correcting the test run data to determine corrected test run data; generating a corrected temperature prediction curve based on historical temperature curves and the corrected test run data; when a bearing failure and / or a vehicle under test failure is no longer predicted based on the corrected temperature prediction curve, outputting the corrected test run data so that a test run can be performed based on the corrected test run data; and when a bearing failure and / or a vehicle under test failure is still predicted based on the corrected temperature prediction curve, continuing to correct the test run data and generate a corrected temperature prediction curve until a bearing failure and / or a vehicle under test failure is no longer predicted.

[0079] While specific embodiments of this application have been described in detail by way of examples, those skilled in the art should understand that the above examples are for illustrative purposes only and not for limiting the scope of this application. The various embodiments disclosed herein can be combined in any way without departing from the spirit and scope of this application. Those skilled in the art should also understand that various modifications can be made to the embodiments without departing from the scope and spirit of this application. The scope of this application is defined by the appended claims.

Claims

1. A temperature monitoring system (100) for a rotating hub device (10), the rotating hub device (10) comprising a roller (1) for a wheel of a vehicle (20) under test and a bearing (2) for supporting the roller (1), characterized in that, The temperature monitoring system (100) includes: A temperature sensor (30) is provided on the bearing (2) of the roller (1) for detecting temperature data characterizing the bearing temperature. The temperature sensor includes a temperature sensing element and a threaded connection. The temperature sensor is configured to be fastened to the corresponding bearing, especially the back of the bearing bush, by means of the threaded connection. The temperature sensing element of the temperature sensor is configured to be close to the heat-generating part of the bearing, especially the back of the bearing bush. A signal processing unit (40) is configured to communicate with a temperature sensor to acquire and process temperature data; A host computer (50) is configured to communicate with a signal processing unit to acquire processed temperature data and predict bearing failures and / or vehicle failures based on the temperature data.

2. The temperature monitoring system according to claim 1, characterized in that, At least one temperature sensor (30) is provided for each of the two bearings (2) of each roller (1), and the host computer (50) is configured to: The temperature data of the two bearings of each roller are compared with a first temperature threshold to determine the first temperature comparison result; The temperature data difference between the two bearings of each roller is determined and compared with a second temperature threshold to determine the second temperature comparison result; Based on the results of the first temperature comparison and / or the second temperature comparison, predict bearing failure and / or vehicle failure under test, especially the wear of the bearing shell and / or the degree of deviation of the four-wheel alignment parameters.

3. The temperature monitoring system according to claim 2, characterized in that, The host computer is configured as follows: The first measure is taken when the bearing failure risk exceeds a first predetermined threshold but is below a second predetermined threshold, and the second measure is taken when the bearing failure risk exceeds the second predetermined threshold; and / or When the fault risk level of the vehicle under test exceeds the third predetermined threshold but is lower than the fourth predetermined threshold, the third measure is taken; when the fault risk level of the vehicle under test exceeds the fourth predetermined threshold, the fourth measure is taken. The bearing failure risk level and / or the vehicle failure risk level are determined based on a first comparison of temperature data with a first temperature threshold of different levels and / or a second comparison of the temperature data difference between the two bearings of the roller with a second temperature threshold of different levels.

4. The temperature monitoring system according to claim 2 or 3, characterized in that, The temperature monitoring system further includes an ambient temperature sensor for detecting the current ambient temperature of the environment in which the hub device is located. The host computer is configured to acquire the current ambient temperature from the ambient temperature sensor and adjust a first temperature threshold and / or a second temperature threshold based on the current ambient temperature.

5. The temperature monitoring system according to claim 2 or 3, characterized in that, The host computer (50) includes a display interface (52) having temperature data areas (T) corresponding to the temperature sensors (30). The host computer is configured to: When a bearing failure is predicted based on the first temperature comparison result and the second temperature comparison result, a first notification signal is generated. The first presentation of the temperature data area is determined based on the first notification signal. Preferably, the host computer is configured as follows: When a fault is predicted in the vehicle under test based on the first temperature comparison result and the second temperature comparison result, a second notification signal is generated. The second presentation, which differs from the first presentation, is determined based on the second notification signal.

6. The temperature monitoring system according to claim 5, characterized in that, The host computer is configured to generate a notification message based on a first notification signal and / or a second notification signal, the notification message including a fault description in voice and / or text form. Preferably, the host computer is configured to send notification messages to designated communication devices and / or voice broadcasting devices; Preferably, the notification message includes: the degree of wear of the bearing and a suggested solution associated with that degree of wear; And / or the degree of deviation of the four-wheel alignment parameters and the solution recommendations associated with that degree of deviation.

7. The temperature monitoring system according to any one of claims 1 to 3, characterized in that, The host computer is configured to: Generate historical temperature curves based on historical temperature data; Acquire test run data for the vehicle under test; Temperature prediction curves are generated based on historical temperature curves and test run data, and these curves are used to predict bearing failures and / or vehicle failures.

8. The temperature monitoring system according to claim 7, characterized in that, The host computer is configured to: When bearing failure and / or vehicle failure are predicted based on temperature prediction curves, the test run data is corrected to determine the corrected test run data. A revised temperature prediction curve is generated based on historical temperature curves and revised test run data; When the corrected temperature prediction curve no longer predicts bearing failure and / or vehicle failure, corrected test run data is output so that test runs can be performed based on the corrected test run data. If bearing failure and / or vehicle failure are still predicted based on the corrected temperature prediction curve, continue to correct the test run data and generate a corrected temperature prediction curve until bearing failure and / or vehicle failure are no longer predicted.

9. The temperature monitoring system according to any one of claims 1 to 3, characterized in that, The temperature monitoring system is deployed to monitor multiple hub devices, wherein the temperature monitoring system includes a temperature sensor and a signal processing unit provided for each hub device, and wherein the host computer is configured to communicate with each signal processing unit in order to predict bearing failures and / or vehicle failures associated with the corresponding hub devices based on temperature data.

10. The temperature monitoring system according to any one of claims 1 to 3, characterized in that, The signal processing unit includes one or more of the following modules: a signal amplification module; a signal filtering module; an analog-to-digital conversion module; a linearization processing module; an anomaly detection module; a calibration and compensation module; a temperature calculation module; and a data storage module. Data transmission module, Preferably, the signal processing unit further includes a display configured to display an associated temperature sensor identifier and corresponding temperature data.

11. A temperature monitoring method for a rotating hub device, the rotating hub device comprising rollers for the wheels of a vehicle under test and bearings for supporting the rollers, wherein at least one temperature sensor is provided for each of the two bearings of each roller, characterized in that, The temperature monitoring method includes: Acquire temperature data from the temperature sensor; The temperature data of the two bearings of each roller are compared with a first temperature threshold to determine the first temperature comparison result; The temperature data difference between the two bearings of each roller is determined and compared with a second temperature threshold to determine the second temperature comparison result; Based on the results of the first temperature comparison and / or the second temperature comparison, predict bearing failure and / or vehicle failure under test, especially the wear of the bearing shell and / or the degree of deviation of the four-wheel alignment parameters.

12. The temperature monitoring method according to claim 11, characterized in that, The temperature monitoring method includes: The first measure is taken when the bearing failure risk exceeds a first predetermined threshold but is below a second predetermined threshold, and the second measure is taken when the bearing failure risk exceeds the second predetermined threshold; and / or When the fault risk level of the vehicle under test exceeds the third predetermined threshold but is lower than the fourth predetermined threshold, the third measure is taken; when the fault risk level of the vehicle under test exceeds the fourth predetermined threshold, the fourth measure is taken. The degree of bearing failure risk and / or the degree of vehicle failure risk are determined based on a first comparison of temperature data with a first temperature threshold of different levels and / or a second comparison of the temperature difference between the two bearings of the roller with a second temperature threshold of different levels. Preferably, the temperature monitoring method includes: acquiring the current ambient temperature from an ambient temperature sensor, and adjusting a first temperature threshold and / or a second temperature threshold based on the current ambient temperature. Preferably, the temperature monitoring method includes: When a bearing failure is predicted based on the first temperature comparison result and the second temperature comparison result, a first notification signal is generated. The first presentation of the temperature data area is determined based on the first notification signal. When a fault is predicted in the vehicle under test based on the first temperature comparison result and the second temperature comparison result, a second notification signal is generated. The second presentation, which differs from the first presentation, is determined based on the second notification signal.

13. The temperature monitoring method according to claim 11 or 12, characterized in that, The temperature monitoring method includes: Generate historical temperature curves based on historical temperature data; Acquire test run data for the vehicle under test; Temperature prediction curves are generated based on historical temperature profiles and test run data. These temperature prediction curves are then used to predict bearing failures and / or failures in the vehicle under test. Preferably, the temperature monitoring method includes: When bearing failure and / or vehicle failure are predicted based on temperature prediction curves, the test run data is corrected to determine the corrected test run data. A revised temperature prediction curve is generated based on historical temperature curves and revised test run data; When the corrected temperature prediction curve no longer predicts bearing failure and / or vehicle failure, corrected test run data is output so that test runs can be performed based on the corrected test run data. If bearing failure and / or vehicle failure are still predicted based on the corrected temperature prediction curve, continue to correct the test run data and generate a corrected temperature prediction curve until bearing failure and / or vehicle failure are no longer predicted.

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