A monitoring method and system for a driving device

Abstract

The present invention relates to the technical field of drive devices, and in particular to a monitoring method and system for drive devices, the method comprising: fitting a plurality of acquired groups of monitoring data samples to obtain a plurality of key fitting functions, comparing the errors of each key fitting function and the plurality of groups of monitoring data samples based on the intersection points of curves corresponding to each two key fitting functions, judging whether to cut and bridge each two key fitting functions to obtain a target fitting function, constructing a vibration state prediction curve corresponding to the temperature of a given mechanical device and the vibration acceleration of a given drive device on the basis of the target fitting function, and determining the vibration state of the given drive device according to the real-time monitored temperature value and the vibration state prediction curve; the present invention can improve the accuracy and timeliness of vibration monitoring of the drive device by constructing a bridged target fitting function and reasonably transforming the parameters in the target fitting function.

Description

Technical Field

[0001] The present invention relates to the technical field of drive devices, and in particular to a monitoring method and system for a drive device. Background Art

[0002] At present, in the bulk material transportation process in port affairs, continuous transportation requires indispensable mechanical equipment such as dumpers, belt conveyors and ship loaders. As the core device of the mechanical equipment, the drive device can ensure the normal operation of the equipment. Therefore, it is necessary to monitor the working status of the drive device, such as the cantilever telescopic drive, cantilever pitch drive and cantilever belt drive of the ship loader. In the current monitoring method, various parameters of the equipment or drive device are collected when collecting data, and the collected data is transmitted to the server and displayed in real time on the web page. However, the existing monitoring method is to monitor and display each parameter separately, and the drive device is always vibrating during operation and the outdoor working environment is poor, which affects the monitoring stability of the vibration sensor. In addition, due to other factors such as resonance of the equipment and the device, it is easy to cause large monitoring errors or omissions in monitoring data, which affects the timely discovery of faults. Summary of the Invention

[0003] In response to the above technical problems, the present invention provides a monitoring method and system for a drive device, which can improve the accuracy and timeliness of vibration monitoring of the drive device by constructing a bridge target fitting function and reasonably transforming the parameters in the target fitting function.

[0004] According to a first aspect of the present invention, there is provided a method for monitoring a drive device, comprising the following steps:

[0005] A plurality of groups of monitoring data samples are obtained; each group of monitoring data samples includes a preset vibration acceleration value and a target temperature value of a given mechanical equipment.

[0006] According to a number of initial fitting functions screened from a preset function database, a number of groups of monitoring data samples are fitted to obtain a key fitting function after fitting corresponding to each initial fitting function.

[0007] Based on the intersection of the curves corresponding to each two key fitting functions, the error of each key fitting function and several groups of monitoring data samples are compared to determine whether to cut and bridge each two key fitting functions to obtain the target fitting function.

[0008] Based on the target fitting function and the pre-acquired relationship between the vibration acceleration of a given mechanical device and the vibration acceleration of a given drive device, a vibration state prediction curve corresponding to the temperature of the given mechanical device and the vibration acceleration of the given drive device is constructed; the given mechanical device and the given drive device are in a linkage relationship.

[0009] The real-time temperature value of a given mechanical equipment is monitored in real time. When the monitored real-time temperature value is greater than the preset temperature threshold, the vibration state of the given drive device is determined according to the vibration state prediction curve, and an early warning prompt is issued.

[0010] According to a second aspect of the present invention, a monitoring system for a drive device is provided, the monitoring system comprising:

[0011] The sample acquisition module is used to acquire several groups of monitoring data samples; each group of monitoring data samples includes a preset vibration acceleration value and a target temperature value of a given mechanical equipment.

[0012] The function fitting module is used to fit several groups of monitoring data samples according to several initial fitting functions screened from the preset function database, and obtain the key fitting function after fitting corresponding to each initial fitting function.

[0013] The function determination module is used to compare the error of each key fitting function with several groups of monitoring data samples based on the intersection points of the curves corresponding to each two key fitting functions, and determine whether to cut and bridge each two key fitting functions to obtain the target fitting function.

[0014] The curve construction module is used to construct a vibration state prediction curve corresponding to the temperature of the given mechanical equipment and the vibration acceleration of the given drive device based on the target fitting function and the pre-acquired relationship between the vibration acceleration of the given mechanical equipment and the vibration acceleration of the given drive device; the given mechanical equipment and the given drive device are in a linkage relationship.

[0015] The early warning sending module is used to monitor the real-time temperature value of a given mechanical equipment in real time. When the monitored real-time temperature value is greater than a preset temperature threshold, the vibration state of the given drive device is determined according to the vibration state prediction curve and an early warning prompt is issued.

[0016] The present invention has at least the following beneficial effects:

[0017] The present invention provides a monitoring method for a drive device. First, several groups of acquired monitoring data samples are fitted to obtain several key fitting functions. Based on the curve intersection points corresponding to each two key fitting functions, the errors of each key fitting function and the several groups of monitoring data samples are compared to determine whether to cut and bridge each two key fitting functions. That is, when the error is large, the surface fitting effect is poor, and it is necessary to adopt a bridging method for different curves to improve the quality of the fitted function, thereby improving the prediction accuracy of the fitting function, and then obtain a target fitting function. Based on the target fitting function, a vibration state prediction curve corresponding to the temperature of a given mechanical equipment and the vibration acceleration of a given drive device is constructed. By converting the parameters in the target fitting function, the corresponding vibration acceleration can be accurately obtained without directly measuring the given drive device, thereby solving the problem that the vibration acceleration of the drive device is difficult to measure or is not measured in a timely manner. Finally, the vibration state of the given drive device is determined according to the real-time monitored temperature value and the vibration state prediction curve, and then an early warning is issued, thereby improving the accuracy and timeliness of vibration monitoring of the drive device. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 This is a flow chart of a method for monitoring a drive device according to a first embodiment of the present invention;

[0020] Figure 2 This is a structural diagram of a monitoring system for a drive device provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention. Example 1

[0022] The first embodiment of the present invention provides a monitoring method for a driving device, such as Figure 1 As shown, the monitoring method includes the following steps:

[0023] S100, obtaining several groups of monitoring data samples; each group of monitoring data samples includes a preset vibration acceleration value and a target temperature value of a given mechanical equipment; it can be understood that: there are several preset vibration acceleration values.

[0024] Furthermore, several groups of monitoring data samples are obtained through the following steps:

[0025] S101 tests the mechanical equipment to be sampled at a preset ambient temperature using a plurality of preset vibration acceleration values. The test intervals between the different preset vibration acceleration values ​​are a first preset duration. In this embodiment, the preset ambient temperature is 25°C, but it can also be set based on the actual ambient temperature of the equipment. For example, when the temperature difference between winter and summer is large, the ambient temperature can be set separately for testing.

[0026] Specifically, using the preset vibration acceleration value to test the mechanical equipment to be sampled refers to assigning the preset vibration acceleration value to the mechanical equipment to be sampled multiple times in a row.

[0027] Furthermore, the first preset time length is set by those skilled in the art according to actual needs, with the purpose of obtaining the mechanical equipment to be sampled after cooling down before each test.

[0028] S102 , monitoring the temperature of the mechanical device to be sampled in real time within a second preset time period after the mechanical device to be sampled is tested at each preset acceleration; the second preset time period is shorter than the first preset time period.

[0029] S103 , taking the maximum temperature value monitored within the second preset time period corresponding to each preset vibration acceleration value as the target temperature value corresponding to the preset vibration acceleration value itself, so as to obtain several groups of monitoring data samples.

[0030] As mentioned above, after the mechanical equipment vibrates for a period of time, since the temperature has the characteristic of delayed response, the temperature changes are monitored in real time within the second preset time period, and the highest temperature is used as the required target temperature value. The next test is performed after the equipment cools down to avoid data impact between adjacent tests, which can improve the accuracy of temperature monitoring and make the sample data more reliable.

[0031] At step S200, several groups of monitoring data samples are fitted using several initial fitting functions selected from a preset function database to obtain a fitted key fitting function corresponding to each initial fitting function. Those skilled in the art may select the initial fitting functions based on actual needs. For example, if it is known that temperature and vibration acceleration are proportional, the selected initial fitting functions may include exponential functions, activation functions, or linear functions.

[0032] The process of fitting several sets of data by using a known fitting function is a prior art and will not be described in detail here.

[0033] S300 , based on the intersection points of the curves corresponding to each two key fitting functions, compare the errors of each key fitting function with several groups of monitoring data samples, and determine whether to cut and bridge each two key fitting functions to obtain the target fitting function.

[0034] Specifically, the following steps are used to determine whether to cut and bridge every two key fitting functions:

[0035] S301: Input the preset vibration acceleration values ​​in each set of monitoring data samples into each key fitting function to obtain several temperature prediction values ​​corresponding to each key fitting function. The difference between each temperature prediction value and the corresponding target temperature value is calculated to obtain the temperature mean and temperature dispersion corresponding to the several differences. In specific implementations, the temperature dispersion is calculated using the standard deviation.

[0036] S302: Calculate a function accuracy score for each key fitting function based on the temperature mean, temperature dispersion, and weights corresponding to the temperature mean and temperature dispersion. Those skilled in the art can set the weights corresponding to the temperature mean and temperature dispersion based on actual needs.

[0037] S303: When the maximum function accuracy score is still less than the preset score threshold, obtain several groups of key fitting functions where the corresponding curves have intersections, and determine to cut and bridge each group of key fitting functions obtained; the number of key fitting functions in each group of key fitting functions is 2.

[0038] As mentioned above, the function accuracy score calculated by the temperature mean and temperature dispersion can grasp the difference between the prediction effect of the key fitting function and the real data. When all scores are relatively small, it indicates that the fitting effect is poor. Therefore, it is necessary to use a bridging method for different curves to improve the quality of the fitting function and improve the prediction accuracy of the fitting function.

[0039] Furthermore, the target fitting function is obtained through the following steps:

[0040] S310: For any two key fitting functions in a set of key fitting functions, the two curves are segmented at the intersection of the curves corresponding to the two key fitting functions to obtain initial curve segments corresponding to the two key fitting functions. For example, the curve corresponding to one key fitting function is segmented into initial curve segment 1 and initial curve segment 2, and the curve corresponding to the other key fitting function is segmented into initial curve segment 3 and initial curve segment 4.

[0041] S320, obtaining a first curve accuracy score corresponding to each initial curve segment; the first curve accuracy score is obtained in the same manner as the function accuracy score; it can be understood that the first curve accuracy score is also obtained by calculating the difference mean and the temperature dispersion.

[0042] S330 : For two initial curve segments corresponding to the same independent variable range, determine the initial curve segment corresponding to the larger first curve accuracy score as the target curve segment corresponding to the independent variable range itself.

[0043] S340: Bridge the selected target curve segments to obtain bridged curves corresponding to two key fitting functions. For example, bridge the initial curve segment 1 corresponding to the first key fitting function and the initial curve segment 4 corresponding to the second key fitting function.

[0044] S350, calculate the second curve accuracy score corresponding to each curve to be screened, and obtain the target fitting function based on the two key fitting functions corresponding to the largest second curve accuracy score; it can be understood that: the target fitting function is a function defined according to the independent variable range, for example, when it is in the first independent variable range, the first key fitting function is used, and when it is in the second independent variable range, the other key fitting function is used.

[0045] As described above, by segmenting and bridging the curves corresponding to each pair of key fitting functions, multiple curves to be screened can be obtained, and the curve whose fitting effect is closest to the real data can be selected from them, thereby obtaining a target fitting function with higher prediction accuracy.

[0046] S400: Based on the target fitting function and the previously acquired relationship between the vibration acceleration of the given mechanical device and the vibration acceleration of the given drive device, a vibration state prediction curve corresponding to the temperature of the given mechanical device and the vibration acceleration of the given drive device is constructed; the given mechanical device and the given drive device are in a linked relationship. In a specific implementation, the relationship between the vibration acceleration of the given mechanical device and the vibration acceleration of the given drive device is obtained from device data, or a relationship curve between the two is fitted through testing.

[0047] Specifically, the vibration state prediction curve corresponding to the target temperature value of a given mechanical equipment and the vibration acceleration of a given drive device is constructed through the following steps:

[0048] S401, real-time monitoring of the vibration acceleration of a given mechanical device and the vibration acceleration of a given drive device, and fitting and constructing a relationship function between the vibration acceleration of the given mechanical device and the vibration acceleration of the given drive device; this can be understood as: obtaining the relationship function in the test phase.

[0049] S402: Replace corresponding parameters in the target fitting function based on the relationship function to obtain a vibration state prediction curve corresponding to the temperature of a given mechanical device and the vibration acceleration of a given drive device. For example, the independent variable in the target fitting function represents a target temperature value of the given mechanical device, the dependent variable in the relationship function represents the target temperature value of the given mechanical device, and the independent variable represents the vibration acceleration of the given drive device. By replacing the independent variables in the target fitting function, a vibration state prediction curve is obtained.

[0050] As described above, since the given drive device is inside the mechanical equipment or in a position that is difficult to measure, the relationship between the vibration acceleration of the given drive device and the temperature of the given mechanical equipment is constructed through the linkage relationship between the given drive device and the mechanical equipment. Through data conversion, the corresponding vibration acceleration can be accurately obtained without directly measuring the given drive device, thereby solving the problem of difficult and untimely measurement of the vibration acceleration of the drive device.

[0051] S500, real-time monitoring of the real-time temperature value of a given mechanical device, and when the monitored real-time temperature value is greater than a preset temperature threshold, determining the vibration state of a given drive device according to a vibration state prediction curve, and issuing an early warning prompt.

[0052] Specifically, determining the vibration state of a given driving device according to the vibration state prediction curve includes the following steps:

[0053] S501: When the real-time temperature value monitored is greater than a preset temperature threshold, a target vibration acceleration value of a given driving device corresponding to the real-time temperature value monitored is obtained from a vibration state prediction curve. Those skilled in the art may set the preset temperature threshold according to actual needs.

[0054] S502: Determine a target vibration acceleration interval corresponding to a target vibration acceleration value from a plurality of preset vibration acceleration intervals.

[0055] S503, determining the preset vibration state corresponding to the target vibration acceleration interval as the vibration state of the given driving device; each preset vibration acceleration interval corresponds to a preset vibration state, and the preset vibration state is one of mild vibration, moderate vibration and strong vibration; it can be understood that: a total of three preset vibration states are set.

[0056] As mentioned above, due to the delayed response of temperature, although the tested target vibration acceleration value is not the actual vibration acceleration value at the test time, but the vibration acceleration value before the test time, it can still indicate that higher and more frequent vibration acceleration values ​​appeared in a short period of time before the warning, which led to a substantial temperature rise. Therefore, although the determination of the vibration state and the sending of the warning prompt will be slightly delayed compared to the actual situation, it is still possible to issue a warning and prompt the staff relatively promptly.

[0057] Furthermore, the monitoring method further comprises the following steps:

[0058] S10, when the monitored real-time temperature value is greater than the preset temperature threshold, obtaining temperature value change curves corresponding to several temperature values ​​monitored within a third preset time period before the current moment.

[0059] S20: Send the temperature value change curve and warning prompt to the user end.

[0060] As mentioned above, when an abnormal temperature is detected, the previously monitored temperature value is also sent to provide the staff with temperature change information and understand the temperature rise trajectory, which is helpful for judging whether the temperature rises suddenly or slowly, and provides a reference for understanding the vibration condition and cause of the fault of the drive device.

[0061] In summary, the present invention provides a monitoring method for a drive device, which first fits several groups of acquired monitoring data samples to obtain several key fitting functions, compares the errors between each key fitting function and several groups of monitoring data samples based on the intersection of the curves corresponding to each two key fitting functions, and determines whether to cut and bridge each two key fitting functions, that is, when the error is large, the surface fitting effect is poor, and it is necessary to adopt a bridging method for different curves to improve the quality of the fitted function, thereby improving the prediction accuracy of the fitting function, and then obtain a target fitting function; on the basis of the target fitting function, a vibration state prediction curve corresponding to the temperature of a given mechanical equipment and the vibration acceleration of a given drive device is constructed, and by converting the parameters in the target fitting function, the corresponding vibration acceleration can be accurately obtained without directly measuring the given drive device, thereby solving the problem that the vibration acceleration of the drive device is difficult to measure or is not measured in a timely manner, and finally, the vibration state of the given drive device is determined according to the real-time monitored temperature value and the vibration state prediction curve, and then an early warning is issued, thereby improving the accuracy and timeliness of vibration monitoring of the drive device. Example 2

[0062] The second embodiment of the present invention provides a monitoring system for a driving device, such as Figure 2 As shown, the monitoring system includes:

[0063] The sample acquisition module 100 is used to acquire several groups of monitoring data samples; each group of monitoring data samples includes a preset vibration acceleration value and a target temperature value of a given mechanical equipment.

[0064] The function fitting module 200 is used to fit several groups of monitoring data samples according to several initial fitting functions screened from a preset function database, and obtain a fitted key fitting function corresponding to each initial fitting function.

[0065] The function determination module 300 is used to compare the error between each key fitting function and several groups of monitoring data samples based on the intersection points of the curves corresponding to each two key fitting functions, and determine whether to cut and bridge each two key fitting functions to obtain the target fitting function.

[0066] The curve construction module 400 is used to construct a vibration state prediction curve corresponding to the temperature of the given mechanical equipment and the vibration acceleration of the given driving device based on the target fitting function and the pre-acquired relationship between the vibration acceleration of the given mechanical equipment and the vibration acceleration of the given driving device; the given mechanical equipment and the given driving device are in a linkage relationship.

[0067] The early warning sending module 500 is used to monitor the real-time temperature value of a given mechanical equipment in real time, and when the monitored real-time temperature value is greater than a preset temperature threshold, the vibration state of the given drive device is determined according to the vibration state prediction curve, and an early warning prompt is issued.

[0068] It should be noted that the information interaction, execution process and other contents between the above modules are based on the same concept as the embodiment of the method of the present invention. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0069] Although some specific embodiments of the present invention have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for monitoring a driving device, characterized in that: The monitoring method comprises the following steps: Acquire several sets of monitoring data samples; each set of monitoring data samples includes a preset vibration acceleration value and a target temperature value of a given mechanical device; Fitting several groups of monitoring data samples according to several initial fitting functions screened from a preset function database to obtain a key fitting function after fitting corresponding to each initial fitting function; Based on the intersection of the curves corresponding to each two key fitting functions, the error of each key fitting function and several groups of monitoring data samples are compared to determine whether to cut and bridge each two key fitting functions to obtain the target fitting function; Based on the target fitting function and the pre-acquired relationship between the vibration acceleration of the given mechanical device and the vibration acceleration of the given drive device, a vibration state prediction curve corresponding to the temperature of the given mechanical device and the vibration acceleration of the given drive device is constructed; the given mechanical device and the given drive device are in a dynamic relationship at the intersection of the curves corresponding to the joint fitting function; The real-time temperature value of a given mechanical equipment is monitored in real time. When the monitored real-time temperature value is greater than the preset temperature threshold, the vibration state of the given drive device is determined according to the vibration state prediction curve, and an early warning prompt is issued.

2. The method for monitoring a driving device according to claim 1, wherein: Obtain several sets of monitoring data samples through the following steps: At a preset ambient temperature, the mechanical equipment to be sampled is tested using a plurality of preset vibration acceleration values; the test interval of the mechanical equipment to be sampled with different preset vibration acceleration values ​​is a first preset time length; Real-time monitoring of the temperature of the mechanical equipment to be sampled within a second preset time period after the mechanical equipment to be sampled is tested at each preset acceleration; The second preset duration is shorter than the first preset duration; The maximum temperature value monitored within the second preset time period corresponding to each preset vibration acceleration value is used as the target temperature value corresponding to the preset vibration acceleration value itself, so as to obtain several groups of monitoring data samples.

3. The method for monitoring a driving device according to claim 1, wherein: Determine whether to cut and bridge every two key fitting functions through the following steps: Input the preset vibration acceleration value in each set of monitoring data samples into each key fitting function to obtain several temperature prediction values ​​corresponding to each key fitting function, and calculate the difference between each temperature prediction value and the corresponding target temperature value to obtain the temperature mean and temperature dispersion corresponding to the several differences; The function accuracy score corresponding to each key fitting function is calculated based on the temperature mean value, temperature dispersion degree, and the weights corresponding to the temperature mean value and temperature dispersion degree respectively; When the maximum function accuracy score is still less than the preset score threshold, several groups of key fitting functions with corresponding curve intersections are obtained, and cutting and bridging are determined for each group of key fitting functions obtained; the number of key fitting functions in each group of key fitting functions is 2.

4. The method for monitoring a driving device according to claim 3, wherein: Obtain the target fitting function through the following steps: For two key fitting functions in any set of key fitting functions, the two curves are segmented at the intersection of the curves corresponding to the two key fitting functions to obtain the initial curve segments corresponding to the two key fitting functions; Obtaining a first curve accuracy score corresponding to each initial curve segment; the first curve accuracy score is obtained in the same manner as the function accuracy score; For two initial curve segments corresponding to the same independent variable range, the initial curve segment corresponding to the larger first curve accuracy score is determined as the target curve segment corresponding to the independent variable range itself; Bridge the selected target curve segments to obtain bridged curves to be screened corresponding to two key fitting functions; The second curve accuracy score corresponding to each curve to be screened is calculated, and a target fitting function is obtained based on the two key fitting functions corresponding to the maximum second curve accuracy score.

5. The method for monitoring a driving device according to claim 1, wherein: The vibration state prediction curve corresponding to the target temperature value of a given mechanical equipment and the vibration acceleration of a given drive device is constructed through the following steps: Real-time monitoring of the vibration acceleration of a given mechanical device and a given drive device, and fitting and constructing a relationship function between the vibration acceleration of the given mechanical device and the vibration acceleration of the given drive device; According to the relationship function, corresponding parameters in the target fitting function are replaced to obtain a vibration state prediction curve corresponding to the temperature of a given mechanical device and the vibration acceleration of a given driving device.

6. The method for monitoring a driving device according to claim 1, wherein: Determining the vibration state of a given drive device according to the vibration state prediction curve comprises the following steps: When the monitored real-time temperature value is greater than a preset temperature threshold, a target vibration acceleration value of a given driving device corresponding to the monitored real-time temperature value is obtained from a vibration state prediction curve; determining a target vibration acceleration interval corresponding to a target vibration acceleration value from a plurality of preset vibration acceleration intervals; The preset vibration state corresponding to the target vibration acceleration interval is determined as the vibration state of the given driving device; each preset vibration acceleration interval corresponds to a preset vibration state, and the preset vibration state is one of mild vibration, moderate vibration and strong vibration.

7. The method for monitoring a driving device according to claim 1, wherein: The monitoring method further comprises the following steps: When the monitored real-time temperature value is greater than the preset temperature threshold, obtaining a temperature value change curve corresponding to a plurality of temperature values ​​monitored within a third preset time period before the current moment; The temperature value change curve and early warning prompt are sent to the user end.

8. A monitoring system for a drive device, characterized in that: The monitoring system comprises: A sample acquisition module is used to acquire several groups of monitoring data samples; each group of monitoring data samples includes a preset vibration acceleration value and a target temperature value of a given mechanical equipment; A function fitting module is used to fit several groups of monitoring data samples according to several initial fitting functions screened from a preset function database, and obtain a key fitting function after fitting corresponding to each initial fitting function; A function determination module is used to compare the error between each key fitting function and a number of monitoring data samples based on the intersection points of the curves corresponding to each two key fitting functions, and to determine whether to cut and bridge each two key fitting functions to obtain the target fitting function; a curve construction module for constructing a vibration state prediction curve corresponding to the temperature of the given mechanical device and the vibration acceleration of the given drive device based on the target fitting function and the pre-acquired relationship between the vibration acceleration of the given mechanical device and the vibration acceleration of the given drive device; the given mechanical device and the given drive device are in a linkage relationship; The early warning sending module is used to monitor the real-time temperature value of a given mechanical equipment in real time. When the monitored real-time temperature value is greater than a preset temperature threshold, the vibration state of the given drive device is determined according to the vibration state prediction curve and an early warning prompt is issued.

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