System and method for testing service life of barrier gate motor

Abstract

The invention provides a system and a method for testing the service life of a barrier gate motor, and particularly relates to the field of motor testing. The method for testing the service life of the barrier gate motor comprises the steps of setting initial data required in a motor test according to the model of the motor, driving the motor to rotate according to the initial data, and obtaining the temperature of a machine body and the rotating speed of a main shaft in the rotating process of the motor in real time. Evaluating the body temperature, judging whether a temperature change curve meets a pre-auditing change standard or not, and generating a first weight coefficient K; evaluating the rotating speed of the main shaft, judging whether the changing curve of the rotating speed meets the expectation or not, and generating a second weight coefficient F; and inputting the first weight coefficient K and the second weight coefficient F into a trained test model, testing the first weight coefficient K and the second weight coefficient F of the model, and generating service life data # imgabs0 # of the motor. According to the invention, the problem that the service life of the motor is not accurately tested in the prior art can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of motor testing, and in particular to a system and method for testing the service life of a barrier gate motor. Background Art

[0002] For motors in some special use scenarios, they need to have good stability and service life. For example, the motor is used as a device on a barrier. Therefore, it is necessary to accurately test and analyze the service life of the motor, and then timely discover possible fault hazards, which is of great practical significance and economic value for ensuring the safety and reliability of barrier equipment.

[0003] Among them, in the process of testing the service life of the gate motor, the traditional test method is to make the motor rotate 360 ​​degrees forward or reverse for testing. There are many kinds of existing motor life test equipment, but they are generally constant torque loads, which are very different from the actual complex operating environment of the motor, and require manual data collection and 24-hour monitoring, which is not only inconvenient, but also has large errors in the test, affecting the progress of new product development.

[0004] At present, in the process of testing the service life of a motor, it is difficult to accurately obtain the service life of the motor based on the current state of the motor, which makes it difficult to accurately control the service life of the motor. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a system and method for testing the service life of a barrier gate motor, so as to solve the problem that the service life test of the motor in the prior art is not accurate enough.

[0006] To achieve the above-mentioned purpose and other related purposes, the present invention provides a method for testing the service life of a gate motor, which is applied to a motor testing device to perform a motor life test, and the motor testing device comprises: Connecting seat; A clamping assembly is located on the connecting seat and is used to clamp the motor required for the test; A transmission assembly is located on the connection seat, and the main shaft of the motor is connected to the transmission assembly, wherein the transmission assembly is used to adjust the load carried by the motor; and A sensor assembly, used to obtain test data of the motor during rotation; The motor life test method comprises the following steps: According to the model of the motor, the initial data required for the motor test is set, wherein the initial data includes the initial voltage, commutation time, rotation load and test number of the motor; According to the initial data, driving the motor to rotate; Real-time acquisition of the body temperature of the motor and the rotation speed of the main shaft during the rotation process; Evaluating the body temperature, determining whether the temperature change curve meets a pre-qualified change standard, and generating a first weight coefficient K; Evaluate the rotation speed of the spindle, determine whether the rotation speed change curve meets expectations, and generate a second weight coefficient F; The first weight coefficient K and the second weight coefficient F are input into the trained test model, and the test model generates the service life data of the motor according to the model of the motor and the first weight coefficient K and the second weight coefficient F. .

[0007] In one embodiment of the present invention, in the step of obtaining in real time the body temperature of the motor and the rotation speed of the spindle during rotation, the body temperature is obtained by an infrared temperature sensor, and the rotation speed of the spindle is obtained by a speed sensor.

[0008] In one embodiment of the present invention, the step of evaluating the body temperature, determining whether the temperature change curve meets a preset change standard, and generating a first weight coefficient includes: Acquiring temperature data of the body, and generating a temperature change curve based on the temperature data; During the preset test time, when the highest point of the temperature curve When the temperature is less than the preset temperature threshold T, the first weight coefficient is K=1; When the highest point of the temperature curve When the temperature is greater than the preset temperature threshold T, the first weight coefficient is .

[0009] In one embodiment of the present invention, the step of evaluating the rotation speed of the spindle, determining whether the rotation speed variation curve meets expectations, and generating the second weight coefficient F includes: Acquire the rotation speed data of the spindle, and generate a variation curve of the acceleration a of the motor based on the rotation speed data; Comparing the change curve of the acceleration a with the standard acceleration change curve, and acquiring comparison data, wherein the comparison data represents the degree of overlap between the change curve of the acceleration a and the standard acceleration change curve; The comparison data is assigned to the second weight coefficient F.

[0010] In one embodiment of the present invention, the test model is a neural network model, and the training steps include: Acquire full life data of multiple motors of the same model as the motor to be tested; Analyzing the full life data for processing to obtain multiple sets of training data; Dividing the plurality of sets of training data into a training set, a validation set and a test set according to a preset ratio division rule; During training, when the shallow feature information is fused by multiple parallel convolutions, the deep convolution features are combined with the shallow convolution to obtain a classification branch, and the remaining part continues to perform deeper convolutions. The optimal model structure is obtained by repeatedly debugging and matching the convolution kernel size and the addition position of the deep and shallow network structures. The training set is input into the constructed model structure, and the loss function is iteratively calculated and back-propagated to update the parameters until the model converges and is saved to obtain the neural network model.

[0011] In an embodiment of the present invention, the training data includes temperature change data and speed data of the motor.

[0012] In one embodiment of the present invention, the test model includes: ; in, Represents the predicted life data, A represents the correction coefficient of the prediction model, which is used to reflect the change range of system life. Characterizes the function of the influence of temperature on the life of the motor. C represents a constant term, which is used in the test model to represent the life prediction value of the motor under standard conditions. This value reflects the expected life of the same model motor when other variables are excluded. Function that characterizes the effect of speed on motor life.

[0013] The present invention also provides a test system for the service life of a barrier gate motor, which uses the test method for the service life of a barrier gate motor as described above, and the system comprises: A control module, which is used to set the initial data required for the motor test according to the model of the motor, wherein the initial data includes the initial voltage, commutation time, rotation load and test number of the motor; A driving module, used for driving the motor to rotate according to the initial data; A data acquisition module, which is used to obtain the body temperature of the motor and the rotation speed of the main shaft in real time during the rotation process; A temperature analysis module, which is used to evaluate the body temperature, determine whether the temperature change curve meets a pre-qualified change standard, and generate a first weight coefficient K; A rotation speed analysis module, which is used to evaluate the rotation speed of the spindle, determine whether the rotation speed change curve meets expectations, and generate a second weight coefficient F; and A life prediction module, which is used to input the first weight coefficient K and the second weight coefficient F into a trained test model, and the test model generates the life data of the motor according to the model of the motor and the first weight coefficient K and the second weight coefficient F. .

[0014] As described above, the present invention discloses a system and method for testing the service life of a barrier gate motor. The motor life testing method allows the motor service life to be measured based on the temperature change of the motor body generated during the rotation of the motor and the law of the motor speed change. During the test process, a neural network model is used to effectively improve the accuracy of the prediction of the motor life. Therefore, the problem of inaccuracy in the motor service life test can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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. Figure 1 A schematic diagram of an application scenario of a method for testing the service life of a barrier motor in one embodiment of the present invention; Figure 2 A schematic flow chart of a method for testing the service life of a barrier motor in one embodiment of the present invention; Figure 3 A schematic flow chart of step S40 of a method for testing the service life of a barrier motor in one embodiment of the present invention; Figure 4 A schematic flow chart of step S50 of a method for testing the service life of a barrier motor in one embodiment of the present invention; Figure 5 A schematic diagram of modules of a gate motor service life testing system in one embodiment of the present invention.

[0016] Component number description 100, connecting seat; 200, clamping assembly; 210, fixing plate; 220, clamping plate; 230, screw; 300, transmission assembly; 310, first connection disk; 320, second connection disk; 330, third connection disk; 340, adjustment member; 400, sensor component; 410, infrared temperature sensor; 420, speed sensor; 500. A test system for the service life of a barrier gate motor; 510. A control module; 520. A drive module; 530. A data acquisition module; 540. A temperature analysis module; 550. A speed analysis module; 560. A service life prediction module. DETAILED DESCRIPTION

[0017] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0018] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0019] See also Figure 1-5 As shown, the present invention provides a method for testing the service life of a barrier gate motor, which can be applied to a motor testing device to test the service life of the motor, so as to improve the problem of inaccurate service life testing of the motor in the prior art. The motor testing device can power the motor and obtain relevant test data. The specific structure of the motor testing device can be determined according to actual needs.

[0020] See also Figure 1As shown, in one embodiment, the motor testing device may include a connection seat 100, a clamping assembly 200, a transmission assembly 300 and a sensor assembly 400. Among them, the clamping assembly 200 is located on the connection seat 100 and can be used to clamp the motor. It should be noted that for the clamping assembly 200, it can include a fixed plate 210 and a clamping plate 220. The fixed plate 210 is fixedly connected to the connection seat 100, and the clamping plate 220 is slidably connected to the connection seat 100. Therefore, the motor is located between the fixed plate 210 and the clamping plate 220, and the fixed plate 210 and the clamping plate 220 can be connected by a screw 230. Specifically, one end of the screw 230 is pivotally connected to the fixed plate 210, and the screw 230 and the clamping plate 220 are threadedly connected. Therefore, by rotating the screw 230, it can be used to adjust the distance between the fixed plate 210 and the clamping plate 220, thereby achieving clamping of the motor.

[0021] Further, the transmission assembly 300 is located on the connecting plate, and the transmission assembly 300 is connected to the motor to be tested by transmission. Therefore, the load carried by the motor can be adjusted by the transmission assembly 300, thereby improving the applicability of the device to different models of motors during actual use. Specifically, the transmission assembly 300 can include a first connection disk 310, a second connection disk 320, a third connection disk 330 and an adjusting member 340. Among them, the first connection disk 310, the second connection disk 320 and the third connection disk 330 are respectively rotatably connected to the connection seat 100, and the main shaft of the motor to be tested can be fixedly connected to the rotating shaft of the first connection disk 310 through a coupling. The first connection disk 310 and the second connection disk 320 are connected by belt transmission, and the second connection disk 320 and the third connection disk 330 are connected by non-deformable steel belt transmission. It should be noted that the adjustment member 340 is connected between the third connecting disk 330 and the connecting seat 100. It adjusts the load borne on the second connecting disk 320 by adjusting the wheelbase between the third connecting disk 330 and the second connecting disk 320, and further adjusts the load borne by the required test motor.

[0022] Among them, for the adjusting member 340, the adjusting member 340 may be allowed to adopt a telescopic cylinder. The cylinder body of the telescopic cylinder may be allowed to be fixedly connected to the connecting seat 100, and the cylinder rod of the telescopic cylinder may be allowed to be connected to the third connecting plate 330. Therefore, the third connecting plate 330 has a corresponding movement tendency relative to the second connecting plate 320 through the telescopic cylinder. Since the second connecting plate 320 and the third connecting plate 330 are connected by a steel belt, the load on the second connecting plate 320 can be adjusted by adjusting the tension between the second connecting plate and the third connecting plate 330.

[0023] See also Figure 1As shown, in one embodiment, the motor testing device also includes a sensor component 400, which is used to obtain test data of the motor during rotation. Among them, the sensor component 400 may include an infrared temperature sensor 410 and a speed sensor 420, the infrared temperature sensor 410 is used to measure the body temperature of the motor, and the speed sensor 420 is used to obtain the rotation speed of the motor. Specifically, the infrared temperature sensor 410 can be fixedly connected to the connecting seat 100, and the infrared temperature sensor 410 is directed to the motor required for the test. At the same time, the speed sensor 420 is located on the connecting seat 100, and the speed sensor 420 can be connected to the first connecting disk 310. Since the main shaft of the motor to be tested is fixedly connected to the first connecting disk 310, it is allowed to obtain the rotation speed of the motor by measuring the first connecting disk 310.

[0024] See also Figure 2 As shown, in one embodiment, a method for testing the service life of a barrier gate motor may include the following steps.

[0025] Step S10, according to the model of the motor, set the initial data required for the motor test, wherein the initial data includes the initial voltage, commutation time, rotation load and number of tests of the motor. During the test of the service life of the barrier motor, the initial voltages corresponding to motors of different models are different. A motor-parameter comparison table can be preset, and its parameters include initial voltage, commutation time, rotation load and number of tests. Therefore, after obtaining the motor model to be tested, the initial parameters required in the test process can be obtained by querying the motor-parameter comparison table.

[0026] Step S20, driving the motor to rotate according to the initial data. By rotating the motor under a preset working condition, the test data corresponding to the motor during the rotation process can be directly obtained.

[0027] Step S30, in the process of the motor rotating from a stationary state to a stable state, the body temperature of the motor and the speed of the main shaft are obtained in real time during the rotation process. In this step, the body temperature of the motor can be obtained through the infrared temperature sensor 410, and the main shaft speed of the motor can be obtained through the speed sensor 420. Therefore, after obtaining the temperature data and the speed data during the rotation of the motor, it is allowed to analyze and process the temperature data and the speed data, and generate the test data of the motor life.

[0028] Step S40: Evaluate the body temperature, determine whether the temperature change curve meets a pre-examination change standard, and generate a first weight coefficient K.

[0029] See also Figure 3As shown, in one embodiment, in step S40, it includes: S401, acquiring temperature data of the body, and generating a temperature change curve based on the temperature data.

[0030] Specifically, the preset test time can be a test cycle, and its specific duration can be determined according to the actual motor model. For the motor, under normal working conditions, the body temperature of the motor is in a stable range. When the motor is in an abnormal state, the temperature of the motor body will increase during operation, and the service life of the gate motor will decrease. Therefore, it is allowed to preset the motor-temperature threshold T table according to the motor model, and obtain the temperature threshold T corresponding to the test motor by looking up the table.

[0031] S402: During the preset test time, when the highest point of the temperature curve When the temperature is less than the preset temperature threshold T, it is allowed to define the first weight coefficient as K=1.

[0032] S403, when the highest point of the temperature curve When the temperature is greater than the preset temperature threshold T, the first weight coefficient is It should be noted that during the test period, if When is much greater than the temperature threshold T, it indicates that the working condition of the motor is poor. The higher the damage rate, the shorter its corresponding life cycle. Therefore, the first weight coefficient can be defined as .

[0033] Step S50, evaluate the rotation speed of the spindle, determine whether the rotation speed change curve meets expectations, and generate a second weight coefficient F. For the motor, under normal working conditions, the increase in the motor speed per unit time is within a stable range. When the motor is in an abnormal state, the increase in the motor speed slows down during operation, and the corresponding gate motor service life decreases accordingly.

[0034] See also Figure 4 As shown, in one embodiment, in step S50, it includes: S501 , acquiring the rotation speed data of the main shaft, and generating a variation curve of the acceleration a of the motor based on the rotation speed data.

[0035] S502: Compare the change curve of the acceleration a with the standard change curve of acceleration, and obtain comparison data, wherein the comparison data represents the degree of overlap between the change curve of the acceleration a and the standard change curve of acceleration.

[0036] S503: Assign the comparison data to the second weight coefficient F.

[0037] Finally, step S60 is executed to input the first weight coefficient K and the second weight coefficient F into the trained test model, and the test model generates the service life data of the motor according to the model of the motor and the first weight coefficient K and the second weight coefficient F. .

[0038] Specifically, the test model is a neural network model, which may include the following training steps.

[0039] First, obtain the full life data of multiple motors of the same model as the motor to be tested. Secondly, parse the full life data for processing to obtain multiple sets of training data. It should be noted that the training data may include the temperature change data and speed data of the motor. Furthermore, the multiple sets of training data are divided into training set, verification set and test set according to the preset proportion division rule. Among them, during training, when the shallow feature information is fused by multiple parallel convolutions, the deep convolution features obtained are combined with the shallow convolution to obtain a classification branch, and the remaining part continues to perform deeper convolution, and the optimal model structure is obtained by repeatedly debugging and matching the convolution kernel size and the addition position of the deep and shallow network structures. Finally, the training set is input into the constructed model structure, and the loss function is repeatedly iterated to back-propagate and update the parameters until the model converges and is saved to obtain the neural network model.

[0040] It should be noted that the test model includes: .in, Represents the predicted life data, A represents the correction coefficient of the prediction model, which is used to reflect the change range of system life. A function that characterizes the effect of temperature on motor life; C represents a constant term, which is used in the test model to represent the life prediction value of the motor under standard conditions. This value reflects the expected life of the same model motor when other variables are excluded, and Function that characterizes the effect of speed on motor life.

[0041] See also Figure 5 As shown, in one embodiment, the present invention further provides a test system 500 for the service life of a barrier motor. The test system 500 for the service life of a barrier motor corresponds to the test method for the service life of a barrier motor in the above embodiment. The test system 500 for the service life of a barrier motor may include a control module 510, a drive module 520, a data acquisition module 530, a temperature analysis module 540, a speed analysis module 550, and a life prediction module 560. The module referred to in the present invention refers to a series of computer program segments that can be executed by a processor and can complete fixed functions, which are stored in a memory.

[0042] Specifically, the control module 510 is used to set the initial data required for the motor test according to the model of the motor, wherein the initial data includes the initial voltage, commutation time, rotation load and number of tests of the motor. The drive module 520 is used to drive the motor to rotate according to the initial data. The data acquisition module 530 is used to obtain the body temperature of the motor and the speed of the spindle during the rotation process in real time. The temperature analysis module 540 is used to evaluate the body temperature, determine whether the temperature change curve meets a pre-examination change standard, and generate a first weight coefficient K. The speed analysis module 550 is used to evaluate the speed of the spindle, determine whether the speed change curve meets expectations, and generate a second weight coefficient F. And the life prediction module 560 is used to input the first weight coefficient K and the second weight coefficient F into the trained test model, and the test model generates the service life data of the motor according to the model of the motor and the first weight coefficient K and the second weight coefficient F. .

[0043] In summary, the present invention discloses a system and method for testing the service life of a barrier gate motor. The motor life testing method allows the motor service life to be measured based on the temperature change of the motor body generated during the rotation of the motor and the law of the motor speed change. During the test process, a neural network model is used to effectively improve the accuracy of the prediction of the motor life. Therefore, the problem of inaccuracy in the motor service life test can be effectively improved.

[0044] Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0045] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for testing the service life of a barrier gate motor, which is applied to a motor testing device to perform a motor life test, and is characterized in that: The motor testing equipment comprises: Connecting seat (100); A clamping assembly (200) is located on the connecting seat (100) and is used to clamp the motor required for the test; A transmission assembly (300) is located on the connection seat (100), and the main shaft of the motor is connected to the transmission assembly (300), wherein the transmission assembly (300) is used to adjust the load carried by the motor; and A sensor assembly (400) for acquiring test data of the motor during rotation; The motor life test method comprises the following steps: According to the model of the motor, the initial data required for the motor test is set, wherein the initial data includes the initial voltage, commutation time, rotation load and test number of the motor; According to the initial data, driving the motor to rotate; Real-time acquisition of the body temperature of the motor and the rotation speed of the main shaft during the rotation process; Evaluating the body temperature, determining whether the temperature change curve meets a pre-qualified change standard, and generating a first weight coefficient K; Evaluate the rotation speed of the spindle, determine whether the rotation speed change curve meets expectations, and generate a second weight coefficient F; The first weight coefficient K and the second weight coefficient F are input into the trained test model, and the test model generates the service life data of the motor according to the model of the motor and the first weight coefficient K and the second weight coefficient F. .

2. The method for testing the service life of a barrier gate motor according to claim 1, characterized in that: In the step of obtaining in real time the body temperature of the motor and the rotational speed of the main shaft during rotation, the body temperature is obtained by an infrared temperature sensor (410), and the rotational speed of the main shaft is obtained by a speed sensor (420).

3. The method for testing the service life of a barrier gate motor according to claim 1, characterized in that: The step of evaluating the body temperature, determining whether the temperature change curve meets a preset change standard, and generating a first weight coefficient includes: Acquiring temperature data of the body, and generating a temperature change curve based on the temperature data; During the preset test time, when the highest point of the temperature curve When the temperature is less than the preset temperature threshold T, the first weight coefficient is K=1; When the highest point of the temperature curve When the temperature is greater than the preset temperature threshold T, the first weight coefficient is .

4. The method for testing the service life of a barrier gate motor according to claim 1, characterized in that: The step of evaluating the rotation speed of the spindle, determining whether the rotation speed variation curve meets expectations, and generating a second weight coefficient F includes: Acquire the rotation speed data of the spindle, and generate a variation curve of the acceleration a of the motor based on the rotation speed data; Comparing the change curve of the acceleration a with the standard acceleration change curve, and acquiring comparison data, wherein the comparison data represents the degree of overlap between the change curve of the acceleration a and the standard acceleration change curve; The comparison data is assigned to the second weight coefficient F.

5. The method for testing the service life of a barrier gate motor according to claim 1, characterized in that: The test model is a neural network model, and its training steps include: Acquire full life data of multiple motors of the same model as the motor to be tested; Analyzing the full life data for processing to obtain multiple sets of training data; Dividing the plurality of sets of training data into a training set, a validation set and a test set according to a preset ratio division rule; During training, when the shallow feature information is fused by multiple parallel convolutions, the deep convolution features are combined with the shallow convolution to obtain a classification branch, and the remaining part continues to perform deeper convolutions. The optimal model structure is obtained by repeatedly debugging and matching the convolution kernel size and the addition position of the deep and shallow network structures. The training set is input into the constructed model structure, and the loss function is iteratively calculated and back-propagated to update the parameters until the model converges and is saved to obtain the neural network model.

6. The method for testing the service life of a barrier gate motor according to claim 5, characterized in that: The training data includes temperature change data and speed data of the motor.

7. The method for testing the service life of a barrier gate motor according to claim 5, characterized in that: The test model includes: ； in, Characterize predicted life span data; A represents the correction factor of the prediction model, which is used to reflect the change range of system life; Functions that characterize the effect of temperature on motor life; and Function that characterizes the effect of speed on motor life; C represents a constant term, which is used in the test model to represent the life prediction value of the motor under standard conditions. This value reflects the expected life of the motor of the same model when other variables are excluded.

8. A barrier gate motor service life testing system, which uses the barrier gate motor service life testing method as described in any one of claims 1 to 7, characterized in that: The system comprises: A control module (510) is used to set the initial data required for the motor test according to the model of the motor, wherein the initial data includes the initial voltage, commutation time, rotation load and test number of the motor; A driving module (520), configured to drive the motor to rotate according to the initial data; A data acquisition module (530) is used to acquire in real time the body temperature of the motor and the rotation speed of the main shaft during the rotation process; A temperature analysis module (540) is used to evaluate the body temperature, determine whether the temperature change curve meets a pre-qualified change standard, and generate a first weight coefficient K; A rotation speed analysis module (550) is used to evaluate the rotation speed of the main shaft, determine whether the rotation speed change curve meets expectations, and generate a second weight coefficient F; and A life prediction module (560) is used to input the first weight coefficient K and the second weight coefficient F into a trained test model, wherein the test model generates service life data of the motor according to the model of the motor and the first weight coefficient K and the second weight coefficient F. .

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