Cleaning machine, motor fault judgment method and computer readable storage medium

Abstract

The invention relates to a cleaning machine, a motor fault judgment method and a computer readable storage medium, the cleaning machine comprises a water pump, and the water pump comprises a pump shell, an impeller installed in the pump shell and a motor arranged outside the pump shell and used for driving the impeller to rotate. And the sound sensor is used for collecting working noise information of the motor. The working noise information of the motor is collected through the sound sensor, the noise type is judged, then the fault reason of the motor is judged according to the noise type, compared with an existing judgment mode, judgment is convenient, the judgment accuracy is guaranteed, and in addition, the judgment efficiency is improved. According to the motor fault judgment method, whether the collected working noise information is electromagnetic noise or mechanical noise is preferentially judged, and then the specific noise type is judged by utilizing the frequency spectrum information of the working noise, so that the judgment accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of cleaning machines, and in particular to a cleaning machine, a motor fault judgment method and a computer-readable storage medium. Background Art

[0002] The water pump is the core component of the dishwasher, and the spray arm is driven to rotate by the water pump. In addition, the water pump includes a pump housing, an impeller installed in the pump housing, and a motor arranged outside the pump housing and used to drive the impeller to rotate. For example, the water pump structure disclosed in the Chinese invention patent with application number CN202410042308.6 (publication number CN117703767A) and the Chinese invention patent with application number CN202410042365.4 (publication number CN 117694796 A).

[0003] When the motor of the water pump is abnormal, the cause of the fault generally requires experienced professionals to test and analyze the abnormal motor, locate the problem point through the test, and design a corresponding solution. For example, the Chinese invention patent with patent number CN202410764299.1 (publication number CN118614827A) discloses a detection and control method for a DC motor of a dishwasher. In the drainage stage, the speed setting value S1 of the DC motor is compared with the speed detection value S2 detected by the driver board. If S2 is lower than (S1-N) rpm, it is marked once, and then the driver board is powered off and reset and compared again. If S2 is still lower than (S1-N) rpm and the duration reaches M minutes, the DC drainage pump fault is reported; in the washing stage, the speed setting value S1 of the DC motor is compared with the speed detection value S2 detected by the driver board. If S2 is lower than (S1-N) rpm, it is marked once, and then the driver board is powered off and reset and compared again. If S2 is still lower than (S1-N) rpm and the duration reaches M minutes, the DC washing pump fault is reported.

[0004] It can be seen that the existing motor fault judgment method needs to rely on professionals, and the operation is cumbersome, takes a lot of time, and the fault judgment efficiency is low. Summary of the invention

[0005] The first technical problem to be solved by the present invention is to provide a cleaning machine with high motor fault judgment efficiency in view of the prior art.

[0006] The second technical problem to be solved by the present invention is to provide a motor fault judgment method for the above-mentioned cleaning machine with high judgment efficiency and guaranteed accuracy in view of the prior art.

[0007] The third technical problem to be solved by the present invention is to provide a computer-readable storage medium that applies the above-mentioned motor fault judgment method in view of the prior art.

[0008] The technical solution adopted by the present invention to solve the above-mentioned first technical problem is: a cleaning machine, comprising a water pump, the water pump comprising a pump casing, an impeller installed in the pump casing, and a motor arranged outside the pump casing and used to drive the impeller to rotate, characterized in that it also includes a sound sensor for collecting working noise information of the above-mentioned motor.

[0009] Furthermore, the sound sensor is used to collect the working noise information of the motor under different working voltages. Electromagnetic noise will change with the change of voltage, while mechanical noise will not change with the change of voltage. In this way, the working noise produced by the motor can be judged as electromagnetic noise or mechanical noise through the voltage change and the information collected by the sound sensor under different voltages.

[0010] Furthermore, it also includes a water cup assembly, which includes a water cup with a water return area, the pump housing of the water pump is arranged in the water return area, and the motor of the water pump is arranged at the bottom of the water cup, and the sound sensor is arranged in the water return area and between the pump housing and the motor of the water pump. On the one hand, the sound sensor can better collect the working noise information emitted by the motor, and on the other hand, the sound sensor can be stably installed to avoid being affected by water flow, etc., which is conducive to extending the service life of the sound sensor.

[0011] Furthermore, there are at least two sound sensors, which are arranged at intervals along the circumferential direction with the output shaft of the motor as the center, so that the sound sensors can more effectively collect the working noise generated by the motor.

[0012] Furthermore, the vertical projection of each sound sensor is located outside the motor. In this way, each sound sensor can fully collect the longitudinal and transverse waves of the working noise produced by the motor, which is conducive to ensuring the accuracy of noise type judgment, and further conducive to improving the accuracy of motor fault judgment.

[0013] The technical solution adopted to further solve the above-mentioned second technical problem is: a motor fault judgment method for a cleaning machine as described above, characterized in that it includes the following steps: first, determine whether the working noise information of the motor collected by the sound sensor is mechanical noise or electromagnetic noise, and then determine the specific noise type based on the spectrum information of the working noise.

[0014] Furthermore, the working voltage of the motor is changed, and the working noise information generated by the motor under each working voltage is collected by the above-mentioned sound sensor. If the working noise information value changes with the working voltage, it becomes electromagnetic noise, and vice versa, it becomes mechanical noise. The judgment method is simple (changing the working voltage of the motor), and the judgment of electromagnetic noise and mechanical noise is accurate (electromagnetic noise will change with the change of voltage, while mechanical noise will not change with the change of voltage, and the feedback of the two to voltage changes is obviously different).

[0015] Further, after determining whether it is electromagnetic noise or mechanical noise, the specific noise type is determined by matching the spectrum information of the working noise collected by the sound sensor with the standard data in the noise pool. When an abnormality occurs in the motor, working noise will be generated, and the generated working noise is divided into electromagnetic noise, mechanical noise and other noises (for example, cavitation noise of cavitation motor). Among them, electromagnetic noise includes radial electromagnetic force noise and axial electromagnetic force noise, and radial electromagnetic force noise further includes radial electromagnetic force and torque harmonic noise, and axial electromagnetic force noise further includes unbalanced magnetic pull noise. Mechanical noise includes motor body noise, pump structure noise, and load variation noise, wherein the motor body noise further includes stator noise and rotor noise, stator noise includes structural component resonance noise, and rotor noise includes bearing noise, balance noise and static eccentric noise, and balance noise includes dynamic eccentric noise. Pump structure noise includes volute noise and impeller noise, and load variation noise includes spray arm clogging noise. In this way, the specific noise type is determined by the spectrum information of the working noise of the motor, and then the motor fault is determined by the specific noise type.

[0016] Furthermore, the operating voltage at least includes a first operating voltage, a second operating voltage and a third operating voltage having different voltage values.

[0017] First, the working noise information of the motor under the first working voltage and the second working voltage is used to determine whether the collected working noise information is mechanical noise or electromagnetic noise. Then, the specific noise type is determined by matching the average value of the spectrum information of the working noise of the motor under each working voltage with the standard data in the noise pool. Using the average value of the spectrum information of the working noise of the motor under multiple different working voltages to determine the specific noise type is conducive to improving the accuracy of noise type determination, thereby improving the accuracy of motor fault determination.

[0018] Furthermore, the motor fault judgment method in the present invention specifically includes the following steps:

[0019] (1) starting the motor under a first working voltage condition, recording the noise curve of the motor under the first working voltage, and recording the four amplitudes [R1, R2, R3, R4] with the highest peaks and the corresponding frequency values ​​[F1, F2, F3, F4] in the sound spectrum;

[0020] (2) changing the working voltage of the motor to a second working voltage different from the first working voltage, recording the noise curve of the motor under the second working voltage, and recording the four amplitudes with the highest peaks [R5, R6, R7, R8] and the corresponding frequency values ​​[F5, F6, F7, F8] in the sound spectrum;

[0021] (3) If the following conditions are met: 0<|Ry-Rx| / Ry≤20% and 0<|Fy-Fx| / Fy≤5%, it is judged as mechanical noise, otherwise it is judged as electromagnetic noise, where the value range of x is [1,2,3,4] and the value range of y is [5,6,7,8];

[0022] (4) Changing the working voltage of the motor to a third working voltage, the voltage value of the third working voltage being different from the first working voltage and the second working voltage, recording the noise curve of the motor under the third working voltage, and recording the four amplitudes with the highest peak values ​​in the sound spectrum diagram [R9, R 10 ,R 11 ,R 12 ] and the corresponding frequency value [F9,F 10 ,F 11 ,F 12 ];

[0023] (5) The amplitudes and corresponding frequency values ​​obtained under the first working voltage, the second working voltage, and the third working voltage are respectively averaged to obtain an average value [R a1 ,R a2 ,R a3 ,R a4 ] and [F a1 ,F a2 ,F a3 ,F a4 ], the average value obtained is compared with the standard data in the noise pool to obtain the specific noise type. In this way, the specific type of noise can be determined by using three different working voltages (the first working voltage, the second working voltage and the third working voltage) and four amplitude values ​​(amplitude and frequency values) of each working voltage, with high efficiency and accuracy.

[0024] The technical solution adopted to further solve the third technical problem mentioned above is: a computer-readable storage medium, which stores a computer program and can be read and executed by a processor, characterized in that: when the computer program is executed by the processor, the motor fault judgment method as described above is implemented.

[0025] Compared with the prior art, the advantages of the present invention are: obvious noise will be generated when the motor fails, and the noise information (spectrum) generated by failures due to different reasons is different. The present invention arranges a sound sensor on the cleaning machine to collect the working noise information of the motor to determine the noise type, and then determines the cause of the motor failure based on the noise type. Compared with the existing judgment method, the judgment is convenient and the judgment accuracy is guaranteed.

[0026] Furthermore, since electromagnetic noise and mechanical noise have overlapping parts in the spectrum diagram, directly using the spectrum information of the working noise to judge the noise type will increase the error rate. Therefore, the present invention preferentially judges whether the collected working noise information is electromagnetic noise or mechanical noise, and then uses the spectrum information of the working noise to judge the specific noise type, which is conducive to improving the accuracy of judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a structural schematic diagram of a cleaning machine in an embodiment of the present invention;

[0028] Figure 2 for Figure 1 A schematic diagram of the structure in another direction;

[0029] Figure 3 It is a schematic diagram of the partial structure of a cleaning machine in an embodiment of the present invention;

[0030] Figure 4 for Figure 3 A schematic diagram of the structure in another direction;

[0031] Figure 5 This is a noise type classification diagram in the present invention. DETAILED DESCRIPTION

[0032] The present invention is further described in detail below with reference to the accompanying drawings.

[0033] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Since the embodiments disclosed in the present invention can be set in different directions, these terms indicating directions are only for illustration and should not be regarded as limitations. For example, "up" and "down" are not necessarily limited to directions opposite to or consistent with the direction of gravity. In addition, the features defined as "first" and "second" may explicitly or implicitly include one or more of such features.

[0034] like Figures 1 to 4The washing machine in the present invention is shown. In this embodiment, the washing machine is specifically a dishwasher and includes an inner tank 1 with an opening at the front side. A water cup assembly 4 is arranged on the bottom wall of the inner tank 1, and a spray arm 2 is arranged in the inner tank 1. It also includes a water pump 3 for driving the above-mentioned spray arm 2 to rotate. The water pump 3 includes a pump housing 31, an impeller 32 installed in the pump housing 31, and a motor 33 arranged outside the pump housing 31 and used to drive the above-mentioned impeller 32 to rotate. At the same time, it also includes a sound sensor 6 for collecting the working noise information of the above-mentioned motor 33. When the motor 33 fails, it will generate obvious noise, and the noise information (amplitude and corresponding frequency value) generated by the failure of different reasons is different. The present invention sets a sound sensor 6 on the washing machine, and collects the working noise information of the motor 33 through the sound sensor 6, so as to judge the noise type, and then judge the cause of the failure of the motor 33 according to the noise type. Compared with the existing judgment method, the judgment is convenient and the judgment accuracy is guaranteed.

[0035] Furthermore, electromagnetic noise will change with the change of voltage, while mechanical noise will not change with the change of voltage. Preferably, the above-mentioned sound sensor 6 is used to collect the working noise information of the above-mentioned motor 33 under different working voltages respectively, so that the voltage change and the information under different voltages collected by the sound sensor 6 can be used to determine whether the working noise produced by the motor 33 is electromagnetic noise or mechanical noise.

[0036] Further, the water cup assembly 4 includes a water cup 5 having a water return area 51, the pump housing 31 of the water pump 3 is arranged in the water return area 51, and the motor 33 of the water pump 3 is arranged at the bottom of the water cup 5, and the sound sensor 6 is arranged in the water return area 51 and between the pump housing 31 of the water pump 3 and the motor 33. On the one hand, the sound sensor 6 can better collect the working noise information emitted by the motor 33, and on the other hand, the sound sensor 6 can be stably installed to avoid being affected by water flow, etc., which is conducive to extending the service life of the sound sensor 6. Preferably, the sound sensor 6 is at least two and is arranged at intervals along the circumferential direction with the output shaft of the motor 33 as the center, so that the sound sensor 6 can more effectively collect the working noise generated by the motor 33. In this embodiment, the sound sensor 6 is specifically three and is arranged on a circle with a radius of 75 mm with the output shaft of the motor 33 as the center. Further preferably, the vertical projection of each of the above-mentioned sound sensors 6 is located outside the above-mentioned motor 33, so that each sound sensor 6 can fully collect the longitudinal waves and transverse waves of the working noise produced by the motor 33, which is conducive to ensuring the accuracy of noise type judgment, and further conducive to ensuring the accuracy of motor 33 fault judgment.

[0037] Furthermore, the method for judging the fault of the motor 33 of the cleaning machine in the present invention comprises the following steps: first, judging whether the working noise information of the motor 33 collected by the sound sensor 6 is mechanical noise or electromagnetic noise, and then judging the specific noise type according to the spectrum information of the working noise. Since electromagnetic noise and mechanical noise have overlapping parts (low-frequency parts) in the spectrum diagram, directly using the spectrum information of the working noise to judge the noise type will increase the error rate. Therefore, the present invention preferentially judges whether the collected working noise information is electromagnetic noise or mechanical noise, and then uses the spectrum information of the working noise to judge the specific noise type, which is conducive to improving the accuracy of the judgment.

[0038] Preferably, in the present invention, the working voltage of the motor 33 is changed, and the working noise information generated by the motor 33 under each working voltage is collected by the sound sensor 6. If the working noise information value changes with the working voltage, it becomes electromagnetic noise, and vice versa, it becomes mechanical noise. The judgment method is simple (changing the working voltage of the motor 33), and the judgment of electromagnetic noise and mechanical noise is accurate (electromagnetic noise will change with the change of voltage, while mechanical noise will not change with the change of voltage, and the feedback of the two to voltage changes is obviously different).

[0039] Further preferably, after determining whether it is electromagnetic noise or mechanical noise, the specific noise type is determined by matching the spectrum information of the working noise collected by the sound sensor 6 with the standard data in the noise pool (obtained through test records and collection of working noise information of motors with known specific faults). When an abnormality occurs in the motor 33, working noise will be generated, and the generated working noise is divided into electromagnetic noise, mechanical noise and other noises (for example, cavitation noise of the cavitation motor 33). Among them, electromagnetic noise includes radial electromagnetic force noise and axial electromagnetic force noise, and radial electromagnetic force noise further includes radial electromagnetic force and torque harmonic noise, and axial electromagnetic force noise further includes unbalanced magnetic pull noise. Mechanical noise includes motor 33 body noise, pump structure noise, and load variation noise, among which the motor 33 body noise further includes stator noise and rotor noise, stator noise includes structural component resonance noise, and rotor noise includes bearing noise, balance noise and static eccentric noise, and balance noise includes dynamic eccentric noise. Pump structure noise includes volute noise and impeller 32 noise, and load variation noise includes spray arm 2 blockage noise. The noise type classification of motor 33 is as follows: Figure 5 In this way, the specific noise type is determined by the frequency spectrum information of the working noise of the motor 33, and then the motor 33 fault is determined by the specific noise type.

[0040] Preferably, in this embodiment, the working voltage at least includes a first working voltage, a second working voltage and a third working voltage with different voltage values. First, the working noise information of the motor 33 under the first working voltage and the second working voltage is used to determine whether the collected working noise information is mechanical noise or electromagnetic noise. Then, the specific noise type is determined by matching the average value of the spectrum information of the working noise of the motor 33 under each working voltage with the standard data in the noise pool. Using the average value of the spectrum information of the working noise of the motor 33 under multiple different working voltages to determine the specific noise type is conducive to improving the accuracy of the noise type judgment, thereby improving the accuracy of the motor 33 fault judgment.

[0041] Further preferably, the motor 33 fault judgment method in the present invention specifically comprises the following steps:

[0042] (1) starting the motor 33 under the first working voltage condition, recording the noise curve of the motor 33 under the first working voltage, and recording the four amplitudes [R1, R2, R3, R4] with the highest peaks in the sound spectrum and the corresponding frequency values ​​[F1, F2, F3, F4];

[0043] (2) changing the working voltage of the motor 33 to the second working voltage, recording the noise curve of the motor 33 under the second working voltage, and recording the four amplitudes with the highest peaks [R5, R6, R7, R8] and the corresponding frequency values ​​[F5, F6, F7, F8] in the sound spectrum;

[0044] (3) If the following conditions are met: 0<|Ry-Rx| / Ry≤20% and 0<|Fy-Fx| / Fy≤5%, it is judged as mechanical noise, otherwise it is judged as electromagnetic noise, wherein the value range of x is [1,2,3,4], and the value range of y is [5,6,7,8]; wherein Rx is the four highest values ​​of the amplitude of the working noise of the motor 33 under the above-mentioned first working motor 33, Ry is the four highest values ​​of the amplitude of the working noise of the motor 33 under the above-mentioned second working motor 33, Fx is the four highest values ​​of the frequency value of the working noise of the motor 33 under the above-mentioned first working motor 33, and Fy is the four highest values ​​of the frequency value of the working noise of the motor 33 under the above-mentioned second working motor 33;

[0045] (4) Changing the working voltage of the motor 33 to the third working voltage, recording the noise curve of the motor 33 under the third working voltage, and recording the four amplitudes with the highest peaks in the sound spectrum [R9, R 10 ,R 11 ,R 12 ] and the corresponding frequency value [F9,F 10 ,F 11,F 12 ];

[0046] (5) The amplitudes and corresponding frequency values ​​obtained under the first working voltage, the second working voltage, and the third working voltage are respectively averaged to obtain an average value [R a1 ,R a2 ,R a3 ,R a4 ] and [F a1 ,F a2 ,F a3 ,F a4 ], compare and match the average value obtained with the standard data in the noise pool to get the specific noise type. In this way, using three different working voltages (first working voltage, second working voltage and third working voltage) and four amplitude values ​​(amplitude and frequency value) of each working voltage, the specific type of noise can be judged with high efficiency and accuracy. Among them, R a1 is the average value of the highest amplitude under different working voltages, R a2 is the average value of the next highest amplitude under different working voltages, ... and so on; F a1 is the average value of the frequency corresponding to the highest amplitude under different working voltages, F a2 It is the average value of the frequency corresponding to the next highest amplitude of different working voltages, and so on.

[0047] The experimental analysis and verification by the applicant shows that the accuracy of the motor 33 fault judgment method of the present invention is consistent with the traditional manual analysis test results. It can be seen that the present invention can effectively ensure the accuracy of judgment while improving the judgment efficiency.

Claims

1. A cleaning machine, comprising a water pump (3), the water pump (3) comprising a pump housing (31), an impeller (32) installed in the pump housing (31), and a motor (33) arranged outside the pump housing (31) and used to drive the impeller (32) to rotate, characterized in that: It also includes a sound sensor (6) for collecting working noise information of the motor (33).

2. The cleaning machine according to claim 1, characterized in that: The sound sensor (6) is used to respectively collect the working noise information of the motor (33) under different working voltages.

3. The cleaning machine according to claim 1, characterized in that: The water cup assembly (4) further comprises a water cup (5) having a water return area (51), the pump housing (31) of the water pump (3) being arranged in the water return area (51) and the motor (33) of the water pump (3) being arranged at the bottom of the water cup (5), and the sound sensor (6) being arranged in the water return area (51) and between the pump housing (31) of the water pump (3) and the motor (33).

4. The cleaning machine according to claim 3, characterized in that: There are at least two sound sensors (6) which are arranged at intervals along the circumferential direction with the output shaft of the motor (33) as the center.

5. The cleaning machine according to claim 4, characterized in that: The vertical projection of each of the sound sensors (6) is located outside the motor (33).

6. A method for judging motor failure of a cleaning machine as claimed in any one of claims 2 to 5, characterized in that The following steps are involved: First, it is determined whether the working noise of the motor (33) collected by the sound sensor (6) is mechanical noise or electromagnetic noise, and then the specific noise type is determined based on the frequency spectrum information of the working noise.

7. The motor fault judgment method according to claim 6, characterized in that: The working voltage of the motor (33) is changed, and the working noise information generated by the motor (33) under each working voltage is collected by the sound sensor (6). If the working noise information value changes with the working voltage, it becomes electromagnetic noise, otherwise it becomes mechanical noise.

8. The motor fault judgment method according to claim 6, characterized in that: After determining whether it is electromagnetic noise or mechanical noise, the specific noise type is determined by matching the frequency spectrum information of the working noise collected by the sound sensor (6) with the standard data in the noise pool.

9. The motor fault judgment method according to any one of claims 7 to 8, characterized in that: The operating voltage at least includes a first operating voltage, a second operating voltage and a third operating voltage with different voltage values. Firstly, the working noise information of the motor (33) under the first working voltage and the second working voltage is used to determine whether the collected working noise information is mechanical noise or electromagnetic noise. Then, the specific noise type is determined by matching the average value of the frequency spectrum information of the working noise of the motor (33) under each working voltage with the standard data in the noise pool.

10. The motor fault judgment method according to claim 6, characterized in that The following steps are involved: (1) starting the motor (33) under a first working voltage condition, recording a noise curve of the motor (33) under the first working voltage, and recording four amplitudes [R1, R2, R3, R4] with the highest peaks in the sound spectrum and corresponding frequency values ​​[F1, F2, F3, F4]; (2) changing the working voltage of the motor (33) to a second working voltage different from the first working voltage, recording the noise curve of the motor (33) under the second working voltage, and recording the four amplitudes [R5, R6, R7, R8] with the highest peaks in the sound spectrum and the corresponding frequency values ​​[F5, F6, F7, F8]; (3) If the following conditions are met: 0<|Ry-Rx| / Ry≤20% and 0<|Fy-Fx| / Fy≤5%, it is judged as mechanical noise, otherwise it is judged as electromagnetic noise, where the value range of x is [1,2,3,4] and the value range of y is [5,6,7,8]; (4) changing the working voltage of the motor (33) to a third working voltage, the voltage value of the third working voltage being different from the first working voltage and the second working voltage, recording the noise curve of the motor (33) under the third working voltage, and recording the four amplitudes with the highest peak values ​​in the sound spectrum diagram [R9, R 10 ,R 11 ,R 12 ] and the corresponding frequency value [F9,F 10 ,F 11 ,F 12 ]; (5) The amplitudes and corresponding frequency values ​​obtained under the first working voltage, the second working voltage, and the third working voltage are respectively averaged to obtain an average value [R a1 ,R a2 ,R a3 ,R a4 ] and [F a1 ,F a2 ,F a3 ,F a4 ], and compare and match the average value obtained with the standard data in the noise pool to obtain the specific noise type.

11. A computer-readable storage medium storing a computer program and capable of being read and executed by a processor, characterized in that: When the computer program is executed by a processor, the motor fault judgment method according to any one of claims 8 to 10 is implemented.

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