Target recognition method for three-phase asynchronous motor

Abstract

The present invention relates to a method for identifying a target of a three-phase asynchronous motor, comprising: using a dynamic capture mechanism to initiate a time-sharing capture operation of the scene where the pull-in coil of the contactor of the three-phase asynchronous motor is located when the real-time coil current of the pull-in coil is greater than or equal to a preset current limit; and using a secondary recognition device to issue a block rust detection signal when the proportion of the area occupied by the block of the image of the pending object in the data sharpening image is greater than or equal to a preset proportion threshold. The present invention initiates the time-sharing capture operation of the scene where the pull-in coil is located and the subsequent secondary targeted visual confirmation of the block iron core rust on the pull-in coil only when the real-time coil current of the pull-in coil of the contactor of the three-phase asynchronous motor is greater than or equal to the preset current limit. The secondary targeted visual confirmation process is then completed using a targeted visual analysis mechanism, thereby improving the recognition accuracy of the block iron core rust.

Description

Technical Field

[0001] The present invention relates to the field of asynchronous motors, and in particular to a target recognition method for three-phase asynchronous motors. Background Art

[0002] A three-phase asynchronous motor consists of two basic components: a stationary stator and a rotating rotor. The rotor is mounted within the stator and supported on two end caps by bearings. To ensure the rotor can rotate freely within the stator, a gap, called an air gap, must exist between the stator and rotor. The air gap is a very important parameter in a motor; its size and symmetry significantly influence its performance.

[0003] When there is lumps of core rust on the pull-in coil of the contactor of a three-phase asynchronous motor, the coil will not be tightly attracted, and strong noise will be generated, which will increase the coil current and burn the coil, causing a malfunction. Therefore, it is necessary to conduct targeted identification of the lumps of core rust on the pull-in coil of the contactor of the three-phase asynchronous motor to determine whether there is a safety hazard. However, the identification of lumps of core rust on the pull-in coil requires high detection accuracy and low system loss.

[0004] CN116242727A relates to an impact load friction and wear testing machine. It comprises a continuously variable speed motor as the first power source, and a variable frequency three-phase asynchronous motor as the second power source. The continuously variable speed motor and the variable frequency three-phase asynchronous motor are respectively fixed to a motor bracket and a metal frame via bolt holes thereon, and the motor bracket is mounted and fixed to the metal frame. Two bearing seats, a continuously variable transmission, and a reducer are respectively fixed to a top support plate, an intermediate support plate, and the metal frame via bolt holes thereon, and the top support plate and the intermediate support plate are respectively fixed to the metal frame. A vertical drive shaft is fixed to the drive shaft bracket via fastening bolts, and the drive shaft bracket is welded to the intermediate support plate.

[0005] CN116317225A discloses a three-phase asynchronous motor lamination assembly, comprising an annular stator lamination and a rotor lamination. The stator lamination and the rotor lamination are coaxially arranged, and the rotor lamination is placed inside the stator lamination. The stator lamination comprises a coaxially arranged stator outer edge and a stator inner edge. The stator lamination is provided with a plurality of stator slots evenly arranged along the stator inner edge. The stator slot opening of each stator slot is located at the stator inner edge. The stator slot comprises two oppositely arranged stator straight edges. A stator arcuate edge is provided between the outer ends of the two stator straight edges. A relatively convergent stator closing edge is provided at the inner ends of the two stator straight edges. The gap between the two stator closing edges is the stator slot opening.

[0006] CN116317412A discloses a method for manufacturing a single-phase asynchronous motor, comprising the following steps: 1) machining and preparing parts; 2) assembling a support base; and 3) assembling the support base and the motor body. The present invention features an ingenious and reasonable structural design, strong practicality, clear principles, easy real-time operation, and general control requirements, making it easy to promote. Auxiliary devices are used to assist in the welding and assembly of the support base itself and between the support base and the motor body, effectively ensuring precise positioning of the various components and preventing component misalignment during welding. This effectively improves the actual welding quality and precision, making the overall structure of the welded motor more secure and reliable, and extending its service life.

[0007] As can be seen from the above, it is obvious that there is a lack of corresponding technical solutions in the existing technology. Summary of the Invention

[0008] To address the above-mentioned problems, the present invention provides a method for target recognition of a three-phase asynchronous motor. A time-sharing capture operation of the scene where the pickup coil is located and subsequent secondary targeted visual confirmation of the bulk core rust on the pickup coil are initiated only when the real-time coil current of the pickup coil of the contactor of the three-phase asynchronous motor is greater than or equal to a preset current limit. An image region in a data-sharpened image obtained after targeted optimization processing, where the color imaging features corresponding to the core rust are matched and the number of pixels occupying the data-sharpened image exceeds or equals a preset limit, is then used as a current reference region to obtain an image region suspected of bulk rust for subsequent confirmation processing. Furthermore, within the current reference region, each object pixel in the current reference region is identified based on a preset brightness value range corresponding to the core rust. Each object pixel in the current reference region is combined after removing isolated pixels to obtain a pending object image block. When the proportion of the area occupied by the pending object image block in the data-sharpened image is greater than or equal to a preset proportion threshold, a bulk rust detection signal is issued, thereby achieving confirmation of the bulk core rust on the pickup coil of the contactor of the three-phase asynchronous motor.

[0009] According to the present invention, a method for identifying a target of a three-phase asynchronous motor is provided, the method comprising:

[0010] The current measuring mechanism is connected to the pull-in coil of the contactor of the three-phase asynchronous motor to measure the coil current of the pull-in coil to obtain and output the real-time coil current;

[0011] A dynamic capture mechanism is arranged opposite to the pull-in coil and connected to the current measuring mechanism, and is used to start a time-sharing capture operation of the scene where the pull-in coil is located when the received real-time coil current is greater than or equal to a preset current limit, so as to obtain an instant capture image corresponding to the current moment;

[0012] connecting an affine transformation device to the dynamic capture mechanism to perform affine transformation processing on the received instantaneous captured image to obtain and output a corresponding affine transformed image;

[0013] Connecting a directional filtering device to the affine transformation device to perform directional filtering processing for removing impulse interference noise and salt and pepper noise on the received affine transformed image to obtain and output a corresponding directional filtered image;

[0014] Connecting a data sharpening device to the directional filtering device to perform spatial differential sharpening processing on the received directional filtered image to obtain and output a corresponding data sharpened image;

[0015] Connecting a secondary recognition device to the data sharpening device, configured to use an image area in the received data sharpened image that matches the color imaging feature corresponding to the iron core rust and in which the number of pixels occupying the data sharpened image exceeds or equals a set limit as a current reference area, identifying each object pixel in the current reference area according to a preset brightness value range corresponding to the iron core rust in the current reference area, performing a combination process on each object pixel in the current reference area after removing isolated pixels to obtain a pending object image block, and issuing a block rust detection signal when a proportion of the area occupied by the pending object image block in the data sharpened image is greater than or equal to a preset proportion threshold;

[0016] The secondary recognition device is further configured to issue a block rust non-detection signal when the area ratio of the block of the undetermined object image to the data sharpened image is less than the preset ratio threshold;

[0017] The image region in the received data-sharpened image that matches the color imaging feature corresponding to the iron core rust and in which the number of pixel points occupying the data-sharpened image exceeds or equals a set limit is used as the current reference region, including: the color imaging feature corresponding to the iron core rust being the respective numerical value distribution ranges corresponding to the respective color components of the iron core rust in the RGB color space;

[0018] Among them, in the current reference area, identifying each object pixel point in the current reference area according to the preset brightness value range corresponding to the iron core rust includes: the brightness value corresponding to each object pixel point is within the preset brightness value range corresponding to the iron core rust.

[0019] It can be seen that the present invention has at least the following three important inventive concepts:

[0020] Inventive Concept A: An image region in the data-sharpened image obtained after targeted optimization processing, in which the color imaging features corresponding to iron core rust are matched and the number of pixels occupying the data-sharpened image exceeds or equals a set limit, is used as the current reference region to obtain an image region suspected of block rust for subsequent confirmation processing;

[0021] Inventive Concept B: Each object pixel in the current reference area is identified based on a preset brightness value range corresponding to iron core rust in the current reference area, each object pixel in the current reference area is combined after removing isolated pixels to obtain a pending object image block, and a block rust detection signal is issued when the proportion of the area occupied by the pending object image block in the data sharpening image is greater than or equal to a preset proportion threshold, thereby confirming the presence of block iron core rust on the pull-in coil of the contactor of the three-phase asynchronous motor;

[0022] Inventive concept C: Only when the real-time coil current of the pull-in coil of the contactor of the three-phase asynchronous motor is greater than or equal to the preset current limit, the time-sharing capture operation of the scene where the pull-in coil is located and the subsequent secondary targeted visual confirmation of the block core rust on the pull-in coil are initiated, thereby avoiding wasting excessive system energy consumption while improving the identification effect of the block core rust on the pull-in coil. DETAILED DESCRIPTION

[0023] The following is a detailed description of an embodiment of the method for identifying a target of a three-phase asynchronous motor according to the present invention. Example 1

[0024] According to a first embodiment of the present invention, a method for identifying a target of a three-phase asynchronous motor is provided, wherein the method comprises:

[0025] The current measuring mechanism is connected to the pull-in coil of the contactor of the three-phase asynchronous motor to measure the coil current of the pull-in coil to obtain and output the real-time coil current;

[0026] Specifically, connecting the current measuring mechanism to the pull-in coil of the contactor of the three-phase asynchronous motor to measure the coil current of the pull-in coil to obtain and output the real-time coil current includes: using a GAL chip to connect the current measuring mechanism to the pull-in coil of the contactor of the three-phase asynchronous motor to measure the coil current of the pull-in coil to obtain and output the real-time coil current;

[0027] A dynamic capture mechanism is arranged opposite to the pull-in coil and connected to the current measuring mechanism, and is used to start a time-sharing capture operation of the scene where the pull-in coil is located when the received real-time coil current is greater than or equal to a preset current limit, so as to obtain an instant capture image corresponding to the current moment;

[0028] connecting an affine transformation device to the dynamic capture mechanism to perform affine transformation processing on the received instantaneous captured image to obtain and output a corresponding affine transformed image;

[0029] Connecting a directional filtering device to the affine transformation device to perform directional filtering processing for removing impulse interference noise and salt and pepper noise on the received affine transformed image to obtain and output a corresponding directional filtered image;

[0030] Connecting a data sharpening device to the directional filtering device to perform spatial differential sharpening processing on the received directional filtered image to obtain and output a corresponding data sharpened image;

[0031] Connecting a secondary recognition device to the data sharpening device, configured to use an image area in the received data sharpened image that matches the color imaging feature corresponding to the iron core rust and in which the number of pixels occupying the data sharpened image exceeds or equals a set limit as a current reference area, identifying each object pixel in the current reference area according to a preset brightness value range corresponding to the iron core rust in the current reference area, performing a combination process on each object pixel in the current reference area after removing isolated pixels to obtain a pending object image block, and issuing a block rust detection signal when a proportion of the area occupied by the pending object image block in the data sharpened image is greater than or equal to a preset proportion threshold;

[0032] The secondary recognition device is further configured to issue a block rust non-detection signal when the area ratio of the block of the undetermined object image to the data sharpened image is less than the preset ratio threshold;

[0033] The image region in the received data-sharpened image that matches the color imaging feature corresponding to the iron core rust and in which the number of pixel points occupying the data-sharpened image exceeds or equals a set limit is used as the current reference region, including: the color imaging feature corresponding to the iron core rust being the respective numerical value distribution ranges corresponding to the respective color components of the iron core rust in the RGB color space;

[0034] Wherein, identifying each object pixel point in the current reference area according to the preset brightness value range corresponding to the iron core rust in the current reference area includes: the brightness value corresponding to each object pixel point is within the preset brightness value range corresponding to the iron core rust;

[0035] The method further comprises: each color component of each pixel in the RGB color space of each pixel in the current reference area falls within each of the value distribution ranges;

[0036] The dynamic capture mechanism is further configured to temporarily suspend the time-sharing capture operation of the scene where the pull-in coil is located when the received real-time coil current is less than the preset current limit. Example 2

[0037] A target recognition method for a three-phase asynchronous motor is shown in accordance with a second embodiment of the present invention.

[0038] Different from the first embodiment, the target recognition method of the three-phase asynchronous motor in the second embodiment may further include the following components:

[0039] Connecting a parameter configuration device to the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device, respectively, to provide the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device with respective required parameter configuration services;

[0040] The method further comprises: connecting the parameter configuration device to the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device respectively to provide the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device with the parameter configuration services required by the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device respectively; and

[0041] The parameter configuration device uses an IIC configuration bus to provide the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device with their respective required parameter configuration services, including: the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device have different IIC configuration addresses respectively;

[0042] The affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device respectively having different IIC configuration addresses includes: the different IIC configuration addresses respectively having the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device are in a binary value representation mode;

[0043] Among them, the different IIC configuration addresses respectively possessed by the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device are binary numerical representation modes, including: the byte lengths of the different IIC configuration addresses respectively possessed by the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device are equal. Example 3

[0044] Example 3 is a three-phase asynchronous motor target recognition method shown according to the third embodiment of the present invention.

[0045] Different from the first embodiment, the target recognition method of the three-phase asynchronous motor in the third embodiment may further include:

[0046] Connecting a positioning operation device to the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device, respectively, to provide positioning services for the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device, respectively;

[0047] The method further comprises: connecting the positioning operation device to the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device respectively to provide positioning services for the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device respectively, comprising: the positioning operation device using a GPS positioning mechanism to provide GPS positioning services for the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device respectively;

[0048] Among them, the positioning operation device is respectively connected to the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device to provide positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively, including: the positioning operation device adopts the Beidou positioning mechanism to provide Beidou positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively.

[0049] In addition, in the three-phase asynchronous motor target recognition method, each color component of each pixel point in the current reference area in the RGB color space falls within the respective numerical distribution ranges, including: the R color component of each pixel point in the current reference area in the RGB color space falls within the numerical distribution ranges corresponding to the R color component in the RGB color space corresponding to the iron core rust, the G color component of each pixel point in the current reference area in the RGB color space falls within the numerical distribution ranges corresponding to the G color component in the RGB color space corresponding to the iron core rust, and the B color component of each pixel point in the current reference area in the RGB color space falls within the numerical distribution ranges corresponding to the B color component in the RGB color space corresponding to the iron core rust.

[0050] The three-phase asynchronous motor target recognition method of the present invention is used to address the technical problem of insufficient recognition accuracy of the lumped core rust on the pull-in coil of the contactor of the three-phase asynchronous motor in the prior art. Only when the real-time coil current of the pull-in coil of the contactor of the three-phase asynchronous motor is greater than or equal to the preset current limit, the time-sharing capture operation of the scene where the pull-in coil is located and the subsequent secondary targeted visual confirmation of the lumped core rust on the pull-in coil are started. Then, a targeted visual analysis mechanism is used to complete the secondary targeted visual confirmation processing, thereby improving the recognition accuracy of the lumped core rust.

[0051] While the various features of the present invention have been described in detail with reference to the embodiments, it should be understood that these specific descriptions are for illustrative purposes only and that the present invention will be fully interpreted within the scope of the appended claims.

Claims

1. A three-phase asynchronous motor target recognition method, characterized in that: The method comprises: The current measuring mechanism is connected to the pull-in coil of the contactor of the three-phase asynchronous motor to measure the coil current of the pull-in coil to obtain and output the real-time coil current; A dynamic capture mechanism is arranged opposite to the pull-in coil and connected to the current measuring mechanism, and is used to start a time-sharing capture operation of the scene where the pull-in coil is located when the received real-time coil current is greater than or equal to a preset current limit, so as to obtain an instant capture image corresponding to the current moment; connecting an affine transformation device to the dynamic capture mechanism to perform affine transformation processing on the received instantaneous captured image to obtain and output a corresponding affine transformed image; Connecting a directional filtering device to the affine transformation device to perform directional filtering processing for removing impulse interference noise and salt and pepper noise on the received affine transformed image to obtain and output a corresponding directional filtered image; Connecting a data sharpening device to the directional filtering device to perform spatial differential sharpening processing on the received directional filtered image to obtain and output a corresponding data sharpened image; Connecting a secondary recognition device to the data sharpening device, configured to use an image area in the received data sharpened image that matches the color imaging feature corresponding to the iron core rust and in which the number of pixels occupying the data sharpened image exceeds or equals a set limit as a current reference area, identifying each object pixel in the current reference area according to a preset brightness value range corresponding to the iron core rust in the current reference area, performing a combination process on each object pixel in the current reference area after removing isolated pixels to obtain a pending object image block, and issuing a block rust detection signal when a proportion of the area occupied by the pending object image block in the data sharpened image is greater than or equal to a preset proportion threshold; The secondary recognition device is further configured to issue a block rust non-detection signal when the area ratio of the block of the undetermined object image to the data sharpened image is less than the preset ratio threshold; The image region in the received data-sharpened image that matches the color imaging feature corresponding to the iron core rust and in which the number of pixel points occupying the data-sharpened image exceeds or equals a set limit is used as the current reference region, including: the color imaging feature corresponding to the iron core rust being the respective numerical value distribution ranges corresponding to the respective color components of the iron core rust in the RGB color space; Wherein, identifying each object pixel point in the current reference area according to the preset brightness value range corresponding to the iron core rust in the current reference area includes: the brightness value corresponding to each object pixel point is within the preset brightness value range corresponding to the iron core rust; The method further comprises: for each pixel in the current reference area, each color component of the RGB color space falls within the respective value distribution ranges; The dynamic capture mechanism is further configured to temporarily suspend the time-sharing capture operation of the scene where the pull-in coil is located when the received real-time coil current is less than the preset current limit; Connecting a parameter configuration device to the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device, respectively, to provide the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device with respective required parameter configuration services; The parameter configuration device uses an IIC configuration bus to provide the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device with the parameter configuration services they need.

2. The three-phase asynchronous motor target recognition method according to claim 1, wherein: The parameter configuration device uses the IIC configuration bus to provide the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device with their respective required parameter configuration services, including: the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device have different IIC configuration addresses respectively.

3. The three-phase asynchronous motor target recognition method according to claim 2, wherein: The affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively have different IIC configuration addresses, including: the different IIC configuration addresses of the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively have binary numerical representation modes.

4. The three-phase asynchronous motor target recognition method according to claim 3, wherein: The different IIC configuration addresses respectively possessed by the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device are in a binary numerical representation mode, including: the byte lengths of the different IIC configuration addresses respectively possessed by the affine transformation device, the directional filtering device, the data sharpening device, and the secondary recognition device are equal.

5. The three-phase asynchronous motor target recognition method according to claim 1, characterized in that: The method further comprises: The positioning operation device is connected to the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively, so as to provide positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively.

6. The three-phase asynchronous motor target recognition method according to claim 5, characterized in that: The positioning operation device is connected to the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively to provide positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively, including: the positioning operation device uses the GPS positioning mechanism to provide GPS positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively.

7. The three-phase asynchronous motor target recognition method according to claim 5, wherein: The positioning operation device is respectively connected to the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device to provide positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively, including: the positioning operation device adopts the Beidou positioning mechanism to provide Beidou positioning services for the affine transformation device, the directional filtering device, the data sharpening device and the secondary recognition device respectively.