Constant-speed motor

Abstract

The invention relates to a constant-speed motor which comprises a constant-speed motor body, a heat induction mechanism, a wireless camera shooting mechanism, gamma correction equipment, brightness correction equipment, data interpolation equipment and a dual-identification device. According to the invention, the surface oil stain of the constant-speed motor can be accurately and reliably detected.

Description

Technical Field

[0001] The invention relates to the field of constant speed motors, and in particular to a constant speed motor. Background Art

[0002] Speed ​​regulating motors can be divided into stepped constant speed motors, stepless constant speed motors, stepped variable speed motors and stepless variable speed motors, as well as electromagnetic speed regulating motors, DC speed regulating motors, PWM variable frequency speed regulating motors, switched reluctance speed regulating motors, etc. According to the different shapes of the motor stator (copper wire) windings, motors are divided into round wire motors and flat wire motors. The flattening of motors is an important trend in the industry. The cross-sectional shape of the wire used in the stator winding of the flat wire motor is rectangular, and several of them are relatively thick. The stator winding of the round wire motor uses multiple thin round wires.

[0003] It can be seen that constant speed motors are an important category of speed regulating motors and are widely used. During the use of constant speed motors, whether there is oil on the surface of the heat dissipation ribs of the constant speed motors and the specific distribution of the oil are important parameters that affect the working performance of the constant speed motors, and high-precision parameter analysis is required. However, the existing technology lacks a constant speed motor that can accurately and specifically identify surface oil. Summary of the invention

[0004] In order to solve the technical problems in the related field, the present invention provides a constant speed motor, including a constant speed motor body and a linkage type constant speed motor oil pollution identification system, the system comprising: A heat sensing mechanism is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and to issue a wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold; A wireless camera mechanism, wirelessly connected to the heat sensing mechanism, is used to perform a camera operation on the surface of the heat dissipation ribs of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output a corresponding rib surface image; A gamma correction device, connected to the wireless camera mechanism, for performing gamma correction processing on the received muscle body surface image to obtain and output a corresponding gamma corrected image; a brightness correction device, connected to the gamma correction device, for performing brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output a corresponding brightness-corrected image; a data interpolation device, connected to the brightness correction device, for performing nearest neighbor interpolation processing on the received brightness correction image to obtain and output a corresponding nearest neighbor interpolation image; A dual identification device, connected to the data interpolation device and comprising a primary identification unit, a static storage chip and a secondary identification unit, wherein the primary identification unit is connected to the static storage chip and the secondary identification unit respectively, and the dual identification device is used to initially confirm the image area where the oil stain in the received nearest neighbor interpolation image is located based on the brightness value distribution interval corresponding to the oil stain, wherein the brightness value distribution interval corresponding to the oil stain is numerically limited by a preset brightness upper limit threshold and a preset brightness lower limit threshold, and the dual identification device is also used to determine a plurality of geometric parameters corresponding to the geometric shape of the image area, and adopt a Hoffitt neural network to intelligently identify whether the image area is confirmed as an image area with oil stain based on the plurality of geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude, wherein the plurality of geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area; Among them, using the Hoffet neural network to intelligently identify whether the image area is confirmed as an image area with oil pollution based on the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude includes: the Hoffet neural network completes multiple learning operations and the number of learning operations is inversely correlated with the signal-to-noise ratio of the nearest neighbor interpolation image.

[0005] The technology of the present invention adopts a custom-designed Hoffitt neural network to intelligently identify whether an image area is confirmed as an image area with oil stains based on multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude, wherein the multiple geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area, thereby completing the dual identification of whether there is oil stains on the scene, and ensuring the accuracy and reliability of the identification of the oil stain distribution on the surface of the heat dissipation ribs of the constant speed motor body. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0007] Figure 1 Schematic diagram of the internal structure according to Embodiment A of the present invention.

[0008] Figure 2 Schematic diagram of the internal structure according to Embodiment B of the present invention.

[0009] Figure 3 Schematic diagram of the internal structure according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0010] The present invention provides a constant speed motor, including a constant speed motor body and a linkage type constant speed motor oil pollution identification system. The implementation scheme of the linkage type constant speed motor oil pollution identification system of the present invention will be described in detail below with reference to the accompanying drawings.

[0011] Implementation A Figure 1 The internal structure diagram of the linkage type constant speed motor oil pollution identification system according to embodiment A of the present invention is shown, and the system comprises: A heat sensing mechanism is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and to issue a wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold; Specifically, the heat sensing mechanism is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold, a wireless trigger instruction is issued, including: using a PLC logic device to implement the heat sensing mechanism, which is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold, a wireless trigger instruction is issued; A wireless camera mechanism, wirelessly connected to the heat sensing mechanism, is used to perform a camera operation on the surface of the heat dissipation ribs of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output a corresponding rib surface image; A gamma correction device, connected to the wireless camera mechanism, for performing gamma correction processing on the received muscle body surface image to obtain and output a corresponding gamma corrected image; a brightness correction device, connected to the gamma correction device, for performing brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output a corresponding brightness-corrected image; a data interpolation device, connected to the brightness correction device, for performing nearest neighbor interpolation processing on the received brightness correction image to obtain and output a corresponding nearest neighbor interpolation image; A dual identification device, connected to the data interpolation device and comprising a primary identification unit, a static storage chip and a secondary identification unit, wherein the primary identification unit is connected to the static storage chip and the secondary identification unit respectively, and the dual identification device is used to initially confirm the image area where the oil stain in the received nearest neighbor interpolation image is located based on the brightness value distribution interval corresponding to the oil stain, wherein the brightness value distribution interval corresponding to the oil stain is numerically limited by a preset brightness upper limit threshold and a preset brightness lower limit threshold, and the dual identification device is also used to determine a plurality of geometric parameters corresponding to the geometric shape of the image area, and adopt a Hoffitt neural network to intelligently identify whether the image area is confirmed as an image area with oil stain based on the plurality of geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude, wherein the plurality of geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area; For example, using the Hoffet neural network to intelligently identify whether the image area is confirmed as an image area with oil stains based on the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude includes: using a numerical simulation mode to implement the simulation and test of the data processing process of using the Hoffet neural network to intelligently identify whether the image area is confirmed as an image area with oil stains based on the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude; Wherein, using the Hoffet neural network to intelligently identify whether the image area is confirmed as an image area with oil pollution based on the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude includes: the Hoffet neural network completes multiple learning operations and the number of learning operations is inversely correlated with the signal-to-noise ratio of the nearest neighbor interpolation image; Wherein, the heat sensing mechanism is also used to suspend the issuance of the wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is less than the set heat threshold.

[0012] Implementation Plan B Figure 2 The internal structure diagram of the linkage type constant speed motor oil pollution identification system according to the embodiment B of the present invention is shown, and the figure includes the following components: A heat sensing mechanism is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and to issue a wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold; A wireless camera mechanism, wirelessly connected to the heat sensing mechanism, is used to perform a camera operation on the surface of the heat dissipation ribs of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output a corresponding rib surface image; A gamma correction device, connected to the wireless camera mechanism, for performing gamma correction processing on the received muscle body surface image to obtain and output a corresponding gamma corrected image; a brightness correction device, connected to the gamma correction device, for performing brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output a corresponding brightness-corrected image; a data interpolation device, connected to the brightness correction device, for performing nearest neighbor interpolation processing on the received brightness correction image to obtain and output a corresponding nearest neighbor interpolation image; A dual identification device, connected to the data interpolation device and comprising a primary identification unit, a static storage chip and a secondary identification unit, wherein the primary identification unit is connected to the static storage chip and the secondary identification unit respectively, and the dual identification device is used to initially confirm the image area where the oil stain in the received nearest neighbor interpolation image is located based on the brightness value distribution interval corresponding to the oil stain, wherein the brightness value distribution interval corresponding to the oil stain is numerically limited by a preset brightness upper limit threshold and a preset brightness lower limit threshold, and the dual identification device is also used to determine a plurality of geometric parameters corresponding to the geometric shape of the image area, and adopt a Hoffitt neural network to intelligently identify whether the image area is confirmed as an image area with oil stain based on the plurality of geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude, wherein the plurality of geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area; A timing server device, connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, respectively, for providing the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with the timing services required by each device; The timing server is connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device respectively, and is used to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with the required timing services respectively, including: the timing server uses the same timing clock to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with the required timing services respectively; Among them, the timing server device uses the same timing clock to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with the timing services they need respectively, including: the timing server device uses the same timing clock to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with reference clock signals of various changing waveforms of the same timing clock.

[0013] Implementation Plan C Figure 3 The internal structure diagram of the linkage type constant speed motor oil pollution identification system according to the embodiment C of the present invention is shown, and the figure includes the following components: A heat sensing mechanism is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and to issue a wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold; A wireless camera mechanism, wirelessly connected to the heat sensing mechanism, is used to perform a camera operation on the surface of the heat dissipation ribs of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output a corresponding rib surface image; A gamma correction device, connected to the wireless camera mechanism, for performing gamma correction processing on the received muscle body surface image to obtain and output a corresponding gamma corrected image; a brightness correction device, connected to the gamma correction device, for performing brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output a corresponding brightness-corrected image; a data interpolation device, connected to the brightness correction device, for performing nearest neighbor interpolation processing on the received brightness correction image to obtain and output a corresponding nearest neighbor interpolation image; A dual identification device, connected to the data interpolation device and comprising a primary identification unit, a static storage chip and a secondary identification unit, wherein the primary identification unit is connected to the static storage chip and the secondary identification unit respectively, and the dual identification device is used to initially confirm the image area where the oil stain in the received nearest neighbor interpolation image is located based on the brightness value distribution interval corresponding to the oil stain, wherein the brightness value distribution interval corresponding to the oil stain is numerically limited by a preset brightness upper limit threshold and a preset brightness lower limit threshold, and the dual identification device is also used to determine a plurality of geometric parameters corresponding to the geometric shape of the image area, and adopt a Hoffitt neural network to intelligently identify whether the image area is confirmed as an image area with oil stain based on the plurality of geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude, wherein the plurality of geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area; A parallel data bus, connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, respectively, for providing a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device; Wherein, the parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, including: providing a 64-bit parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device; Wherein, the parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, including: providing a 32-bit parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device; Wherein, the parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, including: providing a 16-bit parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device; Among them, the parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device. It also includes: the distance between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device is less than or equal to the set distance threshold.

[0014] In addition, in the constant speed motor body, a Hoffet neural network is used to intelligently identify whether the image area is confirmed as an image area with oil stains based on the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude, including: numerically normalizing the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude, and then synchronously inputting them into the Hoffet neural network, and running the Hoffet neural network to obtain an identification mark output by the Hoffet neural network indicating whether the image area is confirmed as an image area with oil stains.

[0015] The embodiments of the present invention have at least the following three outstanding substantive features: 1: Initially confirming the image area where the oil stain in the received nearest neighbor interpolation image is located based on the brightness value distribution interval corresponding to the oil stain, wherein the brightness value distribution interval corresponding to the oil stain is numerically limited by a preset brightness upper limit threshold and a preset brightness lower limit threshold; 2: Using the Hoffitt neural network to intelligently identify whether an image area is confirmed as an image area with oil pollution based on multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image, and the maximum noise amplitude, wherein the multiple geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area, thereby completing the dual identification of whether there is oil pollution at the scene, ensuring the accuracy and reliability of the identification of the presence of oil pollution at the scene; 3: Only when it is sensed that the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to the set heat threshold, the camera action performed on the surface of the heat dissipation ribs of the constant speed motor body and the subsequent oil and dirt dual identification operation are triggered. This linkage identification mechanism improves the accuracy of oil and dirt detection on the surface of the heat dissipation ribs of the constant speed motor body while avoiding a large amount of system power consumption waste.

[0016] By adopting the constant speed motor of the present invention, the technical problem that the prior art cannot accurately and specifically identify whether there is oil stain on the surface of the heat dissipation ribs of the constant speed motor body, a customized Hoffitt neural network is used to intelligently identify whether an image area is confirmed as an image area with oil stains, thereby completing the double identification of whether there is oil stains on the scene, thereby ensuring the accuracy and reliability of the identification of the oil stain distribution on the surface of the heat dissipation ribs of the constant speed motor body.

[0017] The present invention can be implemented in various ways without departing from its main purpose and main features. Therefore, the above-mentioned embodiments are merely examples in all respects, and the scope of the present invention is as shown in the scope of the claims, and is not subject to any restrictions in the main text of the specification. Moreover, all modifications and changes within the scope of the claims are within the scope of the present invention.

Claims

1. A constant speed motor, comprising a constant speed motor body and a linkage type constant speed motor oil pollution identification system, characterized in that: The system comprises: A heat sensing mechanism is arranged inside the constant speed motor body, and is used to sense the heat storage value per unit volume of the internal environment of the constant speed motor body, and to issue a wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is greater than or equal to a set heat threshold; A wireless camera mechanism, wirelessly connected to the heat sensing mechanism, is used to perform a camera operation on the surface of the heat dissipation ribs of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output a corresponding rib surface image; A gamma correction device, connected to the wireless camera mechanism, for performing gamma correction processing on the received muscle body surface image to obtain and output a corresponding gamma corrected image; a brightness correction device, connected to the gamma correction device, for performing brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output a corresponding brightness-corrected image; a data interpolation device, connected to the brightness correction device, for performing nearest neighbor interpolation processing on the received brightness correction image to obtain and output a corresponding nearest neighbor interpolation image; A dual identification device, connected to the data interpolation device and comprising a primary identification unit, a static storage chip and a secondary identification unit, wherein the primary identification unit is connected to the static storage chip and the secondary identification unit respectively, and the dual identification device is used to initially confirm the image area where the oil stain in the received nearest neighbor interpolation image is located based on the brightness value distribution interval corresponding to the oil stain, wherein the brightness value distribution interval corresponding to the oil stain is numerically limited by a preset brightness upper limit threshold and a preset brightness lower limit threshold, and the dual identification device is also used to determine a plurality of geometric parameters corresponding to the geometric shape of the image area, and adopt a Hoffitt neural network to intelligently identify whether the image area is confirmed as an image area with oil stain based on the plurality of geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude, wherein the plurality of geometric parameters corresponding to the geometric shape of the image area are the average curvature and the maximum curvature corresponding to the geometric shape of the image area; Among them, using the Hoffet neural network to intelligently identify whether the image area is confirmed as an image area with oil pollution based on the multiple geometric parameters, the number of noise types of the nearest neighbor interpolation image and the maximum noise amplitude includes: the Hoffet neural network completes multiple learning operations and the number of learning operations is inversely correlated with the signal-to-noise ratio of the nearest neighbor interpolation image.

2. The constant speed motor according to claim 1, characterized in that: The heat sensing mechanism is also used to suspend the issuance of the wireless trigger instruction when the heat storage value per unit volume of the internal environment of the constant speed motor body is less than the set heat threshold.

3. The constant speed motor according to claim 2, characterized in that: The system further comprises: A timing server device, connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, respectively, for providing the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with the timing services required by each device; Among them, the timing server device is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with their respective required timing services, including: the timing server device uses the same timing clock to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with their respective required timing services.

4. The constant speed motor according to claim 3, characterized in that: The timing server device uses the same timing clock to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with the timing services they need, including: the timing server device uses the same timing clock to provide the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device with reference clock signals of various changing waveforms of the same timing clock.

5. The constant speed motor according to claim 3, characterized in that: The system further comprises: A parallel data bus is connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device respectively, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device.

6. The constant speed motor according to claim 5, characterized in that: A parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, including: providing a 64-bit parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device.

7. The constant speed motor according to claim 5, characterized in that: A parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, including: providing a 32-bit parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device.

8. The constant speed motor according to claim 5, characterized in that: A parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, including: providing a 16-bit parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device.

9. The constant speed motor according to claim 5, characterized in that: A parallel data bus is respectively connected to the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device, and is used to provide a parallel data communication link between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device. The parallel data bus also includes: the distance between the gamma correction device, the brightness correction device, the data interpolation device and the dual identification device is less than or equal to a set distance threshold.

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