constant speed motor

Abstract

This invention relates to a constant speed electric motor, comprising a constant speed electric motor body, a heat sensing mechanism, a wireless camera mechanism, a gamma correction device, a brightness correction device, a data interpolation device, and a dual identification device. This invention can ensure accurate and reliable removal of surface oil contaminants from the constant speed electric motor.

Description

Technical Field

[0001] This invention relates to the field of constant speed motors, and more particularly to a constant speed motor. Background Technology

[0002] Speed-regulating motors can be categorized into stepped constant-speed motors, stepless constant-speed motors, stepped variable-speed motors, and stepless variable-speed motors. They also include electromagnetic speed-regulating motors, DC speed-regulating motors, PWM frequency conversion speed-regulating motors, switched reluctance speed-regulating motors, and so on. Based on the shape of the stator (copper wire) windings, motors are classified into round-wire motors and flat-wire motors. The trend towards flat-wire motors is a significant industry trend. Flat-wire motors use rectangular conductors in their stator windings, and these conductors are generally thicker. Round-wire motors, on the other hand, use multiple thin, round wires in their stator windings.

[0003] Therefore, constant speed motors are an important category of speed-regulating motors and are widely used. During the use of constant speed motors, the presence and degree of oil contamination on the surface of the cooling fins are crucial parameters affecting the motor's performance, requiring high-precision parameter analysis. However, current technology lacks constant speed motors with high-precision, targeted identification capabilities for surface oil contamination. Summary of the Invention

[0004] To address technical problems in related fields, this invention provides a constant-speed electric motor, comprising a constant-speed electric motor body and a linkage-type constant-speed electric motor oil stain identification system, the system comprising:

[0005] A heat sensing mechanism is installed inside the constant speed motor body 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 command 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.

[0006] A wireless camera mechanism is wirelessly connected to the heat sensing mechanism and is used to perform a camera action on the surface of the heat dissipation fins of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output the corresponding fin surface image.

[0007] A gamma correction device, connected to the wireless camera mechanism, is used to perform gamma correction processing on the received muscle surface image to obtain and output the corresponding gamma-corrected image.

[0008] A brightness correction device, connected to the gamma correction device, is used to perform brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output the corresponding brightness correction image;

[0009] A data interpolation device, connected to the brightness correction device, is used to perform nearest neighbor interpolation processing on the received brightness correction image to obtain and output the corresponding nearest neighbor interpolated image;

[0010] A dual identification device, connected to the data interpolation device, includes a primary identification unit, a static storage chip, and a secondary identification unit. The primary identification unit is connected to both the static storage chip and the secondary identification unit. The dual identification device is used to initially identify the image region containing oil in the received nearest neighbor interpolated image based on the brightness value distribution range corresponding to the oil stain. The brightness value distribution range corresponding to the oil stain is numerically limited by a preset upper brightness threshold and a preset lower brightness threshold. The dual identification device is also used to determine multiple geometric parameters corresponding to the geometry of the image region. A Hoffert neural network is used to intelligently identify whether the image region is confirmed as an image region containing oil stains based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and the maximum curvature corresponding to the geometry of the image region.

[0011] The method of using a Hofit neural network to intelligently identify whether an image region is confirmed as an image region containing oil contamination based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude includes: the Hofit neural network completing multiple learning operations, and the number of learning operations being inversely correlated with the signal-to-noise ratio of the nearest neighbor interpolated image.

[0012] This invention employs a custom-designed Hofmeister neural network to intelligently identify whether an image region is confirmed to contain oil contamination based on multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and maximum curvature of the image region's geometry. This achieves dual identification of the presence of oil contamination on-site, ensuring the accuracy and reliability of identifying the oil contamination distribution on the surface of the cooling fins of the constant speed motor body. Attached Figure Description

[0013] The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0014] Figure 1 This is a schematic diagram of the internal structure according to embodiment A of the present invention.

[0015] Figure 2 This is a schematic diagram of the internal structure according to embodiment B of the present invention.

[0016] Figure 3 This is a schematic diagram of the internal structure according to embodiment C of the present invention. Detailed Implementation

[0017] This invention provides a constant speed electric motor, including a constant speed electric motor body and a linkage-type constant speed electric motor oil stain identification system. The implementation scheme of the linkage-type constant speed electric motor oil stain identification system of this invention will be described in detail below with reference to the accompanying drawings.

[0018] Implementation Plan A

[0019] Figure 1 The diagram above illustrates the internal structure of a linkage-type constant-speed electric motor oil stain identification system according to embodiment A of the present invention. The system includes:

[0020] A heat sensing mechanism is installed inside the constant speed motor body 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 command 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.

[0021] Specifically, the heat sensing mechanism is installed 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. 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 command is issued. This includes: using a PLC logic device to implement the heat sensing mechanism, which is installed 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. 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 command is issued.

[0022] A wireless camera mechanism is wirelessly connected to the heat sensing mechanism and is used to perform a camera action on the surface of the heat dissipation fins of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output the corresponding fin surface image.

[0023] A gamma correction device, connected to the wireless camera mechanism, is used to perform gamma correction processing on the received muscle surface image to obtain and output the corresponding gamma-corrected image.

[0024] A brightness correction device, connected to the gamma correction device, is used to perform brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output the corresponding brightness correction image;

[0025] A data interpolation device, connected to the brightness correction device, is used to perform nearest neighbor interpolation processing on the received brightness correction image to obtain and output the corresponding nearest neighbor interpolated image;

[0026] A dual identification device, connected to the data interpolation device, includes a primary identification unit, a static storage chip, and a secondary identification unit. The primary identification unit is connected to both the static storage chip and the secondary identification unit. The dual identification device is used to initially identify the image region containing oil in the received nearest neighbor interpolated image based on the brightness value distribution range corresponding to the oil stain. The brightness value distribution range corresponding to the oil stain is numerically limited by a preset upper brightness threshold and a preset lower brightness threshold. The dual identification device is also used to determine multiple geometric parameters corresponding to the geometry of the image region. A Hoffert neural network is used to intelligently identify whether the image region is confirmed as an image region containing oil stains based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and the maximum curvature corresponding to the geometry of the image region.

[0027] For example, using a Hofit neural network to intelligently identify whether an image region is confirmed to be an image region with oil contamination based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude includes: simulating and testing the data processing process of intelligently identifying whether an image region is confirmed to be an image region with oil contamination using a Hofit neural network based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude in a numerical simulation mode;

[0028] The method of using a Hofit neural network to intelligently identify whether an image region is confirmed as an image region with oil contamination based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude includes: the Hofit neural network completing multiple learning operations and the number of learning operations being inversely correlated with the signal-to-noise ratio of the nearest neighbor interpolated image;

[0029] The heat sensing mechanism is also used to pause the issuance of wireless trigger commands when the heat storage value per unit volume in the internal environment of the constant speed motor body is less than the set heat threshold.

[0030] Implementation Plan B

[0031] Figure 2 The diagram shows the internal structure of a linkage constant speed electric motor oil stain identification system according to embodiment B of the present invention. The diagram includes the following components:

[0032] A heat sensing mechanism is installed inside the constant speed motor body 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 command 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.

[0033] A wireless camera mechanism is wirelessly connected to the heat sensing mechanism and is used to perform a camera action on the surface of the heat dissipation fins of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output the corresponding fin surface image.

[0034] A gamma correction device, connected to the wireless camera mechanism, is used to perform gamma correction processing on the received muscle surface image to obtain and output the corresponding gamma-corrected image.

[0035] A brightness correction device, connected to the gamma correction device, is used to perform brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output the corresponding brightness correction image;

[0036] A data interpolation device, connected to the brightness correction device, is used to perform nearest neighbor interpolation processing on the received brightness correction image to obtain and output the corresponding nearest neighbor interpolated image;

[0037] A dual identification device, connected to the data interpolation device, includes a primary identification unit, a static storage chip, and a secondary identification unit. The primary identification unit is connected to both the static storage chip and the secondary identification unit. The dual identification device is used to initially identify the image region containing oil in the received nearest neighbor interpolated image based on the brightness value distribution range corresponding to the oil stain. The brightness value distribution range corresponding to the oil stain is numerically limited by a preset upper brightness threshold and a preset lower brightness threshold. The dual identification device is also used to determine multiple geometric parameters corresponding to the geometry of the image region. A Hoffert neural network is used to intelligently identify whether the image region is confirmed as an image region containing oil stains based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and the maximum curvature corresponding to the geometry of the image region.

[0038] A 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 timing services required by the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device, respectively.

[0039] 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 timing services required by each of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device. The timing server uses the same timing clock to provide the timing services required by each of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

[0040] The timing server device uses the same timing clock to provide the timing services required by the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device 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.

[0041] Implementation Plan C

[0042] Figure 3 The diagram shows the internal structure of a linkage constant speed electric motor oil stain identification system according to embodiment C of the present invention. The diagram includes the following components:

[0043] A heat sensing mechanism is installed inside the constant speed motor body 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 command 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.

[0044] A wireless camera mechanism is wirelessly connected to the heat sensing mechanism and is used to perform a camera action on the surface of the heat dissipation fins of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output the corresponding fin surface image.

[0045] A gamma correction device, connected to the wireless camera mechanism, is used to perform gamma correction processing on the received muscle surface image to obtain and output the corresponding gamma-corrected image.

[0046] A brightness correction device, connected to the gamma correction device, is used to perform brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output the corresponding brightness correction image;

[0047] A data interpolation device, connected to the brightness correction device, is used to perform nearest neighbor interpolation processing on the received brightness correction image to obtain and output the corresponding nearest neighbor interpolated image;

[0048] A dual identification device, connected to the data interpolation device, includes a primary identification unit, a static storage chip, and a secondary identification unit. The primary identification unit is connected to both the static storage chip and the secondary identification unit. The dual identification device is used to initially identify the image region containing oil in the received nearest neighbor interpolated image based on the brightness value distribution range corresponding to the oil stain. The brightness value distribution range corresponding to the oil stain is numerically limited by a preset upper brightness threshold and a preset lower brightness threshold. The dual identification device is also used to determine multiple geometric parameters corresponding to the geometry of the image region. A Hoffert neural network is used to intelligently identify whether the image region is confirmed as an image region containing oil stains based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and the maximum curvature corresponding to the geometry of the image region.

[0049] 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 parallel data communication links between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

[0050] The 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 parallel data communication links between each pair of 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 each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

[0051] The 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 parallel data communication links between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device. This includes providing a 32-bit parallel data communication link between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

[0052] The 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 parallel data communication links between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device. This includes providing a 16-bit parallel data communication link between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

[0053] The parallel data bus, which 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 parallel data communication links between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device, further includes: the distance between each pair of 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.

[0054] In addition, in the constant speed motor body, the use of a Hofit neural network to intelligently identify whether an image region is confirmed to be an image region with oil contamination based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude includes: performing numerical normalization processing on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude, and then synchronously inputting them into the Hofit neural network, and running the Hofit neural network to obtain the identification label of the image region indicating whether the image region is confirmed to be an image region with oil contamination output by the Hofit neural network.

[0055] The embodiments of the present invention have at least the following three prominent substantive features:

[0056] 1: Based on the brightness value distribution range corresponding to the oil stain, the image region where the oil stain is located in the received nearest neighbor interpolated image is initially confirmed. The brightness value distribution range corresponding to the oil stain is numerically limited by a preset upper brightness threshold and a preset lower brightness threshold.

[0057] 2: The Hofit neural network is used to intelligently identify whether an image region is confirmed to contain oil based on multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and maximum curvature of the geometry of the image region, thereby completing the dual identification of whether there is oil on site, ensuring the accuracy and reliability of the identification of the presence of oil on site.

[0058] 3: Only when the heat storage value per unit volume of the internal environment of the constant speed motor body is sensed to be greater than or equal to the set heat threshold, will the camera action and subsequent dual oil stain identification operation on the surface of the heat dissipation fins of the constant speed motor body be triggered. This linkage identification mechanism improves the detection accuracy of oil stains on the surface of the heat dissipation fins of the constant speed motor body while avoiding a large waste of system power consumption.

[0059] The constant speed motor of this invention addresses the technical problem in the prior art of being unable to accurately and specifically identify whether there is oil on the surface of the heat dissipation fins of the constant speed motor body. By employing a custom-designed Hofit neural network to intelligently identify whether an image area is confirmed to have oil, a dual identification of whether there is oil on site is achieved, ensuring the accuracy and reliability of identifying the distribution of oil on the surface of the heat dissipation fins of the constant speed motor body.

[0060] This invention can be implemented in various ways without departing from its spirit and main features. Therefore, the above embodiments are merely illustrative in all respects, and the scope of this invention is as set forth in the claims and is not limited by the text of the specification. Furthermore, all modifications and alterations falling within the scope of the claims are within the scope of this invention.

Claims

1. A constant speed electric motor, comprising a constant speed electric motor body and a linkage-type constant speed electric motor oil stain identification system, characterized in that, The system includes: A heat sensing mechanism is installed inside the constant speed motor body 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 command 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 is wirelessly connected to the heat sensing mechanism and is used to perform a camera action on the surface of the heat dissipation fins of the constant speed motor body after receiving the wireless trigger command, so as to obtain and output the corresponding fin surface image. A gamma correction device, connected to the wireless camera mechanism, is used to perform gamma correction processing on the received muscle surface image to obtain and output the corresponding gamma-corrected image. A brightness correction device, connected to the gamma correction device, is used to perform brightness non-uniformity correction processing on the received gamma-corrected image to obtain and output the corresponding brightness correction image; A data interpolation device, connected to the brightness correction device, is used to perform nearest neighbor interpolation processing on the received brightness correction image to obtain and output the corresponding nearest neighbor interpolated image; A dual identification device, connected to the data interpolation device, includes a primary identification unit, a static storage chip, and a secondary identification unit. The primary identification unit is connected to both the static storage chip and the secondary identification unit. The dual identification device is used to initially identify the image region containing oil in the received nearest neighbor interpolated image based on the brightness value distribution range corresponding to the oil stain. The brightness value distribution range corresponding to the oil stain is numerically limited by a preset upper brightness threshold and a preset lower brightness threshold. The dual identification device is also used to determine multiple geometric parameters corresponding to the geometry of the image region. A Hoffert neural network is used to intelligently identify whether the image region is confirmed as an image region containing oil stains based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude. The multiple geometric parameters corresponding to the geometry of the image region are the average curvature and the maximum curvature corresponding to the geometry of the image region. The method of using a Hofit neural network to intelligently identify whether an image region is confirmed as an image region containing oil contamination based on the multiple geometric parameters, the number of noise types in the nearest neighbor interpolated image, and the maximum noise amplitude includes: the Hofit neural network completing multiple learning operations, and the number of learning operations being inversely correlated with the signal-to-noise ratio of the nearest neighbor interpolated image.

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

3. The constant speed motor as described in claim 2, characterized in that, The system also includes: A 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 timing services required by the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device, respectively. 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 timing services required by the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device respectively. The timing server uses the same timing clock to provide the timing services required by the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device respectively.

4. The constant speed electric motor as described in claim 3, characterized in that: The timing server uses the same timing clock to provide the timing services required by the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device, 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 reference clock signals of various changing waveforms of the same timing clock.

5. The constant speed electric motor as described in claim 3, characterized in that, The system also includes: 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, to provide parallel data communication links between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

6. The constant speed electric motor as described in claim 5, characterized in that: A parallel data bus, connected to the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device respectively, is used to provide parallel data communication links between each pair of 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 each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

7. The constant speed electric motor as described in claim 5, characterized in that: A parallel data bus, connected to the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device respectively, is used to provide parallel data communication links between each pair of 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 each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

8. The constant speed electric motor as described in claim 5, characterized in that: A parallel data bus, connected to the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device respectively, is used to provide parallel data communication links between each pair of 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 each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device.

9. The constant speed electric motor as described in claim 5, characterized in that: A parallel data bus, connected to the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device respectively, is used to provide parallel data communication links between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device. The bus further includes a distance between each pair of the gamma correction device, the brightness correction device, the data interpolation device, and the dual identification device that is less than or equal to a set distance threshold.

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