Preparation method of charging pile electronic lock motor

Abstract

This invention provides a method for manufacturing an electronic lock motor for a charging pile, comprising: S1 manufacturing a micro motor and a reduction gearbox, and setting an absolute encoder at the output end of the micro motor; S2 providing a high-definition pinhole camera device, and manufacturing a face recognition system and / or a fingerprint recognition system; S3 manufacturing a main control circuit board that communicates with a cloud server, and sending data from the face recognition system and / or fingerprint recognition system to a user's smart mobile terminal. The user's smart mobile terminal can confirm charging based on the received data and the power access signal from the vehicle computer, forming a confirmation signal. The cloud server then receives the confirmation signal from the user's smart mobile terminal and sends a formal charging start signal to the charging pile. The smart charging gun includes a smart motor manufactured using the above method, improving the stability, reliability, billing effectiveness, and accuracy of the charging connection.

Description

Technical Field

[0001] This invention relates to a method for manufacturing an electronic lock motor for charging piles, belonging to the field of intelligent lock body drive. Background Technology

[0002] The electronic lock motor of a charging station is a micro-drive motor, assembled from a micro motor and a gearbox reducer, making it a type of geared motor device. Micro-drive motors include brushed DC motors, brushless DC motors, stepper motors, coreless motors, and servo motors; the reduction gearboxes include traditional planetary gearboxes, cylindrical gearboxes, and worm gearboxes. Existing locking schemes are primarily related to billing, aiming to prevent billing from continuing even when the lock is loose. Therefore, improvements are needed to the insertion and removal force of the electric gun and the reliability of the locking mechanism.

[0003] Therefore, in terms of drive, it is necessary to ensure the stability of the locking and unlocking positions of the drive lever. This essentially depends on the matching of the gear teeth and the number of motor rotations. This is because, assuming the desired locking and unlocking positions are fixed when the gears and motor are properly assembled, the gear teeth move back and forth under this premise, and the number of motor rotations is also fixed during a locking and unlocking process. Therefore, there is a fixed matching relationship between this back-and-forth motion and the number of rotations. Once this fixed relationship deviates to a certain threshold, incomplete locking or even no locking at all will occur.

[0004] Therefore, how to monitor the matching relationship between tooth position and motor rotation number has become a key issue in solving the self-intelligent judgment of electronic locks. Summary of the Invention

[0005] To address the aforementioned problems, this invention considers the following aspects: First, modifying the reducer by incorporating a device capable of monitoring the tooth position of any rotating gear; second, modifying the motor output to enable monitoring of the motor's rotation count; and third, considering connection with the vehicle's onboard computer to establish a confirmation relationship between the battery system charging signal and the lockout confirmation.

[0006] In view of the above considerations, the present invention will provide a method for manufacturing an electronic lock motor for a charging pile, comprising the following steps: S1 manufacturing a micro motor and a gearbox, setting an absolute encoder at the output end of the micro motor, and connecting a drive gear at the output end of the absolute encoder so that the drive gear meshes with the gear set in the gearbox;

[0007] S2 provides a high-definition pinhole camera device, which is mounted on the reduction gearbox and used to capture images of the gear set, while also preparing a face recognition system and / or fingerprint recognition system;

[0008] S3 is a main control circuit board that communicates with the cloud server. It receives data from an absolute encoder, a high-definition pinhole camera, a facial recognition system, and / or a fingerprint recognition system. It then sends the data from the facial recognition system and / or fingerprint recognition system to the user's smart mobile terminal. The user's smart mobile terminal confirms charging based on the received data and the power access signal from the vehicle's computer, generating a confirmation signal. The cloud server receives this confirmation signal from the user's smart mobile terminal and sends a formal charging start signal to the charging pile, initiating the charging process.

[0009] The gearbox includes a receiving cavity for accommodating the high-definition pinhole camera device, the absolute encoder, the high-definition pinhole camera device, the face recognition system and / or the fingerprint recognition system, and shares the same power supply with the micro motor. A transformer is provided at the output end of the power supply to meet the power supply waveform of the absolute encoder, the high-definition pinhole camera device, the face recognition system and / or the fingerprint recognition system.

[0010] Optionally, the high-definition pinhole camera device includes a high-definition pinhole camera, an illumination device, and a control chip that communicates with the main control circuit board.

[0011] Optionally, the lighting device includes an LED and a light-diffusing plate disposed in front of the LED.

[0012] Optionally, the alignment of the gear set is a predetermined positioning gear on the alignment gear set. The positioning gear includes two calibration teeth, which are used to calibrate the locking and unlocking positions of the rotating rod at the output end of the gear set using the high-definition pinhole camera device.

[0013] Optionally, the main control circuit board processes and analyzes whether the locking position and unlocking position deviate beyond the threshold based on the data received from the absolute encoder and the calibration data of the two calibration teeth from the pinhole camera.

[0014] Optionally, the two calibration teeth that mark the locking and unlocking positions are respectively marked with markers.

[0015] Preferably, the markers are different colors applied to the two marking teeth respectively.

[0016] More preferably, the receiving cavity is located above the positioning gear, and the different colors are respectively located on the non-meshing surfaces of the two calibration teeth.

[0017] Optionally, the face recognition system and the fingerprint recognition system each include a micro-camera mounted on an electron gun and a fingerprint sensor, and each includes a recognition chip that communicates with the main control circuit board. Each recognition chip can generate an electron gun connection completion signal based on the first recognized face and the first recognized fingerprint, and after subsequent detection to see if the same face and the same fingerprint are no longer recognized, and so on, as data received by the face recognition system and / or the fingerprint recognition system from the main control circuit board.

[0018] Preferably, the main control circuit board is able to periodically acquire signals from the micro camera and the fingerprint sensor.

[0019] Preferably, the periodic sampling is performed every 1-3 seconds, and the subsequent re-detection lasts for 2-15 seconds.

[0020] Optionally, the method for generating the power input signal from the vehicle-mounted computer is as follows:

[0021] After receiving the signal that the electron gun connection is complete, the S3-1 main control circuit board sends the signal to the cloud server.

[0022] The S3-2 cloud server controls the charging pile to start a trial charge with a pulse. After the on-board computer recognizes the battery trial charge signal, it will use the trial charge signal as a power input signal.

[0023] Optionally, the trial charging time is 5s-30s and is included in the total charging time.

[0024] Understandably, when a person holds the electron gun and connects it to the charging port, or when their face is captured and their fingerprint is detected on the preset grip of the electron gun, the person will release their grip after the connection is complete and will most likely leave the range of the face captured by the micro-camera on the electron gun. This allows for multiple confirmations at subsequent moments that the same face and / or fingerprint has not been recognized again. Thus, the recognition chip determines that the connection is complete and generates an electron gun connection completion signal as data received by the face recognition system and / or fingerprint recognition system from the main control circuit board. This data is then transmitted to the main control circuit board, which finally sends it to the smart mobile terminal. At this point, the user confirms the data received and the power access signal from the vehicle's computer to officially start charging. This ensures the accuracy of charging connection and billing.

[0025] Furthermore, since the trial charging time is included in the total charging time, it does not result in any billing loss. Users only need to confirm on their smart mobile terminal to immediately begin the formal charging process after the trial charging ends, without excessive waiting time. This ensures both reliable locking and unlocking confirmation, as well as double confirmation of the charging electrical connection. This guarantees no loss of billing during charging, no change to the charging plug-in / unplugging process, and no significant increase in time, while maintaining stable mechanical and electrical connection states, and achieving lossless billing and charging.

[0026] Optionally, the main control circuit board processes and analyzes whether the locking and unlocking positions deviate beyond the threshold based on the data received from the absolute encoder and the calibration data of the two calibration teeth from the high-definition pinhole camera. Specifically, this includes:

[0027] S3-3 The control chip, according to the instruction issued by the main control circuit board after detecting the position of the absolute encoder at the corresponding position of the locking position and the unlocking position, triggers the high-definition pinhole camera to capture two standard macro images of the positioning gear, which are used as the standard images corresponding to the locking position and the unlocking position, respectively. The two standard images are transmitted to the main control circuit board as calibration data, and the main control circuit board performs cropping, leaving only the rectangular part of the image containing the complete marker.

[0028] In the actual locking and unlocking operations, S3-4 triggers the high-definition pinhole camera device to capture two measured macro images of the positioning gear as in step S3-3, and then crops them in the same way.

[0029] The main control circuit board described in S3-5 uses the two sides of the partial image as the horizontal and vertical axes of a Cartesian coordinate system. It fuses the partial images corresponding to the locked and unlocked positions with the corresponding cropped partial images of the measured macro images. An edge recognition algorithm is used to extract the contours containing markers, and the horizontal and vertical spans of the contours in the Cartesian coordinate system are calculated. x and Sp y Set horizontal and vertical span thresholds Th respectively. x and Th y If Sp x ≤Th x And Sp y ≤Th y If the lock and unlock are successful, the main control circuit board will issue a prompt message; otherwise, the lock and unlock will be successful.

[0030] Optionally, both the main control circuit board and the vehicle-mounted computer are connected to the user's smart mobile terminal via Bluetooth; the prompt information issued by the main control circuit board includes any one of the following: a voice message from the electron gun, an alarm sent to the electron gun display screen, or an alarm sent to the user's smart mobile terminal.

[0031] One aspect of the present invention provides a charging gun equipped with a smart motor prepared by the above method, comprising a main body, a charging cable connected to the main body, a grip portion disposed on the main body, a drive device compartment extending from the grip portion and connected to the main body, and a display screen therein.

[0032] The gripping part is hollow and communicates with the drive device compartment. The intelligent motor is arranged in the hollow part and the drive device compartment. The micro motor, the gearbox, and the high-definition pinhole camera are arranged in the drive device compartment. The face recognition system and / or fingerprint recognition system, the main control circuit board, and the display screen are arranged in the hollow part. The gripping part has a face recognition area and / or fingerprint recognition area and a display area of ​​the display screen. A cable management channel is also arranged in the hollow part and the drive device compartment for managing the cables for signal transmission of the absolute encoder, the high-definition pinhole camera, the micro motor, the face recognition system and fingerprint recognition system, the main control circuit board, and the display screen. A power supply line is also arranged in part of the hollow part and the main body hollow part for powering the absolute encoder, the high-definition pinhole camera, the micro motor, the face recognition system and fingerprint recognition system, the main control circuit board, and the display screen.

[0033] Beneficial effects

[0034] 1. A high-definition camera is introduced into the reduction gearbox of the selected positioning gear to capture images, and an absolute encoder is installed on the micro motor to achieve real-time monitoring of the locking and unlocking positions, and to monitor and confirm the mechanical insertion and removal.

[0035] 2. By utilizing facial recognition and fingerprint recognition technology, the completion of the plugging and unplugging action is confirmed, and the charging attempt is confirmed. This achieves dual confirmation of mechanical and electrical connection, and the trial charging time is included in the total charging time. Therefore, even with a stable connection, there will be no omissions or overcharging, which improves the stability and reliability of electric vehicle charging connection, as well as the effectiveness and accuracy of billing. Attached Figure Description

[0036] Figure 1 The method for manufacturing an electronic lock motor for a charging pile, as shown in Embodiment 1 of this invention, involves the structure and installation of a drive device and a high-definition pinhole camera.

[0037] Figure 2 The schematic diagram of the charging gun in Embodiment 2 of the present invention shows the installation positions of the driving device, high-definition pinhole camera, face recognition system and fingerprint recognition system in the charging gun, and also provides a front view of the screen display.

[0038] Figure 3 A simplified flowchart of the algorithm for determining whether locking is successful, using the locking position as an example.

[0039] Among them, 1-micro motor, 11-micro motor output end, 12-absolute encoder, 13-absolute encoder output end, 2-reduction gearbox, 21-micro motor cavity, 22-accommodating cavity, 23-positioning gear, 24-calibration gear A, 25-calibration gear B, 26-coloring A, 27-coloring B, 28-rotating rod, 3-high-definition pinhole camera device, 40-thumb, 41-main body, 42-charging cable, 43-grip, 44-drive device compartment, 45-display screen, 46-face recognition system, 47-fingerprint recognition system, 48-main control circuit board, 49-hub channel, 50-power supply line. Detailed Implementation

[0040] Example 1

[0041] This embodiment provides a method for manufacturing an electronic lock motor for a charging pile, including the following steps:

[0042] Step S1 involves preparing a micro motor 1 and a gearbox 2, thereby providing a drive device for the lock body.

[0043] like Figure 1 As shown, in order to monitor whether the drive motion state at the output end of the micro motor 11 matches the desired locking and unlocking positions after deceleration from the output end of the gearbox, an absolute encoder 12 needs to be installed at the output end of the micro motor 11. The absolute encoder 12 is installed inside the micro motor cavity 21 connected to the gearbox, so that the output end 13 of the absolute encoder is connected to the drive gear, causing the drive gear to mesh with the gear set in the gearbox 2. Figure 1 (The state after engagement is not shown in the image).

[0044] On the other hand, in step S2, a high-definition pinhole camera device 3 needs to be provided and installed in the integrated or detachable receiving cavity 22 on the gearbox 2. Figure 2 As shown), it is used to align the gear set for imaging; it also provides a face recognition system and / or a fingerprint recognition system.

[0045] like Figure 2As shown, when a person holds the charging gun, their thumb 40 can naturally contact the fingerprint recognition area of ​​the grip. Based on the typical posture of inserting the charging gun into the electric vehicle's charging port, during the insertion process, the face is highly likely to be within the facial recognition area above the fingerprint recognition area, within the detectable range of the facial recognition system (generally within ±50°-60° on each side of the facial recognition area's axis of symmetry). Through these two recognition systems, both the face and thumbprint can be tested independently. If the first recognition attempt fails and there are three subsequent pre-set failures, it is predicted that the charging gun has been successfully connected to the charging port. This is because after insertion, the person will typically release their grip and move out of the charging gun's facial recognition range, at which point the face and fingerprint will no longer be recognized. After 2-3 failures, it is predicted that the mechanical connection is complete.

[0046] Specifically, Figure 2 The face recognition system and fingerprint recognition system each include a micro-camera mounted on an electron gun and a fingerprint sensor, and each includes a recognition chip that communicates with the main control circuit board. Each recognition chip can obtain an electron gun connection completion signal based on the first recognized face and the first recognized fingerprint, and subsequent detection to see if the same face and fingerprint are no longer recognized. This three-time recognition process serves as the data received by the main control circuit board from the face recognition system and the fingerprint recognition system.

[0047] The main control circuit board can collect signals from the micro camera and fingerprint sensor every 2 seconds, and the subsequent detection time is 6 seconds.

[0048] However, whether it is truly completed and how stable it is still needs to be determined by electrical connection testing.

[0049] Therefore, step S3 is required, that is, in the manufacturing of the smart motor, a main control circuit board that communicates with the designated cloud server is also needed. For example... Figure 2 As shown, the main control circuit board is used to receive data from the aforementioned absolute encoder 12, pinhole camera, face recognition system, and fingerprint recognition system, and to send the data from the face recognition system and fingerprint recognition system to the user's smart mobile terminal, such as a smartphone (or tablet), via Bluetooth. This enables the smartphone to confirm charging based on the received data and the power access signal from the vehicle computer, which is also received via Bluetooth, forming a confirmation signal and sending it to the cloud server. The cloud server then sends a formal charging start signal to the charging pile to initiate the charging process.

[0050] The method for generating the power input signal from the vehicle-mounted computer is as follows:

[0051] like Figure 2 As shown, after receiving the signal indicating that the electron gun connection is complete, the S3-1 main control circuit board sends the signal to the cloud server.

[0052] The S3-2 cloud server controls the charging pile to start a 10-second trial charge via pulse. After the on-board computer recognizes the battery trial charge signal, it will use the trial charge signal as a power input signal and include the 10-second trial charge in the total charging time.

[0053] Thus, through the dual confirmation of mechanical connection and electrical connection during trial charging, a stable connection was confirmed.

[0054] The confirmation of the former's mechanical insertion and removal is specifically reflected in: the alignment of the gear set is a scheme where a predetermined positioning gear is positioned on the gear set, and this positioning gear 23 (only shown in the figure, other gears in the gear set are not shown) includes still as Figure 2 The two calibration teeth shown, calibration tooth A (24) and calibration tooth B (24), are colored on the non-meshing surface (i.e. the wheel surface on the positioning tooth that is not easily worn), specifically by dotting red (coloring A, 26) and green (coloring B, 27), respectively, to represent the locked position and unlocked position reached by the micro motor 1 prepared in step S1.

[0055] At this time, the high-definition pinhole camera device set in the cavity shown in the figure (which is made transparent to facilitate understanding of the position of the positioning gear) captures images of two colored points as calibration data. At the same time, considering the position data of the absolute encoder (that is, the data that the absolute encoder transmits to the main control circuit board), the rotating rod 28 of the gear set shown in the figure can be calibrated to be in the locked position and the unlocked position at the output end of the gearbox.

[0056] Therefore, the main control circuit board processes and analyzes whether the locking position and unlocking position deviate beyond the threshold based on the data received from the absolute encoder and the calibration data of the two calibration teeth from the high-definition pinhole camera.

[0057] To achieve high-definition acquisition of calibration data such as images within a relatively small cavity, specifically in this embodiment, the high-definition pinhole camera device includes a high-definition pinhole camera, an illumination device, and a control chip communicating with the main control circuit board. The illumination device includes LEDs (in the form of LED beads) mounted on the control chip, and a light-diffusing plate positioned in front of the LEDs. Figure 2 More specifically, to enhance the support of the light-diffusing plate, one side of the light-diffusing plate has a light-diffusing plate bracket connected to the edge of the control chip. A suitable cavity height dimension is provided based on the focal length of the high-definition pinhole camera (typically 5mm). Therefore, the image is essentially a macro image.

[0058] The main control circuit board processes and analyzes whether the locking and unlocking positions have deviated beyond a threshold based on the data received from the absolute encoder and the calibration data of the two calibration teeth from the high-definition pinhole camera. Specifically, this includes, for example... Figure 3 As shown, with Figure 2 Taking the locked position of color A as an example, the unlocking situation is analyzed similarly:

[0059] The control chip in S3-3, according to the instructions set by the main control circuit board, triggers the high-definition pinhole camera to capture images when it detects that the absolute encoder is at the position corresponding to the locking position. Figure 2 The standard macro image of the positioning gear is used as the standard image corresponding to the locking position, and the standard image is transmitted as calibration data to... Figure 2 The main control circuit board in the image is cut to leave only a rectangular portion containing the complete marker;

[0060] In the actual locking operation, S3-4 triggers the high-definition pinhole camera to capture the measured macro image of the positioning gear as in step S3-3, and then crops it in the same way.

[0061] S3-5 uses the two sides of the partial image as the horizontal (X) and vertical (Y) coordinate axes of a Cartesian coordinate system on the main control circuit board. It merges the partial image corresponding to the locking position with the cropped partial image of the corresponding measured macro image. An edge recognition algorithm extracts the contour containing the colored A and calculates the horizontal and vertical span of the contour in the Cartesian coordinate system. x and Sp y Set horizontal and vertical span thresholds Th respectively. x and Th y In this embodiment, Th x =Th y .

[0062] like Figure 3 As shown, due to Sp x >Th x Sp y =Th y Locking failed at this time. Figure 2 The main control circuit board in the middle issues a voice prompt, and at the same time... Figure 2 The alarm connection on the central display screen and smartphone is not in place.

[0063] If the user attempts to connect again and successfully establishes a predictive confirmation connection via face and fingerprint recognition, but the alarm still sounds, it may indicate a malfunction in the drive mechanism or lock body. In this case, alarms can still be issued via voice, display screen, and smartphone. Voice alerts can be implemented by connecting a speaker to the main control circuit board.

[0064] Finally, regarding the power supply, the absolute encoder 12, the high-definition pinhole camera 3, the face recognition system, and the fingerprint recognition system share the same power supply as the micro motor 1. Figure 2 (not shown in the image), and a transformer is installed at the output terminal of the power supply. Figure 2 (Not shown) The power supply waveform is required to satisfy the absolute encoder 12, the high-definition pinhole camera 3, the face recognition system, and / or the fingerprint recognition system. Specifically, this can be achieved through the power supply and transformer installed on the charging pile.

[0065] Example 2

[0066] This embodiment will provide a charging gun equipped with a smart motor prepared by the above method, such as... Figure 2 As shown, it includes a main body 41, a charging cable 42 connected to the main body 41, a grip portion 43 provided on the main body 41, a drive unit compartment 44 extending from the grip portion 43 and connected to the main body 41, and a display screen 45.

[0067] The grip portion 43 is hollow and communicates with the drive device compartment 44. The intelligent motor is housed within the hollow grip portion 43 and the drive device compartment. The micro motor 1, the gearbox 2, and the high-definition pinhole camera 3 are housed within the drive device compartment 44. A face recognition system 46, a fingerprint recognition system 47, a main control circuit board 48, and a display screen 45 are housed within the hollow grip portion 43. The grip portion 43 has a face recognition area, a fingerprint recognition area, and a display area. The hollow grip portion 43 is connected to the drive device... The compartment 44 is also equipped with a cable management channel 49 for managing the signal lines that transmit signals to the absolute encoder 12, the high-definition pinhole camera 3, the micro motor 1, the face recognition system 46, the fingerprint recognition system 47, the main control circuit board 48, and the display screen 45. The hollow part of the grip 43 and the hollow part of the main body 41 also have power supply lines 50 for supplying power to the absolute encoder 12, the high-definition pinhole camera 3, the micro motor 1, the face recognition system 46, the fingerprint recognition system 47, the main control circuit board 48, and the display screen 45.

[0068] In particular, the power supply for the absolute encoder 12, the high-definition pinhole camera 3, the micro motor 1, the face recognition system 46, and the fingerprint recognition system 47 is provided by connecting the power supply cable through a hub channel.

Claims

1. A preparation method of a charging pile electronic lock motor, characterized in that, Includes the following steps: S1. Prepare a micro motor and a gearbox. Set an absolute encoder at the output end of the micro motor. Connect the output end of the absolute encoder to a drive gear so that the drive gear meshes with the gear set in the gearbox. S2. Provide a high-definition pinhole camera device, which is mounted on the gearbox and used to capture images of the gear set. At the same time, prepare a face recognition system and / or a fingerprint recognition system. S3. Prepare a main control circuit board for communication with the cloud server. This circuit board receives data from an absolute encoder, a high-definition pinhole camera, a face recognition system, and / or a fingerprint recognition system. It then sends the data from the face recognition system and / or fingerprint recognition system to the user's smart mobile terminal. The user's smart mobile terminal confirms charging based on the received data and the power access signal from the vehicle's computer, generating a confirmation signal. The cloud server receives this confirmation signal from the user's smart mobile terminal and sends a formal charging start signal to the charging pile, initiating the charging process. The gearbox includes a receiving cavity for accommodating the high-definition pinhole camera device, the absolute encoder, the high-definition pinhole camera device, the face recognition system and / or the fingerprint recognition system, and shares the same power supply with the micro motor. A transformer is provided at the output end of the power supply to meet the power supply waveform of the absolute encoder, the high-definition pinhole camera device, the face recognition system and / or the fingerprint recognition system.

2. The method of claim 1, wherein, The high-definition pinhole camera device includes a high-definition pinhole camera, a lighting device, and a control chip that communicates with the main control circuit board. The lighting device includes an LED and a light-diffusing plate disposed in front of the LED, with a light-diffusing plate bracket on one side connected to the edge of the control chip.

3. The method according to claim 1, characterized in that, The alignment gear set is a predetermined positioning gear on the alignment gear set. The positioning gear includes two calibration teeth, which are used to calibrate the locking and unlocking positions of the rotating rod at the output end of the gear set using the high-definition pinhole camera device.

4. The method of claim 3, wherein, The main control circuit board processes and analyzes whether the locking and unlocking positions deviate beyond the threshold based on the data received from the absolute encoder and the calibration data of the two calibration teeth from the pinhole camera. The two calibrating teeth that mark the locking and unlocking positions are respectively marked with markers; The markers are different colors applied to the two marking teeth; The receiving cavity is located above the positioning gear, and the different colors are respectively located on the non-meshing surfaces of the two calibration teeth.

5. The method according to any one of claims 1-4, characterized in that, The face recognition system and the fingerprint recognition system each include a micro-camera mounted on an electron gun and a fingerprint sensor, and each includes a recognition chip that communicates with the main control circuit board. Each recognition chip can generate an electron gun connection completion signal based on the first recognized face and the first recognized fingerprint, and after subsequent detection to see if the same face and the same fingerprint are no longer recognized, and so on, as data received by the face recognition system and / or the fingerprint recognition system from the main control circuit board.

6. The method of claim 1, wherein, The main control circuit board can periodically collect signals from the micro camera and the fingerprint sensor; The periodic sampling occurs every 1-3 seconds, with subsequent re-detection intervals of 2-15 seconds.

7. The method of claim 1, wherein, The method for generating the power input signal from the vehicle-mounted computer is as follows: S3-1. After receiving the signal that the electron gun connection is complete, the main control circuit board sends the signal to the cloud server. S3-2, The cloud server controls the charging pile to start a trial charge with a pulse. After the vehicle computer recognizes the battery trial charge signal, it will use the trial charge signal as a power input signal. The trial charging time is 5s-30s, and it is included in the total charging time.

8. The method of claim 4, wherein, The main control circuit board processes and analyzes whether the locking and unlocking positions deviate beyond the threshold based on the data received from the absolute encoder and the calibration data of the two calibration teeth from the high-definition pinhole camera. Specifically, this includes: S3-3. The control chip of the high-definition pinhole camera device, according to the instruction issued by the main control circuit board after detecting the position of the absolute encoder at the corresponding position of the locking position and the unlocking position, triggers the high-definition pinhole camera device to capture two standard macro images of the positioning gear, which are used as standard images corresponding to the locking position and the unlocking position, respectively. The two standard images are transmitted to the main control circuit board as calibration data, and the main control circuit board performs cropping, leaving only the rectangular part of the image containing the complete marker. S3-4. In the actual locking and unlocking operations, trigger the high-definition pinhole camera device to capture two measured macro images of the positioning gear as in step S3-3, and crop them in the same way. S3-5. The main control circuit board uses the two sides of the partial image as the horizontal and vertical coordinate axes of a Cartesian coordinate system. It merges the partial images corresponding to the locked and unlocked positions with the corresponding cropped partial images of the measured macro images. An edge recognition algorithm is used to extract the contours containing markers, and the horizontal and vertical spans of the contours in the Cartesian coordinate system are calculated. and Set horizontal and vertical span thresholds respectively. and ,like and If the lock and unlock are successful, the main control circuit board will issue a prompt message; otherwise, the lock and unlock will be successful.

9. The method of claim 8, wherein, Both the main control circuit board and the vehicle-mounted computer are connected to the user's smart mobile terminal via Bluetooth; the prompt information issued by the main control circuit board includes any one of the following: a voice message from the electron gun, an alarm sent to the electron gun display screen, or an alarm sent to the user's smart mobile terminal.

10. A charging gun equipped with a smart motor prepared by any one of claims 1-9, comprising a main body, a charging cable connected to the main body, a grip portion disposed on the main body, and a drive device compartment extending from the grip portion and connected to the main body, characterized in that, The charging gun also includes a display screen, wherein... The gripping part is hollow and communicates with the drive device compartment. The intelligent motor is arranged in the hollow part and the drive device compartment. The micro motor, gearbox, and high-definition pinhole camera are arranged in the drive device compartment. A face recognition system and / or fingerprint recognition system, main control circuit board, and display screen are arranged in the hollow part. The gripping part has a face recognition area and / or fingerprint recognition area, and a display area of ​​the display screen. A cable management channel is also arranged in the hollow part and the drive device compartment for managing the cables for signal transmission of the absolute encoder, high-definition pinhole camera, micro motor, face recognition system and fingerprint recognition system, main control circuit board, and display screen. A power supply line is also arranged in part of the hollow part and the main body hollow part for powering the absolute encoder, high-definition pinhole camera, micro motor, face recognition system and fingerprint recognition system, main control circuit board, and display screen. The power supply cables for the absolute encoder, high-definition pinhole camera, micro motor, face recognition system, and fingerprint recognition system are connected through the cable management channel.

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