Non-contact charging pile interaction method, equipment and medium

Abstract

The invention discloses a non-contact charging pile interaction method and device and a medium, belongs to the technical field of charging piles, and aims to solve the technical problems that non-contact interaction of existing charging piles has certain limitation, user intentions are difficult to understand, and the accuracy of action recognition is low. The method comprises the following steps: performing preliminary wake-up control on a charging pile system to obtain a wake-up control strategy; performing dual verification of the optimal interaction area and the gesture action on the user to obtain an operable control strategy; performing motion analysis on the wrist action of the user, and generating a charging adjustment control strategy based on a charging power value identified by the wrist action; performing security payment control under two-factor authentication on the gesture action of the user to obtain a security payment control strategy; and based on a wake-up control strategy, an operable control strategy, a charging adjustment control strategy, a safety payment control strategy and an environment self-adaptive control strategy, non-contact charging control of the user on the charging pile system is completed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging piles, in particular to a non-contact charging pile interaction method, device and medium. BACKGROUND

[0002] With the popularity of electric vehicles, the interaction mode of charging piles has become a key factor affecting user experience. Currently, the mainstream interaction modes (such as physical buttons or touch screens) have the risk of easy wear and tear and contact-type germ transmission.

[0003] Existing non-contact solutions mostly use single modal technology, for example: 1. Gesture recognition based on a single visual sensor: susceptible to light (strong light, darkness), concerns about privacy leakage, and difficult to distinguish between unintentional gestures and operation instructions, with high false trigger rate.

[0004] 2. Interaction based on wireless charging pad: using charging pad coil to sense current changes to recognize gestures, although the cost is low, but the sensing distance is usually very short (about 2 cm), making it difficult to apply in the typical interaction distance of charging piles (about 1 meter).

[0005] 3. Interaction based on voice recognition: although non-contact is achieved, the recognition rate will be affected in noisy public charging environments, and there are also false trigger and safety risks. SUMMARY

[0006] The embodiments of the present application provide a non-contact charging pile interaction method, device and medium, to solve the technical problem that the existing non-contact interaction of charging piles has certain limitations, and it is difficult to understand user intent and the accuracy of motion recognition is low.

[0007] The embodiments of the present application adopt the following technical solutions: On the one hand, the embodiments of the present application provide a non-contact charging pile interaction method, comprising: preliminarily awakening control of a charging pile system according to a millimeter wave radar and a micro-Doppler signal in a low-power mode to obtain an awakening control strategy; dual verification of a best interaction area and a gesture action of a user based on the awakening control strategy and through a depth camera to obtain an operable control strategy; motion analysis of a wrist action of the user based on the operable control strategy, and generation of a charging adjustment control strategy based on a charging power value recognized by the wrist action; after executing the charging adjustment control strategy, safety payment control of the gesture action of the user under dual-factor authentication to obtain a safety payment control strategy; and completion of non-contact charging control of the charging pile system by the user based on the awakening control strategy, the operable control strategy, the charging adjustment control strategy, the safety payment control strategy, and an environment adaptive control strategy.

[0008] The embodiment of the application realizes "zero contact" through non-contact charging pile interaction control, reduces the spread of bacteria. Moreover, the multiple confirmation and double-factor authentication mechanism ensures the authenticity of the operation intention, effectively preventing false triggering. Using a multi-sensor fusion architecture, the advantages are complementary, and the strong anti-interference of millimeter wave radar makes up for the environmental weaknesses of visual sensors, so that the system can maintain stable performance in rain, snow, fog, strong light and dark environments. At the same time, it also supports a complete set of interaction logic from simple wake-up to complex continuous control, providing a smooth and technologically advanced user experience. And combined with the recognition mechanism of space, time and behavior context, it can effectively filter non-target interference. At the same time, the system uses a millimeter wave radar that does not collect optical images and a 3D depth camera that only generates abstract point cloud data, eliminating the risk of leakage of personal biological characteristics and real images from the hardware source.

[0009] In a feasible implementation, according to the millimeter wave radar and the micro-Doppler signal in the low-power mode, the charging pile system is preliminarily controlled to wake up, and a wake-up control strategy is obtained, specifically including: when the charging pile system is in a standby state, the low-power mode millimeter wave radar is used to continuously scan the sensing area, and scanning detection information is obtained; if the scanning detection information is determined to be object entry state information, and the micro-Doppler signal with a fixed gesture action is detected, the radar trigger system in the charging pile system is controlled to enter a first wake-up state, and charging pile wake-up state information is generated; the LED light on the charging pile system is controlled to change the light, and light wake-up state information is obtained; and the wake-up control strategy is generated based on the charging pile wake-up state information and the light wake-up state information.

[0010] In a feasible implementation, based on the wake-up control strategy, and through a depth camera, the user is verified for the best interaction area and gesture action, and an operable control strategy is obtained, specifically including: after the charging pile system executes the wake-up control strategy, the depth camera on the charging pile system is started; the depth camera is used to identify and verify the user for the best interaction area and user facing state, and conforming interaction preparation information is generated; based on the conforming interaction preparation information, the charging pile system is played with a gesture prompt sound, and the depth camera is used to verify the user's gesture action for the gesture verification state, and gesture verification result information is obtained; if the gesture verification result information is pass information, the charging pile system is controlled to enter an operable state, and the LED light on the charging pile system is controlled to change the light, and light interaction state information is obtained; and the operable control strategy is generated based on the conforming interaction preparation information, the gesture verification result information and the light interaction state information.

[0011] In a feasible implementation, based on the operable control strategy, motion analysis is performed on the wrist action of the user, and a charging adjustment control strategy is generated based on the charging power value identified by the wrist action, specifically including: after the execution of the operable control strategy, identifying the charging selection information of the user; if the charging selection information is the chargeable information, starting the charging power adjustment function of the charging pile system; through the millimeter wave radar, angular velocity non-capture processing is performed on the hand speed of the user to obtain first action information; through the depth camera, spatial calculation processing is performed on the wrist rotation angle of the user to obtain second action information; the first action information and the second action information are subjected to time-space synchronization and data feature level processing to obtain data-aligned charging power adjustment action; through the charging pile system, corresponding linear relationship mapping processing is performed between the spatial action feature vector in the charging power adjustment action and the power adjustment amplitude to obtain a power adjustment instruction; and based on the power adjustment instruction, charging power adjustment information is obtained; based on the power adjustment instruction, the LED light of the charging pile system is controlled to change the light to obtain light charging adjustment state information; based on the charging power adjustment information and the light charging adjustment state information, the charging adjustment control strategy is generated.

[0012] In a feasible implementation, after the execution of the charging adjustment control strategy, the gesture action of the user is subjected to security payment control under double-factor authentication to obtain a security payment control strategy, specifically including: after the execution of the charging adjustment control strategy, starting the payment process function of the charging pile system; through the charging pile system, gesture recognition and verification processing is performed on the charging end confirmation action of the user to obtain charging end confirmation information; after obtaining the charging end confirmation information, according to the confirmation payment information generated by the charging pile system, identification and verification processing is performed on the confirmation payment gesture action of the user to obtain payment completion state information; based on the payment completion state information, the security payment control strategy is generated.

[0013] In a feasible implementation, through the ultrasonic sensor in the charging pile system, continuous water film attachment state recognition is performed on the surface of the sensor to obtain environmental abnormality information; based on the environmental abnormality information, the environmental self-adaptation unit in the charging pile system is started; through the environmental self-adaptation unit, fusion weight reduction processing related to water bead refraction noise is performed on the depth vision data collected in the depth camera; and weight increase processing is performed on the decision contribution weight in the millimeter wave radar to determine environmental self-adaptation data; through the environmental self-adaptation data, the gesture recognition confidence threshold of the user is adaptively adjusted, and the environmental self-adaptation control strategy of the charging pile system is generated.

[0014] In an implementable embodiment, based on the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environment adaptive control strategy, the non-contact charging control of the charging pile by the user is completed, specifically including: through the charging pile system, the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environment adaptive control strategy are cooperatively executed to obtain a non-contact charging pile interactive control system of the charging pile system; the non-contact charging pile interactive control system is online operated to complete the non-contact charging control of the charging pile by the user.

[0015] In an implementable embodiment, the running data of each control strategy is uploaded to a cloud platform through an MQTT protocol; the running data is monitored and analyzed through an online learning algorithm, and the strategy parameters of each control strategy are optimized.

[0016] In a second aspect, the embodiments of the present application further provide a non-contact charging pile interactive device, the device comprising: at least one processor; and a memory in communication connection with the at least one processor; wherein the memory stores instructions capable of being executed by the at least one processor, so that the at least one processor can execute the non-contact charging pile interactive method of any of the above-mentioned embodiments.

[0017] In a third aspect, the embodiments of the present application further provide a non-volatile computer storage medium, the storage medium being a non-volatile computer readable storage medium, the non-volatile computer readable storage medium storing at least one program, each of the programs including instructions, which when executed by a terminal, cause the terminal to execute the non-contact charging pile interactive method of any of the above-mentioned embodiments.

[0018] The present application provides a non-contact charging pile interactive method, device and medium, compared with the prior art, the embodiments of the present application have the following beneficial technical effects: 1. Reliable hygiene and safety: completely realize "zero contact" and reduce the spread of bacteria. Moreover, the multi-confirmation and two-factor authentication mechanism ensures the authenticity of the operation intention and effectively prevents false triggering.

[0019] 2. All-weather high reliability: the multi-sensor fusion architecture forms a complementary advantage, and the strong anti-interference of the millimeter wave radar makes up for the environmental weakness of the visual sensor, so that the system can maintain stable performance in rain, snow, fog, strong light and dark environment.

[0020] 3. Rich and intuitive interaction dimension: supports a complete set of interaction logic from simple wake-up to complex continuous control, and the user experience is smooth and full of technology.

[0021] 4. Strong anti-interference and privacy protection capability: combined with the recognition mechanism of space, time and behavior context, it can effectively filter non-target interference. At the same time, the system uses millimeter wave radar that does not collect optical image and 3D depth camera that only generates abstract point cloud data, which eliminates the risk of leakage of personal biological characteristics and real image from the hardware source. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments described in the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor. In the drawings: Figure 1 A non-contact charging pile interaction method flow chart provided by the embodiment of the present application; Figure 2 A structural schematic diagram of a non-contact charging pile interaction device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the person skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0024] It should be noted that the non-contact charging pile interaction system of the present application comprises: 1. Perception module: composed of millimeter wave radar sensor, 3D depth camera and ultrasonic sensor. The three sensors are complementary in function: millimeter wave radar is responsible for large-scale, low-power preliminary wake-up and micro-motion detection, which is not sensitive to light changes and protects privacy; 3D depth camera is responsible for accurate hand skeleton joint positioning and three-dimensional motion trajectory capture; ultrasonic sensor is used for accurate ranging and detection of environmental interference such as rain and snow.

[0025] 2. Data Processing and Decision-Making Module: 2.1 Multimodal Information Fusion Unit: Performs spatiotemporal synchronization and feature-level fusion on data from different sensors to generate robust gesture feature vectors. This process involves data fusion and model fusion strategies. 2.2 Gesture Intent Understanding Engine: Contains a built-in machine learning model that not only recognizes the gesture itself but also considers the context of the charging pile's current state (e.g., standby, charging), user dwell time, and body orientation to make a comprehensive intent judgment. 2.3 Environmental Adaptation Unit: Dynamically adjusts the recognition confidence threshold and fusion strategy of each sensor based on environmental data fed back from the sensors (e.g., ultrasonic detection of raindrops).

[0026] 3. Interactive Execution Module: Communicates with the main controller of the charging pile, executes instructions, and controls the LED light strip and speakers to provide audiovisual feedback to the user.

[0027] This application provides a contactless charging pile interaction method, such as... Figure 1 As shown, the contactless charging pile interaction method specifically includes steps S101-S105: S101. Based on the millimeter-wave radar and micro-Doppler signals in low-power mode, perform preliminary wake-up control on the charging pile system to obtain the wake-up control strategy.

[0028] Specifically, when the charging pile system is in standby mode, the millimeter-wave radar in low-power mode continuously scans and controls the sensing area to obtain scanning detection information.

[0029] Furthermore, if the scan detection information determines that the object has entered the state information, and a micro-Doppler signal with a fixed hand gesture is detected, the radar triggering system in the charging pile system is controlled to enter the first-level wake-up state and generate the charging pile wake-up state information.

[0030] Furthermore, the LED lights on the charging pile system are controlled to change their lighting to obtain the light wake-up status information.

[0031] Furthermore, a wake-up control strategy is generated based on the wake-up status information of the charging pile and the wake-up status information of the lights.

[0032] In one embodiment, during the standby and wake-up phases of the charging pile system, specifically in the wake-up control strategy: when the charging pile is in standby mode, the millimeter-wave radar continuously scans an area of ​​0.5-3 meters in front in a low-power mode. When an object is detected entering the system accompanied by specific "raising a hand" or "waving" micro-Doppler features, the radar triggers the system to enter a first-level wake-up state, generating charging pile wake-up status information. Furthermore, the LED light strip exhibits a slow "breathing" effect, which is a visual display of the light wake-up status information.

[0033] S102, based on the wake-up control strategy, and through the depth camera, the user is verified for the best interaction area and gesture action, and the operable control strategy is obtained.

[0034] Specifically, after the charging pile system executes the wake-up control strategy, the depth camera on the charging pile system is started.

[0035] Further, through the depth camera, the user is identified and verified for the best interaction area and the user's facing state, and the interaction preparation information is generated.

[0036] Further, based on the interaction preparation information, the charging pile system is played with a gesture prompt sound, and through the depth camera, the user's gesture action is verified for the gesture in the interaction preparation state, and the gesture verification result information is obtained.

[0037] Further, if the gesture verification result information is pass information, the charging pile system is controlled to enter the operable state, and the LED light on the charging pile system is controlled to change the light, and the light interaction state information is obtained.

[0038] Further, based on the interaction preparation information, the gesture verification result information and the light interaction state information, the operable control strategy is generated.

[0039] In one embodiment, in the intention confirmation and interaction preparation of the charging pile system, the operable control strategy is that the 3D depth camera is started immediately, but it does not immediately execute the instruction. It will confirm whether the user is in the best interaction area of 1-1.5 meters and keeps the posture of facing the charging pile. The system plays a prompt sound "Please palm towards the device to confirm the operation" through the loudspeaker, and the user needs to keep the palm towards the camera for about 1 second. After the double verification is passed (the interaction preparation information and the gesture verification result information), the LED light band becomes always on, that is, the light interaction state information is visualized to finally make the system enter the operable control state.

[0040] S103, based on the operable control strategy, the wrist action of the user is analyzed, and based on the charging power value identified by the wrist action, the charging adjustment control strategy is generated.

[0041] Specifically, after executing the operable control strategy, the user's charging selection information is identified.

[0042] Further, if the charging selection information is the chargeable information, the charging power adjustment function of the charging pile system is started.

[0043] Further, through the millimeter wave radar, the angular velocity of the user's hand speed is not captured, and the first action information is obtained. Then continue through the depth camera, the wrist rotation angle of the user is calculated in space, and the second action information is obtained.

[0044] Further, the first action information and the second action information are further processed by time-space synchronization and data feature level, and the charging power adjustment action after data alignment is obtained.

[0045] Further, the space action feature vector and the power adjustment amplitude in the charging power adjustment action need to be processed by corresponding linear relationship mapping through the charging pile system, and the power adjustment instruction is obtained. And based on the power adjustment instruction, the charging power adjustment information is obtained.

[0046] Further, based on the power adjustment instruction, the LED light on the charging pile system is controlled to change the light, and the light charging adjustment state information is obtained.

[0047] Further, based on the charging power adjustment information and the light charging adjustment state information, the charging adjustment control strategy is generated.

[0048] In one embodiment, in the user's continuous gesture wiping operation to complete the charging power adjustment, that is, the charging adjustment control strategy: after the user successfully activates the system and selects charging, if the charging selection information is the charging information that can be performed, the charging power adjustment function of the charging pile system is started; the charging power can be adjusted by rotating the wrist action. The millimeter wave radar captures the angular velocity of the hand, and the 3D depth camera accurately calculates the rotation angle of the wrist. The fusion unit combines these two types of information, and then processes the corresponding linear relationship mapping between the space action feature vector and the power adjustment amplitude in the charging power adjustment action, and finally generates a smooth and accurate power adjustment instruction. At the same time, the light column on the LED light strip will rise and fall in real time, and the light charging adjustment state information can directly display the current set power value.

[0049] S104, after executing the charging adjustment control strategy, the gesture action of the user is controlled for security payment under double-factor authentication, and the security payment control strategy is obtained.

[0050] Specifically, after executing the charging adjustment control strategy, the payment process function of the charging pile system is started.

[0051] Further, through the charging pile system, the gesture recognition and verification processing of the user's charging end confirmation action is performed, and the charging end confirmation information is obtained.

[0052] Further, after obtaining the charging end confirmation information, according to the confirmation payment information generated by the charging pile system, the confirmation payment gesture action of the user is identified and verified, and the payment completion state information is obtained.

[0053] Further, based on the payment completion state information, a secure payment control strategy is generated.

[0054] In one embodiment, when the user confirms the end of charging, the payment process is entered, and gesture recognition and verification processing are performed on the user's charging end confirmation action to obtain charging end confirmation information. The system prompts the user to perform a different secondary confirmation action from the wake-up gesture by voice, that is, "Please wave your hand again to confirm payment", and then performs gesture recognition and verification processing on the user's confirmation payment gesture action to obtain payment completion state information. Using a two-factor authentication mechanism, property loss caused by misoperation is effectively prevented.

[0055] S105, based on the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environment adaptive control strategy, to complete the user's non-contact charging control of the charging pile system.

[0056] Specifically, it is also necessary to continuously identify the state of the continuous water film attached to the surface of the sensor through the ultrasonic sensor in the charging pile system to obtain environment abnormality information.

[0057] Further, based on the environment abnormality information, the environment adaptive unit in the charging pile system is started.

[0058] Further, the environment adaptive unit further reduces the fusion weight of the depth vision data collected by the depth camera with respect to water bead refraction noise, and increases the decision contribution weight of the millimeter wave radar, to determine the environment adaptive data.

[0059] Further, the environment adaptive data is used to adaptively adjust the gesture recognition confidence threshold of the user, and generate the environment adaptive control strategy of the charging pile system.

[0060] In one embodiment, in the environment adaptive control strategy of the charging pile system: when the ultrasonic sensor detects that the sensor surface has a continuous water film attached (indicating that it is raining), the environment adaptive unit is immediately started. It will automatically reduce the fusion weight of the depth vision data (which may produce noise due to water bead refraction), while increasing the decision contribution weight of the millimeter wave radar (which has good penetration for rain and snow) data, to overall improve the confidence threshold of gesture recognition, and ensure reliability in bad weather. Finally, the environment adaptive data is used to adaptively adjust the gesture recognition confidence threshold of the user.

[0061] Further, the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environment adaptive control strategy are cooperatively executed through the charging pile system to obtain a non-contact charging pile interactive control system of the charging pile system. Finally, the non-contact charging pile interactive control system is online run to complete the non-contact charging control of the user on the charging pile.

[0062] Further, the running data of each control strategy can be uploaded to a cloud platform through an MQTT protocol. Then, the running data is monitored and analyzed through an online learning algorithm, and the strategy parameters of each control strategy are optimized.

[0063] As a feasible implementation, the above strategies can also work cooperatively through a central microcontroller (such as an ARM Cortex-M7): the wake-up strategy triggers, the operable strategy receives user input, the charging adjustment strategy optimizes parameters in real time, the secure payment strategy processes transactions, and the environment adaptive strategy ensures stable external conditions. All data are uploaded to a cloud platform through an MQTT protocol for monitoring and analysis, realizing closed-loop control. The system can also collect user operation habits and environment data, and continuously optimize the strategy parameters through an online learning algorithm, for example, adjusting the wake-up sensitivity or the charging curve, to form a personalized non-contact charging experience.

[0064] That is, the embodiments of the present application mainly involve: 1) a dynamic activation and intention confirmation mechanism: two-level security verification is adopted. First, a pre-defined wake-up gesture (such as a hand wave) is recognized by a millimeter wave radar, and the system enters a low-power standby state; then, the user is required to make a confirmation gesture (such as a palm continuously facing for 1 second) in a specific interaction area by a 3D depth camera. This greatly reduces the probability of false triggering. 2) Continuous gesture parameter mapping: for complex operations such as charging power / current adjustment, the angular velocity information of the radar and the spatial displacement data of the depth camera are fused to linearly or nonlinearly map the continuous rotation or translation gesture of the user's hand into accurate and continuous adjustment of the parameters. 3) Environment adaptive and security enhancement: in rainy and snowy weather, the system automatically increases the confidence threshold of gesture recognition and strategically increases the weight of the millimeter wave radar data with strong penetration in decision-making. For key instructions such as payment and stopping charging, a secondary confirmation process is forcibly introduced to constitute a "two-factor authentication".

[0065] In addition, the embodiments of the present application also provide a non-contact charging pile interactive device, as shown in Figure 2 The non-contact charging pile interactive device 200 specifically comprises: at least one processor 201; and a memory 202 communicatively connected with the at least one processor 201; wherein the memory 202 stores instructions executable by the at least one processor 201, so that the at least one processor 201 can execute: According to the millimeter wave radar in the low-power mode and the micro-Doppler signal, preliminary wake-up control is performed on the charging pile system to obtain a wake-up control strategy; Based on the wake-up control strategy, and through a depth camera, the user is verified in a best interaction area and a gesture action to obtain an operable control strategy; Based on the operable control strategy, wrist motion of the user is analyzed, and a charging adjustment control strategy is generated based on a charging power value recognized by the wrist motion; After the charging adjustment control strategy is executed, a gesture action of the user is controlled in a double-factor authentication to obtain a secure payment control strategy; Based on the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and an environment adaptive control strategy, non-contact charging control of the user on the charging pile system is completed.

[0066] The embodiments of the present application realize "zero contact" through non-contact charging pile interaction control, reduce the spread of bacteria. Moreover, the multiple confirmation and double-factor authentication mechanism ensure the authenticity of the operation intention, effectively preventing false triggering. The multi-sensor fusion architecture forms complementary advantages, and the strong anti-interference of the millimeter wave radar compensates for the environmental weaknesses of the visual sensor, so that the system can maintain stable performance in rain, snow, fog, strong light, and dark environments. At the same time, it also supports a complete set of interaction logic from simple wake-up to complex continuous control, and the user experience is smooth and full of technology. In addition, combined with the recognition mechanism of space, time, and behavior context, non-target interference can be effectively filtered. At the same time, the system uses a millimeter wave radar that does not collect optical images and a 3D depth camera that only generates abstract point cloud data, which eliminates the risk of leakage of personal biological characteristics and real images from the hardware source.

[0067] Each of the embodiments in the present application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, the device and medium embodiments are basically similar to the method embodiments, so the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0068] The device and medium provided by the embodiments of the present application are one-to-one corresponding to the method, so the device and medium also have similar beneficial technical effects as the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and medium will not be described here.

[0069] Those skilled in the art will appreciate that embodiments of the application can be readily used as software, hardware, or a combination of software and hardware. In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0070] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 means for performing each of the functions specified in the flowchart block or blocks.

[0071] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 means for performing each of the functions specified in the flowchart block or blocks.

[0072] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 means for performing each of the functions specified in the flowchart block or blocks.

[0073] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0074] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory, non-volatile memory, such as read-only memory (ROM), optical storage, and / or flash memory. The memory is an example of computer readable storage media.

[0075] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0076] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article or apparatus that includes a list of elements does not only include those elements, but also includes other elements not explicitly listed, or further includes elements inherent in such a process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0077] The above only describes the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of the specification of the present application.

Claims

1. A non-contact charging pile interaction method, characterized in that, The method includes: Based on the millimeter-wave radar and micro-Doppler signals in low-power mode, the charging pile system is initially woken up and a wake-up control strategy is obtained. Based on the aforementioned wake-up control strategy, and through a depth camera, the user's optimal interaction area and gesture actions are dually verified to obtain an operable control strategy. Based on the operable control strategy, motion analysis is performed on the user's wrist movements, and a charging adjustment control strategy is generated based on the charging power value identified by the wrist movements. After executing the charging regulation control strategy, the user's gesture actions are subjected to secure payment control under two-factor authentication to obtain a secure payment control strategy. Based on the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environmental adaptive control strategy, the user can achieve contactless charging control of the charging pile system.

2. The non-contact charging pile interaction method according to claim 1, characterized in that, Based on the millimeter-wave radar and micro-Doppler signals in low-power mode, a preliminary wake-up control is performed on the charging pile system to obtain a wake-up control strategy, which specifically includes: When the charging pile system is in standby mode, the millimeter-wave radar in low power mode continuously scans and controls the sensing area to obtain scanning detection information. If the scanning detection information is determined to be object entry status information, and the micro-Doppler signal with a fixed hand gesture is detected, then the radar triggering system in the charging pile system is controlled to enter the first-level wake-up state and generate charging pile wake-up status information. Control the LED lights on the charging pile system to change the light colors and obtain the light wake-up status information; The wake-up control strategy is generated based on the wake-up status information of the charging pile and the wake-up status information of the light.

3. The non-contact charging pile interaction method according to claim 1, characterized in that, Based on the aforementioned wake-up control strategy, and through a depth camera, the user's optimal interaction area and gesture actions are dually verified to obtain an operable control strategy, specifically including: After the charging pile system completes the wake-up control strategy, the depth camera on the charging pile system is activated; The depth camera is used to identify and verify the user's optimal interaction area and facing state, and to generate interaction preparation information. Based on the interaction preparation information, the charging pile system plays gesture prompts and uses the depth camera to verify the user's gestures in the interaction preparation state to obtain gesture verification result information. If the gesture verification result is passed, the charging pile system is controlled to enter the operable state, and the LED lights on the charging pile system are controlled to change the light to obtain the light interaction state information. Based on the interaction preparation information, the gesture verification result information, and the light interaction status information, the operable control strategy is generated.

4. The non-contact charging pile interaction method according to claim 1, characterized in that, Based on the aforementioned operable control strategy, motion analysis is performed on the user's wrist movements, and a charging adjustment control strategy is generated based on the charging power value identified from the wrist movements, specifically including: After executing the operable control strategy, the user's charging selection information is identified; If the charging selection information indicates that charging is possible, then the charging power adjustment function of the charging pile system is activated. The millimeter-wave radar is used to perform angular velocity non-capture processing on the user's hand speed to obtain the first action information; The user's wrist rotation angle is spatially calculated using the depth camera to obtain second motion information; The first action information and the second action information are spatiotemporally synchronized and data feature-level processed to obtain the charging power adjustment action after data alignment. Through the charging pile system, a linear relationship mapping process is performed between the spatial action feature vector and the power adjustment amplitude in the charging power adjustment action to obtain the power adjustment command; and based on the power adjustment command, charging power adjustment information is obtained. Based on the power adjustment command, the LED lights on the charging pile system are controlled to change their light patterns to obtain the lamp charging adjustment status information. The charging adjustment control strategy is generated based on the charging power adjustment information and the lamp charging adjustment status information.

5. The non-contact charging pile interaction method according to claim 1, characterized in that, After executing the charging regulation control strategy, the user's gesture actions are subjected to secure payment control under two-factor authentication to obtain a secure payment control strategy, which specifically includes: After executing the charging regulation and control strategy, the payment process function of the charging pile system is initiated; The charging pile system performs gesture recognition and verification on the user's charging completion confirmation action to obtain charging completion confirmation information. After receiving the charging completion confirmation information, the user's confirmation payment gesture is identified and verified based on the confirmation payment information generated by the charging pile system to obtain payment completion status information. Based on the payment completion status information, the secure payment control strategy is generated.

6. The non-contact charging pile interaction method according to claim 1, characterized in that, By using ultrasonic sensors in the charging pile system to identify the continuous water film adhesion status on the sensor surface, environmental anomaly information can be obtained. Based on the aforementioned environmental anomaly information, the environmental adaptive unit in the charging pile system is activated; The environment adaptive unit performs fusion weight reduction processing on the depth vision data collected by the depth camera to reduce water droplet refraction noise. The decision contribution weights in the millimeter-wave radar are then weighted to determine the environmental adaptive data. The user's gesture recognition confidence threshold is adaptively adjusted using the environmental adaptive data, and the environmental adaptive control strategy of the charging pile system is generated.

7. The non-contact charging pile interaction method according to claim 1, characterized in that, Based on the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environmental adaptive control strategy, the user's contactless charging control of the charging pile is completed, specifically including: Through the charging pile system, the wake-up control strategy, the operable control strategy, the charging adjustment control strategy, the secure payment control strategy, and the environmental adaptive control strategy are executed in a coordinated manner to obtain the non-contact charging pile interactive control system of the charging pile system. The contactless charging pile interactive control system is operated online to enable the user to control the charging pile for contactless charging.

8. The non-contact charging pile interaction method according to claim 7, characterized in that, The execution data of each control policy is uploaded to the cloud platform via the MQTT protocol; The operational data is monitored and analyzed through online learning algorithms, and the strategy parameters of each control strategy are optimized.

9. A contactless charging pile interactive device, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform a contactless charging pile interaction method according to any one of claims 1-8.

10. A non-volatile computer storage medium, characterized in that, The storage medium is a non-volatile computer-readable storage medium that stores at least one program, each program including instructions that, when executed by a terminal, cause the terminal to perform a contactless charging pile interaction method according to any one of claims 1-8.

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