A Mobile Control Method, a Mobile Smart Screen, a Medium and a Product of a Smart Screen

Abstract

A mobile control method, a mobile smart screen, a medium and a product for a smart screen, which relate to the technical field of mobile smart screen control. The method includes: determining a target position to move to and a moving path to the target position based on a target setting instruction of a user terminal; moving according to the moving path and determining the remaining power; when determining that there is a standby point where the remaining power is lower than a preset safe power, obtaining the device position of a backup smart screen; determining a target point for the handover between the mobile smart screen and the backup smart screen, and sending a handover instruction to the backup smart screen; sending a task transfer instruction to the backup smart screen, so that the backup smart screen displays the screen display information of the mobile smart screen and moves to the target position based on the moving path; moving to the device position for charging. Implementing this method can optimize the battery life of the mobile smart screen and avoid work interruption, thereby optimizing the user experience.

Description

Technical Field

[0001] This application relates to the technical field of mobile intelligent screen control, and in particular to a mobile control method for an intelligent screen, a mobile intelligent screen, a medium, and a product. Background Art

[0002] With the development of Internet of Things technology and artificial intelligence, smart home systems play an increasingly important role in modern life. Smart home systems achieve automatic control and intelligent management of the home environment through various smart devices and sensors. The main control terminal is generally a main control tablet or a mobile intelligent screen (a type of mobile robot), which supports users to view the status display of the whole house at any time and perform management settings.

[0003] In related technologies, mobile intelligent screens mainly use sensors such as lidar or cameras to perceive the surrounding environment in real time and perform positioning and navigation. In order to work for a long time, mobile intelligent screens usually use large-capacity lithium batteries for power supply and automatically return to the charging station for charging when the battery is low.

[0004] However, after the mobile intelligent screen in related technologies performs long-term work, there will be a situation where the battery is low, and at this time, charging is required, resulting in a temporary interruption of the tasks it performs and affecting the user experience. Summary of the Invention

[0005] This application provides a mobile control method for an intelligent screen, a mobile intelligent screen, a medium, and a product, which are used to optimize the battery life of the mobile intelligent screen and avoid work interruption to optimize the user experience.

[0006] In a first aspect, this application provides a mobile control method for an intelligent screen, which is applied to a mobile intelligent screen. The method includes: determining a target position to move to and a moving path to the target position based on a target setting instruction of a user terminal; moving according to the moving path and determining the remaining battery power at each point on the moving path according to the real-time battery power; when it is determined that there is a standby point on the moving path where the remaining battery power is lower than a preset safe battery power, obtaining the device position of a standby intelligent screen within a preset distance range of the standby point; determining a target point for the handover between the mobile intelligent screen and the standby intelligent screen according to the real-time position, remaining battery power of the mobile intelligent screen, and the device position of the standby intelligent screen, and sending a handover instruction including the target point to the standby intelligent screen; when moving to the target point and determining that the standby intelligent screen is at the target point, sending a task transfer instruction to the standby intelligent screen, so that the standby intelligent screen displays the screen display information of the mobile intelligent screen and moves to the target position based on the moving path; moving to the device position for charging.

[0007] In the above embodiments, when the mobile smart screen detects insufficient power, it can promptly transfer tasks to the standby smart screen to avoid work interruption, and at the same time move to the charging location for charging, achieving intelligent power management, optimizing the battery life of the mobile smart screen, improving work efficiency, and effectively enhancing the user experience.

[0008] In combination with some embodiments of the first aspect, in some embodiments, based on the target setting instruction of the user terminal, the target location to move to and the movement path to the target location are determined. Specifically, it includes: receiving the target setting instruction of the user terminal; when it is determined that the target setting instruction is for person following, determining the person location where the target person to follow is located; using the person location as the target location to move to, and determining the movement path to the target location; when it is detected that the target person moves, updating the target location and the movement path based on the moved location.

[0009] In the above embodiments, the mobile smart screen can detect the position change of the target person in real time and dynamically update the movement path to ensure that it always follows near the target person, improving the practicality of the mobile smart screen in the human-computer interaction scenario, enabling it to better meet the mobile needs of users and providing more convenient services.

[0010] In combination with some embodiments of the first aspect, in some embodiments, before the step of determining the target location to move to and the movement path to the target location based on the target setting instruction of the user terminal, the method further includes: when it is detected that the handle position is held by the user, converting its own action state to a stationary state; when a thrust in the plane direction is detected after the stationary state, moving according to the direction and magnitude of the thrust.

[0011] In the above embodiments, the user can switch the action state of the mobile smart screen by holding the handle and control its movement by applying a thrust, enabling the user to more conveniently control the mobile smart screen, enhancing the convenience of operation and user-friendliness.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of moving according to the movement path and determining the remaining power at each point on the movement path based on the real-time power, the method further includes: obtaining the path image on the movement path in real time; when it is determined from the path image that there is an obstacle on the movement path, re-determining the movement path to avoid the obstacle.

[0013] In the above embodiments, the mobile smart screen can perceive the surrounding environment in real time and automatically adjust the movement path when encountering an obstacle, improving the safety and reliability of the mobile smart screen, enabling it to navigate more smoothly in a complex environment, reducing the collision risk, and ensuring the safety of the device and the environment.

[0014] In some embodiments in combination with some embodiments of the first aspect, when it is determined based on the path image that there is an obstacle on the moving path, the moving path is re-determined to avoid the obstacle, which specifically includes: when it is determined based on the path image that there is an obstacle on the moving path, obtaining obstacle information including the type, size, and position of the obstacle; calculating the minimum steering angle and the shortest path required to bypass the obstacle according to the obstacle information and the space requirement parameters of the mobile intelligent screen; re-determining the moving path as the shortest path, and detecting the obstacle information in real time when moving on the shortest path; if it is determined according to the obstacle information that the obstacle has moved, updating the moving path again.

[0015] In the above embodiments, the mobile intelligent screen can not only identify the type, size, and position of the obstacle, but also calculate the optimal detour path, and continuously monitor the obstacle state during the movement, enabling it to adapt to various environments more flexibly, improving work efficiency and safety in complex scenarios.

[0016] In some embodiments in combination with some embodiments of the first aspect, after the step of moving to the device position for charging, the method further includes: monitoring the charging current and battery temperature during the charging process, and adjusting the charging power in real time according to the battery temperature; when the charging power reaches a preset power threshold, sending a charging completion reminder to the user terminal.

[0017] In the above embodiments, the mobile intelligent screen realizes intelligent charging management. It can monitor the current and temperature during the charging process, automatically adjust the charging power, and notify the user when the charging is completed, improving charging efficiency and safety, and providing a more reliable and convenient user experience.

[0018] In some embodiments in combination with some embodiments of the first aspect, after the step of sending a charging completion reminder to the user terminal when the charging power reaches a preset power threshold, the method further includes: obtaining the subsequent instruction of the user; the subsequent instruction includes continuing to standby, resuming the original task, or executing a new task; when the subsequent instruction is to resume the original task, obtaining the current position and task progress of the standby intelligent screen; determining the handover location and the return path for taking over the task according to the current position and task progress, and moving along the return path to the handover location; after arriving at the handover location, performing data synchronization with the standby intelligent screen to complete the task handover.

[0019] In the above embodiments, the mobile intelligent screen can flexibly handle subsequent tasks according to the user's instructions after the charging is completed. When resuming the original task, it can perform task handover with the standby intelligent screen, achieving seamless connection, improving work continuity, reducing interruptions and delays caused by task switching, and thus optimizing the overall work efficiency and user experience.

[0020] Second aspect, embodiments of the present application provide a mobile intelligent screen, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the mobile intelligent screen to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0021] Third aspect, embodiments of the present application provide a computer program product containing instructions. When the computer program product runs on a mobile intelligent screen, it causes the mobile intelligent screen to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0022] Fourth aspect, embodiments of the present application provide a computer-readable storage medium, including instructions. When the instructions run on a mobile intelligent screen, it causes the mobile intelligent screen to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0023] It can be understood that the mobile intelligent screen provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiments of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, and will not be elaborated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0025] 1. Since the method of determining the target location and moving path based on the user terminal instruction and the mechanism of real-time monitoring of the battery power and performing task handover with the standby intelligent screen when necessary are adopted, the mobile intelligent screen can intelligently plan the path and manage the battery power, achieve autonomous charging while ensuring the continuity of the task, effectively solve the problem that the mobile intelligent screen in the related art is interrupted due to insufficient battery power, and thus realize intelligent battery management and task handover.

[0026] 2. Since the method of real-time obtaining the path image on the moving path and re-planning the path when an obstacle is detected is adopted, the mobile intelligent screen can intelligently sense the surrounding environment and make corresponding adjustments, effectively avoid obstacles, effectively solve the problem that the mobile intelligent screen is prone to collision or blockage in a complex environment in the related art, and thus realize intelligent obstacle avoidance function and path optimization.

[0027] 3. Since the method of monitoring the current and temperature during the charging process and adjusting the charging power in real time according to the battery temperature, as well as the mechanism of notifying the user when the charging is completed are adopted, the mobile smart screen can achieve intelligent and safe charging management, effectively solving the potential safety hazards and low efficiency problems that may exist in the charging process in the related technologies, and thus realizing optimized charging control and user interaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a schematic flowchart of a mobile control method for a smart screen in an embodiment of the present application;

[0029] Figure 2 is another schematic flowchart of a mobile control method for a smart screen in an embodiment of the present application;

[0030] Figure 3 is a schematic structural diagram of an entity device of a mobile smart screen in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. As used in the specification of the present application, the singular forms "a", "an", "the above", "the", and "this" are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations including one or more of the listed items.

[0032] Hereinafter, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0033] For ease of understanding, the application scenarios of the embodiments of the present application are introduced below.

[0034] In a smart office building of a large technology company, mobile smart screens are widely used for meeting reservation, indoor navigation, and information display. However, with the increase in the usage frequency, the company found that these devices often interrupted services due to power exhaustion during work. For example, during an important video conference, the mobile smart screen in the meeting room suddenly shut down, resulting in the interruption of the meeting and causing business losses.

[0035] In the related art, the power management of the mobile intelligent screen can be achieved by adopting a fixed charging station and manual intervention; however, this method often leads to service interruption and low efficiency. The following describes a scenario of using the mobile control method of the intelligent screen in the related art.

[0036] To solve the power problem, the company initially adopted a simple strategy: when the power of the mobile intelligent screen is lower than 20%, the system will automatically send the mobile intelligent screen, and the mobile intelligent screen will automatically return to the charging station. However, this method has obvious defects. At a product launch event, the mobile intelligent screen in the main venue issued a low-power warning at a critical moment and autonomously returned to charge, not only interrupting the launch process but also causing some data loss due to improper operation.

[0037] By adopting the mobile control method of the intelligent screen in the embodiments of the present application, through real-time monitoring of the power, autonomously finding a backup device, and intelligently planning the handover path, the continuous operation of the mobile intelligent screen is realized, not only avoiding service interruption but also reducing the need for manual intervention.

[0038] The following describes a scenario of using the mobile control method of the intelligent screen in the present application.

[0039] After introducing the mobile control method of the intelligent screen of the present application, the device management of the company has changed. At a product seminar that lasted all day, the mobile intelligent screen in the meeting room could autonomously monitor the power status. When it detected that the power was about to run out, it automatically communicated with a nearby backup intelligent screen and coordinated an optimal handover point. At noon during the seminar, the main mobile intelligent screen smoothly moved to the door of the meeting room and seamlessly handed over to the backup intelligent screen that had been waiting there. During the whole process, the displayed content was not interrupted at all, and the participants didn't even notice the device replacement. The original device then autonomously went to the charging station to charge and get ready for the afternoon meeting. This way of autonomous coordination and handover not only ensured the continuity of the meeting but also reduced the need for manual intervention.

[0040] It can be seen that by adopting the mobile control method of the intelligent screen in the embodiments of the present application, while realizing the continuous operation of the mobile intelligent screen, it can also effectively solve the problems of waste of human resources and unstable service quality, and thus achieve the high-efficiency management of intelligent devices.

[0041] For easy understanding, the following describes the process of the method provided in this embodiment in combination with the above scenario. Please refer to Figure 1 , which is a flowchart of the mobile control method of the intelligent screen in the embodiments of the present application.

[0042] S101. Based on the target setting instruction of the user terminal, determine the target location to move to and the movement path to the target location.

[0043] Among them, the user terminal refers to the device used by the user to send instructions and receive feedback, such as a smart phone, a tablet computer or a dedicated controller. The target setting instruction represents the command sent by the user through the terminal for setting the destination of the mobile smart screen. The target location refers to the final location that the mobile smart screen needs to reach, which can be a specific room, near furniture or a specified coordinate point. The movement path is used to represent the travel trajectory from the current location to the target location, including a series of intermediate points and turning instructions.

[0044] After receiving the target setting instruction sent by the user through the terminal, the mobile smart screen will execute this step to plan the action of the mobile smart screen. Specifically, the mobile smart screen first parses the user instruction and extracts the target location information. Then, the mobile smart screen will combine the current environmental map, the location information of the mobile smart screen and the possible distribution of obstacles, and use a path planning algorithm (such as the A* algorithm or the RRT algorithm) to calculate an optimal movement path. This path not only focuses on the shortest distance, but also takes into account factors such as energy consumption and safety to ensure that the mobile smart screen can reach the target location efficiently and safely.

[0045] In some embodiments, the determination of the target location and the movement path can be achieved in multiple ways: Optionally, the mobile smart screen can first parse the user's voice instruction through voice recognition technology and extract the target location information; then construct and update the real-time indoor map; finally, use a dynamic path planning algorithm to generate an optimal movement path based on possible dynamic obstacles. Optionally, the mobile smart screen can obtain the target location coordinates by analyzing the user's click operation on the mobile terminal APP; then utilize the pre-stored static indoor map information; finally, use the improved Dijkstra algorithm to calculate the optimal path based on multiple constraints. It can be understood that other methods can also be used to determine the target location and the movement path, such as combining computer vision technology to recognize the user's gesture instructions, or using reinforcement learning methods to dynamically optimize the path selection, etc., which are not limited here.

[0046] S102. Move according to the movement path and determine the remaining power at each point on the movement path according to the real-time power.

[0047] Among them, the real-time power refers to the remaining battery power of the mobile smart screen during operation. Each point represents the key nodes on the movement path, which can include turning points, intermediate stopping points, etc. The remaining power is used to represent the expected remaining battery power of the mobile smart screen when it reaches each key point.

[0048] After the mobile smart screen completes path planning, it will execute this step to control the actual movement of the mobile smart screen and manage power. Specifically, the mobile smart screen first activates the drive system of the mobile smart screen and controls its movement along the predetermined trajectory according to the planned path information. At the same time, the mobile smart screen will monitor the battery power in real time and estimate and calculate the remaining power at each key point on the movement path by combining factors such as moving distance, speed, and power consumption. This real-time power monitoring and estimation mechanism enables the mobile smart screen to predict in advance possible power shortages, providing an important basis for subsequent task scheduling and charging management.

[0049] In some embodiments, mobile control and power estimation can be achieved in various ways: Optionally, the mobile smart screen can first use the PID control algorithm to achieve path tracking of the mobile smart screen; then, the battery management system (BMS) is used to collect battery voltage and current data in real time; finally, a machine learning model (such as an LSTM network) is used to predict the remaining power at each point. Optionally, the mobile smart screen can adopt an adaptive cruise control algorithm to adjust the moving speed to balance energy consumption and efficiency; then estimate the real-time remaining power; finally, combine historical data and the current workload and use the Kalman filter algorithm to optimize the remaining power prediction accuracy. It can be understood that other methods can also be used to achieve mobile control and power estimation, such as combining visual odometry technology to improve positioning accuracy, or using fuzzy logic control to optimize energy consumption management, etc., which are not limited here.

[0050] S103. When it is determined that there is a standby point on the movement path where the remaining power is lower than the preset safe power, obtain the device location of the standby smart screen within the preset distance range of the standby point.

[0051] Among them, the preset safe power refers to the lowest power threshold preset by the mobile smart screen to ensure the safe operation of the mobile smart screen. The standby point represents a specific position on the movement path where the remaining power may be lower than the preset safe power. The preset distance range refers to the maximum distance predefined by the mobile smart screen within which task handover can be performed. The standby smart screen refers to other intelligent devices that can take over the work of the current mobile smart screen. The device location is used to represent the specific spatial coordinates where the standby smart screen is currently located.

[0052] During the process of moving and estimating the power of the mobile smart screen, this step will be executed to prepare for possible task handover. Specifically, the mobile smart screen first analyzes the remaining power of each point calculated in step S102 to determine whether there is a situation where the power is lower than the preset safe power. If so, the mobile smart screen will mark this point as a standby point. Then, with the standby point as the center, the mobile smart screen will search for available spare smart screens within a preset distance range. This search process involves communication and positioning with other intelligent devices. Finally, the mobile smart screen will obtain and record the location information of the eligible spare smart screens to prepare for subsequent task handover.

[0053] In some embodiments, the determination of the standby point and the search for spare devices can be achieved in various ways: Optionally, the mobile smart screen can first use the dynamic programming algorithm to calculate all possible standby points; then, determine the devices within the preset range through WiFi positioning technology; finally, obtain the location and status information of the spare smart screens through the mesh network communication between devices. Optionally, the mobile smart screen can use the Monte Carlo simulation method to evaluate the probability of each point becoming a standby point; then, use Bluetooth beacon technology to detect the surrounding spare devices; finally, coordinate the collection of the location information of multiple spare smart screens through the edge computing node. It can be understood that other ways can also be used to determine the standby point and search for spare devices, such as using reinforcement learning to optimize the standby point selection strategy, or using UWB technology to achieve high-precision indoor positioning, etc., which are not limited here.

[0054] S104. According to the real-time position, remaining power of the mobile smart screen and the device position of the spare smart screen, determine the target point for the mobile smart screen to hand over to the spare smart screen, and send a handover instruction including the target point to the spare smart screen.

[0055] Among them, the real-time position refers to the spatial coordinates where the mobile smart screen is currently located. The target point is used to represent the best position for the mobile smart screen and the spare smart screen to conduct task handover. The handover instruction is the command information sent by the mobile smart screen to the spare smart screen to indicate that it is ready to take over the task.

[0056] After determining that task handover is required, the mobile smart screen will execute this step to coordinate the handover process between the mobile smart screen and the standby smart screen. Specifically, the mobile smart screen first comprehensively analyzes the real-time position of the mobile smart screen, the changing trend of the remaining battery power, and the position information of the standby smart screen. Then, the mobile smart screen will use an optimization algorithm to calculate an optimal handover point, which should be able to maximize the continuity of task execution while ensuring the safe operation of the mobile smart screen. After determining the target point, the mobile smart screen will generate instructions containing detailed handover information, such as handover time, location, task content, etc., and securely transmit these instructions to the standby smart screen through the network, instructing it to execute the takeover process.

[0057] In some embodiments, the determination of the target point and the sending of handover instructions can be achieved in various ways: Optionally, the mobile smart screen can first use a multi-objective optimization algorithm to comprehensively calculate the optimal handover point considering power consumption, moving distance, and task urgency; then, use a state machine model to generate detailed handover process instructions; finally, securely transmit the instructions to the standby smart screen through an encrypted P2P communication channel. Optionally, the mobile smart screen can adopt a fuzzy logic control method to determine the handover point based on the fuzzy scores of multiple factors; then, use a scenario-based instruction generator to create adaptive handover instructions; finally, use distributed ledger technology to ensure the immutability and traceability of the handover instructions. It can be understood that other ways can also be adopted to achieve the determination of the target point and the sending of handover instructions, such as using swarm intelligence algorithms to optimize the multi-device collaborative handover strategy, or adopting 5G network slicing technology to ensure the real-time performance and reliability of handover instructions, which are not limited here.

[0058] S105. When moving to the target point and determining that the standby smart screen is at the target point, send a task transfer instruction to the standby smart screen, so that the standby smart screen displays the screen display information of the mobile smart screen and moves to the target location based on the moving path.

[0059] Among them, the task transfer instruction refers to the command information sent by the mobile smart screen to the standby smart screen to officially start the task handover. The screen display information refers to all the content currently displayed on the mobile smart screen, including but not limited to task status, user interface, etc.

[0060] The mobile smart screen will perform this step to complete the actual handover of the task after the mobile smart screen arrives at the handover point. Specifically, the mobile smart screen first confirms that the mobile smart screen has reached the predetermined target point, and verifies that the backup smart screen is also in place. Then, the mobile smart screen will generate and send a detailed task transfer instruction, which contains all the relevant information of the current task. After receiving the instruction, the backup smart screen will synchronize the display content of the mobile smart screen to ensure the continuity of the user experience. At the same time, the mobile smart screen will transmit the original movement path information to the backup smart screen, so that it can seamlessly continue the original task and continue to the final target location.

[0061] In some embodiments, task transfer and display synchronization can be achieved in a variety of ways: Optionally, the mobile smart screen can first use a blockchain-based smart contract to automatically trigger the task transfer process; then, transmit the compressed screen image data through a high-speed local area network; finally, use an incremental learning algorithm to adapt the standby smart screen to the new mobile path. Optionally, the mobile smart screen can use a distributed transaction processing mechanism to ensure the atomicity and consistency of task transfer; then, use remote desktop protocol technology to achieve real-time mirroring of screen content; finally, optimize the motion control of the standby smart screen on the new path through reinforcement learning methods. It is understandable that other methods can also be used to achieve task transfer and display synchronization, such as using federated learning technology to share task-related machine learning models while protecting privacy, or using edge computing to accelerate the screen rendering process, etc., which are not limited here.

[0062] S106: Move to the device location for charging.

[0063] Among them, the device location refers to the spatial coordinates of the dedicated charging station or wireless charging area of the mobile smart screen. After completing the task handover, the mobile smart screen will perform this step to ensure that the mobile smart screen is charged in time and ready for the next task. Specifically, the mobile smart screen will first plan an optimal path from the current location to the nearest charging station. During the movement, the mobile smart screen will continue to monitor the surrounding environment and avoid possible obstacles. After arriving at the charging position, the mobile smart screen will control the mobile smart screen to align with the charging port or wireless charging area. Then, the mobile smart screen will start the charging program and monitor various parameters during the charging process, such as charging current, battery temperature, etc., to ensure the safety and efficiency of charging. At the same time, the mobile smart screen will also estimate the time required for charging and can adjust the charging strategy according to the urgency of the next task.

[0064] In some embodiments, the intelligent management of the charging process can be achieved in various ways: Optionally, the mobile intelligent screen can first use the A* algorithm combined with real-time map information to plan the shortest charging path; then, locate the charging interface position through computer vision technology; finally, use the adaptive charging algorithm to dynamically adjust the charging power according to the battery state. Optionally, the mobile intelligent screen can adopt a multi-agent path planning method to coordinate the charging order of multiple devices; then, use wireless charging positioning technology to achieve automatic alignment; finally, evaluate the battery health status and optimize the charging strategy through the predictive maintenance algorithm. It can be understood that other methods can also be used to achieve the intelligent management of the charging process, such as using reinforcement learning to optimize the long-term charging strategy to extend the battery life, or using energy harvesting technology for auxiliary charging during movement, etc., which are not limited here.

[0065] The following further describes the more specific process of the method provided in this embodiment. Please refer to Figure 2 , which is another process schematic diagram of the mobile control method of the intelligent screen in the embodiment of the present application.

[0066] S201. Receive the target setting instruction of the user terminal.

[0067] Among them, the target setting instruction represents the command information sent by the user through the terminal and used to specify the action target of the mobile intelligent screen.

[0068] When the mobile intelligent screen is in the standby state or performing other tasks, it will continuously monitor the instructions from the user terminal. Specifically, the mobile intelligent screen first starts its wireless communication module to establish a connection with the user terminal. Then, it will continuously monitor the specified communication channel or interface and wait for the target setting instruction sent by the user. When detecting the terminal instruction signal, the mobile intelligent screen will capture the signal and decode it into a recognizable instruction format. Subsequently, it will perform a preliminary analysis of the instruction to confirm its type and validity, and prepare for subsequent specific actions.

[0069] In some embodiments, the reception of the user terminal target setting instruction can be achieved in various ways: Optionally, the mobile intelligent screen can first establish a short-distance connection with the user terminal through Bluetooth Low Energy (BLE) technology; then, use a dedicated instruction protocol to parse the received data packet; finally, use a security verification algorithm to ensure the authenticity and integrity of the instruction. Optionally, the mobile intelligent screen can monitor the HTTP requests from the user terminal APP through the WiFi network; then, use the JSON format to parse the instruction content in the request body; finally, store the parsed instruction in the local queue for execution. It can be understood that other methods can also be used to achieve the reception of the user terminal target setting instruction, such as using the 5G network to achieve remote instruction reception, or directly receiving the user's voice instruction through the voice recognition module, etc., which are not limited here.

[0070] In some embodiments, the mobile smart screen will change its motion state to a static state when it detects that the handle is held by the user; after the static state, when it detects a thrust in the plane direction, it will move according to the direction and magnitude of the thrust.

[0071] The handle position refers to the grip area on the mobile smart screen specifically designed for manual operation. The static state indicates that the mobile smart screen stops all active movement. Planar thrust refers to the force applied by the user to the mobile smart screen in the horizontal plane.

[0072] When the mobile smart screen is in automatic operation mode, the system will continuously monitor the status of the handle position so that it can switch to manual control mode in time. Specifically, the system first detects in real time whether the handle position is held through a pressure sensor or a touch sensor. When it is detected that the user is holding the handle, the system switches the action state of the mobile smart screen to a stationary state and stops all autonomous movements. Then, the system monitors the force sensor and continuously monitors the external force acting on the mobile smart screen. If a thrust in the planar direction is detected, the system will analyze the direction and magnitude of the thrust, and calculate the corresponding movement speed and direction accordingly. Finally, the system controls the mobile smart screen to move according to the calculation results to achieve manual control.

[0073] In some embodiments, the manual control mode of the mobile smart screen can be implemented in a variety of ways: Optionally, the system can first use a capacitive touch sensor to detect the state of the handle being held; then, a six-axis torque sensor is applied to measure the thrust applied by the user; finally, a fuzzy control algorithm is used to convert the thrust into a smooth motion command. Optionally, the system can use an infrared proximity sensor to identify the movement of the user's hand approaching the handle; then, a strain gauge array is used to measure the thrust components in multiple directions; finally, an adaptive damping control algorithm is applied to dynamically adjust the response sensitivity of the mobile smart screen according to the thrust size. It is understandable that other methods can also be used to implement the manual control mode of the mobile smart screen, such as using machine vision technology to identify the user's gesture commands, or combining an inertial measurement unit (IMU) to improve the accuracy of motion control, etc., which are not limited here.

[0074] S202: When it is determined that the target setting instruction is to follow a person, a position of a target person to be followed is determined.

[0075] Person Following refers to a mode in which the Smart Screen continuously follows a specific person. The target person represents the specific individual to be followed. The person's position indicates the specific coordinates and orientation of the target person in space.

[0076] After receiving the target setting instruction and parsing it into the person following mode, the mobile intelligent screen will execute this step to locate the target person. Specifically, the mobile intelligent screen first activates its visual sensing system, including a camera and a depth sensor. Then, it scans the surrounding environment and uses a human detection algorithm to identify all the people within its field of view. Next, the mobile intelligent screen will screen out the target person from the detected people according to the preset features (such as facial features, clothing color, height, etc.). Finally, through triangulation or other positioning algorithms, it calculates the position and orientation of the target person relative to itself.

[0077] In some embodiments, the determination of the target person's position can be achieved in various ways: Optionally, the mobile intelligent screen can first use a depth camera to capture 3D point cloud data; then, apply a deep learning-based human pose estimation algorithm to identify the target person; finally, combine the IMU data and use an extended Kalman filter to calculate the spatial position of the person. Optionally, the mobile intelligent screen can construct a 360-degree panoramic image through multiple wide-angle cameras; then, use object detection and face recognition algorithms to lock the target person; finally, use visual SLAM technology to update the position of the target person in the environmental map in real time. It can be understood that other methods can also be used to determine the position of the target person, such as using UWB technology for high-precision indoor positioning, or combining thermal imaging technology to improve the accuracy of person detection under complex lighting conditions, etc., which are not limited here.

[0078] S203. Determine the movement path to the target position with the person's position as the target position to move to.

[0079] Among them, the target position represents the end point that the mobile intelligent screen needs to reach. The movement path is used to represent the travel trajectory from the current position of the mobile intelligent screen to the target position, including a series of intermediate path points and turning instructions.

[0080] After obtaining the position of the target person, the mobile intelligent screen will execute this step to plan the path to that position. Specifically, the mobile intelligent screen first sets the position of the target person as its own target position. Then, it accesses the environmental map data stored internally, combines the current self-position and the target position, and constructs a path planning problem. Next, the mobile intelligent screen will run a path planning algorithm (such as the A* or RRT algorithm), analyze multiple factors such as distance, energy consumption, and safety, and calculate an optimal movement path. Finally, it will decompose this path into a series of specific movement instructions and prepare to execute the movement.

[0081] In some embodiments, the determination of the movement path can be achieved in various ways: Optionally, the mobile intelligent screen can first represent the environment using a grid map, mark obstacles and passable areas; then, apply an improved Dijkstra algorithm to calculate the shortest path with multiple constraints; finally, use a Bezier curve to smooth the path and generate a continuous and smooth motion trajectory. It can be understood that other methods can also be used to determine the movement path, such as using the artificial potential field method to avoid dynamic obstacles, or combining reinforcement learning methods to dynamically adjust the path planning strategy, etc., which are not limited here.

[0082] S204. When it is detected that the target person moves, update the target position and the movement path based on the moved position.

[0083] Throughout the process of executing the person following task, the mobile intelligent screen will continuously execute this step to adapt to the dynamic changes of the target person. Specifically, the mobile intelligent screen first monitors the position changes of the target person in real time through its vision system and positioning system. When a significant position change is detected, it captures the new position coordinates of the target person. Then, the mobile intelligent screen sets this new position as the updated target position. Next, it re-runs the path planning algorithm and generates a new optimal movement path based on the current position, the updated target position, and environmental factors. Finally, the mobile intelligent screen smoothly transitions to the new movement path to ensure the continuity and smoothness of the following process.

[0084] In some embodiments, the dynamic update of the target position and the movement path can be achieved in various ways: Optionally, the mobile intelligent screen can first use the optical flow algorithm to track the movement of the target person in real time; then, apply a Kalman filter to predict the short-term movement trend of the person; finally, use an incremental path planning method to adjust the existing path and reduce the computational overhead. Optionally, the mobile intelligent screen can locate the target person through multi-sensor fusion technology (such as the combination of vision, LiDAR, and IMU); then, use a dynamic path planning algorithm (such as the D* algorithm) to efficiently update the path; finally, apply the model predictive control (MPC) method to smoothly execute the path adjustment and improve the stability of following. It can be understood that other methods can also be used to achieve the dynamic update of the target position and the movement path, such as using deep reinforcement learning methods to adaptively optimize the following strategy, or combining behavior prediction models to plan the path in advance, etc., which are not limited here.

[0085] S205. Move according to the movement path and determine the remaining power at each point on the movement path based on the real-time power.

[0086] Referring to step S102, the mobile intelligent screen will move and determine the remaining power.

[0087] S206. Obtain the path images on the movement path in real time.

[0088] Among them, the path image is used to represent the visual scene information along the front of the moving path, including environmental layout, object positions, etc.

[0089] During the whole process of executing the moving task, the mobile intelligent screen will continuously execute this step to obtain the latest environmental information. Specifically, the mobile intelligent screen first activates its forward camera system and sets appropriate image acquisition parameters such as resolution, frame rate, etc. Then, it will continuously capture the image sequence ahead along the planned moving path. These images will undergo preliminary processing, such as denoising, enhancing contrast, etc., to improve the quality of subsequent analysis. At the same time, the mobile intelligent screen will associate these images with its current position information to form an image data stream with spatial markers. These path images obtained in real time provide an important visual basis for subsequent obstacle detection and path adjustment.

[0090] In some embodiments, the real-time acquisition of path images on the moving path can be achieved in various ways: Optionally, the mobile intelligent screen can first use a wide-angle camera to collect high-resolution panoramic images; then, apply an image stitching algorithm to construct a continuous path panorama; finally, use image segmentation technology to preprocess the images to highlight key environmental features. Optionally, the mobile intelligent screen can simultaneously collect RGB images and depth information through a depth camera; then, use SLAM technology to construct a three-dimensional environmental map in real time; finally, combine the data of the inertial measurement unit (IMU) to locate the acquisition position of each frame of image. It can be understood that other ways can also be adopted to achieve the real-time acquisition of path images on the moving path, such as using a multispectral camera to improve the image quality under different lighting conditions, or combining an event camera to capture high-speed motion scenes, etc., which are not limited here.

[0091] S207. When it is determined that there is an obstacle on the moving path according to the path image, re-determine the moving path to avoid the obstacle.

[0092] Among them, the obstacle refers to an object or area that may hinder the normal progress of the mobile intelligent screen.

[0093] After obtaining the path image, the mobile intelligent screen will execute this step to ensure the safety of the progress. Specifically, the mobile intelligent screen first analyzes the obtained path image and uses an object detection algorithm to identify the objects and areas in the image. Then, it will match the detected objects with the predefined obstacle categories to determine whether there are obstacles that need to be avoided. If it is confirmed that there is an obstacle, the mobile intelligent screen will pause the current moving plan and start the path replanning program. When replanning, it will use a dynamic path planning algorithm to generate a new path that can safely avoid the obstacle based on the position, size of the obstacle and its own motion ability. Finally, the mobile intelligent screen will smoothly switch to the new path and continue to move towards the target position.

[0094] In some embodiments, the path redetermination based on obstacle detection can be achieved in various ways: Optionally, the mobile smart screen can first use a deep learning-based semantic segmentation algorithm to identify various objects in the path image; then, apply the probabilistic roadmap method to generate multiple candidate obstacle avoidance paths; finally, use a heuristic search algorithm to select the optimal solution from the candidate paths. Optionally, the mobile smart screen can construct a three-dimensional model of the obstacle through 3D point cloud processing technology; then, use the Rapidly-exploring Random Tree (RRT) algorithm to plan an obstacle avoidance path in three-dimensional space; finally, apply a trajectory optimization method to smooth the path and ensure the continuity of movement. It can be understood that other ways can also be adopted to achieve the path redetermination based on obstacle detection, such as using a reinforcement learning method to dynamically adjust the obstacle avoidance strategy, or combining the artificial potential field method to achieve real-time local path adjustment, etc., which are not limited here.

[0095] In some embodiments, when the mobile smart screen determines that there is an obstacle on the moving path according to the path image, it will obtain the obstacle information including the type, size, and position of the obstacle; according to the obstacle information and the space requirement parameters of the mobile smart screen, calculate the minimum steering angle and the shortest path required to bypass the obstacle; redetermine the moving path as the shortest path, and detect the obstacle information in real time when moving on the shortest path; if it is determined according to the obstacle information that the obstacle has moved, update the moving path again.

[0096] Among them, the obstacle information refers to the detailed data about the obstructing object obtained by the system through sensors. The space requirement parameter represents the minimum space size required for the mobile smart screen to pass safely. The minimum steering angle refers to the minimum rotation angle required to bypass the obstacle.

[0097] During the process of the mobile smart screen executing the moving task, the system will continuously analyze the path image to detect potential obstacles. Specifically, the system first uses a computer vision algorithm to analyze the path image and identify possible obstacles. Then, the system will analyze the characteristics of each obstacle in detail, including its type (such as static object or moving object), size (length, width, and height), and position. Next, the system combines the size and motion characteristics of the mobile smart screen to calculate the minimum steering angle required to safely bypass the obstacle. At the same time, the system will use a path planning algorithm to determine multiple possible detour plans and finally determine a shortest and safe new path. During the movement, the system will continuously monitor the state of the obstacle. If it is found that the position of the obstacle has changed, it will trigger the path replanning process to ensure that the mobile smart screen can flexibly respond to the dynamic environment.

[0098] S208. When determining that there is a standby point among the various points where the remaining power is lower than the preset safe power, obtain the device positions of the standby smart screens within the preset distance range of the standby point.

[0099] Referring to step S103, when the battery power of the mobile smart screen is low, it will determine the device location of the backup smart screen.

[0100] S209. Determine a target point for the handover between the mobile smart screen and the backup smart screen based on the real-time location, remaining battery power of the mobile smart screen, and the device location of the backup smart screen, and send a handover instruction including the target point to the backup smart screen.

[0101] Referring to step S104, the mobile smart screen will determine the target point for the handover and send a handover instruction.

[0102] S210. When moving to the target point and determining that the backup smart screen is at the target point, send a task transfer instruction to the backup smart screen, so that the backup smart screen displays the screen display information of the mobile smart screen and travels to the target location based on the movement path.

[0103] Referring to step S105, the mobile smart screen will move to the target point for handover.

[0104] S211. Move to the device location for charging.

[0105] Referring to step S106, the mobile smart screen will go to the device location for charging.

[0106] S212. Monitor the charging current and battery temperature during the charging process, and adjust the charging power in real time according to the battery temperature.

[0107] After the mobile smart screen enters the charging state, it will continuously execute this step to ensure the safety and efficiency of charging. Specifically, the mobile smart screen first activates its Battery Management System (BMS), continuously collects charging current and battery temperature data at multiple points. Then, it will compare the collected data with the preset safety thresholds to evaluate the safety of the current charging state. If it detects an abnormal increase in the battery temperature, the mobile smart screen will reduce the charging power to prevent overheating. At the same time, it will dynamically adjust the charging power according to the change trend of the battery temperature, using algorithms such as fuzzy control algorithms to maximize the charging efficiency while ensuring safety. In addition, the mobile smart screen will also record these data for subsequent battery health status analysis and charging strategy optimization.

[0108] In some embodiments, the monitoring and adjustment during the charging process can be achieved in various ways: Optionally, the mobile smart screen can first use a high-precision current sensor and a thermistor network to collect charging data in real time; then, apply the Kalman filtering algorithm to process the sensor data to reduce the influence of noise; finally, use the adaptive PID control algorithm to dynamically adjust the charging current and optimize the charging curve. Optionally, the mobile smart screen can monitor the surface temperature distribution of the battery through infrared thermal imaging technology; then, use a neural network model to predict the changing trend of the internal temperature of the battery; finally, apply the model predictive control (MPC) method to optimize the charging power curve and balance the charging speed and battery life. It can be understood that other methods can also be used to achieve the monitoring and adjustment during the charging process, such as using electrochemical impedance spectroscopy technology to evaluate the battery health state in real time, or combining machine learning methods to individually optimize the charging strategy for each battery, etc., which are not limited here.

[0109] S213. When the charged power reaches a preset power threshold, send a charging completion reminder to the user terminal.

[0110] Wherein, the charged power refers to the power currently stored in the battery. The preset power threshold represents the power standard recognized by the system for charging completion. The charging completion reminder refers to a message notifying the user that the charging has ended.

[0111] The mobile smart screen continuously monitors the battery power during the charging process and executes this step when the preset threshold is reached. Specifically, the mobile smart screen first continuously measures the real-time power of the battery through its battery management system (BMS). Then, it compares the measured power with the pre-set power threshold. When it detects that the power reaches or exceeds this threshold, the mobile smart screen will consider the charging process to be completed. Then, it generates a notification message containing information such as the charging completion status, the current power percentage, and the charging time. Finally, the mobile smart screen securely transmits this message to the user's terminal device through a preset communication channel (such as Wi-Fi or Bluetooth) to ensure that the user can timely understand the charging status.

[0112] In some embodiments, the charging completion reminder can be sent in various ways: Optionally, the mobile smart screen can first calculate the remaining battery power using Coulomb counting; then, apply message queue technology to ensure reliable delivery of notifications; finally, use a push notification service (such as Firebase Cloud Messaging) to send messages to the user's mobile device in real time. Optionally, the mobile smart screen can broadcast the change in charging status through a smart home protocol (such as MQTT); then, use end-to-end encryption to ensure the security of the notification content; finally, apply scenario awareness technology to select the most suitable notification method (such as sound, vibration, or screen reminder) according to the user's current situation. It can be understood that other methods can also be used to send the charging completion reminder, such as using distributed ledger technology to record the charging history for easy user tracing, or combining with an artificial intelligence assistant to notify the user of the charging completion status in a natural language manner, etc., which are not limited here.

[0113] In some embodiments, the mobile smart screen will obtain the user's subsequent instructions; the subsequent instructions include continuing to standby, resuming the original task, or executing a new task; when the subsequent instruction is to resume the original task, obtain the current location and task progress of the standby smart screen; determine the handover location and return path for taking over the task based on the current location and task progress, and move to the handover location along the return path; after arriving at the handover location, perform data synchronization with the standby smart screen to complete the task handover.

[0114] Among them, the subsequent instruction refers to the next work arrangement issued by the user after the mobile smart screen completes charging. The task progress is used to indicate the degree and status of the current work completion. The handover location is the predetermined location where the mobile smart screen and the standby smart screen perform task handover. Data synchronization represents the process of exchanging and updating task-related information between two devices.

[0115] After the mobile smart screen completes charging, the system will execute this process to ensure the continuity and smooth transition of the task. Specifically, the system first sends a charging completion notification to the user terminal and waits for the user's subsequent instructions. After receiving the instructions, the system will parse the instruction content to determine the next action. If the instruction is to resume the original task, the system will establish communication with the standby smart screen to obtain its current location and detailed task execution progress. Then, the system will comprehensively analyze factors such as the locations and task statuses of the mobile smart screen and the standby smart screen, calculate the optimal handover location and the return path of the mobile smart screen. Next, the system controls the mobile smart screen to move to the handover location along the planned path. After arriving, the system will start a high-speed data transfer protocol to perform comprehensive data synchronization with the standby smart screen, including task status, user preferences, environmental information, etc. After completing the synchronization, the system will smoothly take over the task to ensure seamless connection of the work.

[0116] In some embodiments, the task recovery and handover process of the mobile intelligent screen can be implemented in various ways: Optionally, the system can first use natural language processing technology to understand and execute the user's voice instructions; then, apply distributed database technology to synchronize the task status among multiple intelligent screens in real time; finally, use a collaborative positioning algorithm to calculate the optimal handover location. Optionally, the system can centrally manage the working status of multiple intelligent screens through a smart home control center; then, use a task handover protocol based on blockchain to ensure the security and integrity of data exchange; finally, apply a dynamic path planning algorithm to determine the real-time traffic conditions and optimize the return path. It can be understood that other ways can also be adopted to implement the task recovery and handover process of the mobile intelligent screen, such as using a multi-agent system to coordinate the cooperation of multiple intelligent screens, or combining augmented reality technology to assist users in intuitively performing task handover operations, etc., which are not limited herein.

[0117] In the embodiments of the present application, due to the adoption of an autonomous coordination mechanism between devices based on real-time power monitoring and a dynamic path planning algorithm, the mobile intelligent screen can autonomously find a backup device, plan an optimal handover path, and complete the task handover in the case of low power, effectively solving the problem of service interruption and the need for intervention caused by power exhaustion in traditional methods, and thus realizing the continuous and stable operation of the mobile intelligent screen. It not only improves the usage efficiency and reliability of the device, but also reduces the management cost. At the same time, through intelligent power management and task scheduling, it provides a more smooth and seamless service experience for users.

[0118] The mobile intelligent screen in the embodiments of the present invention application will be described from the perspective of hardware processing. Please refer to Figure 3 , which is a schematic structural diagram of an entity device of the mobile intelligent screen in the embodiments of the present application.

[0119] It should be noted that Figure 3 The structure of the mobile intelligent screen shown is only an example and should not bring any limitations to the functions and usage scope of the embodiments of the present invention.

[0120] Such as Figure 3As shown, the mobile smart screen includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the Read-Only Memory (ROM) 302 or the program loaded from the storage section 308 into the Random Access Memory (RAM) 303, such as executing the method described in the above embodiments. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0121] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a Liquid Crystal Display (LCD), an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read from it can be installed into the storage section 308 as needed.

[0122] Specifically, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network via the communication section 309, and / or installed from the removable medium 311. When the computer program is executed by the Central Processing Unit (CPU) 301, various functions defined in the present invention are executed.

[0123] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fibers, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0124] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. Among them, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order from that marked in the accompanying drawings.

[0125] Specifically, the mobile smart screen of this embodiment includes a processor and a memory, and a computer program is stored on the memory. When the computer program is executed by the processor, the mobile control method of the smart screen provided in the above embodiment is implemented.

[0126] On the other hand, the present invention also provides a computer-readable storage medium, which may be included in the mobile smart screen described in the above embodiment; or it may exist separately and not be assembled into the mobile smart screen. The above storage medium carries one or more computer programs. When the one or more computer programs are executed by a processor of the mobile smart screen, the mobile smart screen is enabled to implement the mobile control method of the smart screen provided in the above embodiment.

[0127] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present application.

[0128] As used in the foregoing embodiments, depending on the context, the term "when" may be construed to mean "if", "after", "in response to determining", or "in response to detecting". Similarly, depending on the context, the phrase "upon determining" or "if (the stated condition or event) is detected" may be construed to mean "if determined", "in response to determining", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0129] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the foregoing embodiments can be implemented by computer programs instructing relevant hardware. Such programs can be stored in a computer-readable storage medium. When executed, the programs can include the processes of the foregoing method embodiments. The aforementioned storage media include various media that can store program codes, such as ROM, random access memory (RAM), magnetic disks, or optical discs.

Claims

1. A mobile control method for a smart screen, characterized in that, Applied to a mobile smart screen, the method includes: Determining a target location to be moved to and a moving path to the target location based on a target setting instruction of a user terminal; Move according to the movement path, and determine the remaining power at each point of the movement path based on the real-time power; When it is determined that there is a standby point among the points where the remaining power is lower than the preset safety power, obtaining the device location of the standby smart screen within the preset distance range of the standby point; Determine a target point for handover between the mobile smart screen and the backup smart screen according to the real-time position of the mobile smart screen, the remaining power, and the device position of the backup smart screen, and send a handover instruction including the target point to the backup smart screen; When the mobile smart screen moves to the target location and determines that the standby smart screen is at the target location, a task transfer instruction is sent to the standby smart screen, so that the standby smart screen displays the screen display information of the mobile smart screen and moves to the target location based on the moving path; Move to the device location to charge.

2. The method according to claim 1, wherein The determining of the target location to be moved to and the moving path to the target location based on the target setting instruction of the user terminal specifically includes: receiving a target setting instruction from a user terminal; When it is determined that the target setting instruction is to follow a person, determining a position of a target person to be followed; Taking the position of the person as the target position to be moved to, determining a moving path to the target position; When movement of the target person is detected, the target position and the movement path are updated based on the position after the movement.

3. The method according to claim 1, wherein Before the step of determining the target location to be moved to and the moving path to the target location based on the target setting instruction of the user terminal, the method further includes: When the handle is detected to be held by the user, the action state is changed to the static state; When a thrust in the plane direction is detected after the stationary state, movement is performed according to the direction and magnitude of the thrust.

4. The method according to claim 1, wherein After the steps of moving according to the moving path and determining the remaining power at each point on the moving path based on the real-time power, the method further includes: Acquiring a path image on the moving path in real time; When it is determined according to the path image that there is an obstacle on the moving path, the moving path is re-determined to avoid the obstacle.

5. The method according to claim 4, characterized in that When it is determined according to the path image that there is an obstacle on the moving path, re-determining the moving path to avoid the obstacle specifically includes: When it is determined according to the path image that an obstacle exists on the moving path, obtaining obstacle information including the type, size, and position of the obstacle; Calculate the minimum steering angle and shortest path required to bypass the obstacle based on the obstacle information and the space requirement parameters of the mobile smart screen; Re-determining the moving path as the shortest path, and detecting the obstacle information in real time while moving on the shortest path; If it is determined according to the obstacle information that the obstacle has moved, the moving path is updated again.

6. The method according to claim 1, characterized in that After the step of moving to the device position for charging, the method further includes: Monitoring the charging current and battery temperature during the charging process, and adjusting the charging power in real time according to the battery temperature; When the charging amount reaches a preset power threshold, sending a charging completion reminder to the user terminal.

7. The method according to claim 6, characterized in that After the step of sending a charging completion reminder to the user terminal when the charging amount reaches a preset power threshold, the method further includes: Obtaining a subsequent instruction of the user; the subsequent instruction includes continuing to standby, resuming the original task, or executing a new task; When the subsequent instruction is to resume the original task, obtaining the current position and task progress of the standby smart screen; Determining a handover location and a return path for taking over the task according to the current position and the task progress, and moving along the return path to the handover location; After arriving at the handover location, performing data synchronization with the standby smart screen to complete the task handover.

8. A mobile smart screen, characterized in that: The mobile smart screen includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the mobile smart screen to execute the method according to any one of claims 1-7.

9. A computer-readable storage medium, comprising instructions, characterized in that, When the instruction runs on the mobile smart screen, causing the mobile smart screen to execute the method according to any one of claims 1-7.

10. A computer program product, characterized in that When the computer program product runs on the mobile smart screen, causing the mobile smart screen to execute the method according to any one of claims 1-7.

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