Configuration method of vehicle-mounted manual environment, vehicle and electronic equipment

Abstract

The invention provides a configuration method of a vehicle-mounted manual environment, a vehicle and electronic equipment, and relates to the technical field of intelligent vehicles, the method comprises the following steps: first, responding to a manual activity performed by a user in the vehicle, and detecting a manual type of the manual activity performed by the user; secondly, a target configuration strategy is determined based on the manual type, the environment data of the environment where the vehicle is located and the vehicle state data of the vehicle, and the target configuration strategy is a configuration scheme that a vehicle-mounted environment subsystem of the vehicle is matched with the manual type; and finally, on the basis of the target configuration strategy, configuring a vehicle-mounted environment subsystem of the vehicle to form a vehicle-mounted manual environment adaptive to the manual type. The technical problem that in the prior art, a vehicle lacks special environment support for multiple types of manual activities is solved.

Description

Technical Field

[0001] This disclosure relates to the field of intelligent vehicle technology, and more particularly to a method for configuring an in-vehicle manual environment, a vehicle, and electronic equipment. Background Technology

[0002] With the upgrading of automobile consumption and the diversification of travel scenarios, vehicles are no longer limited to simple means of transportation, but are gradually extending into mobile leisure spaces. Manufacturers are focusing on optimizing ride comfort, interior space utilization, and basic entertainment features to meet users' leisure needs during long-distance travel and daily commutes. However, these optimizations are mostly geared towards the common needs of general users. For niche groups with specific interests and preferences, such as craft enthusiasts, their specific needs for engaging in craft activities while traveling have not yet been addressed, and the functional expansion of related scenarios remains a blank.

[0003] In summary, existing technologies suffer from the technical problem of vehicles lacking dedicated environmental support for various types of manual activities. Summary of the Invention

[0004] In view of the above problems, this disclosure provides a configuration method, vehicle, and electronic equipment for overcoming or at least partially solving the current lack of dedicated environmental support for various types of manual activities in vehicles. The technical solution is as follows: A method for configuring an in-vehicle manual environment, the method comprising: In response to a user performing a manual activity inside the vehicle, the type of manual activity performed by the user is detected. Based on the manual type, the environmental data of the vehicle's environment, and the vehicle's status data, a target configuration strategy is determined. The target configuration strategy is a configuration scheme for adapting the vehicle's in-vehicle environment subsystem to the manual type. Based on the target configuration strategy, the vehicle's in-vehicle environment subsystem is configured to form an in-vehicle manual environment adapted to the manual type.

[0005] In this way, by responding to craft activities and detecting the type of craft, and combining the vehicle's environmental data and vehicle status data to determine the appropriate target configuration strategy, the in-vehicle environment subsystem can be configured in a targeted manner. This effectively solves the problem of lack of dedicated environmental support for various types of craft enthusiasts in the car, allowing the in-vehicle craft environment to fully meet the core needs of specific craft types, while adapting to the real-time environment and vehicle status. This significantly improves the comfort and convenience of craft activities during the journey, enriches the diversity of in-vehicle leisure scenarios, and provides craft enthusiasts with a more suitable in-vehicle activity space.

[0006] Optionally, determining the target configuration strategy based on the manual type, the environmental data of the vehicle's environment, and the vehicle's status data includes: Based on the manual type, an initial configuration strategy for at least one in-vehicle environment subsystem is determined. The initial configuration strategy is used to characterize the basic functional modes, adaptation parameters, and structural planning of the in-vehicle environment subsystem to adapt to the manual type. The initial configuration strategy is adjusted based on the environmental data, the vehicle status data, and the manual type requirements to obtain the target configuration strategy.

[0007] In this way, by first determining the initial configuration strategy of the in-vehicle environment subsystem based on the manual operation type, clarifying the basic functional modes, parameters, and structural planning adapted to that manual operation type, and then adjusting it in combination with environmental data and vehicle status data, it not only ensures that the initial configuration is specific to the manual operation type, but also makes up for the limitations of a single initial configuration through dynamic adjustment. This approach allows the target configuration strategy to not only meet the core needs of manual operation, but also adapt to the real-time changing environment and vehicle status, making the adaptation of the in-vehicle manual environment more flexible and practical, and further optimizing the manual operation experience.

[0008] Optionally, adjusting the initial configuration strategy based on the environmental data, the vehicle status data, and the manual type requirements to obtain the target configuration strategy includes: Based on the environmental data and the vehicle status data, determine the deviation between the initial configuration strategy and the manual type requirements; Based on the deviation, the initial configuration strategy is adjusted to determine the target configuration strategy.

[0009] In this way, by identifying the discrepancies between the initial configuration strategy and manual operation requirements through environmental and vehicle status data, and then making targeted adjustments based on these discrepancies, the gap between the initial configuration and the actual scenario requirements can be effectively bridged. This adjustment logic makes the target configuration strategy more aligned with the actual needs of manual operation, while also adapting to the influence of real-time environment and vehicle status. This avoids adaptation problems caused by environmental changes or fluctuations in vehicle status, making the configuration effect of the in-vehicle manual environment more stable and better meet user expectations.

[0010] Optionally, in response to a user performing a manual activity within the vehicle, detecting the type of manual activity performed by the user includes: In response to a user performing a manual activity inside the vehicle, acquire an image of the manual area inside the vehicle; Based on the image of the manual area, extract user operation information and / or tool and material information; The user operation information and / or the tool and material information are compared with a preset manual type feature library, and the manual type is determined based on the comparison results.

[0011] In this way, by acquiring images of the handcrafted areas inside the vehicle, extracting user operation information and / or tool and material information, and comparing them with a preset feature library to determine the type of handcraft, automated and non-contact detection of handcraft types is achieved. This method eliminates the need for additional cumbersome user operations. Relying on feature extraction and comparison of image information, it can efficiently identify multiple types of handcraft, improving the convenience and reliability of handcraft type detection, laying the foundation for rapid adaptation to in-vehicle handcraft environments, and optimizing the user workflow.

[0012] Optionally, the step of detecting the type of manual activity performed by a user in response to a manual activity performed by the user in the vehicle further includes: In response to a user performing a manual activity inside the vehicle, the user actively inputs a type of instruction. The manual type is determined based on the type instruction.

[0013] In this way, determining the manual type by obtaining the type command actively input by the user provides a flexible supplementary method for manual type detection. It can not only improve the recognition accuracy by working with automated image recognition and detection, but also meet the operating habits of some users who prefer to actively input their own data. It is especially suitable for special manual type scenarios that are difficult for automated recognition to determine, enhancing the flexibility and comprehensiveness of manual type detection and increasing the user's autonomy in using the system.

[0014] Optionally, the method further includes: During the manual activity, the progress of the manual activity is monitored; Based on the manual type and the process, the process guidance database corresponding to the manual type is invoked. The database pre-stores the key points of operation, common problems and solutions for each stage of the manual type. Based on the current process stage, appropriate guidance content is extracted from the process guidance database to generate guidance information; Based on the operational characteristics of the manual type, an appropriate output method is selected to output the guidance information. The operational characteristics include at least one of the following: the degree of hand occupation of the user, the degree of visual attention required, and the stability requirements of the operating environment.

[0015] In this way, by monitoring the progress during manual activities, retrieving appropriate guidance content from a dedicated process guidance database, and selecting a suitable output method based on the operational characteristics of the manual type, targeted guidance tailored to the current production stage can be provided to users. This not only solves potential technical difficulties encountered in manual operations but also avoids interference from guidance information by adapting the output method to factors such as hand usage and visual needs. This effectively reduces the difficulty of manual operations, improves production efficiency and product quality, and enriches the auxiliary support functions for in-vehicle manual activities.

[0016] Optionally, the method further includes: Record the in-vehicle manual operation environment and guidance information corresponding to the aforementioned manual operation type, and update the configuration information; When the same manual type and environmental conditions are detected again, the vehicle manual environment parameters and guidance information output strategy are determined based on the updated configuration information.

[0017] In this way, by recording the in-vehicle manual operation environment and guidance information corresponding to the manual operation type and updating the configuration information, the reuse of personalized configurations is achieved. When the same manual operation type and similar environmental conditions are detected again, the parameters and output strategies can be determined directly based on the updated configuration information, without requiring users to make repeated adjustments. This significantly shortens the environment adaptation time, while making the configuration more in line with the user's historical operating preferences, improving ease of use and personalization, and enhancing user acceptance of the system.

[0018] Optionally, the method further includes: Based on the current stage of the manual activity and the estimated remaining production time, a progress planning suggestion is generated and output, taking into account the vehicle travel time. The progress planning suggestions and health reminders are output at preset time intervals. Recommended supplementary materials, alternative tools, and creative optimization directions for the current stage of the process.

[0019] In this way, based on the progress of the craft and the duration of the journey, the system generates progress planning suggestions, regularly provides health reminders, and recommends supplementary materials, alternative tools, and creative directions. This helps users allocate their craft time during the journey reasonably, avoiding abandoning their projects halfway due to the end of the trip, and also reduces the health risks associated with prolonged hands-on work. At the same time, the material and tool recommendations solve the problem of insufficient materials and tools during the journey, and the creative direction suggestions inspire users' creative ideas, making in-car craft activities more complete, fun, and creative.

[0020] A device for configuring an in-vehicle manual environment, the device comprising: The detection module is used to detect the type of manual activity performed by a user inside the vehicle in response to such manual activity. The determination module is used to determine a target configuration strategy based on the manual type, the environmental data of the vehicle's environment, and the vehicle's status data. The target configuration strategy is a configuration scheme for the vehicle's in-vehicle environment subsystem to adapt to the manual type. The configuration module is used to configure the vehicle's in-vehicle environment subsystem based on the target configuration strategy to form an in-vehicle manual environment adapted to the manual type.

[0021] A vehicle includes an onboard controller, the onboard controller including a memory, a processor, and a computer program stored in the memory, wherein when the processor executes the computer program, it implements a configuration method for any of the optional onboard manual environments described above.

[0022] An electronic device includes a memory, a processor, and a computer program stored in the memory, wherein when the processor executes the computer program, it implements a configuration method for any of the optional in-vehicle manual environments described above.

[0023] By employing the above technical solution, this disclosure provides a method for configuring an in-vehicle craft environment. First, in response to a user engaging in craft activities within the vehicle, the type of craft activity is detected. Second, based on the craft type, environmental data of the vehicle's environment, and vehicle status data, a target configuration strategy is determined. This target configuration strategy is a configuration scheme for the vehicle's in-vehicle environment subsystem adapted to the craft type. Finally, based on the target configuration strategy, the vehicle's in-vehicle environment subsystem is configured to form an in-vehicle craft environment adapted to the craft type. In this way, by responding to a user's craft activities within the vehicle and identifying the specific craft type, combining the vehicle's environmental data and vehicle status data to formulate an adaptive target configuration strategy, and then collaboratively configuring the in-vehicle environment subsystem, the core problem of the lack of dedicated environmental support for various types of craft enthusiasts engaging in craft activities within a vehicle is systematically solved. This method enables in-vehicle craft environments to meet the specific needs of various craft types, such as crochet, woodworking, jewelry making, pottery, fabric crafts, and electronic crafts. It dynamically adapts to real-time environmental changes and vehicle operating status, significantly improving the comfort, convenience, and safety of craft activities during travel. It also enriches the diversity of in-vehicle leisure scenarios, creating a dedicated and flexible in-vehicle activity space for craft enthusiasts. It supports the smooth development and rapid switching of various craft types, further enhancing the creativity and fun of long-distance travel and providing targeted care for special interest groups.

[0024] The above description is merely an overview of the technical solution disclosed herein. In order to better understand the technical means of this disclosure and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this disclosure more apparent and understandable, specific embodiments of this disclosure are described below. Attached Figure Description

[0025] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this disclosure. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 One of the schematic flowcharts of the configuration method for an in-vehicle manual environment provided in this embodiment of the present disclosure is shown; Figure 2 A second schematic flowchart of the configuration method for an in-vehicle manual environment provided in an embodiment of this disclosure is shown; Figure 3 The third schematic flowchart illustrates the configuration method of the in-vehicle manual environment provided in this embodiment of the present disclosure; Figure 4 The fourth schematic flowchart illustrates the configuration method of the in-vehicle manual environment provided in this embodiment of the present disclosure; Figure 5 Fifth of the flowcharts illustrating the configuration method of the in-vehicle manual environment provided in this embodiment of the present disclosure is shown. Figure 6 A sixth schematic flowchart illustrating the configuration method of the in-vehicle manual environment provided in this embodiment of the present disclosure is shown; Figure 7 The seventh flowchart illustrates the configuration method of the in-vehicle manual environment provided in this embodiment of the present disclosure; Figure 8 A schematic diagram of the configuration device for an in-vehicle manual environment provided in an embodiment of the present disclosure is shown. Detailed Implementation

[0026] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0027] The core design logic of existing vehicles revolves around driving safety and passenger versatility, neglecting the specific needs of manual activities. In terms of spatial layout, fixed structures such as seats and armrests fail to provide a stable platform suitable for manual operations, forcing users to find temporary support points, resulting in extremely poor operational convenience. The interior lighting system only meets basic visual needs, with insufficient brightness and low color rendering, failing to reproduce the true colors of handcraft materials and unable to eliminate shadows in the work area, severely impacting detail observation. Storage spaces are designed for universal use, lacking categorized storage for different types of handcraft tools and materials, leading to tool clutter, inconvenience in access, and easy loss of small parts. Vibrations generated during vehicle operation lack effective damping, easily causing operational errors for manual activities requiring high precision. Furthermore, the dispersed and limited power outlets within the vehicle cannot meet the continuous power needs of electronic devices related to handcraft activities, and the lack of dedicated tool securing mechanisms allows tools to easily slip during driving, posing a safety hazard.

[0028] To address the technical problem of the lack of dedicated environmental support for various types of manual activities in vehicles in existing technologies, this disclosure provides a method for configuring an in-vehicle manual environment. This method can be executed by an in-vehicle controller, which can specifically be a vehicle infotainment system, cockpit domain controller, body controller, or vehicle controller, etc. Figure 1 As shown, the method includes: S11. In response to a user performing a manual activity inside the vehicle, detect the type of manual activity performed by the user.

[0029] Specifically, the system first triggers manual activity determination (such as tool retrieval, workbench unlocking, etc.) through vehicle sensors or user operation behavior; then, it collects multi-dimensional information related to the type of manual activity (including user operation actions, tools and materials used, workbench modules assembled, etc.); next, it compares the collected information with a preset manual activity type feature library, which covers typical operation characteristics, tool shapes, material properties, etc. of various manual activities; finally, it outputs the final manual activity type determination result through single-dimensional confirmation or multi-dimensional cross-validation, while also supporting dynamic updates of type changes during manual activities.

[0030] In this embodiment, the core is to identify the type of manual activity currently being performed by the user through multi-dimensional information collection and feature matching after the manual activity is triggered, so as to provide a basis for the targeted configuration of the subsequent vehicle environment subsystem.

[0031] S12. Based on the manual type, environmental data of the vehicle's environment, and vehicle status data, determine the target configuration strategy.

[0032] The target configuration strategy is to adapt the vehicle's in-vehicle environment subsystem to a manual configuration scheme.

[0033] Specifically, firstly, based on the identified manual activity type, the initial configuration strategy for each in-vehicle environment subsystem is determined. The initial configuration must meet the core requirements of that manual activity type (such as operating platform functions, lighting and vision requirements, tool storage rules, and stability and accuracy requirements). Then, environmental data of the vehicle's environment (such as in-vehicle light intensity, temperature, and humidity) and vehicle status data (such as driving / stationary status, road conditions, and vibration intensity) are collected. Next, the adaptation deviation between the initial configuration and the real-time environment and vehicle status is analyzed (such as the deviation between the initial lighting parameters and the current ambient light, and the deviation between the initial stabilization mode and the current road conditions). Finally, the initial configuration of each subsystem is adjusted in a targeted manner to address the deviations, ensuring that the configurations of each subsystem are coordinated and matched to form the final target configuration strategy.

[0034] Specifically, the target configuration strategy may include strategies for configuring the workbench environment, the lighting environment, the tool storage environment, and the operating environment of the vehicle stability support system.

[0035] For example, based on the type of craft, a matching craft module is determined, integrating the specific operating components required for that craft type. Based on the craft module, corresponding installation information is generated and output to prompt the user to configure the workbench environment. Based on the craft type, the vehicle's interior lighting system is determined and controlled to switch to a lighting mode matching the craft type. This lighting mode includes at least lighting parameters specific to the craft type, and the lighting parameters are adjusted based on the current ambient light intensity inside the vehicle to configure the lighting environment. Based on the craft type, the tool storage area corresponding to that craft type is determined and unlocked. This tool storage area has a pre-defined partition structure based on the tool characteristics of the craft type. For example, for crochet crafts: the tools are small and scattered (such as crochet hooks and knitting needles), the yarn is easily tangled, and the accessories are small (such as buttons and beads). The corresponding partition structure design includes multi-size anti-drop slots (compatible with different models of crochet hooks / knitting needles) + independent spool holders (with anti-tangling clips) + Sealed small parts compartments (with categorization labels); Woodworking tools: These tools are characterized by their large size, hard materials (e.g., saws, chisels), sharp edges, and concentrated weight. The corresponding compartmentalization design includes cut-resistant sheath-type slots (to secure tools with sharp edges) + load-bearing dividers (for heavy-duty tools) + anti-slip rubber pads (to prevent displacement due to vehicle vibration); Jewelry making tools: These tools are characterized by their precision and small size (e.g., tweezers, carving knives), susceptibility to scratches (e.g., gemstone blanks), and need for anti-static properties. The corresponding compartmentalization design includes anti-static soft-lined grooves (to protect precision tools) + individual sealed storage boxes (for storing gemstone materials) + Magnetic tool holders (for quick and easy access), etc.; the locking level of the tool storage area is switched according to the vehicle's operating status to configure the tool storage environment. The locking levels include a fully locked state adapted to driving scenarios and a partially unlocked state adapted to operating scenarios; the corresponding stability mode is determined based on the precision requirements of manual tasks. The stability mode has preset shock absorption strategies and support strength adapted to the precision requirements; the operating parameters of the stability mode are adjusted based on the vehicle's motion status and road condition information to configure the operating environment of the vehicle stability support system.

[0036] In this embodiment, the core is to take the manual type as the core adaptation basis, combine real-time environmental data and vehicle status data, and formulate a collaborative configuration scheme for the vehicle environment subsystem (workbench, lighting, tool storage, and stability support) to achieve manual type exclusive adaptation and real-time scene dynamic optimization.

[0037] S13. Based on the target configuration strategy, configure the vehicle's in-vehicle environment subsystem to form an in-vehicle manual environment adapted to manual types.

[0038] Specifically, firstly, configuration instructions (including mode switching, parameter calibration, and function activation) are issued to each vehicle environment subsystem (workbench, lighting, tool storage, and stability support) according to the target configuration strategy. The execution of the mode switching instruction forms a closed loop with the previously generated installation information and the output of installation information to prompt the user to configure the workbench environment: For the modular workbench subsystem, the user is first prompted to complete the assembly of the exclusive module matching the manual type based on the previously generated manual module installation information (including exclusive module model, assembly steps, and fixing method). After the vehicle sensors detect that the module is assembled in place and fixed firmly, the system automatically triggers the mode switching of the workbench subsystem, switching from the general unconfigured mode to the exclusive working mode corresponding to the manual type, and simultaneously activating the exclusive operating components integrated in the module (such as the anti-tangle spool holder of the crochet module and the magnifying glass bracket of the jewelry making module).

[0039] Subsequently, each subsystem executes configuration operations according to instructions, while simultaneously achieving collaborative linkage between subsystems (such as the lighting system switching to the corresponding mode after the workbench module is switched, and the stabilization support system adapting to the accuracy requirements of the module); then, the configuration status of each subsystem is verified (such as the stability of module installation, the compliance of lighting parameters, the compatibility of storage and locking levels, vibration suppression effects, etc.); finally, the configuration effects of each subsystem are integrated to form a conflict-free, highly adaptable vehicle-mounted manual environment, supporting the smooth conduct of manual activities.

[0040] For example, subsystem configuration execution: Workbench Environment: After completing the installation of the dedicated module according to the assembly instructions, the sensor verifies the module's locked state (magnetic + snap-on double fixation). The tabletop angle / height adjustment mechanism is unlocked, and the user adjusts to a suitable posture before locking the current position. The module's dedicated auxiliary functions (such as the static eliminator in the electronic craft module) are activated. This dedicated workbench is integrated into the expandable central area between the rear seats of the vehicle and consists of a "modular operating table, adjustable support frame, double fixing mechanism, and dedicated craft function modules." Core components may include: dedicated function modules matching craft types (such as electronic craft modules with static eliminators, jewelry making modules, etc.). Includes a magnifying glass holder, angle / height adjustment rod, magnetic locking assembly, and snap-on fixing base; the structural connection is a sliding connection between the support frame and the vehicle's center armrest guide rail, and the dedicated module is fixed to the operating table through a dual structure of "magnetic attraction + snap-on" (magnetic attraction force ≥50N, snap-on fully engaged); after the dedicated module is installed according to the instructions, the sensor verifies the module's locked state, unlocking the table's angle (adjustment range 0°-60°) / height (adjustment range 70cm-85cm) adjustment mechanism. After the user adjusts to a suitable posture, the current position is locked, activating the module's exclusive auxiliary functions (such as the static electricity elimination function of the electronic manual module). (Excluder); Lighting environment: Switch to manual lighting mode. This system is deployed in the roof lining and the back of the front seats, activating the lighting according to adjusted parameters (such as high color rendering index lighting + color contrast enhancement in fabric mode), continuously monitoring ambient light changes and dynamically fine-tuning to ensure no glare and no shadows; Tool storage environment: This storage area is integrated into the storage compartments on the sides of the front seats and the rear center armrest. Unlock the dedicated storage compartment for the current manual type, and switch the locking level according to the vehicle status (fully locked when driving, partially unlocked when stationary), via RFID (Radio Frequency Identifier). The system uses dual-mode identification tags (RFID + NFC) to monitor the tool's retrieval / return status in real time and update tool inventory. It provides stable support: the system is deployed between the workbench and the vehicle floor, consisting of a multi-mode damping assembly, adjustable support feet, and a six-axis sensor. It activates the corresponding stabilization mode (e.g., standard stabilization mode for pottery making, precision stabilization mode for jewelry making), operates according to the adjusted damping strategy and support strength parameters, and continuously monitors the stability status through the six-axis sensor to counteract vehicle vibrations in real time.

[0041] After each subsystem is configured, the system verifies compatibility (e.g., whether the workbench module matches the lighting mode, whether the stability support meets the precision requirements of manual work, and whether the storage and locking level is suitable for the vehicle's condition). If conflicts exist, parameters are automatically fine-tuned (e.g., the lighting direction is simultaneously optimized after the workbench angle is adjusted). This ultimately forms an integrated in-vehicle manual environment, supporting users to smoothly carry out manual activities, and the configuration can be dynamically updated according to changes in the type of manual work or the scene.

[0042] In this embodiment, the core is to configure strategies according to the target, coordinately activate and debug various subsystems of the vehicle environment, realize the functional linkage of each subsystem, and ultimately build an integrated vehicle manual environment that fits the core needs of manual work and adapts to the real-time environment and vehicle status.

[0043] The above solution addresses the core issue of a lack of dedicated environmental support for various craft enthusiasts when engaging in in-vehicle craft activities. It responds to users' in-vehicle craft activities, identifies specific craft types, and formulates adaptive target configuration strategies based on vehicle environmental and status data. This is followed by collaborative configuration of the in-vehicle environment subsystem. The method allows the in-vehicle craft environment to meet the specific needs of various craft types, such as crochet, woodworking, jewelry making, pottery, fabric crafts, and electronic crafts. It dynamically adapts to real-time environmental changes and vehicle operating status, significantly improving the comfort, convenience, and safety of craft activities during travel. It also enriches the diversity of in-vehicle leisure scenarios, creating a dedicated and flexible in-vehicle activity space for craft enthusiasts. This supports the smooth execution and rapid switching between various craft types, further enhancing the creativity and enjoyment of long-distance travel and providing targeted care for special interest groups.

[0044] In some embodiments, such as Figure 2 As shown, based on the manual type, environmental data of the vehicle's environment, and vehicle status data, the target configuration strategy is determined, including: S121. Based on the manual type, determine the initial configuration strategy for at least one in-vehicle environment subsystem.

[0045] The initial configuration strategy is used to characterize the basic functional modes, adaptation parameters, and structural planning of the vehicle environment subsystem for manual adaptation.

[0046] Specifically, the core categories of the in-vehicle environment subsystem are first clarified, including the modular workbench subsystem, intelligent lighting subsystem, tool classification and storage subsystem, adaptive stability support subsystem, and intelligent auxiliary subsystem. Then, based on the identified manual operation type, the preset manual operation type and subsystem configuration mapping relationship is retrieved to determine the initial configuration strategy for each subsystem. This strategy includes three core dimensions: first, the basic functional mode (a dedicated operating mode adapted to the manual operation type); second, the core adaptation parameters (basic parameter standards that meet the needs of manual operation); and third, the dedicated structural planning (the physical structure and layout that fits the manual operation). The initial configuration strategy is formulated strictly around the operational characteristics, tool requirements, visual requirements, and stability requirements of the manual operation type to ensure that the initial state of each subsystem has the core capabilities adapted to that manual operation type.

[0047] For example, the modular workbench subsystem includes: a dedicated crochet module for the crochet type, with a basic functional mode of crochet-specific operation support (a dedicated operating mode integrating tool assistance and material fixing functions); core adaptation parameters: initial workbench angle 30°±5°, initial height 75cm±3cm; dedicated structural design: layout and activation status of anti-tangle spool holders, magnetic needle pads, and fabric holders, and physical configuration of a magnetic + snap-lock fixing mechanism; and a dedicated woodworking module for the woodworking type, with a basic functional mode of woodworking-specific operation support (a dedicated operating mode integrating clamp fixing and measurement assistance functions); core adaptation parameters: initial opening and closing degree of precision clamps; dedicated structural design: layout and activation status of measuring ruler slots, and anti-slip workbench. Structural Configuration; Intelligent Lighting Subsystem: Jewelry Making Type Initial Configuration is set to Jewelry Making Mode, Basic Function Mode: Adjustable Color Temperature + Ring Shadowless Lighting (Exclusive Operating Mode for Fine Jewelry Observation); Core Adaptation Parameters: Color Rendering Index ≥ 95%, Initial Color Temperature 4500K±200K; Dedicated Structural Planning: Physical Layout with All Ring Lights On; Fabric Type Initial Configuration is set to Fabric Mode, Basic Function Mode: High Color Rendering Index Lighting + Color Contrast Enhancement (Exclusive Operating Mode for Fabric Color Discrimination); Core Adaptation Parameters: Initial Brightness 800lux±50lux; Dedicated Structural Planning: Light Distribution Layout of Lighting Components; Tool Classification and Storage Subsystem: Electronic Craft Type Initial Configuration is an Electronic Tool Area, Basic Function... Modes: Standard security level lock mode (dedicated operating mode adapted to the anti-static and anti-loss requirements of electronic tools); Core adaptation parameters: Only allows identification and unlocking permissions for electronic tools; Dedicated structural planning: Partitioned layout and activation status of anti-static tool slots and precision component boxes; Initial configuration for ceramics type is ceramic tool area, basic function mode: Dedicated storage mode for ceramic tools (dedicated operating mode adapted to the anti-stick and material sealing requirements of ceramic tools); Core adaptation parameters: No additional quantitative parameters (focusing on functional adaptation); Dedicated structural planning: Partitioned layout and activation status of clay sealing jars and tool anti-stick racks; Adaptive stability support subsystem for precision handicrafts (jewelry making, electronic handicrafts) initially configured as precision handicraft mode, basic function mode. : Electromagnetic active vibration damping + air-float platform (dedicated operating mode adapted to high-precision operation requirements); Core adaptation parameter: Vibration suppression rate ≥99%; Dedicated structural planning: Physical layout configuration of electromagnetic vibration damping components and air-float platform; Conventional handicrafts (crocheting, fabric crafts) initial configuration is standard handicraft mode, basic function mode: hydraulic damping + mechanical stabilization (dedicated operating mode adapted to conventional operation requirements); Core adaptation parameter: No additional quantitative parameters (functional adaptation is the core); Dedicated structural planning: Physical layout configuration of hydraulic damping components and mechanical stabilization structure; Intelligent auxiliary subsystem woodworking type initial configuration is woodworking process guidance mode, basic function mode: AR augmented reality guidance + voice assistant (dedicated operating mode adapted to woodworking operation guidance requirements);Core adaptation parameters: woodworking-specific scales for the AR guidance interface, and a dedicated command set for woodworking operations based on gesture recognition; dedicated structural planning: display layout of the AR guidance interface, and configuration of the trigger structure for voice interaction.

[0048] In this embodiment, the core is to take the manual type as the sole core basis and formulate a basic configuration framework for the vehicle environment subsystem that is adapted to the manual type. This framework clarifies the core functional direction, basic adaptation standards and overall structural planning of the subsystem. It does not need to consider the real-time environment and vehicle status, but only focuses on the inherent needs of the manual type itself, providing a targeted initial benchmark for subsequent dynamic adjustments.

[0049] S122. Adjust the initial configuration strategy based on environmental data, vehicle status data, and manual type requirements to obtain the target configuration strategy.

[0050] Specifically, two types of key data are collected first: environmental data (parameters affecting the adaptation effect of handcrafts, such as ambient light intensity, color temperature, temperature and humidity, and air quality inside the vehicle), and vehicle status data (dynamic parameters related to the vehicle, such as vehicle operating status, real-time road conditions, vibration intensity, and driving posture). The system pre-builds a mapping library of handcraft types and core requirements. For each type of handcraft, such as crochet, woodworking, and jewelry making, core requirements are set for dimensions such as operating platform functions, lighting and vision, tool storage, and stability and accuracy (for example, the core requirements for crochet are that the operating platform must support the fixing of yarn and storage of small parts, the lighting must be natural white light without shadows, the tool storage must prevent the loss of loose items, and the stability and accuracy must compensate for slight vibrations; the core requirements for jewelry making are that the operating platform must support precise placement, the lighting must be high color rendering and shadowless, the tool storage must be anti-static, and the stability and accuracy must have strong vibration suppression). After determining the type of handcraft, the corresponding core requirements are directly matched.

[0051] Subsequently, the basic functional modes, adaptation parameters, and structural planning of the initial configuration strategy are compared with the core requirements of the manual type. The basic functional modes of the initial configuration are matched with the functional dimensions of the core requirements, the adaptation parameters are matched with the parameter dimensions of the core requirements, and the structural planning is matched with the structural dimensions of the core requirements. Then, combined with the collected real-time data, the deviation dimensions (such as the deviation between lighting parameters and ambient light, and the deviation between the stable mode and vehicle vibration) and the degree of deviation are identified. For example, if the initial configuration of "jewelry making lighting mode (color rendering index 95%)" matches its core requirements, but the current ambient light causes the actual color rendering effect to be less than 90%, it is determined to be a deviation between the lighting adaptation parameters and the core requirements.

[0052] Finally, for different deviations, the initial configuration of each subsystem is individually optimized and coordinated to ensure that the adjusted target configuration strategy not only meets the core requirements of manual configuration, but also offsets the adverse effects of real-time environment and vehicle status, while ensuring the consistency of configuration effects of each subsystem.

[0053] In this embodiment, the core is to take the core requirements of manual type as the benchmark, combine real-time collected environmental data and vehicle status data, identify the gap between the initial configuration strategy and the actual scenario requirements, and then optimize the initial configuration in a targeted manner, so as to form a target configuration strategy that not only fits the inherent requirements of manual type, but also adapts to the real-time environment and vehicle status.

[0054] In the above solution, S121 determines the initial configuration strategy of the in-vehicle environment subsystem based on the manual operation type, clearly defining the basic functional modes, parameters, and structural planning adapted to this manual operation type, ensuring that the initial configuration is targeted to the specific manual operation requirements. S122 combines environmental data and vehicle status data to identify and adjust deviations, effectively bridging the gap between a single initial configuration and real-time scenarios. The synergy of these two steps ensures that the target configuration strategy not only aligns with the core requirements of the manual operation type but also dynamically adapts to environmental changes and vehicle status fluctuations, improving the flexibility and practicality of the in-vehicle manual environment configuration, avoiding poor adaptation due to scenario changes, and making the configuration of each in-vehicle environment subsystem more in line with the user's actual operational expectations.

[0055] In some embodiments, such as Figure 3 As shown, in response to a user performing a manual activity inside the vehicle, the type of manual activity performed by the user is detected, including: S111, In response to a user performing a manual activity inside the vehicle, acquire an image of the manual area inside the vehicle.

[0056] Specifically, the system first triggers manual activity detection through vehicle-mounted sensors or user actions (such as unlocking the modular workbench, retrieving tools from the tool storage area, and detecting continuous hand movements in the operation area). Then, a preset image acquisition device is activated to focus on the core areas of manual operation (workbench surface, user hand movement range, tool placement area, and material placement area) for image acquisition. During the acquisition process, the image clarity must meet the requirements of feature recognition, covering the three core information dimensions of "user operation actions, handheld tools, and materials to be processed". After acquisition, the image data is transmitted to the subsequent feature extraction module to provide complete visual evidence for information extraction.

[0057] In this embodiment, the core is to acquire visual data of the manual operation area through an image acquisition device after determining that the user has started manual activity in the vehicle, so as to provide basic data support for subsequent extraction of manual-related features and identification of manual type.

[0058] S112. Extract user operation information and / or tool and material information based on the manual area image.

[0059] Specifically, the preprocessed handcrafted area image is first analyzed in layers, decomposed into three dimensions: "operation action layer, tool shape layer, and material appearance layer." Then, corresponding feature extraction logic is applied to each dimension: the operation action layer extracts dynamic features such as hand movement trajectory, posture, and force application method; the tool shape layer extracts static features such as tool outline, size, and structural details; and the material appearance layer extracts attribute features such as material color, texture, shape, and feel. Finally, the extracted multi-dimensional features are filtered and integrated, retaining core features strongly related to the handcrafted type and eliminating redundant features caused by environmental interference factors (such as car interior decoration, light and shadow reflection, etc.), forming a standardized feature information set.

[0060] In this embodiment, the core is to perform visual feature analysis on the collected images of the handcrafted areas and extract key information related to the determination of the handcrafted type, including the user's operational behavior characteristics, the morphological attribute characteristics of the tools, and the appearance characteristics of the materials. This provides a core identification basis for subsequent comparison with a preset feature library. The specific extraction algorithm and feature dimensions are not limited; only the core objective of extracting key information related to handcrafting is clearly defined.

[0061] S113. Compare the user operation information and / or tool and material information with the preset manual type feature library, and determine the manual type based on the comparison results.

[0062] Specifically, the system first retrieves a pre-defined feature library of handicraft types, which stores "operation action feature templates, tool shape feature templates, material appearance feature templates," and multi-feature combination templates for various handicrafts. Then, a hierarchical comparison strategy is employed: first, a preliminary single-dimensional feature matching is performed (e.g., comparing tool features or action features separately) to filter out candidate handicraft types; next, a multi-dimensional feature fusion comparison is performed on the candidate types to calculate the similarity value between the extracted features and the candidate type templates; finally, a similarity threshold is set. If the similarity value of a certain handicraft type reaches or exceeds the threshold, it is directly determined to be that handicraft type; if the threshold is not reached or multiple candidate types exist, a supplementary verification mechanism is activated to ensure the reliability of the determination result.

[0063] In this embodiment, the core is to perform similarity matching and verification between the extracted multi-dimensional handcraft-related feature information and the preset handcraft type feature library. Through single feature matching or multi-feature fusion comparison, the handcraft type determination result that best matches the feature information is output.

[0064] In the above solution, S111 provides basic visual data for craft type recognition by acquiring images of the craft area; S112 extracts features related to user operations, tools, and materials; and S113 determines the craft type by comparing it with a preset feature library. These three steps constitute an automated, contactless craft type recognition process. This process eliminates the need for additional cumbersome user operations and, relying on image feature extraction and comparison technology, can efficiently identify various craft types such as crochet and woodworking, improving the convenience and reliability of recognition. This lays a solid foundation for rapid adaptation to in-vehicle craft environments and optimizes the user experience from starting a craft activity to environmental adaptation.

[0065] In some embodiments, such as Figure 4 As shown, the configuration method for the in-vehicle manual environment also includes: S114. In response to a user performing a manual activity inside the vehicle, obtain the type of instruction actively input by the user.

[0066] Specifically, the system first triggers manual activity determination (such as unlocking the workbench, picking up tools, or continuous hand movements) through vehicle sensors or user actions. Then, a pre-set user interaction channel is automatically opened, allowing users to easily input manual commands. This interaction channel must be adapted to the ease of operation in the vehicle environment, covering mainstream methods such as visual selection, voice input, and quick operations, ensuring users can complete command input without complex procedures. During the data collection process, commands are initially validated (e.g., format validity and type validity), filtering out invalid inputs to ensure that the collected commands can be directly used for subsequent type determination, providing clear and effective input basis for the S115.

[0067] In this embodiment, the core is to provide the user with an interactive channel to actively input the type of manual activity after determining that the user has started the manual activity in the vehicle, and to collect the user's explicit type instructions as a supplementary method for manual activity type recognition.

[0068] S115. Determine the manual type based on the type instruction.

[0069] Specifically, the system first parses the collected valid type commands and extracts core type keywords; then it retrieves the preset manual type library (containing all manual types supported by the system) and matches the extracted keywords with the manual types in the library; if a keyword completely corresponds to a certain manual type, the manual type is directly confirmed; if there is a fuzzy match (such as a keyword being associated with multiple types), a supplementary verification mechanism is activated (such as combining the status of the workbench module and the unlocking status of the tool storage area to assist in confirmation); finally, a clear manual type determination result is output and synchronized to the subsequent vehicle environment subsystem configuration module.

[0070] In this embodiment, the core is to parse and match the valid type instructions actively input by the user, and directly output the corresponding manual type determination result.

[0071] In the above scheme, S114 provides users with an interactive channel to actively input the type of handcrafted items, and S115 determines the type of handcrafted items based on the type command input by the user. Together, they constitute a flexible supplementary method for handcrafted item type recognition. This approach can work in conjunction with automated image recognition to improve the accuracy of the recognition results, while also satisfying the preference of some users for active operation. It is particularly suitable for special handcrafted item types that are difficult for automated recognition to accurately determine. This combination enhances the flexibility, comprehensiveness, and autonomy of handcrafted item type detection, giving users more choices in the handcrafted item type recognition process and further improving the user-friendliness of the experience.

[0072] In some embodiments, such as Figure 5 As shown, the configuration method for the in-vehicle manual environment also includes: S14. Monitor the progress of the manual activity during the activity.

[0073] Specifically, firstly, based on the identified manual types, a standard process division framework for that type of manual is determined; then, through multi-dimensional monitoring methods, key behavioral data, tool usage data, and material change data in manual operations are collected; next, the collected data is analyzed to match the corresponding stages in the standard process framework and quantify the current progress; finally, the process status is updated in real time and synchronized to the subsequent process guidance module to ensure that the guidance information is synchronized with the current process.

[0074] In this embodiment, the core is to track the stage evolution of the hands-on activities in real time during the user's in-vehicle hands-on activities, clarify the current production stage, completion progress and key operation nodes, and provide dynamic basis for subsequent calling process guidance data and generating adaptation guidance information.

[0075] S15. Based on the manual type and process, call the process guidance database corresponding to the manual type.

[0076] The database pre-stores key points, common problems, and solutions for each stage of the manual operation.

[0077] Specifically, a categorized and graded process guidance database is first constructed, divided into sub-databases according to manual operation type, and each sub-database is further subdivided into data units according to process stage. Each data unit stores the core technical content of the corresponding stage, including key operation points (standardized procedures, key parameters), common problems (high-frequency faults, operational errors), and solutions (targeted adjustment methods, tool replacement suggestions). Then, the manual operation type and current process information output by S14 are received, and the corresponding sub-database and data unit in the database are located through dual indexes. Finally, the complete content of the data unit is retrieved and transmitted to the subsequent guidance information extraction module to ensure the relevance and completeness of the guidance data.

[0078] In this embodiment, the core is to use "manual type + current process" as a dual index to retrieve a preset dedicated process guidance database. This database stores targeted technical support content for different process stages of various manual operations, providing structured data support for subsequent extraction of guidance information.

[0079] S16. Based on the current process stage, extract suitable guidance content from the process guidance database and generate guidance information.

[0080] Specifically, firstly, based on the core tasks of the current process stage, the highest priority guidance content in the data units is selected (such as operation points as the core and common problems as supplements); then, the information is integrated according to the logical structure of operation steps, key precautions, common problem warnings, and solutions, and redundant data is eliminated; next, the level of detail of the information is adjusted according to the complexity of the craft type (complex crafts such as jewelry making are supplemented with detailed parameters, and simple crafts such as crochet are simplified in description); finally, standardized guidance information is generated to support subsequent adaptation and conversion according to different output methods, ensuring the clarity and practicality of information transmission.

[0081] In this embodiment, the core is to filter key information that is highly relevant to the current process stage from the retrieved process guidance data unit, and integrate it into standardized guidance information in a form that is easy for users to understand, so as to ensure that the guidance content addresses the technical needs of the current stage.

[0082] S17. Based on the characteristics of manual operation, select the appropriate output method to output guidance information.

[0083] Among them, the operational characteristics include at least one of the following: the amount of time the user's hands are occupied by manual operation, the degree of visual attention required, and the stability requirements of the operating environment.

[0084] Specifically, the core operational characteristics of current manual tasks are first analyzed, focusing on three key dimensions: hand usage (whether two-handed operation is required), visual attention requirements (whether high concentration on observing details is required), and operational environment stability requirements (whether it is sensitive to environmental interference). Then, multiple guidance information output methods are preset (visualization, voice, haptic feedback, etc.), clarifying the applicable scenarios for each method. Next, the operational characteristics are matched with the output methods (e.g., voice output is adapted for manual tasks requiring two hands, and AR visualization output is adapted for manual tasks with high visual requirements). Finally, guidance information is output according to the matched output method, while dynamically adjusting the output intensity based on the operational status (e.g., reducing voice volume when the operation is busy).

[0085] In this embodiment, the core is to analyze the operational characteristics of manual tasks (hands-occupancy, visual requirements, stability requirements, etc.), match the most suitable guidance information output method, avoid guidance information interfering with manual operations, and ensure efficient information transmission.

[0086] In the above solution, S14 monitors the progress of the manual activity in real time, clarifying the current production stage and progress; S15 calls the process guidance database corresponding to the manual type to provide structured support for the guidance information; S16 extracts guidance content adapted to the current process to ensure the guidance is targeted; S17 selects an appropriate output method based on the characteristics of manual operation to avoid interfering with the operation. This series of steps forms a complete intelligent assistance system for the manual process, which not only provides users with technical guidance tailored to the current production stage, effectively reducing the difficulty of manual operation, improving production efficiency and product quality, but also ensures the efficiency of guidance information transmission by adapting the output method to the use of both hands and visual needs, enriching the auxiliary support functions of in-vehicle manual activities, and making it smoother for users to carry out manual activities while traveling.

[0087] In some embodiments, such as Figure 6 As shown, the configuration method for the in-vehicle manual environment also includes: S18. Record the in-vehicle crafting environment and guidance information corresponding to the crafting type, and update the configuration information.

[0088] Specifically, the core data dimensions to be recorded are first clearly defined, including the configuration parameters of the vehicle environment subsystems corresponding to manual operation (workbench, lighting, storage, stability support, etc.), user records of manual adjustments to the configuration, and feedback on the use of guidance information (output method preferences, content detail requirements). Then, the data is categorized and stored in the system configuration information database according to the combined dimensions of "manual operation type + environmental conditions," and an index is created for easy retrieval later. Next, based on real-time user operations (such as adjusting lighting brightness, switching workbench angles, and changing guidance output methods), the corresponding configuration information is incrementally updated or overwritten to ensure that the configuration files remain synchronized with user habits. Finally, the completeness and validity of the updated data are verified to avoid redundant or erroneous data affecting subsequent adaptation effects.

[0089] In this embodiment, the core is to continuously store the in-vehicle manual environment configuration data and guidance information usage records that are strongly associated with manual types, dynamically iterate and update the system configuration information database, form a personalized configuration profile that fits the user's operating habits, and provide data support for rapid adaptation in the same scenario in the future.

[0090] S19. When the same manual type and environmental conditions are detected again, determine the vehicle manual environment parameters and guidance information output strategy based on the updated configuration information.

[0091] Specifically, the manual type detection module and the environment / vehicle status acquisition module first confirm whether the current manual type and environmental conditions (such as ambient light and vehicle status) are consistent with the index in the configuration information database. Then, based on the consistent index, the corresponding personalized configuration information (including in-vehicle environment subsystem parameters and guidance information output preferences) is retrieved. Next, the retrieved configuration parameters are fine-tuned and optimized in combination with the subtle differences in the current scene (such as ambient light intensity being slightly higher than historical records). Finally, the final in-vehicle manual environment parameters and guidance information output strategy are determined and synchronously distributed to each subsystem for execution, achieving rapid adaptation.

[0092] In this embodiment, the core is to directly retrieve the updated personalized configuration information when the same type of manual work and consistent environmental conditions are identified again, and quickly determine the adaptation parameters and guidance information output scheme for the in-vehicle manual work environment without requiring the user to make repeated adjustments.

[0093] In the above scheme, S18 records the in-vehicle manual work environment configuration and guidance information corresponding to the manual work type and updates the configuration library. S19 reuses the updated configuration information when the same manual work type and environmental conditions are detected again. Both achieve efficient reuse of personalized configurations, eliminating the need for repeated adjustments by the user and significantly shortening the adaptation time for subsequent in-vehicle manual work environments. Furthermore, the configuration information continuously aligns with the user's operating habits, enhancing ease of use and a sense of personalization. Simultaneously, this mechanism can continuously record and update configuration strategies to optimize subsequent environment adaptation and guidance information output, making them more in line with user expectations and enhancing the system's usability and user stickiness.

[0094] In some embodiments, such as Figure 7 As shown, the configuration method for the in-vehicle manual environment also includes: S20. Based on the current progress stage of the manual activity and the estimated remaining production time, combined with the vehicle journey time, generate and output progress planning suggestions.

[0095] Specifically, the process begins by using a manual progress monitoring module to obtain the current production stage and completion rate. This is combined with the standard time consumption for each stage of this type of manual work from the process guidance database to calculate the estimated remaining production time. Then, the vehicle's current location, destination distance, and estimated travel time are obtained through the in-vehicle navigation system. Next, the remaining manual production time is compared with the remaining travel time to analyze the time matching degree. Finally, based on the matching degree, targeted planning suggestions are generated, including "accelerate the progress of a certain stage," "prioritize the completion of core links," and "save for later continuation," ensuring that the suggestions align with the travel scenario and the patterns of manual production.

[0096] In this embodiment, the core is to dynamically integrate the real-time progress of the craft activity, the remaining production time, and the travel time to generate progress planning suggestions that fit the travel scenario, helping users to reasonably allocate their craft production time and avoid abandoning their work halfway due to the end of the journey.

[0097] S21. Output progress planning suggestions and health reminder information at preset time intervals.

[0098] Specifically, firstly, based on the complexity and intensity of manual tasks, reasonable time intervals are preset (e.g., shorter intervals for detailed manual tasks and longer intervals for regular manual tasks), allowing users to customize adjustments; then, within each interval period, the latest progress plan (e.g., whether the progress is lagging behind, whether the pace needs to be adjusted) and key health reminders (e.g., rest duration, protection recommendations) are integrated; next, an appropriate output method (voice, visualization, haptic, etc.) is selected based on the characteristics of the manual task to avoid interfering with the current operation; finally, user feedback is monitored after output (e.g., whether the operation is paused, whether the progress is adjusted), dynamically optimizing the interval and detail of subsequent reminders.

[0099] In this embodiment, the core is to periodically synchronize progress planning suggestions and health-related reminders according to a pre-set time frequency. This ensures that users can keep track of the matching between manual progress and travel time in real time, while avoiding health risks caused by prolonged manual operation.

[0100] S22. Recommend supplementary materials, alternative tools, and creative optimization directions suitable for the current process stage.

[0101] Specifically, the core tasks and technical requirements of the current manual process stage are analyzed first (e.g., the "crocheting pattern stage" requires specific yarn, and the "woodworking assembly stage" requires fixed tools); then potential needs are identified (e.g., material replenishment, tool replacement, and creative upgrade needs); next, the preset "material-tool-creativity" related database is retrieved to match the appropriate supplementary materials (same type or compatible materials), alternative tools (functionally equivalent and easy to use in the vehicle), and creative optimization directions (combined with travel scenarios or user style); finally, recommended content is integrated and output in a form that is easy for users to understand.

[0102] In this embodiment, the core idea is to recommend suitable supplementary materials, alternative tools, and creative upgrade directions based on the current stage of the craft activity, so as to solve unexpected problems such as insufficient materials and tool failures during the journey, while stimulating users' creative inspiration.

[0103] In the above solution, S20 combines the progress of the craft, remaining production time, and travel duration to generate progress planning suggestions, helping users allocate their time reasonably; S21 outputs progress suggestions and health reminders at preset intervals, balancing production efficiency and user health; S22 recommends supplementary materials, alternative tools, and creative directions for the current stage, addressing unexpected needs and inspiring creativity. These three functions optimize the in-car crafting experience from multiple dimensions, including time planning, health protection, resource support, and creative empowerment. They not only prevent projects from being abandoned halfway due to the end of the journey and reduce the health risks associated with prolonged handicraft operations, but also effectively address unexpected problems such as insufficient materials and tool malfunctions during the journey. At the same time, they inject inspiration into creation, making in-car crafting activities more complete, safer, more fun, and more creative.

[0104] In addition, such as Figure 8 As shown, Figure 8 This is a schematic diagram of a configuration device 800 for an in-vehicle manual environment provided in an embodiment of this disclosure. The device includes: Detection module 801 is used to respond to manual activities performed by a user inside the vehicle and detect the type of manual activity performed by the user. The determination module 802 is used to determine the target configuration strategy based on the manual type, environmental data of the vehicle's environment, and vehicle status data. The target configuration strategy is a configuration scheme for the vehicle's in-vehicle environment subsystem that is adapted to the manual type. Configuration module 803 is used to configure the vehicle's in-vehicle environment subsystem based on the target configuration strategy to form an in-vehicle manual environment adapted to manual types.

[0105] The above solution addresses the core issue of a lack of dedicated environmental support for various craft enthusiasts when engaging in in-vehicle craft activities. It responds to users' in-vehicle craft activities, identifies specific craft types, and formulates adaptive target configuration strategies based on vehicle environmental and status data. This is followed by collaborative configuration of the in-vehicle environment subsystem. The method allows the in-vehicle craft environment to meet the specific needs of various craft types, such as crochet, woodworking, jewelry making, pottery, fabric crafts, and electronic crafts. It dynamically adapts to real-time environmental changes and vehicle operating status, significantly improving the comfort, convenience, and safety of craft activities during travel. It also enriches the diversity of in-vehicle leisure scenarios, creating a dedicated and flexible in-vehicle activity space for craft enthusiasts. This supports the smooth execution and rapid switching between multiple craft types, further enhancing the creativity and enjoyment of long-distance travel and providing targeted care for special interest groups.

[0106] In one specific embodiment, the determining module 802 is further configured to: Based on the manual type, determine the initial configuration strategy of at least one vehicle environment subsystem. The initial configuration strategy is used to characterize the basic functional mode, adaptation parameters and structural planning of the vehicle environment subsystem adapted to the manual type. The initial configuration strategy is adjusted based on environmental data, vehicle status data, and manual requirements to obtain the target configuration strategy.

[0107] In one specific embodiment, the determining module 802 is further configured to: Based on environmental and vehicle status data, the deviation between the initial configuration strategy and the manual configuration requirements is determined. Based on the deviation, the initial configuration strategy is adjusted to determine the target configuration strategy.

[0108] In one specific embodiment, the detection module 801 is further configured to: In response to a user performing a manual activity inside the vehicle, acquire an image of the manual area inside the vehicle; Based on the manual area image, extract user operation information and / or tool and material information; The user operation information and / or tool and material information are compared with a preset manual type feature library, and the manual type is determined based on the comparison results.

[0109] In one specific embodiment, the detection module 801 is further configured to: In response to manual activities performed by users inside the vehicle, obtain the type of instructions actively input by the user; Determine the manual type based on the type instruction.

[0110] In one specific embodiment, the configuration device 800 for the in-vehicle manual environment also includes a monitoring module: The monitoring module is used to monitor the progress of manual activities during the process. Based on the manual type and process, the corresponding process guidance database is called. The database pre-stores the key points of operation, common problems and solutions for each stage of the manual type. Based on the current process stage, appropriate guidance content is extracted from the process guidance database to generate guidance information; Based on the characteristics of manual operation, an appropriate output method is selected to output guidance information. The operation characteristics include at least one of the following: how much time the user's hands are occupied by manual operation, the degree of visual attention required, and the stability requirements of the operating environment.

[0111] In one specific embodiment, the configuration device 800 for the in-vehicle manual environment also includes a recording module: The recording module is used to record the in-vehicle crafting environment and guidance information corresponding to the crafting type, and to update the configuration information. When the same manual type and environmental conditions are detected again, the vehicle manual environment parameters and guidance information output strategy are determined based on the updated configuration information.

[0112] In one specific embodiment, the configuration device 800 for the in-vehicle manual environment further includes a generation module: The generation module is used to generate and output progress planning suggestions based on the current progress stage of the manual activity and the estimated remaining production time, combined with the vehicle travel time. Output progress planning suggestions and health reminders at preset time intervals; Recommended supplementary materials, alternative tools, and creative optimization directions for the current stage of the process.

[0113] Regarding the apparatus in the above embodiments, the specific manner in which each unit performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0114] This embodiment also provides a vehicle, including an on-board controller. The on-board controller includes a memory, a processor, and a computer program stored in the memory. When the processor executes the computer program, it implements any of the optional on-board manual environment configuration methods described above.

[0115] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory. When the processor executes the computer program, it implements any of the optional in-vehicle manual environment configuration methods described above, thus achieving the same effect as the above implementation method.

[0116] The beneficial effects of the above embodiments can be referred to the beneficial effects of the corresponding methods provided above, and will not be repeated here.

[0117] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0118] In the embodiments provided in this disclosure, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0119] In the description of this disclosure, it should be understood that if the terms "upper", "lower", "front", "rear", "left" and "right" are used to indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the position or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure.

[0120] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0121] The above are merely embodiments of this disclosure and are not intended to limit the scope of this disclosure. Various modifications and variations can be made to this disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of the claims of this disclosure.

Claims

1. A method for configuring an in-vehicle manual environment, characterized in that, The method includes: In response to a user performing a manual activity inside the vehicle, the type of manual activity performed by the user is detected. Based on the manual type, the environmental data of the vehicle's environment, and the vehicle's status data, a target configuration strategy is determined. The target configuration strategy is a configuration scheme for adapting the vehicle's in-vehicle environment subsystem to the manual type. Based on the target configuration strategy, the vehicle's in-vehicle environment subsystem is configured to form an in-vehicle manual environment adapted to the manual type.

2. The configuration method according to claim 1, characterized in that, The determination of the target configuration strategy based on the manual type, the environmental data of the vehicle's environment, and the vehicle's status data includes: Based on the manual type, an initial configuration strategy for at least one in-vehicle environment subsystem is determined. The initial configuration strategy is used to characterize the basic functional modes, adaptation parameters, and structural planning of the in-vehicle environment subsystem to adapt to the manual type. The initial configuration strategy is adjusted based on the environmental data, the vehicle status data, and the manual type requirements to obtain the target configuration strategy.

3. The configuration method according to claim 2, characterized in that, The adjustment of the initial configuration strategy based on the environmental data, the vehicle status data, and the manual type requirements to obtain the target configuration strategy includes: Based on the environmental data and the vehicle status data, determine the deviation between the initial configuration strategy and the manual type requirements; Based on the deviation, the initial configuration strategy is adjusted to determine the target configuration strategy.

4. The configuration method according to claim 1, characterized in that, The response to a user performing a manual activity inside the vehicle, detecting the type of manual activity performed by the user, includes: In response to a user performing a manual activity inside the vehicle, acquire an image of the manual area inside the vehicle; Based on the image of the manual area, extract user operation information and / or tool and material information; The user operation information and / or the tool and material information are compared with a preset manual type feature library, and the manual type is determined based on the comparison results.

5. The configuration method according to claim 1, characterized in that, The response to a user performing a manual activity inside the vehicle, detecting the type of manual activity performed by the user, includes: In response to a user performing a manual activity inside the vehicle, the user actively inputs a type of instruction. The manual type is determined based on the type instruction.

6. The configuration method according to claim 1, characterized in that, The method further includes: During the manual activity, the progress of the manual activity is monitored; Based on the manual type and the process, the process guidance database corresponding to the manual type is invoked. The database pre-stores the key points of operation, common problems and solutions for each stage of the manual type. Based on the current process stage, appropriate guidance content is extracted from the process guidance database to generate guidance information; Based on the operational characteristics of the manual type, an appropriate output method is selected to output the guidance information. The operational characteristics include at least one of the following: the degree of hand occupation of the user, the degree of visual attention required, and the stability requirements of the operating environment.

7. The configuration method according to claim 1, characterized in that, The method further includes: Record the in-vehicle manual operation environment and guidance information corresponding to the manual operation type, and update the configuration information; When the same manual type and environmental conditions are detected again, the vehicle manual environment parameters and guidance information output strategy are determined based on the updated configuration information.

8. The configuration method according to claim 1, characterized in that, The method further includes: Based on the current stage of the manual activity and the estimated remaining production time, a progress planning suggestion is generated and output, taking into account the vehicle travel time. The progress planning suggestions and health reminders are output at preset time intervals. Recommended supplementary materials, alternative tools, and creative optimization directions for the current stage of the process.

9. A vehicle, comprising an on-board controller, the on-board controller including a memory, a processor, and a computer program stored in the memory, characterized in that, When the processor executes the computer program, it implements the configuration method of the in-vehicle manual environment as described in any one of claims 1 to 8.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory, characterized in that, When the processor executes the computer program, it implements the configuration method of the in-vehicle manual environment as described in any one of claims 1 to 8.

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