Air conditioner interactive design method and device with sendible temperature mode as core

Abstract

The invention discloses an air conditioner interactive design method and device taking a sendible temperature mode as a core, and solves the problems of complex operation and low energy efficiency of a traditional air conditioner by reconstructing a man-machine interaction level and a control strategy. The system combines four body feelings of dryness, comfort, moist and coolness as a first-level option, and a user can reach an ideal environment by rotating a special knob. A parameter adjusting knob is dynamically coupled with a somatosensory mode; and after any parameter is adjusted, the system is automatically switched to a priority control mode and adapts to other parameters according to an optimal strategy. Hardware design adopts a differentiated size knob and a backlight feedback mechanism, and the panel use learning cost is low. Voice instruction mapping (such as starting a wetting mode) and intelligent home linkage (such as leaving home automatic energy saving) are supported. According to the method, the cooling speed in the hotel scene is increased, the energy consumption in the northern winter wet mode is reduced, and an innovative scheme integrating user experience and energy efficiency optimization is provided for the air conditioner industry.

Description

Technical Field

[0001] The present invention belongs to the technical field of HVAC control and human-computer interaction, and specifically relates to a multimodal air conditioning control method and device with a body-sensing temperature mode as the core. By reconstructing the user interaction logic and equipment control strategy, dynamic adjustment of temperature and humidity that is more in line with human perception is achieved, and it is suitable for home, commercial and smart building scenarios. Background Art

[0002] Traditional air conditioning control systems are dominated by precise temperature settings, which have two major defects: the first defect is that the interaction is not intuitive: users need to adjust parameters such as temperature, humidity, wind speed, etc. separately, which is difficult to match the physical needs; the second defect is energy efficiency waste: in order to maintain a fixed temperature, the air conditioner is frequently started and stopped, and the actual physical comfort is reduced. Although the existing improvement scheme (such as the PMV-PPD model) introduces physical parameters, it does not solve the problem of coupling the complexity of the interactive interface with the control strategy. Summary of the invention

[0003] The present invention discloses an air conditioner interaction design method and device with the somatosensory temperature mode as the core, which solves the problems of complex operation and low energy efficiency of traditional air conditioners by reconstructing the human-computer interaction level and control strategy. The system uses four somatosensory combinations of dry, comfortable, moist and cool as the first-level options, and users can reach the ideal environment by rotating the dedicated knob.

[0004] The hardware device design of the present invention includes a control panel, a remote controller and an APP interface.

[0005] control Panel( Figure 1 ) mainly includes somatosensory mode knob and parameter knob group; 1) Motion sensing mode knob: 35mm in diameter, with four motion sensing icons etched on the surface (dry / comfortable / wet / cool); built-in Hall sensor, rotation positioning accuracy ±1°; 2) Parameter knob group: temperature knob (18-30℃), humidity knob (30-65% RH), wind speed knob (1-5 gears); using OLED display (resolution 128×64) to display the difference between the current value and the target value in real time.

[0006] Remote Control ( Figure 2 ) Layout optimization and scene memory are adopted. Layout optimization: the somatosensory mode button occupies the top 1 / 3 area, and the touch feedback force is 0.3N; scene memory: long press the somatosensory button for 3 seconds to save the current parameter combination as a custom mode.

[0007] APP interface ( Figure 3 ) Use a virtual knob group: after sliding to select the somatosensory mode, a floating window pops up to display the related parameters; implement intelligent recommendation: push the somatosensory mode according to the geographical location and season (such as the default "humid" in winter).

[0008] Control method for air conditioner interaction device with perceived temperature mode as the core ( Figure 4 ) includes three points: 1) Activation of perceived mode: The user rotates the perceived knob to the target mode (such as "comfortable"), and the air conditioner operates according to the preset combination (26°C + 50% RH); the wind speed is automatically matched to the second gear (medium and low speed); 2) Parameter fine-tuning stage: If the user adjusts the temperature to 24°C, the system switches to the temperature priority mode, and the humidity is automatically adjusted according to the condensation dehumidification capacity; the wind speed remains at the second gear. If the user further increases the wind speed to the fourth gear, the humidity may fluctuate due to the increase in the air supply volume; 3) Conflict resolution mechanism: When multiple parameters are manually adjusted, they are executed according to the priority of "temperature > humidity > wind speed"; if the perceived mode conflicts with the manually adjusted parameter combination, the panel flashes to prompt the user to confirm the override.

[0009] The core innovation of the present invention is reflected in three aspects: reconstruction of interaction logic, innovation in hardware design, and optimization of control strategies; 1) Reconstruction of interaction logic includes the perceived priority mode and the parameter post-adjustment mechanism. Perceived priority mode: Four preset perceived temperature and humidity combinations of dry, comfortable, humid, and cool are used as the primary interaction options (default display), allowing the user to reach the ideal environment with one key; Parameter post-adjustment mechanism: After the perceived mode is activated, fine-tuning of temperature, humidity, and wind speed is allowed, and the binding of the perceived mode is automatically released when any parameter is adjusted; 2) Innovation in hardware design involves the knob integrated panel and the backlight feedback system. Knob integrated panel: Four groups of digital knobs are used (perceived mode + temperature + humidity + wind speed), and the diameter of the perceived knob is 20% larger than the others to highlight the priority; Backlight feedback system: When the perceived mode is activated, the backlights of the other knobs switch to the green adjustable state, and an orange warning is displayed when the parameter deviates from the perceived preset value; 3) Optimization of control strategies includes the dynamic decoupling algorithm and voice keyword mapping. Dynamic decoupling algorithm: When the user adjusts a certain parameter, the air conditioner takes this parameter as the priority, and the other parameters are automatically adapted according to the optimal energy consumption strategy; Voice keyword mapping: Define command words such as "humid mode" and "wind speed third gear", which are equivalent to the operations of the physical knobs. Description of the drawings

[0010] Figure 1: Control Panel Layout Diagram (showing the physical arrangement and size ratio of four groups of knobs). This diagram demonstrates the innovation in the physical layout of the control panel: The body sensing mode knob is designed with a differentiated size (diameter 35mm vs. 25mm for others) to occupy the visual focus, and the surface is etched with abstract icons of four body sensing modes (dry - reduced water droplets, wet - wavy lines, etc.). The knob substrate is built - in with a pressure - sensing layer, and pressing down 0.5mm can switch the parameter locking state (to prevent accidental touch). The backlight system uses a three - color LED matrix, projecting a blue halo when the body sensing mode is activated, and showing an orange pulsating warning when the parameter deviates from the preset value. Measured data shows that this layout improves the operation accuracy of first - time users, especially suitable for elderly users to quickly locate the core functions.

[0011] Figure 2 : Remote Control Interaction Interface State Machine Diagram (switching logic between body sensing mode and parameter mode). This diagram reveals the innovation in the state transition logic of the remote control: One - key access to body sensing mode: Short - pressing the body sensing key directly enters the preset mode selection interface, skipping the traditional three - level menu; Stepless knob mapping: When rotating the temperature knob, the humidity parameter is automatically adjusted synchronously at a ratio of ±3% RH per °C (e.g., 24°C → 45% RH); Scenario memory function: Long - pressing saves the current parameter combination (e.g., "late - night reading mode": 24°C + 50% RH + 2 - speed), and 10 groups of custom configurations can be stored. The remote control adopts a hybrid design of capacitive touch + physical knob, and can still be accurately operated in a humid environment (such as the bathroom).

[0012] Figure 3 : APP Virtual Knob Interaction Flowchart (including intelligent recommendation algorithm branch). The APP interface reconstructs the interaction path through an intelligent recommendation algorithm: Geofencing trigger: When entering a range of 500 meters from the residence, "home mode" is automatically pushed (recommended moist in winter and cool in summer); Parameter coupling display: After selecting the body sensing mode, the preset values and real - time values of temperature / humidity / wind speed are displayed side - by - side in a floating window, and a red exclamation mark is marked when the difference exceeds ±10%; Energy consumption visualization: When adjusting parameters, a 24 - hour energy consumption prediction curve (accuracy ±5%) is dynamically generated to help users balance comfort and energy conservation. Using the incremental synchronization protocol, the APP and the device exchange difference data every 30 seconds (not full - volume transmission), and can still operate offline and automatically resume synchronization when the network is interrupted.

[0013] Figure 4: Control strategy logic diagram (dynamic coupling relationship between somatosensory mode and parameter mode). The core innovation of this control strategy lies in the dynamic decoupling algorithm: Feature 1 is that the somatosensory mode is prioritized: when activated, the temperature and humidity combination is locked, and the wind speed is automatically calculated according to the room volume (formula: gear position = √(area) / 3, rounded); Feature 2 is manual intervention trigger mode switching: when the user adjusts any parameter, the system immediately decouples the somatosensory binding and re-optimizes other parameters according to the new priority (temperature>humidity>wind speed); Feature 3 is the hysteresis compensation mechanism: after the temperature is adjusted, the humidity control is delayed for 30 seconds to start to avoid system oscillation. This algorithm improves the energy efficiency ratio (EER) of the air conditioning system, and significantly improves the cooling speed from 30℃→22℃ in hotel rooms.

[0014] Figure 5 : Voice interaction protocol architecture diagram (keyword mapping and command priority). The voice interaction system implements multi-level permission control: The first point is voiceprint recognition: after registering the user's voiceprint characteristics (MFCC coefficient), unauthorized personnel commands are rejected; the second point is the command mapping library: four sets of somatosensory modes and parameter adjustment keywords are preset (such as "increase two degrees" corresponds to +2℃), supporting dialect adaptation; the third point is the security interception mechanism: when a conflicting command is detected (such as "require strong heating when opening the window"), the secondary confirmation process is started. Local + cloud hybrid processing is adopted, basic commands (mode switching) are processed on the device side (response time <200ms), and complex queries (such as "power consumption this month") are transferred to the cloud for analysis.

[0015] Figure 6 : Timing diagram of temperature and humidity control in winter humid mode. This timing diagram reveals the staged control strategy of the humid mode: the first step is the rapid heating period: the air conditioner runs at maximum power (3500W) for 1 hour, with a target temperature of 24℃ (typical demand in northern winter); the second step is the gradient humidification period: after the temperature reaches the standard, the humidifier is started and increased to 65% at a rate of +10% RH per hour to avoid condensation on the glass; the third step is the steady-state energy-saving period: the PID algorithm is used to dynamically adjust the compressor frequency (800-1200Hz) to make the humidity fluctuation ≤±3% RH.

[0016] Example 1: Improved design of control panel for air conditioner manufacturers. Demand background: Household air conditioner manufacturers need to improve user intuitiveness and reduce after-sales complaint rates. Hardware improvements: The panel uses four sets of knobs (diameter ratio 3:2:2:2), and the somatosensory knobs have built-in RGB LED halo; the knob substrate is equipped with a pressure sensor, and pressing the knob can switch the parameter lock / unlock state; Interaction process: When the device is turned on, the somatosensory mode knob is highlighted (blue backlight) by default; when it is turned to the "cool" mode (20℃+30% RH), the wind speed is automatically set to level 3; if the user turns the temperature knob clockwise to 22℃, the somatosensory mode halo goes out, the humidity is automatically adjusted to 40% RH (energy-saving strategy), and the wind speed is maintained at level 3; Beneficial effects: The learning cost for users to operate the air conditioner control panel is significantly reduced; the after-sales consultation volume decreases.

[0017] Embodiment 2: Quick temperature control application in hotel rooms. Scenario characteristics: In summer, when guests return to their rooms, they need to quickly cool down while avoiding excessive dryness. Equipment configuration: The guest room air conditioner panel is pre-set with a "rapid cool" body sensation mode (18°C + 40% RH, wind speed at level 5); a "home mode" button (linked to the access control system) is added to the bedside remote control; Operation process: The moment the guest swipes the card to enter the room, the air conditioner automatically starts the "comfortable" mode (26°C + 50% RH); when the guest presses the "rapid cool" button on the remote control, the room temperature drops to 20°C within 10 minutes, and the humidity drops synchronously; if the guest rotates the humidity knob to 45%, the system switches to the humidity priority mode and the temperature rises to 22°C; Beneficial effects: The cooling speed is significantly increased (it only takes 8 minutes to go from 30°C to 22°C); the humidity fluctuation range is ±5% RH (better than the traditional system's ±10% RH).

[0018] Embodiment 3: Smart home winter humid mode. Scenario characteristics: In winter in the north, the indoor environment is dry (RH < 30%), and it is necessary to simulate a humid coastal environment. System configuration: The central air conditioner is connected to the smart home platform and supports triggering by geographical fence; the humidifier is bound to the air conditioner controller through the "fusion" button; Workflow: When the user is 5 kilometers away from home, the system starts preheating: the air conditioner heats up to 24°C in the "humid" mode, with a humidity target of 65% RH; the humidifier starts 2 hours in advance and raises the humidity from 20% to 60%; when the user enters the home: the air conditioner switches to the "comfortable" mode (24°C + 50% RH), and the wind speed drops to level 2; if PM2.5 > 50, the internal circulation is automatically enabled and the humidifier is turned off; Beneficial effects: The user feels comfortable immediately upon entering the room; the overall energy consumption is lower than that in the constant temperature mode.

Claims

1. An air conditioning interactive design method and device based on a body temperature mode, characterized in that Include: 1) Four combinations of temperature and humidity (dry / comfortable / humid / cool) are used as first-level interactive options; 2) The parameter adjustment knob and the somatosensory mode are mutually exclusive. Adjusting any parameter will release the somatosensory binding. 3) Voice commands are mapped equivalent to physical knob operations.

2. The device according to claim 1, characterized in that Include: 1) There are four sets of digital knobs on the control panel, and the somatosensory knob is significantly larger than the others; 2) Knob backlight system, used for mode status prompts and parameter deviation warnings; 3) Support smart home linkage interface triggered by geo-fence.

3. The control strategy according to claim 1, characterized in that: 1) The priority of parameters is temperature > humidity > wind speed; 2) When the body sensing mode is activated, the air conditioner operates according to the preset temperature and humidity combination, and the wind speed is adjusted adaptively; 3) After the user manually adjusts the parameters, the system recalculates the optimal solution based on the parameters.

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