Interaction control method for intelligent air conditioner and mobile terminal

Abstract

The invention relates to the technical field of intelligent interaction, and provides an interaction control method of an intelligent air conditioner and a mobile terminal, and the interaction control method of the intelligent air conditioner and the mobile terminal comprises the steps that the air conditioner monitors indoor environment parameters in real time, and the environment parameters comprise humidity, temperature and image data; when it is monitored that the indoor humidity exceeds the threshold value, the air conditioner sends a first regulation and control instruction to the mobile terminal, and the sensitivity parameter of touch response of the mobile terminal is adjusted; based on the environment parameters and indoor comfort setting, the air conditioner generates optimal temperature zone information and pushes the optimal temperature zone information to the mobile terminal, and receives an optimal temperature zone regulation and control instruction fed back by a user through the mobile terminal; the air conditioner sends a second regulation and control instruction to the mobile terminal to trigger the mobile terminal to forcibly display a preset emergency information interface; and according to the user behavior habit data, the air conditioner performance parameters and the indoor and outdoor environment variables, the mobile terminal sends a third regulation and control instruction to the air conditioner to control the start-stop time sequence of the air conditioner.

Description

Technical Field

[0001] The present invention relates to the field of intelligent interaction technology, and in particular to an interactive control method for an intelligent air conditioner and a mobile terminal. Background Art

[0002] In existing technologies, interactive control methods for intelligent air conditioners and mobile terminals primarily rely on basic communication connections to implement simple remote control functions, such as adjusting temperature and turning the air conditioner on and off. However, these methods typically only support limited environmental monitoring, mostly focusing solely on temperature parameters, while insufficiently monitoring and utilizing other key environmental factors such as humidity and image data. Furthermore, existing technologies lack the ability to adjust the touch response of mobile terminals, failing to dynamically optimize touch sensitivity based on changes in ambient humidity. This results in a poor user experience in high-humidity environments, prone to accidental touches or insensitive operation. When faced with sudden risk events, traditional methods lack an effective emergency response mechanism and are unable to promptly push important information to users or trigger the corresponding emergency operation interface, potentially delaying the user's handling of the emergency. Furthermore, existing technologies often neglect in-depth analysis of user behavior habits and the satisfaction of personalized needs, making it difficult to intelligently adjust the air conditioner's operating parameters based on user usage habits and environmental variables, thereby achieving more personalized and energy-saving control effects. Summary of the Invention

[0003] In response to the above-mentioned defects, the purpose of the present invention is to propose an interactive control method for an intelligent air conditioner and a mobile terminal, which aims to establish a two-way communication connection between the air conditioner and the mobile terminal through real-time monitoring of environmental parameters, intelligently adjust the touch response of the mobile terminal, accurately push the optimal temperature zone information, timely display emergency information, and intelligently control the start and stop timing of the air conditioner, so as to realize intelligent and optimized interactive control and improve the convenience and comfort of user use.

[0004] To achieve this object, the present invention adopts the following technical solutions:

[0005] A method for interactive control of an intelligent air conditioner and a mobile terminal, the method comprising:

[0006] The air conditioner monitors indoor environmental parameters in real time, including humidity, temperature and image data;

[0007] Establishing a communication connection between the air conditioner and the mobile terminal, and when the air conditioner detects that the indoor humidity exceeds a threshold, sending a first control instruction to the mobile terminal to adjust a sensitivity parameter of a touch response of the mobile terminal;

[0008] Based on environmental parameters and indoor comfort settings, the air conditioner generates optimal temperature zone information and pushes it to the mobile terminal, and receives optimal temperature zone control instructions from the user through the mobile terminal;

[0009] In response to the sudden risk event identified by the air conditioner, the air conditioner sends a second control instruction to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface;

[0010] Based on user behavior habit data, air conditioning performance parameters and indoor and outdoor environmental variables, the mobile terminal sends a third control instruction to the air conditioner to control the start and stop timing of the air conditioner.

[0011] Preferably, when the indoor humidity is detected to be above a threshold, the air conditioner sends a first control instruction to the mobile terminal, and adjusting the sensitivity parameter of the touch response of the mobile terminal includes:

[0012] The air conditioner generates a first control instruction including a humidity event type, a touch sensitivity adjustment parameter range, and an effective duration according to the humidity change characteristics, and transmits the first control instruction to the mobile terminal via a communication connection;

[0013] The humidity event types include a continuous high humidity state, a sudden humidity peak state, and a gradient rising humidity state.

[0014] Preferably, when the indoor humidity is detected to be above a threshold, the air conditioner sends a first control instruction to the mobile terminal, and adjusting the sensitivity parameter of the touch response of the mobile terminal includes:

[0015] The mobile terminal responds to the first control instruction and performs the following operations:

[0016] When the humidity event type is a continuous high humidity state, calling the touch service interface to increase the capacitance signal determination benchmark for touch recognition to the median interval of the touch sensitivity adjustment parameter range;

[0017] When the humidity event type is a sudden humidity peak state, the touch service interface is called to increase the capacitance signal determination benchmark to the upper limit of the touch sensitivity adjustment parameter range, lock the local response area of the screen, and generate an environmental adaptation status prompt mark on the mobile terminal interface;

[0018] When the humidity event type is a gradient rising wet state, the capacitance signal determination benchmark is adjusted by dynamic interpolation according to the real-time humidity gradient ratio, and a downward adjustment operation is triggered;

[0019] A countdown control signal is generated based on the effective time, and after the effective time is reached, a system interface is called to reset all touch parameters to default values.

[0020] Preferably, based on environmental parameters and indoor comfort settings, the air conditioner generates optimal temperature zone information and pushes it to the mobile terminal, and receives optimal temperature zone control instructions fed back by the user through the mobile terminal, including:

[0021] The air conditioner performs the following operations:

[0022] Analyze the indoor temperature data to obtain the indoor temperature distribution, and analyze the indoor image data to obtain the user's indoor location coordinates;

[0023] Based on the indoor temperature distribution and the user's location coordinates, generating spatial coordinate parameters of several optimal temperature zones;

[0024] Sending temperature zone information to the mobile terminal. The temperature zone information includes the functional area name of the optimal temperature zone and the optimal temperature zone comfort evaluation result based on temperature gradient analysis. The functional area name of the optimal temperature zone is obtained based on indoor furniture recognition results and past user behavior.

[0025] generating a visual map including the optimal temperature zone and indoor temperature distribution, and transmitting the visual map to a mobile terminal;

[0026] Among them, the optimal temperature zone is determined based on the preset indoor comfortable temperature range and temperature zone location.

[0027] Preferably, after the mobile terminal receives the temperature zone information, the mobile terminal performs the following operations:

[0028] Rendering and displaying the visual map, and displaying the name of the functional area to which the optimal temperature zone belongs and the comfort evaluation result of the optimal temperature zone;

[0029] Obtain the user's location coordinates and calculate the spatial straight-line distance between the user's location coordinates and the geometric center of the optimal temperature zone;

[0030] When the spatial straight-line distance is greater than the preset distance threshold:

[0031] Displaying several directional arrows pointing to all optimal temperature zones in a visual map, and generating numerical prompt information of the distance between the user's current location and the optimal temperature zone;

[0032] Start the distance monitoring countdown. If it is detected that the user has not moved within a certain period of time, determine whether the user is willing to move:

[0033] If the user chooses automatic adjustment, the optimal temperature zone adjustment instruction is sent to the air conditioner, and the air conditioner adjusts the air outlet temperature and wind speed according to the user's current area until the optimal temperature zone standard is reached;

[0034] If the user chooses to go to the optimal temperature zone by himself, a prompt tone will be played and the optimal temperature zone logo will be displayed when the user enters any optimal temperature zone.

[0035] Preferably, the generation of the functional area name of the optimal temperature zone includes:

[0036] Identify surrounding furniture type features and human behavior and posture features based on image data;

[0037] If the sofa / coffee table furniture feature is recognized and there is a human body sitting posture feature within the first range, the functional area name within the first range is set as the rest area;

[0038] If the dining table / chair furniture features are recognized and there are human dining action features within the second range, the functional area name within the second range is set as the dining area;

[0039] If the bed / mattress furniture feature is recognized and there are human lying posture behavior features within the third range, the functional area name within the third range is set as the sleeping area.

[0040] Preferably, in response to the sudden risk event identified by the air conditioner, the air conditioner sends a second control instruction to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface, including:

[0041] Real-time analysis of flame spectrum characteristics and smoke diffusion patterns in image data, and simultaneous monitoring of temperature rise changes per unit time in local space;

[0042] When the flame spectrum characteristics exceed the safety threshold and the temperature rise rate exceeds the preset critical range, it is marked as a fire event;

[0043] Generate heat source coordinates and a second control instruction, and send them to the mobile terminal;

[0044] The second control instruction includes: causing the mobile terminal operating system to interrupt the current process and execute a system-level response:

[0045] Bypassing the screen lock state, the mobile terminal display screen is forcibly activated, the indoor passage structure model pre-stored in the local database is retrieved, and the preset escape route map is superimposed on the top of the screen;

[0046] Based on the spatial relationship between the user's real-time positioning coordinates and the fire source location, the optimal obstacle avoidance path is calculated and a direction arrow is rendered in the interface. The arrow color changes gradually with the path risk level.

[0047] The spatial coordinates of the fire extinguisher and first aid kit are calibrated in the building model, and a polar coordinate orientation prompt box is generated with the user's position as the origin.

[0048] Preferably, the emergency information interface includes an escape route map pre-drawn by the air conditioner, and the drawing of the escape route map includes:

[0049] During the communication connection between the air conditioner and the mobile terminal, continuously monitoring the signal strength of the communication connection and recording the corresponding position coordinates;

[0050] When the signal strength drops to a first signal threshold, the current location is marked as the starting point of the escape route;

[0051] When the signal strength further drops below the second signal threshold, the signal disappearance monitoring countdown is started;

[0052] If the signal strength returns to zero before the countdown ends and continues to reach the time threshold, the coordinates of the signal vanishing point are marked as a candidate escape exit point;

[0053] generating an unobstructed path from the starting point of the escape path to the candidate escape exit point according to the signal connection path;

[0054] When a cumulative number of signal loss events generated by several mobile terminals in the same area are obtained, the candidate escape exit point is upgraded to a formal escape exit mark.

[0055] Preferably, based on the user behavior habit data, the air conditioner performance parameters, and the indoor and outdoor environmental variables, the mobile terminal sends a third control instruction to the air conditioner to control the start and stop sequence of the air conditioner, including:

[0056] The mobile terminal obtains user behavior habit data, including alarm triggering time and historical leaving time;

[0057] The air conditioner provides real-time feedback of air conditioning performance parameters and indoor and outdoor environmental variables to the mobile terminal;

[0058] The mobile terminal establishes a benchmark model for morning activity duration based on user behavior data. When the predicted time to go out is reached:

[0059] The mobile terminal analyzes the air conditioner's performance parameters to determine the current rate of decline in indoor cooling efficiency. Based on a benchmark model of morning activity duration, the current rate of decline in indoor cooling efficiency, and indoor and outdoor environmental variables, it calculates the optimal shutdown time to meet a preset critical comfort range.

[0060] The mobile terminal generates a third control instruction at the optimal shutdown time point and sends it to the air conditioner;

[0061] If the mobile terminal detects through positioning that the user's actual time of leaving home is earlier than the optimal shutdown time, it immediately sends an emergency shutdown command to the air conditioner and updates the morning activity duration benchmark model based on the actual time of leaving home.

[0062] Preferably, the morning activity duration benchmark model satisfies the relationship:

[0063]

[0064] Where, ΔT base Indicates the duration of morning activities, Indicates the actual time of leaving home on the i-th day, represents the actual time of leaving the house on the i-th day, and N represents the number of days of valid historical data.

[0065] One of the above technical solutions has the following advantages or beneficial effects:

[0066] The present invention realizes comprehensive and real-time control of the indoor environment through the measure of the air conditioner monitoring the indoor environmental parameters in real time, provides a data basis for subsequent precise control, and effectively improves the comfort and safety of the indoor environment. By establishing a communication connection between the air conditioner and the mobile terminal, and sending a first control instruction to adjust the touch response sensitivity parameter of the mobile terminal when the indoor humidity exceeds a threshold, the intelligent linkage between the air conditioner and the mobile terminal is realized, the user's operating experience in a high humidity environment is improved, false touches are reduced, and the practicality of the equipment is improved. By generating optimal temperature zone information based on environmental parameters and indoor comfort settings and pushing it to the mobile terminal, and receiving the optimal temperature zone control instruction feedback from the user, personalized temperature zone control is realized, the comfort requirements of different users are met, and user satisfaction is improved. By responding to the sudden risk event identified by the air conditioner, sending a second control instruction to trigger the mobile terminal to forcibly display the preset emergency information interface, a rapid emergency response is achieved, ensuring that users can obtain key information in a timely manner in sudden risk events and protect their personal safety. By sending a third control instruction from the mobile terminal to the air conditioner to control the start and stop timing of the air conditioner based on user behavior habit data, air conditioner performance parameters and indoor and outdoor environmental variables, intelligent and personalized air conditioner start and stop control can be achieved, energy utilization can be optimized, and user life convenience can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0068] Figure 1 The present invention provides a flowchart of an interactive control method between an intelligent air conditioner and a mobile terminal. DETAILED DESCRIPTION

[0069] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0070] In the present invention, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0071] An interactive control method between an intelligent air conditioner and a mobile terminal, such as Figure 1 As shown, in a preferred embodiment of the present invention, the interactive control method between the intelligent air conditioner and the mobile terminal includes the following steps:

[0072] S1: The air conditioner monitors indoor environmental parameters in real time, including humidity, temperature and image data;

[0073] Among them, the air conditioner uses various built-in sensors to monitor indoor environmental parameters. Humidity is monitored by a humidity sensor, which measures the water vapor content in the air based on capacitive or resistive principles; temperature relies on a temperature sensor, the most common of which is a thermistor, which uses the characteristic that resistance changes with temperature to measure; image data is collected with the help of a camera, and a CMOS image sensor can be used, which converts optical signals into electrical signals to obtain images of indoor scenes.

[0074] In one embodiment, the air conditioner, acting as the main controller, activates the monitoring function. The humidity sensor measures the indoor humidity at a preset frequency (e.g., once per minute). The temperature sensor measures the indoor temperature in real time or periodically (e.g., every 30 seconds). The camera captures indoor images at regular intervals (e.g., every 30 seconds), providing a comprehensive and dynamic understanding of the indoor environmental conditions. For example, when a user is indoors, the camera can capture information such as their movements and location, which, together with the temperature and humidity data, reflects the overall indoor environment.

[0075] S2: establishing a communication connection between the air conditioner and the mobile terminal. When the air conditioner detects that the indoor humidity exceeds a threshold, the air conditioner sends a first control instruction to the mobile terminal to adjust a touch response sensitivity parameter of the mobile terminal.

[0076] The communication connection can be based on wireless communication technologies such as Wi-Fi, Bluetooth, or infrared, enabling data exchange between the air conditioner and the mobile terminal. The first control instruction is a specific data signal generated by the air conditioner to change the touch response sensitivity of the mobile terminal. The touch response sensitivity parameter refers to the speed at which the mobile terminal screen responds to user touch operations and can be measured by indicators such as the touch screen sampling rate.

[0077] In one embodiment, the communication connection between the air conditioner and the mobile terminal is established in various ways. For example, the user searches through the smart home APP on the mobile terminal, searches for and connects to the air conditioner in the same local area network, uses Wi-Fi technology to complete the pairing, and establishes a TCP / IP connection. After that, the air conditioner continuously monitors the humidity. Once the humidity exceeds the threshold (for example, exceeds the pre-set 70%), it encapsulates the first control instruction according to the communication protocol and sends it to the mobile terminal through the established communication link. After the mobile terminal receives the instruction, its operating system adjusts the relevant parameters of the touch screen driver according to the instruction content and changes the touch response sensitivity. For example, the sampling rate is reduced to make the touch operation response relatively slow, avoiding accidental touches by users in situations where high humidity may cause sweating hands.

[0078] For example, during the rainy season, indoor humidity can rise sharply to 80%. Upon detecting this, the air conditioner sends a first control instruction to the user's phone via Wi-Fi. The user's phone's original touch response sensitivity parameter is set to high sensitivity (sampling rate 120Hz). Upon receiving the instruction, this parameter is adjusted to medium sensitivity (sampling rate 60Hz), reducing the possibility of accidental operation caused by slipping hands due to high humidity.

[0079] S3: Based on environmental parameters and indoor comfort settings, the air conditioner generates optimal temperature zone information and pushes it to the mobile terminal, and receives optimal temperature zone control instructions from the user via the mobile terminal;

[0080] Optimal temperature zone information is the most suitable temperature range calculated by the air conditioner based on current indoor environmental parameters (such as temperature, humidity, and occupant activity status derived from image data analysis) and preset comfort values (e.g., a comfortable temperature range based on human physiology and thermal comfort theory, taking into account differences in comfort zones for people of different ages and health conditions). Optimal temperature zone control instructions are generated and sent to the air conditioner by the mobile terminal after the user manipulates the air conditioner's temperature, fan speed, and mode.

[0081] Specifically, after the air conditioner obtains the environmental parameters, it inputs them into the built-in comfort calculation model. For example, the model integrates the current temperature, humidity, the number of indoor occupants identified by images, and the intensity of activity (such as sitting still, moving, etc.), and uses a specific algorithm (such as a neural network algorithm trained with a large amount of indoor environment and human comfort feedback data) to calculate the optimal temperature zone. Subsequently, with the help of the communication module, this temperature zone information is pushed to the user through the mobile terminal APP in the form of text, charts, etc. After viewing, if the user needs to adjust it, such as feeling that the lower limit of the temperature zone is too low, through the APP interface, such as sliding the temperature adjustment bar, the mobile terminal generates the optimal temperature zone control instruction containing the temperature, operating mode modification, etc., and sends it back to the air conditioner. For example, the original optimal temperature zone push is 22℃-24℃, automatic mode, and the user changes it to 23℃-25℃, silent mode, forming a control instruction sent.

[0082] S4: In response to the sudden risk event identified by the air conditioner, the air conditioner sends a second control instruction to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface;

[0083] Sudden risk events include indoor fires (determined by monitoring smoke concentration through the air conditioner's smoke sensor), sudden illness of personnel (using cameras to monitor abnormal posture changes such as people falling to the ground combined with data from physiological monitoring equipment, if such equipment is connected), gas leaks (relying on gas sensors to detect gas concentration), and other emergency situations that may endanger personal safety and property. The second control instruction is a data instruction with a high priority and a specific identifier, which is used to notify the mobile terminal to enter the emergency state. The emergency information interface is a dedicated interface that is pre-set on the mobile terminal and contains emergency response guidelines (such as fire escape routes, first aid methods text and diagrams), emergency contact dialing buttons, a brief description of the risk event, and other content.

[0084] For example, in air conditioners, various sensors monitor corresponding risk factors in real time. For example, in the case of fire, smoke sensors, based on the principle of light scattering, determine that a fire risk event has occurred when smoke concentration exceeds a safety threshold (e.g., a set threshold of 0.1dB / m). At this point, the air conditioner immediately generates a second control command and sends it to the mobile terminal via a previously established communication connection (such as 4G IoT communication, which automatically switches if Wi-Fi is disconnected) according to the communication protocol. Upon receipt by the mobile terminal, the operating system recognizes the high priority of the command, interrupts other currently running applications (such as games and video playback), invokes the relevant program for the emergency information interface, and forces the emergency information interface to display full-screen, ensuring that users receive emergency guidance immediately. For example, when the interface pops up, it displays a text warning: "Indoor smoke concentration is too high, suspected fire!", accompanied by a simple floor plan of the room with the location of the emergency exit and escape route arrows.

[0085] S5: Based on the user behavior habit data, air conditioning performance parameters and indoor and outdoor environmental variables, the mobile terminal sends a third control instruction to the air conditioner to control the start and stop timing of the air conditioner.

[0086] User behavior habit data includes the time pattern of users' daily use of air conditioners (such as turning on the air conditioner heating mode at 7-8 o'clock after getting up every day and turning it off at around 10 o'clock in the evening, etc., which is obtained by long-term recording of APP operation timestamp data by mobile terminals), temperature preference settings (commonly set temperature values, such as 26℃ in winter and 24℃ in summer), and usage scenarios (differences in operating habits in different modes at home and in the office). Air conditioner performance parameters include technical indicators such as the air conditioner's cooling / heating power, energy efficiency ratio, power consumption in different operating modes, and operating noise. These data are stored in the air conditioner and can be read by mobile terminals through communication connections. In addition to monitored parameters such as indoor temperature and humidity, indoor and outdoor environmental variables also include outdoor temperature (which the mobile terminal can obtain from the meteorological API), outdoor air quality (also obtained from the relevant environmental monitoring data interface), light intensity, etc. The third control instruction is an instruction generated by the mobile terminal based on a comprehensive analysis of these data, including the specific time points or time periods for turning the air conditioner on and off.

[0087] For example, on a mobile device, a smart home app collects user behavior data, stores it in a local database, and regularly analyzes patterns. Simultaneously, the app communicates with the air conditioner to obtain its performance parameters and accesses indoor and outdoor environmental variables through external interfaces. For example, analysis reveals that a user typically leaves home at 7:30 a.m. on weekdays and returns home at 6:30 p.m., and prefers to set the air conditioner to a cooling mode of 26°C upon returning home. Combining the air conditioner's cooling capacity, the current outdoor temperature of 30°C, the estimated initial indoor temperature of 28°C (based on the house's insulation, etc.), and the changing patterns of the indoor and outdoor temperature difference, an intelligent algorithm (such as one based on time series prediction combined with an air conditioner thermodynamic model) calculates that to ensure a comfortable indoor temperature of 26°C upon the user's return, the air conditioner should be turned on 30 minutes in advance. Consequently, a third control instruction is generated at 6:00 p.m. and sent to the air conditioner to control its onset. If the outdoor temperature drops suddenly, the algorithm reassesses and adjusts the start-stop sequence accordingly. Alternatively, if the user tends to stay home all day on weekends, multiple start-stop instructions can be generated and sent to the air conditioner based on the varying temperature demands during sleep and active periods.

[0088] Preferably, when the indoor humidity is detected to be above a threshold, the air conditioner sends a first control instruction to the mobile terminal, and adjusting the sensitivity parameter of the touch response of the mobile terminal includes:

[0089] The air conditioner generates a first control instruction including a humidity event type, a touch sensitivity adjustment parameter range, and an effective duration according to the humidity change characteristics, and transmits the first control instruction to the mobile terminal via a communication connection;

[0090] The humidity event types include a continuous high humidity state, a sudden humidity peak state, and a gradient rising humidity state.

[0091] Humidity change characteristics refer to the fluctuation pattern of indoor humidity, such as the humidity value being higher than the threshold for a continuous period of time, the humidity rising sharply in a short period of time, the humidity gradually increasing according to a certain gradient until it exceeds the threshold, etc. Humidity event type is a classification definition of humidity change characteristics, including continuous high humidity state (such as indoor humidity exceeding 70% for more than 1 hour continuously), sudden wet peak state (such as humidity rising sharply above the threshold in a short period of time, like after pouring a lot of water indoors), gradient rising wet state (humidity gradually climbs to exceed the standard at a steady rate). The touch sensitivity adjustment parameter range refers to the specific range in which the touch response sensitivity of the mobile terminal can be adjusted. The effective time refers to the length of time that the first control instruction to adjust the touch sensitivity parameter continues to take effect on the mobile terminal.

[0092] In one embodiment, an air conditioner acts as the execution entity, and its built-in humidity sensor monitors indoor humidity in real time. When the humidity exceeds a threshold, the air conditioner determines the humidity change characteristics at that moment. For example, by analyzing the data continuously transmitted by the humidity sensor and using a differential algorithm to calculate the humidity change rate, if the humidity is found to be continuously above the threshold for a cumulative period of one hour, it is determined to be a persistent high humidity state. If the humidity momentarily rises above the threshold and the rate of change is far greater than the normal fluctuation range, it is determined to be a sudden humidity peak state. If the humidity gradually increases to exceed the standard at a steady rate (e.g., a 1% humidity increase per minute), it is determined to be a gradual increase in humidity state. Based on the determined humidity event type, the air conditioner invokes a preset instruction generation module, which generates a corresponding first control instruction based on the humidity event type and a control parameter mapping table. For example, for a sudden humidity peak state, the mapping table specifies that the touch sensitivity adjustment parameter range is reduced to 50% to 70% of the original parameter (e.g., if the original sensitivity is 120Hz, the adjustment range is 60Hz to 84Hz), with an effective duration of 15 minutes. After the generated instruction contains this information, it is transmitted to the mobile terminal via a communication connection.

[0093] In general, by real-time monitoring of indoor humidity by the air conditioner and actively sending the first control instruction to the mobile terminal when the humidity exceeds the threshold, a rapid response to high humidity environments is achieved, effectively improving the user experience in high humidity environments. Secondly, the air conditioner generates a first control instruction including the humidity event type, the touch sensitivity adjustment parameter range and the effective duration based on the humidity change characteristics, so that the mobile terminal can make precise touch response adjustments according to different humidity conditions, thereby improving the intelligence level and adaptability of the device. Furthermore, the instructions are transmitted to the mobile terminal through a communication connection, ensuring the timely transmission of information and efficient collaboration between devices. Finally, the method can adjust the touch sensitivity of the mobile terminal in a targeted manner according to different humidity event types, which helps to reduce misoperations and improve the user's operational convenience and the practicality of the device in special environments.

[0094] Furthermore, when the indoor humidity is detected to be above a threshold, the air conditioner sends a first control instruction to the mobile terminal, and adjusting the sensitivity parameter of the touch response of the mobile terminal includes:

[0095] The mobile terminal responds to the first control instruction and performs the following operations:

[0096] When the humidity event type is a continuous high humidity state, calling the touch service interface to increase the capacitance signal determination benchmark for touch recognition to the median interval of the touch sensitivity adjustment parameter range;

[0097] The touch service interface is a programming interface that the mobile terminal system uses to provide applications with functions such as touch parameter adjustment. The capacitance signal judgment benchmark refers to the capacitance value standard used by the touch screen to determine whether there is a touch operation and the touch position. Raising it to the median range means taking the middle part (such as 150pF-250pF) of the touch sensitivity adjustment parameter range (such as the capacitance value range of 100pF-300pF) as the new judgment benchmark.

[0098] In one embodiment, during the return of the south wind, if indoor humidity remains around 75% (threshold 70%) for more than three consecutive days, the air conditioner will determine that the humidity is persistently high and send a first control instruction to the mobile phone. Upon receiving the instruction, the mobile phone will call the touch service interface of the capacitive touch screen to increase the capacitance signal determination threshold from the original 100pF to the lower limit of 150pF within the median range of 150pF-250pF, thereby improving touch recognition accuracy and reducing false touches caused by high humidity.

[0099] When the humidity event type is a sudden humidity peak state, the touch service interface is called to increase the capacitance signal determination benchmark to the upper limit of the touch sensitivity adjustment parameter range, lock the local response area of the screen, and generate an environmental adaptation status prompt mark on the mobile terminal interface;

[0100] The upper limit value of the capacitance signal judgment benchmark is the maximum value of the touch sensitivity adjustment parameter range (such as 300pF). The local response area locking of the screen is a response function that limits the touch operation to a specific area of the screen (such as the screen border area). The environmental adaptation status prompt mark is an icon or text prompt displayed on the mobile terminal interface to inform the user that the current touch parameters have been adjusted to adapt to the high humidity environment, such as the words "High humidity environment touch adaptation" or a special icon displayed in the notification bar.

[0101] When the humidity event type is a gradient rising wet state, the capacitance signal determination benchmark is adjusted by dynamic interpolation according to the real-time humidity gradient ratio, and a downward adjustment operation is triggered;

[0102] A countdown control signal is generated based on the effective time, and after the effective time is reached, a system interface is called to reset all touch parameters to default values.

[0103] The real-time humidity gradient ratio refers to the ratio of the current humidity rise rate to the preset maximum humidity rise rate, which is used to reflect the speed of humidity change. Dynamic interpolation adjustment is based on this ratio and calculates the adjustment value of the capacitance signal judgment benchmark according to a specific algorithm (such as a linear interpolation algorithm). Triggering a downward adjustment operation means lowering the capacitance signal judgment benchmark according to the calculated adjustment value so that the touch sensitivity adapts to humidity changes. The effective duration is the length of time the touch parameter adjustment specified by the first control instruction takes effect. The countdown control signal is used to time the effective duration. The system interface reset is to call the interface provided by the mobile terminal system to restore the default parameters to restore all touch parameters to the state before adjustment.

[0104] For example, during the rainy season, if indoor humidity starts at 60% and gradually rises at a rate of 5% per hour (threshold 70%), the air conditioner will detect a gradient-increasing humidity state and send a command to the mobile phone. The mobile phone dynamically interpolates and adjusts the capacitance signal judgment standard based on the real-time humidity gradient ratio. The initial capacitance signal judgment standard is 100pF, the touch sensitivity adjustment parameter range is 100pF-300pF, and the real-time humidity gradient ratio is 0.6. After linear interpolation, the new judgment standard is 100pF + 0.6 × (300pF-100pF) = 220pF. The touch parameter adjustment module adjusts it down to 220pF. After 20 minutes, it automatically resets, resetting the capacitance signal judgment standard and other touch parameters to the initial default value of 100pF.

[0105] Overall, the mobile terminal is able to accurately respond to different humidity event types. For example, in persistent high humidity conditions, by calling the touch service interface and properly adjusting the capacitance signal judgment benchmark, false touches caused by high humidity are effectively avoided, significantly improving the device's operational reliability in harsh environments. Secondly, in sudden humidity peaks, not only can the capacitance signal judgment benchmark be quickly raised to the upper limit to achieve optimal control of touch sensitivity, but by locking the local response area of the screen and generating an environmental adaptation status prompt, the user's operation accuracy and convenience are fully guaranteed, greatly enhancing the user experience. Furthermore, for gradient-increasing humidity conditions, dynamic interpolation adjustment using real-time humidity gradient ratios allows for more refined touch sensitivity adjustment, fully demonstrating the device's high adaptability and intelligent response capabilities. Finally, the design of a countdown control signal based on the effective time, and the function of automatically resetting touch parameters after expiration, not only provide users with a user-friendly and worry-free operating environment, but also further improve system stability and the device's long-term operation capability, ensuring the device's continued good performance in changing environments.

[0106] Preferably, based on environmental parameters and indoor comfort settings, the air conditioner generates optimal temperature zone information and pushes it to the mobile terminal, and receives optimal temperature zone control instructions fed back by the user through the mobile terminal, including:

[0107] The air conditioner performs the following operations:

[0108] Analyze the indoor temperature data to obtain the indoor temperature distribution, and analyze the indoor image data to obtain the user's indoor location coordinates;

[0109] Temperature data analysis uses the multi-point temperature data collected by the built-in temperature sensor network to calculate the temperature of each indoor area using the heat conduction equation and interpolation algorithms (such as inverse distance weighted interpolation), forming a temperature distribution matrix. Image data analysis uses the images captured by the camera in step S1 to identify the user's location based on a human detection algorithm (such as the deep learning-based YOLO algorithm). The location is expressed in pixel coordinates or actual coordinates (through calibration conversion).

[0110] For example, an air conditioner has multiple built-in high-precision temperature sensors that collect temperature data in real time according to a preset layout (such as in the four corners or the center of the room). This data is transmitted to the air conditioner's central processor, which uses inverse distance weighted interpolation to calculate the temperature at each location in the room based on the sensor locations and the collected temperature values, thereby obtaining the indoor temperature distribution matrix. Simultaneously, a wide-angle camera mounted on top of the air conditioner captures indoor images at set intervals (such as every 30 seconds), with an image resolution of at least 1280×720 pixels. The image recognition module uses a deep learning-based convolutional neural network (CNN) algorithm to perform human body detection and key point recognition on the image to determine the user's position in the image. Through the camera's internal and external calibration parameters, the image coordinates are converted to actual indoor space coordinates to obtain the user's specific location coordinates. For example, in a living room 5 meters long and 4 meters wide, temperature sensors are located at the four corners (coordinates (0, 0), (5, 0), (5, 4), (0, 4)) and the center (2.5, 2). The collected temperature data are 24°C, 25°C, 26°C, 24.5°C, and 25.5°C, respectively. Using inverse distance weighted interpolation, the temperature value is calculated for each 0.5 m x 0.5 m grid point in the room to form a temperature distribution matrix. In the image captured by the camera, the user is located at image coordinates (640, 360). The actual indoor position coordinates obtained through calibration parameter conversion are (2.3, 1.8).

[0111] Based on the indoor temperature distribution and the user's location coordinates, generating spatial coordinate parameters of several optimal temperature zones;

[0112] The spatial coordinate parameters of the optimal temperature zone refer to the specific location range of each optimal temperature zone within the room. They can be represented by the center coordinates and dimensional parameters (radius, length, width, etc.) of a geometric shape (such as a circle, ellipse, or rectangle). The generation process requires comprehensive consideration of the indoor temperature distribution, user location, and the preset comfort temperature zone model.

[0113] The air conditioner inputs the analyzed indoor temperature distribution matrix and the user's location coordinates into the comfort zone generation module. First, a base temperature zone is initially determined, centered on the user's location, based on a preset comfort zone radius (e.g., 1.2 meters) and shape (e.g., circular). Then, based on the indoor temperature distribution, a temperature gradient analysis algorithm is used to calculate the rate and direction of temperature change. If the temperature distribution within the base temperature zone is uneven or there are areas with excessive temperature gradients, the zone's position and shape are adjusted to maximize coverage of areas with a comfortable temperature. Simultaneously, based on the indoor furniture layout (derived from pre-stored furniture location information or real-time recognition) and the user's activity range (based on past behavioral data), several additional optimal temperature zones are generated for other possible indoor activity areas (e.g., the sofa area, dining table area, etc.). The spatial coordinate parameters of each temperature zone include the center coordinates, radius (for circular temperature zones), or length, width, and direction (for elliptical or rectangular temperature zones). For example, a circular temperature zone with a radius of 1.2 meters and center coordinates (2.3, 1.8) is generated, centered at the user's location (2.3, 1.8). Temperature gradient analysis revealed that this temperature zone is cooler toward the window and warmer toward the radiator, creating a distinct temperature gradient. To optimize comfort, the temperature zone was shifted slightly toward the radiator, with the adjusted center coordinates at (2.4, 1.9) and the radius remaining at 1.2 meters. Two additional circular temperature zones, each with a radius of 1.0 meters, were created in the living room's sofa area (center coordinates at (1.5, 3.0)) and dining table area (center coordinates at (3.5, 2.0).

[0114] Sending temperature zone information to the mobile terminal. The temperature zone information includes the functional area name of the optimal temperature zone and the optimal temperature zone comfort evaluation result based on temperature gradient analysis. The functional area name of the optimal temperature zone is obtained based on indoor furniture recognition results and past user behavior.

[0115] Functional area names are used to identify the functional attributes of different indoor areas, such as "rest area", "work area", "entertainment area", etc. Indoor furniture recognition is to identify the type and location of indoor furniture through images captured by cameras and pre-stored furniture feature libraries, using image recognition algorithms (such as target detection algorithms based on SIFT feature matching or deep learning). Past user behavior analysis is to analyze the user's activity patterns and preferences in different areas by recording data such as user activity trajectories, residence time, and operating behaviors in the room over a long period of time, and using data mining algorithms (such as cluster analysis, association rule mining, etc.). Comfort assessment is based on the temperature gradient (temperature change rate) and the preset comfortable temperature range (such as 24℃~26℃), and calculates the comfort score of the optimal temperature zone, usually expressed in percentage or grade.

[0116] For example, in a home living room, the air conditioner uses furniture recognition to determine the positions of the sofa (coordinates (1.5, 3.0)), desk (coordinates (3.0, 2.5)), and dining table (coordinates (4.0, 1.5)). Analysis of past user behavior revealed that users primarily watch TV and relax in the sofa area, read and work in the desk area, and dine and gather with their families in the dining table area. Therefore, these three areas were named "resting area," "work and study area," and "dining and socializing area," respectively. Among the generated optimal temperature zones, the resting area received a comfort rating of 90 (temperature 25°C to 26°C, temperature gradient 0.1°C / m), the work and study area received a comfort rating of 80 (temperature 24°C to 25°C, temperature gradient 0.2°C / m), and the dining and socializing area received a comfort rating of 85 (temperature 25°C to 26°C, temperature gradient 0.15°C / m). This temperature zone information is sent to the user's mobile device, allowing the user to select a zone for activities based on the comfort rating and further adjust the temperature.

[0117] generating a visual map including the optimal temperature zone and indoor temperature distribution, and transmitting the visual map to a mobile terminal;

[0118] First, determine the display range and scale of the image so that the entire indoor space can be fully displayed on one image. Then, according to the temperature distribution matrix, use a color mapping table (low temperature is blue, medium temperature is green, high temperature is red, etc.) to convert the temperature value of each grid point into a corresponding color value. For the optimal temperature zone, use a translucent white or yellow outline to mark it on the image, and display the functional area name and comfort score within the temperature zone. At the same time, in order to more intuitively display the temperature change trend, draw isotherms or temperature gradient arrows. After the image is drawn, the image data is encoded into PNG or JPEG format and sent to the mobile terminal via Wi-Fi or Bluetooth communication connection.

[0119] Among them, the optimal temperature zone is determined based on the preset indoor comfortable temperature range and temperature zone location.

[0120] The preset comfortable indoor temperature range can be determined based on human physiology and environmental science research, generally ranging from 24°C to 26°C in summer and 20°C to 22°C in winter. This range ensures comfort for most people. The location of temperature zones is determined based on the functional layout of the room and user habits. For example, the sofa area in the living room is defined as a rest area, with coordinates set to (2.0m-3.5m and 2.5m-4.0m). This area is often used for extended periods of time and rest, and therefore requires a high level of thermal comfort. The dining area is located near the dining table, and the reading area is located near the bookshelves. These locations are also determined based on the indoor furniture layout and user behavior. Based on these preset parameters, combined with real-time indoor temperature distribution and user location coordinates, the air conditioner calculates whether the temperature in each temperature zone is within the comfortable range and generates optimal temperature zone information based on this information. For example, if the rest area temperature is around 25°C, within the preset comfortable temperature range, this area is identified as one of the optimal temperature zones and notified to the user. In this way, the optimal temperature zone setting can accurately meet the user's comfort needs in different indoor locations, enabling personalized temperature control.

[0121] In summary, the air conditioner analyzes indoor temperature data and image data to accurately determine indoor temperature distribution and the user's location, providing reliable data support for subsequent temperature zone control. Secondly, based on a comprehensive analysis of indoor temperature distribution and user location, the system intelligently generates spatial coordinate parameters for several optimal temperature zones, meeting the personalized temperature zone requirements of different users in diverse scenarios and significantly improving indoor comfort. Furthermore, temperature zone information, including functional area names and comfort assessment results, is pushed to mobile devices, allowing users to quickly and intuitively access indoor temperature zone details, facilitating precise temperature zone selection based on their needs. Furthermore, the transmission and display of a visual map further enhances the user's intuitive understanding of the indoor temperature zone distribution, making the temperature zone information more clear at a glance. Finally, since the optimal temperature zone is determined based on the preset indoor comfort temperature range and temperature zone location, this method effectively ensures the scientific and rationality of temperature zone division, providing users with a higher quality and more comfortable indoor environment experience.

[0122] Furthermore, after the mobile terminal receives the temperature zone information, the mobile terminal performs the following operations:

[0123] Rendering and displaying the visual map, and displaying the name of the functional area to which the optimal temperature zone belongs and the comfort evaluation result of the optimal temperature zone;

[0124] Rendering involves the mobile terminal processing the received visualization map data to display it on the screen in an intuitive graphical format. Functional area names and comfort assessment results are key temperature zone information, guiding users to understand the comfort levels of different indoor areas.

[0125] After the mobile terminal receives the visual mapping data from the air conditioner, the graphics rendering module decodes it and maps it to the coordinate system of the mobile terminal screen. Using graphics rendering technologies such as OpenGL ES or Canvas 2D, visual mapping maps in the form of thermal maps, isotherm maps, etc. are drawn on the screen. At the same time, by calling the UI layout manager, the functional area name of the optimal temperature zone (such as "rest area", "work area") and the comfort assessment result (such as a score of 85 points, a good level, etc.) are displayed at the specified location. For example, in the Android system, SurfaceView or OpenGL ES library is used for graphics rendering, and Metal or Core Graphics technology is used in the iOS system. The rendered visual mapping occupies the main area of the screen, the functional area name is displayed in the form of a label floating above the corresponding temperature zone, and the comfort assessment result is displayed at the edge of the temperature zone in the form of a combination of icons and text.

[0126] Obtain the user's location coordinates and calculate the spatial straight-line distance between the user's location coordinates and the geometric center of the optimal temperature zone;

[0127] The user's location coordinates can be obtained using the mobile device's GPS module (outdoors) or Wi-Fi / Bluetooth indoor positioning technology (indoors). The spatial coordinates of the optimal temperature zone's geometric center are provided by the air conditioner or calculated by the mobile device (based on the temperature zone's spatial coordinate parameters). The linear distance is the Euclidean distance between the user's current location and the temperature zone's geometric center.

[0128] The location service module of the mobile terminal first obtains the user's current location coordinates. In an indoor environment, the user's approximate location coordinates (x user ,y user ,z user For each optimal temperature zone, according to its spatial coordinate parameters (such as the center coordinate (x center ,y center ,z center ) and shape), extract the geometric center coordinates. Then, use the distance formula between two points in three-dimensional space: Calculate the distance between the user and the geometric center of each optimal temperature zone. For example, in a two-story duplex house, the user is located in the living room on the second floor with coordinates (3.0, 4.5, 2.0), while the geometric center coordinates of the optimal temperature zone "resting area" are (2.5, 4.0, 2.0).

[0129] When the spatial straight-line distance is greater than the preset distance threshold:

[0130] Displaying several directional arrows pointing to all optimal temperature zones in a visual map, and generating numerical prompt information of the distance between the user's current location and the optimal temperature zone;

[0131] The preset distance threshold is a standard set based on the size of the indoor space and user comfort requirements, used to determine whether the user is far from the optimal temperature zone. A directional arrow graphically indicates the direction from the user's current location to the optimal temperature zone, and the distance indicator displays the distance between the user and the optimal temperature zone in text or numerical form.

[0132] For example, the distance monitoring module of the mobile terminal compares the calculated spatial straight-line distance with the preset distance threshold (such as 1.5 meters) in real time. When the distance exceeds the threshold, the UI control module triggers the guide arrow generator. According to the coordinates of the user's current position and the geometric center of the optimal temperature zone, the position direction of each optimal temperature zone relative to the user is calculated. Using vector graphics drawing technology, a guide arrow pointing to each optimal temperature zone is drawn on the visual map. The starting point of the arrow is the user's current position and points to the geometric center of the temperature zone. At the same time, the distance value prompt generator displays the distance value (such as "2.3 meters") between the user's current position and the optimal temperature zone next to each guide arrow in the form of a floating text box. For example, on the mobile terminal screen, the user sees a guide arrow starting from his own position pointing to the "rest area". The arrow shows a distance of "1.8 meters", and the arrow pointing to the "work area" shows a distance of "2.5 meters".

[0133] Start the distance monitoring countdown. If it is detected that the user has not moved within a certain period of time, determine whether the user is willing to move:

[0134] In a home environment, a user is watching TV while sitting 2.5 meters from the optimal temperature zone in the "rest area." The mobile terminal initiates a 30-second distance monitoring countdown. During this 30-second period, the user remains stationary (position change is 0 meters). After the countdown ends, the mobile terminal pops up a prompt asking the user for their preference. If the user selects "Auto Adjust," the mobile terminal sends a command to the air conditioner to adjust the air outlet temperature and speed based on the user's current location, improving comfort in the area where they are located.

[0135] If the user chooses automatic adjustment, the optimal temperature zone adjustment instruction is sent to the air conditioner, and the air conditioner adjusts the air outlet temperature and wind speed according to the user's current area until the optimal temperature zone standard is reached;

[0136] The optimal temperature zone adjustment command is a control command generated by the mobile terminal based on the user's selection. It contains the coordinates of the user's current location and the desired optimal temperature zone (such as temperature range and wind speed level). Upon receiving the command, the air conditioner adjusts the air outlet temperature and wind speed based on the current environmental parameters and the preset comfort zone model.

[0137] For example, after the user selects the "Automatic Adjustment" option in the prompt dialog box of the mobile terminal, the instruction generation module of the mobile terminal constructs an optimal temperature zone adjustment instruction data packet based on the user's current location coordinates and the standard parameters of the optimal temperature zone (such as a comfortable temperature range of 24°C to 26°C and automatic wind speed mode). This data packet is sent to the air conditioner via a communication connection (such as Wi-Fi or Bluetooth). After the air conditioner receives the instruction, its control module calculates the outlet temperature and wind speed parameters that need to be adjusted based on the temperature sensor data near the user's current location and the preset comfortable temperature zone model. For example, if the temperature at the user's current location is 27°C, the air conditioner will lower the temperature of the corresponding air outlet to 25°C and adjust the wind speed to medium speed so that the temperature in the user area gradually drops to the comfortable range of the optimal temperature zone. At the same time, the air conditioner monitors temperature changes in real time and dynamically adjusts parameters until the optimal temperature zone standard is reached.

[0138] If the user chooses to go to the optimal temperature zone by himself, a prompt tone will be played and the optimal temperature zone logo will be displayed when the user enters any optimal temperature zone.

[0139] The notification tone is an audio signal played by the mobile terminal to notify the user that they have entered the optimal temperature zone. The optimal temperature zone indicator is a visual prompt that displays the name of the current optimal temperature zone and comfort information in a striking graphic or text form.

[0140] For example, after the user selects the "Go to the optimal temperature zone on your own" option in the prompt dialog box of the mobile terminal, the mobile terminal continuously monitors the user's location coordinates. When the user's location coordinates enter the boundary range of any optimal temperature zone (determined according to the spatial coordinate parameters of the temperature zone), the location monitoring module triggers the prompt sound player to play the preset prompt sound (such as the "ding-dong" sound effect). At the same time, the UI control module displays the optimal temperature zone logo on the screen, including the temperature zone name (such as "You have entered the rest area") and the current comfort assessment result (such as "Comfort: 90 points"). For example, on the mobile terminal APP interface, when the user enters the "rest area", a translucent green circular logo pops up in the center of the screen with the text "Rest area, comfort: 90 points" and a prompt sound, reminding the user that he has entered the optimal temperature zone.

[0141] In general, mobile terminals can render and display visual maps, while presenting the functional area names and comfort assessment results of the optimal temperature zone, allowing users to see the indoor temperature zone conditions at a glance, greatly improving the convenience and intuitiveness of users in obtaining information. Secondly, by obtaining the user's location and calculating the spatial straight-line distance to the optimal temperature zone, accurate control of the relative position relationship between the user and the temperature zone is achieved, providing a key basis for subsequent personalized services. Furthermore, when the distance between the user and the optimal temperature zone exceeds the preset threshold, by displaying a guide arrow and providing distance value prompt information, the user is effectively guided to quickly locate and go to the optimal temperature zone, significantly improving the efficiency of the user in finding a comfortable temperature zone. In addition, the functional design of starting the distance monitoring countdown and judging the user's willingness to move fully reflects the meticulous attention to user behavior and needs, enabling the device to respond in a timely manner according to the user's actual situation. Finally, whether the user chooses automatic adjustment or goes to the optimal temperature zone on his own, this method can provide corresponding precise services. Whether it is remotely controlling the air-conditioning air outlet parameters to the optimal temperature zone standard, or assisting the user to reach the temperature zone smoothly through prompts and signs, it fully guarantees that the user can enjoy the optimal temperature zone service conveniently and comfortably, greatly improving the user experience and the practicality of the equipment.

[0142] Furthermore, the generation of the functional area name of the optimal temperature zone includes:

[0143] Identify surrounding furniture type features and human behavior and posture features based on image data;

[0144] In one embodiment, the air conditioner's built-in camera captures indoor images at regular intervals (e.g., every 30 seconds) with a resolution of 1280×720 pixels or higher. The image recognition module processes the images using a deep learning-based convolutional neural network (CNN) algorithm, such as YOLOv5 or ResNet. The algorithm identifies the type of furniture in the image by comparing it with a pre-stored library of furniture features. For example, a sofa might be identified as a large rectangular object with soft texture and backrest features, while a dining table might be identified as a horizontal object with a flat surface and legs. The identified furniture type and its location coordinates are recorded to provide a basis for the subsequent generation of functional area names. Furthermore, after identifying the furniture, the air conditioner's image recognition module further analyzes human body posture. Using human key point detection algorithms such as OpenPose, the image recognizes the joint positions (e.g., head, shoulders, elbows, hips, etc.) of the human body in the image. Based on these joint positions and the relationships between them, the human body's posture is determined. For example, if the buttocks are above the sofa plane and the body is sitting upright, it is judged as a static sitting posture; if the person lies flat within the outline of the bed, it is judged as a lying posture; if the upper body is leaning forward and the hands are close to the dining table, it is judged as a dining action. These behavioral posture features and their position coordinates are also recorded.

[0145] If the sofa / coffee table furniture feature is recognized and there is a human body sitting posture feature within the first range, the functional area name within the first range is set as the rest area;

[0146] The first range refers to a certain space area around the sofa or coffee table (such as a circular area with a radius of 1.5 meters), which is used to define possible rest areas.

[0147] For example, if a user is detected sitting still within 1.5 meters of a sofa, this area is named "resting area." This information is sent to the mobile terminal along with the temperature zone information.

[0148] If the dining table / chair furniture features are recognized and there are human dining action features within the second range, the functional area name within the second range is set as the dining area;

[0149] The second range refers to a certain space area around the dining table or dining chairs (such as a circular area with a radius of 1.0 meters), which is used to define the possible dining area.

[0150] For example, if a user is detected dining within a range of 1.0 meters around the dining table, the area is named "dining area".

[0151] If the bed / mattress furniture feature is recognized and there are human lying posture behavior features within the third range, the functional area name within the third range is set as the sleeping area.

[0152] The third range refers to a certain spatial area around the bed or mattress (such as a rectangular area with a radius of 2.0 meters), which is used to define the possible sleeping area.

[0153] For example, if a user is detected lying down within a range of 2.0 meters around the bed, the area is named "sleeping area".

[0154] In general, through accurate identification of surrounding furniture type characteristics and detailed analysis of human behavior and posture characteristics, this method can achieve accurate division of different functional areas in the room, laying a solid foundation for personalized and scenario-based indoor environment services. Secondly, based on the characteristics of sofas and coffee tables and the characteristics of human static sitting behavior, rest areas are intelligently set up to meet the specific needs of users in leisure and relaxation scenarios and improve the comfort and convenience of users during rest periods. Thirdly, based on the characteristics of dining tables and chairs and the characteristics of human dining movements and behaviors, the corresponding areas are accurately defined as dining areas, which helps optimize the user's dining environment, enables the equipment to better serve the user's daily dining activities, and can enhance the user experience.

[0155] Preferably, in response to the sudden risk event identified by the air conditioner, the air conditioner sends a second control instruction to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface, including:

[0156] Real-time analysis of flame spectrum characteristics and smoke diffusion patterns in image data, and simultaneous monitoring of temperature rise changes per unit time in local space;

[0157] Flame spectral characteristics refer to the unique wavelength and intensity distribution of a flame on the spectrum, which can be used to identify the presence and type of flame. Smoke diffusion patterns, including smoke concentration, diffusion speed, and direction, are used to determine the source and spread of smoke. Temperature rise refers to the rate of temperature change over time within a specific area and is used to assess the rate of heat accumulation.

[0158] The camera built into the modulator captures indoor images in real time, and the image processing module uses spectral analysis to identify the characteristic wavelengths of flames (such as the red and yellow bands in the visible light range). Simultaneously, image sequence analysis monitors the diffusion pattern of smoke, including changes in concentration and flow direction. A temperature sensor network collects local temperature data in real time (such as a 2-meter radius centered on the camera) and calculates the rate of temperature rise per unit time (e.g., a temperature rise of 0.5°C per second). This data is processed synchronously to quickly identify risks in the early stages of a fire.

[0159] When the flame spectrum characteristics exceed the safety threshold and the temperature rise rate exceeds the preset critical range, it is marked as a fire event;

[0160] The safety threshold is the upper limit of the flame spectrum characteristics. Exceeding this value may cause a fire. The preset critical range is the upper limit of the temperature rise rate. Exceeding this range indicates that heat accumulation is too rapid and may cause a fire.

[0161] The air conditioner's fire identification module continuously monitors the flame's spectral characteristics and temperature rise rate. A fire event is detected when the flame's spectral intensity exceeds a preset threshold (e.g., spectral intensity exceeds 300% of the background value) and the temperature rise rate exceeds a critical value (e.g., a temperature rise of 1.0°C per second).

[0162] Generate heat source coordinates and a second control instruction, and send them to the mobile terminal;

[0163] The air conditioner's positioning module uses image analysis and sensor data fusion to determine the coordinates of the heat source in the flame or high-temperature area (e.g., using a binocular camera or depth sensor to calculate the flame's location). The generated second control instruction contains information such as the heat source coordinates and the severity of the fire. This second control instruction is sent to the mobile terminal via a communication module (e.g., Wi-Fi or 4G), ensuring that the instruction reaches the user's device quickly.

[0164] The heat source coordinates refer to the spatial location of the flame or high temperature area in the room and can be expressed as three-dimensional coordinates. The second control instruction is an instruction sent by the air conditioner to the mobile terminal for triggering an emergency response.

[0165] The second control instruction includes: causing the mobile terminal operating system to interrupt the current process and execute a system-level response:

[0166] Bypassing the screen lock state, the mobile terminal display screen is forcibly activated, the indoor passage structure model pre-stored in the local database is retrieved, and the preset escape route map is superimposed on the top of the screen;

[0167] The screen lock state refers to the locked state of a mobile terminal, which typically requires the user to unlock the screen before operation. The indoor corridor structure model is a pre-stored indoor layout diagram, including key path information such as corridors and exits. The escape route map is a preset escape route map based on the indoor layout.

[0168] The mobile terminal's emergency response module activates the screen unlock function, forcing the display to illuminate, bypassing any password or biometric lock. It retrieves a pre-stored indoor corridor structure model from a local database (e.g., the phone's internal storage) and overlays a pre-set escape route diagram (e.g., the nearest exit path) on top of the screen, ensuring the user can clearly see the escape route.

[0169] Based on the spatial relationship between the user's real-time positioning coordinates and the fire source location, the optimal obstacle avoidance path is calculated and a direction arrow is rendered in the interface. The arrow color changes gradually with the path risk level.

[0170] Real-time positioning coordinates are the user's precise current location indoors. The optimal obstacle avoidance path is the safest and shortest path from the user's location to the safe exit. The path risk level is an assessment of the risk level based on possible obstacles (such as fire and smoke) along the path.

[0171] For example, the mobile terminal's positioning module (e.g., using Wi-Fi signal strength or Bluetooth beacons) determines the user's location coordinates in real time. Based on the heat source coordinates and the indoor layout, a path planning algorithm (e.g., the A* algorithm) calculates the optimal obstacle avoidance path. Dynamic directional arrows are rendered on the display to guide the user along the optimal escape path. The arrow's color changes dynamically based on the path's risk level (e.g., green for safe, yellow for medium risk, and red for high risk).

[0172] To calculate the optimal path for obstacle avoidance, you can first build an indoor grid map: divide the indoor environment into grid cells, and determine which grid cells are passable and which are occupied by obstacles based on information such as the indoor layout and furniture placement. For example, in a room, divide the floor area into multiple square grids with a side length of 0.5 meters, mark the grids where obstacles such as walls, tables and chairs are located, and the remaining grids are passable areas. Then locate the user's position: determine the user's current position coordinates in the indoor grid map through the positioning technology of the mobile terminal (such as Wi-Fi signal strength positioning, Bluetooth beacon positioning or visual positioning, etc.). Assume that the user is at the grid coordinates (x_user, y_user).

[0173] Next, determine the target location and obstacle information. Set the escape target location to a safe exit or a safe area away from the fire source, with coordinates (x_target, y_target). In addition to fixed indoor obstacles, the location and impact range of dynamic obstacles such as flames and smoke must be determined based on the actual fire situation. For example, based on flame spectral characteristics and smoke diffusion morphology analysis, determine the grid coordinate range of the flame area and the grid of areas with high smoke concentration.

[0174] A cost function is then defined to evaluate the cost of moving from one grid to another. The cost can include distance factors, risk factors (such as the risk of being close to a flame or smoke area), etc. For example, the distance cost can be the Euclidean distance between two grid centers; the risk cost can be determined based on the distance to the flame or smoke area, with the closer the distance, the higher the risk cost. Initialize the open list and closed list. The open list is used to store grid nodes to be evaluated, and the closed list is used to store grid nodes that have been evaluated. Initially, the grid node at the user's location is added to the open list, and the closed list is empty.

[0175] The grid node with the lowest cost is selected from the open list as the current node. The cost is calculated as: F = G + H, where G is the actual cost of moving from the user's location to the current node, and H is a heuristic estimate of the cost from the current node to the target location (such as Euclidean distance or Manhattan distance).

[0176] Check the adjacent grid nodes of the current node (usually four directions, up, down, left, and right, or eight directions including diagonal). For each adjacent node:

[0177] If the adjacent node is an obstacle or is already in the closed list, it is skipped.

[0178] If the adjacent node is not in the open list, calculate its G value and H value, add it to the open list, and record the current node as the parent node of the adjacent node.

[0179] If the adjacent node is already in the open list, but the G value of reaching the adjacent node through the current node is smaller, then update the G value and parent node information of the adjacent node.

[0180] Add the current node to the closed list.

[0181] Repeat the above steps until the target node is added to the closed list or the open list is empty (indicating no feasible path).

[0182] Starting from the target node, the system traces back along the parent node pointer to the node at the user's current location, forming a path from the user's location to the target. This path is the optimal obstacle avoidance path. Based on the grid node coordinates on the path, the system calculates the movement direction and distance between adjacent nodes, generating specific walking direction instructions (such as left turn, right turn, straight ahead, etc.) and step length information.

[0183] The spatial coordinates of the fire extinguisher and first aid kit are calibrated in the building model, and a polar coordinate orientation prompt box is generated with the user's position as the origin.

[0184] The building model is a three-dimensional model of the indoor environment, including the locations of all key facilities and supplies. The polar coordinate direction prompt box is a graphical interface element that indicates the direction and distance of supplies, with the user's current location as the origin.

[0185] In summary, by analyzing flame spectral characteristics and smoke diffusion patterns in real-time image data, and simultaneously monitoring local temperature rise changes, the system achieves accurate and rapid fire detection, providing critical data support for timely and effective emergency response. Secondly, when flame spectral characteristics and temperature rise rates exceed safe ranges, the system quickly flags the fire event, generates heat source coordinates, and sends a second control instruction to the mobile terminal. This ensures the timely transmission of fire information and the rapid initiation of emergency response, buying valuable time to protect user safety. Furthermore, the second control instruction prompts the mobile terminal operating system to interrupt the current process and initiate a system-level response. This design effectively prevents users from missing escape opportunities due to delayed device response in emergencies, significantly improving the reliability and safety of the device in critical scenarios. Furthermore, by forcibly activating the mobile terminal display, retrieving a model of the indoor corridor structure, and overlaying an escape route map, the system provides users with clear and intuitive escape guidance, allowing them to quickly identify escape routes even in chaotic fire environments, effectively reducing the difficulty and risk of escape. The system also calculates the optimal obstacle avoidance path based on the spatial relationship between the user and the fire source, and uses color-changing arrows to indicate the direction, allowing users to intuitively understand the safety of their escape route in real time, further improving their chances of escaping. Finally, the spatial coordinates of fire extinguishers and first aid kits are calibrated within the building model, generating polar coordinate location prompts. This provides users with precise location information for critical rescue equipment, helping them quickly access rescue tools during escape, comprehensively improving their emergency response capabilities and escape safety.

[0186] Preferably, the emergency information interface includes an escape route map pre-drawn by the air conditioner, and the drawing of the escape route map includes:

[0187] During the communication connection between the air conditioner and the mobile terminal, continuously monitoring the signal strength of the communication connection and recording the corresponding position coordinates;

[0188] The signal strength of the communication connection can be represented by the RSSI (Received Signal Strength Indicator) value, which reflects the strength of the signal. The location coordinates are the spatial position of the mobile terminal indoors and can be obtained through various positioning technologies.

[0189] The air conditioner can establish a communication connection with the mobile terminal through a communication module (such as a Wi-Fi or Bluetooth module). During the connection, the communication module monitors the signal strength in real time and reads the RSSI value at a fixed frequency (such as once per second). At the same time, the mobile terminal uses built-in sensors (such as Wi-Fi signal strength, Bluetooth beacons, or accelerometers) to determine its own location coordinates and sends the location coordinates and corresponding RSSI value to the air conditioner through the communication connection. The air conditioner records this data and establishes a database of the corresponding relationship between signal strength and location. For example, in an office environment, the mobile terminal uses Bluetooth beacons to locate and send the current coordinates and RSSI value to the air conditioner every 1 second. The air conditioner stores this data for subsequent analysis.

[0190] When the signal strength drops to a first signal threshold, the current location is marked as the starting point of the escape route;

[0191] The air conditioner analyzes the received RSSI values in real time. When the RSSI value drops to a first signal threshold (e.g., -75dBm), it triggers the escape path starting point marking. At this point, the mobile terminal's current location is recorded as the escape path starting point. For example, if the air conditioner detects that the RSSI value drops from -60dBm to -75dBm, the mobile terminal's current location coordinates (e.g., (8, 2)) are marked as the escape path starting point.

[0192] When the signal strength further drops below the second signal threshold, the signal disappearance monitoring countdown is started;

[0193] If the signal strength returns to zero before the countdown ends and continues to reach the time threshold, the coordinates of the signal vanishing point are marked as a candidate escape exit point;

[0194] Signal strength zeroing means the RSSI value reaches the minimum detectable level or the signal is completely lost. The time threshold is used to determine the duration of signal loss to avoid misjudgment caused by brief interference.

[0195] For example, before the countdown ends, if the RSSI value returns to zero (e.g., below -100dBm) and lasts for a time threshold (e.g., 2 seconds), the air conditioner marks the location coordinates last reported by the mobile terminal as a candidate escape point. For example, if the RSSI value returns to zero in the last second of the countdown and lasts for 2 seconds, the location coordinates last reported by the mobile terminal (e.g., (12, 5)) are marked as a candidate escape point.

[0196] generating an unobstructed path from the starting point of the escape path to the candidate escape exit point according to the signal connection path;

[0197] The signal connection path refers to the path that the mobile terminal moves during the communication connection, recording the signal strength changes and location coordinates. The unobstructed path refers to the path without obvious obstacles between the escape path starting point and the candidate escape exit point.

[0198] The air conditioner analyzes the recorded signal strength and location coordinate data, combines it with indoor layout information (such as the location of walls and furniture obtained from the floor plan), and uses a path planning algorithm (such as the A* algorithm or the Dijkstra algorithm) to generate an unobstructed path. For example, from the escape path starting point (8, 2) to the candidate exit point (12, 5), the algorithm calculates a path that avoids walls and large obstacles: (8, 2) → (9, 3) → (10, 4) → (11, 4.5) → (12, 5).

[0199] When a cumulative number of signal loss events generated by several mobile terminals in the same area are obtained, the candidate escape exit point is upgraded to a formal escape exit mark.

[0200] The signal loss event of multiple mobile terminals refers to a situation where multiple mobile terminals report signal loss in the same area, which is used to verify that the area is indeed an exit.

[0201] The air conditioner counts the number of signal loss events that occur within the same area (e.g., a circular area with a radius of 2 meters centered on the candidate escape exit point). When the cumulative number reaches a set threshold (e.g., 5 times), the system upgrades the candidate escape exit point to an official escape exit identifier. For example, within a week, if 5 different mobile terminals report signal loss events near the coordinates (12, 5), the air conditioner upgrades this point to an official escape exit and displays it on the emergency information interface. The verification process for each signal loss event includes comparing the time, location, and signal strength change pattern to ensure the validity of the event.

[0202] In general, the signal strength is continuously monitored and the position coordinates are recorded during the communication connection between the air conditioner and the mobile terminal, which accumulates detailed and critical basic data for the drawing of the escape route map and ensures the accuracy of the escape path. Secondly, by setting the first signal threshold to mark the starting point of the escape path, the starting position of the user entering the potential danger area can be captured in time, providing a clear starting point basis for subsequent escape guidance. Furthermore, when the signal strength further drops below the second signal threshold, the signal disappearance monitoring countdown is started. This design effectively avoids misjudgments caused by signal fluctuations and improves the accuracy of the escape exit candidate point marking. At the same time, when the signal strength returns to zero before the end of the countdown and continues to reach the time threshold, the coordinates of the signal vanishing point are marked as the escape exit candidate point, which realizes the precise positioning of the potential escape exit and provides users with reliable escape exit information. Finally, when a cumulative number of signal loss events are obtained from multiple mobile terminals in the same area, the candidate escape exit points are upgraded to official escape exit signs. This mechanism ensures the reliability and effectiveness of the escape exit information. After multiple verifications, the escape exits provided to users are more credible, providing a solid guarantee for the safe evacuation of users in emergency situations.

[0203] Preferably, based on the user behavior habit data, the air conditioner performance parameters, and the indoor and outdoor environmental variables, the mobile terminal sends a third control instruction to the air conditioner to control the start and stop sequence of the air conditioner, including:

[0204] The mobile terminal obtains user behavior habit data, including alarm triggering time and historical leaving time;

[0205] User behavior data refers to data that reflects a user's daily behavior patterns, including alarm trigger times (the time the user sets the alarm) and historical out-of-home times (the time the user actually left the house in the past). This data is used to predict the user's future out-of-home times.

[0206] For example, the behavioral data collection module of the mobile terminal obtains the alarm trigger time point from the system's clock application and calendar application. For example, users usually set multiple alarms, such as 7:00 on weekdays and 8:30 on weekends. At the same time, the location service module of the mobile terminal (such as GPS or Wi-Fi positioning) records the time when the user goes out every day to form a historical out-of-home time point data set. The data collection frequency is once a day, and the data is updated after the user finishes a day's activities (such as after 10 pm). For example, it is collected that the user's weekday out-of-home time in the past month is concentrated between 7:15 and 7:30, and the weekend out-of-home time is concentrated around 9:00.

[0207] The air conditioner provides real-time feedback of air conditioning performance parameters and indoor and outdoor environmental variables to the mobile terminal;

[0208] Air conditioning performance parameters include cooling efficiency, energy efficiency ratio, current operating mode (cooling, heating, etc.), and elapsed operating time. Indoor and outdoor environmental variables include indoor temperature, humidity, outdoor temperature, and light intensity.

[0209] The mobile terminal establishes a benchmark model for morning activity duration based on user behavior data. When the predicted time to go out is reached:

[0210] The mobile terminal analyzes the air conditioner's performance parameters to determine the current rate of decline in indoor cooling efficiency. Based on a benchmark model of morning activity duration, the current rate of decline in indoor cooling efficiency, and indoor and outdoor environmental variables, it calculates the optimal shutdown time to meet a preset critical comfort range.

[0211] The cooling efficiency decay rate refers to the rate at which the air conditioner's cooling efficiency decreases over time. The preset critical comfort range is the range of indoor temperatures acceptable to users (e.g., 24°C to 26°C). The optimal shutoff time is the latest time, before the user's predicted departure time, at which the indoor temperature remains within the comfort range after the air conditioner is turned off.

[0212] After receiving the air conditioner performance parameters, the mobile terminal analyzes the current cooling efficiency decay rate. Combining a morning activity duration benchmark model (e.g., a predicted leaving home time of 8:15) with indoor and outdoor environmental variables (current indoor temperature 26°C, outdoor temperature 30°C), the optimal shutdown time is calculated using a thermodynamic model and a time series prediction algorithm. For example, assuming that after the air conditioner is turned off, the indoor temperature rises by 1°C per hour (calculated based on the decay rate and the indoor and outdoor temperature difference), and to ensure that the indoor temperature does not exceed 26°C at the leaving home time of 8:15, the optimal shutdown time is calculated to be 8:00. At this time, if the air conditioner is turned off, the indoor temperature rises from 25.5°C to 26°C between 8:00 and 8:15, which is just at the upper limit of the comfort zone.

[0213] The mobile terminal generates a third control instruction at the optimal shutdown time point and sends it to the air conditioner;

[0214] If the mobile terminal detects through positioning that the user's actual time of leaving home is earlier than the optimal shutdown time, it immediately sends an emergency shutdown command to the air conditioner and updates the morning activity duration benchmark model based on the actual time of leaving home.

[0215] The actual exit time refers to the time when the user actually leaves the room, which is detected by the positioning system of the mobile terminal (such as GPS or Wi-Fi positioning). The emergency shutdown command is a control command used to immediately shut down the air conditioner.

[0216] In one embodiment, the positioning monitoring module of the mobile terminal tracks the user's location in real time. When it is detected that the user leaves the room (such as by positioning coordinates exceeding the indoor range or leaving the indoor area through a Bluetooth beacon), the actual time of leaving the room is recorded. If the actual time of leaving the room is earlier than the optimal shutdown time point (such as 7:45 is earlier than 8:00), an emergency shutdown instruction is immediately generated and sent to the air conditioner. At the same time, the data analysis module incorporates the actual time of leaving the room into the data set of the morning activity duration benchmark model, recalculates the mean and standard deviation, and updates the model parameters. For example, the new time of leaving the room 7:45 is added to the weekday time of leaving the room data set, and the recalculated mean is 74 minutes and the standard deviation is 11 minutes.

[0217] In general, mobile terminals capture user behavior data, including alarm trigger times and historical exit times, providing data support for accurately predicting user exit times. This helps personalize the air conditioner's start-stop sequence and enhances user convenience. Secondly, the air conditioner provides real-time feedback to the mobile terminal regarding air conditioner performance parameters and indoor and outdoor environmental variables, enabling the mobile terminal to monitor the air conditioner's operating status and environmental information, providing comprehensive and accurate data support for subsequent intelligent control. Furthermore, a morning activity duration benchmark model based on user behavior data accurately predicts the user's exit time, ensuring that air conditioner control closely matches the user's actual needs, avoiding energy waste while providing a comfortable environment. By analyzing air conditioner performance parameters and combining the morning activity duration benchmark model, cooling efficiency decay rate, and indoor and outdoor environmental variables, the optimal shutdown time is scientifically calculated, enabling refined management of air conditioner operation, ensuring a comfortable experience for users before leaving home while effectively saving energy. Finally, if the mobile terminal detects that the user's actual leaving time is earlier than the optimal shutdown time, it will immediately send an emergency shutdown command and update the morning activity duration benchmark model. This design fully reflects the ability to flexibly respond to changes in users' actual behavior. It not only avoids unnecessary energy waste, but also further improves the intelligence level and energy utilization efficiency of the system, achieving a win-win situation of user comfort experience and energy saving effect.

[0218] Preferably, the morning activity duration benchmark model satisfies the relationship:

[0219]

[0220] Where, ΔT base Indicates the duration of morning activities, Indicates the actual time of leaving home on the i-th day, represents the actual time of leaving the house on the i-th day, and N represents the number of days of valid historical data.

[0221] Specifically, it can analyze the living habits and behavior patterns of different individuals. Everyone's morning activity situation is different. By collecting an individual's valid historical wake-up data for N days, it can accurately reflect the individual's activity duration benchmark from the time the alarm clock rings to the time they finally leave the house in the morning. For example, for someone who gets up early to exercise, this model can reflect their longer morning activity preparation time (such as putting on sportswear, warming up, etc.), while for someone who simply washes up and goes out after getting up, it can also accurately derive their shorter morning activity duration benchmark.

[0222] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative uses of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0223] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A method for interactive control of an intelligent air conditioner and a mobile terminal, characterized in that: The interactive control method between the intelligent air conditioner and the mobile terminal includes: The air conditioner monitors indoor environmental parameters in real time, including humidity, temperature and image data; Establishing a communication connection between the air conditioner and the mobile terminal, and when the air conditioner detects that the indoor humidity exceeds a threshold, sending a first control instruction to the mobile terminal to adjust a sensitivity parameter of a touch response of the mobile terminal; Based on environmental parameters and indoor comfort settings, the air conditioner generates optimal temperature zone information and pushes it to the mobile terminal, and receives optimal temperature zone control instructions from the user through the mobile terminal; In response to the sudden risk event identified by the air conditioner, the air conditioner sends a second control instruction to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface; Based on user behavior habit data, air conditioning performance parameters and indoor and outdoor environmental variables, the mobile terminal sends a third control instruction to the air conditioner to control the start and stop timing of the air conditioner.

2. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that: When the indoor humidity is detected to be above a threshold, the air conditioner sends a first control instruction to the mobile terminal to adjust the sensitivity parameter of the touch response of the mobile terminal. The steps include: The air conditioner generates a first control instruction including a humidity event type, a touch sensitivity adjustment parameter range, and an effective duration according to the humidity change characteristics, and transmits the first control instruction to the mobile terminal via a communication connection; The humidity event types include a continuous high humidity state, a sudden humidity peak state, and a gradient rising humidity state.

3. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 2, characterized in that: When the indoor humidity is detected to be above a threshold, the air conditioner sends a first control instruction to the mobile terminal to adjust the sensitivity parameter of the touch response of the mobile terminal. The steps include: The mobile terminal responds to the first control instruction and performs the following operations: When the humidity event type is a continuous high humidity state, calling the touch service interface to increase the capacitance signal determination benchmark for touch recognition to the median interval of the touch sensitivity adjustment parameter range; When the humidity event type is a sudden humidity peak state, the touch service interface is called to increase the capacitance signal determination benchmark to the upper limit of the touch sensitivity adjustment parameter range, lock the local response area of the screen, and generate an environmental adaptation status prompt mark on the mobile terminal interface; When the humidity event type is a gradient rising wet state, the capacitance signal determination benchmark is adjusted by dynamic interpolation according to the real-time humidity gradient ratio, and a downward adjustment operation is triggered; A countdown control signal is generated based on the effective time, and after the effective time is reached, a system interface is called to reset all touch parameters to default values.

4. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that: Based on environmental parameters and indoor comfort settings, the air conditioner generates optimal temperature zone information and pushes it to the mobile terminal. It also receives optimal temperature zone control instructions from the user via the mobile terminal, including: The air conditioner performs the following operations: Analyze the indoor temperature data to obtain the indoor temperature distribution, and analyze the indoor image data to obtain the user's indoor location coordinates; Based on the indoor temperature distribution and the user's location coordinates, generating spatial coordinate parameters of several optimal temperature zones; Sending temperature zone information to the mobile terminal. The temperature zone information includes the functional area name of the optimal temperature zone and the optimal temperature zone comfort evaluation result based on temperature gradient analysis. The functional area name of the optimal temperature zone is obtained based on indoor furniture recognition results and past user behavior. generating a visual map including the optimal temperature zone and indoor temperature distribution, and transmitting the visual map to a mobile terminal; Among them, the optimal temperature zone is determined based on the preset indoor comfortable temperature range and temperature zone location.

5. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 4, characterized in that: After the mobile terminal receives the temperature zone information, the mobile terminal performs the following operations: Rendering and displaying the visual map, and displaying the name of the functional area to which the optimal temperature zone belongs and the comfort evaluation result of the optimal temperature zone; Obtain the user's location coordinates and calculate the spatial straight-line distance between the user's location coordinates and the geometric center of the optimal temperature zone; When the spatial straight-line distance is greater than the preset distance threshold: Displaying several directional arrows pointing to all optimal temperature zones in a visual map, and generating numerical prompt information of the distance between the user's current location and the optimal temperature zone; Start the distance monitoring countdown. If it is detected that the user has not moved within a certain period of time, determine whether the user is willing to move: If the user chooses automatic adjustment, the optimal temperature zone adjustment instruction is sent to the air conditioner, and the air conditioner adjusts the air outlet temperature and wind speed according to the user's current area until the optimal temperature zone standard is reached; If the user chooses to go to the optimal temperature zone by himself, a prompt tone will be played and the optimal temperature zone logo will be displayed when the user enters any optimal temperature zone.

6. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 4, characterized in that: The generation of the functional area name of the optimal temperature zone includes: Identify surrounding furniture type features and human behavior and posture features based on image data; If the sofa / coffee table furniture feature is recognized and there is a human body sitting posture feature within the first range, the functional area name within the first range is set as the rest area; If the dining table / chair furniture features are recognized and there are human dining action features within the second range, the functional area name within the second range is set as the dining area; If the bed / mattress furniture feature is recognized and there are human lying posture behavior features within the third range, the functional area name within the third range is set as the sleeping area.

7. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that: In response to the sudden risk event identified by the air conditioner, the air conditioner sends a second control instruction to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface, including: Real-time analysis of flame spectrum characteristics and smoke diffusion patterns in image data, and simultaneous monitoring of temperature rise changes per unit time in local space; When the flame spectrum characteristics exceed the safety threshold and the temperature rise rate exceeds the preset critical range, it is marked as a fire event; Generate heat source coordinates and a second control instruction, and send them to the mobile terminal; The second control instruction includes: causing the mobile terminal operating system to interrupt the current process and execute a system-level response: Bypassing the screen lock state, the mobile terminal display screen is forcibly activated, the indoor passage structure model pre-stored in the local database is retrieved, and the preset escape route map is superimposed on the top of the screen; Based on the spatial relationship between the user's real-time positioning coordinates and the fire source location, the optimal obstacle avoidance path is calculated and a direction arrow is rendered in the interface. The color of the arrow changes gradually with the path risk level. The spatial coordinates of the fire extinguisher and first aid kit are calibrated in the building model, and a polar coordinate orientation prompt box is generated with the user's position as the origin.

8. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that: The emergency information interface includes an escape route map pre-drawn by the air conditioner. The drawing of the escape route map includes: During the communication connection between the air conditioner and the mobile terminal, continuously monitoring the signal strength of the communication connection and recording the corresponding position coordinates; When the signal strength drops to a first signal threshold, the current location is marked as the starting point of the escape route; When the signal strength further drops below the second signal threshold, the signal disappearance monitoring countdown is started; If the signal strength returns to zero before the countdown ends and continues to reach the time threshold, the coordinates of the signal vanishing point are marked as a candidate escape exit point; generating an unobstructed path from the starting point of the escape path to the candidate escape exit point according to the signal connection path; When a cumulative number of signal loss events generated by several mobile terminals in the same area are obtained, the candidate escape exit point is upgraded to a formal escape exit mark.

9. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that: Based on user behavior data, air conditioner performance parameters, and indoor and outdoor environmental variables, the mobile terminal sends a third control instruction to the air conditioner to control the air conditioner start and stop sequence, including: The mobile terminal obtains user behavior habit data, including alarm triggering time and historical leaving time; The air conditioner provides real-time feedback of air conditioning performance parameters and indoor and outdoor environmental variables to the mobile terminal; The mobile terminal establishes a benchmark model for morning activity duration based on user behavior data. When the predicted time to go out is reached: The mobile terminal analyzes the air conditioner's performance parameters to determine the current rate of decline in indoor cooling efficiency. Based on a benchmark model of morning activity duration, the current rate of decline in indoor cooling efficiency, and indoor and outdoor environmental variables, it calculates the optimal shutdown time to meet a preset critical comfort range. The mobile terminal generates a third control instruction at the optimal shutdown time point and sends it to the air conditioner; If the mobile terminal detects through positioning that the user's actual time of leaving home is earlier than the optimal shutdown time, it immediately sends an emergency shutdown command to the air conditioner and updates the morning activity duration benchmark model based on the actual time of leaving home.

10. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 9, characterized in that: The morning activity duration benchmark model satisfies the relationship: Where ΔT base Indicates the duration of morning activities, Indicates the actual time of leaving home on the i-th day, represents the actual time of leaving the house on the i-th day, and N represents the number of days of valid historical data.

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