An intelligent air conditioner and mobile terminal interactive control method

Abstract

The application relates to the technical field of intelligent interaction, and discloses an interactive control method for an intelligent air conditioner and a mobile terminal, which comprises the following steps: the air conditioner monitors indoor environmental parameters in real time, wherein the environmental parameters comprise humidity, temperature and image data; when the monitored indoor humidity exceeds a threshold value, the air conditioner sends a first regulation and control instruction to the mobile terminal to adjust the sensitivity parameter of the touch response of the mobile terminal; based on the environmental parameters and indoor comfort setting, the air conditioner generates optimal temperature zone information and pushes the information to the mobile terminal, and receives the optimal temperature zone regulation and control instruction fed back by the 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 user behavior habit data, air conditioner performance parameters and indoor and outdoor environmental variables, the mobile terminal sends a third regulation and control instruction to the air conditioner to control the start and stop timing of the air conditioner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent interaction, and particularly relates to an interactive control method of an intelligent air conditioner and a mobile terminal. BACKGROUND

[0002] In the prior art, the interactive control method of the intelligent air conditioner and the mobile terminal mainly relies on basic communication connection to realize simple remote control functions such as temperature adjustment, power on / off, etc. However, these methods usually only support limited environmental monitoring, and mostly only focus on temperature parameters, while the monitoring and utilization of other key environmental factors such as humidity and image data are not sufficient. In addition, the prior art has deficiencies in touch response adjustment of the mobile terminal, and cannot dynamically optimize the touch sensitivity according to the change of environmental humidity, resulting in poor user operation experience in high humidity environments and prone to false touch or insensitive operation problems. In the face of sudden risk events, the traditional method lacks an effective emergency response mechanism, and cannot timely push important information or trigger the corresponding emergency operation interface to the user, which may delay the user's handling of the emergency. At the same time, the prior art often ignores the depth analysis of user behavior habits and the satisfaction of personalized needs, and it is difficult to intelligently adjust the running parameters of the air conditioner according to the user's use habits and environmental variables, so as to realize more personalized and energy-saving control effect. SUMMARY

[0003] In view of the above defects, the purpose of the present application is to provide an interactive control method of an intelligent air conditioner and a mobile terminal, which aims to realize intelligent optimization of interactive control by real-time monitoring of environmental parameters, establishing a bidirectional communication connection between the air conditioner and the mobile terminal, intelligently adjusting the touch response of the mobile terminal, accurately pushing the best temperature zone information, timely displaying emergency information, and intelligently controlling the start-stop timing of the air conditioner, to improve the convenience and comfort of user use.

[0004] To achieve this purpose, the present application adopts the following technical solutions:

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

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

[0007] A communication connection between the air conditioner and the mobile terminal is established, and when the indoor humidity is monitored to exceed a threshold value, 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;

[0008] Based on the environmental parameters and the indoor comfort setting, the air conditioner generates the best temperature zone information and pushes it to the mobile terminal, and receives the best temperature zone control instruction fed back by the user through the mobile terminal.

[0009] In response to the air conditioner identifying a sudden risk event, 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] According to user behavior habit 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-stop timing.

[0011] Preferably, when the indoor humidity is monitored to exceed the threshold value, 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, including:

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

[0013] The humidity event type includes persistent high humidity state, sudden humidity peak state and gradient rising humidity state.

[0014] Preferably, when the indoor humidity is monitored to exceed the threshold value, 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, including:

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

[0016] When the humidity event type is persistent high humidity state, call the touch service interface, and raise the touch-recognized capacitance signal judgment reference to the median interval of the touch sensitivity adjustment parameter range;

[0017] When the humidity event type is sudden humidity peak state, call the touch service interface, raise the capacitance signal judgment reference to the upper limit value of the touch sensitivity adjustment parameter range, lock the local response area of the screen, and generate an environment adaptation state prompt identifier on the mobile terminal interface;

[0018] When the humidity event type is gradient rising humidity state, dynamically interpolate and adjust the capacitance signal judgment reference according to the real-time humidity gradient ratio, and trigger the down operation;

[0019] Generate a countdown control signal based on the effective duration, and after reaching the effective duration, call the system interface to reset all touch parameters to the default value.

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

[0021] The air conditioner performs the following operations:

[0022] The temperature data in the room is analyzed to obtain the indoor temperature distribution, and the image data in the room is analyzed to obtain the position coordinates of the user in the room;

[0023] Based on the indoor temperature distribution and the position coordinates of the user, the spatial coordinates of the optimal temperature zone are generated;

[0024] The temperature zone information is sent to the mobile terminal, and the temperature zone information includes the function area name of the optimal temperature zone and the comfort evaluation result of the optimal temperature zone based on temperature gradient analysis, wherein the function area name of the optimal temperature zone is obtained according to the indoor furniture recognition result and the past user behavior;

[0025] A visual mapping diagram including the optimal temperature zone and the indoor temperature distribution is generated, and the visual mapping diagram is transmitted to the mobile terminal;

[0026] The optimal temperature zone is determined based on the preset indoor comfortable temperature range and the temperature zone position.

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

[0028] The visual mapping diagram is rendered and displayed, and the function area name of the optimal temperature zone and the comfort evaluation result of the optimal temperature zone are displayed;

[0029] The position coordinates of the user are obtained, and the spatial straight-line distance between the position coordinates of the user and the geometric center of the optimal temperature zone is calculated;

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

[0031] A plurality of guide arrow marks pointing to all the optimal temperature zones are displayed in the visual mapping diagram, and distance numerical prompt information of the current position of the user and the optimal temperature zone is generated;

[0032] A distance monitoring countdown is started, and if it is detected that the user does not move the position within a plurality of time lengths, it is determined whether the user has the intention to move:

[0033] If the user selects automatic adjustment, the optimal temperature zone adjustment instruction is sent to the air conditioner, so that the air conditioner adjusts the outlet temperature and the air speed according to the current area of the user until the standard of the optimal temperature zone is reached;

[0034] If the user chooses to go to the optimal temperature zone by himself, when the user enters any optimal temperature zone, a prompt sound is played and the optimal temperature zone identifier is displayed.

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

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

[0037] If the sofa / coffee table furniture feature is identified, and the human body static sitting posture behavior feature exists in the first range, the function area name in the first range is set as the rest area;

[0038] If the dining table / dining chair furniture feature is identified, and the human body dining action behavior feature exists in the second range, the function area name in the second range is set as the dining area;

[0039] If the bed / bedding furniture feature is identified, and the human body lying posture behavior feature exists in the third range, the function area name in the third range is set as the sleeping area.

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

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

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

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

[0044] The second control instruction includes: interrupting the current process in the mobile terminal operating system and executing a system-level response:

[0045] Bypass the screen lock state to forcibly activate the mobile terminal display screen, retrieve the indoor passage structure model pre-stored in the local database, and superimpose the preset escape passage diagram on the top layer of the screen;

[0046] According to the spatial relationship between the user's real-time positioning coordinates and the location of the heat source, calculate the optimal obstacle avoidance path, render a directional arrow in the interface, and change the color of the arrow with the risk level of the path;

[0047] Calibrate the spatial coordinates of fire extinguishers and first aid kits in the building model, and generate a polar coordinate direction prompt box with the user's location as the origin.

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

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

[0050] When the signal strength drops to a first signal threshold, mark the current position as a start point of an escape path;

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

[0052] If the signal strength is zeroed and lasts for a time threshold before the countdown ends, mark the signal disappearance point coordinates as a candidate point of an escape exit;

[0053] According to the signal connection path, generate an unobstructed path from the start point of the escape path to the candidate point of the escape exit;

[0054] When a number of signal disappearance events generated by mobile terminals in the same area are accumulated, upgrade the candidate point of the escape exit to an official escape exit identifier.

[0055] Preferably, according to user behavior habit 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 start and stop timing of the air conditioner, which includes:

[0056] The mobile terminal acquires user behavior habit data, which includes alarm trigger time points and historical departure time points;

[0057] The air conditioner feeds back air conditioner performance parameters and indoor and outdoor environmental variables to the mobile terminal in real time;

[0058] The mobile terminal establishes a morning activity duration benchmark model based on user behavior habit data, and when the predicted departure time point is reached:

[0059] The mobile terminal analyzes the air conditioner performance parameters to obtain the decay rate of the current indoor refrigeration efficiency, and calculates the optimal shutdown time point that meets the preset comfort degree critical interval based on the morning activity duration benchmark model, the decay rate of the current indoor refrigeration efficiency and the indoor and outdoor environmental variables;

[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 actual departure time of the user is earlier than the optimal shutdown time point, it immediately sends an emergency shutdown instruction to the air conditioner, and updates the morning activity duration benchmark model according to the actual departure time.

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

[0063]

[0064] Where ΔT base represents the morning activity duration, represents the actual departure time point on the i-th day, represents the actual time point of going out on the i-th day, and N represents the number of valid historical data days.

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

[0066] The application realizes comprehensive and real-time control of the indoor environment by real-time monitoring of indoor environmental parameters by the air conditioner, provides a data basis for subsequent precise regulation and 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 regulation instruction to adjust the touch response sensitivity parameter of the mobile terminal when the indoor humidity exceeds the threshold value, the intelligent linkage between the air conditioner and the mobile terminal is realized, the operation experience of the user in a high humidity environment is improved, the false touch is reduced, and the practicability of the equipment is improved. By generating optimal temperature zone information based on environmental parameters and indoor comfort level settings and pushing it to the mobile terminal, while receiving user feedback of the optimal temperature zone regulation instruction, personalized temperature zone regulation is realized, the comfort needs of different users are met, and user satisfaction is improved. By responding to the sudden risk events identified by the air conditioner, a second regulation instruction is sent to trigger the mobile terminal to forcibly display a preset emergency information interface, rapid emergency response is realized, and the user can timely obtain key information in a sudden risk event, and personal safety is ensured. By sending a third regulation instruction from the mobile terminal to the air conditioner to control the start-stop timing of the air conditioner according to user behavior habit data, air conditioner performance parameters and indoor and outdoor environmental variables, intelligent and personalized air conditioner start-stop control is realized, energy utilization is optimized, and user life convenience is improved. BRIEF DESCRIPTION OF DRAWINGS

[0067] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only illustrate the embodiments of the application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of the provided drawings.

[0068] Figure 1 is a flowchart of the interactive control method of the intelligent air conditioner and the mobile terminal provided by the embodiments of the application. DETAILED DESCRIPTION

[0069] The embodiments of the application will be described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the application, and cannot be understood as a limitation of the application.

[0070] In the present application, the terms "comprising", "containing" or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements, but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0071] An intelligent air conditioner and mobile terminal interactive control method, as shown in Figure 1 A preferred embodiment of the present application, the intelligent air conditioner and mobile terminal interactive control method comprises the following steps:

[0072] S1: The air conditioner monitors the indoor environmental parameters in real time, and the environmental parameters include 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 is measured by a temperature sensor, commonly a thermistor, which measures the change in resistance value with temperature. Image data is captured by a camera, which can use a CMOS image sensor to convert optical signals to electrical signals to obtain indoor scene images.

[0074] In an embodiment, the air conditioner serves as the execution subject. After starting the monitoring function, the humidity sensor detects the indoor humidity value at a preset frequency (such as once per minute); the temperature sensor measures the indoor temperature in real time or at regular intervals (such as every 30 seconds); and the camera captures indoor images at certain time intervals (such as every 30 seconds), thereby comprehensively and dynamically grasping the indoor environmental conditions. For example, when the user is active in the room, the camera can capture information such as the person's movements and position, which together with the temperature and humidity data reflect the overall indoor environment.

[0075] S2: Establish a communication connection between the air conditioner and the mobile terminal. When the indoor humidity is detected to exceed the threshold value, 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;

[0076] The communication connection can be based on wireless communication technologies such as Wi-Fi, Bluetooth or infrared, to realize data interaction 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 relates to the speed of the mobile terminal screen in response to user touch operations, which can be measured by the sampling rate of the touch screen.

[0077] In an embodiment, the air conditioner and the mobile terminal are connected in various ways. For example, the user searches through the smart home APP on the mobile terminal, searches and connects to the air conditioner in the same LAN, and completes pairing using Wi-Fi technology to establish a TCP / IP connection. Then, the air conditioner continuously monitors the humidity, and once the humidity exceeds the threshold value (such as more than 70% of the pre-set value), 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, the operating system adjusts the related parameters of the touch screen driver according to the instruction content, and changes the touch response sensitivity. For example, it reduces the sampling rate to make the touch operation response relatively slow, avoiding user errors caused by hand sweating in high humidity.

[0078] For example, during the Huangmei period, the indoor humidity rises sharply to 80%, and the air conditioner monitors it and sends the first control instruction to the user's mobile phone through Wi-Fi. The original touch control response sensitivity parameter of the user's mobile phone is high sensitivity (sampling rate 120Hz), and after receiving the instruction, the parameter is adjusted to medium sensitivity (sampling rate 60Hz), reducing the user's misoperation caused by hand slipping due to high humidity.

[0079] S3: Based on the environmental parameters and the indoor comfort setting, the air conditioner generates the best temperature zone information and pushes it to the mobile terminal, and receives the best temperature zone control instruction fed back by the user through the mobile terminal;

[0080] The best temperature zone information is the most suitable temperature range calculated by the air conditioner based on the current indoor environmental parameters (temperature and humidity, personnel activity state obtained from image data analysis, etc.) and the pre-set comfort value (such as the comfort temperature range formed by considering the comfort temperature range of different age and health status of the population based on human physiology and thermal comfort theory). The best temperature zone control instruction is the instruction generated and sent by the mobile terminal to the air conditioner for adjusting the operating state after the user operates the air conditioner temperature, wind speed, mode, etc.

[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, and the number of indoor personnel and activity intensity (such as sitting, moving, etc.) identified through image recognition, and uses a specific algorithm (such as a neural network algorithm trained by a large amount of indoor environment and human comfort feedback data) to calculate the best temperature zone. Then, with the help of the communication module, the temperature zone information is pushed to the user in the form of text, charts, etc. through the mobile terminal APP. After the user views it, if there is a need for adjustment, such as feeling that the lower limit of the temperature zone is too low, the user can operate through the APP interface, such as sliding the temperature adjustment bar. The mobile terminal generates the best temperature zone control instruction containing temperature and operating mode modification according to this, and sends it back to the air conditioner. For example, the original best temperature zone push is 22-24°C, automatic mode, and the user changes it to 23-25°C, silent mode, forming the control instruction sent.

[0082] S4: In response to the air conditioner identifying a sudden risk event, 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] The sudden risk event covers indoor fire (judging by monitoring smoke concentration through the smoke sensor of the air conditioner), sudden illness of people (monitoring abnormal posture changes such as falling down of people through the camera, and combining physiological monitoring device data if such device is connected), gas leakage (detecting gas concentration by relying on the gas sensor), and other emergency situations that may endanger personal safety and property. The second control instruction is a data instruction with high priority and specific identification, which is used to inform the mobile terminal to enter the emergency state. The emergency information interface is a special interface that is previously set on the mobile terminal, containing emergency disposal guidelines (such as fire escape route, first aid method text and diagram), emergency contact dialing button, brief explanation of risk events, and other contents.

[0084] For example, in the air conditioner, various sensors monitor corresponding risk factors in real time. Taking fire as an example, the smoke sensor is based on the light scattering principle. When it detects that the smoke concentration exceeds the safety threshold (such as setting the threshold to 0.1 dB / m), it is determined that a fire risk event occurs. At this time, the air conditioner immediately generates a second control instruction, and sends it to the mobile terminal according to the communication protocol through the previously established communication connection (such as 4G Internet of Things communication, automatically switching when Wi-Fi is disconnected). After receiving the mobile terminal, the operating system identifies the high priority of the instruction, interrupts other running applications (such as games, video playback, etc.), calls the emergency information interface related program, and forcibly displays the emergency information interface in full screen to ensure that the user can obtain emergency guidance in the first time. For example, after the interface pops up, it displays the text warning "Indoor smoke concentration is too high, suspected fire!" with indoor simple plane marked with safe exit position and escape route arrow.

[0085] S5: According to the user behavior habit 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-stop timing.

[0086] The user behavior habit data includes time regularity of the user using the air conditioner daily (such as starting the air conditioner in heating mode at 7-8 o'clock after getting up every day, and turning off at about 10 o'clock at night, etc., which is obtained by long-term recording of APP operation timestamp data through the mobile terminal), temperature preference setting (commonly set temperature value, such as 26℃ in winter and 24℃ in summer), and use scene (operation habit difference in different modes of home and office). The air conditioner performance parameters cover technical indexes such as refrigeration / heating power, energy efficiency ratio, power consumption in different operation modes, and operation noise of the air conditioner, which are stored in the air conditioner and can be read by the mobile terminal through communication connection. In addition to the monitored parameters such as indoor temperature and humidity, the indoor and outdoor environmental variables also include outdoor temperature (which can be obtained by the mobile terminal from a meteorological API), outdoor air quality (also obtained from a related environmental monitoring data interface), and light intensity. The third control instruction is generated by the mobile terminal based on comprehensive analysis of these data, and includes the specific time point or period of turning on and off the air conditioner.

[0087] For example, in the mobile terminal, the smart home APP collects user behavior habit data, stores it in the local database and analyzes its regularity regularly. At the same time, the APP communicates with the air conditioner to obtain its performance parameters, and obtains indoor and outdoor environmental variables from external interfaces. For example, through analysis, it is found that the user usually leaves home at 7:30 am on weekdays and returns home at 18:30 pm, and prefers to set the air conditioner to 26℃ cooling mode after returning home. Combined with the air conditioner cooling power, the current outdoor temperature of 30℃, the estimated initial indoor temperature of 28℃ (estimated according to the heat insulation of the house, etc.), and the indoor and outdoor temperature difference variation law, etc., the intelligent algorithm (such as an algorithm based on time series prediction combined with an air conditioner thermodynamic model) is used to calculate that in order to ensure that the indoor temperature reaches the comfortable 26℃ when the user returns home, the air conditioner needs to be turned on 30 minutes in advance. Therefore, the third control instruction is generated at 18:00 and sent to the air conditioner to control it to turn on. If the outdoor temperature suddenly drops, etc., the algorithm re-evaluates and adjusts the start-stop time sequence accordingly. Alternatively, the user habit is to stay at home all day on weekends, and according to the temperature demand variation law in different sleep and activity periods, multiple start-stop time periods are generated and sent to the air conditioner.

[0088] Preferably, when it is monitored that the indoor humidity exceeds the threshold value, the air conditioner sends the first control instruction to the mobile terminal to adjust the sensitivity parameter of the touch response of the mobile terminal, which includes:

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

[0090] The humidity event type includes persistent high humidity state, sudden wet peak state and gradient rising humidity state.

[0091] The humidity change feature refers to the fluctuation law of indoor humidity, such as the humidity value being higher than the threshold value for a continuous period of time, the humidity rising sharply within a short time, the humidity gradually rising at a certain gradient until exceeding the threshold value, etc. The humidity event type is a classification definition of the humidity change feature, including a persistent high humidity state (such as the indoor humidity exceeding 70% for more than 1 hour), a sudden humidity peak state (such as the humidity rising sharply exceeding the threshold value within a short time, like after pouring a large amount of water into the room), and a gradient rising humidity state (the humidity gradually rising at a stable rate to exceed the standard). The touch sensitivity adjustment parameter range refers to the specific interval in which the touch response sensitivity of the mobile terminal can be adjusted. The effective duration refers to the length of time for which the first control instruction is executed to adjust the touch sensitivity parameter and continues to be effective in the mobile terminal.

[0092] In an embodiment, the air conditioner serves as the execution subject, and its built-in humidity sensor monitors the indoor humidity in real time. When the humidity exceeds the threshold value, the air conditioner determines the humidity change feature at that moment. For example, by analyzing the data continuously transmitted by the humidity sensor, a difference algorithm is used to calculate the humidity change rate. If it is found that the humidity is continuously higher than the threshold value and the time accumulation reaches 1 hour, it is determined to be a persistent high humidity state. If the humidity instantaneously rises above the threshold value and the change rate is much greater than the normal fluctuation range, it is determined to be a sudden humidity peak state. If the humidity gradually rises at a stable rate (such as an increase of 1% humidity value per minute) to exceed the standard, it is a gradient rising humidity state. According to the determined humidity event type, the air conditioner calls a preset instruction generation module, which generates a corresponding first control instruction according to the humidity event type and the control parameter mapping table. For example, for the 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 (such as the original sensitivity of 120Hz, the adjustment range is 60Hz to 84Hz), and the effective duration is 15 minutes. After the instruction containing these information is generated, it is transmitted to the mobile terminal through the communication connection.

[0093] In summary, through 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 value, a rapid response to the high humidity environment is achieved, effectively improving the user's experience in the high humidity environment. Secondly, the air conditioner generates a first control instruction containing the humidity event type, the touch sensitivity adjustment parameter range, and the effective duration according to the humidity change feature, so that the mobile terminal can make precise touch response adjustments according to different humidity conditions, improving the intelligence level and adaptability of the device. Thirdly, the instruction is transmitted to the mobile terminal through the communication connection, ensuring timely information transmission and efficient cooperation between devices. Finally, this method can adjust the touch sensitivity of the mobile terminal according to different humidity event types, which helps to reduce misoperation and improve the operation convenience of users in special environments and the practicality of the device.

[0094] Further, when the indoor humidity exceeds the threshold value, the air conditioner sends a first regulation instruction to the mobile terminal, and the sensitivity parameter of the touch response of the mobile terminal is adjusted, including:

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

[0096] When the humidity event type is a persistent high humidity state, the touch service interface is called, and the capacitive signal judgment reference is raised to the median interval of the touch sensitivity adjustment parameter range;

[0097] The touch service interface is a programming interface provided by the mobile terminal system for applications to adjust touch parameters and the like, and the capacitive signal judgment reference is a capacitive value standard for the touch screen to judge whether there is a touch operation and a touch position. Raising to the median interval means taking the middle part (such as 150pF-250pF) of the touch sensitivity adjustment parameter range (such as the capacitive value range 100pF-300pF) as the new judgment reference.

[0098] In an embodiment, during the South China rainy season, the indoor humidity remains at about 75% (threshold value 70%) for more than 3 days, and the air conditioner determines that it is a persistent high humidity state and sends a first regulation instruction to the mobile phone. After receiving the instruction, the mobile phone calls the touch service interface of the capacitive touch screen, raises the capacitive signal judgment reference from the original 100pF to the lower limit 150pF of the median interval 150pF-250pF, makes the touch recognition more accurate, and reduces the false touch caused by high humidity.

[0099] When the humidity event type is a sudden wet peak state, the touch service interface is called, the capacitive signal judgment reference is raised to the upper limit value of the touch sensitivity adjustment parameter range, the local response area of the screen is locked, and an environment adaptation state prompt identifier is generated on the mobile terminal interface;

[0100] The upper limit value of the capacitive signal judgment reference is the maximum value (such as 300pF) of the touch sensitivity adjustment parameter range, the local response area of the screen is locked, which limits the response function of the touch operation in a specific area of the screen (such as the screen frame area), and the environment adaptation state prompt identifier is an icon or text prompt displayed on the mobile terminal interface to inform the user that the current touch parameter has been adjusted to adapt to the high humidity environment, such as displaying the words "high humidity environment touch adaptation" or a special icon in the notification bar.

[0101] When the humidity event type is a gradient rising wet state, the capacitive signal judgment reference is dynamically interpolated and adjusted according to the real-time humidity gradient ratio, and a down-regulation operation is triggered;

[0102] A countdown control signal is generated based on the effective duration, and after the effective duration 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, and is used to reflect the speed of humidity change. The dynamic interpolation adjustment is to calculate the adjustment value of the capacitance signal judgment reference according to the ratio and a specific algorithm (such as a linear interpolation algorithm). The trigger down-regulation operation refers to reducing the capacitance signal judgment reference according to the calculated adjustment value, so that the touch sensitivity adapts to the humidity change. The effective duration is the time length of the touch parameter adjustment taking effect as specified by the first regulation instruction, the countdown control signal is used to time the effective duration, and the system interface reset is to call the interface provided by the mobile terminal system to restore the default parameters, so as to restore all touch parameters to the state before adjustment.

[0104] For example, in the plum rain season, the indoor humidity starts to gradually rise at a rate of 5% per hour (threshold 70%), and the air conditioner determines that it is in a gradient rise humidity state and sends an instruction to the mobile phone. The mobile phone dynamically interpolates and adjusts the capacitance signal judgment reference according to the real-time humidity gradient ratio, the initial capacitance signal judgment reference is 100 pF, the touch sensitivity adjustment parameter range is 100 pF-300 pF, the real-time humidity gradient ratio is 0.6, the new judgment reference is calculated by linear interpolation as 100 pF+0.6×(300 pF-100 pF) = 220 pF, and the touch parameter adjustment module is lowered to 220 pF. After 20 minutes of effective duration, it is automatically reset, and the capacitance signal judgment reference and touch parameters are reset to the initial default value of 100 pF.

[0105] In summary, the mobile terminal can make accurate responses according to different humidity event types. For example, in a persistent high humidity state, by calling the touch service interface and reasonably adjusting the capacitance signal judgment reference, the problem of false touch caused by high humidity is effectively avoided, and the operation reliability of the device in harsh environments is significantly improved. Secondly, in a sudden humidity peak state, not only can the capacitance signal judgment reference be quickly raised to the upper limit value to achieve optimal control of touch sensitivity, but also the accuracy and convenience of user operation are comprehensively guaranteed by locking the local response area of the screen and generating an environment adaptation state prompt identifier, greatly enhancing the user experience. Thirdly, for the gradient rise humidity state, dynamic interpolation adjustment is made with the help of the real-time humidity gradient ratio, making the touch sensitivity adjustment more refined, and fully demonstrating the high adaptability and intelligent response capability of the device. Finally, the design of the countdown control signal based on the effective duration, and the function of automatically resetting the touch parameters after expiration, not only provides a user-friendly and worry-free operating environment for users, but also further improves the stability of the system and the long-term operation capability of the device, ensuring the persistent good performance of the device in a changing environment.

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

[0107] The air conditioner performs the following operations:

[0108] The temperature data in the room is analyzed to obtain the indoor temperature distribution, and the image data in the room is analyzed to obtain the position coordinates of the user in the room;

[0109] Temperature data analysis can be performed by collecting multi-point temperature data from a built-in temperature sensor network, using heat conduction equations and interpolation algorithms (such as inverse distance weighted interpolation) to calculate the temperature of each area in the room, forming a temperature distribution matrix. Image data analysis is based on human detection algorithms (such as YOLO algorithm based on deep learning) to identify user positions in pixel coordinates or actual coordinates (converted through calibration).

[0110] For example, the air conditioner is equipped with multiple high-precision temperature sensors, which collect temperature data in real time according to a preset layout (such as in the four corners of the room, central position, etc.). These data are transmitted to the central processor of the air conditioner, which uses the inverse distance weighted interpolation method to calculate the temperature of each position in the room based on the position of the sensor and the collected temperature value, thereby obtaining the indoor temperature distribution matrix. At the same time, the wide-angle camera installed on the top of the air conditioner takes indoor images at a set time interval (such as every 30 seconds) with a resolution of no less than 1280x720 pixels. The image recognition module uses a convolutional neural network (CNN) algorithm based on deep learning to detect humans and identify key points in the image, determining the user's position in the image. Through the calibration of the camera's intrinsic and extrinsic parameters, the image coordinates are converted into actual indoor space coordinates, obtaining the specific position coordinates of the user. For example, in a living room that is 5 meters long and 4 meters wide, the temperature sensors are located at the four corners (coordinates (0, 0), (5, 0), (5, 4), (0, 4)) and the center (2.5, 2), and the collected temperature data are 24°C, 25°C, 26°C, 24.5°C, and 25.5°C. Using the inverse distance weighted interpolation method, the temperature values of each 0.5m x 0.5m grid point in the room are calculated, forming a temperature distribution matrix. In the image taken by the camera, the user is located at image coordinates (640, 360), and through the calibration parameters, the actual indoor position coordinates are converted to (2.3, 1.8).

[0111] Based on the indoor temperature distribution and the position coordinates of the user, the spatial coordinate parameters of several optimal temperature zones are generated;

[0112] The spatial coordinate parameters of the optimal temperature zone refer to the specific position range of each optimal temperature zone in the room, which can be represented by the center coordinates and size parameters (radius, length, width, etc.) of geometric shapes (such as circles, ellipses, rectangles, etc.). The generation process needs to consider the indoor temperature distribution, user position, and preset comfortable temperature zone model.

[0113] The air conditioner inputs the parsed indoor temperature distribution matrix and user position coordinates to the comfortable temperature zone generation module. First, a basic temperature zone is preliminarily determined with the user position as the center, according to a preset comfortable temperature zone radius (such as 1.2 meters) and shape (such as a circle). Then, in combination with the indoor temperature distribution, the temperature gradient analysis algorithm is used to calculate the temperature change rate and direction. If the temperature distribution in the basic temperature zone is uneven or there is a region with a too large temperature gradient, the position and shape of the temperature zone are adjusted so as to cover the region with suitable temperature as much as possible. At the same time, according to the indoor furniture layout (obtained through pre-stored furniture position information or real-time recognition) and the user's activity range (based on past behavior data), several other optimal temperature zones are generated in other possible activity regions (such as the sofa area, dining table area, etc.) in the room. The spatial coordinate parameters of each temperature zone include the center coordinates, radius (for a circular temperature zone), or length, width, and direction (for an elliptical or rectangular temperature zone). For example, a circular temperature zone with a radius of 1.2 meters is generated with the user position (2.3, 1.8) as the center, and the center coordinates are (2.3, 1.8). Through temperature gradient analysis, it is found that the temperature in the direction of the window is lower, and the temperature in the direction of the heating radiator is higher, and there is a certain temperature gradient. In order to optimize the comfort, the temperature zone is slightly moved in the direction of the heating radiator, and the adjusted center coordinates are (2.4, 1.9), and the radius is still 1.2 meters. At the same time, two other circular temperature zones with a radius of 1.0 meter are generated in the sofa area (center coordinates (1.5, 3.0)) and the dining table area (center coordinates (3.5, 2.0)) of the living room, respectively.

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

[0115] The functional area name is used to identify the functional attributes of different regions in the room, such as "rest area", "work area", "entertainment area", etc. The indoor furniture recognition is to recognize the types and positions of the furniture in the room through the images captured by the camera and the pre-stored furniture feature library, using image recognition algorithms (such as SIFT feature matching or deep learning target detection algorithms). The past user behavior analysis is to record the user's activity trajectory, stay time, and operation behavior data in the room for a long time, and use data mining algorithms (such as clustering analysis, association rule mining, etc.) to analyze the user's activity patterns and preferences in different regions. The comfort evaluation is based on the temperature gradient (temperature change rate) and the preset comfortable temperature range (such as 24-26°C), to calculate the comfort score of the optimal temperature zone, usually expressed in percentage or grade.

[0116] For example, in a living room, the air conditioner determines the sofa position (coordinate (1.5, 3.0)), the desk position (coordinate (3.0, 2.5)) and the dining table position (coordinate (4.0, 1.5)) through the furniture recognition function. By analyzing the user's past behavior data, it is found that the user mainly watches TV and rests in the sofa area, mainly reads and works in the desk area, and mainly has meals and family gatherings in the dining table area. Therefore, these three areas are named as "rest area", "work and study area" and "dining and social area" respectively. In the generated optimal temperature zone, the comfort score of the rest area is 90 (temperature 25-26℃, temperature gradient 0.1℃ / m), the comfort score of the work and study area is 80 (temperature 24-25℃, temperature gradient 0.2℃ / m), and the comfort score of the dining and social area is 85 (temperature 25-26℃, temperature gradient 0.15℃ / m). These temperature zone information is sent to the user's mobile terminal, and the user can choose which area to perform activities according to the comfort score, and further adjust the temperature zone.

[0117] generate a visual mapping including the optimal temperature zone and the indoor temperature distribution, and transmit the visual mapping to the mobile terminal;

[0118] First, determine the display range and scale of the image, so that the entire indoor space can be completely displayed on one image. Then, according to the temperature distribution matrix, use the 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 the corresponding color value. For the optimal temperature zone, use a semi-transparent white or yellow contour line to plot it on the image, and display the function area name and comfort score in the temperature zone. At the same time, in order to more intuitively show the temperature change trend, draw isotherms or temperature gradient arrows. After completing the image drawing, encode the image data into PNG or JPEG format, and send it to the mobile terminal through Wi-Fi or Bluetooth communication connection.

[0119] wherein the optimal temperature zone is determined based on a preset indoor comfortable temperature range and a temperature zone position.

[0120] The preset indoor comfort temperature range can be determined according to human physiology and environmental science research, and is generally 24-26°C in summer and 20-22°C in winter, which can ensure that most people feel comfortable. The temperature zone position is determined according to the functional layout of the room and the use habits of the user. For example, the sofa area in the living room is defined as the resting area, and the coordinate range is set to (2.0-3.5 m, 2.5-4.0 m), which is usually the area where the user stays and rests for a long time, and the temperature comfort requirement is higher. The dining area is close to the dining table, and the reading area is close to the bookshelf. The setting of these positions is also based on the layout of indoor furniture and user behavior habits. The air conditioner calculates whether the temperature of each temperature zone is within the comfort range according to the preset parameters, combined with the real-time indoor temperature distribution and the user position coordinates, and generates the best temperature zone information based on this. For example, when the temperature of the resting area is about 25°C, which is within the preset comfort temperature range, the area is determined as one of the best temperature zones and is pushed to the user. In this way, the setting of the best temperature zone can accurately meet the comfort needs of the user at different indoor positions, and realize personalized temperature regulation.

[0121] In general, through the analysis of indoor temperature data and image data by the air conditioner, the indoor temperature distribution and the user's position coordinates are accurately obtained, providing solid and reliable data support for subsequent temperature zone regulation. Secondly, based on the comprehensive analysis of indoor temperature distribution and user position, the spatial coordinate parameters of several best temperature zones are intelligently generated, meeting the individual temperature zone needs of different users in various scenarios, and greatly improving the comfort of indoor environment. Furthermore, the temperature zone information including the functional area name and the comfort evaluation result is pushed to the mobile terminal, so that the user can quickly and intuitively obtain the indoor temperature zone details, and make accurate temperature zone selection according to their own needs. At the same time, with the help of the transmission and display of the visualization map, the user's intuitive perception of the indoor temperature zone distribution is further enhanced, making the temperature zone information more at a glance. Finally, since the best temperature zone is determined based on the preset indoor comfort temperature range and the temperature zone position, this method effectively ensures the scientificity and rationality of temperature zone division, and provides users with a better and more comfortable indoor environment experience.

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

[0123] render and display the visualization map, and display the functional area name to which the best temperature zone belongs and the comfort evaluation result of the best temperature zone;

[0124] Wherein, rendering refers to the mobile terminal performing graphic processing on the received visualization map data, so that it can be displayed in the form of intuitive images on the screen. The functional area name and the comfort evaluation result are key temperature zone information, which are used to guide the user to understand the comfort condition of different areas in the room.

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

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

[0127] The user's location coordinates can be obtained through the GPS module of the mobile terminal (outdoors) or Wi-Fi / Bluetooth indoor positioning technology (indoors). The spatial coordinates of the geometric center of the optimal temperature zone are provided by the air conditioner or calculated by the mobile terminal (according to the spatial coordinate parameters of the temperature zone). The spatial straight-line distance refers to the Euclidean distance between the user's current location and the geometric center of the temperature zone.

[0128] The location service module of the mobile terminal first obtains the user's current location coordinates. In an indoor environment, indoor positioning is performed through the connected Wi-Fi hotspot signal strength or Bluetooth Beacon, and the approximate location coordinates (x user ,y user ,z user ) of the user in the room are calculated. For each optimal temperature zone, the geometric center coordinates are extracted according to its spatial coordinate parameters (such as center coordinates (x center ,y center ,z center ) and shape). Then, using the distance formula between two points in three-dimensional space: The distance between the user and the geometric center of each optimal temperature zone is calculated. 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), and the geometric center coordinates of the optimal temperature zone "rest area" are (2.5, 4.0, 2.0), the calculated distance is

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

[0130] Display several guiding arrows in the visualization map, which point to all the optimal temperature zones, and generate distance numerical prompt information of the current location of the user and the optimal temperature zone;

[0131] The preset distance threshold value is a distance standard set according to the size of the indoor space and the comfort requirement of the user, which is used to determine whether the user is away from the optimal temperature zone. The guiding arrow mark is a graphical indication of the direction from the current location of the user to the optimal temperature zone. The distance numerical prompt information is displayed in the form of text or numbers to show the distance between the user and the optimal temperature zone.

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

[0133] Start the distance monitoring countdown, and if it is detected that the user does not move the position within a certain length of time, determine whether the user has the intention to move:

[0134] In a home environment, the user is watching TV at a location 2.5 meters away from the optimal temperature zone of the "rest area". The mobile terminal starts a 30-second distance monitoring countdown. Within the 30 seconds, the user does not change the position (the position change is 0 meters). After the countdown ends, the mobile terminal pops up a prompt box to ask the user's intention. The user selects "automatic adjustment", and the mobile terminal will send instructions to the air conditioner, so that the air conditioner adjusts the outlet temperature and air speed according to the current location of the user to improve the comfort of the area where the user is located.

[0135] If the user selects automatic adjustment, the optimal temperature zone adjustment instruction is sent to the air conditioner, so that the air conditioner adjusts the outlet temperature and air speed according to the current location of the user until the standard of the optimal temperature zone is reached;

[0136] The optimal temperature zone adjustment instruction is a control instruction generated by the mobile terminal according to user selection, and includes the coordinates of the current location of the user and the standard of the optimal temperature zone to be reached (such as a temperature range, a wind speed level, etc.). After receiving the instruction, the air conditioner adjusts the outlet temperature and the wind speed according to the environmental parameters of the current location and the preset comfortable temperature 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 according to the coordinates of the current location of the user and the standard parameters of the optimal temperature zone (such as a comfortable temperature range of 24-26°C and an automatic wind speed mode). The data packet is sent to the air conditioner through a communication connection (such as Wi-Fi or Bluetooth). After receiving the instruction, the control module of the air conditioner calculates the outlet temperature and the wind speed parameters to be adjusted according to the temperature sensor data near the current location of the user and the preset comfortable temperature zone model. For example, if the temperature at the current location of the user is 27°C, the air conditioner will lower the temperature of the corresponding outlet to 25°C and adjust the wind speed to medium speed, so that the temperature in the area of the user gradually decreases to the comfortable range of the optimal temperature zone. At the same time, the air conditioner monitors the temperature change in real time and dynamically adjusts the parameters until the optimal temperature zone standard is reached.

[0138] If the user chooses to go to the optimal temperature zone by himself / herself, the mobile terminal plays a prompt sound and displays the optimal temperature zone identifier when the user enters any optimal temperature zone.

[0139] The prompt sound is an audio signal played by the mobile terminal, which is used to inform the user that the optimal temperature zone has been entered. The optimal temperature zone identifier is a visual prompt in the form of a prominent graphic or text, which displays the name of the optimal temperature zone currently in and the comfort information.

[0140] For example, after the user selects the "go to the optimal temperature zone by himself / herself" option in the prompt dialog box of the mobile terminal, the mobile terminal continuously monitors the location coordinates of the user. When the location coordinates of the user 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 a preset prompt sound (such as a "ding-dong" sound effect). At the same time, the UI control module displays the optimal temperature zone identifier on the screen, including the name of the temperature zone (such as "You have entered the rest area") and the current comfort evaluation result (such as "Comfort: 90 points"). For example, when the user enters the "rest area" on the APP interface of the mobile terminal, a semi-transparent green circular identifier with the text "Rest area, comfort: 90 points" pops up in the center of the screen, accompanied by the playing of the prompt sound, reminding the user that the optimal temperature zone has been entered.

[0141] Overall, the mobile terminal can render and display the visual map, while presenting the functional area name of the optimal temperature zone and the comfort assessment result, allowing users to have a clear understanding of the indoor temperature zone status, greatly improving the convenience and intuitiveness of information acquisition. Secondly, by obtaining the user's location and calculating the straight-line distance from the optimal temperature zone, the relative position relationship between the user and the temperature zone is accurately controlled, providing a key basis for subsequent personalized services. Thirdly, when the distance between the user and the optimal temperature zone exceeds the preset threshold, the device effectively guides the user to quickly locate and go to the optimal temperature zone by displaying a directional arrow mark and providing distance value prompt information, significantly improving the user's efficiency in finding a comfortable temperature zone. In addition, the function design of starting the distance monitoring countdown and judging the user's moving intention fully reflects the careful attention to user behavior and needs, allowing the device to respond in a timely manner based on the user's actual situation. Finally, whether the user chooses automatic adjustment or goes to the optimal temperature zone, the method can provide accurate services, such as remotely adjusting the air conditioner's outflow parameters to the optimal temperature zone standard or assisting the user in reaching the temperature zone through prompt sound and marks, fully ensuring that users can conveniently and comfortably enjoy the optimal temperature zone service, greatly improving user experience and the practicality of the device.

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

[0143] Based on image data, identify the type characteristics of surrounding furniture, and identify human behavior posture characteristics;

[0144] In an embodiment, the camera built into the air conditioner takes indoor images at certain time intervals (such as every 30 seconds) with a resolution of 1280x720 pixels or higher. The image recognition module uses a convolutional neural network (CNN) algorithm based on deep learning, such as YOLOv5 or ResNet, to process the images. The algorithm compares with the pre-stored furniture feature library to identify the type of furniture in the image. For example, a sofa may be identified as a large rectangular object with soft texture and a backrest feature; a dining table is identified as a horizontal object with a flat surface and table legs. The identified furniture type and its position coordinates are recorded to provide a basis for the generation of the functional area name. In addition, after identifying the furniture, the image recognition module of the air conditioner further analyzes the human behavior posture. Using human key point detection algorithms such as OpenPose, the joint positions of the human body in the image (such as the head, shoulders, elbows, hips, etc.) are identified. According to these joint positions and their relationships, the human behavior posture is determined. For example, if the hips are above the sofa surface and the body is in a vertical sitting position, it is determined to be a stationary sitting position; if the human body is lying on the bed profile, it is determined to be a lying posture; if the upper body is leaning forward and the hands are close to the dining table, it is determined to be a dining action. These behavior posture characteristics and their position coordinates are also recorded.

[0145] If the sofa / coffee table furniture feature is identified, and the human body static sitting posture behavior feature is present in the first range, the function area name in the first range is set as the rest area;

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

[0147] For example, if a user is detected to be in a static sitting posture within a 1.5-meter range around the sofa, the area is named as the “rest area”. This information will be sent to the mobile terminal together with the warm area information.

[0148] If the dining table / dining chair furniture feature is identified, and the human body dining action behavior feature is present in the second range, the function area name in the second range is set as the dining area;

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

[0150] For example, if a user is detected to be in a dining action within a 1.0-meter range around the dining table, the area is named as the “dining area”.

[0151] If the bed / bed mattress furniture feature is identified, and the human body lying posture behavior feature is present in the third range, the function area name in the third range is set as the sleeping area.

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

[0153] For example, if a user is detected to be in a lying posture within a 2.0-meter range around the bed, the area is named as the “sleeping area”.

[0154] In summary, through accurate identification of surrounding furniture type features and detailed analysis of human body behavior posture features, this method can achieve accurate division of different function areas in indoor environment, laying a solid foundation for personalized and scenario-based indoor environment services. Secondly, based on the sofa, coffee table furniture features and human body static sitting posture behavior features, the rest area is intelligently set, meeting the specific needs of users in leisure and relaxation scenarios, and improving the comfort and convenience of users during the rest period. Thirdly, based on the dining table, dining chair furniture features and human body dining action behavior features, the corresponding area is accurately defined as the dining area, which helps to optimize the user dining environment, so that the device can better serve the user's daily dining activities, and can enhance the user experience.

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

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

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

[0158] The camera built into the air conditioner captures indoor images in real time, and the image processing module uses spectral analysis technology to identify the characteristic wavelengths of flames (such as red and yellow bands in the visible light range). At the same time, through image sequence analysis, the diffusion pattern of smoke is monitored, including concentration change and flow direction. The temperature sensor network then collects temperature data in real time in the local space (such as the area with a radius of 2 meters centered on the camera), calculates the temperature rise rate per unit time (such as 0.5℃ per second), and synchronously processes these data to quickly identify risks in the early stages of fire.

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

[0160] The safety threshold refers to the upper limit of the safety of flame spectral characteristics, and exceeding this value may trigger a fire. The preset critical range refers to the upper limit of the safety of the temperature rise rate, and breaking through this range indicates that the heat accumulation is too fast, which may trigger a fire.

[0161] The air conditioner's fire identification module continuously monitors the flame spectral characteristics and temperature rise rate. When the flame spectral intensity exceeds the preset threshold (such as spectral intensity exceeding 300% of the background value) and the temperature rise rate exceeds the critical value (such as 1.0℃ per second), it is determined that a fire event has occurred.

[0162] Generate heat source coordinates and second control instructions, and send to mobile terminal;

[0163] The positioning module of the air conditioner determines the heat source coordinates of the flame or high temperature area through image analysis and sensor data fusion technology (such as using binocular cameras or depth sensors to calculate the position of the flame). The generated second control instruction contains information such as heat source coordinates and fire severity. Through the communication module (such as Wi-Fi or 4G communication), the second control instruction is sent to the mobile terminal, ensuring that the instruction can quickly reach the user's device.

[0164] The heat source coordinate refers to the spatial position of the flame or high-temperature area in the room, which can be represented in three-dimensional coordinates. The second control instruction is an instruction sent by the air conditioner to the mobile terminal to trigger an emergency response.

[0165] The second control instruction includes interrupting the current process in the mobile terminal operating system and executing a system-level response:

[0166] Bypassing the screen lock state to forcibly activate the mobile terminal display screen, retrieving the pre-stored indoor passage structure model from the local database, and superimposing the preset escape passage diagram on the top layer of the screen.

[0167] The screen lock state refers to the lock screen state of the mobile terminal, which usually requires user unlocking to operate. The indoor passage structure model is a pre-stored indoor layout diagram, including key path information such as corridors and exits. The escape passage diagram is a preset escape route diagram based on the indoor layout.

[0168] The emergency response module of the mobile terminal activates the screen unlock function, forcibly lights up the display screen, bypasses any password or biometric identification lock. Retrieve the pre-stored indoor passage structure model from the local database (such as the internal storage of the mobile phone), and superimpose the preset escape passage diagram (such as the path to the nearest exit) on the top layer of the screen to ensure that the user can clearly see the escape route.

[0169] According to the spatial relationship between the user's real-time positioning coordinate and the heat source position, calculate the optimal obstacle avoidance path, render a directional indication arrow in the interface, and the arrow color changes gradually with the path risk level;

[0170] The real-time positioning coordinate is the user's current accurate position in the room. The optimal obstacle avoidance path is the safest and shortest path from the user's position to the safe exit. The path risk level is the risk degree evaluated according to the obstacles (such as flames, smoke) that may be encountered on the path.

[0171] For example, the positioning module of the mobile terminal (such as using Wi-Fi signal strength or Bluetooth beacons) determines the user's position coordinate in real time. According to the heat source coordinate and the indoor layout, the path planning algorithm (such as A* algorithm) calculates the optimal obstacle avoidance path. Render a dynamic directional indication arrow on the display screen to guide the user to escape along the optimal path. The arrow color changes dynamically according to the path risk level (such as green for safety, yellow for medium risk, and red for high risk).

[0172] For the calculation of the optimal obstacle-avoiding path, an indoor grid map can be constructed first: the indoor environment is divided into grid cells, and according to the indoor layout and furniture arrangement, etc., it is determined which grid cells are passable and which are occupied by obstacles. For example, in a room, the floor area is divided into a plurality of square grids with a side length of 0.5 meters, and the grid cells where the walls, tables, chairs and other obstacles are located are marked, and the remaining grid cells are the passable area. Then the user's position is located: through the positioning technology of the mobile terminal (such as Wi-Fi signal strength positioning, Bluetooth beacon positioning or visual positioning, etc.), the current position coordinates of the user in the indoor grid map are determined. It is assumed that the user is located at grid coordinates (x_user, y_user).

[0173] Then the target position and obstacle information are determined, and the safe exit or the safe area away from the fire source is set as the escape target position, whose coordinates are (x_target, y_target). In addition to fixed indoor obstacles, the positions and influence ranges of dynamic obstacles such as flames and smoke also need to be determined according to the actual situation of the fire event. For example, according to the analysis of the flame spectrum characteristics and the smoke diffusion shape, the grid coordinate range of the area where the flame is located and the grid of the area where the smoke concentration is high are determined.

[0174] Then a cost function is defined for evaluating 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 the flame or smoke area), etc. For example, the distance cost can be the Euclidean distance between the centers of two grids; the risk cost can be determined according to the distance from the flame or smoke area, and the closer the distance, the higher the risk cost. Initialize the open list and the closed list, the open list is used to store the grid nodes to be evaluated, and the closed list is used to store the grid nodes that have been evaluated. Initially, the grid node where the user is located is added to the open list, and the closed list is empty.

[0175] Select the grid node with the minimum cost from the open list as the current node. The cost calculation formula is: F = G + H, where G is the actual moving cost from the user's position to the current node, and H is the heuristic estimated cost (such as Euclidean distance or Manhattan distance) from the current node to the target position.

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

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

[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 has been in the open list, but the G value of reaching the adjacent node through the current node is smaller, 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] From the target node, trace back along the parent node pointers to the node where the user is located, forming a path from the user's location to the target location. This path is the optimal obstacle avoidance path. According to the grid node coordinates on the path, calculate the movement direction and distance between adjacent nodes, generate specific walking direction indicators (such as left turn, right turn, straight ahead, etc.) and step length information.

[0183] Calibrate the spatial coordinates of fire extinguishers and first aid kits in the building model, and generate polar coordinate direction prompt boxes with the user's location as the origin.

[0184] Wherein, the building model refers to the three-dimensional model of the indoor environment, containing the positions of all key facilities and materials. The polar coordinate direction prompt box is a graphical interface element with the user's current location as the origin, indicating the direction and distance of the materials.

[0185] Overall, by real-time analyzing the flame spectral features, smoke diffusion patterns in image data, and synchronously monitoring the local space temperature rise, the fire is accurately and quickly perceived, providing key data support for timely and effective emergency response. Secondly, when the flame spectral features and temperature rise rate exceed the safe range, the fire event is quickly marked, and the heat source coordinates and second control command are generated and sent to the mobile terminal in time, ensuring the timely transmission of fire information and the rapid start of emergency response, and winning valuable time for user safety. Thirdly, the second control command prompts the mobile terminal operating system to interrupt the current process and execute system-level response, effectively avoiding the user's missed escape opportunity due to device delay response in an emergency, greatly improving the reliability and safety of the device in critical scenarios. In addition, by forcibly activating the mobile terminal display screen, calling the indoor channel structure model, and superimposing the escape passage diagram, the user is provided with a clear and intuitive escape guide, even in a chaotic fire environment, the user can quickly obtain the escape path, effectively reducing the difficulty and risk of escape. At the same time, according to the spatial relationship between the user and the heat source, the optimal obstacle avoidance path is calculated, and the direction is indicated by color-changing arrows, so that the user can understand the safety of the escape path in real time and intuitively, further improving the success rate of escape. Finally, the spatial coordinates of the fire extinguisher and first aid kit are calibrated in the building model, and a polar coordinate direction prompt box is generated, providing the user with accurate location information of key rescue equipment, which helps the user to quickly obtain rescue tools during the escape process, and comprehensively improves the emergency disposal ability and escape guarantee level.

[0186] Preferably, the escape passage diagram pre-drawn by the air conditioner is included in the emergency information interface, and the drawing of the escape passage diagram includes:

[0187] During the communication connection between the air conditioner and the mobile terminal, the signal strength of the communication connection is continuously monitored and the corresponding position coordinates are recorded;

[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 position coordinates are the spatial position of the mobile terminal in the room, which can be obtained by 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 determines its own position coordinates using built-in sensors (such as Wi-Fi signal strength, Bluetooth beacons, or accelerometers, etc.) and sends the position coordinates and corresponding RSSI values to the air conditioner through the communication connection. The air conditioner records these data and establishes a database of the corresponding relationship between signal strength and position. For example, in an office environment, the mobile terminal locates through Bluetooth beacons and sends the current coordinates and RSSI values to the air conditioner every 1 second, and the air conditioner stores these data for subsequent analysis.

[0190] When the signal strength drops to the first signal threshold, mark the current position as the escape path starting point;

[0191] The air conditioner analyzes the received RSSI values in real time. When it detects that the RSSI value has dropped to the first signal threshold (such as -75 dBm), it triggers the escape path starting point marking. At this time, the current position of the mobile terminal is recorded as the escape path starting point. For example, the air conditioner detects that the RSSI value has dropped from -60 dBm to -75 dBm, and marks the position coordinates of the mobile terminal at this time (such as (8, 2)) as the escape path starting point.

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

[0193] If the signal strength returns to zero before the countdown ends and lasts for a time threshold, mark the signal disappearance point coordinates as the escape exit candidate point;

[0194] Signal strength returning to zero means that the RSSI value reaches the lowest detectable level or completely loses signal. The time threshold is used to confirm the duration of signal disappearance, avoiding false judgments caused by temporary interference.

[0195] For example, if the RSSI value returns to zero (such as below -100 dBm) and lasts for a time threshold (such as 2 seconds) before the countdown ends, the air conditioner marks the last reported position coordinates of the mobile terminal as the escape exit candidate point. For example, during the last 1 second of the countdown, the RSSI value returns to zero and lasts for 2 seconds, and the last reported position coordinates of the mobile terminal (such as (12, 5)) are marked as the escape exit candidate point.

[0196] Generate an unobstructed path from the escape path starting point to the escape exit candidate 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 changes in signal strength and position coordinates. The unobstructed path refers to a path from the escape path starting point to the escape exit candidate point without obvious obstacles.

[0198] The air conditioner analyzes the recorded signal strength and position coordinate data, combines with indoor layout information (such as walls, furniture positions obtained from building plans, etc.), and generates an unobstructed path using path planning algorithms (such as A* algorithm or Dijkstra algorithm). For example, from the escape path starting point (8, 2) to the escape exit candidate 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 number of signal loss events generated by mobile terminals in the same area are accumulated, the escape exit candidate point is upgraded to a formal escape exit identifier.

[0200] The signal loss events of several mobile terminals refer to the case 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 occurring in the same area (such as a circular area with a radius of 2 meters centered on the escape exit candidate point). When the cumulative number reaches a set threshold (such as 5 times), the system upgrades the escape exit candidate point to a formal escape exit identifier. For example, within a week, 5 different mobile terminals report signal loss events near the coordinates (12, 5), and the air conditioner upgrades the point to a formal escape exit and displays it in the emergency information interface. The verification process of each signal loss event includes comparing time, position, and signal strength change pattern to ensure the validity of the event.

[0202] In summary, continuous monitoring of signal strength and recording of position coordinates during communication connection between the air conditioner and the mobile terminal accumulates detailed and critical basic data for the drawing of the escape passage map, ensuring the accuracy of the escape path. Secondly, by setting the first signal threshold to mark the escape path starting point, the starting position of the user entering the potentially dangerous area can be captured in time, providing a clear starting point basis for subsequent escape guidance. Furthermore, when the signal strength further decreases below the second signal threshold, the signal loss monitoring countdown is started, which effectively avoids false positives due to signal fluctuations and improves the accuracy of the escape exit candidate point marking. At the same time, when the signal strength is zero and the time threshold is continuously met before the countdown ends, the signal loss point coordinates are marked as escape exit candidate points, achieving accurate positioning of potential escape exits and providing reliable escape exit information for users. Finally, when multiple signal loss events generated by mobile terminals in the same area are accumulated, the escape exit candidate point is upgraded to a formal escape exit identifier, which ensures the reliability and effectiveness of the escape exit information, and the escape exit provided to users after multiple verifications is more credible, providing a solid guarantee for the safe evacuation of users in emergency situations.

[0203] Preferably, the mobile terminal sends a third control instruction to the air conditioner according to the user behavior habit data, the air conditioner performance parameters and the indoor and outdoor environment variables, and controls the air conditioner start-stop timing, which comprises:

[0204] The mobile terminal acquires the user behavior habit data, which comprises the alarm trigger time point and the historical departure time point.

[0205] The user behavior habit data refers to the data reflecting the user's daily behavior pattern, which comprises the alarm trigger time point (the time set by the user for the alarm) and the historical departure time point (the time record of the user's actual departure in the past). These data are used to predict the user's future departure time.

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

[0207] The air conditioner feeds back the air conditioner performance parameters and the indoor and outdoor environment variables to the mobile terminal in real time.

[0208] The air conditioner performance parameters comprise the refrigeration efficiency, the energy efficiency ratio, the current operation mode (cooling, heating, etc.), the running time, etc. The indoor and outdoor environment variables comprise the indoor temperature, the humidity, the outdoor temperature, the light intensity, etc.

[0209] The mobile terminal establishes a morning activity duration benchmark model based on the user behavior habit data, and when the predicted departure time point is reached:

[0210] The mobile terminal analyzes the air conditioner performance parameters to acquire the decay rate of the current indoor refrigeration efficiency, and calculates the optimal shutdown time point meeting the preset comfort critical interval based on the morning activity duration benchmark model, the decay rate of the current indoor refrigeration efficiency and the indoor and outdoor environment variables.

[0211] The decay rate of the refrigeration efficiency refers to the speed of the air conditioner refrigeration efficiency decreasing with time. The preset comfort critical interval refers to the user-acceptable indoor temperature range (such as 24℃-26℃). The optimal shutdown time point refers to the latest time point at which the indoor temperature can still be maintained in the comfort interval before the predicted departure time point after the air conditioner is turned off.

[0212] After the mobile terminal receives the air conditioner performance parameters, it parses the current cooling efficiency decay rate. In combination with the morning activity duration benchmark model (e.g., the predicted departure time is 8:15), the indoor and outdoor environmental variables (the current indoor temperature is 26°C, and the outdoor temperature is 30°C), the optimal shutdown time point is calculated by using the thermodynamic model and the time series prediction algorithm. For example, assuming that the indoor temperature rises by 1°C per hour after the air conditioner is turned off (calculated according to the decay rate and the indoor and outdoor temperature difference), to ensure that the indoor temperature does not exceed 26°C at the departure time of 8:15, the optimal shutdown time point is calculated to be 8:00. At this time, the air conditioner is turned off, and the indoor temperature rises from 25.5°C to 26°C during 8:00-8:15, which is just at the upper limit of the comfort interval.

[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 that the actual departure time of the user is earlier than the optimal shutdown time point through positioning, it immediately sends an emergency shutdown instruction to the air conditioner and updates the morning activity duration benchmark model according to the actual departure time.

[0215] The actual departure time refers to the time when the user actually leaves the indoor environment, which is detected by the positioning system (such as GPS or Wi-Fi positioning) of the mobile terminal. The emergency shutdown instruction is a control instruction for immediately turning off the air conditioner.

[0216] In an embodiment, the positioning monitoring module of the mobile terminal tracks the user's location in real time. When it detects that the user has left the indoor environment (such as by positioning coordinates exceeding the indoor range or by Bluetooth beacons leaving the indoor area), it records the actual departure time. If the actual departure time 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 includes this actual departure time in 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 departure time of 7:45 is added to the weekday departure time data set, and the mean is recalculated to be 74 minutes, and the standard deviation is recalculated to be 11 minutes.

[0217] In general, the mobile terminal acquires user behavior habit data, including alarm trigger time points and historical departure time points, providing data support for accurate prediction of user departure time, helping to achieve personalized regulation of air conditioner start-stop timing and improve user convenience. Second, the air conditioner provides real-time feedback of air conditioner performance parameters and indoor and outdoor environmental variables to the mobile terminal, enabling the mobile terminal to monitor air conditioner operating status and environmental information in real time, providing comprehensive and accurate data support for subsequent intelligent regulation. Third, based on user behavior habit data, a morning activity duration benchmark model is established to accurately predict user departure time, ensuring that air conditioner regulation is highly consistent with user actual needs, avoiding energy waste while providing a comfortable environment for users. By analyzing air conditioner performance parameters, combining the morning activity duration benchmark model, refrigeration efficiency decay rate, and indoor and outdoor environmental variables, the optimal shutdown time point is calculated scientifically, achieving fine-grained management of air conditioner operation, ensuring user comfort before departure and effectively saving energy consumption. Finally, if the mobile terminal detects that the user's actual departure time is earlier than the optimal shutdown time point, it immediately sends an emergency shutdown instruction and updates the morning activity duration benchmark model. This design fully reflects the ability to respond flexibly to changes in user behavior, avoiding unnecessary energy waste and further improving the system's intelligence level and energy utilization efficiency, achieving a win-win situation for user comfort and energy saving.

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

[0219]

[0220] where ΔT base represents the morning activity duration, represents the actual departure time point on the i-th day, represents the actual departure time point on the i-th day, and N represents the number of effective historical data days.

[0221] Specifically, it can analyze different individuals' living habits and behavior patterns. Everyone's morning activity is different. By collecting an individual's N days of effective historical wake-up data, the individual's activity duration benchmark from the time the alarm goes off to the time they finally leave the house can be accurately reflected. For example, for someone who exercises in the morning, this model can reflect their longer morning activity preparation time (such as putting on exercise clothes, warming up, etc.). For someone who simply washes up and leaves the house after waking up, the model can accurately determine their shorter morning activity duration benchmark.

[0222] In the description of the specification, reference to "one embodiment", "some embodiments", "an exemplary embodiment", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrases "in one embodiment", "in some embodiments", "in an exemplary embodiment", "an example", "a specific example", or "some examples" in various places in the specification are not necessarily referring to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0223] Although embodiments of the application have been shown and described, it will be appreciated that those skilled in the art can make various changes, modifications, substitutions and alterations thereto without departing from the principles and scope of the application, which are defined by the claims and their equivalents.

Claims

1. A method for interactive control between 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. Establish a communication connection between the air conditioner and the mobile terminal. When the indoor humidity exceeds the threshold, the air conditioner sends the first control command to the mobile terminal to adjust the sensitivity parameters of the 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 the optimal temperature zone control command from the user via the mobile terminal. In response to a sudden risk event detected by the air conditioner, the air conditioner sends a second control command to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface; Based on user behavior data, air conditioner performance parameters, and indoor and outdoor environmental variables, the mobile terminal sends a third control command to the air conditioner to control the air conditioner's start-stop sequence. When the indoor humidity exceeds the threshold, the air conditioner sends a first control command to the mobile terminal, adjusting the touch response sensitivity parameters of the mobile terminal, including: The air conditioner generates a first control command based on humidity change characteristics, including humidity event type, touch sensitivity adjustment parameter range, and effective duration, and transmits it to the mobile terminal via a communication connection. The humidity event types include persistent high humidity, sudden humidity peak, and gradient increasing humidity. When the indoor humidity exceeds the threshold, the air conditioner sends a first control command to the mobile terminal, adjusting the touch response sensitivity parameters of the mobile terminal, including: The mobile terminal responds to the first control command and performs the following operations: When the humidity event type is a continuous high humidity state, the touch service interface is invoked to raise the capacitive signal judgment benchmark of touch recognition to the median range 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 raise the capacitance signal judgment benchmark to the upper limit of the touch sensitivity adjustment parameter range, while locking the local response area of ​​the screen and generating an environment adaptation status prompt mark on the mobile terminal interface. When the humidity event type is a gradient rising humidity state, the capacitor signal judgment benchmark is dynamically interpolated 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 duration. After the effective duration is reached, the system interface is called to reset all touch parameters to their default values. 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 commands from the user via the mobile terminal, including: The air conditioner performs the following operations: Analyzing indoor temperature data yields the indoor temperature distribution; analyzing indoor image data yields the user's indoor location coordinates. Based on the indoor temperature distribution and the user's location coordinates, spatial coordinate parameters for several optimal temperature zones are generated. Temperature zone information is sent to the mobile terminal. The temperature zone information includes the functional area name of the optimal temperature zone and the optimal temperature zone comfort assessment result based on temperature gradient analysis. The functional area name of the optimal temperature zone is obtained based on the indoor furniture identification results and past user behavior. Generate a visual mapping map including the optimal temperature zone and indoor temperature distribution, and transmit the visual mapping map to the mobile terminal; The optimal temperature zone is determined based on the preset indoor comfort temperature range and the location of the temperature zone.

2. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that, After receiving the temperature zone information, the mobile terminal performs the following operations: Render and display the visualization map, and show the name of the functional area to which the optimal temperature zone belongs and the comfort assessment results 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 straight-line distance in space is greater than a preset distance threshold: The visualization map displays several directional arrows pointing to all optimal temperature zones, and generates numerical information indicating the distance between the user's current location and the optimal temperature zone. Initiate a distance monitoring countdown. If the user does not move within a certain time period, determine whether the user intends to move. If the user selects automatic adjustment, an optimal temperature zone adjustment command is sent to the air conditioner, causing the air conditioner to adjust the air outlet temperature and fan speed according to the user's current location until the standard of the optimal temperature zone is reached. If the user chooses to go to the optimal temperature zone on their own, a prompt sound will be played and the optimal temperature zone icon will be displayed when the user enters any optimal temperature zone.

3. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that, The generation of functional zone names for the optimal temperature range includes: Based on image data, identify the characteristics of surrounding furniture types and human behavioral postures; If sofa / coffee table furniture features are detected, and there are also static sitting human behavior features within the first range, then the functional area name within the first range is set as rest area. If dining table / chair furniture features are identified, and human dining behavior features are also present within the second area, then the functional area name within the second area will be set as the dining area. If bed / mattress furniture features are identified, and human lying posture behavior features are also present within the third range, then the functional area name within the third range is set as the sleep area.

4. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 1, characterized in that, In response to a sudden risk event detected by the air conditioner, the air conditioner sends a second control command to the mobile terminal, triggering the mobile terminal to forcibly display a preset emergency information interface, including: Real-time analysis of flame spectral characteristics and smoke diffusion patterns in image data, and simultaneous monitoring of temperature rise changes per unit time in local space; When the flame spectral characteristics exceed the safety threshold and the temperature rise rate exceeds the preset critical range, it is marked as a fire event; Generate the coordinates of the heat source and the second control command, and send them to the mobile terminal; The second control command includes: instructing the mobile terminal's operating system to interrupt the current process and execute a system-level response. By 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 layer of the screen. Based on the spatial relationship between the user's real-time location coordinates and the location of the fire source, the optimal obstacle avoidance path is calculated, and directional arrows are rendered in the interface, with the arrow color changing progressively according to the path's risk level. The spatial coordinates of fire extinguishers and first aid kits are calibrated in the building model, and a polar coordinate orientation prompt box with the user's location as the origin is generated.

5. 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 a pre-drawn escape route map of the air conditioner. The drawing of the escape route map includes: During the communication connection between the air conditioner and the mobile terminal, the signal strength of the communication connection is continuously monitored and the corresponding location coordinates are recorded; When the signal strength drops to the first signal threshold, the current location will be marked as the starting point of the escape path; When the signal strength further decreases below the second signal threshold, the signal disappearance monitoring countdown is activated. If the signal strength drops to zero and continues to reach the time threshold before the countdown ends, the coordinates of the signal disappearance point will be marked as a candidate escape exit point. Generate an unobstructed path from the starting point of the escape path to the candidate escape exit point based on the signal connection path; When a number of signal loss events generated by mobile terminals in the same area are accumulated, the candidate escape exit point will be upgraded to an official escape exit marker.

6. 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 command to the air conditioner to control the air conditioner's start-stop sequence, including: Mobile terminals acquire user behavior data, which includes alarm clock trigger times and historical departure times. The air conditioner provides real-time feedback of its performance parameters and indoor and outdoor environmental variables to the mobile terminal. Mobile terminals establish a benchmark model for morning activity duration based on user behavior data. When the predicted departure time is reached: The mobile terminal analyzes the air conditioner performance parameters to obtain the decay rate of the current indoor cooling efficiency. Based on the morning activity duration benchmark model, the decay rate of the current indoor cooling efficiency, and indoor and outdoor environmental variables, it calculates the optimal shutdown time point that meets the preset comfort threshold range. The mobile terminal generates a third control command at the optimal shutdown time and sends it to the air conditioner. If the mobile terminal detects through location that the user's actual departure time is earlier than the optimal shutdown time, it immediately sends an emergency shutdown command to the air conditioner and updates the morning activity duration baseline model based on the actual departure time.

7. The interactive control method between an intelligent air conditioner and a mobile terminal according to claim 6, characterized in that, The baseline model for morning activity duration satisfies the following relationship: in, Indicates the duration of morning activities. This represents the actual time of departure on day i. This represents the actual time of departure on day i, and N represents the number of days of valid historical data.

Images