Intelligent air conditioner remote controller, control method thereof and electronic equipment

Abstract

The embodiment of the invention discloses an intelligent air conditioner remote controller, a control method thereof and electronic equipment, and relates to the technical field of intelligent household appliance control. The remote controller is characterized by comprising a sensing module, a signal processing module, a main control module and an infrared emission module; the sensing module is used for collecting physiological state information of a user and converting the collected information into electric signals to be output, the physiological state information comprises body action information and / or physiological parameters, and the collected information is converted into the electric signals to be output; the signal processing module is connected with the sensing module and is used for processing the electric signal output by the sensing module and transmitting the processed electric signal to the main control module; the main control module generates an air conditioner control instruction according to the received signal and sends the air conditioner control instruction to the air conditioner equipment through the infrared emission module.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent household appliance control, in particular to an intelligent air conditioner remote controller, a control method thereof and an electronic device. BACKGROUND

[0002] In recent years, air conditioner remote controllers, as an important tool for household appliance control, have been widely used in daily life. Traditional air conditioner remote controllers usually rely on key input parameters to control the running state of the air conditioner. However, in some special scenarios, some users may be unable to conveniently complete the operation of the air conditioner by pressing the buttons due to physical condition restrictions or environmental factors. For example, for disabled people with difficulty in movement or sick patients under guardianship, the operation mode of the traditional remote controller may not meet their needs. Therefore, developing an intelligent air conditioner remote device suitable for special groups can not only improve user experience but also better meet diversified needs.

[0003] In the prior art, air conditioner remote controllers mainly obtain user instructions through mechanical keys, which has certain limitations in flexibility and adaptability. On the one hand, traditional keys rely on manual operation and cannot fully consider the usage habits of special groups; on the other hand, traditional remote controllers usually do not have the function of collecting user physiological information and are difficult to realize intelligent control based on the state of the human body. In addition, for application scenarios that need to expand the control mode, the prior art lacks support for modular design, limiting the further expansion of its functions.

[0004] To solve the above problems, the present application proposes an intelligent air conditioner remote controller based on flexible materials. The sensing module on the remote controller can obtain control instructions by being pasted on any movable part of the human body, thereby providing convenience for people who are not convenient to use traditional remote controllers. At the same time, the present application uses a strain processing unit to replace traditional mechanical keys, realizing the innovation of the control signal acquisition method. In addition, with the characteristics of flexible materials, the remote controller can more conveniently collect physiological information such as the body temperature of the user, providing more possibilities for the intelligent control of the air conditioner. SUMMARY

[0005] The present application provides an intelligent air conditioner remote controller and a control method thereof, aiming to solve the limitations of traditional air conditioner remote controllers in special group usage scenarios and improve the intelligent level of air conditioner control.

[0006] In a first aspect, the present application provides an intelligent air conditioner remote controller, comprising a sensing module, a signal processing module, a main control module and an infrared emission module. The sensing module is used to collect physiological state information of a user and convert the collected information into an electrical signal output. The physiological state information includes body movement information and / or physiological parameters. The signal processing module is connected to the sensing module and used to process the electrical signal output by the sensing module and then transmit the processed signal to the main control module. The main control module generates an air conditioner control instruction according to the received signal and sends the instruction to an air conditioner device through the infrared emission module.

[0007] According to the present application, the sensing module can capture the body movement information or physiological parameters of a user in real time, such as hand movement trajectory or body temperature change, and convert them into an electrical signal output. The signal processing module processes the received electrical signal by filtering, amplifying, etc., eliminates noise interference and adjusts the signal amplitude to meet the input requirements of the main control module. The main control module receives the processed signal, generates an air conditioner control instruction based on a preset algorithm, and sends the instruction to the air conditioner device through the infrared emission module. This process realizes the function of air conditioner control without key operation, improves the use convenience of special groups, and provides a basic support for intelligent control.

[0008] Optionally, the sensing module and the air conditioner device are provided with a physiological state-air conditioner linkage rule. When the body movement information or physiological parameters of the user obtained by the sensing module exceeds a preset threshold, the air conditioner device is triggered to start a specific mode.

[0009] According to the present application, when collecting the physiological state information of a user, the sensing module can monitor whether the information exceeds a preset threshold in real time. For example, when the body temperature of a user exceeds a certain set value, the sensing module transmits the information to the main control module, and the main control module generates a corresponding air conditioner control instruction according to the physiological state-air conditioner linkage rule, triggering the air conditioner device to enter a cooling mode or adjust the wind speed. This linkage mechanism enables the air conditioner to automatically adjust the operating state according to the actual needs of the user, improving the user experience and comfort.

[0010] Optionally, the intelligent air conditioner remote controller further comprises a multi-modal sensing fusion module for fusing different types of physiological parameters of a user collected by the sensing module to generate a comfort adjustment demand of the user. The intelligent air conditioner remote controller further comprises a storage module storing current setting parameters and historical setting parameter data of each air conditioner start of a user. The main control module is configured to generate the air conditioner control instruction according to the comfort adjustment demand and the current setting parameters and historical setting parameter data.

[0011] By the scheme, the multi-modal perception fusion module can comprehensively analyze multiple physiological parameters collected by the perception module, for example, combining the user's body temperature, heart rate and motion frequency to generate the user's comfort adjustment demand. The storage module records the user's set parameters each time the air conditioner is used to form historical data. The main control module generates the optimal air conditioner control instruction based on the current set parameters and historical set parameter data, combined with the user's comfort adjustment demand. For example, when the user's historical data shows that he prefers a lower indoor temperature, the main control module will give priority to this preference when generating the instruction, thereby realizing personalized control.

[0012] Optionally, the generating the air conditioner control instruction according to the comfort adjustment demand and the current set parameters and historical set parameter data comprises: when the parameter adjustment object of the comfort adjustment demand is more than the current set parameters, starting a specific mode of the air conditioner equipment based on a preset physiological state-air conditioner linkage rule; when the difference between the parameter adjustment target value of the comfort adjustment demand and the parameter value of the current set parameters is greater than a preset range, correcting the parameter adjustment target value based on the user habit represented by the historical set parameter data, wherein the current parameter adjustment target value is greater than the set value of the current set parameters, the current parameter adjustment target value is moderately reduced, the current parameter adjustment target value is less than the set value of the current set parameters, and the current parameter adjustment target value is moderately increased.

[0013] By the scheme, when the user's comfort adjustment demand involves multiple parameters, the main control module will preferentially start the preset physiological state-air conditioner linkage rule to ensure that the air conditioner equipment quickly responds to the user's demand. For example, when the user's body temperature is high and the heart rate is fast, the main control module will preferentially start the cooling mode and increase the wind speed. In addition, when the difference between the target value of the comfort adjustment demand and the current set parameters is large, the main control module will refer to the historical set parameter data and combine the user's use habit to correct the target value. For example, if the user is used to a lower indoor temperature, the target value is appropriately reduced when the target value is higher than the current set value, thereby realizing a control effect that is more in line with the user's preference.

[0014] Optionally, the perception module is made of a flexible base material, and the perception module is integrated with a strain sensing unit and a physiological parameter acquisition unit; the strain sensing unit is composed of multiple strain gauges, and each strain gauge is connected to the signal processing module through a wire; the physiological parameter acquisition unit includes a temperature sensor and a heart rate sensor for real-time monitoring of the user's body surface temperature and heart rate data.

[0015] By the scheme, the sensing module is made of flexible substrate material, which can be attached to the user's skin surface and enhance the wearing comfort. The multiple strain gauges in the strain sensing unit are distributed in different areas of the sensing module. When the user's body movement changes, the strain gauges deform and output corresponding electrical signals. The temperature sensor and the heart rate sensor in the physiological parameter acquisition unit respectively acquire the user's body surface temperature and heart rate data through contact measurement. These data are transmitted to the signal processing module through wires, providing raw data support for subsequent signal processing and control instruction generation. The application of flexible substrate material and the integration of multiple types of sensors enable the sensing module to comprehensively capture the user's body state information, laying a foundation for intelligent control.

[0016] Optionally, the signal processing module includes a filtering unit and an amplifying unit; the filtering unit is used to filter the electrical signals output by the sensing module to eliminate noise interference in the electrical signals; and the amplifying unit is used to adjust the gain of the filtered electrical signals to ensure that the amplitude of the electrical signals meets the input requirements of the main control module.

[0017] By the scheme, the filtering unit adopts a low-pass filter circuit design, which can effectively filter out high-frequency noise interference and retain useful components in the signal. The amplifying unit uses an operational amplifier to adjust the gain, which amplifies the filtered signal to ensure that its amplitude meets the input range requirements of the main control module. The collaborative work of the filtering unit and the amplifying unit ensures that the electrical signals output by the signal processing module have high signal-to-noise ratio and stability, providing reliable data support for the subsequent processing of the main control module.

[0018] Optionally, the main control module includes a microprocessor and a memory; the microprocessor is used to receive the electrical signals output by the signal processing module and generate air conditioner control instructions according to a preset algorithm; and the memory stores multiple control logics for adapting to different user control needs.

[0019] By the scheme, the microprocessor analyzes the received electrical signals and generates corresponding air conditioner control instructions in combination with the multiple control logics pre-stored in the memory. For example, when it is detected that the user's body surface temperature is higher than the set threshold, the microprocessor generates a cooling mode instruction; and when it is detected that the user's heart rate is abnormal, the microprocessor generates an instruction to reduce the air speed or turn off the air conditioner. The multiple control logics stored in the memory can be flexibly called according to the needs of different users, enhancing the adaptability and personalized service capability of the intelligent air conditioner remote controller.

[0020] Optionally, it further includes a power management module composed of a lithium battery and a charging circuit; the lithium battery is connected to an external power source through the charging circuit, and the charging circuit is provided with overcharge protection and overdischarge protection functions; and the power management module is connected to the sensing module, the signal processing module, the main control module and the infrared emission module through wires.

[0021] Through this scheme, the lithium battery in the power management module is connected with the external power supply through the charging circuit, and the charging circuit has built-in overcharge protection and overdischarge protection functions, which can effectively prolong the service life of the lithium battery. The power management module supplies power to the sensing module, signal processing module, main control module and infrared emission module through wires, ensuring the normal operation of each module. The design of the power management module optimizes the endurance and safety of the intelligent air conditioner remote controller, providing a guarantee for the long-term stable operation of the equipment.

[0022] Optionally, it also includes a wireless communication module connected with the main control module; the wireless communication module supports Bluetooth or Wi-Fi communication mode for realizing data interaction with external devices.

[0023] Through this scheme, the wireless communication module establishes a connection with external devices through Bluetooth or Wi-Fi, realizing real-time data interaction. For example, users can remotely view the current air conditioner running status through a smartphone application, or make personalized settings on the control logic of the intelligent air conditioner remote controller. The introduction of the wireless communication module expands the functional range of the intelligent air conditioner remote controller and enhances its compatibility with smart home systems.

[0024] Optionally, it also includes a fault detection module connected with the main control module; the fault detection module is used to monitor the working state of each functional module and send an alarm when an abnormality is detected.

[0025] Through this scheme, the fault detection module monitors the working state of the sensing module, signal processing module, main control module and infrared emission module in real time to determine whether there is an abnormal situation. For example, when the signal output of the sensing module is interrupted or the infrared emission module cannot normally send instructions, the fault detection module will send an alarm signal to the main control module and prompt the user through an indicator light or a buzzer. The design of the fault detection module improves the reliability of the intelligent air conditioner remote controller and provides users with a safer use experience.

[0026] Optionally, the sensing module has multiple different types of switchable sensing sub-modules, and the intelligent air conditioner remote controller further includes an expansion interface for connecting and switching different types of sensing modules, and the main control module is further used to adjust the control logic according to the type of the current sensing module.

[0027] Through this scheme, the expansion interface adopts a plug-in design, which can easily connect different types of sensing modules. For example, users can replace the sensing module with an acceleration sensor as needed to capture more complex body movement information. The main control module automatically adjusts the control logic according to the type of the current sensing module, ensuring that the intelligent air conditioner remote controller can adapt to the use requirements in different scenarios. The design of the expansion interface enhances the functional expansion capability of the intelligent air conditioner remote controller and improves its applicability.

[0028] In a second aspect, the present application provides a control method of an intelligent air conditioner remote controller, applied to the intelligent air conditioner remote controller of the first aspect above, comprising the following steps: collecting physiological state information of a user, and converting the collected information into an electrical signal output, the physiological state information including body action information and / or physiological parameters; generating an air conditioner control instruction based on the electrical signal; and sending the control instruction to an air conditioner device.

[0029] Through this scheme, the control method first collects body action information or physiological parameters of a user through a perception module, and converts them into an electrical signal. After the received electrical signal is filtered and amplified by a signal processing module, it is transmitted to a main control module. The main control module generates an air conditioner control instruction based on a preset algorithm, and sends the instruction to an air conditioner device through an infrared emission module. This control method realizes the complete process from user state perception to air conditioner control instruction generation, providing technical support for the practical application of the intelligent air conditioner remote controller.

[0030] Optionally, when no valid action signal is detected in the electrical signal, a low-power mode is entered; in the low-power mode, the infrared emission module and the signal processing module stop working; when a valid action signal is detected in the electrical signal, the infrared emission module and the signal processing module are reactivated, and the control logic corresponding to each module is executed.

[0031] Through this scheme, when the perception module does not detect a valid action signal, the intelligent air conditioner remote controller automatically enters a low-power mode, at which time the infrared emission module and the signal processing module stop working to reduce energy consumption. When the perception module detects a valid action signal, the main control module reactivates the infrared emission module and the signal processing module, and restores the normal operation of each module. The design of the low-power mode optimizes the energy utilization efficiency of the intelligent air conditioner remote controller, prolonging the device's endurance time.

[0032] Optionally, it further comprises adjusting the operation mode of the air conditioner according to the data output by the physiological parameter acquisition unit; when it is detected that the body surface temperature of the user is lower than a set threshold, ignoring the cooling request generated by the air conditioner in a unit time; when it is detected that the body surface temperature of the user is higher than the set threshold, ignoring the heating request generated by the air conditioner in a unit time.

[0033] Through this scheme, the main control module dynamically adjusts the operation mode of the air conditioner according to the body surface temperature data output by the physiological parameter acquisition unit. For example, when it is detected that the body surface temperature of the user is lower than a set threshold, the main control module will ignore the cooling request to avoid excessive cooling; when it is detected that the body surface temperature of the user is higher than the set threshold, the main control module will ignore the heating request to prevent the indoor temperature from being too high. This mechanism realizes intelligent adjustment based on the physiological state of the user, improving the comfort and energy-saving effect of air conditioner use.

[0034] According to a third aspect of the embodiments of the present application, the present application provides an electronic device, comprising a memory and a processor, which are connected to each other in communication, the memory stores computer instructions, and the processor executes the computer instructions to perform the control method of the intelligent air conditioner remote controller according to the first aspect or any one of the corresponding embodiments.

[0035] According to a fourth aspect of the embodiments of the present application, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are run by a processor to implement the control method of the intelligent air conditioner remote controller according to any one of the above aspects.

[0036] According to a fifth aspect of the embodiments of the present application, the present application provides a computer program product or a computer program, which comprises a computer program stored in a computer readable storage medium, and the processor of the computer device reads the computer program from the computer readable storage medium, and the processor executes the computer program to implement the control method of the intelligent air conditioner remote controller according to any one of the above aspects.

[0037] According to a sixth aspect of the embodiments of the present application, the present application provides an intelligent air conditioner, which comprises the intelligent air conditioner remote controller according to the first aspect, or has the electronic device according to the fourth aspect, and adopts the control method of the intelligent air conditioner remote controller according to the second aspect.

[0038] The technical effects obtained by the above second to sixth aspects are similar to the technical effects obtained by the corresponding technical means in the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 Fig. 1 is a structural schematic diagram of the intelligent air conditioner remote controller provided by the embodiments of the present application; Figure 2 Fig. 2 is a specific structural schematic diagram of the intelligent air conditioner remote controller provided by the embodiments of the present application; Figure 3 Fig. 3 is a flow schematic diagram of the control method of the intelligent air conditioner remote controller provided by the embodiments of the present application; Figure 4 Fig. 4 is a structural schematic diagram of the electronic device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0040] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application, so that those skilled in the art can better understand the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work should fall within the scope of protection of the present application.

[0041] It should be understood that "multiple" mentioned herein refers to two or more. In the description of the embodiments of the present application, unless otherwise specified, " / " represents the meaning of or, for example, A / B can represent A or B; "and / or" herein is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent: A exists alone, A and B exist together, and B exists alone. In addition, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, "first", "second" and the like are used to distinguish the same items or similar items with basically the same function and role. Those skilled in the art can understand that "first", "second" and the like do not limit the quantity and execution order, and "first", "second" and the like do not necessarily mean different.

[0042] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0043] As in the background art, in recent years, air conditioner remote controllers have been widely used in daily life as an important tool for controlling household appliances. Traditional air conditioner remote controllers usually rely on key input parameters to achieve control over the running state of air conditioners. However, in some special scenarios, some users may be unable to conveniently complete the operation of air conditioners by pressing buttons due to physical condition restrictions or environmental factors. For example, for disabled people with difficulty in movement or sick patients under guardianship, the operation mode of traditional remote controllers may not meet their needs. Therefore, developing an intelligent air conditioner remote control device suitable for special groups can not only improve user experience, but also better meet diversified needs.

[0044] In the prior art, the air conditioner remote controller mainly obtains user instructions through mechanical buttons, which has certain limitations in flexibility and adaptability. On the one hand, traditional buttons rely on manual operation and cannot fully consider the use habits of special groups; on the other hand, traditional remote controllers usually do not have the function of collecting user physiological information, and it is difficult to realize intelligent control based on human body state. In addition, for application scenarios that need to expand the control mode, the prior art lacks support for modular design, limiting the further expansion of its functions.

[0045] To solve the above problems, the present scheme proposes an intelligent air conditioner remote controller based on flexible materials, which can obtain control instructions by being pasted on any movable part of the human body, thereby providing convenience for people who are not convenient to use traditional remote controllers. At the same time, this scheme uses a strain processing unit to replace traditional mechanical buttons, realizing the innovation of control signal acquisition method. In addition, with the characteristics of flexible materials, the remote controller can more conveniently collect physiological information such as body temperature of the user, providing more possibilities for intelligent control of air conditioners.

[0046] The present application provides an intelligent air conditioner remote controller, and the present application provides an intelligent air conditioner remote controller and a control method thereof, as shown in Figure 1 The intelligent control of the air conditioning equipment is realized through the cooperative work of the sensing module 1, the signal processing module 2, the main control module 3 and the infrared emission module 4. The technical scheme of the present application is described in detail in combination with the description and specific embodiments of the drawings.

[0047] The sensing module 1 is made of a flexible base material, on which a strain sensing unit and a physiological parameter acquisition unit are integrated. The flexible base material is made of polyimide material, which has good flexibility and durability, and the sensing module can be attached to any movable part of the human body, such as finger joints, wrists or ankles, etc. The strain sensing unit is composed of a plurality of strain gauges, each strain gauge is connected with the signal processing module 2 through a wire. When the user moves, the strain gauge attached to the skin will produce resistance change due to the change of skin tension, and this change is transmitted to the signal processing module 2 through the wire. The physiological parameter acquisition unit includes a temperature sensor and a heart rate sensor, which are used to monitor the body temperature and heart rate data of the user in real time. The temperature sensor and the heart rate sensor are connected with the signal processing module 2, which can be connected through a flexible circuit, and the flexible circuit is also made of polyimide material to ensure the stability and durability of signal transmission.

[0048] The physiological state-air conditioner linkage rule is provided between the sensing module 1 and the air conditioning equipment, and when the user's body action information or physiological parameters obtained by the sensing module 1 exceed the preset threshold, the specific mode of the air conditioning equipment is triggered to start.

[0049] The sensors in the sensing module 1 monitor the user's body temperature or heart rate, body action posture and other physiological state parameters in real time, and transmit the monitoring results to the signal processing module. The signal processing module converts the received signals into digital signals after filtering and amplification processing and transmits them to the main control module 3. The main control module 3 stores preset physiological state-air conditioner linkage rules. When the received digital signal indicates that the user's body temperature exceeds a certain set value, the main control module 3 generates corresponding air conditioner control instructions according to the rules and sends them to the air conditioner equipment through the infrared emission module, thereby triggering the air conditioner equipment to enter a specific mode. Preferably, the specific mode of the air conditioner equipment is a specific mode directly related to the user's physiological state, such as a fresh air mode, a dehumidification mode, a rapid cooling mode, a rapid heating mode, and of course the temperature adjustment of the air conditioner can also be used as a specific mode associated with the user's physiological state, unlike the traditional air conditioner whose temperature control usually only depends on the user's setting and the load in the room. In this way, the air conditioner equipment can quickly respond to the user's special physiological state (such as the physiological state parameter indicating that the body health condition is abnormal) to ensure that the adjustment of the air conditioner equipment can meet the comfort needs of the user's body health changes. For example, when the sensing module detects an abnormal high temperature of the human body, the room temperature needs to be quickly reduced to prevent overheating (rapid cooling mode). When the sensing module detects an abnormal low temperature of the human body, the room temperature needs to be quickly increased to prevent palpitations (rapid cooling mode). For example, when the sensing module detects that the user's blood pressure is rising, the heart rate is too fast, and the breathing is rapid, the fresh air mode can be quickly started to increase the oxygen content in the room. For example, when the sensing module detects that the user is sweating a lot, the body temperature, heart rate, skin state, and breathing indicators exceed the normal indicators, the dehumidification mode can be quickly started.

[0050] For the above-mentioned linkage relationship between physiological state and specific mode of air conditioner, as one of the embodiments, a preset corresponding relationship table can be set in the air conditioner remote controller. The specific preset relationship can be set by the user according to the user's characteristics, or directly pre-stored in the memory of the air conditioner remote controller by the manufacturer.

[0051] Preferably, the signal processing module 2 includes a filtering unit and an amplification unit. The filtering unit is connected to the sensing module 1 through a wire harness, and the wire harness is provided with a plug and a socket at both ends for easy installation and replacement. The filtering unit removes noise interference in the output signal of the sensing module 1 to ensure that the signal quality meets the requirements of subsequent processing. The amplification unit is connected to the filtering unit and is used to adjust the gain of the filtered signal to make the signal amplitude suitable for the input requirements of the main control module 3. The signal processing module 2 is connected to the main control module 3 through another group of wire harnesses, and the wire harnesses are also provided with plugs and sockets at both ends for easy connection and maintenance between modules.

[0052] The main control module 3 is the core control unit, which integrates a microprocessor and a memory inside. The microprocessor receives the signals output by the signal processing module 2 through the wire and generates air conditioner control instructions according to the preset algorithm. The memory stores a variety of control logic, such as temperature adjustment logic based on the voltage change of the strain gauge and intelligent correction logic based on physiological parameters.

[0053] For the above-mentioned physiological state and specific mode linkage relationship of the air conditioner, as another embodiment, the intelligent air conditioner remote controller is also provided with a multi-modal perception fusion module, which fuses the different types of physiological parameters collected by the perception module 1 to generate the user's comfort adjustment demand. The multi-modal perception fusion module generates the user's comfort adjustment demand by fitting and / or comprehensive analysis of multiple physiological parameters through an algorithm, for example, combining the user's body temperature, heart rate and action frequency to generate the user's comfort adjustment demand. Further preferably, the storage module uses a non-volatile memory to store the current setting parameters and historical setting parameter data of the user each time the air conditioner is turned on, and the storage module is connected to the main control module 3 through a data interface. The main control module 3 generates air conditioner control instructions according to the comfort adjustment demand and the current setting parameters and historical setting parameter data, for example, when the user's historical data shows that he prefers a lower indoor temperature, the main control module 3 will give priority to this preference when generating the instructions.

[0054] Preferably, when the parameter adjustment object of the comfort adjustment demand is more than the current setting parameter (for example, the current setting parameter only has temperature, and the parameter adjustment object of the comfort adjustment demand not only includes temperature but also humidity), the main control module 3 instructs the air conditioner equipment to start a specific mode based on the preset physiological state-air conditioner linkage rule. When the difference between the target value of the parameter adjustment of the comfort adjustment demand and the parameter value of the current setting parameter is greater than the preset range, the main control module 3 corrects the target value of the parameter adjustment based on the user's habits represented by the historical setting parameter data. For example, when the user's body temperature is high and the heart rate is fast, the main control module 3 will preferentially start the cooling mode and increase the wind speed. If the difference between the target value of the comfort adjustment demand and the current setting parameter is large, the main control module 3 will refer to the historical setting parameter data and correct the target value in combination with the user's usage habits. For example, if the user is used to a lower indoor temperature, the target value will be appropriately reduced when it is higher than the current setting value.

[0055] The environmental sensor monitors the current environmental temperature in real time and compares it with the user's comfort interval. If the environmental temperature deviates from the comfort interval, the main control module 3 calculates the compensation adjustment parameter of the air conditioning equipment in combination with the environmental sensor data and the user's comfort adjustment requirement. The environmental sensor is connected to the main control module 3 through a data interface. The main control module 3 determines the temperature difference between the current environmental temperature and the user's comfort interval according to the environmental sensor data, and determines the compensation adjustment parameter of the air conditioning equipment according to the temperature difference and the comfort adjustment requirement. The calculation formula of the compensation adjustment parameter is P equals to k1 multiplied by ΔT plus k2 multiplied by H, wherein P represents the compensation adjustment parameter, ΔT represents the temperature difference, H represents the intensity of the comfort adjustment requirement, and k1 and k2 are preset coefficients. The main control module 3 calculates the compensation adjustment parameter by the formula and incorporates the compensation adjustment parameter into the air conditioning control instruction.

[0056] The user feedback data is input through the interactive interface on the remote controller or external equipment. The main control module 3 determines whether the current air conditioning control instruction meets the user's requirement according to the feedback data. If it is found that it does not meet the requirement, the main control module 3 adjusts the running parameter of the air conditioning equipment in combination with the user feedback data and the comfort adjustment requirement. The user satisfaction score is input through the interactive interface. The main control module 3 determines the running parameter adjustment range of the air conditioning equipment according to the deviation value of the user satisfaction score and the comfort adjustment requirement. The calculation formula of the running parameter adjustment range is A = m1*S + m2*D, wherein A represents the running parameter adjustment range, S represents the user satisfaction score, D represents the deviation value of the comfort adjustment requirement, and m1 and m2 are preset coefficients. The main control module 3 calculates the running parameter adjustment range by the formula and incorporates the adjusted running parameter into the air conditioning control instruction.

[0057] The main control module 3 monitors the running state of the air conditioning equipment through the energy consumption data, and determines whether the current running parameter causes abnormal energy consumption. If it is found that the abnormality exists, the main control module 3 optimizes the running parameter in combination with the energy consumption data and the comfort adjustment requirement. The energy consumption data is input to the main control module 3 through a data interface. The main control module 3 determines the deviation value of the current energy consumption level from the standard energy consumption level according to the energy consumption data, and determines the running parameter optimization value of the air conditioning equipment according to the deviation value and the comfort adjustment requirement. The calculation formula of the running parameter optimization value is O = n1*E + n2*C, wherein O represents the running parameter optimization value, E represents the energy consumption deviation value, C represents the weight value of the comfort adjustment requirement, and n1 and n2 are preset coefficients. The main control module 3 calculates the running parameter optimization value by the formula and incorporates the optimized running parameter into the air conditioning control instruction.

[0058] In the main control module 3, the microprocessor generates air conditioner control instructions according to preset algorithms, which include but are not limited to intention recognition algorithms based on fusion action intention recognition models, state recognition algorithms based on physiological state analysis models, and intelligent control algorithms based on gesture recognition, speech recognition, brain wave recognition, and multi-modal fusion. The implementation principle and workflow of these algorithms are described in detail below.

[0059] The intention recognition algorithm based on the fusion action intention recognition model is used to identify the user's body action intention, thereby generating corresponding air conditioner control instructions. The core of the algorithm is to fuse multi-source sensor data (such as strain gauges, electromyographic signals, acceleration sensors, etc.), improving the accuracy and robustness of action recognition. The specific implementation steps are as follows: First, signal preprocessing is performed to filter and amplify the original electrical signals (such as voltage changes from strain gauges) from the perception module 1 to eliminate noise interference. The filter unit of the signal processing module 2 uses a low-pass filter circuit to remove high-frequency noise, and the amplification unit adjusts the signal amplitude through an operational amplifier to ensure that the signal meets the input requirements of the microprocessor.

[0060] Then, feature extraction is performed to extract time and frequency domain features from the preprocessed signals, such as signal amplitude, rate of change, frequency components, etc. For strain gauge signals, features may include voltage change amplitude and duration; for electromyographic signals, features may include signal energy and spectral characteristics.

[0061] This algorithm relies on an intention recognition model that uses machine learning models (such as support vector machines, random forests, or deep learning networks) to classify the extracted features and identify the user's specific action intention. For example, when the strain gauge detects a rapid finger flexion, the model may recognize a "cooling" intention; when a slow flexion is detected, it may recognize a "lower wind speed" intention. The model uses labeled action data for supervised learning during the training phase to optimize classification accuracy.

[0062] If the perception module 1 integrates multiple sensors (such as strain gauges and electromyographic sensors), the algorithm will fuse these data sources to improve recognition reliability through weighted voting or feature-level fusion. For example, electromyographic signals can be used to compensate for the lack of strain gauge signals in small movements, reducing misidentification.

[0063] Finally, the control instruction is generated, and the microprocessor generates corresponding air conditioner control instructions such as adjusting the temperature, switching the mode, or changing the wind speed according to the recognized intention. For example, when a "cooling" intention is recognized, the microprocessor will generate a cooling instruction and send it to the air conditioner device through the infrared emission module 4.

[0064] The algorithm has the advantage of adapting to different user action habits and improving recognition performance in complex environments by fusing multi-sensor data.

[0065] The state recognition algorithm based on physiological state analysis model infers the user's thermal comfort state by analyzing the user's physiological parameters (such as body temperature, heart rate), and dynamically adjusts the air conditioner operating mode. The specific implementation steps are as follows: First, data acquisition, specifically the physiological parameter acquisition unit (including temperature sensor and heart rate sensor) real-time monitors the user's body temperature and heart rate data, and converts these data into electrical signals transmitted to the signal processing module 2.

[0066] Then, state evaluation, the microprocessor receives the processed physiological data, and evaluates the user state based on predefined thresholds or models (such as thermal comfort index PMV). For example, when the body temperature is lower than the set threshold (such as 28℃), it is determined that the user is in a "cold" state; when the body temperature is higher than the set threshold (such as 32℃), it is determined that the user is in a "hot" state. At the same time, heart rate data can be used to assist in determining the user's activity level or tension level.

[0067] After that, according to the state evaluation result, the microprocessor adjusts the air conditioner control instruction. For example: When the user is detected to be in a "cold" state, ignore the cooling request within a unit time (such as 60 seconds) to prevent excessive cooling.

[0068] When the user is detected to be in a "hot" state, ignore the heating request within a unit time to avoid high indoor temperature.

[0069] If the heart rate is abnormal (such as too high or too low), instructions may be generated to reduce the air speed or turn off the air conditioner to protect the user's health.

[0070] The algorithm can also combine historical data and use machine learning methods (such as reinforcement learning) to optimize thresholds and decision logic for personalized control. For example, based on long-term use records of the user, automatically adjust the temperature threshold to adapt to individual differences. This algorithm realizes intelligent adjustment based on the user's physiological state, improving the comfort and energy saving effect of air conditioning use.

[0071] Gesture recognition-based control algorithm, this algorithm is suitable for scenes integrated with gesture recognition perception module, generates control instructions by recognizing user's gesture actions. The specific implementation steps are as follows: First, data acquisition, gesture recognition module integrates micro infrared sensor or low-power camera, real-time captures user hand joint sequence data.

[0072] Then feature extraction is performed, and a spatio-temporal graph convolutional network (ST-GCN) is used to process continuous hand motion data, extracting spatial and temporal features such as joint positions, motion trajectories, and velocities.

[0073] The network model then classifies the features, identifying static gestures (such as raising the thumb) and dynamic gestures (such as drawing a circle clockwise). The model learns end-to-end using a large amount of gesture data during the training phase.

[0074] Instruction mapping: based on the recognition results, the microprocessor generates corresponding instructions. For example, raising the thumb is mapped to "increase temperature", and the circle gesture is mapped to "increase air volume". This algorithm supports real-time processing, ensuring low-latency control, and confirms the execution of instructions to the user through a feedback unit (such as a vibration motor). This algorithm enriches the non-contact control method and is suitable for users with limited mobility.

[0075] Voice recognition-based control algorithm: this algorithm is suitable for scenarios integrating voice recognition perception modules, and controls the air conditioner through voice commands. The specific implementation steps are as follows: First, perform voice acquisition: the voice recognition module collects user voice signals through a miniature microphone and uses a noise reduction algorithm (such as spectral subtraction) to filter environmental noise.

[0076] Then perform voice-to-text conversion: use a voice recognition engine (such as a deep learning-based ASR system) to convert voice signals into text data.

[0077] Then perform intent analysis: the microprocessor performs natural language processing on the text to identify key instructions (such as "cooling mode", "increase temperature"). Then generate air conditioner control instructions based on the analysis results and send them through a wireless communication module or infrared emission module. If the recognition confidence is low, the algorithm can request the user to repeat the instruction, or verify the intent in combination with other sensor data.

[0078] This algorithm provides a convenient voice interaction method and is suitable for users with limited hand movement.

[0079] EEG recognition-based control algorithm: this algorithm is suitable for scenarios integrating EEG perception modules, and identifies user intent by analyzing EEG signals. The specific implementation steps are as follows: First, perform signal acquisition: the EEG module is attached to the user's forehead or scalp through dry electrodes, and collects EEG signals (such as alpha waves and beta waves).

[0080] Then the signal is pre-processed, the original EEG signal is filtered and amplified, and the power frequency interference and motion artifacts are removed. Time-frequency domain features such as power spectral density, event-related potential are extracted from the pre-processed signal. Then the pre-trained deep convolutional neural network (CNN) model is used to classify the features and identify the user's intention state (such as "feeling hot" or "feeling cold"). Finally, according to the identification result, the instruction is generated, for example, when "feeling hot" is identified, the refrigeration mode is automatically started.

[0081] This algorithm realizes pure thought control, providing an innovative interaction method for users with severe motor disorders.

[0082] Based on the intelligent control algorithm of multi-modal fusion, the algorithm fuses multi-source data such as motion, physiology, environment, etc. for comprehensive decision-making. The specific implementation steps are as follows: First, data integration is performed, and data from strain sensing units, physiological parameter acquisition units, environmental sensors (such as temperature, humidity), etc. are collected.

[0083] Then feature-level fusion is performed, and features of different modalities are spliced or weighted combined to form a unified feature vector.

[0084] Then use multi-task learning or deep learning model (such as Transformer) to process the fusion features and output comprehensive control instructions. According to real-time data and user feedback, dynamically adjust the model parameters to realize personalized control.

[0085] This algorithm improves the overall intelligence of the system, ensuring that the control instructions not only meet the user's intention, but also adapt to environmental changes.

[0086] The above algorithms in the main control module 3 can automatically switch execution according to the currently connected sensing module type. The microprocessor loads the corresponding algorithm model from the memory, and supports online updating of new algorithms through the expansion interface. The integration of these algorithms enables the intelligent air conditioner remote controller to adapt to diverse user needs, improving control accuracy and user experience. Of course, other algorithms can also be introduced, and the present embodiment does not limit this.

[0087] The main control module 3 also has an expansion interface for connecting external functional modules, such as a voice recognition module or an electroencephalogram acquisition module. The expansion interface adopts a snap-on design, making it easy for users to select different sensing module types and quickly install and remove them. The main control module 3 is connected with the infrared emission module 4, and the flexible circuit adopts a shielding layer design to reduce electromagnetic interference.

[0088] For example, the expandable sensing module includes the following: Strain gauge-based motion sensing module, which is a basic configuration, integrates multiple strain gauges on a flexible substrate, attached to movable parts such as the user's fingers, wrists, elbows, etc. By detecting changes in skin tension, it recognizes user actions and generates corresponding air conditioning control instructions.

[0089] Voice recognition sensing module, which integrates a miniature microphone and a voice processing chip, supports voice command recognition. Users can control the air conditioner through voice commands such as "cooling mode" and "increase temperature". The voice recognition module has a built-in noise reduction algorithm that can accurately extract effective commands in noisy environments.

[0090] EEG sensing module, which integrates dry electrodes and EEG signal acquisition circuit, attached to the user's forehead or scalp, collects EEG signals (such as alpha waves and beta waves). The module has a built-in edge computing unit running a pre-trained deep convolutional neural network model. By analyzing the time-frequency domain features of EEG signals, the model can accurately identify specific user intent states such as "feeling hot", "feeling cold", or "maintaining current state". The recognition result is encoded as a control instruction and sent to the main control module, realizing a purely mental control interaction method without body movements.

[0091] EMG sensing module, which contacts the user's skin surface through electrode patches to collect muscle electrical signals for identifying subtle motion intentions (such as finger micro-motions and facial expressions), suitable for severely limited user groups.

[0092] Gesture recognition sensing module, which integrates miniature infrared sensors or low-power cameras. Its core is a lightweight spatio-temporal graph convolution network that can process continuous hand joint sequence data in real time. Through end-to-end learning, the model not only recognizes static gestures (such as raising the thumb to indicate temperature increase), but also understands continuous dynamic gestures (such as drawing a circle clockwise to indicate increasing air volume), greatly enriching the interaction dimensions of non-contact control.

[0093] Pressure sensing module, which integrates an array of pressure sensors attached to the user's seat or mattress, automatically adjusts the air conditioner's direction or operating mode by sensing changes in the user's sitting or lying posture, improving comfort.

[0094] Eye tracking sensing module, which integrates a miniature infrared camera and LED, tracks eye movement by capturing changes in corneal reflection spots. Users can trigger different air conditioning control commands through specific eye movement patterns (such as two consecutive blinks or eye gaze left / right for more than 1 second), providing a new control approach for users who have lost limb mobility.

[0095] Physiological multi-parameter fusion perception module, which is an enhanced version of the aforementioned physiological parameter acquisition unit, integrates galvanic skin response sensor and blood oxygen saturation sensor in addition to the basic temperature and heart rate. By fusing multi-modal physiological data, the master control module can more comprehensively judge the user's thermal comfort, tension or relaxation state, thereby achieving more accurate and predictive environmental regulation.

[0096] Environmental context perception module, which integrates miniature ambient light sensor, sound sensor and barometer. It does not directly collect user signals, but is used to perceive the environmental background in which the user is located. For example, when detecting that the ambient light becomes dark and the environmental noise decreases to a lower level, it can be inferred that the user has entered a sleep state in combination with time information, and automatically notify the master control module to switch the air conditioner to sleep mode.

[0097] Proximity and presence perception module, which integrates a small millimeter wave radar or ultrasonic sensor, is used to detect the proximity and presence state of the user. When the user leaves the room for a certain period of time, the energy-saving mode can be automatically triggered; when the user returns is detected, the comfort settings are restored in advance, balancing convenience and energy saving.

[0098] The master control module 3 can automatically switch and load the corresponding control logic and algorithm model according to the type of the currently connected perception module. For example, when the voice recognition module is connected, the master control module enables the voice command analysis algorithm; when the brain wave module is connected, the corresponding deep neural network model is called to infer the intention. In addition, the user can customize the control mapping relationship of each module through the smart phone application or the remote control body setting interface, to achieve a highly personalized smart control experience.

[0099] The infrared emission module 4 includes an infrared light-emitting diode and a driving circuit. The infrared light-emitting diode is connected to the master control module 3 through the driving circuit, and the driving circuit modulates the frequency and intensity of the infrared light according to the control signal emitted by the master control module 3, thereby achieving precise control of the air conditioning equipment. The infrared emission module 4 is fixed on the remote control shell by screws, and the shell surface is provided with a transparent window for the emission of infrared light. The transparent window is made of high-transmittance material to ensure that the infrared light can pass through smoothly and reach the receiving end of the air conditioning equipment.

[0100] The power management module is composed of a lithium battery and a charging circuit. The lithium battery is connected to the external power source through the charging circuit, and the charging circuit is provided with overcharge protection and overdischarge protection functions. The power management module is connected to the perception module 1, the signal processing module 2, the master control module 3 and the infrared emission module 4 through wires to provide stable power supply for them. The power management module is also provided with a power detection unit for real-time monitoring of the remaining power of the lithium battery, and displays the current power state to the user through the indicator light.

[0101] The wireless communication module connects to the main control module 3. It supports both Bluetooth and Wi-Fi communication, allowing users to remotely monitor the air conditioner's operating status and personalize the remote control's logic via smartphone or smart home gateway. The wireless communication module also features data synchronization; the main control module 3 periodically uploads collected user data to a cloud server for subsequent analysis and optimization of the control logic.

[0102] The fault detection module is connected to the main control module 3 and is used to monitor the working status of each functional module. For example, the fault detection module will detect in real time whether the signal output of the sensing module 1 is normal, whether the filtering effect of the signal processing module 2 meets the standard, and whether the processing speed of the main control module 3 meets the requirements. When an abnormality is detected, the fault detection module will issue an alarm to the user through an indicator light or a buzzer, and record the fault information for subsequent troubleshooting.

[0103] like Figure 2 The diagram shown is a structural schematic of the smart air conditioner remote control in this embodiment. The smart air conditioner remote control is divided into two parts: a sensing module 1-1 that can be attached to a person, and other parts 1-2. The other parts include a main control module, an infrared transmitting module, and a signal processing module. The sensing module 1-1 and other parts 1-2 are connected via wired or wireless means.

[0104] In practical use, because the sensing module is made of flexible material, it can be attached to any movable part of the human body, allowing users to input air conditioning control commands without manual operation. In one example, the user attaches sensing module 1 to a finger joint or other movable part. When the user bends their finger, the strain gauge attached to the finger joint will generate a change in resistance. Signal processing module 2 converts this change into an electrical signal and transmits it to main control module 3. Main control module 3 generates corresponding air conditioning control commands according to preset logic. For example, the strain gauge corresponding to the right finger joint is responsible for cooling operation, and the strain gauge corresponding to the left finger joint is responsible for heating operation. Each time the strain gauge voltage changes, main control module 3 adjusts the air conditioning temperature setpoint within the range of 15℃ to 30℃, with each change corresponding to a temperature increase or decrease of 1℃. When the temperature reaches 30℃, the setpoint will restart the cycle of adjustment from 15℃. Furthermore, the larger the magnitude of a single voltage change, the larger the step size of the temperature adjustment will be.

[0105] The sensing module 1 is made of a flexible substrate material using a self-healing polymer, capable of automatically repairing itself in the event of minor cracks or damage, thus improving the module's durability. The sensing module 1 integrates a strain sensing unit, a physiological parameter acquisition unit, and an electromyography (EMG) signal acquisition unit. The EMG signal acquisition unit collects EMG signals through electrode pads in contact with the user's skin, which are used to compensate for the minute signals output by the strain sensing unit, thereby improving the accuracy of motion recognition.

[0106] The expansion interface adopts a wireless connection mode, supporting Bluetooth or Wi-Fi communication. Users can select different types of intelligent sensing units according to needs, such as an action sensing module based on a strain gauge, a voice sensing module based on a microphone, or an electroencephalogram sensing module based on an electrode. These modules are connected with the master module 3 through the wireless expansion interface, without the need for physical plugging, facilitating quick switching and installation, and reducing the overall cost.

[0107] In the control process of the intelligent air conditioner remote controller, after the master module 3 successfully sends an air conditioner control instruction through the infrared emission module 4, the master module 3 will send an execution feedback command to the user through the feedback unit. The feedback unit includes a vibration motor, a loudspeaker, or an LED indicator light, prompting the user that the instruction has been recognized and executed through vibration, sound, or light. For example, after a temperature adjustment instruction is successfully sent, the remote controller will issue a brief vibration or sound prompt, ensuring that the user perceives the operation result.

[0108] The wireless communication module is connected with the master module 3, not only for data interaction with external devices, but also for real-time uploading of sensor data (such as body temperature, heart rate, and electromyographic signals) collected by the sensing module 1 to a cloud server. The cloud server analyzes the data, generates personalized health recommendations and control strategies in combination with the user's historical use records and health data, and issues them to the master module 3 through the wireless communication module to optimize the air conditioner control logic.

[0109] The physiological parameter acquisition unit monitors the user's body temperature and heart rate data in real time, and when it detects that the body temperature is too high or the heart rate is abnormal, the master module 3 will automatically adjust the operation mode of the air conditioner. For example, when the body temperature is below a set threshold, the master module 3 will ignore the cooling requests generated within a unit time; when the body temperature is above the set threshold, it will ignore the heating requests generated within a unit time. This correction logic can avoid unreasonable control instructions caused by user misoperation or environmental interference.

[0110] In the running process of the intelligent air conditioner remote controller, if the sensing module 1 does not detect valid action signals, the master module 3 will enter a standby state by default to reduce power consumption. At this time, the infrared emission module 4 stops working, and the signal processing module 2 also enters a low-power consumption mode. When the sensing module 1 detects new action signals, the master module 3 reactivates the function modules and executes the corresponding control logic.

[0111] In order to better enable relevant persons in the technical field to fully understand and implement the present application, the specific implementation principles of the present application are further described below in conjunction with a specific application scenario.

[0112] In actual use, the user first attaches the sensing module 1 to the finger joint or other movable part. When the user bends the finger, the strain gauge in the strain sensing unit will change in resistance due to the change in skin tension. This change is transmitted through the wire to the filter unit of the signal processing module 2, which removes the noise from the received signal, and then to the amplification unit. The amplification unit adjusts the gain of the signal and transmits it to the main control module 3. The microprocessor in the main control module 3 generates air conditioner control instructions according to the preset algorithm and sends them to the air conditioner device through the infrared emission module 4. For example, the strain gauge corresponding to the right finger joint is responsible for cooling operation, and the strain gauge corresponding to the left finger joint is responsible for heating operation. Each time the strain gauge voltage changes, the main control module 3 adjusts the temperature setting value of the air conditioner in the range of 15℃ to 30℃, and each change corresponds to an increase or decrease of 1℃ in temperature. This design allows the user to complete air conditioner control without manual key pressing, significantly improving the operation convenience.

[0113] The physiological parameter acquisition unit monitors the user's body temperature and heart rate data in real time and transmits these data to the signal processing module 2. After filtering and amplification, the signal is received by the main control module 3, and the intelligent correction logic in the memory analyzes the data. For example, when the user's body temperature is detected to be lower than the set threshold, the main control module 3 ignores the cooling request generated within a unit time; when the body temperature is higher than the set threshold, the heating request generated within a unit time is ignored. This correction logic based on physiological parameters can effectively avoid unreasonable control instructions caused by misoperation or environmental interference, thereby improving the intelligent level of air conditioner operation. The value of the set threshold can be set according to the needs, and the present embodiment does not limit it.

[0114] During the operation of the intelligent air conditioner remote controller, if the sensing module 1 does not detect an effective motion signal, the main control module 3 will default to standby state to reduce power consumption. At this time, the infrared emission module 4 stops working, and the signal processing module 2 also enters low-power mode. When the sensing module 1 detects a new motion signal again, the main control module 3 activates the function modules and executes the corresponding control logic. For example, when the user bends the finger again, the resistance change of the strain gauge will be converted into an electrical signal again, and transmitted to the signal processing module 2 and the main control module 3 in turn, and finally generate air conditioner control instructions. This low-power design not only prolongs the battery life of the device, but also improves its reliability in actual use.

[0115] The wireless communication module supports both Bluetooth and Wi-Fi communication methods, allowing users to remotely monitor the operation status of the air conditioner through a smartphone or smart home gateway and personalize the control logic of the remote controller. For example, users can adjust the temperature setting range or switch control logic through a mobile app. In addition, the wireless communication module 14 also has a data synchronization function, which periodically uploads user data collected by the main control module 3 to a cloud server for subsequent analysis and optimization of control logic. This design not only enhances the scalability of the device but also provides users with a more personalized user experience. The wireless communication module is connected to the main control module, which can be connected through a flexible circuit that uses a shielding layer design to reduce electromagnetic interference.

[0116] The fault detection module monitors the working status of each functional module in real time. For example, whether the signal output of the sensing module is normal, whether the filtering effect of the signal processing module meets the requirements, whether the operation speed of the main control module meets the requirements, etc. When an anomaly is detected, the fault detection module will alert the user through an indicator light or a buzzer, and record the fault information for subsequent troubleshooting.

[0117] In one example, when the signal output of the sensing module 1 is abnormal, the fault detection module 15 will alert the user through an indicator light or a buzzer, and record the fault information for subsequent troubleshooting. This design ensures the stability of the device during operation, while reducing maintenance costs.

[0118] In some embodiments of the present application, the smart air conditioner remote controller also supports modular design. Users can choose different types of sensing modules according to their needs, such as strain gauge-based motion sensing modules, microphone-based voice sensing modules, or electrode-based brain wave sensing modules. These modules are connected to the main control module through a unified expansion interface, which uses a snap-on design for easy installation and removal.

[0119] In another example, when the user holds the smart air conditioner remote controller, the sensors in the sensing module collect the user's body temperature and heart rate data in real time and transmit these data to the signal processing module through the wire. The signal processing module first filters the received electrical signals to remove noise interference, then enhances the signal strength through an amplification circuit, and finally converts the analog signal to a digital signal using an analog-to-digital conversion circuit. The main control module receives the processed digital signal and generates air conditioner control instructions according to the pre-set physiological state-air conditioner linkage rules. For example, when the user's body temperature exceeds 37.5°C and the heart rate is higher than 100 beats per minute, the main control module determines that the user is in a high-temperature discomfort state and generates a cooling mode start instruction. The instruction is sent to the air conditioner device through the infrared emitter module, driving the air conditioner to enter the cooling mode and adjust the wind speed to the medium-high gear.

[0120] Meanwhile, the environmental sensor monitors the indoor temperature in real-time and transmits the detected environmental temperature data to the main control module through the data interface. The main control module calculates the temperature difference between the current environmental temperature and the comfort interval based on the user's comfort interval data recorded in the storage module. Assuming that the user's comfort interval is set to 24-26°C and the current environmental temperature is 28°C, the temperature difference ΔT is 2°C. The main control module combines the user's comfort adjustment demand intensity H and calculates the compensation adjustment parameter according to the formula P=k1·ΔT+k2·H. If k1 and k2 are 0.6 and 0.4 respectively, and H is 0.8, then the compensation adjustment parameter P=0.6×2+0.4×0.8=1.52. The main control module incorporates the compensation adjustment parameter into the air conditioner control instruction to further optimize the operating parameters of the air conditioning equipment, such as increasing the cooling capacity or extending the cooling time.

[0121] During the operation of the air conditioning equipment, the user can input a satisfaction score through the interactive interface on the remote controller. Assuming that the user's satisfaction score for the current indoor temperature is 3 points (out of 5 points), and the deviation value D of the comfort adjustment demand is 0.7, the main control module calculates the adjustment amplitude of the operating parameters according to the formula A=m1·S+m2·D. If m1 and m2 are 0.5 and 0.3 respectively, then the adjustment amplitude of the operating parameters A=0.5×3+0.3×0.7=1.71. The main control module adjusts the operating parameters of the air conditioning equipment according to the calculation result, such as appropriately reducing the cooling intensity or increasing the set temperature by 1°C, and incorporates the adjusted operating parameters into the new air conditioner control instruction.

[0122] In addition, the main control module obtains real-time energy consumption information of the air conditioning equipment through the energy consumption data interface and compares it with the standard energy consumption level. Assuming that the current energy consumption level is 1200W and the standard energy consumption level is 1000W, the energy consumption deviation value E is 200W. The main control module combines the weight value C of the comfort adjustment demand and calculates the optimization value of the operating parameters according to the formula O=n1·E+n2·C. If n1 and n2 are 0.01 and 0.02 respectively, and C is 0.9, then the optimization value of the operating parameters O=0.01×200+0.02×0.9=2.018. The main control module adjusts the operating parameters of the air conditioning equipment according to the optimization value, such as reducing the air speed or reducing the compressor operating frequency, to ensure user comfort while achieving energy-saving effect.

[0123] Through the above steps, the intelligent air conditioner remote controller can dynamically adjust the operating parameters of the air conditioning equipment according to the user's physiological state, environmental conditions, feedback data and energy consumption, ensuring that the user is always in a comfortable environment while taking into account energy-saving needs. This process not only improves user experience, but also provides reliable technical support for the intelligent control of air conditioning equipment.

[0124] As Figure 3As shown, the embodiments of the present application also provide a control method of the intelligent air conditioner remote controller, which specifically comprises: S301: Collect the physiological state information of the user and convert it into an electrical signal.

[0125] S302: Generate an air conditioner control instruction based on the electrical signal.

[0126] S303: Send the control instruction to the air conditioner device.

[0127] In specific implementation, the user can operate and control the air conditioner device through different types of sensing modules. According to the operation of the user sensed by the sensing module, the corresponding electrical signal is generated, which is transmitted to the signal processing module. The signal processing module converts the analog signal into a digital signal. Then, the signal processing module infers the user's intention according to the preset algorithm and maps it as an operation instruction to raise the temperature of the air conditioner. In this process, the signal processing module also combines the data output by the physiological parameter acquisition unit to determine whether the current body surface temperature of the user is suitable for executing the instruction. If the body surface temperature of the user is lower than the set threshold, the system ignores the cooling request to avoid causing discomfort.

[0128] In one scenario, the user wants to adjust the air conditioner mode by using a voice instruction. At this time, the voice recognition module receives the voice content of the user through the microphone, such as "switch to cooling mode". The noise reduction circuit and voice enhancement algorithm built-in the voice recognition module can effectively filter environmental noise to ensure the clarity of the voice instruction. After receiving the voice signal, the voice recognition module converts it into text data and transmits it to the signal processing module. The signal processing module generates the corresponding air conditioner operation instruction according to the text content and sends it to the air conditioner device through the wireless communication module. The wireless communication module uses low-power Bluetooth technology to establish a connection with the air conditioner device and monitors the instruction transmission state in real time during the transmission process. If the transmission fails due to environmental interference, the wireless communication module will automatically resend the instruction until it is successful. In addition, the infrared emission module serves as a backup communication means and is enabled when the wireless communication module fails. It emits the encoded operation instruction through the infrared LED lamp to ensure that the instruction can accurately reach the receiving window of the air conditioner device.

[0129] For users who have been using the intelligent air conditioner remote controller for a long time, the operation records of the user are also analyzed in depth to generate personalized control strategies. For example, if the user is used to setting the air conditioner to sleep mode and setting the temperature to 26 degrees Celsius at 10 o'clock every night, this behavior pattern will be extracted and converted into a personalized control strategy and stored in the local storage unit. In the subsequent use process, when the time approaches 10 o'clock at night, the signal processing module preferentially calls the personalized control strategy to generate the operation instruction and sends it to the air conditioner device through the wireless communication module, thereby reducing the repeated setting operation of the user and improving the use efficiency.

[0130] In a special scenario, such as the elderly or disabled people need to adjust the air conditioner, they can complete the operation through simple gestures. For example, the user only needs to hold the remote control close to the body, and the contact sensor of the holding part will collect the physiological parameters such as body surface temperature, heart rate and respiratory rate. The contact sensor collects bioelectric signals through metal electrode sheets and converts them into voltage values. These voltage values are amplified and filtered, and then transmitted to the signal processing module for analysis. The signal processing module calculates the user's comfort state according to the preset algorithm, and generates running instructions combined with gesture operation data. For example, when it is detected that the user's body surface temperature is high and the user's gesture indicates to lower the temperature, the signal processing module will generate a cooling instruction and send it to the air conditioning equipment through the wireless communication module. At the same time, in order to save energy, when the system does not detect valid action signals, the infrared emission module and the signal processing module enter low-power mode and stop working to prolong the device's endurance time.

[0131] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0132] The embodiments of the present application also provide a computer program product, which includes computer program instructions, and the computer program instructions make the processor execute the steps in the control method of the intelligent air conditioner remote controller according to various embodiments of the present application described in the above "Exemplary Method" section of the specification when the processor runs.

[0133] The computer program product can be written in any combination of one or more programming languages to perform the operations of the embodiments of the present application, including object-oriented programming languages such as Java, C++, and conventional procedural programming languages such as "C" language or similar programming languages.

[0134] The embodiments of the present application also provide a computer readable storage medium having a computer program stored thereon, and the computer program makes the processor execute the steps in the control method of the intelligent air conditioner remote controller according to various embodiments of the present application described in the above "Exemplary Method" section of the specification when the processor runs.

[0135] The embodiments of the present application also provide an electronic device, which includes a memory and a processor, and the memory has the control method of the intelligent air conditioner remote controller stored therein, and the processor is configured to execute the control method of the intelligent air conditioner remote controller by using the control method of the intelligent air conditioner remote controller described above.

[0136] Specifically, as Figure 4As shown, the electronic device includes a processor 4100, at least one communication bus 4200, a user interface 4300, at least one external communication interface 4400, and a memory 4500. Among them, the communication bus 4200 is configured to realize the connection communication between the components. Among them, the user interface 4300 can include a display screen, and the external communication interface 4400 can include a standard wired interface and a wireless interface. Among them, the memory 4500 stores the control method of the smart air conditioner remote controller. Among them, the processor 4100 is configured to adopt the above method when executing the control method of the smart air conditioner remote controller stored in the memory 4500.

[0137] The descriptions of the above computer program product, computer readable storage medium and electronic device are similar to the descriptions of the above method embodiments, and have similar beneficial effects as the method embodiments. For technical details of the computer program product, computer readable storage medium and electronic device of the present application that are not disclosed, please refer to the description of the method embodiments of the present application for understanding.

[0138] The embodiments of the present application also provide a smart air conditioner provided with the smart air conditioner remote controller and / or the corresponding control method and / or the electronic device described in the embodiments.

[0139] The smart air conditioner using the smart air conditioner remote controller embodiments of the present application can be set to two control modes, one is the control mode of the general traditional air conditioner, which automatically controls the indoor parameters according to the change of the room load after the user sets the operation mode and the corresponding parameters; the other is the intelligent control based on the physiological state-air conditioner linkage rule associated with the smart air conditioner remote controller and the air conditioner equipment, so that the air conditioner equipment can meet the health needs of the user well, and can also quickly respond to the abnormal health of the user to prevent the abnormal health from further deteriorating, which is especially suitable for the elderly and patients. At this time, the remote controller is not only a control terminal for controlling the air conditioner, but also a health monitoring device, without the need to set a wearable device additionally, and more advantageously, the air conditioner is not only a refrigeration device for satisfying refrigeration and heating, but also an emergency rescue device (the smart air conditioner remote controller can be provided with an alarm function) for preventing the abnormal health of the user, greatly improving the use value of the traditional household electrical equipment.

[0140] Finally, it needs to be pointed out that: The order of the sequence numbers or the introduction of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments.

[0141] In several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other manners. Of course, the described unit embodiments are merely illustrative. For example, the division of the units can be different; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be implemented by using some interfaces, and the indirect couplings or communication connections can be implemented in electronic, mechanical, or other forms.

[0142] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed on multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0143] In addition, each functional unit in the various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0144] In the above embodiments, all or part can be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through wired (for example: coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (for example: infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be magnetic media (for example: floppy disk, hard disk, magnetic tape), optical media (for example: digital versatile disc (DVD)), or semiconductor media (for example: solid state disk (SSD)) and the like. It should be noted that the computer-readable storage medium mentioned in the embodiments of the present application can be a non-volatile storage medium, in other words, it can be a non-transitory storage medium. It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data for analysis, stored data, displayed data, etc.) and signals involved in the embodiments of the present application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions. For example, the scene data of the current frame in the three-dimensional virtual scene, the device information of the client, and the scene interaction information involved in the embodiments of the present application are all obtained under sufficient authorization.

[0145] The above only describes the preferred embodiments of the present application. It should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered within the scope of protection of the present application.

Claims

1. A smart air conditioner remote control, characterized in that, It includes a sensing module, a signal processing module, a main control module, and an infrared emitting module; The sensing module is used to collect the user's physiological state information and convert the collected information into electrical signals for output. The physiological state information includes body movement information and / or physiological parameters. The signal processing module is connected to the sensing module and is used to process the electrical signal output by the sensing module and then transmit it to the main control module. The main control module generates air conditioning control commands based on the received signals and sends them to the air conditioning equipment through the infrared transmitting module.

2. The intelligent air conditioner remote control according to claim 1, characterized in that, The sensing module and the air conditioning device are linked by a physiological state-air conditioning linkage rule. When the user's body movement information or physiological parameters obtained by the sensing module exceed a preset threshold, a specific mode of the air conditioning device is triggered to start.

3. The intelligent air conditioner remote control according to claim 1, characterized in that, The smart air conditioner remote control is also equipped with a multimodal perception fusion module, which integrates different types of physiological parameters of the user collected by the perception module to generate the user's comfort adjustment needs; The smart air conditioner remote control is also equipped with a storage module, which stores the current setting parameters and historical setting parameter data for each time the air conditioner is turned on. The main control module is configured to generate the air conditioning control command based on the comfort adjustment requirements, the current setting parameters, and historical setting parameter data.

4. The intelligent air conditioner remote control according to claim 3, characterized in that, The step of generating the air conditioning control command based on the comfort adjustment requirements, the current setting parameters, and historical setting parameter data includes: When the parameters to be adjusted for the comfort adjustment needs exceed the currently set parameters, the air conditioning equipment is instructed to start a specific mode based on the preset physiological state-air conditioning linkage rules. When the difference between the target value of the parameter adjustment for the comfort adjustment requirement and the parameter value of the currently set parameter is greater than a preset range, the target value of the parameter adjustment is corrected based on the user habits represented by historical set parameter data. If the target value of the current parameter adjustment is greater than the set value of the currently set parameter, the target value of the current parameter adjustment is appropriately reduced. If the target value of the current parameter adjustment is less than the set value of the currently set parameter, the target value of the current parameter adjustment is appropriately increased.

5. The intelligent air conditioner remote control according to claim 1, characterized in that, The sensing module is made of a flexible substrate material and integrates a strain sensing unit and a physiological parameter acquisition unit. The strain sensing unit consists of multiple strain gauges, and each strain gauge is connected to the signal processing module via a wire. The physiological parameter acquisition unit includes a temperature sensor and a heart rate sensor, used to monitor the user's body surface temperature and heart rate data in real time.

6. The intelligent air conditioner remote control according to claim 1, characterized in that, The main control module includes a microprocessor and a memory; The microprocessor is used to receive the electrical signal output by the signal processing module and generate air conditioning control instructions according to a preset algorithm. The preset algorithm includes an intent recognition algorithm based on a fusion action intent recognition model and a state recognition algorithm based on a physiological state analysis model. The memory stores various control logics to adapt to different user control needs.

7. The intelligent air conditioner remote control according to claim 1, characterized in that, It also includes a fault detection module, which is connected to the main control module; The fault detection module is used to monitor the working status of each functional module and issue an alarm when an anomaly is detected.

8. The intelligent air conditioner remote control according to claim 1, characterized in that, The sensing module has multiple switchable sensing sub-modules of different types. The smart air conditioner remote control also includes an expansion interface for connecting and switching different types of sensing modules. The main control module is also used to adjust the control logic according to the type of the current sensing module.

9. A control method for a smart air conditioner remote control, applied to the smart air conditioner remote control as described in any one of claims 1-8, characterized in that, Includes the following steps: Collect the user's physiological state information and convert it into electrical signals. The physiological state information includes body movement information and / or physiological parameters. Air conditioning control commands are generated based on the electrical signals; The control command is sent to the air conditioning equipment.

10. The control method according to claim 9, characterized in that, When no valid action signal is detected in the electrical signal, the system enters a low-power mode. In the low-power mode, the infrared emitting module and the signal processing module stop working; When the valid action signal is detected in the electrical signal, the infrared emitting module and the signal processing module are reactivated, and the control logic corresponding to each module is executed.

11. The control method according to claim 9, characterized in that, The method further includes: The operating mode of the air conditioner is adjusted based on the data output by the physiological parameter acquisition unit; When the user's body surface temperature is detected to be lower than a set threshold, the cooling request generated by the air conditioner per unit time is ignored. When a user's body surface temperature is detected to be higher than a set threshold, the heating request generated by the air conditioner per unit time is ignored.

12. An electronic device, characterized in that, include: The system includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the control method of the intelligent air conditioner remote control according to any one of claims 9 to 11.

13. A smart air conditioner, characterized in that, include: The smart air conditioner remote control as described in any one of claims 1-8, wherein it employs the control method of the smart air conditioner remote control as described in any one of claims 9 to 11, or includes the electronic device as described in claim 12.

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