Air conditioner control method based on infrared induction temperature, air conditioner and storage medium

Abstract

The application provides an air conditioner control method based on infrared induction temperature, an air conditioner and a storage medium. The method comprises the following steps: when entering a heat exchange mode, obtaining a current indoor temperature of a current physical space; performing temperature adjustment control on the air conditioner according to the current indoor temperature; the step of obtaining the current indoor temperature of the current physical space comprises the following steps: obtaining temperature image data in the current physical space by using an infrared thermal imaging device; performing isothermal region division according to the temperature image data, obtaining an isothermal region temperature and an isothermal region area of each isothermal region; determining a weighted value of each isothermal region according to the isothermal region area and a total area of the current physical space; calculating a physical space average temperature of the current physical space according to all the isothermal region temperatures and the corresponding weighted values; and taking the physical space average temperature as the current indoor temperature of the current physical space. The air conditioner control method can improve the indoor temperature detection accuracy.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, specifically to an air conditioning control method based on infrared temperature sensing, an air conditioner using the infrared temperature sensing control method, and a computer-readable storage medium using the infrared temperature sensing control method. Background Technology

[0002] As people's living standards improve, their demands for temperature comfort in their living and working environments are increasing. Traditional temperature control systems often rely on contact sensors, which suffer from slow response and low accuracy. Infrared thermometry technology can measure temperature in real time and accurately, providing more comfortable and personalized temperature control.

[0003] Existing technologies primarily utilize infrared sensing technology and multiple temperature sensors, including a human body temperature sensor module, an air conditioner outlet temperature sensor, and an air conditioner inlet temperature sensor. However, in practical applications, when a person is in different positions, the human body temperature sensor within the air conditioner cannot accurately and in real-time read and process the air temperature data at the person's location, resulting in inappropriate air conditioner temperature settings that fail to meet the user's temperature requirements.

[0004] In one existing air conditioning control method, an infrared thermal imaging device is designed on the indoor unit's air guide plate to divide the indoor space into multiple temperature zones. The infrared thermal imaging device acquires infrared images of the room, determines the temperature data for each zone, and controls the air guide plate and fan to deliver air based on this data. As the air guide plate swings up and down, the ambient temperature of the entire room is monitored, revealing the temperature conditions in different zones. Based on this temperature, the fan speed and air guide plate sweeping speed are adjusted, thereby regulating the cooling capacity output and achieving precise temperature control by distributing cooling capacity to each zone.

[0005] However, this solution does not take into account the accuracy of overall indoor temperature detection, and therefore cannot improve the precision of control.

[0006] Therefore, it is necessary to consider more optimized air conditioning control methods. Summary of the Invention

[0007] The first objective of this invention is to provide an air conditioning control method based on infrared temperature sensing that can improve the accuracy of indoor temperature detection.

[0008] A second objective of this invention is to provide an air conditioner that can improve the accuracy of indoor temperature detection.

[0009] A third objective of this invention is to provide a computer-readable storage medium that can improve the accuracy of indoor temperature detection.

[0010] To achieve the first objective of this invention, the air conditioning control method based on infrared temperature sensing provided by this invention includes: when entering heat exchange mode, acquiring the current indoor temperature of the current physical space; adjusting and controlling the air conditioner according to the current indoor temperature; the step of acquiring the current indoor temperature of the current physical space includes: acquiring temperature image data within the current physical space using an infrared thermal imaging device; dividing the space into isothermal regions based on the temperature image data, and acquiring the isothermal region temperature and area of ​​each isothermal region; determining a weighted value for each isothermal region based on the isothermal region area and the total area of ​​the current physical space; calculating the average temperature of the current physical space based on all isothermal region temperatures and their corresponding weighted values; and using the average temperature of the physical space as the current indoor temperature of the current physical space.

[0011] As can be seen from the above scheme, the air conditioning control method based on infrared temperature sensing of the present invention acquires temperature image data within the current physical space using an infrared thermal imaging device when obtaining the current indoor temperature. It then determines isothermal regions, calculates a weighted value based on the area of ​​the isothermal region and the total area of ​​the current physical space, and uses this weighted value and the temperatures of all isothermal regions to calculate the average temperature of the physical space, thereby obtaining the current indoor temperature. This method can more accurately reflect the actual temperature of the entire space. If there is a small high-temperature region and a large low-temperature region within the space, the weighted average can reasonably reflect the influence of the small region on the overall temperature, avoiding misjudgments of the overall indoor temperature due to excessively high or low local temperatures, and improving the accuracy of indoor temperature detection.

[0012] In a further scheme, the step of dividing isothermal regions based on temperature image data includes: drawing isothermal curves based on temperature image data; drawing the smallest rectangular isothermal line that encloses each isothermal curve; and using the smallest rectangular isothermal line as the boundary line between two adjacent isothermal regions.

[0013] It is evident that, due to the irregular edges of isothermal curves, systems with limited computing power cannot accurately calculate the actual average temperature. Therefore, regularizing the isothermal curves using the smallest rectangular isotherm can facilitate calculation.

[0014] In a further proposed scheme, the average temperature of the physical space is obtained by the following formula: in, T represents the average temperature in physical space. n Let S be the temperature of the isothermal region, S be the area of ​​the current physical space, and d be the temperature of the isothermal region. n Let d be the length of the smallest rectangular isotherm. m The width of the minimum rectangular isotherm.

[0015] In a further proposed solution, the steps for adjusting and controlling the air conditioner's temperature based on the current indoor temperature include: determining the temperature adjustment level for each isothermal zone based on the isothermal zone temperature, adjusting the air conditioner's airflow direction according to the priority of the temperature adjustment level, and uniformly adjusting the temperature of the current physical space.

[0016] Therefore, by adjusting the air conditioner's airflow direction according to the priority corresponding to the temperature adjustment level of the isothermal zone, the temperature of the current physical space can be uniformly adjusted, which can improve the problem of excessive cooling and low temperature in the cold zone and high temperature in the hot zone.

[0017] In a further proposed solution, the step of determining the temperature regulation level of each isothermal zone based on the isothermal zone temperature includes: obtaining the current load demand of the isothermal zone, and determining the current temperature regulation level of the isothermal zone based on the load demand; the load demand and the temperature regulation level are positively correlated.

[0018] Therefore, by determining the temperature adjustment level of the current isothermal zone based on load demand, priority can be given to air blowing in areas with high load demand, thereby accelerating the uniformity of indoor temperature.

[0019] In a further proposed solution, the steps for adjusting the air conditioner's temperature based on the current indoor temperature include: upon confirming entry into sleep mode, acquiring a human body temperature change curve using an infrared thermal imaging device, adjusting the target temperature of the current physical space based on the human body temperature change curve, and adjusting the air conditioner's temperature based on the target temperature and the current indoor temperature.

[0020] Therefore, when entering sleep mode, the target temperature of the current physical space is adjusted according to the human body temperature change curve. This allows the air conditioner to intelligently set its operating temperature and status based on changes in human body temperature, thus improving the problem of poor sleep experience caused by unsuitable temperatures.

[0021] In a further embodiment, the steps for confirming entry into sleep mode include: if the current time is within a preset sleep time, and the infrared thermal imaging device confirms that the human body has not moved within the preset time, then the entry into sleep mode is confirmed.

[0022] Therefore, it can be seen that by determining whether to enter sleep mode based on the current time and whether the human body moves within a preset time, automatic adjustment can be achieved, thereby improving the user experience.

[0023] A further proposed solution, after confirming entry into sleep mode, also includes: increasing the sampling frequency of the infrared thermal imaging device for temperature detection.

[0024] Therefore, it can be seen that after entering sleep mode, increasing the sampling frequency of the infrared thermal imaging device for temperature detection can enable more precise temperature control and improve user comfort.

[0025] To achieve the second objective of the present invention, the present invention provides an air conditioner including a processor and a memory, the memory storing a computer program, which, when executed by the processor, implements the steps of the above-described air conditioning control method based on infrared temperature sensing.

[0026] To achieve the third objective of the present invention, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a controller, implements the steps of the above-described air conditioning control method based on infrared temperature sensing. Attached Figure Description

[0027] Figure 1 This is a flowchart of an embodiment of the air conditioning control method based on infrared temperature sensing of the present invention.

[0028] Figure 2 This is a flowchart of the step of obtaining the current indoor temperature of the current physical space in an embodiment of the air conditioning control method based on infrared temperature sensing of the present invention.

[0029] Figure 3 This is a flowchart illustrating the isothermal region division based on temperature image data in an embodiment of the air conditioning control method based on infrared temperature sensing of the present invention.

[0030] Figure 4 This is a flowchart of the steps for adjusting and controlling the air conditioner according to the current indoor temperature in an embodiment of the air conditioner control method based on infrared temperature sensing of the present invention.

[0031] The present invention will be further described below with reference to the accompanying drawings and embodiments. Detailed Implementation

[0032] Example of an air conditioning control method based on infrared temperature sensing:

[0033] The air conditioning control method based on infrared temperature sensing of the present invention is a computer program applied in an air conditioner for temperature regulation control of the air conditioner.

[0034] like Figure 1 As shown in this embodiment, the air conditioning control method based on infrared temperature sensing first executes step S1 to determine whether to enter heat exchange mode. When the user needs to enter the heat exchange mode for cooling or heating, it can be controlled via remote control or control panel, the operating parameters can be set, and control commands can be sent to the air conditioner.

[0035] If the heat exchange mode is not entered, continue with step S1 for continuous monitoring. If the heat exchange mode is confirmed to be entered, proceed to step S2 to obtain the current indoor temperature of the physical space. To enable the air conditioner to adjust its operating status in real time based on the indoor temperature for rapid temperature regulation, it is necessary to obtain the current indoor temperature of the physical space. This allows the compressor and fan to be adjusted according to the difference between the current indoor temperature and the preset temperature, ensuring the indoor temperature remains within the preset range.

[0036] In this embodiment, see Figure 2 When acquiring the current indoor temperature of the current physical space, step S11 is first executed to obtain temperature image data within the current physical space using an infrared thermal imaging device. The infrared thermal imaging device measures temperature based on the infrared radiation emitted by objects. All objects with temperatures above absolute zero radiate infrared radiation, and the detectors in the infrared thermal imaging device can sense the intensity of this infrared radiation. Through an optical system and signal processing circuitry, the intensity information of the infrared radiation is converted into electrical signals, thereby generating temperature image data. This is a technique well-known to those skilled in the art and will not be elaborated upon here.

[0037] After acquiring the temperature image data, step S12 is executed to divide the temperature image data into isothermal regions, obtaining the isothermal region temperature and area for each isothermal region. Image processing algorithms are used to analyze the temperature image data, grouping pixels with similar temperatures into isothermal regions. For each isothermal region, the isothermal region temperature can be calculated by statistically analyzing the temperature values ​​of the pixels within that region. For example, statistical methods such as averaging or medianing can be used to determine the representative temperature of the region. In this embodiment, regions with a temperature difference less than a preset temperature difference are divided into isothermal regions.

[0038] See Figure 3In this embodiment, when dividing the isothermal region based on temperature image data, step S21 is executed: isothermal curves are drawn based on the temperature image data, and the smallest rectangular isothermal line enclosing each isothermal curve is drawn. The technique of drawing isothermal curves based on temperature image data is well-known to those skilled in the art and will not be elaborated upon here. For each drawn isothermal curve, the x-coordinate of the leftmost pixel, the x-coordinate of the rightmost pixel, the y-coordinate of the topmost pixel, and the y-coordinate of the bottommost pixel in the image are found. These coordinate values ​​are used to determine the rectangular range enclosing the isothermal curve. For example, in an isothermal curve, the x-coordinate of the leftmost pixel is 10, the rightmost pixel is 50, the topmost pixel is 20, and the bottommost pixel is 30, thus initially determining the four boundaries of the rectangle. Based on the determined coordinates of the four boundaries, a rectangle is drawn that completely encloses the corresponding isothermal curve while ensuring that its area is minimized. This minimum rectangular isotherm can summarize the approximate area where the isotherm curve is located in a simple geometric shape, which facilitates subsequent operations such as region division.

[0039] After obtaining the minimum rectangular isotherm, step S22 is executed, using the minimum rectangular isotherm as the boundary line between two adjacent isothermal regions. Once the minimum rectangular isotherm is determined, it serves as the boundary line dividing the two isothermal regions. In this way, different isothermal regions in the entire temperature image are clearly separated by these minimum rectangular isotherms, allowing for a direct visual observation of the regional distribution corresponding to different temperature levels. This facilitates subsequent analysis of temperature spatial distribution characteristics and temperature calculations.

[0040] After dividing the region into isothermal areas, the temperature of each isothermal region can be calculated by statistically analyzing the temperature values ​​of the pixels within that region. For example, statistical methods such as calculating the average or median can be used to determine the representative temperature of the region. The area of ​​the isothermal region can be further obtained by calculating the area of ​​the smallest rectangular isotherm.

[0041] After obtaining the temperature and area of ​​the isothermal regions, step S13 is executed to determine the weighting value of each isothermal region based on its area and the total area of ​​the current physical space. The weighting value of each isothermal region is calculated by comparing its area with the total area of ​​the current physical space. Assuming the total area of ​​the current physical space is S, and the area of ​​a certain isothermal region is S1, then the weighting value of that isothermal region is S1 / S. This weighting value represents the relative importance of the isothermal region within the entire physical space; the larger the isothermal region, the greater its impact on the overall average temperature.

[0042] After determining the weighting value for each isothermal region, step S14 is executed to calculate the average physical space temperature based on the temperatures of all isothermal regions and their corresponding weighting values. Once the temperature and corresponding weighting value of each isothermal region are determined, the average physical space temperature can be calculated using a weighted average method. In this embodiment, the average physical space temperature is obtained using the following formula: in, T represents the average temperature in physical space. n Let S be the temperature of the isothermal region, S be the area of ​​the current physical space, and d be the temperature of the isothermal region. n Let d be the length of the smallest rectangular isotherm. m Let n be the width of the minimum rectangular isotherm, and n and m be equal. The maximum value of n and m is equal to the number of isothermal regions. The meaning of this formula is to sum the temperatures of each isothermal region according to its importance (weighted value) in the entire space, and the result is the average temperature that can represent the entire physical space.

[0043] After obtaining the average temperature of the current physical space, step S15 is executed to use the average temperature of the physical space as the current indoor temperature of the current physical space. The average temperature of the physical space can comprehensively reflect the thermal state of the entire indoor space. Using the calculated average temperature of the physical space as the current indoor temperature of the current physical space can more accurately describe the actual indoor temperature situation compared with the traditional single-point temperature measurement method.

[0044] After obtaining the current indoor temperature of the physical space, step S3 is executed to adjust the air conditioner's temperature based on the current indoor temperature. The current indoor temperature is compared with the set target temperature range. If the current indoor temperature is higher than the upper limit of the target range (e.g., the target range is 22℃-26℃, and the current temperature is 28℃), a cooling command is sent to the air conditioner to activate cooling mode and lower the indoor temperature. Simultaneously, the cooling intensity can be determined based on the magnitude of the temperature difference; the larger the difference, the greater the cooling power or the lower the set temperature can be, allowing the indoor temperature to drop to the target range as quickly as possible. For example, the air conditioner's set temperature can be lowered by 0.5℃ for every 1℃ above the upper limit of the target range. If the current indoor temperature is lower than the lower limit of the target range (e.g., the current temperature is 20℃, and the target range is 22℃-26℃), a heating command is sent to the air conditioner to switch to heating mode and raise the indoor temperature. Similarly, the heating intensity can be adjusted based on the temperature difference below the lower limit; the larger the difference, the greater the heating power or the higher the set temperature can be, prompting the indoor temperature to rise to the target range. For example, for every 1°C below the target range's lower limit, the air conditioner's set temperature can be increased by 0.5°C. If the current indoor temperature is within the set target range, the air conditioner can maintain its current operation or remain in standby mode, simply monitoring the indoor temperature to ensure it remains stable within the target range.

[0045] In this embodiment, the step of adjusting the air conditioner's temperature based on the current indoor temperature includes: determining the temperature adjustment level of each isothermal zone based on the isothermal zone temperature, adjusting the air conditioner's airflow direction according to the priority of the temperature adjustment level, and uniformly adjusting the temperature of the current physical space. Specifically, the step of determining the temperature adjustment level of each isothermal zone based on the isothermal zone temperature includes: obtaining the load demand of the current isothermal zone, and determining the temperature adjustment level of the current isothermal zone based on the load demand; the load demand and the temperature adjustment level are positively correlated.

[0046] When prioritizing temperature control levels, they can be arranged from highest to lowest, prioritizing areas where the temperature deviates significantly from the comfortable range. The airflow direction should be adjusted based on the air conditioner's adjustable airflow function, the indoor space layout, and the air conditioner's installation location. If a high-temperature control area is located in the upper left corner of the space, adjust the air conditioner's airflow towards that area to quickly lower the temperature and create a more uniform indoor temperature. Similarly, if a low-temperature control area exists, adjust the airflow accordingly to ensure the airflow reaches that area and raises its temperature. By adjusting the air conditioner's airflow direction based on the priority of the temperature control levels corresponding to isothermal zones, the temperature in the current physical space can be uniformly adjusted, improving the problem of excessive cooling and excessively low temperatures in cold areas, and excessively high temperatures in hot areas.

[0047] In addition, in this embodiment, see Figure 4 When adjusting the air conditioner temperature based on the current indoor temperature, step S31 is executed to determine whether to enter sleep mode. Human body temperature changes during sleep; for example, it may be slightly higher at the beginning of sleep and gradually decreases as one enters deep sleep. According to research on human thermal comfort, the human body requires different suitable ambient temperatures at different stages of sleep. Generally, as the body temperature gradually decreases after falling asleep, the indoor ambient temperature should be appropriately increased to maintain a stable body temperature, making the user feel more comfortable. This also helps improve sleep quality and prevents catching a cold or waking up cold.

[0048] In this embodiment, the step of confirming entry into sleep mode includes: if the current time falls within a preset sleep time, and the infrared thermal imaging device confirms that the human body has not moved within the preset time, then entry into sleep mode is confirmed. The preset sleep time can be set according to the user's sleep schedule; for example, the sleep time can be set to 11 PM to 6 AM the next day, and this time period will be the basis for subsequent judgments on whether to enter sleep mode. The preset time can be preset based on experimental data; for example, the preset time is 15 minutes. When the current time falls within the preset sleep time range, further detection of the human body's state is used to finally determine whether to enter sleep mode. For example, at 11:10 PM, if the system detects that the current time is within the preset sleep time interval, it will initiate the next step of detecting human movement. If the relative position of the human body in the thermal imaging image remains unchanged within the preset time, it can be considered that the human body is stationary and has not moved, and then entry into sleep mode is confirmed. Confirming entry into sleep mode by checking the current time and whether the human body moves within the preset time allows for automatic adjustment and improves the user experience.

[0049] Of course, in order to improve the accuracy of the judgment and avoid misjudgment, other auxiliary information can be combined for comprehensive judgment. For example, monitoring the indoor sound conditions (such as if it is quiet for a long time) can help to more accurately confirm whether the person has entered sleep mode.

[0050] If sleep mode is not confirmed, step S31 continues with continuous monitoring, while the air conditioner maintains its current operating state. Once sleep mode is confirmed, step S32 is executed, acquiring a human body temperature change curve using an infrared thermal imaging device. The target temperature of the current physical space is then adjusted based on this curve. In sleep mode, the infrared thermal imaging device continuously measures the human body surface temperature at regular time intervals (e.g., every 5 minutes), recording the temperature values ​​at different points in time to gradually form a human body temperature change curve. This curve reflects the changes in body temperature during sleep; for example, body temperature may be slightly higher at the beginning of sleep, gradually decreasing as deep sleep progresses. After obtaining the human body temperature change curve, the target temperature of the current physical space is adjusted based on its specific characteristics. This adjustment range and time interval can be determined based on the magnitude and rate of the decrease or increase in body temperature. For example, for every 0.5°C decrease in body temperature, the target temperature of the current physical space is increased by 1°C, and the body temperature change is checked every half hour to determine whether further adjustment is needed.

[0051] After obtaining the target temperature, step S33 is executed to adjust and control the air conditioner's temperature based on the target temperature and the current indoor temperature. By using the determined target temperature and the real-time monitored current indoor temperature, the temperature of the current physical space is adjusted to maintain it within the target temperature range. During the air conditioner's temperature adjustment process, the indoor environment may be affected by various factors such as the opening and closing of doors and windows and changes in outdoor temperature. Therefore, the operating status of the air conditioner (including cooling / heating intensity, fan speed, and other parameters) must be dynamically adjusted based on this real-time monitored data to ensure that the indoor temperature always follows the changes in body temperature during sleep and remains within a suitable target temperature range, creating a comfortable sleeping environment for the user.

[0052] Furthermore, in this embodiment, after executing step S31 and confirming entry into sleep mode, the method further includes: increasing the sampling frequency of the infrared thermal imaging device for temperature detection. Increasing the sampling frequency of the infrared thermal imaging device for temperature detection after entering sleep mode allows for more precise temperature control, improving user comfort.

[0053] As described above, the air conditioning control method based on infrared temperature sensing of the present invention acquires temperature image data within the current physical space using an infrared thermal imaging device when obtaining the current indoor temperature. It then identifies isothermal regions, determines a weighted value based on the area of ​​the isothermal region and the total area of ​​the current physical space, and calculates the average temperature of the physical space using the weighted value and the temperatures of all isothermal regions. This provides a more accurate reflection of the actual temperature of the entire space. If there is a small high-temperature region and a large low-temperature region within the space, the weighted average can reasonably reflect the influence of the small region on the overall temperature, avoiding misjudgments of the overall indoor temperature due to excessively high or low local temperatures, thus improving the accuracy of indoor temperature detection.

[0054] Air conditioner example:

[0055] The air conditioner in this embodiment includes a controller, which executes the steps in the above-described embodiment of the air conditioning control method based on infrared temperature sensing when executing a computer program.

[0056] For example, a computer program can be divided into one or more modules, one or more of which are stored in memory and executed by a controller to complete the present invention. One or more modules can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in an air conditioner.

[0057] An air conditioner may include, but is not limited to, a controller and a memory. Those skilled in the art will understand that an air conditioner may include more or fewer components, or a combination of certain components, or different components; for example, an air conditioner may also include input / output devices, network access devices, buses, etc.

[0058] For example, the controller can be a Central Processing Unit (CPU), or other general-purpose controllers, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose controller can be a microcontroller or any conventional controller. The controller is the control center of the air conditioner, connecting all parts of the air conditioner through various interfaces and lines.

[0059] The memory can be used to store computer programs and / or modules. The controller implements various functions of the air conditioner by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. For example, the memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (e.g., sound receiving function, sound-to-text function, etc.); the data storage area may store data created based on the use of the mobile phone (e.g., audio data, text data, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0060] Examples of computer-readable storage media:

[0061] If the modules integrated into the air conditioner in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the air conditioner control method based on infrared temperature sensing can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by the controller, it can implement the steps of the above embodiments of the air conditioner control method based on infrared temperature sensing. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The storage medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in computer-readable media may be appropriately added to or subtracted from the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, computer-readable media may not include electrical carrier signals and telecommunication signals, in accordance with legislation and patent practice.

[0062] It should be noted that the above are only preferred embodiments of the present invention, but the design concept of the invention is not limited thereto. Any non-substantial modifications made to the present invention using this concept also fall within the protection scope of the present invention.

Claims

1. An air conditioning control method based on infrared temperature sensing, comprising: When entering heat exchange mode, obtain the current indoor temperature of the current physical space; The air conditioner is adjusted and controlled according to the current indoor temperature. Its features are: The steps to obtain the current indoor temperature of the current physical space include: Temperature image data within the current physical space is acquired using an infrared thermal imaging device; Based on the temperature image data, isothermal regions are divided, and the isothermal temperature and isothermal area of ​​each isothermal region are obtained. The weighted value of each isothermal region is determined based on the area of ​​the isothermal region and the total area of ​​the current physical space. The average physical space temperature of the current physical space is calculated based on the temperatures of all the isothermal regions and the corresponding weighted values. The average temperature of the physical space is taken as the current indoor temperature of the physical space. The step of dividing the isothermal region based on the temperature image data includes: Isothermal curves are drawn based on the temperature image data, and the smallest rectangular isothermal line enclosing each isothermal curve is drawn based on each isothermal curve. The smallest rectangular isotherm is used as the boundary line between two adjacent isothermal regions; The step of drawing the smallest rectangular isotherm line enclosing each isotherm curve includes: determining the rectangular range enclosing the isotherm curve based on the horizontal coordinate value of the leftmost pixel point, the horizontal coordinate value of the rightmost pixel point, the vertical coordinate value of the topmost pixel point, and the vertical coordinate value of the bottommost pixel point of each isotherm curve in the image.

2. The air conditioning control method based on infrared temperature sensing according to claim 1, characterized in that: The average temperature of the physical space is obtained by the following formula: ； in, T represents the average temperature in physical space. n The temperature of the isothermal region is S, the area of ​​the current physical space is d. n Let d be the length of the smallest rectangular isotherm. m The width of the minimum rectangular isotherm.

3. The air conditioning control method based on infrared temperature sensing according to claim 1 or 2, characterized in that: The steps for adjusting and controlling the air conditioner's temperature based on the current indoor temperature include: Based on the temperature of the isothermal zone, the temperature adjustment level of each isothermal zone is determined, and the airflow direction of the air conditioner is adjusted according to the priority of the temperature adjustment level to uniformly adjust the temperature of the current physical space.

4. The air conditioning control method based on infrared temperature sensing according to claim 3, characterized in that: The step of determining the temperature adjustment level of each isothermal zone based on the isothermal zone temperature includes: Obtain the load demand of the current isothermal region, and determine the temperature regulation level of the current isothermal region based on the load demand; The load demand is positively correlated with the temperature regulation level.

5. The air conditioning control method based on infrared temperature sensing according to claim 1 or 2, characterized in that: The steps for adjusting and controlling the air conditioner's temperature based on the current indoor temperature include: When entering sleep mode, the infrared thermal imaging device acquires the human body temperature change curve, and the target temperature of the current physical space is adjusted according to the human body temperature change curve. The air conditioner is used to adjust and control the temperature based on the target temperature and the current indoor temperature.

6. The air conditioning control method based on infrared temperature sensing according to claim 5, characterized in that: The steps to confirm entering sleep mode include: If the current time is within the preset sleep time, and the infrared thermal imaging device confirms that the human body has not moved within the preset time, then the sleep mode is confirmed to be entered.

7. The air conditioning control method based on infrared temperature sensing according to claim 5, characterized in that: After confirming entry into sleep mode, the following also applies: Increase the sampling frequency of the infrared thermal imaging device for temperature detection.

8. An air conditioner, comprising a processor and a memory, characterized in that: The memory stores a computer program that, when executed by the processor, implements the steps of the air conditioning control method based on infrared temperature sensing as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the controller, it implements the steps of the air conditioning control method based on infrared temperature sensing as described in any one of claims 1 to 7.

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