Air conditioner indoor temperature correction control method and system

Abstract

The invention relates to the technical field of air conditioner control, in particular to an air conditioner indoor temperature correction control method and system. The method comprises the steps that a first temperature value T1 detected by an air inlet temperature sensor of the air conditioner is obtained; acquiring a second temperature value T2i detected by an indoor temperature sensor at a position i set by a user; according to the first temperature value T1 and the second temperature value T2i, a corrected indoor temperature Tc is obtained through weighted calculation; and according to the corrected indoor temperature Tc, the operation parameters of the air conditioner are controlled. The method aims at solving the problem that indoor temperature detection is inaccurate due to the fact that the position of an air inlet temperature sensor of an existing air conditioner is fixed, the indoor temperature sensor capable of being configured by a user is introduced, the corrected temperature is calculated in combination with weighted average, and therefore more accurate air conditioner control is achieved.

Description

Technical Field

[0001] This invention relates to the field of air conditioner control technology, and in particular to an indoor temperature correction control method and system for air conditioners. Background Technology

[0002] Air conditioners have become an indispensable device in modern homes and offices. Their core function is to maintain the indoor environment within a comfortable temperature range by adjusting parameters such as operating frequency and fan speed. Currently, most household split-type air conditioners have a temperature sensor at the air inlet of the indoor unit to detect the indoor return air temperature and approximate this value as the overall room temperature, thus participating in the closed-loop control of the air conditioning system.

[0003] However, this control method, which relies on a single air inlet temperature sensor, has inherent flaws. Due to the physical properties of air, temperature stratification is common in indoor spaces: in heating mode, hot air, being less dense, rises, resulting in a higher temperature in the upper part of the room and a lower temperature in areas where people are active (approximately 1-5 meters in height); in cooling mode, cold air, being more dense, sinks, resulting in a lower temperature in the lower part of the room and a higher temperature in the upper part.

[0004] Air conditioner air inlets are typically installed at the top of the indoor unit, close to the ceiling. Therefore, during heating, the air inlet sensor may detect the set temperature before the area where people are active, causing the control system to misjudge that the room is warm enough. This leads to prematurely reducing the operating frequency or fan speed, preventing the actual heating needs of the lower activity area from being met, resulting in a feeling of poor heating and slow temperature rise. Conversely, during cooling, the temperature detected by the air inlet sensor is consistently higher than the temperature in the activity area, causing the control system to misjudge that the room is not yet cool. This results in the system continuing to operate at high power, making the activity area too cold, causing both user discomfort and energy waste.

[0005] In existing technologies, although some solutions propose adding independent temperature sensors indoors, these are mostly used for simple temperature display or switching of a single signal source. They fail to fundamentally solve the problem of how to effectively integrate the temperature of the air inlet at a fixed location with the temperature of the activity area that the user cares about, and how to carry out intelligent and adaptive control according to different usage scenarios (such as cooling, heating, sleep, etc.).

[0006] Therefore, there is an urgent need in this field for an air conditioner temperature control method that can overcome the above-mentioned defects, and can more accurately reflect the temperature of the actual activity area of ​​people, thereby achieving precise, comfortable and efficient control. Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of the prior art and provide an indoor temperature correction control method and system for air conditioners. It aims to solve the problem of inaccurate indoor temperature detection caused by the fixed position of the air inlet temperature sensor in existing air conditioners. By introducing a user-configurable indoor temperature sensor and combining it with weighted average calculation to correct the temperature, more accurate air conditioning control can be achieved.

[0008] To achieve the above objectives, this application proposes an indoor temperature correction control system for an air conditioner, comprising: An air inlet temperature sensor is installed at the air inlet of the air conditioner to detect the first temperature value T1; Indoor temperature sensors are installed at different locations within the room to detect the second temperature value T2i at the corresponding location i. A communication module, installed inside the air conditioner, is used to establish a communication connection with the indoor temperature sensor to receive the second temperature value T2i; The processor, connected to the intake air temperature sensor and the communication module, is configured to: Based on the first temperature value T1 and the second temperature value T2i, the corrected indoor temperature Tc is obtained by weighted calculation. Based on the corrected indoor temperature Tc, a control signal is generated to control the operating parameters of the air conditioner; The corrected indoor temperature Tc is calculated using the following formula:

[0009] In the formula, For inlet air temperature weighting coefficient, Let k be the indoor temperature weighting coefficient for location i, and N be the total number of indoor temperature sensors installed indoors, satisfying k1+ =1, 0≤k1, ≤1; The control execution module, connected to the processor, is used to adjust the operating frequency and fan speed of the air conditioner according to the control signal. As a further solution, users can set the indoor temperature sensor and its location via a mobile terminal; wherein the mobile terminal is connected to a communication module and uploads relevant information about the indoor temperature sensor and its location.

[0010] On the other hand, the present invention also provides an indoor temperature correction control method for an air conditioner, which is applied to an indoor temperature correction control system for an air conditioner as described in the above technical solution, and includes the following steps: Step 1: Obtain the first temperature value T1 detected by the air inlet temperature sensor of the air conditioner; Step 2: Obtain the second temperature value T2i detected by the indoor temperature sensor at at least one user-defined location i; Step 3: Based on the first temperature value T1 and the second temperature value T2i, the corrected indoor temperature Tc is obtained through weighted calculation; Step 4: Control the operating parameters of the air conditioner according to the corrected indoor temperature Tc; The corrected indoor temperature Tc is calculated using the following formula:

[0011] In the formula, For inlet air temperature weighting coefficient, Let k be the indoor temperature weighting coefficient for location i, and N be the total number of indoor temperature sensors installed indoors, satisfying k1+ =1, 0≤k1, ≤1.

[0012] As a further solution, As a further solution, the inlet air temperature weighting coefficient k1 and the indoor temperature weighting coefficient The air conditioner automatically adjusts based on its factory default settings, preset control programs, or user-modified configurations.

[0013] As a further solution, an automatic temperature regulation strategy is set based on user needs; among which... When the user's demand focuses on the air conditioner's own intake air temperature feedback, the intake air temperature weighting coefficient k1 is greater than... ; When the user's needs emphasize the temperature feedback from the user-defined indoor temperature sensor, the intake air temperature weighting coefficient k1 is less than... ; When the user's requirement is to balance the air conditioner's own intake air temperature and the air conditioner's own intake air temperature feedback, the intake air temperature weighting coefficient k1 is equal to .

[0014] As a further solution, the relevant information of the indoor temperature sensor and its location is analyzed, and the indoor temperature weighting coefficient is adjusted based on the specific markings of the indoor temperature sensor and the operating mode of the air conditioner. It can be automatically adjusted.

[0015] As a further solution, when the air conditioner is in sleep mode and an indoor temperature sensor specifically marked as being located near the bed is detected: adjust the indoor temperature weighting coefficient corresponding to the indoor temperature sensor specifically marked as being near the bed. Set as a priority preset value; wherein the priority preset value is greater than 0.5.

[0016] As a further solution, when the air conditioner is operating in comfort mode: the indoor temperature weighting coefficient for each location. Set to equal values ​​and adjust the inlet air temperature weighting coefficient accordingly. .

[0017] As a further solution, when the air conditioner is operating in dehumidification mode: the intake air temperature weighting coefficient is adjusted. Set as a key preset value, and assign indoor temperature weighting coefficients to each location. Set to an equal value; wherein the preset value for the key point is greater than 0.5.

[0018] As a further solution, the relevant information of the indoor temperature sensors and their locations is analyzed. Based on the relative positions of the indoor temperature sensors and the current operating mode of the air conditioner, the indoor temperature weighting coefficient is adjusted. It can be automatically adjusted.

[0019] As a further solution, when the air conditioner is operating in high-power heating mode, the weighting coefficient of the indoor temperature corresponding to the lowest relative position is adjusted. Set to a relative maximum value; wherein, the relative maximum value is greater than the indoor temperature weighting coefficient for other locations. .

[0020] As a further solution, when the air conditioner is operating in high-power cooling mode, the weighting coefficient of the indoor temperature corresponding to the highest relative position is adjusted. Set to a relative maximum value; wherein, the relative maximum value is greater than the indoor temperature weighting coefficient for other locations. .

[0021] As a further solution, when the air conditioner is operating in normal cooling or normal heating mode, the indoor temperature weighting coefficient corresponding to the location closest to the center of the room will be applied. Set to a relative maximum value; wherein, the relative maximum value is greater than the indoor temperature weighting coefficient for other locations. .

[0022] Compared with related technologies, the indoor temperature correction control method and system for air conditioners provided by this invention have the following advantages: 1. More precise temperature control and significantly improved comfort: This invention effectively overcomes the detection deviation caused by temperature stratification by integrating the temperature information of the air inlet and the user's activity area, making the air conditioning control more in line with the real human body feeling and solving the problem of the lower body being cold when heating and the top of the head being cold when cooling.

[0023] 2. Smarter control and scenario-based adaptation: This invention can dynamically adjust the weight of each temperature source according to different operating modes (such as sleep, strong, dehumidification, etc.), so that the air conditioner can achieve precise control in specific scenarios (such as paying attention to the bedside temperature when sleeping) to meet personalized needs.

[0024] 3. More flexible system and better user experience: The invention supports users to add and set the positions of multiple temperature sensors, enabling the system to adapt to diverse indoor layouts and improving user participation and control freedom.

[0025] 4. More efficient operation and effective reduction of energy consumption: This invention avoids over-operation or insufficient capacity output of the air conditioner due to misjudgment of a single temperature, reducing energy waste while ensuring comfort, and has a significant energy-saving effect. Attached Figure Description

[0026] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0027] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0028] Figure 1 This is a schematic diagram illustrating the steps of an indoor temperature correction control method for an air conditioner provided by the present invention.

[0029] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0031] This invention provides an indoor temperature correction control system for an air conditioner, comprising: An air inlet temperature sensor is installed at the air inlet of the air conditioner to detect the first temperature value T1; Indoor temperature sensors are installed at different locations within the room to detect the second temperature value T2i at the corresponding location i. A communication module, installed inside the air conditioner, is used to establish a communication connection with the indoor temperature sensor to receive the second temperature value T2i; The processor, connected to the intake air temperature sensor and the communication module, is configured to: Based on the first temperature value T1 and the second temperature value T2i, the corrected indoor temperature Tc is obtained by weighted calculation. Based on the corrected indoor temperature Tc, a control signal is generated to control the operating parameters of the air conditioner; The corrected indoor temperature Tc is calculated using the following formula:

[0032] In the formula, For inlet air temperature weighting coefficient, Let k be the indoor temperature weighting coefficient for location i, and N be the total number of indoor temperature sensors installed indoors, satisfying k1+ =1, 0≤k1, ≤1; A control execution module, connected to the processor, is used to adjust the operating frequency and fan speed of the air conditioner according to the control signal.

[0033] This embodiment uses the temperature detected by the air conditioner itself and the temperature of sensors placed in different locations indoors to accurately reflect the actual temperature of the area where people are active, thereby solving the control deviation problem caused by the stratification of hot and cold air.

[0034] The system includes: an air inlet temperature sensor, which is installed at the air inlet of the air conditioner to detect the air return temperature of the air conditioner, as a first temperature value T1; Indoor temperature sensors are installed at different locations in the room. In this embodiment, one sensor is used as an example. The sensor can be placed by the user in areas where people frequently move around indoors, such as next to the sofa in the living room or the bedside table in the bedroom, to detect the temperature at its location i, which is used as the second temperature value T2i.

[0035] A communication module, located inside the air conditioner, establishes a wireless communication connection with the indoor temperature sensor to receive the second temperature value T2i detected by the sensor. Users can connect the air conditioner to the indoor temperature sensor via Bluetooth, NFC, or Wi-Fi through the air conditioner's mobile control terminal and set the location of the indoor temperature sensor.

[0036] The processor is configured to execute control programs stored in memory, specifically as follows: Receive the first temperature value T1 and the second temperature value T2i, and obtain the corrected indoor temperature Tc through weighted calculation; Based on the calculated corrected indoor temperature Tc, a control signal is generated to control the operating parameters of the air conditioner. The control execution module, connected to the processor, is used to control parameters such as the operating frequency and air supply speed of the air conditioner according to the control signal.

[0037] As a further solution, the user sets the indoor temperature sensor and its location via a mobile terminal; wherein the mobile terminal is connected to a communication module and uploads relevant information about the indoor temperature sensor and its location.

[0038] This embodiment utilizes an indoor temperature sensor that can be flexibly deployed by the user, and weights and fuses its temperature data with the air conditioner's own intake air temperature. This transforms the air conditioner's control benchmark from a fixed temperature near the ceiling to a corrected value that reflects the temperature of the area where people are active. This overcomes the interference of uneven indoor temperature field caused by the physical properties of air (hot air rises, cold air sinks) on the control system, significantly improving temperature control accuracy and user comfort.

[0039] like Figure 1 As shown, according to another embodiment of the present invention, an air conditioner indoor temperature correction control method, applied in an air conditioner indoor temperature correction control system as described in any of the above claims, includes the following steps: Step 1: Obtain the first temperature value T1 detected by the air inlet temperature sensor of the air conditioner; Step 2: Obtain the second temperature value T2i detected by the indoor temperature sensor at at least one user-defined location i; Step 3: Based on the first temperature value T1 and the second temperature value T2i, the corrected indoor temperature Tc is obtained through weighted calculation; Step 4: Control the operating parameters of the air conditioner according to the corrected indoor temperature Tc; The corrected indoor temperature Tc is calculated using the following formula:

[0040] In the formula, For inlet air temperature weighting coefficient, Let k be the indoor temperature weighting coefficient for location i, and N be the total number of indoor temperature sensors installed indoors, satisfying k1+ =1, 0≤k1, ≤1.

[0041] In one specific embodiment, the air conditioner is powered on and initializes its operating state. The processor loads the default operating mode (such as automatic mode, cooling mode, heating mode) or receives the operating mode command issued by the user via remote control / mobile terminal. The control execution module drives the compressor and fan to start running with default parameters according to the initial mode.

[0042] By acquiring the first temperature value T1 detected by the air inlet temperature sensor located at the air inlet of the air conditioner, this T1 value is used as a reference value for the current indoor temperature. Based on the air conditioner's current operating mode, the operating frequency and fan speed are controlled. After the air conditioner has run for a period of time and entered a relatively stable state, the following temperature data are collected: the first temperature value T1 from the air inlet temperature sensor and the second temperature value T2i from the indoor temperature sensor. Then, according to a preset weighting coefficient, a weighted average algorithm is used to calculate the corrected indoor temperature Tc. Based on the corrected indoor temperature Tc, the operating parameters of the air conditioner are controlled.

[0043] In a specific implementation process, we will elaborate on how to intelligently allocate and dynamically adjust the weighting coefficients when the system is connected to multiple indoor temperature sensors, so as to achieve more accurate temperature control that is adaptable to different scenarios.

[0044] The user successfully connected to three indoor temperature sensors via a mobile app and marked their locations: Sensor A is labeled "bedside" (assuming it is located in a lower position in the room). Sensor B is labeled "Center of Room" (located at mid-level height in the room). Sensor C is labeled "on the desk" (located at a higher position in the room). When multiple indoor temperature sensors are present, the formula for calculating the corrected indoor temperature Tc is extended as follows: Corrected indoor temperature Tc = T1*k1 + T21*k21 + T22*k22 + T23*k23 in: T1 is the value from the inlet air temperature sensor.

[0045] T21, T22, and T23 are the temperature values ​​detected by sensors A, B, and C, respectively.

[0046] k1, k21, k22, k23 are the corresponding weight coefficients, and satisfy k1+k21+k22+k23=1.

[0047] The weighting coefficients are not fixed, but are dynamically adjusted based on the current operating mode of the air conditioner and the location information of the sensors through a preset control program. The following explanation uses specific modes as examples: Scenario 1: Sleep Mode Ensure the temperature in the user's sleeping area is comfortable.

[0048] The system detects that the current operating mode is "sleep mode" and identifies the location of sensor A as "bedside". The control program randomly assigns weights: k21 (bedside sensor weight) is set to 0.6, while the weights of other sensors are appropriately reduced, for example, k1=0.2, k22=0.1, k23=0.1. This makes the air conditioning control primarily respond to temperature changes at the bedside, preventing the user from becoming too hot or too cold while sleeping.

[0049] Scenario 2: Powerful Heating Mode This solves the problem of cold feet caused by rising hot air and quickly raises the temperature in the lower parts of the activity area.

[0050] The system enters "powerful heating mode". Based on location information, sensor A, marked "bedside" (lower position), is determined to best reflect the area of ​​insufficient heating. Therefore, k21 is set to its maximum, for example, 0.5, while the weight k23 of sensor C, located at a higher position, is set to its minimum. A possible allocation scheme is: k1=0.2, k21=0.5, k22=0.2, k23=0.1.

[0051] Scenario 3: Powerful Cooling Mode To address the issue of head discomfort caused by the sinking of cold air, prioritize lowering the temperature in the upper part of the room.

[0052] Entering "Powerful Cooling Mode," sensor C, located "on the desk" (high up), is determined to best reflect the cooling demand. Therefore, k23 is set to its maximum value, for example, 0.5. A possible allocation scheme is: k1=0.2, k21=0.1, k22=0.2, k23=0.5.

[0053] Scenario 4: Normal Cooling / Heating Mode Ensure overall temperature balance and avoid localized overheating or undercooling.

[0054] In this mode, sensor B, located in the center (middle layer) of the room, is given the highest weight because it best represents the average temperature of the room. For example, k22 is set to 0.4, and other coefficients are averaged or allocated as appropriate.

[0055] Scene 5: Comfortable Wind Mode Create a uniform, imperceptible temperature environment.

[0056] Set the weights of all indoor temperature sensors to be equal, i.e., k21=k22=k23. For example, in the case of three sensors, each sensor has a weight of 0.25, and the remaining 0.25 is allocated to k1, in order to ensure that the temperature of the entire space is consistent.

[0057] Scene 6: Dehumidification Mode Dehumidification efficiency is closely related to the temperature and humidity of the return air, so it should rely more on the air conditioner's own intake air temperature sensor.

[0058] Set the weight k1 of the intake air temperature sensor to the maximum, for example, 0.6, while the weights of the three indoor sensors share the remaining 0.4 (for example, about 0.13 each).

[0059] In summary, this invention revolutionizes the traditional, single-point temperature measurement mode into a globally perceptive, focused "field-based temperature control" mode by constructing a dynamic temperature control system based on multi-source temperature sensing and intelligent weighting algorithms. The system intelligently analyzes sensor location information and air conditioner operating modes, dynamically adjusting weighting coefficients accordingly to achieve precise shaping of the indoor temperature field. This not only fundamentally compensates for temperature stratification caused by the physical properties of hot and cold air, solving the long-standing problem of discrepancies between perceived comfort and mechanical readings in air conditioning control, but also achieves an intelligent leap from passively responding to fixed temperatures to actively creating personalized comfortable environments, significantly improving the user experience and market competitiveness of the product.

[0060] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. An indoor temperature correction control system for an air conditioner, characterized in that, include: An air inlet temperature sensor is installed at the air inlet of the air conditioner to detect the first temperature value T1; Indoor temperature sensors are installed at different locations within the room to detect the second temperature value T2i at the corresponding location i. A communication module, installed inside the air conditioner, is used to establish a communication connection with the indoor temperature sensor to receive the second temperature value T2i; The processor, connected to the intake air temperature sensor and the communication module, is configured to: Based on the first temperature value T1 and the second temperature value T2i, the corrected indoor temperature Tc is obtained by weighted calculation. Based on the corrected indoor temperature Tc, a control signal is generated to control the operating parameters of the air conditioner; The corrected indoor temperature Tc is calculated using the following formula: In the formula, For inlet air temperature weighting coefficient, Let k be the indoor temperature weighting coefficient for location i, and N be the total number of indoor temperature sensors installed indoors, satisfying k1+ =1, 0≤k1, ≤1; A control execution module, connected to the processor, is used to adjust the operating frequency and fan speed of the air conditioner according to the control signal.

2. The indoor temperature correction control system for an air conditioner according to claim 1, characterized in that, Users set the indoor temperature sensor and its location via a mobile terminal; wherein the mobile terminal is connected to a communication module and uploads relevant information about the indoor temperature sensor and its location.

3. An indoor temperature correction control method for an air conditioner, applied in an indoor temperature correction control system for an air conditioner as described in any one of claims 1 to 2, characterized in that, Includes the following steps: Step 1: Obtain the first temperature value T1 detected by the air inlet temperature sensor of the air conditioner; Step 2: Obtain the second temperature value T2i detected by the indoor temperature sensor at the user-defined location i; Step 3: Based on the first temperature value T1 and the second temperature value T2i, the corrected indoor temperature Tc is obtained through weighted calculation; Step 4: Control the operating parameters of the air conditioner according to the corrected indoor temperature Tc; The corrected indoor temperature Tc is calculated using the following formula: In the formula, For inlet air temperature weighting coefficient, Let k be the indoor temperature weighting coefficient for location i, and N be the total number of indoor temperature sensors installed indoors, satisfying k1+ =1, 0≤k1, ≤1.

4. The method for correcting and controlling indoor temperature in an air conditioner according to claim 3, characterized in that, The weighting coefficient k1 for air inlet temperature and the weighting coefficient for indoor temperature The air conditioner automatically adjusts based on its factory default settings, preset control programs, or user-modified configurations.

5. The method for correcting and controlling indoor temperature in an air conditioner according to claim 4, characterized in that, The automatic temperature control strategy is set based on user needs; among which... When the user's demand focuses on the air conditioner's own intake air temperature feedback, the intake air temperature weighting coefficient k1 is greater than... ; When the user's needs emphasize the temperature feedback from the user-defined indoor temperature sensor, the intake air temperature weighting coefficient k1 is less than... ; When the user's requirement is to balance the air conditioner's own intake air temperature and the air conditioner's own intake air temperature feedback, the intake air temperature weighting coefficient k1 is equal to .

6. The method for correcting and controlling indoor temperature in an air conditioner according to claim 4, characterized in that, The system also analyzes information related to the indoor temperature sensor and its location, and adjusts the indoor temperature weighting coefficient based on the specific markings of the indoor temperature sensor and the air conditioner's operating mode. It can be automatically adjusted.

7. The method for correcting and controlling indoor temperature in an air conditioner according to claim 6, characterized in that, When the air conditioner is in sleep mode and an indoor temperature sensor specifically marked as being near the bed is detected: adjust the indoor temperature weighting coefficient corresponding to the indoor temperature sensor specifically marked as being near the bed. Set as a priority preset value; wherein the priority preset value is greater than 0.

5.

8. The method for correcting and controlling indoor temperature in an air conditioner according to claim 6, characterized in that, When the air conditioner is operating in Comfort mode: Indoor temperature weighting coefficients for each location. Set to equal values ​​and adjust the inlet air temperature weighting coefficient accordingly. .

9. The method for correcting and controlling indoor temperature in an air conditioner according to claim 6, characterized in that, When the air conditioner is operating in dehumidification mode: the intake air temperature weighting coefficient is adjusted. Set as a key preset value, and assign indoor temperature weighting coefficients to each location. Set to an equal value; wherein the preset value for the key point is greater than 0.

5.

10. The method for correcting and controlling indoor temperature in an air conditioner according to claim 4, characterized in that, The system also analyzes information related to the indoor temperature sensors and their locations, and adjusts the indoor temperature weighting coefficient based on the relative positions of the indoor temperature sensors and the current operating mode of the air conditioner. It can be automatically adjusted.

11. The method for correcting and controlling indoor temperature in an air conditioner according to claim 10, characterized in that, When the air conditioner is in high-power heating mode, the weighting coefficient of the indoor temperature corresponding to the lowest relative position will be applied. Set to a relative maximum value; wherein, the relative maximum value is greater than the indoor temperature weighting coefficient for other locations. .

12. The method for correcting and controlling indoor temperature in an air conditioner according to claim 10, characterized in that, When the air conditioner is in high-power cooling mode, the weighting coefficient of the indoor temperature corresponding to the highest relative position will be used. Set to a relative maximum value; wherein, the relative maximum value is greater than the indoor temperature weighting coefficient for other locations. .

13. The method for correcting and controlling indoor temperature in an air conditioner according to claim 10, characterized in that, When the air conditioner is in normal cooling or normal heating mode, the indoor temperature weighting coefficient corresponding to the location closest to the center of the room will be applied. Set to a relative maximum value; wherein, the relative maximum value is greater than the indoor temperature weighting coefficient for other locations. .

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