Indoor temperature correction control system of air conditioner

Abstract

The invention provides an indoor temperature correction control system of an air conditioner. The system comprises an air inlet temperature sensor, at least one movable indoor temperature sensor, a communication module, a processor and a control execution module. A user can place the indoor temperature sensors in areas which are focused on, weight coefficients are set for the indoor temperature sensors, the processor obtains corrected indoor temperature through weighted calculation based on the air inlet temperature, the temperatures of the sensors and the weights of the sensors, recognizes the key area with the highest weight and orientation and distance information of the key area, and controls the indoor temperature of the air conditioner by dynamically generating control signals. And the control execution module carries out integrated cooperative adjustment on the operation frequency, the air speed and the air guide direction of the air conditioner. According to the method, personalized and precise temperature control over the areas of key attention of the user is achieved, and the indoor thermal comfort uniformity and the air conditioner operation energy efficiency are effectively improved.

Description

Technical Field

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

[0002] Air conditioners have become an indispensable environmental control device in modern buildings. Their core function is to maintain the indoor temperature within the user-set comfort range by adjusting parameters such as operating frequency and airflow speed. Currently, most household split-type air conditioners rely on a temperature sensor installed at the air inlet of the indoor unit to detect the indoor temperature. The temperature value (T1) detected by this sensor is taken as the current indoor temperature by the control system and used as a feedback signal to control the compressor's operating frequency and the fan's airflow speed.

[0003] However, this control method based on single-location temperature detection has inherent drawbacks. It struggles to meet users' increasingly personalized and refined demands for air conditioning comfort, specifically in the following ways: First, indoor airflow is influenced by various factors such as air supply characteristics, furniture layout, room structure, and air conditioner installation location, resulting in an uneven indoor temperature distribution. The rate of temperature change at the location of the air inlet sensor is not synchronized with the temperature changes in specific functional areas that users are more concerned about (such as sofa rest areas, crib areas, dining areas, or study work areas). This can cause the air conditioner to adjust based on an "atypical" or "lagging" temperature signal, resulting in the target area being too cold, too hot, or experiencing slow adjustment, thus affecting the user experience.

[0004] Secondly, users' temperature sensitivity and needs vary depending on the activity area. For example, users may want a warmer sleeping area, a cooler living room entertainment area, or to ensure a constant, comfortable temperature near the crib. Existing technologies cannot identify and differentiate these varied regional needs, and can only provide a uniform, overall or average temperature control, lacking the ability to target specific "key areas" that users care about more.

[0005] Therefore, we need to propose a system that can integrate temperature information from multiple locations, sense users' personalized temperature control needs for specific areas, and dynamically adjust the air supply direction and speed to achieve precise air supply and balanced indoor temperature control in key areas. This would break through the limitations of the current single-point temperature control mode and ultimately improve the comfort of different functional areas and the overall energy efficiency of the air conditioner. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide an indoor temperature correction control system for air conditioners. The system aims to dynamically calculate an indoor temperature that is closer to the actual feeling of the user by using an intelligent correction algorithm that integrates multi-sensor data, distance perception and user preference settings. Based on this, the system will adjust the air supply direction, wind speed and operating frequency of the air conditioner in a coordinated manner to achieve precise air supply and balanced control of indoor temperature in key areas.

[0007] To achieve the above objectives, this application proposes an indoor temperature correction control system for an air conditioner, comprising: Fans are used to control the airflow speed of air conditioners; An air inlet temperature sensor is installed at the air inlet of the air conditioner to detect the first temperature value T1; At least one movable indoor temperature sensor is connected to the air conditioner via a wireless communication signal and is used to detect a 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 and the air conditioner remote control to receive the second temperature value T2i and the target temperature value set by the air conditioner remote control. The processor, connected to the intake air temperature sensor and the communication module, is configured to: Obtain the first temperature value T1 and the second temperature value T2i; Obtain the weighting coefficients set for each temperature sensor, and calculate the corrected indoor temperature Tc through weighted summation; Based on the temperature difference between the corrected indoor temperature Tc and the target temperature value, a control signal is generated to control the operating parameters of the air conditioner. The corrected indoor temperature is calculated using the following formula:

[0008] In the formula, The inlet air temperature weighting coefficient is used. 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.

[0009] As a further solution, the air conditioner is also equipped with an air guiding mechanism for controlling the airflow direction of the air conditioner.

[0010] As a further solution, the processor is further configured as follows: Identify the indoor temperature sensor with the largest indoor temperature weighting coefficient and its corresponding location i; Determine the relative position information between the location i and the air conditioner; Based on the relative position information and the temperature difference between the corrected indoor temperature Tc and the target temperature value, a control signal is generated to control the operating parameters of the air conditioner. The control execution module adjusts the operating frequency, fan speed, and airflow direction of the air conditioner according to the control signal.

[0011] As a further solution, based on the user's input description of the position of each indoor temperature sensor relative to the air conditioner, and through AI semantic analysis, the position description is analyzed and processed to determine the relative position information of position i relative to the air conditioner.

[0012] As a further solution, the corresponding wind speed and airflow direction control rules are matched based on the current operating mode of the air conditioner, the relative position information of position i with respect to the air conditioner, and the preset temperature trigger threshold; wherein, the temperature trigger threshold is composed of a high temperature trigger threshold and a low temperature trigger threshold.

[0013] As a further solution, when the current operating mode is cooling mode, the fan speed and airflow direction control rules are set as follows: If the temperature difference is greater than the high temperature trigger threshold, the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is selectively increased. If the temperature difference is less than the low temperature trigger threshold, the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the airflow direction is controlled to avoid the position i and the wind speed is selectively reduced.

[0014] As a further solution, when the current operating mode is heating mode, the wind speed and airflow direction control rules are set as follows: If the temperature difference is greater than the high temperature trigger threshold, the position i corresponding to the indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the airflow direction is controlled to avoid the position i and the wind speed is selectively reduced. If the temperature difference is less than the low temperature trigger threshold, the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the airflow direction is controlled to be towards the position i and the wind speed is selectively increased.

[0015] As a further solution, the processor is further configured as follows: Obtain the location i of the indoor temperature sensor and the distance d between it and the air conditioner; Determine the relative position information between the location i and the air conditioner; Based on the relative position information, the temperature difference between the corrected indoor temperature Tc and the target temperature value, and the distance parameter d, a control signal is generated to control the operating parameters of the air conditioner. The control execution module adjusts the operating frequency, fan speed, and airflow direction of the air conditioner according to the control signal.

[0016] As a further solution, the corresponding wind speed and airflow direction control rules are matched based on the current operating mode of the air conditioner, the relative position information of position i to the air conditioner, the distance parameter d, and the preset temperature trigger threshold and distance trigger threshold; wherein, the temperature trigger threshold is composed of a high temperature trigger threshold and a low temperature trigger threshold.

[0017] As a further solution, the distance parameter d is calculated using the wireless communication signal between the indoor temperature sensor and the communication module; wherein, the calculation method for the distance parameter d includes signal strength ranging calculation based on communication signal strength, and signal time-of-flight ranging calculation based on signal transmission time. As a further solution, when the current operating mode is cooling mode, the fan speed and airflow direction control rules are set as follows: If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is increased. If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is maintained. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to avoid the position i and the wind speed is maintained. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the airflow direction is controlled to avoid the position i and the wind speed is reduced.

[0018] As a further solution, when the current operating mode is heating mode, the wind speed and airflow direction control rules are set as follows: If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air guiding direction is controlled to avoid the position i and the wind speed is maintained. If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guide direction is controlled to avoid the position i and the wind speed is reduced. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is increased. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the airflow direction is controlled to be towards the position i and the wind speed is maintained.

[0019] Compared with related technologies, the indoor temperature correction control system for air conditioners provided by this invention has the following advantages: This invention achieves personalized zone temperature control. Traditional air conditioners only rely on a single intake air temperature for overall control, failing to recognize and respond to users' temperature differences in different functional areas (such as infant sleeping areas and sofa rest areas). This invention allows users to independently deploy movable temperature sensors and customize the weights of each point, enabling the air conditioner to proactively identify and prioritize maintaining a comfortable temperature in areas of high user concern, thus providing a personalized temperature control experience. Furthermore, this invention uses weighted fusion calculations based on multi-sensor data to obtain a corrected temperature that more closely resembles real-world comfort, dynamically coordinating the air conditioner's fan speed and operating frequency. This allows the air conditioner to deliver airflow and cool / heat to the areas most requiring control, effectively solving the problem of uneven heating and cooling caused by factors such as airflow attenuation and spatial layout, significantly improving the uniformity and stability of the indoor temperature field, and enhancing the overall comfort consistency of the space. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of an indoor temperature correction control system for an air conditioner provided by the present invention. Detailed Implementation

[0021] 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.

[0022] This invention provides an indoor temperature correction control system for an air conditioner, comprising: Fans are used to control the airflow speed of air conditioners; An air inlet temperature sensor is installed at the air inlet of the air conditioner to detect the first temperature value T1; At least one movable indoor temperature sensor is connected to the air conditioner via a wireless communication signal and is used to detect a 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 and the air conditioner remote control to receive the second temperature value T2i and the target temperature value set by the air conditioner remote control. The processor, connected to the intake air temperature sensor and the communication module, is configured to: Obtain the first temperature value T1 and the second temperature value T2i; Obtain the weighting coefficients set for each temperature sensor, and calculate the corrected indoor temperature Tc through weighted summation; Based on the temperature difference between the corrected indoor temperature Tc and the target temperature value, a control signal is generated to control the operating parameters of the air conditioner. The corrected indoor temperature is calculated using the following formula:

[0023] In the formula, The inlet air temperature weighting coefficient is used. 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.

[0024] This embodiment provides an indoor temperature correction control system for an air conditioner. By deploying at least one movable indoor temperature sensor indoors, weighted correction is performed in conjunction with the intake air temperature, and the air conditioner operating parameters are dynamically adjusted according to user settings and sensor locations, thereby achieving personalized and precise temperature control.

[0025] Specifically, this system includes the following components: Air inlet temperature sensor: Located at the air inlet of the air conditioner, used to detect the first indoor temperature value T1.

[0026] At least one portable indoor temperature sensor: This can be a single sensor placed in different locations indoors, or multiple sensors placed in different locations indoors, such as the center of the living room, the head of the bed in the bedroom, or areas where people are active, to detect a second temperature value T2i.

[0027] Communication module: Integrated within the air conditioner, supporting Bluetooth and Wi-Fi communication protocols. This module is used to establish a communication connection between the indoor temperature sensor and the air conditioner remote control, receiving the second temperature value T2i and the target temperature value set on the air conditioner remote control.

[0028] Processor: Connected to the intake air temperature sensor and communication module, it serves as the control core of the system. It is configured to perform the following main functions: Receive and process the first temperature value T1 from the air inlet temperature sensor and the second temperature value T2i from each indoor temperature sensor. Obtain the weighting coefficients (k1, k2i) set by the user for each temperature sensor. These coefficients can be customized by the user through the air conditioner remote control or the associated mobile application to reflect the degree of importance they attach to the temperature of different areas. According to the formula The corrected indoor temperature Tc is calculated, which more comprehensively reflects the overall temperature status of the area of ​​concern to the user. The corrected indoor temperature Tc is compared with the target temperature set by the user, and the difference is calculated.

[0029] Based on the temperature difference mentioned above, and combined with the current operating mode (cooling / heating), a corresponding control signal is generated to reduce the temperature difference. For example, in cooling mode, if Tc is higher than the target temperature, a control command is generated to increase the compressor operating frequency or increase the fan speed.

[0030] The control execution module is connected to the processor, receives the control signals generated by the processor, controls the compressor's frequency converter to adjust the operating frequency, and controls the fan's motor driver to adjust the air delivery speed, thereby executing the temperature regulation commands issued by the processor.

[0031] When in operation, the user first sets up sensors and sets weights. After the air conditioner is turned on, the processor continuously collects multiple temperature data, performs weighted calculations and logical judgments, and dynamically adjusts the air conditioner's operating status through the control execution module, ultimately achieving stable and comfortable temperature control for the area of ​​interest to the user.

[0032] Furthermore, the processor is further configured to: Identify the indoor temperature sensor with the largest indoor temperature weighting coefficient and its corresponding location i; Determine the relative position information between the location i and the air conditioner; Based on the relative position information and the temperature difference between the corrected indoor temperature Tc and the target temperature value, a control signal is generated to control the operating parameters of the air conditioner. The control execution module adjusts the operating frequency, fan speed, and airflow direction of the air conditioner according to the control signal.

[0033] In order to achieve dynamic wind direction and parameter coordination adjustment in areas of key concern to users, in this embodiment, the weighting coefficient k2i set by the user for each indoor temperature sensor is read in real time, compared and determined to be the coefficient with the largest value, and the location of the indoor temperature sensor is recorded as i.

[0034] The relative position information between position i and the air conditioner is obtained. Based on this relative position information and the overall difference between the corrected indoor temperature Tc and the target temperature value, a control signal for controlling the operating parameters of the air conditioner is generated. The control execution module receives and parses the integrated control signal, and synchronously drives the compressor inverter, fan motor, and air guide mechanism drive device, thereby performing integrated coordinated control of the air conditioner's operating frequency, fan speed, and air guide direction.

[0035] Through the control method provided in this embodiment, the system not only adjusts the temperature based on weighted correction from a macroscopic perspective, but also intelligently identifies the specific areas that users are most concerned about and drives the airflow direction to coordinate accordingly. This achieves a high-level comfort control that combines "overall uniformity" with "local precision," effectively solving the problem of mismatch between traditional air conditioning air supply and local needs.

[0036] According to another embodiment of the present invention, AI semantic analysis is used to understand the user's natural language description, thereby determining the positional relationship of each indoor temperature sensor relative to the air conditioner. Specifically, the user inputs a text or voice description of the location of a certain indoor temperature sensor through the air conditioner's remote control, the equipped mobile application (APP), or a smart voice assistant linked to the air conditioner. The position description is analyzed and processed by AI semantic analysis to obtain quantified positional information (such as azimuth angle and area label), which is output to the main processor as relative positional information for subsequent integrated control signal generation.

[0037] Furthermore, based on the current operating mode of the air conditioner, the relative position of position i to the air conditioner, and a preset temperature trigger threshold, corresponding wind speed and airflow direction control rules are matched; wherein, the temperature trigger threshold consists of a high-temperature trigger threshold and a low-temperature trigger threshold. Through the rule-based control method provided in this embodiment, the system upgrades the adjustment behavior of key local areas from simple temperature difference feedback to a deterministic strategy deeply bound to the operating mode, with clear trigger conditions and execution actions. This not only improves the stability and predictability of the control system but also allows users to more intuitively anticipate and intervene in the air conditioner's behavior by understanding the thresholds and rules, achieving a unity of intelligence and controllability.

[0038] Under the control rule framework established in the aforementioned embodiments, when the current operating mode is determined to be cooling mode, the system adopts the following explicit wind speed and airflow direction control rules: High-temperature range control rules: If the temperature difference exceeds a preset high-temperature trigger threshold, the system determines that the area of ​​focus is in an "overheated" state. In this case, the control strategy is as follows: Guiding control: The drive device of the air guiding mechanism is controlled to adjust the air delivery direction to face the position i, so as to achieve precise delivery of cold air.

[0039] Enhanced wind speed selectivity: While guiding the airflow, the fan speed is selectively increased. The magnitude of the wind speed increase is positively correlated with the temperature difference; that is, the greater the temperature difference, the greater the wind speed increase, in order to quickly suppress the temperature rise in the area.

[0040] Low temperature range control rules: If the temperature difference is less than a preset low-temperature trigger threshold, the system determines that the key area of ​​concern is either "overcooled" or meets comfort requirements. In this case, the control strategy is: Avoidance control: Control the air guide mechanism to actively avoid the direction of the air supply to position i, so as to prevent the continuous cold air from blowing directly on the area and causing the temperature in the area to drop further or the user to feel cold.

[0041] Selective wind speed reduction: While avoiding obstruction, the fan speed is selectively reduced. The magnitude of the wind speed reduction can also be correlated with the negative magnitude of the temperature difference, thereby achieving gentle airflow regulation and maintaining a comfortable temperature in the area.

[0042] Through the settings of this embodiment, in cooling mode, the system's control over areas of key user concern goes beyond simple on / off or fixed fan speed adjustment. It achieves intelligent and dynamic composite control: "concentrating airflow towards areas requiring cooling, adjusting airflow according to the degree of overheating," and "avoiding airflow towards already cooled areas, reducing airflow according to the degree of overcooling." This effectively improves comfort during the cooling process, avoids localized overcooling, and helps achieve a more balanced indoor temperature distribution.

[0043] In heating mode, the system implements a rule for coordinated control of airflow direction and speed based on local temperature differences. This rule forms a logical symmetry with the cooling mode, aiming to address the pain point of hot air rising and insufficient heating in active areas during heating.

[0044] Under the control rule framework established in the aforementioned embodiments, when the current operating mode is determined to be the heating mode, the system adopts the following explicit wind speed and airflow direction control rules: High-temperature range control rules: If the temperature difference is detected, the system determines that the area of ​​interest is in an "overheated" state. In this case, the control strategy is as follows: Avoidance control: Control the drive device of the air guide mechanism to actively avoid the direction of the air supply to position i, so as to prevent the continuous hot air from blowing directly on the area and causing the temperature to be too high, resulting in a feeling of heat.

[0045] Selective wind speed reduction: While avoiding the area, selectively reduce the fan speed. This reduces the amount of hot air delivered to the area, helping the temperature to gradually drop back to a comfortable range.

[0046] Low temperature range control rules: If the temperature difference is less than a preset low-temperature trigger threshold, the system determines that the area of ​​focus is in a state of "underheating" or requires heating. In this case, the control strategy is: Guiding control: Control the air guiding mechanism to adjust the air delivery direction to face the position i, so as to achieve accurate and rapid delivery of hot air.

[0047] Selective wind speed enhancement: While guiding the airflow, the fan speed is selectively increased. The magnitude of the wind speed increase is positively correlated with the negative magnitude of the temperature difference (ΔT), meaning that the colder it feels, the stronger the airflow, in order to accelerate the temperature rise in that area.

[0048] Through the settings of this embodiment, in heating mode, intelligent and dynamic composite control is achieved, which concentrates airflow towards areas requiring heating, adjusts airflow according to the degree of underheating, and avoids airflow towards already heated areas, reducing airflow as overheating occurs. This effectively solves the problem of heat accumulating in the upper and lower activity areas of the room during traditional heating, resulting in a still cold feeling. By implementing targeted airflow and heat management in key areas, heating comfort and efficiency are significantly improved.

[0049] Furthermore, the processor is further configured to: Obtain the location i of the indoor temperature sensor and the distance d between it and the air conditioner; Determine the relative position information between the location i and the air conditioner; Based on the relative position information, the temperature difference between the corrected indoor temperature Tc and the target temperature value, and the distance parameter d, a control signal is generated to control the operating parameters of the air conditioner. The control execution module adjusts the operating frequency, fan speed, and airflow direction of the air conditioner according to the control signal.

[0050] In this embodiment, the control execution module adjusts the operating frequency, wind speed, and airflow direction in an integrated manner based on the control signal that incorporates distance parameters. For example, in cooling mode, for a key area with a large temperature difference and a long distance, the system may generate the following instruction: "Direct the airflow precisely to azimuth A and increase the wind speed to a high level (based on a comprehensive calculation of temperature difference and distance), while appropriately increasing the compressor operating frequency." Conversely, if the area has a large temperature difference but is very close, the instruction may become: "Direct the airflow to azimuth B, but only increase the wind speed to a medium-low level, or activate the gentle breeze mode."

[0051] Furthermore, the distance parameter d is calculated through the wireless communication signal between the indoor temperature sensor and the communication module; wherein, the calculation method of the distance parameter d includes signal strength ranging calculation based on the communication signal strength, and signal time of flight ranging calculation based on the signal transmission time.

[0052] This embodiment fully utilizes the existing communication resources of the system, eliminating the need for additional dedicated ranging sensors such as ultrasonic or infrared sensors. While achieving accurate spatial perception, it effectively controls system complexity and cost. The distance parameter d is calculated using the wireless communication signal between the indoor temperature sensor and the communication module within the air conditioner. The main calculation methods include: Ranging based on received signal strength: The processor monitors the received wireless signal strength indication value from a specific indoor temperature sensor, and estimates the signal propagation distance based on a known signal propagation loss model. This method is simple and low-cost.

[0053] Ranging based on signal time of flight: By accurately measuring the time it takes for a wireless signal to travel one round trip between the air conditioner and the sensor, the straight-line distance d can be calculated directly from the speed of light. It has high accuracy and strong anti-interference ability.

[0054] According to another embodiment of the present invention, in cooling mode, a refined and conditional composite control rule for wind speed and airflow direction is executed based on the comparison results of temperature difference and distance parameters relative to their respective preset thresholds: If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is increased. If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is maintained. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to avoid the position i and the wind speed is maintained. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the airflow direction is controlled to avoid the position i and the wind speed is reduced.

[0055] The control strategy in cooling mode has been refined from a single temperature trigger to a decision matrix determined by a two-dimensional "temperature-distance" condition. This differentiates the required airflow intensity for the same temperature difference between near and far-field areas, achieving refined and differentiated control: strong airflow at long distances, gentle airflow at close distances; light airflow at long distances, heavy airflow at close distances. This effectively solves the problem of excessive or insufficient airflow caused by spatial differences, ensuring efficient temperature management in areas of high user concern while significantly optimizing user comfort and system efficiency.

[0056] According to another embodiment of the present invention, this embodiment discloses the control rules for wind speed and airflow direction in the heating mode, which are logically symmetrical with the rules in the cooling mode, aiming to specifically solve the problems of uneven heat distribution and easy overheating in the vicinity during heating.

[0057] If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air guiding direction is controlled to avoid the position i and the wind speed is maintained. If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guide direction is controlled to avoid the position i and the wind speed is reduced. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the air guiding direction is controlled to be towards the position i and the wind speed is increased. If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, then the position i corresponding to the indoor temperature sensor with the largest indoor temperature weighting coefficient is obtained, and the airflow direction is controlled to be towards the position i and the wind speed is maintained.

[0058] This embodiment constructs a two-dimensional fine-grained control matrix of temperature and distance in heating mode. For overheated areas, it implements light avoidance at a distance and heavy avoidance at a distance; for overcooled areas, it implements strong delivery at a distance and gentle delivery at a distance. By coordinating airflow direction and speed, it not only significantly improves the temperature response accuracy and comfort in areas of key concern to users, but also effectively optimizes the distribution efficiency of heat energy in space, overcoming the inherent defect of traditional air conditioners that result in dryness near the heating area and coldness far away.

[0059] The indoor temperature correction control system for air conditioners proposed in this invention achieves a technological leap from single-point coarse control to multi-point precise adjustment by introducing multi-location temperature sensors and intelligent fusion algorithms. This avoids ineffective air supply or over-adjustment to areas that have already met the standards, and concentrates the delivery of cold / heat to the areas that require the most control, reducing energy waste and improving the overall energy efficiency ratio. Combined with AI semantic parsing, wireless ranging and other technologies, it lowers the user configuration threshold, making complex environmental perception and precise control intuitive and simple, improving the product's intelligence level and user experience. It achieves synergistic optimization in three dimensions: comfort, energy efficiency and intelligence, and provides a systematic solution for personalized and precise temperature control of household air conditioners.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An air conditioner indoor temperature correction control system characterized by comprising: The application relates to an air conditioner, comprising: a fan for controlling the air speed of the air conditioner; an air inlet temperature sensor arranged at the air inlet of the air conditioner and used for detecting a first temperature value T1; at least one movable indoor temperature sensor in communication connection with the air conditioner through a wireless communication signal and used for detecting a second temperature value T2i at a corresponding position i; a communication module arranged in the air conditioner and used for establishing communication connection with the indoor temperature sensor and an air conditioner remote controller to receive the second temperature value T2i and a target temperature value set by the air conditioner remote controller; a processor connected with the air inlet temperature sensor and the communication module and configured to: obtain the first temperature value T1 and the second temperature value T2i; obtain a weight coefficient set by each temperature sensor and obtain a corrected indoor temperature Tc through weighted calculation; generate a control signal for controlling the operation parameters of the air conditioner according to the temperature difference between the corrected indoor temperature Tc and the target temperature value; wherein the corrected indoor temperature is calculated through the following formula: In the formula, is a weight coefficient of the outdoor temperature, is a weight coefficient of the indoor temperature at position i, N is the total number of positions where indoor temperature sensors are arranged, and satisfies k1 =1, 0≤k1, ≤1. a control execution module connected with the processor and used for adjusting the operation frequency and air 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, wherein The air conditioner is further provided with a guide air mechanism for controlling the guide direction of the air conditioner.

3. The indoor temperature correction control system for an air conditioner according to claim 2, wherein The processor is further configured to: determine the indoor temperature sensor with the maximum indoor temperature weight coefficient and the corresponding position i; determine the relative position information between the air conditioner and the position i according to the obtained position i; generate a control signal for controlling the operation parameters of the air conditioner based on the relative position information and the temperature difference between the corrected indoor temperature Tc and the target temperature value; the control execution module adjusts the operation frequency, air speed and guide direction of the air conditioner according to the control signal.

4. The indoor temperature correction control system for an air conditioner according to claim 3, wherein The relative position information of the position i relative to the air conditioner is determined based on the position description of each indoor temperature sensor relative to the air conditioner input by the user and through AI semantic analysis of the position description.

5. The indoor temperature correction control system for an air conditioner according to claim 3, wherein The corresponding air speed and guide direction control rules are further matched according to the current operation mode of the air conditioner, the relative position information of the position i relative to the air conditioner and a preset temperature trigger threshold value; wherein the temperature trigger threshold value is composed of a high temperature trigger threshold value and a low temperature trigger threshold value.

6. The indoor temperature correction control system for an air conditioner according to claim 5, wherein When the current operation mode is the refrigeration mode, the air speed and guide direction control rules are set as: if the temperature difference is greater than the high temperature trigger threshold value, the position i corresponding to the indoor temperature sensor with the maximum indoor temperature weight coefficient is obtained, and the guide direction is controlled to be directed to the position i and the air speed is selectively increased; if the temperature difference is less than the low temperature trigger threshold value, the position i corresponding to the indoor temperature sensor with the maximum indoor temperature weight coefficient is obtained, and the guide direction is controlled to avoid the position i and the air speed is selectively reduced.

7. The indoor temperature correction control system for an air conditioner according to claim 5, wherein When the current operation mode is the heating mode, the air speed and guide direction control rules are set as: if the temperature difference is greater than the high temperature trigger threshold value, the position i corresponding to the indoor temperature sensor with the maximum indoor temperature weight coefficient is obtained, and the guide direction is controlled to avoid the position i and the air speed is selectively reduced. If the temperature difference is less than the low temperature trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to be directed to the position i and the air speed is selectively increased.

8. The indoor temperature correction control system of claim 2, wherein The processor is further configured to: obtain a position i corresponding to an indoor temperature sensor and a distance parameter d between the indoor temperature sensor and the air conditioner; determine relative position information between the position i and the air conditioner according to the obtained position i; generate a control signal for controlling operation parameters of the air conditioner based on the relative position information, a temperature difference between the corrected indoor temperature Tc and the target temperature value, and the distance parameter d; control the execution module to adjust the operation frequency, the air speed, and the air deflection direction of the air conditioner according to the control signal.

9. The indoor temperature correction control system for an air conditioner according to claim 8, wherein The air speed and the air deflection direction control rule are matched according to the current operation mode of the air conditioner, the relative position information of the position i relative to the air conditioner, the distance parameter d, and preset temperature trigger thresholds and distance trigger thresholds, wherein the temperature trigger thresholds include a high temperature trigger threshold and a low temperature trigger threshold.

10. The indoor temperature correction control system for an air conditioner according to claim 8, wherein The distance parameter d is calculated through wireless communication signals of the indoor temperature sensor and the communication module, and the calculation method of the distance parameter d includes signal strength ranging calculation based on communication signal strength and signal flight time ranging calculation based on signal transmission time.

11. The indoor temperature correction control system for an air conditioner according to claim 9, wherein When the current operation mode is the cooling mode, the air speed and the air deflection direction control rule is set as: If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to be directed away from the position i and the air speed is maintained; If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to be directed away from the position i and the air speed is maintained; If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to avoid the position i and the air speed is maintained; If the temperature difference is less than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to avoid the position i and the air speed is reduced.

12. The indoor temperature correction control system for an air conditioner according to claim 9, wherein When the current operation mode is the heating mode, the air speed and the air deflection direction control rule is set as: If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to avoid the position i and the air speed is maintained; If the temperature difference is greater than the high temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air deflection direction is controlled to avoid the position i and the air speed is reduced. If the temperature difference is less than the high-temperature trigger threshold and the distance parameter d is greater than the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air guide direction is controlled to be directed toward the position i and the air speed is increased; If the temperature difference is less than the high-temperature trigger threshold and the distance parameter d is less than or equal to the distance trigger threshold, a position i corresponding to an indoor temperature sensor with the largest indoor temperature weight coefficient is obtained, and the air guide direction is controlled to be directed toward the position i and the air speed is maintained.

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