A smart wired controller for air conditioning

Abstract

This invention discloses an intelligent wired controller for an air conditioner, comprising: a radar sensor that transmits radio waves to a detection area, receives and outputs reflected signals at various times; an infrared sensor that detects infrared radiation information from the human body within the detection area and outputs voltage signals at various times; a humidity sensor that detects humidity values ​​and compares them with a preset humidity threshold, outputting a humidity comparison result; a network-connected main control MCU that acquires environmental information at the current detection time, including temperature values ​​and time period detection results; a target model that is determined from multiple pre-trained models based on the humidity comparison result; radar detection results obtained by preprocessing the reflected signals and using the target model; infrared detection results obtained by using the voltage signals; and a final detection result for the current detection time determined based on the time period detection result, radar detection result, and infrared detection result. An air conditioner control module controls the operating state of the air conditioner accordingly. The wired controller of this invention can accurately detect whether there are people in the area and automatically control the air conditioner's status.

Description

Technical Field

[0001] This invention belongs to the field of intelligent remote controls, specifically relating to an intelligent wired controller for air conditioners. Background Technology

[0002] Air conditioning is an essential device in daily work and life. Due to the widespread use of central air conditioning, it is often controlled by wired controllers fixed to the wall. Most existing wired controllers allow for manual operation to turn the air conditioner on and off, but manual operation can lead to missed shutdowns, resulting in wasted resources.

[0003] Therefore, there is an urgent need for a technical solution that allows a wired controller to intelligently determine and control the air conditioner to turn on and off. Summary of the Invention

[0004] To address the aforementioned problems in the existing technology, this invention provides an intelligent wired controller for air conditioners. The technical problem to be solved by this invention is achieved through the following technical solution:

[0005] An intelligent wired controller for air conditioning includes: a radar sensor assembly, an infrared sensor assembly, a humidity sensor, a network-connected main control MCU, and an air conditioning control module, wherein...

[0006] The radar sensor assembly includes at least one radar sensor; the radar sensor is used to transmit radio waves to the corresponding detection area, receive the reflected signal at each moment, and send it to the networked main control MCU;

[0007] The infrared sensor assembly includes at least one infrared sensor; the infrared sensor is used to detect human infrared radiation information within the corresponding detection area and outputs a voltage signal at each moment to the networked main control MCU.

[0008] The humidity sensor is used to detect the humidity value of the area and compare it with a preset humidity threshold, and send the humidity comparison result to the networked main control MCU.

[0009] The network-connected main control MCU is used to acquire environmental information at the current detection time via network connection, including temperature value and detection results for daytime or nighttime periods; based on the environmental information and humidity comparison results, it determines the target model corresponding to the current detection time from multiple pre-trained models; after preprocessing the reflected signal sent by the radar sensor component, it uses the target model to obtain the radar detection result of whether there are people in the area; it uses the voltage signal sent by the infrared sensor component to obtain the infrared detection result of whether there are people in the area; and it determines the final detection result for the current detection time based on the time period detection result, the radar detection result, and the infrared detection result.

[0010] The air conditioning control module is used to control the working status of the air conditioner based on the final detection result.

[0011] In one embodiment of the present invention, the radar sensor assembly contains a plurality of radar sensors, each radar sensor corresponding to a azimuth.

[0012] In one embodiment of the present invention, the infrared sensor assembly contains a plurality of infrared sensors, each infrared sensor corresponding to a azimuth, and the azimuth of the infrared sensors matches the azimuth of the radar sensors.

[0013] In one embodiment of the present invention, the humidity comparison result includes:

[0014] A high humidity result indicates that the humidity value in the area is greater than or equal to the preset humidity threshold; or a low humidity result indicates that the humidity value in the area is less than the preset humidity threshold.

[0015] In one embodiment of the present invention, based on the environmental information and the humidity comparison result, determining the target model corresponding to the current detection time from a plurality of pre-trained models includes:

[0016] If the temperature value at the current detection time is greater than or equal to the preset temperature threshold, the temperature comparison result is determined to be a high temperature result; if the temperature value at the current detection time is less than the preset temperature threshold, the temperature comparison result is determined to be a low temperature result.

[0017] Based on the temperature comparison results, humidity comparison results, and time period detection results at the current detection time, the target model corresponding to the current detection time is determined from multiple pre-trained models. Among them, the multiple pre-trained models include corresponding models trained from historical sample data under different combinations of temperature comparison results, humidity comparison results, and time period detection results.

[0018] In one embodiment of the present invention, the pre-trained plurality of models includes:

[0019] The first model corresponds to the combination of low temperature results, low humidity results, and daytime conditions;

[0020] The second model corresponds to the combination of high temperature results, high humidity results, and daytime conditions;

[0021] The third model corresponds to the combination of low temperature results, low humidity results, and nighttime conditions;

[0022] The fourth model corresponds to the combination of high temperature results, high humidity results, and nighttime conditions.

[0023] In one embodiment of the present invention, the preprocessing of the reflected signal transmitted by the radar sensor assembly includes:

[0024] Filtering and linear interpolation.

[0025] In one embodiment of the present invention, obtaining radar detection results regarding whether there are people in the area using the target model includes:

[0026] The preprocessed reflected signals from each radar sensor in the radar sensor assembly are input into the target model to obtain the corresponding radar sensor detection results. When at least one radar sensor detection result shows that there are people in the area, the radar detection result is determined to be that there are people.

[0027] In one embodiment of the present invention, determining the final detection result at the current detection time based on the time period detection result, the radar detection result, and the infrared detection result includes:

[0028] If the detection result for the current detection time period is daytime, the radar detection result will be determined as the final detection result for the current detection time.

[0029] If the detection result for the current detection time period is nighttime, the infrared detection result will be determined as the final detection result for the current detection time.

[0030] In one embodiment of the present invention, the air conditioner smart wired controller further includes an infrared communication module;

[0031] The air conditioning control module controls the operating status of the air conditioner based on the final detection result, including:

[0032] If the air conditioning control module receives the final detection results within a first preset time period, all of which indicate that there are people in the area, it generates a first type of binary instruction code, modulates the first type of binary instruction code, and sends it to the air conditioner using the infrared communication module to control the air conditioner to turn on.

[0033] If the air conditioning control module receives the final detection results of "no one in the area" within the second preset time period, it generates a second type of binary instruction code, modulates the second type of binary instruction code, and sends it to the air conditioner through the infrared communication module to control the air conditioner to turn off.

[0034] The beneficial effects of this invention are:

[0035] The intelligent air conditioner wired controller provided in this embodiment of the invention has the following advantages compared to traditional wired controllers:

[0036] 1. Automated and high-precision detection: Traditional wired controllers require fixed manual operation, which can lead to missed shutdowns and wasted resources. The intelligent air conditioner wired controller provided in this embodiment integrates radar, infrared, and other sensors into the controller to achieve intelligent control of the air conditioner;

[0037] 2. Intelligent management and display: The intelligent air conditioner wired controller of this embodiment can dynamically adjust parameters according to different installation environments, including dynamically adjusting the detection interval between day and night, and can be connected to the local weather to adaptively adjust the influence of objective environmental factors such as the dryness and humidity of the air and wind speed on misjudgment.

[0038] 3. Huge market demand: Due to the widespread use of central air conditioning, air conditioners are often left running, resulting in huge waste of resources. This intelligent air conditioner wired controller has significant market application prospects and competitiveness. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the structure of an intelligent air conditioner wired controller provided in an embodiment of the present invention;

[0040] Figure 2 These are schematic diagrams of four models according to embodiments of the present invention;

[0041] Figure 3 This is a schematic diagram illustrating the main processing steps of an embodiment of the present invention;

[0042] Figure 4 This is a schematic diagram illustrating the scenario operation mode of an embodiment of the present invention. Detailed Implementation

[0043] The present invention will be further described in detail below with reference to specific embodiments, but the implementation of the present invention is not limited thereto.

[0044] This invention provides an intelligent wired controller for air conditioning, such as... Figure 1 As shown, it may include:

[0045] The system includes radar sensor components, infrared sensor components, humidity sensor, network-connected main control MCU, and air conditioning control module.

[0046] The radar sensor assembly includes at least one radar sensor; the radar sensor is used to transmit radio waves to the corresponding detection area, receive the reflected signal at each moment, and send it to the networked main control MCU;

[0047] The infrared sensor assembly includes at least one infrared sensor; the infrared sensor is used to detect human infrared radiation information within the corresponding detection area and outputs a voltage signal at each moment to the networked main control MCU.

[0048] The humidity sensor is used to detect the humidity value of the area and compare it with a preset humidity threshold, and send the humidity comparison result to the networked main control MCU.

[0049] The network-connected main control MCU is used to acquire environmental information at the current detection time via network connection, including temperature value and detection results for daytime or nighttime periods; based on the environmental information and humidity comparison results, it determines the target model corresponding to the current detection time from multiple pre-trained models; after preprocessing the reflected signal sent by the radar sensor component, it uses the target model to obtain the radar detection result of whether there are people in the area; it uses the voltage signal sent by the infrared sensor component to obtain the infrared detection result of whether there are people in the area; and it determines the final detection result for the current detection time based on the time period detection result, the radar detection result, and the infrared detection result.

[0050] The air conditioning control module is used to control the working status of the air conditioner based on the final detection result.

[0051] The intelligent wired controller for air conditioning in this invention can be installed on the wall in the area where the air conditioner is located, generally in a high, open position to allow the sensor to more accurately cover non-overlapping areas. This intelligent wired controller is compatible with any existing type of air conditioner, including central air conditioning systems, and is used to detect in real time whether there are people in the area where the air conditioner is located, thereby automatically controlling the operating status of the air conditioner, such as controlling the air conditioner to turn on or off. It can be used for the intelligent adjustment of central air conditioning systems.

[0052] The intelligent air conditioner controller of this invention can be implemented by improving upon an existing air conditioner controller. For example, by integrating additional modules and configuring them accordingly, the original air conditioner controller can be transformed into this intelligent controller, while retaining its original functions. The radar sensor component, infrared sensor component, and humidity sensor are additionally integrated modules. The network-connected main control MCU and air conditioner control module can be upgraded by programming configurations on the corresponding components of the original air conditioner controller; the specific process will not be elaborated here. Of course, the network-connected main control MCU and air conditioner control module can also be additionally integrated modules, which is also reasonable. For the original functions of the original air conditioner controller, please refer to the relevant technical explanations; they will not be described below.

[0053] To facilitate understanding of the solution, the various parts of the intelligent air conditioner controller in the embodiments of the present invention will be described separately below.

[0054] Radar sensor assembly: While an air conditioner smart controller may contain only one radar sensor, in one optional implementation, the radar sensor assembly includes multiple radar sensors, each corresponding to a specific location. Specifically, a radar sensor is installed at multiple locations on the air conditioner smart controller, collectively forming the radar sensor assembly, with each location corresponding to a detection area.

[0055] The number of multiple positions can be set according to the required detection accuracy. For example, in one optional implementation, the multiple positions include the front, rear, left, and right positions of the air conditioner smart controller. The radar sensor located at the front position could be at the midpoint of the front side of the air conditioner smart controller, the radar sensor located at the rear position could be at the midpoint of the rear side of the air conditioner smart controller, the radar sensor located at the left position could be at the midpoint of the left side of the air conditioner smart controller, and the radar sensor located at the right position could be at the midpoint of the right side of the air conditioner smart controller. Of course, the number of multiple positions is not limited to four.

[0056] Each radar sensor is used to detect personnel within a corresponding detection area. Specifically, the radar sensor can be a 24GHz radar sensor, and each radar sensor can cover a certain detection area. The radar sensor continuously transmits radio waves into the corresponding detection area, receives the reflected signals at each moment, and sends them to the networked main control MCU. When someone enters the detection area, the radar sensor determines the presence of the target by detecting breathing and speed, and transmits the reflected signal to the networked main control MCU. At the same time, the radar sensor can be controlled by the networked main control MCU to adjust the frequency and number of times the frequency-modulated waves are transmitted.

[0057] The radar sensor transmits at frequency f. t Radio waves. When these radio waves encounter a moving target (either fast-moving or slow-moving), the frequency of the reflected wave changes due to the target's movement. This frequency change Δf (Doppler shift) is related to the target's velocity v (fast-moving) and can be expressed as:

[0058]

[0059] Among them, f t ν is the frequency of the signal emitted by the radar sensor; v is the velocity of the target; c is the speed of light.

[0060] For slow movement, i.e., the velocity of chest rise and fall caused by breathing and heartbeat, the embodiments of the present invention consider relative velocity resolution, which can be expressed as:

[0061]

[0062] Where t is the duration of each frequency modulation pulse.

[0063] To avoid unnecessary high-intensity FM wave transmissions at night that could waste data, the air conditioner smart wired controller can control the radar transmission frequency and interval based on time, which can be accomplished by a networked main control MCU.

[0064] The reflected signal received by the radar sensor at each moment can be represented as a time-domain signal, which is a continuous signal over a period of time, as follows:

[0065] s(t)=Acos(2*π*(f t +Δf)t+φ);

[0066] Where A is the amplitude and φ is the initial phase.

[0067] Infrared sensor assembly: While an air conditioner smart wired controller may contain only one infrared sensor, in one optional implementation, the infrared sensor assembly includes multiple infrared sensors, each corresponding to a specific orientation, and the orientations of the infrared sensors match those of the radar sensors. Specifically, an infrared sensor is positioned at each of the multiple orientations corresponding to the radar sensors, collectively forming the infrared sensor assembly. Each orientation corresponds to a detection area.

[0068] In this embodiment of the invention, the positions of the radar sensor and the infrared sensor can be reasonably set for each direction to ensure that both can achieve good detection of the same detection area.

[0069] Infrared sensors can employ pyroelectric infrared sensors, detecting the presence of a human by detecting the infrared radiation emitted by the human body. The surface temperature of the human body is typically around 37°C, emitting infrared radiation with a peak wavelength of approximately 10 micrometers. When someone enters the detection area of ​​the infrared sensor, the infrared radiation from the human body causes a temperature change in the pyroelectric material within the sensor, generating an electric charge. This charge is then converted into a voltage signal by a circuit and transmitted to the networked main control MCU for processing. The voltage signal typically varies between 0.5 and 3V.

[0070] The pyroelectric formula is as follows:

[0071] Q = p * S * ΔT;

[0072] Where Q is the generated charge; p is the pyroelectric coefficient (related to the material); S is the effective area of ​​the infrared sensor; and ΔT is the temperature change.

[0073] In this embodiment of the invention, the infrared sensor signal may be severely distorted during the day due to strong sunlight and the influence of temperature and humidity. The detection frequency of the infrared sensor can be adjusted according to the time, which can be controlled by the networked main control MCU.

[0074] Humidity sensors detect humidity by measuring the change in resistance of materials caused by air humidity. This resistance value is then converted into a corresponding humidity value. Modern digital humidity sensors typically have a built-in high-precision digital converter, directly acquiring the measured humidity value and converting it into a digital signal output. The detected humidity value is then compared to a preset humidity threshold to obtain the humidity comparison result.

[0075] If we use a relative humidity of 0% to 100% as the criterion, the indoor humidity is generally in the range of 40% to 60%. Since summer and winter are at two extremes, a preset humidity threshold of 50% relative humidity can be used.

[0076] The humidity comparison results include:

[0077] A high humidity result indicates that the humidity value in the area is greater than or equal to the preset humidity threshold, i.e., high humidity or large humidity; or a low humidity result indicates that the humidity value in the area is less than the preset humidity threshold, i.e., low humidity or small humidity.

[0078] The humidity comparison result can be represented by a Boolean value, such as 1 for high humidity, which means high humidity, and 2 for low humidity, which means low humidity.

[0079] Network-connected main control MCU: This unit can obtain environmental information at the current detection time via network connection. Environmental information includes temperature values; that is, the network-connected main control MCU obtains the temperature value of the area where the air conditioner is located via the internet. It can be understood that the current network connection method can obtain the temperature value within its jurisdiction, or, by combining it with more precise positioning methods, the temperature value at the location of the wired controller can be obtained. Environmental information also includes the detection results indicating whether the current detection time is daytime or nighttime, which can be determined by obtaining the time information.

[0080] Based on the environmental information and the humidity comparison result, the target model corresponding to the current detection time is determined from multiple pre-trained models, including:

[0081] 1) If the temperature value at the current detection time is greater than or equal to the preset temperature threshold, the temperature comparison result is determined to be a high temperature result; if the temperature value at the current detection time is less than the preset temperature threshold, the temperature comparison result is determined to be a low temperature result; wherein, the preset temperature threshold can be set according to the requirements, for example, it can be 25 degrees Celsius.

[0082] 2) Based on the temperature comparison results, humidity comparison results, and time period detection results at the current detection time, determine the target model corresponding to the current detection time from among the multiple pre-trained models;

[0083] Among them, the pre-trained models include corresponding models trained from historical sample data under different combinations of temperature comparison results, humidity comparison results, and time period detection results.

[0084] It is understandable that temperature comparison results include high temperature results and low temperature results, humidity comparison results include high humidity results and low humidity results, and time period detection results include daytime and nighttime. Therefore, any combination of temperature comparison results, humidity comparison results, and time period detection results can result in multiple combinations.

[0085] In one optional implementation, the pre-trained multiple models include:

[0086] The first model corresponds to the combination of low temperature results, low humidity results, and daytime conditions;

[0087] The second model corresponds to the combination of high temperature results, high humidity results, and daytime conditions;

[0088] The third model corresponds to the combination of low temperature results, low humidity results, and nighttime conditions;

[0089] The fourth model corresponds to the combination of high temperature results, high humidity results, and nighttime conditions.

[0090] Please see Figure 2 As shown, Figure 2 The diagram shows four models: the first model is in the upper left corner, the second model is in the upper right corner, the third model is in the lower left corner, and the fourth model is in the lower left corner.

[0091] These models were trained using historical sample data and corresponding real labels, which represent the measured results of whether there are people in the area. The training process of the models will be explained later.

[0092] After receiving the reflected signal from the radar sensor assembly, the network-connected main control MCU performs preprocessing on the reflected signal, including:

[0093] Filtering and linear interpolation.

[0094] Specifically, filtering can be implemented using a Wiener filter. The Wiener filter is designed to minimize the mean square error. The design of a Wiener filter involves considering both the power spectral density of the signal and the power spectral density of the noise.

[0095] In the frequency domain, the Wiener filter can be designed using the following formula.

[0096] The frequency domain expression of the Wiener filter is:

[0097]

[0098] Among them, S x (f) is the power spectral density of the signal x(t); S n (f) is the power spectral density of the noise n(t).

[0099] The estimated signal is obtained by applying the Wiener filter H(f) to the observed signal Y(f):

[0100]

[0101] Wherein, the observed signal Y(f) refers to the frequency domain signal converted from the received signal after FFT; It is the signal after applying the Wiener filter H(f) to Y(f);

[0102] Then, the filtered signal is converted back to the time domain using the inverse Fourier transform:

[0103]

[0104] For details on the Wiener filter process and the specific meaning of its parameters, please refer to the relevant technical explanations; they will not be elaborated upon here.

[0105] Then, a linear interpolation method is used to insert a data point between two adjacent points, as shown in the following formula:

[0106]

[0107] Where y'(t) is the value corresponding to the interpolation point, t is the independent variable value of the interpolation point, and t1 and t2 are the independent variable values ​​of two adjacent points.

[0108] The interpolated point set is then merged with the original dataset to form a single dataset z(t). Interpolation expands the data volume, thereby increasing the training set size for subsequent model training and improving training accuracy.

[0109] The training process of the model is briefly described below.

[0110] This invention utilizes the Extreme Gradient Boosting (XGBoost) algorithm for model training. XGBoost is an efficient and powerful gradient boosting algorithm widely used in machine learning and data mining tasks. XGBoost improves performance and speed by optimizing the training process of the gradient boosting model.

[0111] The following explanation uses models one through four as examples. The model training process may include the following steps:

[0112] Step 1, Data Preparation: XGBoost divides the data into four different gradients based on temperature, humidity, and time of day. It obtains a complete training dataset for each model from historical data. For example, the sample data in the training dataset for the first model consists of radar sensor reflection signals collected under low temperature, low humidity, and daytime conditions, and carries the detection results of whether there are people in the area as the real label. The training datasets for the other models are prepared in the same way.

[0113] Step 2, Initialize the model: Initialize the model parameters for the first to fourth models respectively, including the number of iterations and the setting of network weights. For understanding the common initialization process of neural network models, please refer to the documentation. It will not be explained in detail here.

[0114] Step 3, Model Prediction and Residual Calculation: For each model, after inputting sample data from its own training dataset, it will output corresponding prediction results. The residual between the model's prediction results and the true labels can be calculated.

[0115] Step 4, Fit a new decision tree to update the model: Fit a new decision tree to predict these residuals, and then use backpropagation to optimize the model parameters. The output of the tree is used to update the model.

[0116] Step 5, Repeat Model Update: Repeat steps 3-5, adding the prediction results of the new tree to the existing model to obtain new prediction results. Continue until the stopping condition is met, then stop training and obtain the trained model.

[0117] In this embodiment of the invention, each model is trained separately, and the training process of the model can be understood by referring to the training process of common neural network models.

[0118] The main processing steps of this invention can be found in the following embodiments: Figure 3 understand, Figure 3 The specific details will not be repeated here.

[0119] In this embodiment of the invention, obtaining radar detection results regarding whether there are people in the area using the target model includes:

[0120] The preprocessed reflected signals from each radar sensor in the radar sensor assembly are input into the target model to obtain the corresponding radar sensor detection results. When at least one radar sensor detection result shows that there are people in the area, the radar detection result is determined to be that there are people.

[0121] In other words, if there is more than one radar sensor, the reflected signal of each radar sensor is preprocessed and then input into the corresponding target model to obtain its radar sensor detection result. As long as the detection result of any one radar sensor shows that there is someone in the area, the radar detection result is determined to be that there is someone.

[0122] In this embodiment of the invention, determining the final detection result at the current detection time based on the time period detection result, the radar detection result, and the infrared detection result includes:

[0123] If the detection result for the current detection time period is daytime, the radar detection result will be determined as the final detection result for the current detection time.

[0124] If the detection result for the current detection time period is nighttime, the infrared detection result will be determined as the final detection result for the current detection time.

[0125] Considering the higher level of human activity during the day and the greater influence of environmental factors in sunlit indoor spaces, radar sensors are more accurate for measuring human movement. At night, however, the probability of human activity is lower, and infrared sensors are relatively more accurate in the absence of sunlight. Therefore, during the daytime, the results from radar sensors are used as the standard, while at night, the results from infrared sensors are used as the standard.

[0126] In this embodiment of the invention, the air conditioner intelligent wired controller also includes an infrared communication module; the infrared communication module is designed to be compatible with air conditioner controls from various manufacturers, thus enabling communication with all air conditioners on the market for working status control.

[0127] Specifically, the infrared communication module can be an infrared light-emitting diode, which emits a modulated signal toward the air conditioner, enabling the air conditioner's infrared receiver to receive the signal and turn the air conditioner on or off.

[0128] Air conditioning control module: The air conditioning control module controls the operating status of the air conditioner based on the final detection result, including:

[0129] If the air conditioning control module receives the final detection results within a first preset time period, all of which indicate that there are people in the area, it generates a first type of binary instruction code, modulates the first type of binary instruction code, and sends it to the air conditioner using the infrared communication module to control the air conditioner to turn on.

[0130] If the air conditioning control module receives the final detection results of "no one in the area" within the second preset time period, it generates a second type of binary instruction code, modulates the second type of binary instruction code, and sends it to the air conditioner through the infrared communication module to control the air conditioner to turn off.

[0131] Specifically, to avoid false detections and reduce power consumption caused by frequent air conditioner switching, this embodiment of the invention sets a first preset time for turning on the air conditioner and a second preset time for turning it off. The air conditioner is only turned on if the final detection results within the first preset time indicate that someone is in the area, and only turned off if the final detection results within the second preset time indicate that no one is in the area. These settings can be customized as needed; for example, the first preset time could be 10 minutes and the second preset time could be 30 minutes.

[0132] Binary instruction codes are composed of binary data. Modulating the second type of binary instruction code can be achieved by pulse width modulation of the carrier signal and the binary instruction code to obtain the modulated signal. This process can be found in relevant technical explanations and will not be described here.

[0133] The main application scenario of this invention is public office spaces, where multiple smart air conditioner controllers and multiple air conditioners can jointly control the temperature of the work area. The installation mode can be set according to different application environments, and the smart air conditioner controllers can be matched one-to-one with the air conditioners.

[0134] In one scenario, the smart air conditioner controller detects the presence of people and communicates with them in real time to determine their approximate location. This allows it to decide which air conditioner vent to turn on or off, minimizing unnecessary resource waste. For details on the specific control methods for this scenario, please refer to [link to relevant documentation]. Figure 4 Understood. One smart air conditioning controller can correspond to multiple air conditioning vents, and each vent can be matched with the controller's location. Based on the location of people and their angles, the smart air conditioning controller can individually control the air conditioning vent at the corresponding angle. Furthermore, multiple smart air conditioning controllers can work in coordination; when two or more controllers detect occupants, the central air conditioning vents controlled by those controllers will be activated.

[0135] The intelligent air conditioner wired controller provided in this embodiment of the invention has the following advantages compared to traditional wired controllers:

[0136] 1. Automated and high-precision detection: Traditional wired controllers require fixed manual operation, which can lead to missed shutdowns and wasted resources. The intelligent air conditioner wired controller provided in this embodiment integrates radar, infrared, and other sensors into the controller to achieve intelligent control of the air conditioner;

[0137] 2. Intelligent management and display: The intelligent air conditioner wired controller of this embodiment can dynamically adjust parameters according to different installation environments, including dynamically adjusting the detection interval between day and night, and can be connected to the local weather to adaptively adjust the influence of objective environmental factors such as the dryness and humidity of the air and wind speed on misjudgment.

[0138] 3. Huge market demand: Due to the widespread use of central air conditioning, air conditioners are often left running, resulting in huge waste of resources. This intelligent air conditioner wired controller has significant market application prospects and competitiveness.

[0139] It should be noted that in the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0140] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. In addition, those skilled in the art can combine and integrate the different embodiments or examples described in this specification.

[0141] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. An intelligent wired controller for air conditioning, characterized in that, include: The system includes radar sensor components, infrared sensor components, humidity sensor, network-connected main control MCU, and air conditioning control module. The radar sensor assembly contains multiple radar sensors, each corresponding to a azimuth; the radar sensors are used to transmit radio waves to the corresponding detection area, receive the reflected signals at each moment, and send them to the networked main control MCU. The infrared sensor assembly contains multiple infrared sensors, each corresponding to a specific orientation, and the orientation of the infrared sensors matches that of the radar sensors. The infrared sensors are used to detect human infrared radiation information within the corresponding detection area and output voltage signals at each moment to the networked main control MCU. The humidity sensor is used to detect the humidity value of the area and compare it with a preset humidity threshold, and send the humidity comparison result to the networked main control MCU; the humidity comparison result includes: a high humidity result, indicating that the humidity value in the area is greater than or equal to the preset humidity threshold; or a low humidity result, indicating that the humidity value in the area is less than the preset humidity threshold; The network-connected main control MCU is used to acquire environmental information at the current detection time via network connection, including temperature value and detection results for daytime or nighttime periods; based on the environmental information and humidity comparison results, it determines the target model corresponding to the current detection time from multiple pre-trained models; after preprocessing the reflected signal sent by the radar sensor component, it uses the target model to obtain the radar detection result of whether there are people in the area; it uses the voltage signal sent by the infrared sensor component to obtain the infrared detection result of whether there are people in the area; and it determines the final detection result for the current detection time based on the time period detection result, the radar detection result, and the infrared detection result. The air conditioning control module is used to control the working status of the air conditioner based on the final detection result; Specifically, based on the environmental information and the humidity comparison result, the target model corresponding to the current detection time is determined from multiple pre-trained models, including: If the temperature value at the current detection time is greater than or equal to the preset temperature threshold, the temperature comparison result is determined to be a high temperature result; if the temperature value at the current detection time is less than the preset temperature threshold, the temperature comparison result is determined to be a low temperature result. Based on the temperature comparison results, humidity comparison results, and time period detection results at the current detection time, the target model corresponding to the current detection time is determined from multiple pre-trained models. Among them, the multiple pre-trained models include: corresponding models trained from historical sample data under different combinations of temperature comparison results, humidity comparison results, and time period detection results. The pre-trained models include: The first model corresponds to the combination of low temperature results, low humidity results, and daytime conditions; The second model corresponds to the combination of high temperature results, high humidity results, and daytime conditions; The third model corresponds to the combination of low temperature results, low humidity results, and nighttime conditions; The fourth model corresponds to the combination of high temperature results, high humidity results, and nighttime conditions; The final detection result at the current detection time is determined based on the time period detection result, the radar detection result, and the infrared detection result, including: If the detection result for the current detection time period is daytime, the radar detection result will be determined as the final detection result for the current detection time. If the detection result for the current detection time period is nighttime, the infrared detection result will be determined as the final detection result for the current detection time.

2. The intelligent wired controller for air conditioning according to claim 1, characterized in that, The preprocessing of the reflected signal transmitted by the radar sensor assembly includes: Filtering and linear interpolation.

3. The intelligent wired controller for air conditioning according to claim 1, characterized in that, Using the target model, radar detection results are obtained regarding whether there are people in the area, including: The preprocessed reflected signals from each radar sensor in the radar sensor assembly are input into the target model to obtain the corresponding radar sensor detection results. When at least one radar sensor detection result shows that there are people in the area, the radar detection result is determined to be that there are people.

4. The intelligent wired controller for air conditioning according to claim 1, characterized in that, It also includes an infrared communication module; The air conditioning control module controls the operating status of the air conditioner based on the final detection result, including: If the air conditioning control module receives the final detection results within a first preset time period, all of which indicate that there are people in the area, it generates a first type of binary instruction code, modulates the first type of binary instruction code, and sends it to the air conditioner using the infrared communication module to control the air conditioner to turn on. If the air conditioning control module receives the final detection results of "no one in the area" within the second preset time period, it generates a second type of binary instruction code, modulates the second type of binary instruction code, and sends it to the air conditioner through the infrared communication module to control the air conditioner to turn off.

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