Intelligent wire controller of air conditioner

Abstract

The invention discloses an intelligent wire controller of an air conditioner, which is characterized in that a radar sensor transmits radio waves to a detection area, receives reflection signals at all moments and outputs the reflection signals; the infrared sensor is used for detecting human body infrared radiation information in a detection area and outputting voltage signals at all moments; the humidity sensor detects a humidity value, compares the humidity value with a preset humidity threshold and outputs a humidity comparison result; the networking main control MCU obtains environment information at the current detection moment, wherein the environment information comprises a temperature value and a time period detection result; determining a target model in a plurality of pre-trained models in combination with the humidity comparison result; after the reflection signal is preprocessed, a radar detection result is obtained through a target model; obtaining an infrared detection result by using the voltage signal; determining a final detection result at the current detection moment according to the time period detection result, the radar detection result and the infrared detection result; the air conditioner control module controls the working state of the air conditioner accordingly. The wire controller can accurately detect whether a person exists in an area or not and automatically control the state of the air conditioner.

Description

Technical Field

[0001] The invention belongs to the field of intelligent remote controllers, and in particular relates to an intelligent wire controller for an air conditioner. Background Art

[0002] Air conditioners are essential equipment in daily work and life. Due to the widespread use of central air conditioners, air conditioners are often controlled by wired controllers fixed on the wall. Most of the existing wired controllers use manual methods to directly turn the air conditioner on and off, but manual operation may cause missed turns, resulting in a waste of resources.

[0003] Therefore, there is an urgent need for a technical solution in which a wire controller intelligently judges and controls the opening and closing of an air conditioner. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides an air conditioner intelligent wire controller. The technical problem to be solved by the present invention is achieved through the following technical solutions:

[0005] An air conditioner intelligent wire controller includes: a radar sensor component, an infrared sensor component, a humidity sensor, a networked main control MCU and an air conditioner 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 infrared radiation information of human body in the corresponding detection area, and output 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 the preset humidity threshold, and send the humidity comparison result to the networked main control MCU;

[0009] The networked main control MCU is used to obtain environmental information at the current detection time through networking, including temperature values ​​and detection results belonging to the daytime or nighttime periods; determine the target model corresponding to the current detection time from multiple pre-trained models according to the environmental information and the humidity comparison result; obtain the radar detection result of whether there is a person in the area by using the target model after pre-processing the reflected signal sent by the radar sensor component; obtain the infrared detection result of whether there is a person in the area by using the voltage signal sent by the infrared sensor component; determine the final detection result at the current detection time according to the period detection result, the radar detection result and the infrared detection result;

[0010] The air conditioning control module is used to control the working state of the air conditioning according to the final detection result.

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

[0012] In one embodiment of the present invention, the infrared sensor assembly includes a plurality of infrared sensors, each infrared sensor corresponds to an orientation, and the orientation of the infrared sensor matches the orientation of the radar sensor.

[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, according to the environmental information and the humidity comparison result, determining a target model corresponding to the current detection moment from a plurality of pre-trained models includes:

[0016] If the temperature value at the current detection moment 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 moment is less than the preset temperature threshold, the temperature comparison result is determined to be a low temperature result;

[0017] According to the temperature comparison results, humidity comparison results and time period detection results at the current detection moment, the target model corresponding to the current detection moment is determined from multiple pre-trained models; wherein the multiple pre-trained models include: corresponding models trained with 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 multiple pre-trained models include:

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

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

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

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

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

[0024] Filtering and linear interpolation processing.

[0025] In one embodiment of the present invention, obtaining a radar detection result of whether there is a person in the area by using the target model includes:

[0026] The signals obtained after preprocessing the reflected signals of each radar sensor in the radar sensor assembly are respectively input into the target model to obtain corresponding radar sensor detection results. When at least one radar sensor detection result shows that there is a person in the area, it is determined that the radar detection result is that there is a person.

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

[0028] If the detection result of the time period at the current detection time is daytime, the radar detection result is determined as the final detection result at the current detection time;

[0029] If the time period detection result at the current detection time is night, the infrared detection result is determined as the final detection result at the current detection time.

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

[0031] The air conditioning control module controls the working state of the air conditioning according to the final detection result, including:

[0032] If the air conditioning control module receives final detection results indicating that there is someone in the area within the first preset time period, a first type of binary instruction code is generated, and the first type of binary instruction code is modulated and sent to the air conditioner by using the infrared communication module to control the air conditioner to turn on;

[0033] If the air conditioning control module receives final detection results indicating that no one is in the area within the second preset time period, a second type of binary instruction code is generated, and after modulating the second type of binary instruction code, the code is sent to the air conditioner using the infrared communication module to control the air conditioner to shut down.

[0034] Beneficial effects of the present invention:

[0035] The smart air conditioner wire controller provided by the embodiment of the present invention has the following effects compared with the traditional wire controller:

[0036] 1. Automated and high-precision detection: Traditional thread machines can only be manually operated, which may cause the air conditioner to be missed and waste resources. The intelligent air conditioner wire controller provided by the embodiment of the present invention integrates radar, infrared and other sensors into the wire controller to achieve intelligent control of the air conditioner;

[0037] 2. Intelligent management and display: The intelligent air conditioner wire controller of the embodiment of the present invention can dynamically adjust parameters according to the different environments in which it is installed, including dynamically adjusting the detection interval during the day and at night, and can be connected with the local weather to adaptively adjust the misjudgment effect caused by objective environments such as dryness, humidity and wind speed in the air;

[0038] 3. Huge market demand: Due to the widespread use of central air conditioners, air conditioners are often left off, which causes huge waste of resources. The smart air conditioner wire controller has significant market application prospects and competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of the structure of an air conditioner intelligent wire controller provided by an embodiment of the present invention;

[0040] Figure 2 Schematic diagrams of four models of embodiments of the present invention;

[0041] Figure 3 A schematic diagram for understanding the main processing process of an embodiment of the present invention;

[0042] Figure 4 A schematic diagram for understanding the scenario working mode of an embodiment of the present invention. DETAILED DESCRIPTION

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

[0044] The embodiment of the present invention provides an intelligent wire controller for air conditioner, such as Figure 1 As shown, it may include:

[0045] Radar sensor components, infrared sensor components, humidity sensors, networked main control MCU and air conditioning control modules, among which,

[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 infrared radiation information of human body in the corresponding detection area, and output 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 the preset humidity threshold, and send the humidity comparison result to the networked main control MCU;

[0049] The networked main control MCU is used to obtain environmental information at the current detection time through networking, including temperature values ​​and detection results belonging to the daytime or nighttime periods; determine the target model corresponding to the current detection time from multiple pre-trained models according to the environmental information and the humidity comparison result; obtain the radar detection result of whether there is a person in the area by using the target model after pre-processing the reflected signal sent by the radar sensor component; obtain the infrared detection result of whether there is a person in the area by using the voltage signal sent by the infrared sensor component; determine the final detection result at the current detection time according to the period detection result, the radar detection result and the infrared detection result;

[0050] The air conditioning control module is used to control the working state of the air conditioning according to the final detection result.

[0051] The air conditioner intelligent wire controller of the embodiment of the present invention can be installed on the wall of the area where the air conditioner is located, generally in a relatively open high-viewing position, so as to facilitate the sensor to more accurately cover the non-overlapping range. The air conditioner intelligent wire controller can be adapted to any existing type of air conditioner, including central air conditioners, and is used to detect in real time whether there are people in the area where the air conditioner is located, so as to automatically control the working state of the air conditioner, for example, to control the opening or closing of the air conditioner, and can be used for intelligent adjustment of central air conditioners.

[0052] The intelligent wire controller for the air conditioner in the embodiment of the present invention can be realized by improving the original wire controller for the air conditioner. For example, by integrating additional modules and performing corresponding configurations, the original wire controller for the air conditioner is changed into the intelligent wire controller for the air conditioner, and the original functions of the original wire controller for the air conditioner remain unchanged. Among them, the radar sensor component, the infrared sensor component, and the humidity sensor are additional integrated modules, and the networked main control MCU and the air conditioning control module can be implemented by programming and writing configurations on the corresponding components of the original wire controller for the air conditioner to achieve functional upgrades. The specific process will not be described here. Of course, the networked main control MCU and the air conditioning control module can also be additional integrated modules, which is reasonable. For the original functions of the original wire controller for the air conditioner, please refer to the relevant technical understanding, which will not be explained below.

[0053] In order to facilitate understanding of the solution, various parts of the air conditioner intelligent wire controller in the embodiment of the present invention are described below.

[0054] Radar sensor assembly: There may be only one radar sensor in the air conditioner intelligent wire controller, but in an optional implementation, the radar sensor assembly contains multiple radar sensors, each of which corresponds to a position. Specifically, a radar sensor is respectively provided at multiple positions of the air conditioner intelligent wire controller, which together constitute a radar sensor assembly, and each position corresponds to a detection area.

[0055] The number of multiple positions can be set according to the requirements of detection accuracy. For example, in an optional implementation, the multiple positions include the front, rear, left, and right positions of the air-conditioning intelligent wire controller. Then, the radar sensor located in the front position can be at the midpoint of the front side of the air-conditioning intelligent wire controller, the radar sensor located in the rear position can be at the midpoint of the rear side of the air-conditioning intelligent wire controller, the radar sensor located in the left position can be at the midpoint of the left side of the air-conditioning intelligent wire controller, and the radar sensor located in the right position can be at the midpoint of the right side of the air-conditioning intelligent wire controller. Of course, the number of multiple positions is not limited to four.

[0056] Each radar sensor is used to detect the presence of people in the corresponding detection area. Specifically, the radar sensor can use a 24GHz radar sensor. Each radar sensor can cover a certain range of detection areas. The radar sensor continuously transmits radio waves to the corresponding detection area, receives the reflected signal at each moment and sends it to the networked main control MCU. When someone enters the detection area, the radar sensor will determine the presence of the target by detecting breathing and speed, and transmit 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 FM waves.

[0057] Among them, the radar sensor transmission frequency is f t When the radio wave encounters a moving target (here divided into fast moving and slow moving), the frequency of the reflected wave will change due to the movement of the target. This frequency change Δf (Doppler frequency shift) is related to the speed v (fast moving) of the target and can be expressed as:

[0058]

[0059] Among them, f t is the frequency of the radar sensor's transmitted signal; v is the target's velocity; and c is the speed of light.

[0060] For slow movement, that is, the chest fluctuation speed caused by breathing and heartbeat, the embodiment of the present invention takes into account the relative speed resolution, which can be expressed as:

[0061]

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

[0063] In order to avoid data waste caused by unnecessary high-intensity transmission of FM waves at night, the air conditioner intelligent wire controller can control the radar transmission frequency and interval time according to time, which can be controlled by the networked main control MCU.

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

[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: There may be only one infrared sensor in the air conditioner intelligent wire controller, but in an optional embodiment, the infrared sensor assembly contains multiple infrared sensors, each of which corresponds to a direction, and the direction of the infrared sensor matches the direction of the radar sensor. Specifically, an infrared sensor is respectively provided at multiple directions corresponding to the radar sensor, together forming an infrared sensor assembly. Each direction corresponds to a detection area.

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

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

[0070] The pyroelectric formula is as follows:

[0071] Q = p*S*ΔT;

[0072] Where Q is the charge generated; 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 the embodiment of the present invention, due to strong light and the influence of temperature and humidity during the day, the signal of the infrared sensor may be seriously distorted. The detection frequency of the infrared sensor can be adjusted according to time, which can be controlled by the networked main control MCU.

[0074] Humidity sensor: The humidity in the air causes the resistance value of the material to change, and the resistance value is converted into the corresponding humidity value by measuring it, thereby realizing humidity detection. Today's digital humidity sensors generally have a built-in high-precision digital converter, which directly obtains the measured value of humidity through the humidity sensor and converts it into a digital signal output. After the humidity value is detected, it is compared with the preset humidity threshold to obtain the humidity comparison result.

[0075] If the relative humidity ranges from 0% to 100% as the judging standard, the indoor range is generally 40% to 60%. Since summer and winter are at two extremes, the preset humidity threshold may be a relative humidity of 50%.

[0076] The humidity comparison result includes:

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

[0078] The humidity comparison result may be represented by a Boolean value, for example, a high humidity result is 1, indicating high humidity, and a low humidity result is 2, indicating low humidity.

[0079] Networked main control MCU: The environmental information at the current detection time can be obtained through networking. The environmental information includes the temperature value, that is, the networked main control MCU obtains the temperature value of the area where the air conditioner is located through the Internet. It can be understood that the current networking method can obtain the temperature value within the jurisdiction, or further combined with more accurate positioning methods, the temperature value of the location of the wire controller can be obtained. The environmental information also includes the detection result of whether the current detection time belongs to the daytime or nighttime period, which can be determined by obtaining time information.

[0080] According to the environmental information and the humidity comparison result, a target model corresponding to the current detection moment is determined from a plurality of pre-trained models, including:

[0081] 1) If the temperature value at the current detection moment 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 moment 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 demand, for example, it can be 25 degrees Celsius.

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

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

[0084] It can be understood that the temperature comparison results include high temperature results and low temperature results, the humidity comparison results include high humidity results and low humidity results, and the time period detection results include day and night. Therefore, there will be multiple combinations formed by taking any one of the temperature comparison results, humidity comparison results and time period detection results.

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

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

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

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

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

[0090] See also Figure 2 As shown, Figure 2 Schematic diagram of four models, the upper left corner is the first model, the upper right corner is the second model, the lower left corner is the third model, and the lower left corner is the fourth model.

[0091] These models are trained using historical sample data and corresponding true labels, where the true labels represent the actual measured results of whether there are people in the area. The model training process is described later.

[0092] After receiving the reflected signal sent by the radar sensor component, the networked main control MCU pre-processes the reflected signal, and the pre-processing includes:

[0093] Filtering and linear interpolation processing.

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

[0095] In the frequency domain, the design of the Wiener filter can be performed by 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] Among them, the observation signal Y(f) refers to the frequency domain signal converted from the received signal after FFT; is the signal after applying the Wiener filter H(f) to Y(f);

[0102] The filtered signal is then converted back to the time domain via an inverse Fourier transform:

[0103]

[0104] For the specific meaning of the filtering process using the Wiener filter and the related parameters, please refer to the relevant technical understanding, which will not be explained in detail here.

[0105] Then, the linear interpolation method is used to insert a data point between two adjacent points. The formula is as follows:

[0106]

[0107] Among them, 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] Then the interpolated point set is merged with the original data set into a data set z(t). Interpolation can expand the amount of data, thereby increasing the size of the training set for subsequent model training, which is conducive to improving training accuracy.

[0109] The following is a brief description of the model training process.

[0110] The embodiment of the present invention uses the Extreme Gradient Boosting (XGBoost) algorithm for model training. XGBoost is an efficient and powerful gradient boosting algorithm that is 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 uses the first to fourth models as examples for illustration. The model training process may include the following steps:

[0112] Step 1, data preparation: XGBoost will divide the levels of temperature, humidity and time into 4 different gradients, and obtain a complete training data set for each model from historical data. For example, the sample data in the training data set for the first model is the radar sensor reflection signal collected under low temperature, low humidity and daytime conditions, and carries the detection result of whether there is someone in the area as the true label; the training data sets of the other models are similar.

[0113] Step 2, initialization model: Initialize the model parameters for the first model to the fourth model respectively, including the number of iterations, the setting of network weights, etc. The initialization model can be understood by referring to the common initialization process of the neural network model, which will not be explained in detail here.

[0114] Step 3, model prediction and residual calculation: For each model, after inputting the sample data of its own training data set, it will output the corresponding prediction result, and the residual between the model's prediction result and the true label can be calculated;

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

[0116] Step 5, repeat the model update: repeat steps 3-5, add the prediction results of the new tree to the existing model, and get new prediction results. When the stop condition is met, stop training and get the trained model.

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

[0118] The main processing process of the embodiment of the present invention can be found in Figure 3 understand, Figure 3 The specific content will not be repeated here.

[0119] In the embodiment of the present invention, obtaining a radar detection result of whether there is a person in the area by using the target model includes:

[0120] The signals obtained after preprocessing the reflected signals of each radar sensor in the radar sensor assembly are respectively input into the target model to obtain corresponding radar sensor detection results. When at least one radar sensor detection result shows that there is a person in the area, it is determined that the radar detection result is that there is a person.

[0121] That is to say, if there is more than one radar sensor, the reflected signal of each radar sensor is pre-processed and input into the corresponding target model separately to obtain its radar sensor detection result. As long as one radar sensor detection result shows that there is someone in the area, the radar detection result is determined to be someone.

[0122] In the embodiment of the present invention, determining the final detection result at the current detection moment according to the time period detection result, the radar detection result and the infrared detection result includes:

[0123] If the detection result of the time period at the current detection time is daytime, the radar detection result is determined as the final detection result at the current detection time;

[0124] If the time period detection result at the current detection time is night, the infrared detection result is determined as the final detection result at the current detection time.

[0125] Taking into account that there are more human activities during the day and the environmental factors in sunny rooms have a greater impact, it is more accurate to measure human movement by radar sensors; at night, the probability of human activities is smaller, and infrared sensor detection is relatively accurate in the absence of sunlight. Therefore, during the day, the detection results of the radar sensor shall prevail, and during the night, the detection results of the infrared sensor shall prevail.

[0126] In the embodiment of the present invention, the air conditioner intelligent wire controller also includes an infrared communication module; the infrared communication module is designed to be compatible with air conditioner controls of various manufacturers, so it can achieve the purpose of communicating with all air conditioners on the market to control the working status.

[0127] Specifically, the infrared communication module may be an infrared light emitting diode, which transmits a modulated signal toward the air conditioner, so that the air conditioner can be turned on or off after being received by an infrared receiver of the air conditioner.

[0128] Air conditioning control module: The air conditioning control module controls the working state of the air conditioning according to the final detection result, including:

[0129] If the air conditioning control module receives final detection results indicating that there is someone in the area within the first preset time period, a first type of binary instruction code is generated, and the first type of binary instruction code is modulated and sent to the air conditioner by using the infrared communication module to control the air conditioner to turn on;

[0130] If the air conditioning control module receives final detection results indicating that no one is in the area within the second preset time period, a second type of binary instruction code is generated, and after modulating the second type of binary instruction code, the code is sent to the air conditioner using the infrared communication module to control the air conditioner to shut down.

[0131] Specifically, in order to avoid false detection and reduce power consumption caused by frequent switching of the air conditioner, the embodiment of the present invention sets a first preset time for turning on the air conditioner and a second preset time for turning off the air conditioner. When the final detection results within the first preset time indicate that there are people in the area, the air conditioner is turned on, and when the final detection results within the second preset time indicate that there are no people in the area, the air conditioner is turned off. It can be set specifically according to needs, for example, the first preset time can be 10 minutes, and the second preset time can be 30 minutes.

[0132] The binary instruction code is composed of binary data. Modulating the second type of binary instruction code can be to perform pulse width modulation on the carrier signal and the binary instruction code to obtain a modulated signal. This process can be understood by referring to the relevant technology and will not be explained here.

[0133] The main application scenario of the present invention is public office places. Multiple air-conditioning smart wire controllers and multiple air conditioners can jointly control the temperature of the working area. According to different installation modes of the application environment, the air-conditioning smart wire controllers can correspond one-to-one with the air conditioners.

[0134] In one of the scenarios, the air conditioner intelligent wire controller detects whether there is a person and communicates in real time to determine the approximate location of the person, thereby determining which air conditioner outlet to turn on or off, thereby minimizing unnecessary resource waste. For specific scenario work control methods, please refer to Figure 4 Understand. One air conditioner smart wire controller can correspond to multiple air conditioner outlets, and each air conditioner outlet can match the position of the smart wire controller. According to the position of the person, the air conditioner smart wire controller can control the air conditioner outlets at the corresponding angles separately. And multiple air conditioner smart wire controllers can work in coordination. When the detection results of two or more air conditioner smart wire controllers are that there are people, the central air conditioner outlets controlled by these air conditioner smart wire controllers will be opened.

[0135] The smart air conditioner wire controller provided by the embodiment of the present invention has the following effects compared with the traditional wire controller:

[0136] 1. Automated and high-precision detection: Traditional thread machines can only be manually operated, which may cause the air conditioner to be missed and waste resources. The intelligent air conditioner wire controller provided by the embodiment of the present invention integrates radar, infrared and other sensors into the wire controller to achieve intelligent control of the air conditioner;

[0137] 2. Intelligent management and display: The intelligent air conditioner wire controller of the embodiment of the present invention can dynamically adjust parameters according to the different environments in which it is installed, including dynamically adjusting the detection interval during the day and at night, and can be connected with the local weather to adaptively adjust the misjudgment effect caused by objective environments such as dryness, humidity and wind speed in the air;

[0138] 3. Huge market demand: Due to the widespread use of central air conditioners, air conditioners are often left off, which causes huge waste of resources. The smart air conditioner wire controller has significant market application prospects and competitiveness.

[0139] It should be noted that, in the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0140] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. An intelligent wire controller for air conditioner, characterized in that: include: Radar sensor components, infrared sensor components, humidity sensors, networked main control MCU and air conditioning control modules, among which, 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; The infrared sensor assembly includes at least one infrared sensor; the infrared sensor is used to detect infrared radiation information of human body in the corresponding detection area, and output a voltage signal 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 the preset humidity threshold, and send the humidity comparison result to the networked main control MCU; The networked main control MCU is used to obtain environmental information at the current detection time through networking, including temperature values ​​and detection results belonging to the daytime or nighttime periods; determine the target model corresponding to the current detection time from multiple pre-trained models according to the environmental information and the humidity comparison result; obtain the radar detection result of whether there is a person in the area by using the target model after pre-processing the reflected signal sent by the radar sensor component; obtain the infrared detection result of whether there is a person in the area by using the voltage signal sent by the infrared sensor component; determine the final detection result at the current detection time according to the period detection result, the radar detection result and the infrared detection result; The air conditioning control module is used to control the working state of the air conditioning according to the final detection result.

2. The air conditioner intelligent wire controller according to claim 1, characterized in that: The radar sensor assembly includes a plurality of radar sensors, and each radar sensor corresponds to a direction.

3. The air conditioner intelligent wire controller according to claim 2, characterized in that: The infrared sensor assembly contains a plurality of infrared sensors, each infrared sensor corresponds to a direction, and the direction of the infrared sensor matches the direction of the radar sensor.

4. The air conditioner intelligent wire controller according to claim 1, characterized in that: The humidity comparison result includes: 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.

5. The air conditioner intelligent wire controller according to claim 4, characterized in that: According to the environmental information and the humidity comparison result, a target model corresponding to the current detection moment is determined from a plurality of pre-trained models, including: If the temperature value at the current detection moment 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 moment is less than the preset temperature threshold, the temperature comparison result is determined to be a low temperature result; According to the temperature comparison results, humidity comparison results and time period detection results at the current detection moment, the target model corresponding to the current detection moment is determined from multiple pre-trained models; wherein the multiple pre-trained models include: corresponding models trained with historical sample data under different combinations of temperature comparison results, humidity comparison results and time period detection results.

6. The air conditioner intelligent wire controller according to claim 5, characterized in that: The multiple pre-trained models include: The first model corresponds to the combination of low temperature results, low humidity results, and daytime; The second model corresponds to the combination of high temperature results, high humidity results, and daytime; The third model corresponds to the combination of low temperature results, low humidity results, and night; The fourth model corresponds to the combination of high temperature results, high humidity results, and night.

7. The air conditioner intelligent wire controller according to claim 1, characterized in that: The preprocessing of the reflected signal sent by the radar sensor assembly includes: Filtering and linear interpolation processing.

8. The air conditioner intelligent wire controller according to claim 2, characterized in that: The target model is used to obtain radar detection results of whether there are people in the area, including: The signals obtained after preprocessing the reflected signals of each radar sensor in the radar sensor assembly are respectively input into the target model to obtain corresponding radar sensor detection results. When at least one radar sensor detection result shows that there is a person in the area, it is determined that the radar detection result is that there is a person.

9. The air conditioner intelligent wire controller according to claim 1, characterized in that: Determining the final detection result at the current detection moment according to the time period detection result, the radar detection result and the infrared detection result includes: If the detection result of the time period at the current detection time is daytime, the radar detection result is determined as the final detection result at the current detection time; If the time period detection result at the current detection time is night, the infrared detection result is determined as the final detection result at the current detection time.

10. The air conditioner intelligent wire controller according to claim 1, characterized in that: Also includes an infrared communication module; The air conditioning control module controls the working state of the air conditioning according to the final detection result, including: If the air conditioning control module receives final detection results indicating that there is someone in the area within the first preset time period, a first type of binary instruction code is generated, and the first type of binary instruction code is modulated and sent to the air conditioner by using the infrared communication module to control the air conditioner to turn on; If the air conditioning control module receives final detection results indicating that no one is in the area within the second preset time period, a second type of binary instruction code is generated, and after modulating the second type of binary instruction code, the code is sent to the air conditioner using the infrared communication module to control the air conditioner to shut down.

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