Human body sensing method and device for air conditioner, air conditioner and storage medium

By integrating the WiFi module with integrated radar antennas on the air conditioner, and using the WiFi module to perform human perception in the wireless communication gap, the problem of high cost and poor compatibility of human perception solutions in smart home appliances is solved, and low-cost and low-power consumption human detection and distance calculation are achieved.

CN119983525APending Publication Date: 2025-05-13QINGDAO HAIER AIR CONDITIONER GENERAL CORP LTD
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Patent Information

Application Number
CN202510472096.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-16
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

Existing human perception solutions have problems of high cost and poor compatibility in smart home appliances, especially the hardware cost of radar perception technology is high and the power consumption is high, so it cannot be promoted on a large scale.

Method used

By integrating a WiFi module with integrated radar antennas on the air conditioner, the WiFi module is used to send electromagnetic wave signals in the wireless communication gap and receive reflected signals, extract signal characteristics related to human activities, and realize human perception and distance calculation.

Benefits of technology

Without increasing the amount of hardware, low-cost detection and distance calculation of human targets are achieved, which reduces overall power consumption and is promoted to smart home appliances, improving user experience.

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Abstract

The invention relates to the technical field of intelligent household appliances, and discloses a human body sensing method and device for an air conditioner, the air conditioner and a storage medium, the air conditioner is provided with a human body sensing module, the human body sensing module comprises a WiFi module integrated with a radar antenna, and the WiFi module works in a time division duplex mode so as to achieve human body sensing detection in a wireless communication gap; the method comprises the following steps: receiving an echo signal, wherein the echo signal is a signal reflected by a transmitting signal of a WiFi module radar antenna; analyzing and processing the echo signal to sense a human body target existing in the space; and under the condition that the human body target is sensed, determining the distance of the human body target according to the echo signal. According to the method, under the condition that the number of hardware is not increased, detection and distance calculation of the human body target are achieved with low cost. Therefore, the method can be popularized to intelligent household electrical appliances to perceive human body targets in corresponding function scenes, and the intelligent experience of users on household electrical appliances is improved.
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Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, for example, to a human body sensing method and device for air conditioners, air conditioners, and computer-readable storage media. Background Art

[0002] At present, human perception solutions mainly include radar perception and WiFi perception. Among them, radar perception uses radio waves to detect targets and obtain information such as their position, speed, and shape. Radar perception usually requires dedicated transmitting and receiving equipment, and achieves high-precision environmental perception by actively transmitting electromagnetic waves and analyzing echoes. However, the hardware cost and power consumption of high-frequency radar perception are high, and it cannot be widely promoted to smart home appliances of various price segments. WiFi detection technology mainly realizes human perception in a specific space through the change of WiFi channel state information (CSI) channel. Practical applications usually need to cooperate with routers, and the effect can only achieve presence or absence detection, and the algorithm needs to be adjusted according to the size and layout of different rooms. Different routers also affect the perception effect, and the overall compatibility is poor. In addition, the relative position of the WiFi module and the router has a great impact on the actual detection range, which is uncontrollable during actual use by users.

[0003] The related technology discloses a method for indoor dual-frequency continuous wave radar human body positioning and tracking, including: obtaining the signal Doppler frequency shift caused by human body movement by mixing and filtering the transmitted and received signals, and performing peak detection on the frequency shift signal; extracting the speed difference signal in the area near the peak according to the local speed difference compensation algorithm and matching it with the compensation template to obtain the best match, and calibrating the original signal; using the dual-frequency phase comparison mechanism, performing phase comparison operations on two continuous wave signals to obtain the distance information of the moving human body; and performing real-time trajectory tracking of the moving human body through the human body motion velocity vector combined with the blind spot correction model.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art: Although the related technology uses low-frequency radar waves and low-complexity algorithms to achieve radar positioning perception, it still has the problem of high cost due to the need to set up transceiver equipment.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical elements or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0007] The embodiments of the present disclosure provide a human body perception method, device, air conditioner and computer-readable storage medium for an air conditioner, which realize human body perception at a relatively low cost, thereby realizing the promotion and application in smart home appliances.

[0008] In some embodiments, a human body sensing module is provided on the air conditioner, and the human body sensing module includes a WiFi module with an integrated radar antenna, and the WiFi module operates in time division duplex mode to realize human body sensing detection in the gap of wireless communication; the method includes: receiving an echo signal, which is a signal reflected from the transmission signal of the WiFi module radar antenna; analyzing and processing the echo signal to sense the human body targets in the space; when the human body targets are sensed, determining the distance of the human body targets according to the echo signal.

[0009] In some embodiments, the device includes: a processor and a memory storing program instructions, and the processor is configured to execute the human body sensing method for air conditioning as described above when running the program instructions.

[0010] In some embodiments, the air conditioner is equipped with a human body sensing module, and the human body sensing module includes: a WiFi module; a radar module, including a radar antenna, integrated in the WiFi module; the WiFi module operates in time division duplex mode to realize human body sensing detection in the gap of wireless communication; and the human body sensing device for air conditioning as mentioned above.

[0011] In some embodiments, the computer-readable storage medium stores program instructions, and when the program instructions are executed, the computer executes the human body sensing method for air conditioning as described above.

[0012] The human body sensing method, device, air conditioner and computer-readable storage medium provided in the embodiments of the present disclosure can achieve the following technical effects: By reusing the existing WiFi module to send electromagnetic wave signals and receive reflected signals, the electromagnetic wave signal features and signal data that are strongly related to human target activities are extracted to achieve human target perception and calculate the human distance. In this way, human target detection and distance calculation can be achieved at a lower cost without increasing the amount of hardware. This can then be extended to smart home appliances to perceive human targets in corresponding functional scenarios, improving users' smart experience of home appliances.

[0013] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein: Figure 1 It is a schematic diagram of communication and radar signal transmission and reception provided by an embodiment of the present disclosure; Figure 2 is a schematic diagram of a first human body sensing method for air conditioning provided by an embodiment of the present disclosure; Figure 3 is a schematic diagram of the duty cycle of communication and radar signal reception and transmission provided by an embodiment of the present disclosure; Figure 4 is a schematic diagram of a second human body sensing method for air conditioning provided by an embodiment of the present disclosure; Figure 5 is a schematic diagram of a third human body sensing method for air conditioning provided by an embodiment of the present disclosure; Figure 6 It is a time domain schematic diagram of a wireless signal frame transmission wave having a specific waveform form transmitted by a Tx end provided in an embodiment of the present disclosure; Figure 7 It is a time domain schematic diagram of a wireless signal frame echo having a specific waveform form received by an Rx end provided by an embodiment of the present disclosure; Figure 8 is a schematic diagram of a device for a human body sensing method for air conditioning provided by an embodiment of the present disclosure; Fig. 9 It is a schematic diagram of an air conditioner provided in an embodiment of the present disclosure.

[0015] Reference numerals: 100: human body sensing device for air conditioning; 200: air conditioning; 101: processor; 103: communication interface; 102: memory; 104: bus. DETAILED DESCRIPTION

[0016] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0017] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0018] Unless otherwise stated, the term "plurality" means two or more.

[0019] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.

[0020] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0021] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0022] In the embodiments of the present disclosure, smart home appliances refer to home appliances that are formed by introducing microprocessors, sensor technology, and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent perception, and intelligent application. The operation process of smart home appliances often relies on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. For example, smart home appliances can be connected to electronic devices to enable users to remotely control and manage the smart home appliances.

[0023] The home appliance includes a WiFi (Wireless Fidelity) module, wherein the WiFi module is a transmission conversion product, and a connection with the Internet can be established by using the WiFi module. The home appliance can be a TV, a refrigerator, a washing machine, etc., which are also integrated with a WiFi module smart home device.

[0024] In the disclosed embodiment, the human perception module includes a WiFi module with an integrated radar antenna, and the WiFi module operates in a time-division duplex mode to realize human perception detection in the gap between wireless communications. Here, the radar antenna is integrated on the WiFi module, and the dual antennas transmit and receive electromagnetic waves in the 2.4GHz frequency band. Through signal processing and analysis of the reflected signal carrying spatial information based on the Doppler spectrum, the perception of spatial changes is realized to continuously track the distance of the human body, and realize the perception of human existence and distance. Specifically, the wireless communication data and radar wave transmission and reception of the human perception module are carried out in a time-sharing manner. In the gap between wireless communication services, wireless signal frames in a specific waveform form are transmitted and received to realize the perception function based on the radar principle. That is, the transmission and reception of radar perception are performed during the communication process, and the target detection and target ranging functions are realized in accordance with the basic radar principle. In this way, there is no need to set up an independent radar module, reuse the WiFi RF front end, and perception during the communication process can reduce the overall power consumption.

[0025] Combination Figure 1 As shown in the figure, during wireless communication, data transmission and reception are all through the RFIO (Radio Frequency Input / Output Antenna) antenna path, and data transmission and reception are carried out in time. When the radar is working, the radar wave is sent through the RFIO antenna path, and the radar wave is received through the RFI (Radio Frequency Input Antenna) antenna path, and radar transmission and reception are carried out simultaneously. Radar sensing is transmitted and received during the communication process.

[0026] Based on the above human body sensing module, combined with Figure 2 As shown, the first human body sensing method for air conditioning provided by the embodiment of the present disclosure includes: S101, the processor receives an echo signal, where the echo signal is a signal reflected from a transmission signal of a radar antenna of a WiFi module.

[0027] S102: The processor analyzes and processes the echo signal to sense the human target in the space.

[0028] S103, when a human target is sensed, the processor determines the distance of the human target according to the echo signal.

[0029] Here, after the radar signal is transmitted, it will be reflected when it encounters the human body; the reflected echo signal is analyzed and processed to perceive the human target and calculate the distance of the human target. In detail, the echo signal is analyzed and processed to extract the target echo. The target echo refers to the echo signal reflected by the human target. It can be understood that the radar wave will also be reflected after encountering other objects. The echo signal is processed and analyzed to filter out static clutter to retain the dynamic signal related to the human target. The processing and analysis of the echo signal can be carried out by matching filtering, coherent accumulation, adaptive filtering and interference suppression. It can also be used by phase modulation or micro-Doppler analysis, or Doppler filtering, etc. to enhance the micro-motion characteristics of the human target and filter out non-human targets.

[0030] Then, the signal-to-noise ratio can be solved in real time based on the processed echo signal, and the real-time solved signal-to-noise ratio can be compared with the preset threshold to output the perception result. Exemplarily, if the real-time solved signal-to-noise ratio is greater than the preset threshold, it is determined that the human target is perceived in the space. Alternatively, the signal-to-noise ratio can also be solved in real time based on the processed echo signal to generate a confidence level; when the confidence level is greater than the preset confidence level, it is determined that the human target is perceived in the space. After the human target is perceived, Doppler analysis is performed based on the echo signal to extract the time delay difference Δt between the transmitted signal and the echo signal, thereby determining the distance between the human perception module and the human target based on the time delay difference Δt. In this way, human perception and tracking are achieved by multiplexing the RF front end of the WiFi module and combining the processing and analysis of the radar signal.

[0031] By using the human body perception method for air conditioners provided by the embodiment of the present disclosure, the electromagnetic wave signal characteristics and signal data strongly related to human target activities are extracted by reusing the existing WiFi module to send electromagnetic wave signals and receive reflected signals, so as to realize the perception of human targets and calculate the distance of human bodies. In this way, the detection of human targets and the distance calculation can be realized at a lower cost without increasing the amount of hardware. It can then be extended to smart home appliances to perceive human targets in corresponding functional scenarios, thereby improving the user's smart experience of home appliances.

[0032] Optionally, a ratio of a time period of transmitting and receiving signals of the radar antenna to an overall time period is less than a preset duty cycle; Among them, the overall period is the sum of the radar sensing human body period and the communication period.

[0033] Combination Figure 3The timing diagram of the radar signal sending and receiving electromagnetic wave signals to the air interface in the wireless channel. In the gaps between WiFi wireless communication services, wireless signal frames with specific waveform forms (that is, the radar signal uses a WiFi-compatible waveform, such as orthogonal frequency division multiplexing subcarriers or specific pulse sequences to avoid frequency band conflicts) are sent and received to realize the perception function based on the radar principle, and the target detection and target ranging functions are realized in accordance with the most basic radar principles. During the communication process, the radar signal perception is sent and received, and the preset duty cycle can ensure the communication effect while performing the perception service, and can also reduce the overall power consumption. Exemplarily, the preset duty cycle is 2%.

[0034] Combination Figure 4 As shown, the embodiment of the present disclosure provides a second human body sensing method for air conditioning, comprising: S101, the processor receives an echo signal, where the echo signal is a signal reflected from a transmission signal of a radar antenna of a WiFi module.

[0035] S121, the processor enhances the energy of the target signal component in the echo signal; the target signal component is a valid signal related to the dynamics of the human body.

[0036] S122, the processor calculates and measures the signal-to-noise ratio in real time according to the energy-enhanced target signal component to obtain a signal-to-noise ratio value.

[0037] S123: The processor senses whether there is a human target in the space according to the signal-to-noise ratio value and the signal-to-noise ratio threshold.

[0038] S103, when a human target is sensed, the processor determines the distance of the human target according to the echo signal.

[0039] As mentioned above, the radar transmits a signal, receives an echo signal, and detects human targets by processing the signal. In this process, noise and interference will affect the detection performance, so the signal-to-noise ratio (SNR) of the signal needs to be improved. SNR is an important indicator to measure the ratio of the effective signal (that is, the effective signal related to the human body's dynamics) to the background noise in the signal. In the radar system, the level of SNR directly affects the reliability of target detection. A high SNR means a strong signal and easy detection of the target; a low SNR may lead to missed detection or false detection.

[0040] Here, the energy of the target signal component in the echo signal is enhanced to improve the signal-to-noise ratio. In detail, the energy of the target signal component can be maximized by cross-correlating the transmitted signal with the received signal (the SNR gain is positively correlated with the signal bandwidth). Alternatively, phase alignment and accumulation are performed on multiple pulse period signals (the SNR gain is proportional to the square root of the accumulated pulse number). Alternatively, the above two methods can be used to enhance the energy. In some embodiments, clutter can be filtered out first, and then the target signal can be extracted by matched filtering to maximize the energy of the target signal component. In this way, the target signal component after energy enhancement stands out from the noise, so that the accuracy of subsequent human target detection is improved.

[0041] S121, the processor enhances the energy of the target signal component in the echo signal, including: The processor maximizes the energy of the target signal component through cross-correlation operation.

[0042] The processor performs phase alignment accumulation on target signal components after cross-correlation operations of multiple pulse periods to enhance energy by utilizing the correlation of multiple signal components in phase.

[0043] Here, the received echo signal is first processed by matched filtering to extract the target signal component. This method can extract human features such as breathing and heartbeat. And because the human body in space is generally in a relatively static or uniform motion state. Therefore, for the extracted target signal component, the energy of the target signal component is enhanced by coherent accumulation. The SNR is improved by multi-pulse accumulation. In this way, the bandwidth gain and time gain are taken into account to improve the SNR.

[0044] S122, the processor performs real-time calculation of the signal-to-noise ratio according to the energy-enhanced target signal component to obtain the signal-to-noise ratio, including: The processor extracts the characteristics of the enhanced target signal component to deduce the target radar cross section.

[0045] The processor obtains the real-time distance based on the time difference between the transmitted signal and the echo signal.

[0046] The processor calculates the signal-to-noise ratio based on the relationship between the signal-to-noise ratio, the real-time distance, and the target radar cross-sectional area.

[0047] Here, the target radar cross-sectional area σ rcsIt is a parameter that measures the target's ability to reflect radar waves. Changes in human posture lead to changes in the effective reflection area of ​​radar waves, which in turn affects the target radar cross-sectional area. In detail, the larger the effective reflection area, the larger the target radar cross-sectional area. In general, the target radar cross-sectional area corresponding to the effective reflection area of ​​a non-lying human body is in the range of (0.6, 1.2). Therefore, the features in the enhanced target signal component are extracted to infer the target radar cross-sectional area. In detail, based on the time domain feature analysis of the signal, the signal amplitude and envelope features are statistically analyzed, and the target radar cross-sectional area corresponding to the time domain feature data is inferred based on a lightweight model or a convolutional neural network algorithm.

[0048] Then, based on the time delay difference between the transmitted signal and the echo signal, the real-time distance is obtained. The radar antenna transmits electromagnetic waves and receives the echo signal reflected by the target, and calculates the real-time distance using the time delay difference Δt of signal propagation. Among them, Δt=t rx -t tx .t tx is the time of transmitting the signal, t rx is the time when the signal is received. For example, t tx is the start time of the transmitted signal, t rx is the start time of receiving the signal. Then, the real-time distance Δr=c×Δt / 2. c is the signal transmission speed. In this way, the real-time distance can be calculated.

[0049]

[0050] The signal-to-noise ratio is calculated based on the SNR formula. In the above formula, P t represents the wireless signal transmission power, G represents the module chip antenna gain, λ represents the wavelength corresponding to the channel selected by the wireless service, σ rcs represents the target radar scattering cross-sectional area, B represents the signal bandwidth, F represents the noise coefficient of the module chip Rx end, L represents the consumption factor of the module chip system, k represents the Boltzmann coefficient, T0 represents the ambient temperature, and Δr represents the real-time distance; σ s Represents the amplitude statistics of the target signal component; σ n Represents the amplitude statistics of the noise signal component. Among them, σ rcs and Δr are dynamic parameters, and the other parameters are fixed parameters. Therefore, when obtaining σ rcs After Δr is calculated, the signal-to-noise ratio can be obtained.

[0051] Combination Figure 5 As shown, the embodiment of the present disclosure provides a third human body sensing method for air conditioning, including: S101, the processor receives an echo signal, where the echo signal is a signal reflected from a transmission signal of a radar antenna of a WiFi module.

[0052] S102: The processor analyzes and processes the echo signal to sense the human target in the space.

[0053] S131, when a human target is sensed, the processor extracts the distance delay difference of the target signal component in the echo signal.

[0054] S132: The processor determines the distance of the human target according to the mapping relationship between the distance delay difference and the distance.

[0055] Here, the target signal component Characterizes the human target to be detected to the radar transmission signal x t (t) The distance delay modulation characteristics of the radar reflect the actual distance between the human target to be detected and the radar. . Using the precise clock timing in the module chip, the human target signal component to be detected in the radar echo is x s (t) The effective extraction of the distance delay modulation feature ∆t (i.e., the demodulation process of the radar echo delay modulation feature in a specific waveform form) can realize the radial distance between the human target to be detected and the radar, i.e., the actual distance Among them, the distance delay difference is positively correlated with the actual distance.

[0056] Optionally, S131, the processor extracts the distance delay difference of the target signal component in the echo signal, including: The processor obtains the starting point position of the waveform envelope of the transmission signal and the starting point position of the waveform envelope of the echo signal.

[0057] The processor calculates the time difference between the starting point position of the waveform envelope of the transmission signal and the starting point position of the waveform envelope of the echo signal, and uses the time difference as the distance delay difference.

[0058] Combination Figure 6 and Figure 7 , Figure 6 It is a time domain diagram of the wireless signal frame transmission wave with a specific waveform form emitted by the Tx end. The distribution of its waveform envelope starts at the zero time position of the time dimension. This position represents that the module chip clock uses the radar transmission time as the starting point of the radar service time dimension. Figure 7 This is a time domain diagram of the wireless signal frame echo with a specific waveform received by the Rx end. The starting point of the radar echo signal waveform envelope has a specific delay difference in the time dimension compared to the radar transmission signal. , represents the range delay modulation characteristics of the target to be detected at the corresponding target distance position. The mapping relationship between the distance and position of the target to be detected can be obtained by The accurate measurement of can effectively estimate the target distance and position. Figure 6 and Figure 7 The horizontal axis is time (in seconds), and the vertical axis is the amplitude of the signal (the amplitude has no unit after the signal is normalized, and the amplitude only represents the relative strength of the signal).

[0059] Combination Figure 8 As shown, the embodiment of the present disclosure provides a human body sensing device 100 for air conditioning, including a processor 101 and a memory 102. Optionally, the device may also include a communication interface 103 and a bus 104. The processor 101, the communication interface 103, and the memory 102 may communicate with each other through the bus 104. The communication interface 103 may be used for information transmission. The processor 101 may call the logic instructions in the memory 102 to execute the human body sensing method for air conditioning of the above embodiment.

[0060] In addition, the logic instructions in the memory 102 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.

[0061] The memory 102 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 101 executes the function application and data processing by running the program instructions / modules stored in the memory 102, that is, the human body perception method for air conditioning in the above embodiment is implemented.

[0062] The memory 102 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 102 may include a high-speed random access memory and may also include a non-volatile memory.

[0063] Combination Fig. 9As shown, the embodiment of the present disclosure provides an air conditioner 200, including: a human body sensing module installed on the front of the air conditioner, the human body sensing module including: a WiFi module; a radar module, including a radar antenna, integrated in the WiFi module; the WiFi module works in time division duplex mode to realize human body sensing detection in the gap of wireless communication; and the above-mentioned human body sensing device 100 for air conditioner. The human body sensing device 100 for air conditioner is installed in the human body sensing module of air conditioner. The installation relationship described here is not limited to the internal placement of the human body sensing module of the air conditioner, but also includes the installation connection with other components of the human body sensing module of the air conditioner, including but not limited to physical connection, electrical connection or signal transmission connection, etc. It can be understood by those skilled in the art that the human body sensing device 100 for air conditioner can be adapted to a feasible subject, thereby realizing other feasible embodiments.

[0064] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the human body sensing method for air conditioning.

[0065] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, such as: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.

[0066] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listings. In addition, when used in this application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the presence of other identical elements in the process, method or device including the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0067] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0068] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0069] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A human body sensing method for air conditioning, characterized in that: The air conditioner is provided with a human body sensing module, the human body sensing module includes a WiFi module with an integrated radar antenna, and the WiFi module works in a time division duplex mode to realize human body sensing detection in the gap of wireless communication; the method includes: Receive an echo signal, which is a signal reflected from a transmission signal of a WiFi module radar antenna; Analyzing and processing the echo signal to sense human targets existing in the space; When a human target is sensed, the distance of the human target is determined according to the echo signal.

2. The method according to claim 1, characterized in that The ratio of the time period of transmitting and receiving signals of the radar antenna to the overall time period is less than a preset duty cycle; Among them, the overall period is the sum of the radar sensing human body period and the communication period.

3. The method according to claim 1, characterized in that Analyzing and processing the echo signal to sense the human target in the space, including: Enhancing the energy of a target signal component in the echo signal; the target signal component is a valid signal dynamically related to the human body; According to the energy-enhanced target signal component, the signal-to-noise ratio is solved in real time to obtain the signal-to-noise ratio; Whether there is a human target in the space is sensed according to the signal-to-noise ratio and the signal-to-noise ratio threshold.

4. The method according to claim 3, characterized in that Enhancing the target signal component in the echo signal, comprising: Maximize the energy of the target signal component through cross-correlation operation; Phase alignment and accumulation are performed on target signal components after cross-correlation operations of multiple pulse periods, so as to enhance the energy of the target signal components by utilizing the correlation of the phases of the multiple signal components.

5. The method according to claim 3, characterized in that: According to the energy-enhanced target signal component, the signal-to-noise ratio is solved in real time to obtain the signal-to-noise ratio, including: Extract the characteristics of the enhanced target signal component to calculate the target radar cross-section; Get the real-time distance based on the time difference between the transmitted signal and the echo signal; The signal-to-noise ratio is calculated based on the relationship between the signal-to-noise ratio, real-time distance, and target radar cross-sectional area.

6. The method according to any one of claims 1 to 5, characterized in that: Determining the distance of a human target according to the echo signal includes: Extracting the distance delay difference of the target signal component in the echo signal; The distance of the human target is determined based on the mapping relationship between the distance delay difference and the distance.

7. The method according to claim 6, characterized in that Extracting the distance delay difference of the target signal component in the echo signal includes: Obtaining the starting point position of the waveform envelope of the transmission signal and the starting point position of the waveform envelope of the echo signal; The time difference between the starting point position of the waveform envelope of the transmission signal and the starting point position of the waveform envelope of the echo signal is calculated, and the time difference is used as the distance delay difference.

8. A human body sensing device for air conditioning, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the human body sensing method for air conditioning according to any one of claims 1 to 7 when running the program instructions.

9. An air conditioner equipped with a human body sensing module, characterized in that: The human body sensing module comprises: WiFi module; A radar module, including a radar antenna, is integrated into a WiFi module; the WiFi module operates in a time division duplex mode to achieve human perception detection in the gap between wireless communications; and, A human body sensing device for an air conditioner as claimed in claim 8.

10. A computer-readable storage medium storing program instructions, characterized in that: When the program instructions are executed, the computer is used to execute the human body sensing method for air conditioning according to any one of claims 1 to 7.

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