Human body detection method based on WiFi, multi-split air conditioner and household appliance control system

Abstract

The invention discloses a WiFi-based human body detection method and device, a multi-split air conditioner, a household appliance control system and a readable storage medium, and the method comprises the steps: receiving WiFi information transmitted by electronic equipment in each space, and extracting channel state information from each piece of WiFi information; determining whether the first channel state information carries human body existence information; if the first channel state information carries the human body existence information, determining whether second channel state information carries the human body existence information; and if the second channel state information carries human body existence information, determining a target space where a human body is located according to the signal intensity of the first channel state information and the signal intensity of the second channel state information. According to the embodiment of the invention, when human body detection is carried out based on WiFi, the specific space where a person is located can be defined, and then the intelligent electronic equipment in the whole house can be adjusted according to the space where the person is located, so that the intelligent electronic equipment in the whole house can be accurately controlled.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to a human body detection method, device, multi-connector, home appliance control system and readable storage medium based on WiFi. Background Art

[0002] In the related technologies, the methods of identifying the presence of human body indoors mainly include radar recognition, infrared recognition or video recognition, etc. However, these recognition methods require the addition of physical hardware equipment to implement, which requires additional cost.

[0003] WiFi-based human detection technology has gradually matured, and WiFi-based human detection technology can identify the presence of the human body, replace physical hardware equipment, and reduce the cost of physical hardware. Therefore, WiFi-based human detection technology is becoming more and more widely used. However, since both 2.4G and 5G electromagnetic waves have a certain ability to penetrate walls, when the WiFi channel status information carries human body information, it cannot determine whether the person is in the room where the WiFi module is located or in an adjacent room. In other words, when WiFi-based human detection technology detects human presence information, it cannot clearly determine the area or space where the person is located. Presence detection cannot be applied to the field of whole-house intelligent control of electronic equipment. When intelligent control is performed by detecting the personnel situation in each room, precise control of electronic equipment cannot be achieved.

[0004] It should be noted that the above contents are only used to assist in understanding the technical problems solved by the present invention, and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a WiFi-based human body detection method, device, multi-link, home appliance control system and readable storage medium, so that when performing human body detection based on WiFi, the specific space where the person is located can be clearly identified, and then the smart electronic devices in the whole house can be adjusted according to the space where the person is located, so as to achieve precise control of the smart electronic devices in the whole house.

[0006] Based on this, the present invention provides a human body detection method based on WiFi, and the human body detection method based on WiFi comprises the following steps:

[0007] Receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information;

[0008] Determining whether the first channel state information carries human presence information, wherein the channel state information extracted from the WiFi information sent by the electronic device in the first space is the first channel state information, and the first space is the space where the router is located;

[0009] If the first channel state information carries human body presence information, determining whether the second channel state information carries human body presence information, wherein the space other than the first space is the second space, and the channel state information extracted from the WiFi information sent by the electronic device in the second space is the second channel state information;

[0010] If the second channel state information carries information about the presence of a human body, the target space where the human body is located is determined according to the signal strengths of the first channel state information and the second channel state information.

[0011] Optionally, the step of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information includes:

[0012] When the signal strength of the first channel state information is greater than the signal strength of the second channel state information, determining that the first space is a target space where a human body is located;

[0013] When the signal strength of the first channel state information is less than the signal strength of the second channel state information, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

[0014] Optionally, before the step of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information, the step further includes:

[0015] If the second channel state information carries human body presence information, determining a correlation between the first channel state information and the human body presence information of the second channel state information;

[0016] When the correlation is greater than or equal to a preset threshold, performing the step of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information;

[0017] When the correlation is less than the preset threshold, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

[0018] Optionally, the WiFi-based human body detection method further includes:

[0019] If the second channel state information does not carry the human body presence information, determining the first space as the target space where the human body is located;

[0020] Alternatively, if the first channel state information does not carry human body presence information, but the second channel state information carries human body presence information, then the second space where the WiFi information transmitter to which the second channel state information belongs is located is the target space where the human body is located.

[0021] Optionally, the WiFi-based human body detection method further includes:

[0022] The operation modes of electronic devices in other spaces except the target space are adjusted to reduce the power consumption of the electronic devices.

[0023] The present invention also provides a human body detection method based on WiFi, and the human body detection method based on WiFi comprises the following steps:

[0024] Receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information;

[0025] Identify whether each channel state information carries human presence information;

[0026] When at least two of the channel state information carry human body presence information, the target space where the human body is located is determined according to the signal strength of the channel state information carrying the human body presence information.

[0027] Optionally, the step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information includes:

[0028] Determine target channel state information that carries the human body presence information and has a strong signal;

[0029] The space where the WiFi information sending end to which the target channel state information belongs is located is determined as the target space where the human body is located.

[0030] Optionally, the step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information further includes:

[0031] Determine the correlation between the human presence information carried in at least two of the channel state information;

[0032] When the correlation is greater than or equal to a preset threshold, performing the step of determining the target channel state information carrying the human body presence information and having a strong signal;

[0033] When the correlation is less than the preset threshold, the space where the WiFi information sending terminal to which each channel state information carrying the human body presence information belongs is located is determined to be the target space where the human body is located.

[0034] Optionally, the step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information includes:

[0035] When at least two of the channel state information carry human presence information, determining whether the space where the WiFi information sending end to which the channel state information carrying the human presence information belongs is located includes the first space, where the first space is the space where the router is located;

[0036] If yes, determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information;

[0037] If not, determine that the space where the WiFi information sending end to which each channel state information carrying the human body presence information belongs is located is the target space where the human body is located.

[0038] Optionally, the step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information includes:

[0039] comparing the signal strengths of the first channel state information and the second channel state information, wherein, in the WiFi information sent by the electronic device in the first space, the channel state information carrying the human body presence information is the first channel state information, the space other than the first space is the second space, and in the WiFi information sent by the electronic device in the second space, the channel state information carrying the human body presence information is the second channel state information;

[0040] When the signal strength of the first channel state information is greater than the signal strength of the second channel state information, determining that the first space is a target space where a human body is located;

[0041] When the signal strength of the first channel state information is less than the signal strength of the second channel state information, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

[0042] The present invention also provides a WiFi-based human body detection device, which includes a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method described above are implemented.

[0043] The present invention also provides a multi-split system, which includes an outdoor unit and at least two indoor units, wherein the indoor units are connected to the outdoor unit, and each of the indoor units is provided with a WiFi module. The multi-split system also includes a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described above are implemented.

[0044] The present invention also provides a home appliance control system, which includes multiple home appliance devices, each of which is equipped with a WiFi module. The home appliance control system also includes: a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described above are implemented.

[0045] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a human body detection program, and when the human body detection program is executed by a processor, the steps of the WiFi-based human body detection method as described above are implemented.

[0046] The human body detection method, device, multi-link and readable storage medium based on WiFi provided by the present invention detect whether there is a human body within the coverage of WiFi through the channel state information in the WiFi information. Specifically, based on the layout characteristics of the router and each electronic device, the channel state information in the WiFi information sent by the electronic device in the space where the router is located carries the human body existence information. Based on this judgment, it can be determined whether there is a person in the space where the router is located. In combination with whether the signal state information in the WiFi information sent by the electronic device in other spaces carries the human body existence information, it is determined whether there are people in other spaces, or whether the person detected in the space where the router is located is a person in an adjacent space. Then, the target space where the person is located can be determined through the channel strength of each channel state carrying the human body existence information. When this embodiment is applied to the whole house intelligent control, even if there are many rooms involved, this embodiment can also provide clear location information of the person to the control unit, so as to realize accurate control of the electronic devices of the whole house intelligent according to the location of the person. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0048] Figure 1 A schematic diagram of the hardware environment architecture involved in the WiFi-based human body detection method provided by the present invention;

[0049] Figure 2 A schematic diagram of a flow chart of a first embodiment of a WiFi-based human body detection method provided by the present invention;

[0050] Figure 3 A schematic flow chart of a second embodiment of a human body detection method based on WiFi provided by the present invention;

[0051] Figure 4 A schematic diagram of a use scenario of the WiFi-based human body detection method provided by the present invention;

[0052] Figure 5 A schematic diagram of a flow chart of a third embodiment of a WiFi-based human body detection method provided by the present invention;

[0053] Figure 6 A schematic diagram of another usage scenario of the WiFi-based human body detection method provided by the present invention.

[0054] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0056] In the related technologies, the methods of identifying the presence of human body indoors mainly include radar recognition, infrared recognition or video recognition, etc. However, these recognition methods require the addition of physical hardware equipment to implement, which requires additional cost.

[0057] The human body detection technology based on WiFi is gradually maturing, and the human body detection technology based on WiFi can identify the presence of human body, replace physical hardware equipment, and reduce the cost of physical hardware. Therefore, the human body detection technology based on WiFi is more and more widely used. The principle of human body detection technology based on WiFi is: obtain channel state information (CSI) according to the L-LTF (Non-HT Long Training field) field in WIFI communication. Determine whether there is a person in the coverage range according to the change of CSI. Since 2.4G and 5G electromagnetic waves have a certain ability to penetrate walls, when the channel state information of WiFi carries human body information, it cannot determine whether the person is in the room where the WiFi module is located or in the adjacent room. In other words, the human body detection technology based on WiFi detects the presence information of the person, and cannot clearly identify the area or space where the person is located. The presence detection cannot be applied to the field of whole-house intelligent control of electronic equipment. When intelligent control is performed by detecting the personnel situation in each room, precise control of electronic equipment cannot be achieved.

[0058] Based on this, the WiFi-based human detection method provided in the embodiment of the present invention combines the situation where the channel state information carries the human presence information and the signal strength of the channel state information carrying the human presence information to identify the human presence in each space, thereby realizing intelligent control of the electronic equipment in each space, and the recognition accuracy is high, and the control accuracy of the corresponding electronic equipment is also high.

[0059] In order to better understand the technical solutions provided by the embodiments of the present invention, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0060] As an implementation method, the hardware environment architecture involved in the WiFi-based human body detection method can be as follows: Figure 1 shown.

[0061] Optionally, the hardware architecture involved in the human body detection method based on WiFi includes an electronic device with a WiFi module, a router, etc., wherein the electronic device includes an indoor unit in a multi-split system. Optionally, the execution terminal involved in the human body detection method based on WiFi can be a router or a whole-house intelligent control terminal, such as a multi-split control terminal (multi-split host, etc.).

[0062] As an implementation, the execution terminal includes: a processor 101, such as a CPU, a memory 102, and a communication bus 103. The communication bus 103 is used to realize the connection and communication between these components. The processor 102 is used to call an application to execute a control operation.

[0063] The memory 102 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory.

[0064] It can be understood that, in one embodiment, the human body detection program for implementing the WiFi-based human body detection process is stored in the memory 102 of the execution terminal, or in a computer-readable storage medium, and when the processor 101 calls the human body detection program from the memory 102 or the computer-readable storage medium, the following operations are performed:

[0065] Receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information;

[0066] Determining whether the first channel state information carries human presence information, wherein the channel state information extracted from the WiFi information sent by the electronic device in the first space is the first channel state information, and the first space is the space where the router is located;

[0067] If the first channel state information carries human body presence information, determining whether the second channel state information carries human body presence information, wherein the space other than the first space is the second space, and the channel state information extracted from the WiFi information sent by the electronic device in the second space is the second channel state information;

[0068] If the second channel state information carries information about the presence of a human body, the target space where the human body is located is determined according to the signal strengths of the first channel state information and the second channel state information.

[0069] Alternatively, do the following:

[0070] Receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information;

[0071] Identify whether each channel state information carries human presence information;

[0072] When at least two of the channel state information carry human body presence information, the target space where the human body is located is determined according to the signal strength of the channel state information carrying the human body presence information.

[0073] Based on the hardware architecture of the above air conditioner, the following embodiments of the present invention are proposed.

[0074] First embodiment

[0075] Please refer to Figure 2 The WiFi-based human body detection method proposed in the embodiment of the present invention comprises the following steps:

[0076] Step S110, receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information;

[0077] In this embodiment, the execution terminal of the human body detection method based on WiFi is a whole-house intelligent system of a router or electronic device. Optionally, the whole-house intelligent system of electronic devices includes a multi-connection machine, and the multi-connection machine includes an outdoor machine and multiple indoor machines, and the indoor machines are respectively located in each room (hereinafter referred to as a space, which is a space bounded by a room), and the indoor machine is the electronic device. For the purpose of illustration, the execution terminal of the human body detection method based on WiFi is a multi-connection machine (host).

[0078] Optionally, the multi-connection device is connected to a router, and can receive WiFi information sent by each electronic device based on the router.

[0079] Optionally, each electronic device is provided with a WiFi module, and the WiFi module communicates with a router. When powered on, the WiFi module sends WiFi information to the router. If there is a person in the space or the space passed by, the CSI (channel state information) in the WiFi information will change, so the presence of a human body can be determined based on the CSI. Therefore, this embodiment extracts channel state information from the WiFi information sent by each electronic device to facilitate the identification of the presence of a human body.

[0080] Step S120, determining whether the first channel state information carries human presence information;

[0081] The channel state information extracted from the WiFi information sent by the electronic device in the first space is the first channel state information, and the first space is the space where the router is located.

[0082] It should be noted that the coverage range of the WiFi module is generally the space where the WiFi module is located, as well as the path of the electromagnetic waves fed back by the WiFi module to the router, or the space within a certain range of the WiFi module. Therefore, when there are people in the space where the WiFi module is located, the channel state information generally carries information about the presence of human bodies. When there are people in the space where the router is located, the channel state information in the WiFi information returned to the router by all WiFi modules generally carries information about the presence of human bodies. Therefore, this embodiment takes the space where the router is located, such as the first space as a reference, and first determines whether the channel state information extracted from the WiFi information sent by the electronic device in the first space carries information about the presence of human bodies, so as to identify and determine whether there may be people in the first space. It should be noted that the judgment of the presence of human bodies is to perform CSI judgment on a specific channel, and the information sent by the specific channel is specific.

[0083] Optionally, the human presence information is determined by human motion characteristics, breathing characteristics, etc., and the channel state information includes a signal representing human motion or breathing, and the human presence information can be determined by detecting the signal.

[0084] If yes, that is, if the first channel state information carries human presence information, executing step S130 to determine whether the second channel state information carries human presence information;

[0085] The space other than the first space is the second space, and the channel state information extracted from the WiFi information sent by the electronic device in the second space is the second channel state information.

[0086] If the first channel state information carries the information about the presence of a human body, it means that the WiFi information fed back to the router by the WiFi module in the space where the router is located passes through the human body, that is, there is a human body within the coverage range of the WiFi module. At this time, the person may be in the space where the router is located, that is, the first space, or in other spaces closer to the electronic device.

[0087] In order to determine whether a person is in the first space or in another space other than the first space, after determining that the first channel state information carries human presence information, this embodiment determines whether the second channel state information extracted from the WiFi information sent by the electronic device in another space (such as the second space) other than the first space carries human presence information, so as to determine whether other spaces other than the first space also have human presence information, thereby facilitating the distinction of the target space where the person is located.

[0088] If so, that is, if the second channel state information carries human presence information, step S140 is executed to determine the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information.

[0089] If the second channel state information carries human presence information, it means that there may be a person in the second space (the WiFi information coverage of the second space), or the human presence information may be human presence information in the first space (the human body passing through the first space during the process of WiFi information feedback to the router). Therefore, the person may be in the first space where the router is located, or in the second space, or in both the first space and the second space.

[0090] Based on this, this embodiment combines the signal strengths of the first channel state information and the second channel state information to determine the target space where the human body is located. It should be noted that in this embodiment, the second channel state information whose signal strength is compared with the first channel state information is information carrying information about the presence of the human body.

[0091] Optionally, in this embodiment, the method of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information includes but is not limited to the following methods:

[0092] For example, if the signal strength of the first channel state information and the second channel state information are compared, if the signal strength of the first channel state information is greater than the signal strength of the second channel state information, it means that the first channel state information has not passed through the wall. If the human body is in the second space adjacent to the first space, the WiFi information needs to pass through the wall for the first time, then pass through the human body, and then pass through the wall for the second time to return to the router in the first space. The WiFi information passes through the wall twice, and the signal strength is greatly weakened. Therefore, if the person is in the second space, the signal strength of the first channel state information will be less than the signal strength of the second channel state information. It can be seen that when the signal strength of the first channel state information is greater than the signal strength of the second channel state information, the first channel state information has not passed through the wall, which means that the person is in the first space (the WiFi information sent by the electronic device in the first space passes through the human body and directly returns to the router without passing through the wall). Therefore, the first space is determined to be the target space where the human body is located. In other words, there must be someone in the first space.

[0093] On the contrary, if the signal strength of the first channel state information is less than the signal strength of the second channel state information, it means that the first channel state information detects the human body only after passing through the wall, and the human body is not in the first space, but in the second space. Therefore, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

[0094] Optionally, in some embodiments, the target space where the human body is located can be identified in combination with the transmission power information of the WiFi information, such as comparing the signal strength corresponding to the transmission power information with the received signal strength. If the difference is large, it means that the signal strength is greatly weakened. At this time, if the WiFi information passes through the wall, it means that the human body information is detected only after passing through the wall, so the person is not in the space where the WiFi module is located. Otherwise, it means that the person is in the space where the WiFi module is located without passing through the wall.

[0095] Optionally, when the second channel state information does not carry human presence information, step S150 is executed to determine that the first space is a target space where the human body is located.

[0096] When determining whether the second channel state information carries human presence information, if the second channel state information does not carry human presence information, it means that there is no person in the second space, and the WiFi information sent by the electronic device in the second space does not pass through the human body on the path back to the router. If the first channel state information carries human presence information, it is determined that the human body is in the first space (the WiFi information transmitted by the electronic device in the first space has a wide coverage range and can detect people in the space), that is, there must be someone in the first space.

[0097] Optionally, if the first channel state information does not carry human presence information, step S160 is executed, and the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located, wherein the second channel state information carries human presence information.

[0098] When determining whether the first channel state information carries human presence information, if the first channel state information does not carry human presence information, it means that there is no person in the first space. At this time, it is possible to continue to identify whether the second channel state information extracted from the WiFi information sent by the electronic device in the second space carries human presence information. If the second channel state information carries human presence information, it means that the person is in the WiFi coverage, that is, in the second space, and not in the first space (if in the first space, the first channel state information will carry human presence information).

[0099] In the implementation of multiple second spaces, since the possibility of WiFi information between the second spaces overlapping each other is low, the human presence information carried in the general WiFi is that there is a person in the space where the electronic device sending the WiFi information is located. Therefore, this embodiment determines that there is a person in the second space where the WiFi information sending end to which the second channel state information belongs is located.

[0100] In this embodiment, the target space where a person is located can be determined based on WiFi information in the above manner. In the whole-house intelligent control application of electronic devices, after the target space where a person is located is determined, the electronic devices in each space can be controlled according to the needs of the person or the energy-saving needs of no one. In one embodiment, the human body detection method based on WiFi also includes:

[0101] Step S170, adjusting the operation modes of electronic devices in other spaces except the target space to reduce the power consumption of the electronic devices.

[0102] After determining the target space where people are located, energy-saving control can be performed for electronic equipment in the unoccupied space. Taking multi-connected whole-house intelligent control as an example, the indoor unit of the unoccupied room can be adjusted to low power consumption mode to reduce the power consumption of the indoor unit in the unoccupied room.

[0103] This embodiment uses the channel state information in the WiFi information to detect whether there is a human body within the coverage of the WiFi. Specifically, based on the layout characteristics of the router and each electronic device, the channel state information in the WiFi information sent by the electronic device in the space where the router is located is used to determine whether there is a person in the space where the router is located. Based on this judgment, it can be determined whether there is a person in the space where the router is located. In combination with whether the signal state information in the WiFi information sent by the electronic device in other spaces carries the human body information, it is determined whether there are people in other spaces, or whether the person detected in the space where the router is located is a person in an adjacent space. Then, the target space where the person is located can be determined by the channel strength of each channel state that carries the human body information. When this embodiment is applied to the whole house intelligent control, even if there are many rooms involved, this embodiment can also provide the control unit with clear location information of the person, so as to realize accurate control of the electronic devices in the whole house intelligent control according to the location of the person.

[0104] Second embodiment

[0105] Please refer to Figure 3 This embodiment is based on the first embodiment. Optionally, relative to the first embodiment, this embodiment also combines the correlation of the human body presence information carried by each channel state information to determine whether the human body presence information carried by the first space and the second space is the same person, thereby avoiding missing the person in the second space (the case where the person is different from the first space). Before the step of determining the target space where the human body is located according to the signal strength of the first channel state information and the second channel state information, it also includes:

[0106] Step S180, determining whether the correlation between the first channel state information and the human presence information of the second channel state information is greater than or equal to a preset threshold;

[0107] In this embodiment, if the first channel state information carries human body information, and the second channel state information carries human body presence information, it is possible that a person is in the first space, or there are different people in the first space and the second space. In order to further determine whether it is the latter, the correlation between the human body presence information carried by the first channel state and the second channel state is determined.

[0108] If the correlation is greater than or equal to a preset threshold (threshold value of the correlation), it means that the human presence information carried by the first channel state information and the second channel state information is the same person, and the person may be in the first space. The WiFi information sent by the electronic device in the first space passes through the human body, so the first channel state information carries the human presence information. The WiFi information sent by the electronic device in the second space passes through the human body during the process of being fed back to the router in the first space, so the second channel state information also carries the human presence information. Since it is the same person, the correlation of the human presence information is greater than or equal to the preset threshold. At this time, it can be determined that the person may be in the first space.

[0109] Furthermore, it is also possible that the human body presence information carried by the first channel state information is detected when it passes through the wall to the second space. Therefore, in order to improve the accuracy of detection, this embodiment performs step S140 when the correlation is greater than or equal to the preset threshold, that is, the target space where the human body is located is determined according to the signal strength of the first channel state information and the second channel state information. Optionally, the specific process of this step is the same as step S140 of the first embodiment above, and the description of S140 in the above embodiment can be referred to.

[0110] If the correlation is less than the preset threshold, it means that the human presence information carried by the first channel state information and the second channel state information represents two different people, and the different people are in the first space and the second space respectively. In an embodiment of multiple second spaces, the second space where the WiFi information sending end to which the second channel state information belongs is located is determined to be the target space where the human body is located, that is, the space where the electronic device sending the second channel state information is located, and it is determined that there is a person.

[0111] For example: Figure 4 As shown, it is assumed that a user's home has five spaces (five rooms), and the five spaces are respectively provided with electronic devices D1 to D5, and each electronic device is provided with a WiFi module. Among them, the electronic device in the space where the router is located is D2, that is, the space where D2 is located is the first space, and the arrows indicate the partial transmission paths of the WiFi information sent by the electronic devices in each space to the router.

[0112] If the channel state information in the WiFi information sent by D2 carries the information of human presence, the person may be in the space owned by D2 or in the room where D3 is located. Therefore, it is determined whether the channel state information in the WiFi information sent by D1, D3, D4 and D5 carries the information of human presence. If D3 carries it, the human presence information carried by D3 may be that there is a person in the room where D2 is located or in the room where D3 is located. At this time, the signal strength of the channel state information carrying the human presence information of D2 and D3 can be compared. If D2 is greater than D3, it means that the person is in the room where D2 is located (the information of D2 has not passed through the wall). If D2 is less than D3, it means that the person is in the room where D3 is located.

[0113] Furthermore, in order to identify whether there are people in the spaces where D2 and D3 are located, the correlation of the human presence information carried by D2 and D3 is also determined. If the correlation is greater than or equal to the preset threshold, it means that the human presence information carried by D2 and D3 is the information of the same person. At this time, the person may be in D2 or in D3, so the signal strength of the channel state information carrying the human presence information of D2 and D3 can be compared to determine the location of the person (refer to the above comparison method). If the correlation is less than the preset threshold, it means that the human presence information carried by D2 and D3 is not the information of the same person, and it is determined that there are people in the rooms where D2 and D3 are located.

[0114] Optionally, if there is someone in D1, D4 or D5, the above method is also used for identification, or different identification methods are selected according to the different layout positions of each electronic device. If the electronic devices of D1, D4 and D5 are far away from the adjacent space, the possibility of WiFi penetrating the wall to detect the adjacent human body is low, then when D1, D4 and D5 carry human presence information, it is directly determined that there is someone in the room where D1, D4 and D5 are located.

[0115] Third embodiment

[0116] Please refer to Figure 5 The present invention also proposes a human body detection method based on WiFi, and the human body detection method based on WiFi comprises the following steps:

[0117] Step S210, receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information;

[0118] The execution terminal of this embodiment is the same as that of the above embodiment. The reception of WiFi information and the extraction of channel state information are the same as those of the above first embodiment. The specific process may refer to the above first embodiment.

[0119] Different from the above embodiment, in this embodiment, when the channel state information in two WiFi information carries human presence information, the human body detection method of this embodiment is used to determine the target space where the person is located. When only one channel state information carries human presence information, the source of the channel state information is directly determined to determine the target space where the person is located. Compared with the above embodiment, this embodiment covers a wider range. For example, regardless of whether the channel state information that extracts human presence information comes from the space where the router is located or other spaces, the target space where the person is located is determined in combination with the signal strength of the channel state information, so as to achieve accurate judgment of the location of the person in various scenarios.

[0120] If the WiFi information sent by the electronic device in the first space does not extract the channel state information carrying the human presence information, but the WiFi information of other second spaces extracts the channel state information carrying the human presence information, this embodiment can avoid the situation where the through-wall detection of two adjacent second spaces causes the human body to be detected incorrectly. If the WiFi information sent by the electronic device in the first space extracts the channel state information carrying the human presence information, this embodiment can also avoid the situation where the through-wall detection of the human body in the second space causes the human body to be detected incorrectly.

[0121] Step S220, identifying whether each channel state information carries human presence information;

[0122] Step S230: When at least two of the channel state information carry human body presence information, determine the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information.

[0123] In this embodiment, the method for identifying human presence information and the scenario in which the channel state information carries human presence information in step S220 are the same as those of step S120 in the first embodiment above. Step S220 in this embodiment can refer to step S120 in the first embodiment above and will not be repeated here.

[0124] Optionally, in a usage scenario, when any two channel state information carry information about the presence of a human body, the target space where the human body is located is determined in combination with the signal strength of the channel state information. The process is as follows: determine the target channel state information that carries the information about the presence of a human body and has a strong signal, that is, compare the signal strength of the channel state information that carries the information about the presence of a human body to see which signal strength is stronger; determine the space where the WiFi information transmitter to which the target channel state information belongs is located as the target space where the human body is located. If the signal strength of the channel state information that carries the information about the presence of a human body is strong, it means that after the WiFi information transmitter (that is, the electronic device) described in the channel state information sends the WiFi information, it is directly fed back to the router through the human body without passing through the wall, or the number of times it passes through the wall is small, so its signal strength is the largest.

[0125] This usage scenario is as follows Figure 6 As shown, a user's home is assumed to have five spaces (five rooms), and the five spaces are respectively provided with electronic devices D1 to D5, each of which is provided with a WiFi module. Among them, the electronic device in the space where the router is located is D2, and the arrows indicate the partial transmission paths of the WiFi information sent by the electronic devices in each space to the router.

[0126] Among them, the WiFi information sent by the D5 electronic device needs to pass through the room where D1 and D2 are located to return to the router, and the WiFi information sent by the D3 electronic device needs to pass through the room where D4 and D2 are located to return to the router. Therefore, the human presence information carried by D5 may be the human body in the room where D1 and D2 are located, and the human presence information carried by D3 may be the human body in the room where D4 and D2 are located. Therefore, as long as there are two channel state information carrying human presence information, the human position is judged in combination with the signal strength.

[0127] If the channel state information extracted from the WiFi information of D1 and D5 both carry information about the presence of a human body, then by comparing the signal strength of the channel state information, if the signal strength of the channel state information of D1 carrying information about the presence of a human body is greater than that of D5, it means that a person is in the room where D1 is (because D5's WiFi information passes through the wall twice and the signal strength is weakened. If a person is in D5, D1's WiFi information needs to pass through the wall three times to be transmitted to the router, so the signal strength is weaker than that of D5); otherwise, it means that a person is in the room where D5 is.

[0128] The channel state information extracted from the WiFi information of D3 and D4 both carry the human presence information, and the judgment process is the same as that of D1 and D5 above, so it will not be described again.

[0129] If the channel state information extracted from the WiFi information of D2 and D1, D3, D4 or D5 all carries the information about the presence of a human body, the target space where the human body is located can also be determined by comparing the signal strength of the channel state information. Specifically, the channel state information extracted from the WiFi information of D1 and D5 all carries the identification information about the presence of a human body.

[0130] Alternatively, in other embodiments, based on the fact that the space where D2 is located is the space where the router is located, it is possible to identify whether the space where the WiFi information sending end to which one of the at least two channel state information belongs is located, and whether it includes the first space, which is the space where the router is located, by carrying human body presence information in at least two channel state information.

[0131] If yes, it means that the human body may be in any space of D2 and D1, D3, D4 or D5, or there are people in each space. Then, according to the signal strength of the channel state information carrying the human body existence information, the target space where the human body is located is determined, and the location of the human body is further clarified, and the space where no human is present is clarified.

[0132] If not, it means that there is no person in the space where D2 is located, a person is in any space among D1, D3, D4 or D5, or there are people in multiple spaces. Therefore, by determining that the space where the WiFi information transmitter to which each channel state information carrying human presence information belongs is located is the target space where the human body is located.

[0133] In this embodiment, the step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information includes:

[0134] comparing the signal strengths of the first channel state information and the second channel state information, wherein, in the WiFi information sent by the electronic device in the first space, the channel state information carrying the human body presence information is the first channel state information, the space other than the first space is the second space, and in the WiFi information sent by the electronic device in the second space, the channel state information carrying the human body presence information is the second channel state information;

[0135] When the signal strength of the first channel state information is greater than the signal strength of the second channel state information, determining that the first space is a target space where a human body is located;

[0136] When the signal strength of the first channel state information is less than the signal strength of the second channel state information, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

[0137] In this embodiment, the specific process of determining the target space where a person is located by using the signal strength of the channel state information carrying the human presence information is the same as that of the first embodiment above. For details, please refer to the first embodiment above and will not be repeated here.

[0138] In an optional embodiment, in order to further improve the accuracy of recognition, the step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information further includes:

[0139] Determine the correlation between the human presence information carried in at least two of the channel state information;

[0140] When the correlation is greater than or equal to a preset threshold, performing the step of determining the target channel state information carrying the human body presence information and having a strong signal;

[0141] When the correlation is less than the preset threshold, the space where the WiFi information sending terminal to which each channel state information carrying the human body presence information belongs is located is determined to be the target space where the human body is located.

[0142] In this embodiment, the target space where the human body is located is identified by combining the correlation of the human body presence information carried in the channel state information, wherein the specific implementation process is the same as that of the above-mentioned second embodiment, and reference may be made to the detailed description of the above-mentioned second embodiment.

[0143] In all usage scenarios of this embodiment, the correlation of the human presence information can be combined to determine whether the human presence information carried in at least two channel state information is information of the same person or different people. If it is information of different people, the rooms where the WiFi transmitting terminals to which at least two channel state information carrying the human presence information belong are located are determined to be the target spaces where the human body is located.

[0144] Optionally, in this embodiment, after determining the target space where the human body is located, the operation modes of electronic devices in other spaces except the target space are adjusted to reduce the power consumption of the electronic devices.

[0145] This embodiment is applied in the whole house intelligent control, and after determining the location of a person, the electronic equipment at the location of the person can be adjusted, such as adjusting to the mode required by the person. And the electronic equipment at the location without people can be adjusted to save energy and reduce the power consumption of the electronic equipment.

[0146] The present invention also provides a WiFi-based human body detection device, which includes a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method described above are implemented.

[0147] Optionally, the human body detection device can be a router, or a whole-house intelligent control device, such as a multi-connected host, or an intelligent robot.

[0148] The present invention also provides a multi-split system, which includes an outdoor unit and at least two indoor units, wherein the indoor units are connected to the outdoor unit, and each of the indoor units is provided with a WiFi module. The multi-split system also includes a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described above are implemented.

[0149] Optionally, in a multi-split application, the indoor unit is the electronic device described in the above embodiments.

[0150] The present invention also provides a home appliance control system, which includes multiple home appliance devices, each of which is equipped with a WiFi module. The home appliance control system also includes: a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described above are implemented.

[0151] Optionally, in a home appliance control system application, the home appliance device is the electronic device described in each of the above embodiments.

[0152] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a human body detection program, and when the human body detection program is executed by a processor, the steps of the WiFi-based human body detection method as described above are implemented.

[0153] It should be noted that the above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A human body detection method based on WiFi, characterized in that: The human body detection method based on WiFi comprises the following steps: Receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information; Determining whether the first channel state information carries human presence information, wherein the channel state information extracted from the WiFi information sent by the electronic device in the first space is the first channel state information, and the first space is the space where the router is located; If the first channel state information carries human body presence information, determining whether the second channel state information carries human body presence information, wherein the space other than the first space is the second space, and the channel state information extracted from the WiFi information sent by the electronic device in the second space is the second channel state information; If the second channel state information carries information about the presence of a human body, the target space where the human body is located is determined according to the signal strengths of the first channel state information and the second channel state information.

2. The WiFi-based human body detection method according to claim 1, characterized in that: The step of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information comprises: When the signal strength of the first channel state information is greater than the signal strength of the second channel state information, determining that the first space is a target space where a human body is located; When the signal strength of the first channel state information is less than the signal strength of the second channel state information, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

3. The WiFi-based human body detection method according to claim 1 or 2, characterized in that: Before the step of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information, the method further includes: If the second channel state information carries human body presence information, determining a correlation between the first channel state information and the human body presence information of the second channel state information; When the correlation is greater than or equal to a preset threshold, performing the step of determining the target space where the human body is located according to the signal strengths of the first channel state information and the second channel state information; When the correlation is less than the preset threshold, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

4. The WiFi-based human body detection method according to claim 1, characterized in that: The WiFi-based human body detection method further includes: If the second channel state information does not carry the human body presence information, determining the first space as the target space where the human body is located; Alternatively, if the first channel state information does not carry human body presence information, but the second channel state information carries human body presence information, then the second space where the WiFi information transmitter to which the second channel state information belongs is located is the target space where the human body is located.

5. The WiFi-based human body detection method according to claim 1, characterized in that: The WiFi-based human body detection method also includes: The operation modes of electronic devices in other spaces except the target space are adjusted to reduce the power consumption of the electronic devices.

6. A human body detection method based on WiFi, characterized in that: The human body detection method based on WiFi comprises the following steps: Receiving WiFi information sent by electronic devices in each space, and extracting channel state information from each WiFi information; Identify whether each channel state information carries human presence information; When at least two of the channel state information carry human body presence information, the target space where the human body is located is determined according to the signal strength of the channel state information carrying the human body presence information.

7. The WiFi-based human body detection method according to claim 6, characterized in that: The step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information comprises: Determine target channel state information that carries the human body presence information and has a strong signal; The space where the WiFi information sending end to which the target channel state information belongs is located is determined as the target space where the human body is located.

8. The WiFi-based human body detection method according to claim 7, characterized in that: The step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information further includes: Determine the correlation between the human presence information carried in at least two of the channel state information; When the correlation is greater than or equal to a preset threshold, performing the step of determining the target channel state information carrying the human body presence information and having a strong signal; When the correlation is less than the preset threshold, the space where the WiFi information sending terminal to which each channel state information carrying the human body presence information belongs is located is determined to be the target space where the human body is located.

9. The WiFi-based human body detection method according to claim 6, characterized in that: The step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information comprises: When at least two of the channel state information carry human presence information, determining whether the space where the WiFi information sending end to which the channel state information carrying the human presence information belongs is located includes the first space, where the first space is the space where the router is located; If yes, determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information; If not, determine that the space where the WiFi information sending end to which each channel state information carrying the human body presence information belongs is located is the target space where the human body is located.

10. The WiFi-based human body detection method according to claim 9, characterized in that: The step of determining the target space where the human body is located according to the signal strength of the channel state information carrying the human body presence information comprises: comparing the signal strengths of the first channel state information and the second channel state information, wherein, in the WiFi information sent by the electronic device in the first space, the channel state information carrying the human body presence information is the first channel state information, the space other than the first space is the second space, and in the WiFi information sent by the electronic device in the second space, the channel state information carrying the human body presence information is the second channel state information; When the signal strength of the first channel state information is greater than the signal strength of the second channel state information, determining that the first space is a target space where a human body is located; When the signal strength of the first channel state information is less than the signal strength of the second channel state information, it is determined that the second space where the WiFi information sending end to which the second channel state information belongs is located is the target space where the human body is located.

11. A human body detection device based on WiFi, characterized in that: The human body detection device includes a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described in any one of claims 1 to 5, or any one of 6 to 10 are implemented.

12. A multi-link system, characterized in that: The multi-split system includes an outdoor unit and at least two indoor units, each of the indoor units is connected to the outdoor unit, and each of the indoor units is provided with a WiFi module. The multi-split system also includes a memory, a processor, and a human body detection program stored in the memory and executable on the processor. When the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described in any one of claims 1 to 5, or any one of 6 to 10 are implemented.

13. A household appliance control system, characterized in that: The home appliance control system includes a plurality of home appliances, each of which is equipped with a WiFi module, and the home appliance control system further includes: A memory, a processor, and a human body detection program stored in the memory and executable on the processor, wherein when the human body detection program is executed by the processor, the steps of the WiFi-based human body detection method as described in any one of claims 1 to 5, or any one of 6 to 10 are implemented.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a human body detection program, and when the human body detection program is executed by a processor, the steps of the WiFi-based human body detection method as described in any one of claims 1 to 5, or any one of claims 6 to 10 are implemented.

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