阅读说明：本技术 空调器及其人体检测模块控制方法和可读存储介质 (Air conditioner, human body detection module control method thereof and readable storage medium ) 是由 梁文潮 郑伟锐 于 2020-06-05 设计创作，主要内容包括：本发明公开了一种人体检测模块控制方法,该方法包括：获取人体的行为状态信息,获取所述人体的位置信息；根据所述行为状态信息和所述位置信息确定发射参数；所述发射参数为人体检测模块发送探测信号的特征参数；根据所述发射参数控制所述人体检测模块发送探测信号。本发明还公开了一种空调器和可读存储介质。本发明旨在提高人体检测模块对不同状态下人体信息的检测精度,从而提高检测到的人体特征信息的精准性。(The invention discloses a human body detection module control method, which comprises the following steps: acquiring behavior state information of a human body, and acquiring position information of the human body; determining a transmission parameter according to the behavior state information and the position information; the transmission parameters are characteristic parameters of detection signals sent by the human body detection module; and controlling the human body detection module to send a detection signal according to the transmission parameter. The invention also discloses an air conditioner and a readable storage medium. The invention aims to improve the detection precision of the human body detection module on human body information in different states, thereby improving the precision of the detected human body characteristic information.)

1. A human body detection module control method is characterized by comprising the following steps:

acquiring behavior state information of a human body, and acquiring position information of the human body;

determining a transmission parameter according to the behavior state information and the position information; the transmission parameters are characteristic parameters of detection signals sent by the human body detection module;

and controlling the human body detection module to send a detection signal according to the transmission parameter.

2. The human detection module control method of claim 1, wherein the step of determining the transmission parameter according to the behavior state information and the location information comprises:

determining a reference transmission parameter corresponding to the behavior state information, and determining an adjustment coefficient of the reference transmission parameter corresponding to the position information;

and adjusting the reference emission parameter by adopting the adjustment coefficient to obtain the emission parameter.

3. The human body detection module control method of claim 2, wherein the step of determining the reference transmission parameter corresponding to the behavior state information comprises:

when the behavior state information is that the human body is in a state of falling asleep, acquiring a first reference emission parameter as the reference emission parameter;

when the behavior state information is that the human body is not in a sleep state, acquiring a second reference emission parameter as the reference emission parameter;

the first reference transmission parameter is greater than the second reference transmission parameter.

4. The human body detection module control method of claim 3, wherein the step of acquiring the behavioral state information of the human body includes:

acquiring the height of the human body;

when the height of the human body is smaller than or equal to a set height, determining the behavior state information as that the human body is in a sleeping state;

and when the height of the human body is greater than the set height, determining the behavior state information as that the human body is not in a sleeping state.

5. The human body detection module control method of claim 3, wherein the step of acquiring the behavioral state information of the human body includes: acquiring the position variation of the human body;

when the position variation is smaller than or equal to a set variation, determining the behavior state information as that the human body is in a state of falling asleep;

and when the position variation is larger than the set variation, determining the behavior state information as that the human body is not in a sleeping state.

6. The human detection module control method of claim 3, wherein the step of acquiring a first reference transmission parameter as the reference transmission parameter comprises:

acquiring the sleep stage of the human body in the sleep state;

and acquiring a first reference transmission parameter corresponding to the sleep stage as the reference transmission parameter.

7. The human body detection module control method according to claim 2, wherein the position information includes a distance of the human body with respect to the human body detection module, and the adjustment coefficient tends to increase as the distance increases.

8. The human body detection module control method according to claim 2, wherein the step of determining the reference transmission parameter corresponding to the behavior state information and determining the adjustment coefficient of the reference transmission parameter corresponding to the position information includes:

acquiring a current operation mode of the air conditioner;

determining the type of information required to be detected by the human body detection module according to the operation mode;

acquiring a parameter range of the reference emission parameter and a coefficient range of the adjustment coefficient according to the type;

the reference transmission parameter is determined within the parameter range, and the adjustment coefficient is determined within the coefficient range.

9. The human body detection module control method according to any one of claims 1 to 8, wherein the human body detection module is a millimeter wave radar sensor, and the step of controlling the human body detection module to transmit the detection signal according to the transmission parameter includes:

and controlling the millimeter wave radar sensor to send electromagnetic waves according to the emission parameters, wherein the wavelength range of the electromagnetic waves is [1mm, 10mm ].

10. The method for controlling the human body detection module according to any one of claims 1 to 8, wherein after the step of controlling the human body detection module to transmit the probe signal according to the transmission parameter, the method further comprises:

receiving an echo signal corresponding to the detection signal;

identifying a characteristic signal corresponding to the human body action amplitude in the echo signal;

when the signal characteristic parameter of the characteristic signal is smaller than or equal to a set threshold value, controlling the human body detection module to increase the emission parameter;

and controlling the human body detection module to send a detection signal according to the increased transmission parameters.

11. An air conditioner, characterized in that the air conditioner comprises:

the human body detection module is used for detecting human body characteristic information; and

a memory, a processor and a human detection module control program stored on the memory and operable on the processor, the processor being connected to the human detection module, the human detection module control program when executed by the processor implementing the steps of the human detection module control method according to any one of claims 1 to 10.

12. The air conditioner according to claim 11, wherein the human body detecting module is a millimeter wave radar sensor.

13. A readable storage medium, characterized in that the readable storage medium has stored thereon a human detection module control program that, when executed by a processor, implements the steps of the human detection module control method according to any one of claims 1 to 10.

Technical Field

The invention relates to the technical field of air conditioners, in particular to a human body detection module control method, an air conditioner and a readable storage medium.

Background

At present, most electrical equipment (for example, an air conditioner) can carry a detection module (such as a radar) for detecting human body information, and the detection is carried out on the position, the behavior, the vital signs and the like of a user so as to be used as the representation of user requirements, be applied to the control of the operation of the electrical equipment and realize the automatic and intelligent operation of the equipment.

However, when most of the existing human body detection modules are used, fixed transmission power is generally adopted to transmit a detection signal. However, the movement of the user in the space can be changed continuously, and the user cannot be fixed in a region to be still, and when the user performs different movements at different positions in the space, the detection precision of the human body detection module is seriously affected due to the fact that the fixed detection signal is not matched with the human body state, and the accuracy of the obtained human body characteristic information is difficult to guarantee.

The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.

Disclosure of Invention

The invention mainly aims to provide a human body detection module control method, aiming at improving the detection precision of human body detection modules on human body information in different states, so as to improve the precision of detected human body characteristic information.

In order to achieve the above object, the present invention provides a human body detection module control method, including the steps of:

acquiring behavior state information of a human body, and acquiring position information of the human body;

determining a transmission parameter according to the behavior state information and the position information; the transmission parameters are characteristic parameters of detection signals sent by the human body detection module;

and controlling the human body detection module to send a detection signal according to the transmission parameter.

Optionally, the step of determining the transmission parameter according to the behavior state information and the location information includes:

determining a reference transmission parameter corresponding to the behavior state information, and determining an adjustment coefficient of the reference transmission parameter corresponding to the position information;

and adjusting the reference emission parameter by adopting the adjustment coefficient to obtain the emission parameter.

Optionally, the step of determining the reference transmission parameter corresponding to the behavior state information includes:

when the behavior state information is that the human body is in a state of falling asleep, acquiring a first reference emission parameter as the reference emission parameter;

when the behavior state information is that the human body is not in a sleep state, acquiring a second reference emission parameter as the reference emission parameter;

the first reference transmission parameter is greater than the second reference transmission parameter.

Optionally, before the step of determining the reference transmission parameter corresponding to the behavior state information, the method further includes:

acquiring the height of the human body;

when the height of the human body is smaller than or equal to a set height, determining the behavior state information as that the human body is in a sleeping state;

and when the height of the human body is greater than the set height, determining the behavior state information as that the human body is not in a sleeping state.

Optionally, before the step of determining the reference transmission parameter corresponding to the behavior state information, the method further includes:

acquiring the position variation of the human body;

when the position variation is smaller than or equal to a set variation, determining the behavior state information as that the human body is in a state of falling asleep;

and when the position variation is larger than the set variation, determining the behavior state information as that the human body is not in a sleeping state.

Optionally, the step of acquiring a first reference transmission parameter as the reference transmission parameter includes:

acquiring the sleep stage of the human body in the sleep state;

and acquiring a first reference transmission parameter corresponding to the sleep stage as the reference transmission parameter.

Optionally, the position information includes a distance of the human body relative to the human body detection module, and the adjustment coefficient increases with the distance.

Optionally, the step of determining a reference transmission parameter corresponding to the behavior state information, and determining an adjustment coefficient of the reference transmission parameter corresponding to the location information includes:

acquiring a current operation mode of the air conditioner;

determining the type of information required to be detected by the human body detection module according to the operation mode;

acquiring a parameter range of the reference emission parameter and a coefficient range of the adjustment coefficient according to the type;

the reference transmission parameter is determined within the parameter range, and the adjustment coefficient is determined within the coefficient range.

Optionally, the human body detection module is a millimeter wave radar sensor, and the step of controlling the human body detection module to send the detection signal according to the transmission parameter includes:

and controlling the millimeter wave radar sensor to send electromagnetic waves according to the emission parameters, wherein the wavelength range of the electromagnetic waves is [1mm, 10mm ].

Optionally, after the step of controlling the human body detection module to send the detection signal according to the transmission parameter, the method further includes:

receiving an echo signal corresponding to the detection signal;

identifying a characteristic signal corresponding to the human body action amplitude in the echo signal;

when the signal characteristic parameter of the characteristic signal is smaller than or equal to a set threshold value, controlling the human body detection module to increase the emission parameter;

and controlling the human body detection module to send a detection signal according to the increased transmission parameters.

Further, in order to achieve the above object, the present application also proposes an air conditioner including:

the human body detection module is used for detecting human body characteristic information; and

the human body detection module control program is stored on the memory and can run on the processor, the processor is connected with the human body detection module, and the human body detection module control program realizes the steps of the human body detection module control method according to any one of the above items when being executed by the processor.

Optionally, the human body detection module is a millimeter wave radar sensor.

Further, in order to achieve the above object, the present application also proposes a readable storage medium having a human body detection module control program stored thereon, which when executed by a processor implements the steps of the human body detection module control method as described in any one of the above.

The invention provides a human body detection module control method, which combines behavior state information and position information of a human body to determine emission parameters corresponding to detection signals sent by a human body detection module, so that the detection signals sent by the human body detection module are not fixed and are adaptive to different positions and behaviors of the human body, the detection signals can be adaptive to human body characteristics of the human body under different conditions, the detection precision of the human body detection module on the human body information under different states is improved, and the precision of the human body characteristic information detected by the human body detection module is improved.

Drawings

FIG. 1 is a schematic diagram of the hardware involved in the operation of an embodiment of the air conditioner of the present invention;

FIG. 2 is a schematic flow chart illustrating a control method of the human body detecting module according to an embodiment of the present invention;

FIG. 3 is a detailed flowchart of step S20 in FIG. 2;

fig. 4 is a flowchart illustrating another embodiment of a human body detection module control method according to the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The main solution of the embodiment of the invention is as follows: acquiring behavior state information of a human body, and acquiring position information of the human body; determining a transmission parameter according to the behavior state information and the position information; the transmission parameters are characteristic parameters of detection signals sent by the human body detection module; and controlling the human body detection module to send a detection signal according to the transmission parameter.

In the prior art, when most of human body detection modules are used, fixed transmission power is generally adopted to transmit detection signals. However, the activity of the user in the space can be changed continuously, the user cannot be fixed in a region and still, and when the user performs different activities at different positions in the space, the detection precision of the human body detection module is seriously affected due to the fact that the fixed detection signal is not matched with the human body state.

The invention provides the solution, and aims to improve the detection precision of the human body detection module on human body information in different states, so that the precision of the detected human body characteristic information is improved.

The embodiment of the invention provides a human body detection device which is applied to detection of information such as human body positions, behaviors and physical signs.

In an embodiment of the present invention, referring to fig. 1, a human body detecting device includes: a processor 1001 (e.g., a CPU), a memory 1002, and a human detection module 1003, etc. The memory 1002 may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). The memory 1002 may alternatively be a storage device separate from the processor 1001.

The memory 1002 and the human body detection module 1003 are both connected to the processor 1001. The human body detection module 1003 is mainly used for acquiring characterization data of human body states such as human body positions, behaviors and physical signs, so that the processor 1001 can analyze the characterization data to obtain state information of the human body such as the human body positions, behaviors and physical signs. The operation process of the human body detection module 1003 is mainly to send a detection signal, the detection signal is emitted in objects such as a human body to form an echo signal, the human body detection module 1003 receives the echo signal, and the echo signal is used as representation data of human body states such as human body positions, behaviors and physical signs. The human body detection module 1003 specifically refers to a sensor such as a radar sensor that detects human body information by transmitting a probe signal and based on an echo signal returned by the probe signal. Specifically, in this embodiment, the human body detection module 1003 is a millimeter wave radar sensor. In other embodiments, the human detection module 1003 may also be other types of radar sensors.

Those skilled in the art will appreciate that the configuration of the device shown in fig. 1 is not intended to be limiting of the device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

As shown in fig. 1, a human body sensing module control program may be included in the memory 1002, which is a kind of readable storage medium. In the apparatus shown in fig. 1, the processor 1001 may be configured to call a human body detection module control program stored in the memory 1002 and perform operations of the relevant steps of the human body detection module control method in the following embodiments.

In addition, an embodiment of the present invention further provides an air conditioner, where the air conditioner includes the human body detection device in the above embodiment, so as to perform human body characteristic information detection according to relevant steps in any embodiment of the following human body detection module control method, and apply the human body characteristic information to air conditioner operation control, thereby ensuring that the air conditioner can automatically and accurately adapt to accurate control of a human body state, and improving user comfort.

The embodiment of the invention also provides a human body detection module control method.

Referring to fig. 2, an embodiment of a human body detection module control method according to the present application is provided. In this embodiment, the human body detection module control method includes:

step S10, acquiring behavior state information of the human body and acquiring position information of the human body;

in the present embodiment, the behavioral state information of the human body includes a state in which the human body has fallen asleep and a state in which the human body has not fallen asleep. In other embodiments, the behavioral state information of the human body may further include a motion state and a rest state.

Here, the behavior state information of the human body is obtained by analyzing data collected by a human body detection module such as a millimeter wave radar sensor. Specifically, the millimeter wave radar sensor can be controlled to send detection signals, echo signals returned based on the detection signals are received, signals related to human body characteristics in the echo signals are extracted, human body characteristic information such as the position, the posture and/or the physical signs of a human body is obtained, and behavior state information is obtained based on analysis of the human body characteristic information. In this embodiment, the step of acquiring the behavioral state information of the human body may include: acquiring the height of a human body, and determining the behavior state information as the state that the human body falls asleep when the height of the human body is less than or equal to a set height; and when the height of the human body is greater than the set height, determining the behavior state information as that the human body is not in a sleeping state. Here, the height of the human body refers to the height of the human body from the highest point of the ground. The set height is specifically a height threshold for distinguishing lying and non-lying postures. The specific value of the set height can be set according to actual conditions. In addition, the step of acquiring the behavioral state information of the human body may further include: acquiring the position variation of the human body; when the position variation is smaller than or equal to a set variation, determining the behavior state information as that the human body is in a state of falling asleep; and when the position variation is larger than the set variation, determining the behavior state information as that the human body is not in a sleeping state. The position variation amount herein specifically refers to characteristic parameters of the human body position variation (such as a variation amplitude, an activity area size corresponding to the position variation, a variation number, and the like). The set variation is specifically a threshold value for distinguishing static and dynamic variations of the human body. The specific value of the set variable quantity can be set according to actual conditions. The height and the position variation of the human body are obtained based on data analysis detected by the millimeter wave radar sensor. In other embodiments, the behavior state information of the human body can be obtained by directly acquiring the state instruction input by the user and analyzing the state instruction.

The position information specifically refers to a parameter representing a position of the human body relative to the human body detection module. Specifically, the position information includes a distance of the human body with respect to the human body detection module. The position information may further include a direction of the human body with respect to the human body detection module, in addition to the distance.

Step S20, determining the transmitting parameter according to the behavior state information and the position information; the transmission parameters are characteristic parameters of detection signals sent by the human body detection module;

the transmission parameter herein specifically refers to a parameter related to the strength of the detection signal sent by the human body detection module. The transmission parameters may specifically include transmission power, transmission intensity, transmission frequency, etc.

Different behavior state information and different position information correspond to different transmission parameters. The corresponding relation among the behavior state information, the position information and the emission parameters is established in advance by taking the detection precision larger than or equal to the set threshold value as a reference. The correspondence may be in the form of a mapping table, a calculation formula, an algorithm model, or the like. Specifically, the human body detection module can make the received echo signal meet the detection signal of the set accuracy condition under different behavior states and different positions of the human body, and the detection signal is used as the detection signal corresponding to each behavior state and position, where the set accuracy condition refers to that the signal intensity of the human body characteristic signal in the echo signal is greater than or equal to the set intensity threshold. Based on the corresponding relation, parameters corresponding to the current behavior state information and the position information can be determined to be used as emission parameters of the detection signals of the current human body detection module.

And step S30, controlling the human body detection module to send a detection signal according to the emission parameters.

For example, when the transmission parameter is transmission power, the signal transmitter in the human body detection module is controlled to transmit the detection signal at the transmission power. In this embodiment, the human body detection module is specifically a millimeter wave radar sensor, and the detection signal is specifically an electromagnetic wave, then step S30 includes: and controlling the millimeter wave radar sensor to send electromagnetic waves according to the emission parameters, wherein the wavelength range of the electromagnetic waves is [1mm, 10mm ]. In other embodiments, when the human body detection module is another type of human body detection module, the detection signal may also be another type of signal.

After the human body detection module sends the detection signal, an echo signal returned based on the sent detection signal is received, and the echo signal is analyzed to obtain characteristic information (such as physical sign information, position information, behavior state information and the like) of the human body.

According to the control method of the human body detection module, the emission parameters corresponding to the detection signals sent by the human body detection module are determined by combining the behavior state information and the position information of the human body, so that the detection signals sent by the human body detection module are not fixed and are adaptive to different positions and behaviors of the human body, the detection signals can be adaptive to human body characteristics of the human body under different conditions, the detection precision of the human body detection module on the human body information under different states is improved, and the precision of the human body characteristic information detected by the human body detection module is improved. Particularly, when the method is applied to the detection of human body sign information in a sleep state, the detection precision is obviously improved. The emission parameters determined by combining the position information and the behavior state information are accurately matched with different human body states, so that the transmitted detection signals cannot be too large on the premise of ensuring higher precision, the energy consumption is reduced, and meanwhile, the undersize cannot be realized, so that the enough high detection precision is ensured, and the effective consideration of energy conservation and detection precision is realized.

Specifically, in this embodiment, referring to fig. 3, step S20 may include:

step S21, determining a reference transmission parameter corresponding to the behavior state information, and determining an adjustment coefficient of the reference transmission parameter corresponding to the position information;

different behavior state information corresponds to different reference transmission parameters. The larger the human body action amplitude corresponding to the behavior state information is, the smaller the corresponding reference emission parameter is. And acquiring the set transmission parameters corresponding to the current behavior state information as the reference transmission parameters.

Specifically, when the behavior state information is that the human body is in a state of falling asleep, a first reference emission parameter is acquired as the reference emission parameter; when the behavior state information is that the human body is not in a sleep state, acquiring a second reference emission parameter as the reference emission parameter; the first reference transmission parameter is greater than the second reference transmission parameter.

Further, since the respiratory characteristics, the motion amplitudes, and the like of the human body at different sleep stages are different, in order to further improve the detection accuracy of the human body detection module on the human body information, the step of acquiring the first reference emission parameter as the reference emission parameter includes: acquiring the sleep stage of the human body in the sleep state; and acquiring a first reference transmission parameter corresponding to the sleep stage as the reference transmission parameter. Specifically, the sleep stages may include a falling sleep stage, a light sleep stage, a deep sleep stage, and the like. Different sleep stages correspond to different first baseline transmission parameters. As the degree of falling asleep increases in the sleep stage, the corresponding first baseline transmission parameter may trend in an increasing manner. For example, the first reference transmit parameter for the falling sleep phase is less than the first reference transmit parameter for the light sleep phase, which is less than the first reference transmit parameter for the deep sleep phase.

Different position information corresponds to different adjustment coefficients. When the position information comprises the distance of the human body relative to the human body detection module, the adjustment coefficient is increased along with the increase of the distance. When the position information includes a deviation angle of the human body with respect to the front of the human body detection module, the adjustment coefficient tends to increase as the deviation angle increases (corresponding to the farther from the front).

And step S22, adjusting the reference emission parameter by using the adjustment coefficient to obtain the emission parameter.

The adjustment mode of the reference transmission parameter by the adjustment coefficient can be configured in advance or can be selected according to the actual situation. The adjustment manner may specifically include decreasing or increasing the reference transmission parameter with the adjustment coefficient as the adjustment magnitude, decreasing or increasing the reference transmission parameter with the adjustment coefficient as the scaling coefficient, and the like.

For example, in the present embodiment, the behavioral state information, the location information and the transmissionThe parameters may have the following relationship: q ═ m × Q_max*(D/D_max) Wherein Q is the transmitting power, m is the state coefficient corresponding to the behavior state information, and the state coefficients corresponding to different behavior state information are different; q_maxMaximum transmitted power, m × Q, for the human body detection module_maxAnd transmitting the parameters for the reference corresponding to the behavior state information. D is the distance of the human body relative to the human body detection module, D_maxIs the maximum detection distance, D/D, of the human body detection module_maxThe adjustment coefficients corresponding to different distances are different. Specifically, the maximum transmission power is 5W, the state coefficient in the sleep state is 1, and the state coefficient in the non-sleep state is 0.5, so that the reference transmission parameter in the sleep state is 5W, and the reference transmission parameter in the non-sleep state is 2.5W; when the maximum detection distance is 5 meters, the distance between the non-sleep state and the sleep state is 3 meters, the adjustment coefficient is 0.5, and based on the adjustment coefficient, when the user switches from the sleep state to the non-sleep state, the transmission parameter is reduced from 3W to 1.5W; when the user switches from the non-sleep state to the sleep state, the transmission parameters are increased from 1.5W to 3W.

In this embodiment, the reference emission parameter corresponding to the behavior state information is adjusted by the adjustment coefficient corresponding to the position information to obtain the emission parameter, so that the determined emission parameter is simultaneously matched with the current position and behavior state of the human body, and the detection accuracy of the human body detection module in different states is ensured. The human body in the falling-asleep state has smaller motion amplitude, the reference emission parameter corresponding to the falling-asleep state is larger than the reference emission parameter corresponding to the falling-asleep state, in addition, the farther the human body detection module is, the more serious the attenuation of the detection signal is, and the adjustment coefficient based on the farther distance is larger than the adjustment coefficient at the closer distance, so that the current state of the human body can form obvious characteristics in the subsequently received echo signals, the accuracy of the human body characteristic information obtained based on the analysis of the echo signals corresponding to the detection signal is ensured, and the detection accuracy of the human body detection module is further improved.

Further, in another embodiment, the step S21 further includes:

step S211, acquiring the current operation mode of the air conditioner;

the air conditioner is specifically an air conditioner which needs to use human body characteristic information for operation control. Specifically, the different operation modes are divided according to different regulation and control requirements of the air conditioner. For example, the operation modes may specifically include a sleep mode, a non-sleep mode, an anti-blowthrough mode, a blowthrough mode, and the like

Step S212, determining the type of the information required to be detected by the human body detection module according to the operation mode;

different operation modes can correspond to different types of human characteristic information to be detected based on different regulation and control requirements. For example, the information types required to be detected in the sleep mode include human body characteristic information and the like, so that the air conditioner can acquire state parameters of a user, such as a sleep stage, somatosensory comfort and the like, based on the human body characteristic information, and realize differentiated air outlet regulation and control suitable for different sleep stages, somatosensory comfort and the like; the information types required to be detected in the non-sleep mode comprise human posture information, so that the air conditioner can acquire state parameters such as the position of a user based on the human characteristic information, and the air conditioner is suitable for differential air outlet regulation and control in different positions and the like.

Step S213, obtaining the parameter range of the reference emission parameter and the coefficient range parameter range coefficient range of the adjustment coefficient according to the type;

specifically, different types of human body characteristic information to be detected correspond to different parameter ranges and coefficient ranges. For example, the parameter ranges and coefficient ranges corresponding to the two types of human body sign information and human body posture information are different. The numerical value in the parameter range corresponding to the human body characteristic information is larger than the numerical value in the parameter range corresponding to the human body posture information, and the numerical value in the coefficient range corresponding to the human body characteristic information is larger than the numerical value in the coefficient range corresponding to the human body posture information.

Step S214, determining the reference transmission parameter in the parameter range, and determining the adjustment coefficient in the second reference transmission parameter coefficient range.

In the parameter range, different behavior state information corresponds to different value intervals, and a parameter is selected from the value intervals corresponding to the current human body behavior state as a reference emission parameter (the parameter selection may be specifically based on the sleep stage mentioned above, or the motion state of the human body, etc.). Within the coefficient range, different distances correspond to different values. And taking the corresponding value of the current distance in the coefficient range as an adjustment coefficient.

Through the steps S211 to S214, it is ensured that no matter what type of human characteristic information the human detection module detects is required for the operation of the air conditioner, the human detection module can be ensured to have higher detection precision, the precision of different types of human characteristic information obtained by detection is effectively improved, and when the detected human characteristic information is applied to the control of the operation of the air conditioner, the precision of regulation and control of the air conditioner is ensured, so that the comfort of a user is improved.

In other embodiments, the adjustment mode of the reference transmission parameter by the adjustment coefficient may also be specifically determined according to the type of the human body information required to be detected by the human body detection module. Different types may correspond to different adjustment modes. For example, when the human body posture needs to be detected currently, the reference emission parameter is adjusted by adopting an adjustment coefficient based on a first adjustment mode; when the human body signs need to be detected currently, the reference emission parameters are adjusted by adopting the adjustment coefficients based on the second adjustment mode. Therefore, the detection precision of the human body detection module can be further improved.

Further, based on the above embodiment, another embodiment of the control method of the human body detection module is provided. In this embodiment, referring to fig. 4, after step S30, the method further includes:

step S40, receiving an echo signal corresponding to the probe signal;

step S50, identifying a characteristic signal corresponding to the human body action amplitude in the echo signal;

when the signal characteristic parameter of the characteristic signal is less than or equal to the set threshold, step S60 is executed.

Step S60, controlling the human body detection module to increase the emission parameter;

and step S70, controlling the human body detection module to send a detection signal according to the increased emission parameters.

The signal characteristic parameter may be signal strength, signal energy, signal amplitude, or the like. When the signal characteristic parameter is less than or equal to the set threshold, the characteristic representing the human body state formed correspondingly in the echo signal is not obvious enough, so that the emission parameter is further increased, and the detection precision of the human body detection module is ensured; when the signal characteristic parameter is larger than the set threshold value, the characteristic representing the human body state is sufficiently obvious in the corresponding formation of the echo signal, and then the current emission parameter can be maintained to carry out human body characteristic information detection.

In this embodiment, the transmission parameters are further corrected through the above method, so that the remarkable characteristics can be formed in the echo signals even if the motion change of a person is small, the accuracy of the transmission parameters is further ensured, the detection precision of the human body detection module is effectively improved, and the accuracy of the detected human body characteristic information is improved.

In addition, an embodiment of the present invention further provides a readable storage medium, where a human body detection module control program is stored on the readable storage medium, and when the human body detection module control program is executed by a processor, the human body detection module control program implements relevant steps of any of the above embodiments of the human body detection module control method.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.