Microwave detection device and detection method for improving human presence detection reliability

Abstract

The application discloses a microwave detection device and method for improving human existence detection reliability. In a first detection mode, the microwave detection device feeds back a first Doppler intermediate frequency signal corresponding to the activity existence characteristics of human movement actions based on a first excitation signal for the excitation of the corresponding microwave detection module, so as to ensure that the corresponding detection result can instantaneously feed back the existence of human body. In a second detection mode, a fluctuation signal is used to feed back the static existence characteristics corresponding to the heartbeat and / or breathing micro-motions of human body, so as to realize the detection of the human body actions including the heartbeat and / or breathing micro-motions of human body. The first excitation signal is a discontinuous signal with a pulse working time less than 1 second and a duty cycle less than 10%, so as to form the equivalent reduction of the moving reflection surface area of the corresponding object, and the environmental micro-motion interference and the environmental interference caused by the penetration characteristics of the microwave can be excluded based on the threshold setting of the first Doppler intermediate frequency signal.

Description

Technical Field

[0001] This invention relates to the field of presence detection, and in particular to microwave detection devices and methods for improving the reliability of human presence detection. Background Technology

[0002] With the development of IoT technology, artificial intelligence, smart homes, and smart security technologies have increasingly higher demands for the accuracy of environmental detection, especially the detection of the presence and behavior of human beings. Only by obtaining sufficiently accurate detection results can we provide accurate judgment basis for smart terminal devices. Among them, microwave detection technology based on the Doppler effect principle, as an important hub connecting people and objects, and objects with each other, has unique advantages in behavior detection and presence detection technologies. It can detect moving objects without infringing on human privacy, such as human motion characteristics, movement characteristics, and micro-motion characteristics, and even human heartbeat and breathing characteristics, thus having broad application prospects.

[0003] To obtain sufficiently reliable detection results, specifically based on the detection of human movements including micro-movements such as heartbeat and / or breathing, the detection results are fed back with feedback on human movements including heartbeat and / or breathing. This is to improve the reliability of the detection results even when the human body is in a static posture, such as sitting or lying prone, by providing feedback on human movements including heartbeat and / or breathing. This achieves accurate detection of the presence or absence of a human body. However, due to the limitations of the frequency and amplitude of human movements including heartbeat and / or breathing, the duration of microwave emission is required to be on the order of seconds or have a duty cycle greater than 10%. Furthermore, to adapt to different human states and postures (such as when the human body is covered by thick clothing or when the human body is facing away from the microwave detection device), the diffraction of the emitted microwaves is required to be high. This results in existing microwave detection devices based on the Doppler effect operating in the ISM band of the C-band and X-band frequency range, either continuously emitting microwaves or intermittently emitting microwaves with pulse durations on the order of seconds or higher than 10% duty cycle in the ISM band of the C-band and X-band frequency range. However, when detecting human movements such as heartbeats and / or respiratory micro-movements (micro-movements) using microwaves in the ISM band of the C-band and X-band frequency range, the relatively low frequency of the corresponding ISM band makes it difficult to guarantee the accuracy of the feedback results for heartbeats and / or respiratory micro-movements. Furthermore, in practical applications, the strong penetrating properties of the emitted microwaves make their wall / glass penetration behavior uncontrollable, easily leading to a mismatch between the actual detection space and the target detection space of existing microwave detection devices. For example, the actual detection space may extend beyond the target detection space. Thus, the detection space may be limited by the target detection space. The actual detection space outside the actual detection space is subject to environmental interference, including motion interference, electromagnetic interference, and self-excitation interference caused by the electromagnetic shielding environment. This interference affects the corresponding detection results and reduces the reliability of the feedback of the corresponding detection results on human actions, including micro-movements such as human heartbeat and / or breathing. Furthermore, due to the need to detect micro-movements such as human heartbeat and / or breathing, environmental micro-movements in the actual detection space will be detected simultaneously. For example, the movement of curtains in the actual detection space will be fed back by the corresponding detection results, further reducing the reliability of the corresponding detection results on human actions, including micro-movements such as human heartbeat and / or breathing.

[0004] Furthermore, due to the requirement for the duration of microwave emission to be on the order of seconds or to have a duty cycle greater than 10%, the operating current of the microwave detection device is between 10 and 50 mA, which is not suitable for battery power. Specifically, taking a 2000mAh battery to power the microwave detection device as an example, when the operating current of the microwave detection device is 25 mA, the microwave detection device will need to be charged or the battery replaced after working for a maximum of 80 hours. However, the microwave detection device is mostly fixed to the ceiling in a vertical detection manner, meaning that the charging frequency or battery replacement frequency of 80 hours / time is too frequent and impractical. Therefore, existing microwave detection devices are designed to be powered by the power grid and are connected to the power grid via wired networking through corresponding lines. However, the wiring of the microwave detection device using a wired network is complex, resulting in high installation costs, such as the cost of the wiring materials and the cost of routing them, especially the cost of concealing the wiring during later installation. In practice, these costs far exceed the cost of the microwave detection device itself. Furthermore, the complex wiring makes maintenance and repair difficult, leading to a significant increase in maintenance and repair costs. In other words, the widespread adoption of the microwave detection device is largely limited by its installation and maintenance costs.

[0005] In other words, to adapt to different human states and postures and to accurately detect the presence or absence of a human body, existing microwave detection devices mostly operate in the ISM band of the C-band and X-band frequency range in a continuous microwave emission mode, or in the ISM band of the C-band and X-band frequency range in an intermittent microwave emission mode with a pulse working time of seconds or higher than 10% duty cycle. The corresponding frequency band limitations make it difficult to guarantee the accuracy of the feedback results on human heartbeat and / or respiratory micro-movements. At the same time, in practical applications, the penetration behavior of the emitted microwaves through walls / glass is uncontrollable due to their strong penetrating characteristics. The corresponding detection results are easily affected by environmental interference outside the target detection space. Furthermore, due to the need to detect human heartbeat and / or respiratory micro-movements, the corresponding detection results are also easily affected by environmental micro-movements in the actual detection space. Therefore, the feedback of existing microwave detection devices on human movements, including human heartbeat and / or respiratory micro-movements, is unreliable in actual use. In addition, the power consumption of the microwave detection devices is also difficult to reduce. Summary of the Invention

[0006] One object of the present invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device is capable of detecting human movements, including micro-movements such as heartbeat and / or breathing, and in practical applications, it can resist environmental interference outside the target detection space and environmental micro-movement interference within the target detection space, so as to ensure the correlation between the corresponding detection results and human movements, including micro-movements such as heartbeat and / or breathing, within the target detection space, thereby achieving accurate detection of the presence or absence of a human body.

[0007] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. Based on the Doppler effect principle, a first Doppler intermediate frequency signal is used to feed back the activity presence characteristics corresponding to human movement, ensuring immediate feedback of the detection results on the presence or absence of the human body. A wave signal is used to feed back the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements. Thus, by detecting the activity presence characteristics corresponding to human movement and the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements respectively, the detection of human movements, including human heartbeat and / or respiratory micro-movements, is achieved.

[0008] Another object of the present invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device is excited by a first excitation signal to emit a first microwave beam corresponding to the frequency of the first excitation signal, and receives a first reflected echo formed by the reflection of the first microwave beam by a corresponding object to generate a corresponding first echo signal. Based on the Doppler effect principle, a first Doppler intermediate frequency (IF) signal corresponding to the frequency or phase difference between the first excitation signal and the first echo signal is generated by frequency mixing detection. The amplitude of the first IF signal is directly related to the energy of the reflected echo formed by the moving object and the frequency or phase difference between the echo signal and the first excitation signal. The amplitude of the first IF signal is proportional to the moving reflective surface area and the moving speed of the corresponding object, and inversely proportional to the distance between the object and the microwave detection device in the detection direction. The amplitude of the first IF signal is proportional to the moving reflective surface area and the moving speed of the corresponding object, and inversely proportional to the distance between the object and the microwave detection device. This is achieved by effectively and significantly reducing the moving reflective surface area of ​​the corresponding object. The influence of the amplitude of the first Doppler intermediate frequency signal is weakened, and the inverse ratio between the amplitude of the first Doppler intermediate frequency signal and the distance between the object and the microwave detection device in the detection direction of the microwave detection device is relatively increased. Therefore, the corresponding threshold setting for the amplitude of the first Doppler intermediate frequency signal mainly corresponds to the definition of the detection distance of the activity presence feature. Furthermore, the attenuation caused by the penetration and reflection behavior of microwaves based on their penetration and reflection characteristics is equivalent to the reduction in detection distance. That is, the activity presence feature of the non-target detection space diffused by the penetration and reflection characteristics of microwaves has a relatively low amplitude in the first Doppler intermediate frequency signal, thereby allowing the corresponding threshold setting based on the amplitude of the first Doppler intermediate frequency signal to be shielded. Therefore, the effective detection space of the microwave detection device for the activity presence feature based on the first Doppler intermediate frequency signal can be accurately defined according to the corresponding threshold setting and matched with the corresponding target detection space, thereby eliminating environmental interference in the non-target detection space, such as the interference of the activity presence feature of the non-target detection space diffused through walls and by reflection / diffuse diffusion based on the penetration and reflection characteristics of microwaves.

[0009] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. By effectively and significantly reducing the reflective surface area of ​​the corresponding object, the amplitude range of the activity presence characteristics corresponding to human movement in the first Doppler intermediate frequency signal is narrowed, and the amplitude corresponding to environmental micro-movements is reduced. This facilitates the elimination of environmental micro-movement interference in the effective detection space based on the amplitude range of the corresponding activity presence characteristics in the first Doppler intermediate frequency signal according to a corresponding threshold setting. In other words, it improves the correlation between the first Doppler intermediate frequency signal and the activity presence characteristics within the target detection space, enabling accurate feedback of the activity presence characteristics corresponding to human movement within the target detection space while eliminating environmental micro-movement interference in the target detection space.

[0010] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. Specifically, by setting the duty cycle of the first excitation signal—specifically, setting the first excitation signal to be an intermittent signal with a pulse duration of less than 1 second and a duty cycle of less than 10%—the microwave detection device can intermittently emit the first microwave beam, resulting in an equivalent reduction in the area of ​​the moving reflective surface of the corresponding object. This facilitates the elimination of environmental micro-motion interference in the effective detection space based on the threshold setting of the first Doppler intermediate frequency signal and the precise definition of the effective detection space for the active presence characteristics. In other words, it resists environmental interference outside the target detection space and environmental micro-motion interference within the target detection space when the effective detection space for the active presence characteristics matches the corresponding target detection space.

[0011] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. By reducing the amplitude of the first excitation signal, the fundamental strength of the first microwave beam is reduced, and the energy of the reflected echo is reduced accordingly. This increases the correlation between the frequency or phase difference between the echo signal and the first excitation signal and the amplitude of the first Doppler intermediate frequency signal. This improves the correlation between the first Doppler intermediate frequency signal and the activity presence characteristics within the target detection space, thereby eliminating environmental micro-motion interference in the target detection space and accurately feeding back the activity presence characteristics corresponding to human movement within the target detection space.

[0012] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device is excited by a second excitation signal to emit a second microwave beam corresponding to the frequency of the second excitation signal, and receives a second reflected echo formed by the reflection of the second microwave beam by a corresponding object to generate a corresponding second echo signal. Based on the Doppler effect principle, a second Doppler intermediate frequency (IF) signal corresponding to the frequency or phase difference between the second excitation signal and the second echo signal is generated using a mixing detection method. Furthermore, based on the change in frequency / amplitude of the second Doppler IF signal over time, the second Doppler IF signal is converted into a wave signal, i.e., the wave signal is a signal representing the change in frequency / amplitude of the second Doppler IF signal over time. The amplitude fluctuation of the wave signal corresponds to the fluctuation of the motion speed of the corresponding object over time. When the corresponding object is a human body and the wave signal represents human movement... A fluctuation in the amplitude of the wave signal corresponds to an action in which the relative velocity of the human body approaches zero. That is, the frequency of the fluctuation in the amplitude of the wave signal corresponds to the frequency of the corresponding action. Thus, when a specific frequency range of the wave signal is selected through filtering to correspond to the human body action within that specific frequency range, specifically when the specific frequency range is less than 50Hz, the specific frequency range is at an extremely low frequency of electromagnetic silence. High-magnification of the wave signal within the specific frequency range will not affect the accuracy of the wave signal within that specific frequency range. This allows the fluctuations in the wave signal corresponding to the static presence characteristics of the human body within the specific frequency range to be identified through high-magnification. Therefore, based on the selection of the specific frequency range, independent and accurate detection of static presence characteristics corresponding to micro-movements such as heartbeat and / or breathing can be achieved to eliminate environmental interference in the effective detection space.

[0013] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. Under the same distance constraint, the amplitude of the corresponding wave signal is directly related to the amplitude of human movement. Since micro-movements such as heartbeat and / or respiration have a narrow amplitude span, the amplitude of the corresponding wave signal also has a narrow amplitude span. Therefore, the corresponding threshold setting for the amplitude of the wave signal mainly corresponds to the definition of the detection distance for static presence features. Furthermore, the attenuation caused by the penetration and reflection behavior of microwaves based on their penetration and reflection characteristics is equivalent to a reduction in the detection distance. That is, the static presence features in the non-target detection space spread by the penetration and reflection characteristics of microwaves are... The wave signal has a relatively low fluctuation amplitude, which allows the corresponding threshold setting based on the amplitude of the wave signal to be shielded. Therefore, the effective detection space of the microwave detection device for static existence characteristics based on the extremely low frequency wave signal can be accurately defined according to the corresponding threshold setting and matched with the corresponding target detection space, thereby eliminating environmental interference from non-target detection spaces, such as environmental interference from non-target detection spaces caused by the penetration and reflection characteristics of microwaves through walls and reflection / diffuse diffusion. That is, it improves the correlation between the wave signal and the static existence characteristics in the target detection space and can accurately feed back the static existence characteristics in the target detection space corresponding to the micro-movements of human heartbeat and / or breathing.

[0014] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. Based on the Doppler effect principle, the first Doppler intermediate frequency signal independently feeds back activity characteristics corresponding to human movement, and the wave signal independently feeds back static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements. Thus, under the constraint that the first and second excitation signals are in the same ISM band within the C-band and X-band frequency ranges, by setting the duty cycle of the first excitation signal, converting the second Doppler intermediate frequency signal, and selecting the wave signal within the specific frequency range, while retaining the diffraction requirement of the second microwave beam for the microwave detection device, the interference of the first and second microwave beams' strong penetration characteristics (wall / glass penetration behavior) on the corresponding detection results can be suppressed. This ensures the correlation between the corresponding detection results and human movements, including human heartbeat and / or respiratory micro-movements, within the target detection space, thereby achieving accurate detection of the presence or absence of a human body.

[0015] Another object of the present invention is to provide a microwave detection device and detection method that improves the reliability of human presence detection. Based on the duty cycle setting of the first excitation signal, the conversion of the second Doppler intermediate frequency signal, and the selection of the wave signal within the specific frequency range, the first Doppler intermediate frequency signal independently feeds back activity features corresponding to human movement, and the wave signal independently feeds back static presence features corresponding to human heartbeat and / or respiratory micro-movements. The correlation between the first Doppler intermediate frequency signal and the activity features within the target detection space, and the correlation between the wave signal and the static presence features within the target detection space, can be respectively enhanced, thereby improving the reliability of detecting the presence or absence of a human body.

[0016] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. The method allows for the simultaneous determination of the human's behavioral state within the target detection area based on corresponding judgment rules, considering both the detection of human activity and static presence characteristics. This facilitates the intelligent application of the microwave detection device.

[0017] Another object of the present invention is to provide a microwave detection device and detection method that improves the reliability of human presence detection. Based on the aforementioned duty cycle setting of the first excitation signal, or by reducing the amplitude of the first excitation signal, such as reducing the amplitude of the first excitation signal in a continuous signal state, or reducing the amplitude of the first excitation signal in a discontinuous signal state (not limited to the discontinuous signal state satisfying the aforementioned duty cycle setting), the detection power consumption of the microwave detection device based on the activity presence characteristics of the target detection space using the first Doppler intermediate frequency signal is reduced, thereby reducing the total power consumption of the microwave detection device. Specifically, when a processor module outputs the first excitation signal and the second excitation signal, it is characterized by the processor module independently outputting the first excitation signal, with the power supply current of the processor module being I1, and the processor module independently outputting the second excitation signal, with the power supply current of the processor module being I2, where I1:I2≤1:2, and preferably satisfying I1:I2≤1:10.

[0018] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. Since the entry or exit of a human body into a corresponding target detection area inevitably constitutes a human movement, after the detection result of the activity presence feature corresponding to the human movement changes from presence to absence, the static presence feature corresponding to the human heartbeat and / or respiratory micro-movements is further detected to achieve accurate detection of the presence or absence of a human body. Simultaneously, this method helps to reduce the detection frequency of static presence features corresponding to the human heartbeat and / or respiratory micro-movements in practical applications, thereby reducing the average power consumption of the microwave detection device.

[0019] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device, based on the state of whether a human is present in a target detection area and the state of a human being present in the target detection area, determines the behavioral state of the human being in the target detection area. It then controls the operating state of at least one electrical device to form the microwave detection device, thereby intelligently controlling the scenario mode of the electrical device based on the determination of the human's behavioral state in the target detection area.

[0020] Another object of the present invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device has a first detection mode and a second detection mode. In the first detection mode, the microwave detection device uses a first Doppler intermediate frequency signal to feedback the activity presence characteristics corresponding to human movement, thereby reducing the power consumption requirements of the microwave detection device and ensuring the immediate feedback of the detection results on the presence or absence of the human body. In the second detection mode, the microwave detection device uses the wave signal to feedback the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements, thereby ensuring accurate detection of the presence or absence of the human body.

[0021] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. Since the entry or exit of a human body into a corresponding detection area inevitably results in human movement, after the microwave detection device detects activity in the target detection area based on the first detection mode until the target detection area no longer exhibits activity within a continuous time period t1, the human body entering the target detection area is either in a static state or has left the target detection area. The microwave detection device activates the second detection mode at least once after the first detection mode detects activity in the target detection area until the target detection area no longer exhibits activity within a continuous time period t1. In the second detection mode, a detection result indicating the target detection area has static activity corresponds to the human body entering the target detection area being in a static state, and a detection result indicating the target detection area does not have static activity corresponds to the human body entering the target detection area being in a state of leaving the target detection area. This reduces the average power consumption of the microwave detection device and ensures the accuracy of the detection results.

[0022] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. When the microwave detection device detects activity characteristics in a target detection area based on a first detection mode, it corresponds to a human being in an active state / entering the target detection area. Subsequently, when the microwave detection device detects no activity characteristics in the target detection area within a continuous time period t1 based on the first detection mode, the microwave detection device, based on a second detection mode, determines whether a human being is in a static state in the target detection area based on the detection result of the presence of static characteristics, and whether a human being who entered the target detection area is in a state of leaving the target detection area based on the detection result of the absence of static characteristics. This reduces the average power consumption of the microwave detection device and ensures the accuracy of the detection results. Furthermore, the intelligent judgment of the human's behavior in the target detection area based on the detection results of whether a human is present or not, and the state of a human being detected in the target detection area, enables the control of the scene mode of the electrical equipment.

[0023] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device operates in a first detection mode after being powered on. When the microwave detection device detects activity characteristics in a target detection area based on the first detection mode, it triggers a timing event for duration t1. Within duration t1, the timing is extended due to a continuation condition formed by the detection results indicating activity characteristics in the target detection area (including, but not limited to, resetting the timing for duration t1 with the current time point as the starting point, and restarting the timing for duration t1 with a time point after duration t1 as the starting point). After the timing for duration t1 ends (corresponding to no continuation condition formed by the detection results indicating no activity characteristics in the target detection area within the extended duration t1), the second detection mode is activated at least once. This reduces the average power consumption of the microwave detection device and ensures the accuracy of the detection results.

[0024] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. In the first detection mode, the microwave detection device, based on the Doppler effect principle, uses a first microwave beam with a pulse duration of less than 1 second and a duty cycle of less than 10% to detect human activity within a target detection area. Based on corresponding threshold settings, a detection result indicating the presence of activity characteristics in the target detection area is obtained. The device also achieves a low-power state with an operating current of less than 1mA in the first detection mode. In the second detection mode, the microwave detection device, based on the Doppler effect principle, uses a second microwave beam in a continuous emission state, or a second microwave beam with a pulse duration greater than or equal to 1 second or a duty cycle greater than or equal to 10%, to detect human activity within the target detection area, including micro-movements such as heartbeat and / or breathing. Based on corresponding threshold settings, a detection result indicating the presence of static characteristics in the target detection area is obtained, thereby ensuring accurate detection of the presence or absence of a human body.

[0025] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. In a first detection mode, the microwave detection device uses a first microwave beam with a pulse duration of less than 1 second and a duty cycle of less than 10% based on the Doppler effect principle to detect human activity within a target detection area. Based on corresponding threshold settings, the detection result indicating the presence of activity characteristics in the target detection area is obtained. Based on the corresponding pulse duration and duty cycle settings, the sensitivity of the first Doppler intermediate frequency signal to weak movements is reduced, while the correlation between the activity characteristics and human movement is increased. This helps to reduce the interference of environmental movements on the detection results of activity characteristics and improve the accuracy of detecting activity characteristics corresponding to human movement in the first detection mode, thereby improving the reliability of the microwave detection device.

[0026] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. In the second detection mode, the microwave detection device uses the wave signal to feed back static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements. Under the same distance constraint, the amplitude of the wave signal is directly related to the amplitude of human movement. Since human heartbeat and / or respiratory micro-movements have a narrow amplitude span, the amplitude of the corresponding wave signal also has a narrow amplitude span. Therefore, the corresponding threshold setting for the amplitude of the multiple wave signals mainly corresponds to the definition of the detection distance of the static presence characteristics. Furthermore, the attenuation caused by the penetration and reflection behavior of microwaves based on their penetration and reflection characteristics is equivalent to a reduction in the effective detection distance. That is, static presence characteristics in non-target detection spaces spread by the penetration and reflection characteristics of microwaves are not within the effective detection space and cannot be detected. Therefore, the detection range of the microwave detection device for static presence characteristics in the second detection mode can be accurately defined according to the corresponding threshold setting, thereby eliminating the interference of static presence characteristics in non-target detection spaces.

[0027] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device detects active presence characteristics in a first detection mode using a first microwave beam with a pulse duration of less than 1 second and a duty cycle of less than 10% based on the Doppler effect principle. In a second detection mode, it detects static presence characteristics using a second microwave beam with a pulse duration of greater than or equal to 1 second or a duty cycle of greater than or equal to 10%. The activation rules based on the second detection mode not only compensate for the deficiency in the first detection mode, which cannot detect static presence characteristics and is prone to misjudging the presence or absence of a human body, but also help reduce the average power consumption of the microwave detection device. Furthermore, while achieving accurate detection of the presence or absence of a human body, it allows for the judgment of the human body's behavioral state in the target detection area based on the detection of active and static presence characteristics according to corresponding judgment rules.

[0028] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. After the timing of duration t1 ends (corresponding to the fact that the detection result based on the absence of activity characteristics in the target detection area during the extended duration t1 does not form a condition for the extension of duration t1), the timing is t2, and the second detection mode is activated at least once during duration t2. After the timing of duration t2 ends, the second detection mode is deactivated, or the second detection mode is deactivated during duration t2 based on the detection result of static presence characteristics in the target detection area. Based on this cyclic logic, the average power consumption of the microwave detection device is reduced, and accurate detection of the presence or absence of a human body is achieved. Simultaneously, it allows for the determination of the human body's behavioral state in the target detection area based on the detection of both activity and static presence characteristics according to corresponding judgment rules.

[0029] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. In this method, when the second detection mode is activated, the first detection mode is maintained. After the microwave detection device obtains a detection result indicating the presence of activity in the target detection area based on the first detection mode, it returns to timing for duration t1. Preferably, it ends timing for duration t2 and closes the second detection mode. That is, in the loop logic of the microwave detection device, the detection result indicating the presence of activity in the target detection area has a higher priority than the detection result indicating the presence of static characteristics in the target detection area. Correspondingly, at any given time, after the microwave detection device obtains a detection result indicating the presence of activity in the target detection area based on the first detection mode, it returns to timing for duration t1. This avoids misjudging the behavior of a human leaving the target detection area during the timing of duration t2 as a static presence in the target detection area, thereby ensuring the accuracy of the detection results of the microwave detection device and further reducing the average power consumption of the microwave detection device.

[0030] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection, wherein the timing of duration t2 is delayed, that is, the timing of duration t2 is delayed after the timing of duration t1 ends. By delaying the timing of duration t2, the frequent triggering of the timing of duration t2 by the brief static state of the human body in the target detection area is avoided, thereby avoiding frequent triggering of the second detection mode and further reducing the average power consumption of the microwave detection device. It also maintains duration t1 at an appropriate length to ensure the accuracy of the feedback of the microwave detection device on the human behavioral state based on the first detection mode.

[0031] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device controls the operating state of at least one of the electrical devices based on the determination of whether a human is present in the target detection area. For example, it controls a lamp to be in an illuminated state based on the determination of whether a human is present in the target detection area and controls the lamp to be in an off state based on the determination of whether a human is not present in the target detection area, thereby achieving intelligent control of the electrical devices based on the determination of whether a human is present in the target detection area.

[0032] Another objective of this invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device further controls the operating state of the electrical equipment based on the judgment of the human's behavioral state in the target detection area. For example, based on the judgment that the human is present in the target detection area in a static state, or in an active state, or enters the target detection area in an active state, the device adjusts environmental parameters such as ambient light, humidity, and temperature to control the corresponding electrical equipment, thereby achieving intelligent control of the electrical equipment.

[0033] Another objective of this invention is to provide a microwave detection device and method adapted to improve the reliability of human presence detection. The microwave detection device includes a wireless module, which controls the operating state of an electrical device based on the determination of the presence or absence of a human body in a target detection area. This allows the microwave detection device to be wirelessly networked with corresponding electrical devices or other microwave detection devices, thereby simplifying the installation, maintenance, and repair of the microwave detection device, and enabling intelligent application scenarios for the microwave detection device.

[0034] Another object of the present invention is to provide a microwave detection device and method for improving the reliability of human presence detection. The microwave detection device operates in a first detection mode after being powered on. When the microwave detection device obtains a detection result indicating the presence of activity characteristics in a target detection area based on the first detection mode, it determines that a human body has entered / is present in the target detection area in an active state. Subsequently, when the microwave detection device obtains a detection result indicating that the activity characteristics are not present in the target detection area for a continuous duration t1, it triggers a timing for duration t2 and activates the second detection mode at least once within duration t2. The microwave detection device determines that a human body is present in the target detection area in a static state based on the detection result indicating the presence of static characteristics in the target detection area, and determines that a human body entering the target detection area is in a state of leaving the target detection area based on the detection result indicating the absence of static characteristics in the target detection area. The second detection mode is deactivated after the timing for duration t2 ends, or deactivated within duration t2 based on the detection result indicating the presence of a human body in the target detection area. This facilitates reducing the average operating current of the microwave detection device to the microampere level, thereby making the microwave detection device suitable for battery power.

[0035] Another objective of this invention is to provide a microwave detection device and method that improves the reliability of human presence detection. The microwave detection device is adapted to battery power and can achieve wireless networking through battery power, which simplifies the installation and maintenance of the microwave detection device and reduces its installation and maintenance costs, thereby promoting its widespread adoption.

[0036] According to one aspect of the present invention, a microwave detection device is provided, the microwave detection device having a first detection mode and a second detection mode, and adapted to detect activity features corresponding to human movement in the first detection mode, and to detect static features corresponding to human heartbeat and / or respiratory micro-movements in the second detection mode, wherein the microwave detection device is configured to trigger timing for a duration t1 based on the detection result of the acquisition of activity features, extend the timing for t1 within the duration t1 based on the detection result of the acquisition of activity features, and control the start of the second detection mode based on the end of the timing for t1, wherein the microwave detection device includes:

[0037] A first microwave detection module, wherein in the first detection mode, the first microwave detection module is fed by a first excitation signal to emit a microwave beam corresponding to the frequency of the first excitation signal, wherein the first excitation signal is set to be an intermittent signal with a pulse working time of less than 1 second and a duty cycle of less than 10%.

[0038] A second microwave detection module, wherein in the second detection mode, the second detection module is fed by a second excitation signal to emit a microwave beam corresponding to the frequency of the second excitation signal, wherein the second excitation signal is set to a continuous signal, or an intermittent signal with a pulse duration greater than or equal to 1 second or a duty cycle greater than or equal to 10%; and

[0039] A processor module, wherein the processor module is communicatively connected to the first microwave detection module and the second microwave detection module, and is configured to trigger a timeout of t1 based on the detection result of the acquisition of activity presence characteristics, extend the timeout of t1 based on the acquisition of activity presence characteristics within the timeout of t1, and activate the second detection mode by controlling the activation of the second microwave detection module based on the end of the timeout of t1.

[0040] In one embodiment, the processor module is configured to count to a duration of t2 after the duration of t1 ends, and to activate the second microwave detection module at least once during the duration of t2.

[0041] In one embodiment, during the timing of duration t2, the first microwave detection module is kept running, wherein the processor module is set to have a higher priority for the timing trigger action of duration t1 than for the timing action of duration t2, that is, the detection result of obtaining the presence of active features has a higher priority than the detection result of obtaining the presence of static features. Correspondingly, during the timing of duration t2, the processor module ends the timing of duration t2 and triggers the timing of duration t1 based on the detection result of obtaining the presence of active features.

[0042] In one embodiment, the processor module is configured to shut down the second microwave detection module based on the end of a timeout of t2.

[0043] In one embodiment, the duration t2 is set to be less than or equal to 1 minute, and the duration t1 is set to be greater than or equal to 5 seconds.

[0044] In one embodiment, the processor module is configured to shut down the second microwave detection module by ending the timing of t2 based on the detection result of the presence of static features during the timing process of t2.

[0045] In one embodiment, the processor module is configured to extend the duration of t2 by forming a condition for extending the duration of t2 based on the detection result of detecting the existence of static features during the timing process of t2.

[0046] In one embodiment, the processor module is configured to delay and reset the timing of t2 based on the detection result of the detection of the presence of static features during the timing process of t2, thereby forming a continuation of the timing of t2 and intermittent startup of the second microwave detection module.

[0047] In one embodiment, the processor module is configured to identify, based on the detection of activity presence features corresponding to human movement, a behavior state S1 in which the human body enters the detection area in an active state or a behavior state S2 in which the human body exists in the detection area in an active state.

[0048] In one embodiment, the processor module is configured to identify the human body leaving the detection area as a behavioral state S3 based on the detection of static presence features corresponding to human heartbeat and / or breathing micro-movements.

[0049] In one embodiment, the processor module is configured to identify a behavior state S4 existing in a static state in the detection area based on the detection of static presence features corresponding to micro-movements such as human heartbeat and / or breathing.

[0050] In one embodiment, the processor module is set to a pre-state of the human body leaving the detection area behavior state S3, and based on the detection of the activity presence characteristics corresponding to the human body's movement, the human body enters the detection area in an active state behavior state S1 according to the detection results of the obtained activity presence characteristics.

[0051] In one embodiment, the processor module is set to a pre-state of behavior state S4 in which the human body exists in a static state in the detection area. Based on the detection of activity presence features corresponding to human body movement, the processor module identifies behavior state S2 in which the human body exists in an active state in the detection area based on the detection result of the acquisition of activity presence features, and maintains the identification of behavior state S4 in which the human body exists in a static state in the detection area based on the detection result of the failure to acquire activity presence features.

[0052] According to another aspect of the present invention, the present invention also provides a microwave detection device having a first detection mode and a second detection mode, and adapted to detect activity features corresponding to human movement in the first detection mode, and to detect static features corresponding to human heartbeat and / or respiratory micro-movements in the second detection mode, wherein the microwave detection device is configured to trigger timing for a duration t1 based on the detection result of the acquisition of activity features, extend the timing for the duration t1 within the duration t1 based on the detection result of the acquisition of activity features, and control the start of the second detection mode based on the end of the timing for the duration t1, wherein the microwave detection device includes:

[0053] A microwave detection module, wherein the microwave detection module is configured to be fed to emit a microwave beam corresponding to a corresponding excitation signal; and

[0054] A processor module, wherein the processor module is communicatively connected to the microwave detection module and is configured to power the microwave detection module with a first excitation signal in a first detection mode and with a second excitation signal in a second detection mode, wherein the first excitation signal is configured as an intermittent signal with a pulse working time of less than 1 second and a duty cycle of less than 10%, and the second excitation signal is configured as a continuous signal, or an intermittent signal with a pulse working time of greater than or equal to 1 second or a duty cycle of greater than or equal to 10%, wherein the processor module is further configured to trigger a timing of t1 based on the detection result of the acquisition of activity presence characteristics, and to extend the timing of t1 based on the acquisition of activity presence characteristics within t1, and to start the second detection mode by outputting the second excitation signal upon the end of the timing of t1.

[0055] In one embodiment, the processor module is configured to count to a duration of t2 after the duration of t1 ends, and to output the second excitation signal at least once during the duration of t2 to switch to the second detection mode.

[0056] In one embodiment, the processor module is configured to switch back to the first detection mode by outputting the first excitation signal based on the end of the timing of t2.

[0057] In one embodiment, the duration t2 is set to be less than or equal to 1 minute, and the duration t1 is set to be greater than or equal to 5 seconds.

[0058] In one embodiment, the processor module is configured to switch back to the first detection mode during the timing of t2 based on the detection result of the presence of static features.

[0059] In one embodiment, the processor module is configured to extend the duration of t2 by forming a condition for extending the duration of t2 based on the detection result of detecting the existence of static features during the timing process of t2.

[0060] In one embodiment, the processor module is configured to delay and reset the timing of t2 based on the detection result of the detection of the presence of static features during the timing process of t2, thereby forming a continuation of the timing of t2 and intermittent start of the second microwave detection mode.

[0061] In one embodiment, during the timing of duration t2, the first microwave detection module is kept running, and the processor module simultaneously outputs the first excitation signal and the second excitation signal. The second excitation signal is set as an intermittent signal with a pulse working time greater than or equal to 1 second or a duty cycle greater than 10%, and is set to be staggered from the pulse working time of the first excitation signal, so as to detect the presence of activity features simultaneously during the timing of duration t2.

[0062] In one embodiment, wherein in the second detection mode, the microwave detection device performs the following steps for the separate detection of activity features corresponding to human movement and static features corresponding to human heartbeat and / or respiratory micro-movements:

[0063] (i) Transmitting a second microwave beam corresponding to the frequency of the second excitation signal;

[0064] (ii) Receive the second reflected echo formed by the second microwave beam being reflected by the corresponding object and generate a corresponding second echo signal;

[0065] (iii) A second Doppler intermediate frequency signal is generated based on the frequency / phase difference between the second excitation signal and the second echo signal by means of frequency mixing detection;

[0066] (iv) Based on the time-varying frequency / amplitude variation of the second Doppler intermediate frequency signal, the second Doppler intermediate frequency signal is converted into a wave signal, i.e., the wave signal is the time-varying frequency / amplitude variation signal of the second Doppler intermediate frequency signal; and

[0067] (v) Select two waves of the wave signal in two specific frequency ranges from the wave signal by filtering, wherein one of the specific frequency ranges is in a frequency range of less than or equal to 3 Hz, and the other of the specific frequency ranges is in a frequency range of greater than 3 Hz and less than 50 Hz.

[0068] The processor module is configured to acquire detection results of active presence characteristics based on corresponding threshold settings for the fluctuation signal in the specific frequency range within a frequency range greater than 3Hz and less than 50Hz, and to acquire detection results of static presence characteristics based on corresponding threshold settings for the fluctuation signal in the specific frequency range within a frequency range less than or equal to 3Hz. This corresponds to acquiring detection results of active presence characteristics when fluctuations exist in the fluctuation signal in the specific frequency range within a frequency range greater than 3Hz and less than 50Hz based on the corresponding threshold settings, and acquiring detection results of static presence characteristics when fluctuations exist in the fluctuation signal in the specific frequency range within a frequency range less than or equal to 3Hz based on the corresponding threshold settings.

[0069] In one embodiment, wherein in the second detection mode, the microwave detection device performs separate detection of active and static presence features, comprising the following steps:

[0070] (i) Transmitting a second microwave beam corresponding to the frequency of the second excitation signal;

[0071] (ii) Receive the second reflected echo formed by the second microwave beam being reflected by the corresponding object and generate a corresponding second echo signal;

[0072] (iii) Two second Doppler intermediate frequency signals are generated based on the frequency / phase difference between the second excitation signal and the second echo signal by means of frequency mixing detection;

[0073] (iv) Based on the time-varying frequency / amplitude variation of one of the second Doppler intermediate frequency signals, the second Doppler intermediate frequency signal is converted into a fluctuating signal, i.e., the fluctuating signal is the time-varying frequency / amplitude variation signal of the second Doppler intermediate frequency signal; and

[0074] (v) Selecting a specific frequency range of the wave signal in a filtered manner, wherein the specific frequency range is within a frequency range of less than 50 Hz, that is, the set of the specific frequency ranges is a subset of the set of frequency ranges of less than 50 Hz.

[0075] The processor module is configured to acquire detection results of static presence characteristics based on a corresponding threshold setting for the fluctuation signal within the specific frequency range, and to acquire detection results of active presence characteristics based on a corresponding threshold setting for another second Doppler intermediate frequency signal. This corresponds to acquiring detection results of static presence characteristics when fluctuations are present in the fluctuation signal within the specific frequency range based on the corresponding threshold setting, and acquiring detection results of active presence characteristics when fluctuations are present in another second Doppler intermediate frequency signal based on the corresponding threshold setting.

[0076] In one embodiment, the processor module is configured to have a higher priority for timing triggering actions for duration t1 than for timing actions for duration t2. That is, the detection result of obtaining the presence of active features has a higher priority than the detection result of obtaining the presence of static features. Correspondingly, during the timing process of duration t2, the processor module ends the timing of duration t2 based on the detection result of obtaining the presence of active features, switches back to the first detection mode, and triggers the timing of duration t1.

[0077] In one embodiment, the processor module is configured to identify a human body in an active state entering the detection area (S1) or a human body in an active state existing in the detection area (S2) based on the detection results of the active presence characteristics obtained.

[0078] In one embodiment, the processor module is configured to identify the human body leaving the detection area as a behavioral state S3 based on the detection of static presence features corresponding to human heartbeat and / or breathing micro-movements.

[0079] In one embodiment, the processor module is configured to identify a behavioral state S4 existing in the detection area in a static state based on the detection of static presence features corresponding to micro-movements such as human heartbeat and / or breathing.

[0080] In one embodiment, the processor module is set to a pre-state of the human body leaving the detection area behavior state S3, and based on the detection of the activity presence characteristics corresponding to the human body's movement, the human body enters the detection area in an active state behavior state S1 according to the detection results of the obtained activity presence characteristics.

[0081] In one embodiment, the processor module is set to a pre-state of behavior state S4 in which the human body exists in a static state in the detection area. Based on the detection of activity presence features corresponding to human body movement, the processor module identifies behavior state S2 in which the human body exists in an active state in the detection area based on the detection result of the acquisition of activity presence features, and maintains the identification of behavior state S4 in which the human body exists in a static state in the detection area based on the detection result of the failure to acquire activity presence features.

[0082] According to another aspect of the present invention, the present invention also provides a microwave detection device having a first detection mode and a second detection mode, and is adapted to detect activity features corresponding to human movement in the first detection mode, and to detect static features corresponding to human heartbeat and / or respiratory micro-movements in the second detection mode. In the first detection mode, the microwave detection device is excited by a first excitation signal to emit a first microwave beam corresponding to the frequency of the first excitation signal, and receives a first reflected echo formed by the reflection of the first microwave beam by a corresponding object to generate a corresponding first echo signal. Based on the Doppler effect principle, a first Doppler intermediate frequency signal corresponding to the frequency or phase difference between the first excitation signal and the first echo signal is generated by frequency mixing detection. The detection result of the activity feature is obtained based on a corresponding threshold setting of the first Doppler intermediate frequency signal. The detection result of the activity feature is obtained when the first Doppler intermediate frequency signal fluctuates based on the corresponding threshold setting. The first excitation signal is set as an intermittent signal with a pulse working time of less than 1 second and a duty cycle of less than 10%. In the second detection mode... The microwave detection device is excited by a second excitation signal to emit a second microwave beam corresponding to the frequency of the second excitation signal, and receives a second reflected echo formed by the second microwave beam reflected by a corresponding object to generate a corresponding second echo signal. Based on the Doppler effect principle, it generates a second Doppler intermediate frequency signal corresponding to the frequency or phase difference between the second excitation signal and the second echo signal by frequency mixing detection. Based on the change of frequency / amplitude of the second Doppler intermediate frequency signal over time, it converts the second Doppler intermediate frequency signal into a wave signal. It selects a wave signal of a specific frequency range in the wave signal by filtering. The specific frequency range is within the frequency range of less than 50 Hz, that is, the set of the specific frequency range is a subset of the set of frequency ranges of less than 50 Hz. Based on the corresponding threshold setting of the wave signal of the specific frequency range, it obtains the detection result of the static presence feature. When the wave signal of the specific frequency range has fluctuations based on the corresponding threshold setting, the detection result of the presence of static presence feature is obtained. The second excitation signal and the first excitation signal are in the same ISM band in the C-band and X-band frequency ranges.

[0083] In one embodiment, the microwave detection device includes a first microwave detection module, a second microwave detection module, and a processor module. In the first detection mode, the first microwave detection module is fed by the first excitation signal to emit a first microwave beam corresponding to the frequency of the first excitation signal. In the second detection mode, the second detection module is fed by the second excitation signal to emit a second microwave beam corresponding to the frequency of the second excitation signal. The processor module is communicatively connected to the first microwave detection module and the second microwave detection module, and is configured to feed the first microwave detection module with the first excitation signal in the first detection mode and to feed the second microwave detection module with the second excitation signal in the second detection mode.

[0084] In one embodiment, the microwave detection device includes a microwave detection module and a processor module, wherein the processor module is communicatively connected to the microwave detection module and is configured to power the microwave detection module with the first excitation signal in a first detection mode and with the second excitation signal in a second detection mode.

[0085] In one embodiment, the first excitation signal and the second excitation signal are in the 5.8 GHz ISM band.

[0086] In one embodiment, the specific frequency range is set to a frequency range of less than or equal to 5 Hz.

[0087] In one embodiment, the specific frequency range is set to a frequency range of less than or equal to 1 Hz.

[0088] In one embodiment, the first excitation signal is configured as an intermittent signal with a pulse duration of microseconds or less and a duty cycle of less than 1%.

[0089] In one embodiment, the second excitation signal is set as an intermittent signal with a pulse working time greater than or equal to 1 second or a duty cycle greater than or equal to 10%.

[0090] In one embodiment, the microwave detection device operates simultaneously in the first detection mode and the second detection mode when powered on, and is configured to control the operating state of at least one electrical device based on the detection results of active presence characteristics and static presence characteristics.

[0091] In one embodiment, at least one of the electrical devices is implemented as a UV germicidal lamp, wherein the microwave detection device is configured to control the UV germicidal lamp to turn off based on either a detection result indicating the presence of an active feature or a detection result indicating the presence of a static feature.

[0092] In one embodiment, the microwave detection device is configured to control the UV germicidal lamp to turn on only after a detection result indicating that no active feature or static feature has been detected.

[0093] In one embodiment, the microwave detection device is configured to allow the UV germicidal lamp to be turned on in a switch-controlled manner only after a detection result indicating that no active presence feature and no static presence feature has been detected.

[0094] According to another aspect of the present invention, the present invention also provides a microwave detection method, the microwave detection method comprising the following steps:

[0095] (A) Based on a first detection mode, microwaves with a pulse working time of less than 1 second and a duty cycle of less than 10% are used to detect human activity, so as to form a detection of the activity existence characteristics corresponding to human movement in the first detection mode.

[0096] (B) The duration t1 is determined by the detection results based on the existence characteristics of the activity, and the duration t1 is extended by the conditions for the extension of the duration t1 formed by the detection results based on the existence characteristics of the activity within the duration t1.

[0097] (C) After the timing of t1 ends, at least once, a second detection mode is activated, and in the second detection mode, microwaves in a continuous transmission state or microwaves with a pulse working time of greater than or equal to 1 second or a duty cycle of greater than or equal to 10% are used to detect human activities corresponding to human heartbeat and / or breathing, so as to form a detection of static presence characteristics corresponding to human heartbeat and / or breathing; and

[0098] (D) Turn off the second detection mode.

[0099] In one embodiment, in step (B), the timing of the duration t1 is reset based on the detection result of the detected activity features within the duration t1, with the current time node as the starting point, to form a continuation of the duration t1.

[0100] In one embodiment, in step (B), the duration of t1 is extended by re-timing the time from the time point after t1, based on the detection result of the detected activity characteristics.

[0101] In one embodiment, in step (C), the second detection mode is started based on the end delay of the timing of t1, and during the delay, when the detection result of the presence of activity characteristics corresponding to human movement is obtained based on the first detection mode, the timing of t1 is triggered and the process returns to step (B).

[0102] In one embodiment, in step (B), the duration t1 is set to be greater than or equal to 5 seconds.

[0103] In one embodiment, the detection of static presence features corresponding to micro-movements such as heartbeat and / or breathing based on the second detection mode in step (C) includes the following steps:

[0104] (C1) Transmits a second microwave beam corresponding to a second excitation signal frequency;

[0105] (C2) Receives the second reflected echo formed by the reflection of the second microwave beam by the corresponding object and generates a corresponding second echo signal;

[0106] (C3) A second Doppler intermediate frequency signal is generated based on the frequency / phase difference between the second excitation signal and the second echo signal by means of frequency mixing detection;

[0107] (C4) Based on the change in frequency / amplitude of the second Doppler intermediate frequency signal over time, the Doppler intermediate frequency signal is converted into a wave signal, that is, the wave signal is the change in frequency / amplitude of the second Doppler intermediate frequency signal over time; and

[0108] (C5) Select a specific frequency range of the wave signal in the wave signal by means of filtering, wherein the specific frequency range is within the frequency range of less than 50 Hz, that is, the set of the specific frequency range is a subset of the set of frequency ranges of less than 50 Hz.

[0109] In one embodiment, in step (C5), the specific frequency range is set to be within a frequency range of less than or equal to 5 Hz.

[0110] In one embodiment, in step (C1), the second excitation signal is set to a signal with a pulse working time duty cycle greater than 10%.

[0111] In one embodiment, in step (C), a time period of t2 is counted after the time period of t1 ends, and the second detection mode is activated at least once during the time period of t2.

[0112] In one embodiment, the second detection mode is turned off based on the end of the timing of t2.

[0113] In one embodiment, in step (D), the second detection mode is turned off by ending the timing of t2 based on the detection result of detecting the presence of static features during the timing process of t2.

[0114] In one embodiment, while step (C) is being executed, step (A) is maintained, wherein in step (C), during the timing process of duration t2, based on the execution of step (A), the timing for duration t2 ends and the timing for duration t1 is triggered after the detection result of the presence of activity characteristics is detected, and the process returns to step (B).

[0115] In one embodiment, in step (C), the duration t2 is set to be less than or equal to 1 minute.

[0116] In one embodiment, in step (D), the second detection mode is turned off based on the detection result that no static presence feature corresponding to human heartbeat and / or respiratory micro-movements is detected.

[0117] In one embodiment, in step (C), after the timing of duration t1 ends, duration t2 is timed, and the second detection mode is activated within duration t2, and duration t2 is extended by forming a condition for extending duration t2 based on the detection result of detecting the existence of static features within duration t2.

[0118] In one embodiment, in step (C), the timing of the second detection mode is reset after a delay based on the detection result of the detection of the presence of static features within the duration of t2, thereby extending the duration of t2 and intermittently starting the second detection mode.

[0119] In one embodiment, step (B) further includes the step of:

[0120] (B1) Control the operating status of at least one electrical device based on the detection results of the activity characteristics in the detection area.

[0121] In one embodiment, step (C) further includes the step of controlling the operating state of the electrical equipment based on the detection result that no static presence feature was detected.

[0122] In one embodiment, step (C) further includes the step of controlling the operating state of the electrical equipment based on the detection result of detecting the presence of static features.

[0123] In one embodiment, in step (B), the behavior state S1 of a human body entering the detection area in an active state or the behavior state S2 of a human body existing in the detection area in an active state is determined based on the detection result of detecting the presence of activity characteristics.

[0124] In one embodiment, in step (C), the behavior state S3 of the human body leaving the detection area is determined based on the detection result that no static presence feature is detected, and the behavior state S4 of the human body existing in the detection area in a static state is determined based on the detection result that a static presence feature is detected.

[0125] In one embodiment, in step (B), before the human body leaves the detection area (S3), the human body enters the detection area in an active state (S1) based on the detection result indicating that the detection area has activity characteristics. Before the human body exists in the detection area in a static state (S4), the human body exists in the detection area in an active state (S2) based on the detection result indicating that the detection area has activity characteristics. And before the human body exists in the detection area in a static state (S4), the human body exists in the detection area in a static state (S4) is maintained. Attached Figure Description

[0126] Figure 1 This is a schematic block diagram of a microwave detection device according to an embodiment of the present invention.

[0127] Figure 2 This is a schematic diagram of the working logic of the microwave detection device according to an optimized embodiment of the above-described embodiments of the present invention.

[0128] Figure 3 This is a schematic block diagram of the microwave detection device according to the above-described optimized embodiment of the present invention.

[0129] Figure 4A This is a schematic diagram of the working logic of the microwave detection device according to the above-described optimized embodiment of the present invention.

[0130] Figure 4B This is a partial working logic diagram of the microwave detection device according to the above-described optimized embodiment of the present invention.

[0131] Figure 5 This is a schematic diagram illustrating the logic of the microwave detection device for judging human behavior state according to the above-described optimized embodiment of the present invention.

[0132] Figure 6 This is a schematic diagram illustrating the application of the microwave detection device according to the above-described optimized embodiment of the present invention.

[0133] Figure 7AThis is a schematic structural block diagram of the microwave detection device according to a modified embodiment of the above-described optimized embodiment of the present invention.

[0134] Figure 7B This is a schematic diagram of the working logic of the microwave detection device according to the above-described modified embodiment of the present invention.

[0135] Figure 7C This is a partial working logic diagram of the microwave detection device according to the above-described modified embodiment of the present invention.

[0136] Figure 7D This is a partial working logic diagram of the microwave detection device according to another modified embodiment of the above-described optimized embodiment of the present invention. Detailed Implementation

[0137] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.

[0138] Those skilled in the art should understand that, in the disclosure of this invention, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the above terms should not be construed as limiting this invention.

[0139] It is understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple, and the term "a" should not be understood as a limitation on the number.

[0140] Referring to the accompanying drawings of this invention Figure 1As shown, the working logic of a microwave detection device according to an embodiment of the present invention is illustrated. The microwave detection device has a first detection mode and a second detection mode. In the first detection mode, the microwave detection device obtains the detection result of whether a human body is present or not based on the independent detection of activity presence characteristics corresponding to human movement. In the second detection mode, the microwave detection device obtains the detection result of whether a human body is present or not based on the independent detection of static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements. This enables the detection of human movements, including human heartbeat and / or respiratory micro-movements, and ensures accurate detection of whether a human body is present or not.

[0141] Specifically, the microwave detection device provides real-time feedback on the presence or absence of a human body by using a first Doppler intermediate frequency signal to feed back the activity characteristics corresponding to human movement in the first detection mode, and by using a wave signal to feed back the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements in the second detection mode. In this way, the detection of human body movements, including human heartbeat and / or respiratory micro-movements, is achieved by detecting the activity characteristics corresponding to human movement and the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements, respectively.

[0142] Further, in the first detection mode, the microwave detection device is excited by a first excitation signal to emit a first microwave beam corresponding to the frequency of the first excitation signal, and receives a first reflected echo formed by the reflection of the first microwave beam by a corresponding object to generate a corresponding first echo signal. Based on the Doppler effect principle, a first Doppler intermediate frequency signal corresponding to the frequency or phase difference between the first excitation signal and the first echo signal is generated by frequency mixing detection. The amplitude of the first Doppler intermediate frequency signal is directly related to the energy of the reflected echo formed by the moving object and the frequency or phase difference between the echo signal and the first excitation signal. The amplitude of the first Doppler intermediate frequency signal is proportional to the moving reflective surface area and the moving speed of the corresponding object, and inversely proportional to the distance between the object and the microwave detection device in the detection direction. By effectively and significantly reducing the moving reflective surface area of ​​the corresponding object, the change in the moving reflective surface area and the moving speed of the corresponding object has a greater impact on the amplitude of the first Doppler intermediate frequency signal. The intensity is weakened, and the inverse ratio between the amplitude of the first Doppler intermediate frequency signal and the distance between the object and the microwave detection device in the detection direction of the microwave detection device is relatively increased. Therefore, the corresponding threshold setting for the amplitude of the first Doppler intermediate frequency signal mainly corresponds to the definition of the detection distance of the activity presence feature. Furthermore, the attenuation caused by the penetration and reflection behavior of microwaves based on their penetration and reflection characteristics is equivalent to the reduction in detection distance. That is, the activity presence feature in the non-target detection space diffused by the penetration and reflection characteristics of microwaves has a relatively low amplitude in the first Doppler intermediate frequency signal, thereby allowing the corresponding threshold setting based on the amplitude of the first Doppler intermediate frequency signal to be shielded. Therefore, the effective detection space of the microwave detection device for the activity presence feature based on the first Doppler intermediate frequency signal can be accurately defined according to the corresponding threshold setting and matched with the corresponding target detection space, thereby eliminating environmental interference in the non-target detection space, such as the interference of the activity presence feature in the non-target detection space diffused through walls and by reflection / diffuse diffusion based on the penetration and reflection characteristics of microwaves.

[0143] Furthermore, by effectively reducing the surface area of ​​the moving reflection surface of the corresponding object, the amplitude range of the activity presence characteristics corresponding to human movement in the first Doppler intermediate frequency signal is narrowed and the amplitude corresponding to environmental micro-movements is reduced. This facilitates the elimination of environmental micro-movement interference in the effective detection space based on the amplitude range of the corresponding activity presence characteristics in the first Doppler intermediate frequency signal according to the corresponding threshold setting. In other words, it improves the correlation between the first Doppler intermediate frequency signal and the activity presence characteristics in the target detection space, and can accurately feed back the activity presence characteristics corresponding to human movement in the target detection space, thereby eliminating environmental micro-movement interference in the target detection space.

[0144] Specifically, by setting the duty cycle of the first excitation signal, specifically setting the first excitation signal to be an intermittent signal with a pulse working time of less than 1 second and a duty cycle of less than 10%, the microwave detection device forms an intermittent emission of the first microwave beam, resulting in an equivalent reduction of the motion reflection surface area of ​​the corresponding object. This is beneficial for eliminating environmental micro-motion interference in the effective detection space based on the threshold setting of the first Doppler intermediate frequency signal and forming a precise definition of the effective detection space for the presence of activity characteristics. That is, in a state where the effective detection space for the presence of activity characteristics matches the corresponding target detection space, it resists environmental interference outside the target detection space and environmental micro-motion interference in the target detection space.

[0145] It is worth mentioning that by reducing the amplitude of the first excitation signal, such as reducing the amplitude of the first excitation signal in a continuous signal state, or reducing the amplitude of the first excitation signal in a discontinuous signal state (not limited to the discontinuous signal state that meets the above duty cycle setting), the fundamental intensity of the first microwave beam is reduced, and the energy of the reflected echo is reduced accordingly. Then, the correlation between the frequency or phase difference between the echo signal and the first excitation signal and the amplitude of the first Doppler intermediate frequency signal is improved. This helps to improve the correlation between the first Doppler intermediate frequency signal and the activity presence characteristics in the target detection space, thereby eliminating environmental micro-motion interference in the target detection space and accurately feeding back the activity presence characteristics corresponding to human movement in the target detection space.

[0146] Further, in the second detection mode, the microwave detection device is excited by a second excitation signal to emit a second microwave beam corresponding to the frequency of the second excitation signal, and receives a second reflected echo formed by the reflection of the second microwave beam by a corresponding object to generate a corresponding second echo signal. Based on the Doppler effect principle, a second Doppler intermediate frequency signal corresponding to the frequency or phase difference between the second excitation signal and the second echo signal is generated by frequency mixing detection. The second Doppler intermediate frequency signal is converted into a wave signal based on the change in frequency / amplitude of the second Doppler intermediate frequency signal over time. That is, the wave signal is a signal showing the change in frequency / amplitude of the second Doppler intermediate frequency signal over time. The amplitude fluctuation of the wave signal corresponds to the fluctuation of the motion speed of the corresponding object over time. When the corresponding object is a human body and the wave signal represents human movement, one amplitude fluctuation of the wave signal corresponds to the initial and final phases of the human body. For an action with a velocity approaching zero, i.e., the frequency of the fluctuation in amplitude of the wave signal corresponds to the frequency of the corresponding action, when a specific frequency range of the wave signal is selected through filtering to correspond to the human body action within that specific frequency range, specifically when the specific frequency range is less than 50Hz, the specific frequency range is at an extremely low frequency of electromagnetic silence, and the wave signal corresponding to the specific frequency range is an extremely low frequency signal. Therefore, high-magnification of the wave signal within the specific frequency range will not affect the accuracy of the wave signal within that specific frequency range. This allows the fluctuations in the wave signal corresponding to the static presence characteristics of the human body within the specific frequency range to be identified through high-magnification, thereby enabling independent and accurate detection of static presence characteristics corresponding to micro-movements such as heartbeat and / or breathing based on the selection of the specific frequency range, while eliminating environmental interference in the effective detection space.

[0147] It is worth mentioning that, under the same distance constraint, the amplitude of the corresponding wave signal is directly related to the amplitude of human movement. Since micro-movements such as heartbeat and / or breathing have a narrow amplitude span, the amplitude of the corresponding wave signal also has a narrow amplitude span. Therefore, the corresponding threshold setting for the amplitude of the wave signal mainly corresponds to the definition of the detection distance of static features. Furthermore, the attenuation caused by the penetration and reflection behavior of microwaves based on their penetration and reflection characteristics is equivalent to a reduction in detection distance. That is, the static features of non-target detection space spread by the penetration and reflection characteristics of microwaves have a relatively low fluctuation amplitude in the wave signal. This allows the corresponding threshold setting based on the amplitude of the wave signal to be shielded. Therefore, the effective detection space of the microwave detection device for static existence characteristics based on the extremely low frequency wave signal can be accurately defined according to the corresponding threshold setting and matched with the corresponding target detection space, thereby eliminating environmental interference from non-target detection spaces, such as environmental interference from non-target detection spaces caused by the penetration and reflection characteristics of microwaves through walls and reflection / diffuse diffusion. In other words, it improves the correlation between the wave signal and the static existence characteristics in the target detection space and can accurately feed back the static existence characteristics in the target detection space corresponding to human heartbeat and / or breathing micro-movements.

[0148] In other words, the microwave detection device, based on the Doppler effect principle, independently feeds back the activity characteristics corresponding to human movement using the first Doppler intermediate frequency signal in the first detection mode, and independently feeds back the static characteristics corresponding to human heartbeat and / or respiratory micro-movements using the wave signal in the second detection mode. This ensures that the first and second excitation signals are frequency-limited due to existing technological limitations and to avoid interference. Specifically, if the first and second excitation signals are in the same ISM band within the C-band and X-band frequency ranges (e.g., 5.8 GHz ISM), this satisfies the requirement for the second microwave... The beam's diffraction capability is adapted to different human states and postures (such as a human being obscured by thick clothing or facing away from the microwave detection device) to detect static presence features. Simultaneously, by setting the duty cycle of the first excitation signal, converting the second Doppler intermediate frequency signal, and selecting the fluctuation signal within the specific frequency range, interference from the wall / glass penetration behavior of the first and second microwave beams, based on their strong penetration characteristics, on the corresponding detection results is suppressed. This ensures the correlation between the corresponding detection results and human movements within the target detection space, including micro-movements such as heartbeat and / or breathing, thereby achieving accurate detection of the presence or absence of a human body.

[0149] It is understood that the narrower the specific frequency range, the fewer environmental actions with frequencies within that range, and the lower the probability of interference from those environmental actions on the wave signal. Therefore, to further improve the correlation between the wave signal within the specific frequency range and human heartbeat and / or respiratory micro-movements, and to ensure the accuracy of the feedback of the wave signal within the specific frequency range on vital signs corresponding to human heartbeat and / or respiratory micro-movements, the specific frequency range is preferably set to an extremely low frequency range of less than 1 Hz. Since the frequency of human respiratory movements is generally less than or equal to 1 Hz, i.e., less than once per second, the wave frequency in the wave signal corresponding to human respiratory movements is less than or equal to 1 Hz. Therefore, by setting the specific frequency... By narrowing the specific frequency range to an extremely low frequency range of less than or equal to 1 Hz, the probability of environmental interference with the wave signal is reduced due to fewer environmental actions with a frequency of less than or equal to 1 Hz. This increases the correlation between the wave signal in the specific frequency range and human respiratory micro-movements. Furthermore, since the amplitude of human respiratory movements is much higher than that of human heartbeats, the amplitude of the wave signal in the specific frequency range is ensured. Thus, while increasing the correlation between the wave signal in the specific frequency range and human respiratory micro-movements, the intensity of the wave signal is also ensured, thereby improving the accuracy of the feedback of the wave signal in the specific frequency range on vital signs corresponding to human respiratory micro-movements.

[0150] Therefore, based on the duty cycle setting of the first excitation signal, the conversion of the second Doppler intermediate frequency signal, and the selection of the fluctuation signal within the specific frequency range, the first Doppler intermediate frequency signal independently feeds back the activity presence characteristics corresponding to human movement, and the fluctuation signal independently feeds back the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements. The correlation between the first Doppler intermediate frequency signal and the activity presence characteristics within the target detection space, and the correlation between the fluctuation signal and the static presence characteristics within the target detection space, can be respectively enhanced, thereby improving the reliability of detecting the presence or absence of a human body.

[0151] Furthermore, when a human body is present in the target detection area, the detection of both the human body's activity and static characteristics based on the corresponding judgment rules can simultaneously determine the human body's behavioral state in the target detection area, thereby facilitating the intelligent application of the microwave detection device.

[0152] Specifically, in this embodiment of the invention, the microwave detection device includes a first microwave detection module 20, a second microwave detection module 30, and a processor module 10. In the first detection mode, the first microwave detection module 20 is fed by the first excitation signal to emit a microwave beam corresponding to the frequency of the first excitation signal, wherein the first excitation signal is set to an intermittent signal with a pulse duration of less than 1 second and a duty cycle of less than 10%. In the second detection mode, the second detection module is fed by the second excitation signal to emit a microwave beam corresponding to the frequency of the second excitation signal, wherein the second excitation signal is set to a continuous signal, or an intermittent signal with a pulse duration greater than or equal to 1 second or a duty cycle greater than or equal to 10%. In this embodiment, the processor module 10 is communicatively connected to the first microwave detection module 20 and the second microwave detection module 30 to output the first excitation signal and the second excitation signal to the first microwave detection module 20 and the second microwave detection module 30, respectively. The mixing and detection processing of the first excitation signal and the first echo signal is handled by the processor module 10 or the first microwave detection module 20. This invention is not limited in this respect. Similarly, the mixing and detection processing of the second excitation signal and the second echo signal, the conversion processing of the second Doppler intermediate frequency signal, and the frequency selection processing of the wave signal are handled by the processor module 10 and / or the second microwave detection module 30. This invention is not limited in this respect.

[0153] It is worth mentioning that, based on the low-frequency characteristics of the human heartbeat and / or respiratory micro-movements, the specific frequency range is in an extremely low frequency range of less than 50Hz. For example, the frequency of human respiratory movements is generally less than 1Hz, that is, less than one breath per second. Therefore, the fluctuation frequency in the fluctuation signal corresponding to human respiratory movements is less than 1Hz. In other words, the fluctuation signal in the specific frequency range is an extremely low-frequency signal. When identifying the fluctuation frequency in the amplitude of the fluctuation signal, there is a delay. Therefore, the feedback of the fluctuation signal to the static presence characteristics corresponding to human heartbeat and / or respiratory micro-movements is delayed and cannot be used for the real-time control of corresponding electrical equipment based on the corresponding detection results, such as the real-time shut-off control of UV germicidal lamps based on the entry of a human into the target detection area. In other words, the feedback of the fluctuation signal to human heartbeat and / or respiratory micro-movements can independently and accurately indicate whether a human is in the target detection area. At the same time, the real-time feedback of the activity presence characteristics based on the first Doppler intermediate frequency signal can ensure the real-time feedback of the presence or absence of a human by the microwave detection device, which is conducive to improving the applicability of the microwave detection device and improving the intelligent control experience.

[0154] Specifically, based on the aforementioned duty cycle setting of the first excitation signal, or by reducing the amplitude of the first excitation signal, the detection power consumption of the microwave detection device based on the activity characteristics of the target detection space by the first Doppler intermediate frequency signal is reduced, which is beneficial to reducing the total power consumption of the microwave detection device. Specifically, when the processor module 30 is independently outputting the first excitation signal, the power supply current of the processor module is I1, and when the processor module is independently outputting the second excitation signal, the power supply current of the processor module is I2, where I1:I2≤1:2, and preferably I1:I2≤1:10. That is, based on the duty cycle and amplitude setting of the first excitation signal, the first excitation signal can be configured as a discontinuous signal with a low duty cycle, or a discontinuous signal with a low duty cycle and intermittent output, or a discontinuous or continuous signal with a low amplitude value, corresponding to I1:I2≤1:2.

[0155] Furthermore, given that the entry or exit of a human body into the corresponding detection area inevitably results in a human movement, i.e., after the microwave detection device detects the presence of activity in the target detection area based on the first detection mode until the target detection area no longer exhibits activity within a continuous time period t1, the human body entering the target detection area is either in a static state or in a state of leaving the target detection area. To adapt to the real-time control of the corresponding electrical equipment based on the corresponding detection results while simultaneously ensuring accurate detection of the presence or absence of a human body, in a further optimized embodiment of the present invention, corresponding to... Figure 2 The microwave detection device activates the second detection mode at least once, from the detection of activity in the target detection area based on the first detection mode to the absence of activity in the target detection area for a continuous time period t1. In the second detection mode, the detection result of the presence of static features in the target detection area corresponds to the human body entering the target detection area being in a static state, and the detection result of the absence of static features in the target detection area corresponds to the human body entering the target detection area being in a state of leaving the target detection area. This forms an instantaneous response of the microwave detection device to the behavioral state of the human body entering the target detection area and ensures the accuracy of the detection results of the microwave detection device. At the same time, it is beneficial to reduce the detection frequency of static features corresponding to micro-movements such as heartbeat and / or breathing in practical applications, thereby reducing the average power consumption of the microwave detection device.

[0156] In other words, after being powered on, the microwave detection device operates in the first detection mode. When the microwave detection device detects activity in the target detection area based on the first detection mode, the corresponding human body enters the target detection area in an active state. Subsequently, when the microwave detection device detects no activity in the target detection area within a continuous time period t1 based on the first detection mode, the corresponding human body is in a static state in the target detection area based on the detection result of the presence of static features in the target detection area, and the corresponding human body that entered the target detection area is in a state of leaving the target detection area based on the detection result of the absence of static features in the target detection area.

[0157] Specifically, after the microwave detection device obtains a detection result indicating the presence of activity in the target detection area based on the first detection mode, it triggers the processor module 10 to start timing for duration t1. Within duration t1, the detection result indicating the presence of activity in the target detection area forms a condition for extending duration t1, triggering the processor module 10 to extend the timing for duration t1 (including but not limited to resetting the timing for duration t1 with the current time node as the starting point, and restarting the timing for duration t1 with a time node after duration t1 as the starting point). After the processor module 10 finishes timing for duration t1 (corresponding to the extended duration based on the presence of activity in the target detection area),... If the detection results for the absence of activity in the detection area do not form a condition for the continuation of time t1, the second detection mode is activated at least once under the control of the processor module 10. That is, the second detection mode will only be activated when all human beings entering the target detection area leave the target detection area, or when all human beings entering the target detection area remain static for a period of time exceeding t1. Therefore, for general indoor use scenarios, such as offices, conference rooms, bedrooms, etc., the activation scenarios of the second detection mode are limited, thereby reducing the average power consumption of the microwave detection device and ensuring the accuracy of the detection results of the microwave detection device.

[0158] Furthermore, in the first detection mode, the microwave detection device preferably uses a first microwave beam with a pulse working time of microseconds or less and a duty cycle of less than 1% to detect human activity within the target detection area. This is based on a corresponding threshold setting for the first Doppler intermediate frequency signal to obtain a detection result indicating the presence of activity characteristics within the target detection area. This also enables the microwave detection device to operate with a low power consumption of less than 1mA in the first detection mode. In the second detection mode, the microwave detection device uses a second microwave beam in a continuous emission state based on the Doppler effect principle, or preferably a second microwave beam with a pulse working time greater than or equal to 1 second or a duty cycle greater than or equal to 10%, to detect human activity within the target detection area, including micro-movements such as heartbeat and / or breathing. This is based on a corresponding threshold setting for the wave signal to obtain a detection result indicating the presence of static characteristics within the target detection area. This ensures accurate detection of the presence of a human body and further reduces the average power consumption of the microwave detection device.

[0159] Specifically, refer to the accompanying drawings of the specification of this invention. Figures 3 to 4B As shown, the structural block diagram and working logic of the microwave detection device according to the above-described optimized embodiment of the present invention are illustrated respectively. In this optimized embodiment of the present invention, in the first detection mode, the first microwave detection module 20 of the microwave detection device is powered by the first excitation signal, and in the second detection mode, the second microwave detection module 30 of the microwave detection device is powered by the second excitation signal. The second excitation signal is set as a continuous signal, or a discontinuous signal with a pulse working time of seconds or greater than 10% duty cycle, to meet the detection accuracy of the microwave detection device based on the second microwave detection module 30 for static presence features corresponding to human heartbeat and / or respiratory micro-movements. Preferably, the second excitation signal is set as a discontinuous signal with a pulse working time greater than 10% duty cycle, so as to reduce the power consumption of the second microwave detection module 30 while ensuring the detection accuracy of static presence features corresponding to human heartbeat and / or respiratory micro-movements.

[0160] Further, refer to Figure 4B In the second detection mode, the microwave detection device, based on the Doppler effect principle, uses the second microwave beam to detect static features corresponding to micro-movements such as human heartbeat and / or respiration, including the following steps:

[0161] (a) Transmitting the second microwave beam corresponding to the frequency of the second excitation signal;

[0162] (b) Receive the second reflected echo formed by the second microwave beam being reflected by the corresponding object and generate the corresponding second echo signal;

[0163] (c) Generate the second Doppler intermediate frequency signal based on the frequency / phase difference between the second excitation signal and the second echo signal by means of frequency mixing detection;

[0164] (d) Based on the change in frequency / amplitude of the second Doppler intermediate frequency signal over time, the second Doppler intermediate frequency signal is converted into the wave signal, that is, the wave signal is the signal showing the change in frequency / amplitude of the second Doppler intermediate frequency signal over time; and

[0165] (e) Selecting the wave signal within the specific frequency range of the wave signal by filtering, wherein the specific frequency range is within the frequency range of less than 50 Hz, i.e., the set of the specific frequency ranges is a subset of the set of frequency ranges of less than 50 Hz.

[0166] It is understood that in step (c), the frequency of the second Doppler intermediate frequency signal corresponds to the velocity of the corresponding object, and the amplitude of the second Doppler intermediate frequency signal corresponds to the amplitude span of the corresponding object's motion to a certain extent, and also corresponds to the velocity of the corresponding object. Therefore, in step (d), after converting the second Doppler intermediate frequency signal into the wave signal based on the change in frequency / amplitude of the second Doppler intermediate frequency signal over time, the fluctuation in amplitude of the wave signal corresponds to the fluctuation in the velocity of the corresponding object over time. Specifically, when the corresponding object is a human body and the wave signal represents human movement, one fluctuation in amplitude of the wave signal corresponds to the entire movement of the human body. An action with a relative velocity approaching zero, such as a chest expansion caused by human inhalation, means that the frequency of the wave signal corresponds to the frequency of the corresponding action. Thus, in step (e), since the specific frequency range is within the extremely low electromagnetic silence frequency range of less than 50Hz, high-magnification of the wave signal within the specific frequency range will not affect the accuracy of the wave signal within the specific frequency range. Consequently, the wave in the wave signal corresponding to the static presence characteristics of the human body within the specific frequency range can be identified by high-magnification amplification, thereby enabling the detection of static presence characteristics corresponding to micro-movements such as human heartbeat and / or respiration using microwaves.

[0167] In other words, in this optimized embodiment of the present invention, the microwave detection device detects active presence characteristics in the first detection mode using a first microwave beam with a pulse working time of less than 1 second and a duty cycle of less than 10% based on the Doppler effect principle, and detects static presence characteristics in the second detection mode using a second microwave beam in a continuous transmission state based on the Doppler effect principle, or with a pulse working time on the order of seconds or a duty cycle greater than 10%. Based on the activation rules of the second detection mode, the average power consumption of the microwave detection device can be reduced, and the defect of the first detection mode being unable to detect static presence characteristics, which easily leads to misjudgment of the presence or absence of a human body, can be avoided. This enables accurate detection of the presence or absence of a human body, while also utilizing... The first detection mode, by reducing the interference of environmental actions on the detection results of active features due to its inability to detect static features, improves the accuracy of detecting active features corresponding to human movement. The second detection mode, based on converting the second Doppler intermediate frequency signal into the wave signal and selecting a specific frequency range of the wave signal, reduces the interference of environmental actions on static features while also shielding electromagnetic interference, thereby achieving accurate detection of static features. It can also precisely define the detection range of static features based on the corresponding threshold setting of the wave signal, and allows for simultaneous judgment of the human body's behavioral state in the target detection area based on corresponding judgment rules for the detection of both active and static features.

[0168] Specifically, while ensuring the accuracy of the microwave detection device in detecting the presence or absence of a human body, in order to further reduce the average power consumption of the microwave detection device, reference is made to... Figure 4A In this embodiment of the invention, after the timing of duration t1 ends (corresponding to the fact that the detection result based on the absence of activity features in the target detection area during the extended duration t1 does not form a condition for the extension of duration t1), the processor module 10 is triggered to start the timing of duration t2. The second detection mode is controlled by the processor module 10 to be started at least once during duration t2 and turned off after the timing of duration t2 ends, or the detection result based on the presence of static features in the target detection area during duration t2 is turned off. Based on this cyclical working logic, the average power consumption of the microwave detection device is reduced and the accurate detection of the presence or absence of a human body is achieved. At the same time, it allows the behavior state of the human body in the target detection area to be judged simultaneously based on the detection of human activity features and static features according to the corresponding judgment rules.

[0169] Furthermore, when the second detection mode is activated, the first detection mode is maintained. After the microwave detection device obtains a detection result indicating the presence of activity in the target detection area based on the first detection mode, it returns to timing for duration t1 and preferably ends timing for duration t2 to close the second detection mode. That is, in the cyclic operation logic of the microwave detection device, the detection result indicating the presence of activity in the target detection area has a higher priority than the detection result indicating the presence of static characteristics in the target detection area. Correspondingly, at any time period, when the microwave detection device obtains a detection result indicating the presence of activity in the target detection area based on the first detection mode, it returns to timing for duration t1 to avoid the behavior of a human body leaving the target detection area during the timing of duration t2 being misjudged as being in a static state in the target detection area. This ensures the accuracy of the detection results of the microwave detection device and can further reduce the average power consumption of the microwave detection device.

[0170] Specifically, when the microwave detection device is connected to a power source, the processor module 10 is powered and connected to a corresponding power source, such as a battery or mains power. The first microwave detection module 20 is communicatively connected to the processor module 10 and powered and connected to the power source, either directly electrically connected to the power source or powered and connected to the power source via the processor module 10. The second microwave detection module 30 is communicatively connected to the processor module 10 and powered and connected to the power source under the control of the processor module 10. For example, the second microwave detection module 30 and the power source are connected by a switch 11, which is controlled by the on / off state of the switch 11. The switch 11 is, for example, but not limited to, an electronically controlled switch, a relay, a transistor, a MOSFET, and a thyristor. The switch 11 is electrically connected to the processor module 10 and controlled by the processor module 10 to be on / off.

[0171] In other words, after being powered on, the microwave detection device operates in the first detection mode. When the processor module 10, based on a corresponding threshold setting, obtains a detection result indicating the presence of activity in the target detection area using the first microwave detection module 20, the processor module 10 triggers a timer for duration t1 and determines that a human body has entered (existed) the target detection area in an active state. Within duration t1, the processor module 10 extends the timer for duration t1 based on the detection result indicating the presence of activity in the target detection area, and determines that a human body exists in the target detection area in an active state. Subsequently, when the processor module 10, based on a corresponding threshold setting, obtains a detection result indicating the presence of activity in the target detection area using the first microwave detection module 20, it continues the timer for duration t1. When the detection result does not exist in the target detection area within the specified time period, the processor module 10 triggers a time period of t2 and controls the second microwave detection module 30 to start at least once within the time period of t2. The processor module 10 determines that the human body exists in the target detection area in a static state when the second microwave detection module 30 obtains a detection result indicating that the target detection area has static existence characteristics, and determines that the human body entering the target detection area is in a state of leaving the target detection area when the detection result indicates that the target detection area does not have static existence characteristics. The processor module 10 also controls the second microwave detection module 30 to shut down after the time period of t2 ends, or controls the second microwave detection module 30 to shut down within the time period of t2 based on the detection result indicating that the target detection area has static existence characteristics.

[0172] It is worth mentioning that, in the second detection mode, when the processor module 10 obtains a detection result indicating the presence of static characteristics in the target detection area based on the corresponding threshold setting and the second microwave detection module 30, it determines that the human body exists in the target detection area in a static state. After the timeout period t2 ends, the processor module 10 controls the second microwave detection module 30 to shut down, or controls the second microwave detection module 30 to shut down within the timeout period t2 based on the detection result indicating the presence of the human body in the target detection area. Subsequently, when the processor module 10 obtains a detection result indicating the presence of active characteristics in the target detection area based on the corresponding threshold setting and the first microwave detection module 20, it determines that the human body changes from a static state to an active state within the target detection area. Thus, under the above-mentioned cyclical working logic, based on the corresponding judgment rules, the detection of both active and static characteristics of the human body simultaneously determines the human body's behavioral state in the target detection area, such as entering (existing) in the target detection area in an active state, existing in the target detection area in an active state, existing in the target detection area in a static state, changing from a static state to an active state within the target detection area, and leaving the target detection area.

[0173] It is understandable that the first microwave detection module 20, based on the Doppler effect principle, detects the presence of microwave activity with a pulse working time of less than 1 second and a duty cycle of less than 10%. Therefore, the higher the accuracy of the first microwave detection module 20, the less it can reduce the triggering frequency of the processor module 10 for the timing of t2, thereby helping to reduce the average power consumption of the microwave detection device. However, although the first microwave detection module 20 has a low operating current, its detection accuracy cannot meet the requirements for detecting the presence of a human body in a static state. The present invention, by starting and stopping the second detection mode according to the above-mentioned cyclic working logic, can reduce the average power consumption of the microwave detection device while ensuring the stability of the detection results.

[0174] In other words, the microwave detection device detects active presence features in the first detection mode based on the Doppler effect principle with a pulse working time of less than 1 second and a duty cycle of less than 10%, and detects static presence features in the second detection mode based on the Doppler effect principle with a continuously transmitting second microwave beam, or with a pulse working time greater than or equal to 1 second or a duty cycle greater than or equal to 10%. This avoids the defect of the first detection mode being unable to detect static presence features, which could easily lead to misjudgments of the presence or absence of a human body. It also utilizes the defect of the first detection mode being unable to detect static presence features to reduce the interference of environmental actions on the detection results of active presence features, thereby improving the accuracy of detecting active presence features corresponding to human movement. At the same time, based on the start and stop of the second detection mode according to the above-mentioned cyclic working logic, the average power consumption of the microwave detection device can be reduced, and it can achieve accurate detection of the presence or absence of a human body, as well as the state of a human body in the target detection area. It allows for the simultaneous judgment of the human body's behavioral state in the target detection area based on the detection of active presence features and static presence features according to corresponding judgment rules.

[0175] Furthermore, in this optimized embodiment of the present invention, the timing of the processor module 10 for duration t2 can optionally be delayed. That is, after the processor module 10 finishes timing for duration t1, the timing for duration t2 is delayed. By delaying the timing of duration t2, the frequent triggering of the timing of duration t2 by the brief static state and frequent entry and exit behaviors of the human body in the target detection area is avoided. In other words, during the delay period, when the processor module 10 triggers the timing of duration t1 after the first microwave detection module 20 obtains the detection result of the presence of activity characteristics in the target detection area based on the corresponding threshold setting, the frequent triggering of the second detection mode is avoided, thereby further reducing the average power consumption of the microwave detection device and keeping duration t1 at an appropriate length to ensure timely feedback of the human body behavior state by the microwave detection device based on the first detection mode.

[0176] It is worth mentioning that the microwave detection device only triggers the timing of time t2 after the processor module 10, based on the corresponding threshold setting, obtains the detection result of the first microwave detection module 20 from the acquisition of the detection result of the presence of activity characteristics in the target detection area to the acquisition of the detection result of the presence of activity characteristics not existing in the target detection area within a continuous time period t1. That is, the second detection mode will only be activated at time t2 when all the human bodies that entered the target detection area have left the target detection area, or when all the human bodies that entered the target detection area have remained static for more than time period t1. Therefore, lengthening the setting of time t1 is beneficial to avoid frequent triggering of the timing of time t2 and thus to reduce the average power consumption of the microwave detection device. However, setting the time t1 too long is not conducive to the timely feedback of the microwave detection device on the human activity status based on the first detection mode and thus cannot realize real-time control of the corresponding electrical equipment based on the human behavior status. Therefore, in this embodiment of the present invention, time t1 is preferably set to be greater than or equal to 5 seconds, so as to ensure the timely feedback of the microwave detection device on the human behavior status based on the first detection mode and reduce the frequent activation of the second detection mode, thereby reducing the average power consumption of the microwave detection device.

[0177] Furthermore, in this optimized embodiment of the present invention, the t2 duration is preferably set to be less than or equal to 1 minute, so as to reduce the average power consumption of the microwave detection device while ensuring the accuracy of the detection results of the microwave detection device in the second detection mode regarding the presence or absence of a human body in the target detection area. Taking the microwave detection device having an operating current of 100uA in the first detection mode and an operating current of 25mA in the second detection mode as an example, when the t2 duration is set to 10 seconds, even if the activation trigger of the second detection mode is triggered 60 times every 24 hours, the microwave detection device has an average operating current of 273uA. Further, taking a 3000mAh battery as an example, when the microwave detection device is powered by this battery, the microwave detection device can theoretically work for 457 days, thus it does not need to be frequently charged or replaced and is adapted to battery power supply.

[0178] In particular, in this optimized embodiment of the present invention, the microwave detection device controls the working state of at least one electrical device 100 based on the judgment result of whether a human body is present in the target detection area. For example, it controls a lamp to be in an illuminated state based on the judgment result of whether a human body is present in the target detection area, and controls the lamp to be in an off state based on the judgment result of whether a human body is not present in the target detection area, so as to realize intelligent control of the electrical device 100 based on the judgment result of whether a human body is present in the target detection area.

[0179] Furthermore, the microwave detection device also controls the working state of the electrical equipment 100 based on the judgment of the human body's behavior state in the target detection area. For example, based on the human body's behavior state of entering (existing) the target detection area in an active state, existing in the target detection area in an active state, existing in the target detection area in a static state, changing from a static state to an active state existing in the target detection area, and leaving the target detection area, the device controls the corresponding electrical equipment 100 to adjust environmental parameters such as ambient light, humidity, and temperature, thereby realizing intelligent control of the electrical equipment 100.

[0180] It is understood that the electrical equipment 100 can be implemented as one of the following: lamps, air conditioners, fresh air systems, exhaust fans, fans, audio equipment, humidifiers, aroma diffusers, smart curtains, televisions, and electric door locks. The number of the electrical equipment 100 is not limited. Based on the judgment of the human body's behavior state in the target detection area, the combination control of the corresponding working states of different electrical equipment 100 can be realized to achieve intelligent scene control.

[0181] For example, in some embodiments of the present invention, the electrical device 100 is implemented as a UV germicidal lamp, wherein the presence detection control device controls the UV germicidal lamp to turn on based on the behavioral state of a human leaving the target detection area, and controls the UV germicidal lamp to turn off based on the behavioral state of a human entering (being present) the target detection area in an active state, and maintains the UV germicidal lamp in an off state based on the behavioral state of a human being present in the target detection area in an active state and the behavioral state of a human being present in the target detection area in a static state.

[0182] Therefore, in this optimized embodiment of the present invention, the microwave detection device further includes a wireless module 40, wherein when the microwave detection device is powered on, the wireless module 40 is powered and connected to the corresponding power source and communicatively connected to the processor module 10. The microwave detection device controls the working state of the electrical equipment 100 through the wireless module 40 based on the judgment result of the presence or absence of a human body in the target detection area and / or the behavior state, so that the microwave detection device is suitable for wirelessly networking with the corresponding electrical equipment 100 or other microwave detection devices, thereby simplifying the installation, maintenance and repair of the microwave detection device and realizing the intelligent application scenarios of the microwave detection device.

[0183] Specifically, as mentioned above, in the second detection mode, the microwave detection device uses the second microwave detection module 30 based on the Doppler effect principle to detect static features corresponding to micro-movements such as human heartbeat and / or respiration using microwaves with a pulse working time of less than 1 second and a duty cycle of less than 10%. The detection range of the microwave for static features based on the Doppler effect principle can be precisely defined according to the corresponding threshold setting of the wave signal. That is, the detection range of the microwave detection device for static features can be precisely controlled and distinguished from the detection range for active features, allowing for precise control of the detection range of static features and, based on the active features, the detection range can be precisely controlled. The set relationship between the detection range of dynamic existence features and the detection range of static existence features (such as the set relationship where the detection range of static existence features is included in the set relationship of the detection range of dynamic existence features, or the set relationship where the detection range of static existence features tends to overlap with the detection range of dynamic existence features, or the set relationship where the detection range of static existence features intersects with the detection range of dynamic existence features, or the set relationship where the detection range of static existence features does not intersect with the detection range of dynamic existence features), and the detection results of human activity existence features and static existence features, realize the judgment of the location of human body and further refine the judgment of human behavior state, so as to adapt to the intelligent control of different application scenarios.

[0184] For example, such as Figure 6As shown, in some embodiments of the present invention, based on the control of the detection range of active presence features and the detection range of static presence features, the detection range of static presence features is smaller than the detection range of active presence features and is included within the detection range of active presence features. This corresponds to the state in which the microwave detection device is applied to the indoor environment by realizing intelligent control of indoor environmental parameters based on the control of the corresponding electrical equipment 100, such as the state in the indoor environment of bedrooms, living rooms, offices, etc. The detection range of static presence features corresponds to areas where the human body is more likely to be static, such as beds, sofas, and desks. Since the detection range of static presence features is smaller than the detection range of active presence features, the interference of environmental factors in the detection range of active presence features on the detection results of static presence features can be reduced, thereby improving the accuracy of the microwave detection device.

[0185] To further understand the present invention, please refer to the accompanying drawings in the specification of the present invention. Figure 7A and Figure 7B As shown, a structural block diagram and some working logic of the microwave detection device according to a modified embodiment of the above-described optimized embodiment of the present invention are illustrated. Specifically, unlike the microwave detection device of the above-described optimized embodiment, in this modified embodiment of the microwave detection device of the present invention, the first microwave detection module 20 and the second microwave detection module 30 are implemented as the same microwave detection module 50 with microwave transmission and reception functions. The processor module 10 is further configured to power the microwave detection module 50 with a first excitation signal with a pulse working time of less than 1 second and a duty cycle of less than 10% in the first detection mode, and with a continuous second excitation signal or a second excitation signal with a pulse working time of greater than or equal to 1 second or a duty cycle of greater than or equal to 10% in the second detection mode. This corresponds to the microwave detection module 50 transmitting intermittent microwaves with a pulse working time of less than 1 second and a duty cycle of less than 10% in the first detection mode, and transmitting continuous microwaves or intermittent microwaves with a pulse working time of greater than or equal to 1 second or a duty cycle of greater than or equal to 10% in the second detection mode.

[0186] Similarly, after being powered on, the microwave detection device operates in the first detection mode. When the processor module 10 obtains a detection result indicating the presence of activity in the target detection area based on a corresponding threshold setting, the processor module 10 triggers a timer for duration t1 and determines that a human body has entered (existed) the target detection area in an active state. Within duration t1, the processor module 10 extends the timer for duration t1 based on the detection result indicating the presence of activity in the target detection area, and determines that a human body exists in the target detection area in an active state. Subsequently, when the processor module 10 obtains a timer indicating the presence of activity within consecutive durations t1 based on the corresponding threshold setting... When the detection result does not exist in the target detection area, the processor module 10 triggers a timer for duration t2 and switches to the second detection mode at least once within duration t2. In the second detection mode, when the processor module 10 obtains a detection result indicating that the target detection area has static existence characteristics based on the corresponding threshold setting, it determines that the human body exists in the target detection area in a static state. When the detection result indicates that the target detection area does not have static existence characteristics, it determines that the human body that entered the target detection area is in a state of leaving the target detection area. After the timer for duration t2 ends, it switches back to the first detection mode, or switches back to the first detection mode within duration t2 based on the detection result indicating that the target detection area has static existence characteristics.

[0187] Specifically, since the first microwave detection module 20 and the second microwave detection module 30 are implemented as the same microwave detection module 50 with microwave transmission and reception functions, i.e., the microwave detection module 50 is difficult to be simultaneously powered by the first excitation signal and the second excitation signal, preferably, in this modified embodiment of the present invention, in order to further detect activity presence features in the second detection mode, in the second detection mode, the processor module 10 selects the fluctuation signals of different specific frequency ranges to separately detect activity presence features corresponding to human movement and static presence features corresponding to human heartbeat and / or breathing micro-movements. When the processor module 10 obtains the detection result of activity presence features in the target detection area based on the corresponding threshold setting, it switches back to the first detection mode and triggers the timing of t1, so as to avoid the behavior state of the human body leaving the target detection area during the timing of t2 being misjudged as being in a static presence state in the target detection area, thereby ensuring the stability of the detection results of the microwave detection device.

[0188] Specifically, corresponding to Figure 7CIn this modified embodiment of the present invention, in the second detection mode, the microwave detection device performs the following steps for the separate detection of activity features corresponding to human movement and static features corresponding to human heartbeat and / or respiratory micro-movements:

[0189] (i) Transmitting the second microwave beam corresponding to the frequency of the second excitation signal;

[0190] (ii) Receive the second reflected echo formed by the second microwave beam being reflected by the corresponding object and generate a corresponding second echo signal;

[0191] (iii) Generate the second Doppler intermediate frequency signal based on the frequency / phase difference between the second excitation signal and the second echo signal by means of frequency mixing detection;

[0192] (iv) Based on the time-varying frequency / amplitude variation of the second Doppler intermediate frequency signal, the Doppler intermediate frequency signal is converted into the wave signal, i.e., the wave signal is the time-varying frequency / amplitude variation signal of the second Doppler intermediate frequency signal; and

[0193] (v) Select two waves of the wave signal in two specific frequency ranges from the wave signal by means of filtering, wherein one of the specific frequency ranges is in the frequency range of less than or equal to 3Hz, and the other specific frequency range is in the frequency range of greater than 3Hz and less than 50Hz, that is, the set of one of the specific frequency ranges is a subset of the set of frequency ranges of less than or equal to 3Hz, and the set of the other specific frequency range is a subset of the set of frequency ranges of greater than 3Hz and less than 50Hz.

[0194] Thus, based on the fluctuation signal within the specific frequency range of greater than 3Hz and less than 50Hz, a detection result corresponding to the fluctuation is obtained, and a detection result of dynamic presence characteristics is obtained.

[0195] Optionally, corresponding to Figure 7D In some embodiments of the present invention, in the second detection mode, the microwave detection device performs the following steps for the separate detection of activity features corresponding to human movement and static features corresponding to human heartbeat and / or respiratory micro-movements:

[0196] (i) Transmitting at least one microwave beam corresponding to the frequency of the second excitation signal;

[0197] (ii) Receive a reflected echo formed by the microwave beam being reflected by a corresponding object and generate a corresponding echo signal.

[0198] (iii) Two Doppler intermediate frequency signals are generated based on the frequency / phase difference between the second excitation signal and the echo signal using a frequency mixing detection method;

[0199] (iv) Based on the time-varying frequency / amplitude variation of one of the Doppler intermediate frequency signals, wherein one of the Doppler intermediate frequency signals is a fluctuating signal, i.e., the fluctuating signal is the time-varying frequency / amplitude variation signal of the Doppler intermediate frequency signal; and

[0200] (v) Selecting a specific frequency range of the wave signal in a filtered manner, wherein the specific frequency range is within a frequency range of less than 50 Hz, that is, the set of the specific frequency ranges is a subset of the set of frequency ranges of less than 50 Hz.

[0201] Thus, after step (iii), based on the corresponding threshold setting of the other Doppler intermediate frequency signal, the detection result of whether there are activity presence features in the target detection area is obtained, thereby further realizing the detection of activity presence features in the second detection mode.

[0202] Optionally, in other embodiments of the present invention, the processor module 10 is configured to power the microwave detection module 50 with a first excitation signal having a pulse duration of less than 1 second and a duty cycle of less than 10% in the first detection mode, and to power the microwave detection module 50 with a second excitation signal having a pulse duration of greater than or equal to 1 second or a duty cycle of greater than or equal to 10% in the second detection mode, wherein the pulse duration of the second excitation signal is set to be staggered from the pulse duration of the first excitation signal for a duration of t2, so that when the first microwave detection module 20 and the second microwave detection module 30 are implemented as the same microwave detection module 50 having microwave transmission and reception functions, the first detection mode allows the second detection mode to be maintained in operation while the detection activity is present.

[0203] Specifically, in some embodiments of the present invention, the microwave detection device operates simultaneously in the first detection mode and the second detection mode when powered on, and is configured to control the operating state of at least one electrical device based on the detection results of active presence characteristics and static presence characteristics. For example, when at least one of the electrical devices is implemented as a UV germicidal lamp, the microwave detection device is configured to control the UV germicidal lamp to turn off based on either the detection result of detecting active presence characteristics or the detection result of detecting static presence characteristics, and to control the UV germicidal lamp to turn on only after no detection result of active presence characteristics and no detection result of static presence characteristics, or to control the UV germicidal lamp to be in a state that allows it to be turned on by a switch control.

[0204] In other embodiments of the present invention, the microwave detection device operates in the first detection mode when powered on, and is configured to trigger a timer for a duration t2 based on the detection result of the acquisition of activity characteristics, and to activate the second detection mode at least once within the duration t2, and to deactivate the second detection mode based on the detection result of the acquisition of no static presence characteristics within the duration t2, to adapt to the alerting of places with little human activity. Further, the microwave detection device is configured to control the operating state of at least one electrical device based on a timer trigger condition of the duration t2. For example, if at least one of the electrical devices is implemented as a UV germicidal lamp, the microwave detection device is configured to control the UV germicidal lamp to deactivate based on the timer trigger condition of the duration t2, and to control the UV germicidal lamp to activate based on the detection result of the acquisition of no static presence characteristics within the duration t2, or to control the UV germicidal lamp to be in a state that allows it to be activated by a switch.

[0205] Continue to refer to the accompanying drawings of the present invention. Figure 4A and Figure 7B As shown, to further understand the present invention, the working logic of the detection method of the microwave detection device according to the above-described different embodiments of the present invention is illustrated, wherein the microwave detection method includes the following steps:

[0206] (A) Based on the first detection mode, microwaves with a pulse working time of less than 1 second and a duty cycle of less than 10% are used to detect human activity, so as to form a detection of the activity existence characteristics corresponding to human movement in the first detection mode.

[0207] (B) The duration t1 is determined by the detection results based on the existence characteristics of the activity, and the duration t1 is extended by the conditions for the extension of the duration t1 formed by the detection results based on the existence characteristics of the activity within the duration t1.

[0208] (C) After the timing of t1 ends, the second detection mode is activated at least once, and the second detection mode uses microwaves in a continuous emission state, or microwaves with a pulse working time greater than or equal to 1 second or a duty cycle greater than or equal to 10%, to detect human activities corresponding to micro-movements such as heartbeat and / or breathing, so as to form the detection of static presence characteristics corresponding to micro-movements such as heartbeat and / or breathing; and

[0209] (D) Turn off the second detection mode and return to step (A).

[0210] Furthermore, in these two embodiments of the present invention, in step (B), the timing of the duration t1 is reset based on the detection results of the existence of activity characteristics within the duration t1, with the current time node as the starting point, thereby forming a continuation of the duration t1.

[0211] Optionally, in some embodiments of the present invention, in step (B), based on the detection results of the existence of activity characteristics within the duration t1, the duration t1 is re-timed starting from a time node after the duration t1, thus forming a continuation of the duration t1.

[0212] Furthermore, in these embodiments of the present invention, in step (C), the second detection mode is preferably triggered based on the end delay of the timing of duration t1, and during the delay, when the detection result of the presence of activity characteristics corresponding to human movement is obtained based on the first detection mode, the timing of duration t1 is triggered and the process returns to step (B), so as to avoid the frequent triggering of the timing of duration t2 by the brief static state and frequent entry and exit behavior of the human body in the target detection area, and to keep duration t1 at an appropriate length to ensure timely feedback of the human body behavior state by the microwave detection device based on the first detection mode.

[0213] Preferably, in these two embodiments of the present invention, in step (B), the duration t1 is set to be greater than or equal to 5 seconds.

[0214] Specifically, in these two embodiments of the present invention, the detection of static presence features corresponding to human heartbeat and / or respiratory micro-movements based on the second detection mode in step (C) includes the following steps:

[0215] (C1) Transmit the second microwave beam corresponding to the frequency of the second excitation signal;

[0216] (C2) Receives the second reflected echo formed by the reflection of the second microwave beam by the corresponding object and generates a corresponding second echo signal;

[0217] (C3) A second Doppler intermediate frequency signal is generated based on the frequency / phase difference between the second excitation signal and the second echo signal by means of frequency mixing detection;

[0218] (C4) Based on the change in frequency / amplitude of the second Doppler intermediate frequency signal over time, the Doppler intermediate frequency signal is converted into a wave signal, that is, the wave signal is the change in frequency / amplitude of the Doppler intermediate frequency signal over time; and

[0219] (C5) Select a specific frequency range of the wave signal in the wave signal by means of filtering, wherein the specific frequency range is within the frequency range of less than 50 Hz, that is, the set of the specific frequency range is a subset of the set of frequency ranges of less than 50 Hz.

[0220] Specifically, in step (C5), the specific frequency range is preferably within a frequency range of less than or equal to 5 Hz. For example, if the specific frequency range is set to a frequency range of less than or equal to 3 Hz, the wave signal corresponding to the specific frequency range represents an action with a frequency of less than or equal to 3 Hz, and can highly represent static existence features corresponding to human heartbeat and / or breathing micro-movements. Thus, the detection of static existence features corresponding to human heartbeat and / or breathing micro-movements is formed based on the corresponding threshold setting of the amplitude of the wave signal.

[0221] Preferably, in step (C), the second detection mode uses microwaves with a pulse working time greater than 10% duty cycle based on the Doppler effect principle to detect human activities corresponding to human heartbeat and / or breathing micro-movements. This is to ensure the accuracy of detecting static features corresponding to human heartbeat and / or breathing micro-movements while reducing the average power consumption of the microwave detection device.

[0222] Furthermore, in these two embodiments of the present invention, step (C) further includes a timing step for duration t2, specifically, timing t2 after the timing of duration t1 ends, and activating the second detection mode at least once within duration t2.

[0223] Furthermore, in step (D), the second detection mode is turned off based on the end of the timing of t2.

[0224] Preferably, in step (D), the second detection mode is turned off by ending the timing of t2 based on the detection result of the detection of static features corresponding to human heartbeat and / or respiratory micro-movements during the timing of t2.

[0225] Optionally, in step (D), the second detection mode is turned off based on the end of a complete timeout of t2.

[0226] Furthermore, corresponding to Figure 4AIn this optimized embodiment of the present invention, while step (C) is being executed, step (A) is maintained, and the detection result of detecting an activity feature corresponding to human movement has a higher priority than the detection result of detecting a static feature corresponding to human heartbeat and / or breathing micro-movements. That is, the execution of step (B) has a higher priority than step (C). Correspondingly, in step (C), step (B) is executed after the first detection mode detects an activity feature corresponding to human movement based on the execution of step (A), so as to avoid the behavior state of the human body leaving the target detection area during the t2 time period being misjudged as being in a static state in the target detection area.

[0227] Preferably, in both embodiments of the present invention, in step (C), the duration t2 is set to be less than or equal to 1 minute.

[0228] Optionally, in some embodiments of the present invention, the second detection mode is turned off in step (D) based on the detection result that no static presence feature corresponding to human heartbeat and / or respiratory micro-movements is detected.

[0229] Specifically, in these embodiments of the present invention, in step (C), the timer for duration t2 ends after the timer for duration t1 ends, the second detection mode is activated within duration t2, and duration t2 is extended by forming a condition for extending duration t2 based on the detection result of detecting the existence of static features within duration t2.

[0230] Preferably, in these embodiments of the present invention, in step (C), the timing of the duration t2 is reset by delay based on the detection result of the detection of the presence of static features within the duration t2, thereby forming a continuation of the duration t2 and intermittent activation of the second detection mode. This reduces the activation time of the second detection mode in the scenario where the detected human body remains static for a long time, which is beneficial to reducing the average power consumption of the microwave detection device.

[0231] Furthermore, to achieve intelligent control of the electrical equipment 100 based on the judgment result of the presence or absence of a human body in the target detection area and / or the judgment of the behavioral state of the human body in the target detection area, step (B) further includes the following steps:

[0232] (B1) Based on the detection results of the activity characteristics in the target detection area, control the working state of at least one electrical device 100, such as controlling a lamp to be in an illuminated state for a duration of t1, or controlling a germicidal lamp to be in an extinguished state.

[0233] The electrical equipment 100 is thus intelligently controlled based on the behavior (state) of a human body entering (existing) the target detection area in an active state.

[0234] Preferably, in step (B1), the working state of the electrical equipment 100 is wirelessly controlled based on the detection results of the activity presence characteristics in the target detection area.

[0235] Furthermore, step (C) further includes the step of:

[0236] The operating state of the electrical equipment 100 is controlled based on the detection result that no static presence characteristics corresponding to human heartbeat and / or breathing micro-movements are detected, such as controlling the lamp to be in an off state or controlling the germicidal lamp to be in an on state.

[0237] Thus, the electrical equipment 100 is intelligently controlled based on the behavior (state) of the human body leaving (not existing) the target detection area.

[0238] Furthermore, step (C) further includes the step of:

[0239] Based on the detection results of static features corresponding to human heartbeat and / or breathing micro-movements, the working state of the electrical equipment 100 is controlled, thereby realizing intelligent control of the electrical equipment 100 and adjusting environmental parameters such as ambient light, humidity, and temperature.

[0240] Furthermore, in these two embodiments of the present invention, in order to simplify the programming requirements of the corresponding electrical equipment 100 by realizing the modularity of the microwave detection device, the presence detection method further includes a step of judging the human behavioral state based on the detection results of the activity presence characteristics corresponding to human movement and the detection results of the static presence characteristics corresponding to human heartbeat and / or breathing micro-movements.

[0241] Specifically, in combination Figure 5 As shown, in step (B), the behavior state S1 of a human body entering the target detection area in an active state is determined based on the detection result of the activity presence characteristics in the target detection area, and the behavior state S2 of a human body existing in the target detection area in an active state is determined based on the detection result of the activity presence characteristics in the target detection area within a duration of t1. That is, the behavior state S1 of a human body entering the target detection area in an active state is determined based on the formation of the timing trigger condition of duration t1, and the behavior state S2 of a human body existing in the target detection area in an active state is determined based on the formation of the continuation condition of duration t1.

[0242] Furthermore, in step (C), the behavior state S3 of the human body leaving the target detection area is determined based on the detection result that no static presence feature corresponding to the human body's heartbeat and / or breathing micro-movements is detected, and the behavior state S4 of the human body existing in the target detection area in a static state is determined based on the detection result that static presence feature corresponding to the human body's heartbeat and / or breathing micro-movements is detected.

[0243] Specifically, in step (B), before the human body leaves the target detection area (S3), the human body enters the target detection area in an active state (S1) based on the detection result that the target detection area has activity characteristics, and before the human body exists in the target detection area in a static state (S4), the human body exists in the target detection area in an active state (S2) based on the detection result that the target detection area has activity characteristics, and the human body exists in the target detection area in a static state (S4) based on the detection result that the target detection area does not have activity characteristics.

[0244] In a preferred embodiment, in the microwave detection device for improving the reliability of human presence detection, the processor module can be implemented as an excitation signal module, i.e., the microwave detection device has a first detection mode and a second detection mode, and is adapted to detect active presence features corresponding to human movement in the first detection mode, and to detect static presence features corresponding to human heartbeat and / or respiratory micro-movements in the second detection mode. The microwave detection device is configured to trigger timing for duration t1 based on the detection result of the active presence feature, extend the timing for duration t1 within duration t1 based on the detection result of the active presence feature, and control the start of the second detection mode based on the end of the timing for duration t1. The microwave detection device includes:

[0245] A first microwave detection module, wherein in the first detection mode, the first microwave detection module is fed by a first excitation signal to emit a microwave beam corresponding to the frequency of the first excitation signal;

[0246] A second microwave detection module, wherein in the second detection mode, the second detection module is fed by a second excitation signal to emit a microwave beam corresponding to the frequency of the second excitation signal, wherein the second excitation signal is set to a continuous signal, or an intermittent signal with a pulse duration greater than or equal to 1 second or a duty cycle greater than or equal to 10%; and

[0247] An excitation signal module is communicatively connected to a first microwave detection module and a second microwave detection module to output a first excitation signal and a second excitation signal to the first microwave detection module and the second microwave detection module, respectively. The operating current of the excitation signal module is I1 when it independently outputs the first excitation signal, and I2 when it independently outputs the second excitation signal, wherein I1:I2 ≤ 1:2. The excitation signal module is configured to trigger a timeout of duration t1 based on the detection result of the acquired activity presence characteristics, extend the timeout of duration t1 based on the acquired activity presence characteristics detection result, and activate the second detection mode by controlling the start of the second microwave detection module based on the end of the timeout of duration t1.

[0248] In the state where the excitation signal module independently outputs the first excitation signal, in order to reduce the operating current I1 of the excitation signal module, the first excitation signal can be configured as an intermittent signal with a low duty cycle, such as an intermittent signal with a pulse working time of less than 1 second and a duty cycle of less than 10%. This can effectively reduce the operating current I1 of the excitation signal module, thereby reducing the effective value of the radiated power of the corresponding microwave beam. Furthermore, the first excitation signal can also be configured as an intermittent signal with a low duty cycle, i.e., outputting one cycle of the excitation signal with a certain interval before outputting the next cycle, thus further reducing the operating current I1 of the excitation signal module. Even further, the first excitation signal can also be configured as an intermittent signal with a low duty cycle, or an intermittent signal with a low duty cycle and intermittent output, while simultaneously reducing the amplitude value of the first excitation signal to further reduce the operating current I1 of the excitation signal module, achieving the detection of a microwave beam with a lower effective value of radiated power. Alternatively, the first excitation signal can also be configured as a continuous wave signal, but the operating current I1 of the excitation signal module is reduced by decreasing the amplitude value of the first excitation signal. The methods for reducing the operating current I1 of the excitation signal module can be expanded or combined sequentially. Thus, by combining one or more of the above methods to reduce the operating current I1 of the excitation signal module, the effective value of the radiation power of the corresponding microwave beam can be reduced simultaneously, resulting in a low-power microwave beam emitting a microwave beam at the frequency corresponding to the first excitation signal. The penetration of the microwave beam can be significantly reduced, effectively avoiding interference outside the target detection area caused by penetration through glass, walls, or other building materials. Simultaneously, it reduces the detection sensitivity to minute movements of non-detected objects, reduces interference from minute movements of non-detected objects within the target detection area, and improves the reliability of detecting activity characteristics corresponding to human movement.

[0249] In the state where the excitation signal module independently outputs the second excitation signal, since the operating current I2 of the excitation signal module is much greater than I1, it can be twice, ten times, or even higher than I1. The effective value of the radiated power of the microwave beam corresponding to the frequency of the first excitation signal is relatively large, making it a low-power microwave beam. For example, under the ISM standard, the maximum radiated transmit power of the 5.8GHz band is 25mW. Microwave beams with a radiated transmit power of less than 25mW are considered low-power microwave beams. Low-power microwave beams in the 5.8GHz band have relatively strong penetration, increasing their penetration ability to penetrate clothing or coverings, thus improving the ability to detect and capture signals such as breathing / heartbeat of a person in different body positions within the target detection area. Furthermore, since the echo signal based on the Doppler effect corresponding to the static presence characteristics corresponding to the micro-movements of human heartbeat and / or breathing is an extremely low-frequency signal with a very small frequency range, it is less affected by interference from non-detection targets inside and outside the target detection area. This also improves the detection reliability of static presence characteristics.

[0250] Similarly, in a preferred embodiment, in the microwave detection device for improving the reliability of human presence detection, the processor module can be implemented as an excitation signal module, i.e., the microwave detection device has a first detection mode and a second detection mode, and is adapted to detect active presence features corresponding to human movement in the first detection mode, and to detect static presence features corresponding to human heartbeat and / or respiratory micro-movements in the second detection mode. The microwave detection device is configured to trigger timing for duration t1 based on the detection result of the active presence feature, extend the timing for duration t1 within duration t1 based on the detection result of the active presence feature, and control the start of the second detection mode based on the end of the timing for duration t1. The microwave detection device includes:

[0251] A microwave detection module, wherein the microwave detection module is configured to be fed to emit a microwave beam corresponding to a corresponding excitation signal; and

[0252] An excitation signal module is communicatively connected to the microwave detection module and is configured to power the microwave detection module with a first excitation signal in a first detection mode and with a second excitation signal in a second detection mode. The second excitation signal is configured as a continuous signal or a discontinuous signal with a pulse duration greater than or equal to 1 second or a duty cycle greater than or equal to 10%. The operating current of the excitation signal module is I1 when it independently outputs the first excitation signal, and I2 when it independently outputs the second excitation signal, where I1:I2 ≤ 1:2. The excitation signal module is further configured to trigger a timing period of t1 based on the detection result of the acquisition of activity characteristics, extend the timing period of t1 within t1 based on the acquisition of activity characteristics, and activate the second detection mode by outputting the second excitation signal upon the end of the timing period of t1.

[0253] In the state where the excitation signal module independently outputs the first excitation signal, in order to reduce the operating current I1 of the excitation signal module, the first excitation signal can be configured as an intermittent signal with a low duty cycle, such as an intermittent signal with a pulse working time of less than 1 second and a duty cycle of less than 10%. This can effectively reduce the operating current I1 of the excitation signal module, thereby reducing the effective value of the radiated power of the corresponding microwave beam. Furthermore, the first excitation signal can also be configured as an intermittent signal with a low duty cycle, i.e., outputting one cycle of the excitation signal with a certain interval before outputting the next cycle, thus further reducing the operating current I1 of the excitation signal module. Even further, the first excitation signal can also be configured as an intermittent signal with a low duty cycle, or an intermittent signal with a low duty cycle and intermittent output, while simultaneously reducing the amplitude value of the first excitation signal to further reduce the operating current I1 of the excitation signal module, achieving the detection of a microwave beam with a lower effective value of radiated power. Alternatively, the first excitation signal can also be configured as a continuous wave signal, but the operating current I1 of the excitation signal module is reduced by decreasing the amplitude value of the first excitation signal. The methods for reducing the operating current I1 of the excitation signal module can be expanded or combined sequentially. Thus, by combining one or more of the above methods to reduce the operating current I1 of the excitation signal module, the effective value of the radiation power of the corresponding microwave beam can be reduced simultaneously, resulting in a low-power microwave beam transmitting the frequency corresponding to the first excitation signal. The penetration of the microwave beam can be significantly reduced, effectively avoiding interference outside the target detection area caused by penetration through glass, walls, or other building materials. Simultaneously, it reduces the detection sensitivity to minute movements of non-detected objects, reduces interference from minute movements of non-detected objects within the target detection area, and improves the reliability of detecting activity characteristics corresponding to human movement. When the excitation signal module independently outputs the second excitation signal, since the operating current I2 of the excitation signal module is much greater than I1 (e.g., twice, ten times, or even higher), the effective value of the radiation power of the microwave beam transmitting the frequency corresponding to the first excitation signal is relatively large, making it a low-power microwave beam.

[0254] For example, under the ISM standard, the maximum radiated emission power of the 5.8 GHz band is 25 mW. Microwave beams with a radiated emission power of less than 25 mW are considered low-power microwave beams. Low-power microwave beams have relatively strong penetration, and increased penetration allows them to penetrate clothing or coverings, thus improving the ability to detect and capture signals such as breathing / heartbeat of a person in different body positions within the target detection area. Furthermore, because the echo signals or extremely low-frequency signals based on the Doppler effect corresponding to the static presence characteristics corresponding to the micro-movements of human heartbeat and / or breathing have very low frequencies and very small frequency ranges, they are less affected by interference from non-targets inside and outside the target detection area. Thus, the reliability of static presence characteristic detection is also improved.

[0255] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any modifications or variations of the embodiments of the present invention may be made without departing from the stated principles.

Claims

1. Microwave detection device, characterized in that The microwave detection device has a first detection mode and a second detection mode, and is adapted to detect a dynamic presence feature corresponding to a human body moving action in the first detection mode, and to detect a static presence feature corresponding to a human body heartbeat and / or breathing micro-motion in the second detection mode, wherein the microwave detection device is configured to trigger a t1 time length counting based on a detection result of the presence dynamic presence feature, and to continue the t1 time length counting based on the detection result of the presence dynamic presence feature within the t1 time length, and to control the second detection mode to be started based on an end of the t1 time length counting, wherein the microwave detection device comprises: a first microwave detection module, wherein in the first detection mode, the first microwave detection module is powered by a first excitation signal to emit a microwave beam corresponding to a frequency of the first excitation signal, wherein the first excitation signal is configured as a discontinuous signal with a pulse working time less than 1 second and a duty cycle less than 10%; a second microwave detection module, wherein in the second detection mode, the second microwave detection module is powered by a second excitation signal to emit a microwave beam corresponding to a frequency of the second excitation signal, wherein the second excitation signal is configured as a continuous signal, or a discontinuous signal with a pulse working time greater than or equal to 1 second or a duty cycle greater than or equal to 10%; and a processor module, wherein the processor module is communicatively connected to the first microwave detection module and the second microwave detection module to output the first excitation signal and the second excitation signal to the first microwave detection module and the second microwave detection module, respectively, wherein in a state where the processor module independently outputs the first excitation signal, a current of a power supply end of the processor module is I1, and in a state where the processor module independently outputs the second excitation signal, a current of a power supply end of the processor module is I2, wherein I1:I2≤1:2, wherein the processor module is configured to trigger a t1 time length counting based on a detection result of the presence dynamic presence feature, and to continue the t1 time length counting based on the detection result of the presence dynamic presence feature within the t1 time length, and to control the second microwave detection module to be started to start the second detection mode based on an end of the t1 time length counting.

2. The microwave detection device according to claim 1, wherein the processor module is configured to count a t2 time length after the end of the t1 time length counting, and to start the second microwave detection module at least once within the t2 time length.

3. The microwave detection device according to claim 2, wherein during the timing of t2, the first microwave detection module is maintained activated, wherein the processor module is configured to have a higher priority for the action triggered by the timing of t1 than the action triggered by the timing of t2, i.e. to have a higher priority for obtaining the detection result of the presence of the active presence feature than obtaining the detection result of the presence of the static presence feature, and the processor module is configured to end the timing of t2 and trigger the timing of t1 based on the detection result of the presence of the active presence feature during the timing of t2.

4. The microwave detection device according to claim 3, wherein the processor module is configured to turn off the second microwave detection module based on the end of the timing of t2.

5. The microwave detection device according to claim 4, wherein t2 is configured to be less than or equal to 1 minute, and t1 is configured to be greater than or equal to 5 seconds.

6. The microwave detection device according to claim 5, wherein the processor module is configured to turn off the second microwave detection module based on the detection result of the presence of the static presence feature ending the timing of t2 during the timing of t2.

7. The microwave detection device according to claim 5, wherein the processor module is configured to extend t2 based on the detection result of the presence of the static presence feature forming an extension condition of t2 during the timing of t2.

8. The microwave detection device according to claim 5, wherein the processor module is configured to form an extension of t2 and intermittent activation of the second microwave detection module based on the detection result of the presence of the static presence feature delaying the reset of the timing of t2 during the timing of t2.

9. The microwave detection device according to any one of claims 1 to 8, wherein the processor module is configured to identify, based on the detection of the active presence feature, a behavior state S1 of a human entering the target detection area in an active state or a behavior state S2 of a human existing in the target detection area in an active state, depending on whether the detection result of the presence of the active presence feature is obtained.

10. The microwave detection device according to claim 9, wherein the processor module is configured to identify, based on the detection of the static presence feature, a behavior state S3 of a human leaving the target detection area, depending on whether the detection result of the presence of the static presence feature is obtained.

11. The microwave detection device according to claim 10, wherein the processor module is configured to identify, based on the detection of the static presence feature, a behavior state S4 of a human existing in the target detection area in a static state, depending on whether the detection result of the presence of the static presence feature is obtained.

12. The microwave detection device according to claim 11, wherein the processor module is configured to identify, based on the detection of the active presence feature, the behavior state S1 of a human entering the target detection area in an active state, in a pre-state of the behavior state S3 of a human leaving the target detection area, depending on whether the detection result of the presence of the active presence feature is obtained.

13. The microwave detection apparatus according to claim 12, wherein the processor module is configured to be set in a pre-state of the behavior state S4 that a human body exists in the target detection area in a static state, to identify the behavior state S2 that a human body exists in the target detection area in a dynamic state based on detection of the dynamic presence feature, and to maintain the behavior state S4 that a human body exists in the target detection area in a static state based on no detection of the dynamic presence feature.

14. The microwave detection apparatus according to any one of claims 1 to 8, wherein in a state that the second microwave detection module is activated, the microwave detection apparatus is configured to detect the static presence feature by: (a) transmitting a second microwave beam corresponding to the frequency of the second excitation signal; (b) receiving a second echo signal corresponding to a second reflected echo of the second microwave beam reflected by a corresponding object; (c) generating a second Doppler intermediate frequency signal based on a frequency / phase difference between the second excitation signal and the second echo signal by means of a mixing detection; (d) converting the second Doppler intermediate frequency signal into a fluctuation signal based on a change of frequency / amplitude of the second Doppler intermediate frequency signal over time, wherein the fluctuation signal is a signal of the change of frequency / amplitude of the second Doppler intermediate frequency signal over time; and (e) selecting the fluctuation signal in a specific frequency range of the fluctuation signal by means of filtering, wherein the specific frequency range is a subset of a set of frequency ranges less than 50 Hz.

15. The microwave detection apparatus according to claim 14, wherein the specific frequency range is set in a frequency range less than or equal to 1 Hz.

16. The microwave detection apparatus according to claim 14, wherein I1:I2≤1:

10.

17. The microwave detection apparatus according to claim 16, further comprising a battery, wherein in a state that the microwave detection apparatus is connected to the battery, the processor module is powered by the battery, the first microwave detection module is communicatively connected to the processor module and powered by the battery, and the second microwave detection module is communicatively connected to the processor module and powered by the battery under control of the processor module. The microwave detection apparatus has a first detection mode and a second detection mode, and is adapted to detect a dynamic presence feature corresponding to a moving action of a human body in the first detection mode, and to detect a static presence feature corresponding to a micro-action of a heartbeat and / or breathing of a human body in the second detection mode, wherein the microwave detection apparatus is configured to trigger a timing of t1 based on detection of the dynamic presence feature, to continue the timing of t1 based on detection of the dynamic presence feature within t1, and to control activation of the second detection mode based on an end of the timing of t1, wherein the microwave detection apparatus comprises: ​ ​ ​ ​ 18. Microwave detection device, characterized in that ​ a microwave detection module, wherein the microwave detection module is configured to be fed with an excitation signal to emit a microwave beam corresponding to the excitation signal; and a processor module, wherein the processor module is communicatively connected to the microwave detection module, and is configured to feed the microwave detection module with a first excitation signal in the first detection mode, and to feed the microwave detection module with a second excitation signal in the second detection mode, wherein the first excitation signal is configured as a discontinuous signal with a pulse duty time less than 1 second and a duty cycle less than 10%, and wherein the second excitation signal is configured as a continuous signal, or a discontinuous signal with a pulse duty time greater than or equal to 1 second or a duty cycle greater than or equal to 10%, wherein a current at a power supply terminal of the processor module is I1 when the processor module outputs the first excitation signal independently, and is I2 when the processor module outputs the second excitation signal independently, wherein I1:I2≤1:2, wherein the processor module is further configured to trigger a timing of t1 based on a detection result of presence of a presence activity feature, and to extend the timing of t1 based on a detection result of presence of the presence activity feature within the timing of t1, and to start the second detection mode based on an output of the second excitation signal at the end of the timing of t1.

19. The microwave detection apparatus of claim 18, wherein the processor module is configured to time a timing of t2 after the end of the timing of t1, and to switch to the second detection mode by outputting the second excitation signal at least once within the timing of t2.

20. The microwave detection apparatus of claim 19, wherein the processor module is configured to switch back to the first detection mode based on an output of the first excitation signal at the end of the timing of t2.

21. The microwave detection apparatus of claim 20, wherein t2 is configured to be less than or equal to 1 minute, and t1 is configured to be greater than or equal to 5 seconds.

22. The microwave detection apparatus of claim 21, wherein the processor module is configured to switch back to the first detection mode based on a detection result of presence of a static presence feature during the timing of t2.

23. The microwave detection apparatus of claim 21, wherein the processor module is configured to extend the timing of t2 based on a detection result of presence of a static presence feature during the timing of t2.

24. The microwave detection apparatus of claim 21, wherein the processor module is configured to form an extension of the timing of t2 and a discontinuous start of the second detection mode based on a detection result of presence of a static presence feature during the timing of t2.

25. The microwave detecting device of claim 20, wherein in the timing of t2, the first detecting mode is maintained active, the processor module outputs the first excitation signal and the second excitation signal simultaneously, the first excitation signal is set as a discontinuous signal, the second excitation signal is set as a discontinuous signal with a pulse-on time greater than or equal to 1 second or greater than or equal to 10% duty cycle, and the pulse-on time of the second excitation signal is offset from the pulse-on time of the first excitation signal, so as to simultaneously detect the presence of a moving object in the timing of t2.

26. The microwave detecting device of claim 20, wherein in the second detecting mode, the microwave detecting device detects the presence of a moving object and the presence of a static object by the following steps: (i) transmitting a second microwave beam corresponding to the frequency of the second excitation signal; (ii) receiving a second reflected echo of the second microwave beam reflected by a corresponding object to generate a corresponding second echo signal; (iii) generating a second Doppler intermediate frequency signal based on the frequency / phase difference between the second excitation signal and the second echo signal by means of mixing and detection; (iv) converting the second Doppler intermediate frequency signal into a fluctuation signal based on the change in frequency / amplitude of the second Doppler intermediate frequency signal over time, wherein the fluctuation signal is the signal of the change in frequency / amplitude of the second Doppler intermediate frequency signal over time; (v) selecting two paths of the fluctuation signal in two specific frequency ranges by filtering, wherein one of the specific frequency ranges is in a frequency range less than or equal to 3 Hz, and the other of the specific frequency ranges is in a frequency range greater than 3 Hz and less than 50 Hz; wherein the processor module is configured to obtain a detection result of the presence of a moving object based on a corresponding threshold setting of the fluctuation signal in the specific frequency range greater than 3 Hz and less than 50 Hz, and obtain a detection result of the presence of a static object based on a corresponding threshold setting of the fluctuation signal in the specific frequency range less than or equal to 3 Hz, wherein the detection result of the presence of a moving object is obtained when the fluctuation signal in the specific frequency range greater than 3 Hz and less than 50 Hz fluctuates based on the corresponding threshold setting, and the detection result of the presence of a static object is obtained when the fluctuation signal in the specific frequency range less than or equal to 3 Hz fluctuates based on the corresponding threshold setting.

27. The microwave detecting device of claim 20, wherein in the second detecting mode, the microwave detecting device detects the presence of a moving object and the presence of a static object by the following steps: (i) transmitting a second microwave beam corresponding to the frequency of the second excitation signal; (ii) receiving a second reflected echo of the second microwave beam reflected by a corresponding object to generate a corresponding second echo signal; ​ (iii) generating two second Doppler intermediate frequency signals based on the frequency / phase difference between the second excitation signal and the second echo signal in a mixed-frequency detection manner; (iv) converting one of the second Doppler intermediate frequency signals into a fluctuation signal based on the frequency / amplitude change of the one of the second Doppler intermediate frequency signals over time, i.e. the fluctuation signal is the frequency / amplitude change signal of the one of the second Doppler intermediate frequency signals over time; and (v) selecting the fluctuation signal in a specific frequency range of the fluctuation signal in a filtering manner, wherein the specific frequency range is in a frequency range less than 50 Hz, i.e. the set of the specific frequency range is a subset of the set of the frequency range less than 50 Hz; wherein the processor module is configured to obtain a detection result of a static existence feature based on a corresponding threshold setting of the fluctuation signal in the specific frequency range, and obtain a detection result of a dynamic existence feature based on a corresponding threshold setting of the other of the second Doppler intermediate frequency signals, corresponding to obtaining the detection result of the static existence feature when the fluctuation of the fluctuation signal in the specific frequency range is based on the corresponding threshold setting, and obtaining the detection result of the dynamic existence feature when the fluctuation of the other of the second Doppler intermediate frequency signals is based on the corresponding threshold setting.

28. The microwave detection device according to any one of claims 25 to 27, wherein the processor module is configured to have a higher priority for the timing action of t1 than for the timing action of t2, i.e. to have a higher priority for obtaining the detection result of the dynamic existence feature than for obtaining the detection result of the static existence feature, corresponding to the processor module ending the timing of t2 based on obtaining the detection result of the dynamic existence feature during the timing of t2, switching back to the first detection mode and triggering the timing of t1.

29. The microwave detection device according to claim 28, wherein I1:I2≤1:

10.

30. The microwave detection device according to claim 29, further comprising a battery, wherein in a state that the microwave detection device is connected to the battery, the processor module is powered by the battery, and the microwave detection module is communicatively connected to the processor module and powered by the battery.

31. The microwave detection device according to claim 28, wherein the processor module is configured to identify, based on the detection of the dynamic existence feature, a behavior state S1 of a human body entering a target detection area in a dynamic state or a behavior state S2 of a human body existing in the target detection area in a dynamic state according to whether the detection result of the dynamic existence feature is obtained.

32. The microwave detection device according to claim 31, wherein the processor module is configured to identify, based on the detection of the static existence feature, a behavior state S3 of the human body leaving the target detection area according to whether the detection result of the static existence feature is obtained.

33. The microwave detection apparatus according to claim 32, wherein the processor module is configured to identify a human being in a static state of presence in the target detection area based on the detection of the static presence feature in the step S4.

34. The microwave detection apparatus according to claim 33, wherein the processor module is configured to identify a human being in a dynamic state of presence entering the target detection area based on the detection of the dynamic presence feature in the step S1 in a pre-state of the step S3 in which the human being is in a state of leaving the target detection area.

35. The microwave detection apparatus according to claim 34, wherein the processor module is configured to identify a human being in a dynamic state of presence in the target detection area based on the detection of the dynamic presence feature in the step S2 in a pre-state of the step S4 in which the human being is in a static state of presence in the target detection area, and to maintain the identification of the human being in the static state of presence in the target detection area S4 based on the absence of the detection of the dynamic presence feature.

36. A method of microwave probing, characterized by, comprising the steps of: (A) detecting human body activity based on a first detection mode with a microwave in a pulsed operation time less than 1 second and a duty cycle less than 10%, to form a detection of a dynamic presence feature corresponding to a human body movement action in the first detection mode; (B) timing a duration tl based on the detection of the dynamic presence feature, and extending the duration tl based on the detection of the dynamic presence feature within the duration tl to form an extension condition of the duration tl; (C) after the end of the timing of the duration tl, starting at least once a second detection mode, and detecting human body activity corresponding to a human body heartbeat and / or breathing action in the second detection mode with a microwave in a continuous emission state, or with a microwave in a pulsed operation time greater than or equal to 1 second or a duty cycle greater than or equal to 10%, to form a detection of a static presence feature corresponding to the human body heartbeat and / or breathing action; and (D) closing the second detection mode.

37. The microwave detection method according to claim 36, wherein in the step (B), the extension of the duration tl is formed based on the detection of the dynamic presence feature within the duration tl by resetting the timing of the duration tl with a current time node as a timing start point.

38. The microwave detection method according to claim 36, wherein in the step (B), the extension of the duration tl is formed based on the detection of the dynamic presence feature within the duration tl by re-timing the duration tl with a time node after the duration tl as a timing start point.

39. The microwave detection method according to claim 38, wherein in the step (C), the start of the second detection mode is triggered based on the end of the timing of the duration tl, and during the delay, when the detection of the dynamic presence feature corresponding to the human body movement action is obtained based on the first detection mode, the timing of the duration tl is triggered to return to the step (B).

40. The microwave detecting method according to claim 37, wherein in said step (B), tl is set to be equal to or greater than 5 seconds.

41. The microwave detecting method according to claim 40, wherein in said step (C), detecting a static presence feature based on said second detecting mode comprises the following steps: (C1) transmitting a second microwave beam corresponding to a second excitation signal frequency; (C2) receiving a second reflected echo generated by reflecting said second microwave beam by a corresponding object to form a second reflected echo; (C3) generating a second Doppler intermediate frequency signal based on a frequency / phase difference between said second excitation signal and said second reflected echo in a manner of mixing and detecting; (C4) converting said Doppler intermediate frequency signal into a fluctuation signal based on a frequency / amplitude change of said Doppler intermediate frequency signal over time, wherein said fluctuation signal is a signal of a frequency / amplitude change of said second Doppler intermediate frequency signal over time; and (C5) selecting said fluctuation signal in a specific frequency range of said fluctuation signal in a manner of filtering, wherein said specific frequency range is a subset of a set of frequency ranges less than 50 Hz.

42. The microwave detecting method according to claim 41, wherein in said step (C5), said specific frequency range is set to be within a frequency range equal to or less than 5 Hz.

43. The microwave detecting method according to claim 42, wherein in said step (C5), said specific frequency range is set to be within a frequency range equal to or less than 1 Hz.

44. The microwave detecting method according to claim 43, wherein in said step (C1), said second excitation signal is set to be a signal with a duty cycle of a pulse operation time greater than 10%.

45. The microwave detecting method according to claim 43, wherein in said step (C), a time period of t2 is counted after the time period of tl is counted, and said second detecting mode is activated at least once within the time period of t2.

46. The microwave detecting method according to claim 45, wherein in said step (D), said second detecting mode is turned off based on the end of counting the time period of t2.

47. The microwave detecting method according to claim 46, wherein in said step (D), said second detecting mode is turned off based on a detection result of detecting a static presence feature during the counting of the time period of t2.

48. The microwave detecting method according to claim 46, wherein in a state where said step (C) is performed, said step (A) is maintained to be performed, wherein in said step (C), the counting of the time period of t2 is ended and the step (B) is returned based on a detection result of detecting a moving presence feature during the counting of the time period of t2 and triggering the counting of the time period of tl based on the performance of said step (A).

49. The microwave detecting method according to claim 48, wherein in said step (C), t2 is set to be equal to or less than 1 minute. ​ 50. The microwave detecting method according to claim 43, wherein in said step (C), the second detecting mode is turned off based on the detecting result of no static existence feature being detected.

51. The microwave detecting method according to claim 50, wherein in said step (C), a time period t2 is counted after the counting of the time period tl is finished, the second detecting mode is started in the time period t2, and the time period t2 is extended based on the detecting result of static existence feature being detected in the time period t2 to form an extension condition of the time period t2.

52. The microwave detecting method according to claim 50, wherein in said step (C), the counting of the time period t2 is reset based on the detecting result of static existence feature being detected in the time period t2 to form the extension of the time period t2 and the intermittent starting of the second detecting mode.

53. The microwave detecting method according to any one of claims 36 to 52, wherein in said step (B), further comprising a step of: (B1) controlling the working state of at least one electrical device based on the detecting result of the target detecting area having the active existence feature.

54. The microwave detecting method according to claim 53, wherein in said step (C), further comprising a step of: (B1) controlling the working state of the electrical device based on the detecting result of no static existence feature being detected.

55. The microwave detecting method according to claim 54, wherein in said step (C), further comprising a step of: (B1) controlling the working state of the electrical device based on the detecting result of static existence feature being detected.

56. The microwave detecting method according to any one of claims 39 to 52, wherein in said step (B), the behavior state SI of a human body entering the target detecting area in an active state or the behavior state S2 of a human body existing in the target detecting area in an active state is determined based on the detecting result of the active existence feature being detected.

57. The microwave detecting method according to claim 56, wherein in said step (C), the behavior state S3 of a human body leaving the target detecting area is determined based on the detecting result of no static existence feature being detected, and the behavior state S4 of a human body existing in the target detecting area in a static state is determined based on the detecting result of static existence feature being detected.

58. The microwave detecting method according to claim 57, wherein in said step (B), in the preceding state of the behavior state S3 of a human body leaving the target detecting area, the behavior state SI of a human body entering the target detecting area in an active state is determined based on the detecting result of the active existence feature existing in the target detecting area, and in the preceding state of the behavior state S4 of a human body existing in the target detecting area in a static state, the behavior state S2 of a human body existing in the target detecting area in an active state is determined based on the detecting result of the active existence feature existing in the target detecting area, and the preceding state of the behavior state S4 of a human body existing in the target detecting area in a static state is maintained based on the detecting result of no active existence feature existing in the target detecting area.

59. A microwave detection apparatus for improving the reliability of human presence detection, the apparatus comprising: a microwave source; a microwave detector; and a microwave reflector. The microwave detection device has a first detection mode and a second detection mode, and is adapted to detect a presence feature corresponding to a moving action of a human body in the first detection mode, and to detect a presence feature corresponding to a heartbeat and / or a breathing micro-motion of a human body in the second detection mode, wherein the first excitation signal is set as a discontinuous signal with a pulse duty cycle less than 1 second and a duty cycle less than 10%, wherein the microwave detection device is set to trigger a t1 time length based on a detection result of a presence activity feature, and to continue the t1 time length based on a detection result of a presence activity feature within the t1 time length, and to control the start of the second detection mode based on the end of the t1 time length, wherein the microwave detection device comprises: a microwave detection module, wherein the microwave detection module is set to allow power feeding to emit a microwave beam corresponding to a corresponding excitation signal; and an excitation signal module, wherein the excitation signal module is communicatively connected to the microwave detection module, and is set to power feed the microwave detection module with a first excitation signal in the first detection mode, and to power feed the microwave detection module with a second excitation signal in the second detection mode, wherein the second excitation signal is set as a continuous signal, or a discontinuous signal with a pulse duty cycle greater than or equal to 1 second or greater than or equal to 10% duty cycle, wherein in a state where the excitation signal module independently outputs the first excitation signal, the working current of the excitation signal module is I1, and in a state where the excitation signal module independently outputs the second excitation signal, the working current of the excitation signal module is I2, wherein I1:I2≤1:2, wherein the excitation signal module is further set to trigger a t1 time length based on a detection result of a presence activity feature, and to continue the t1 time length based on a detection result of a presence activity feature within the t1 time length, and to start the second detection mode based on the output of the second excitation signal based on the end of the t1 time length.

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