CN114758476A - Activity information monitoring method, device, system, equipment and storage medium - Google Patents
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Abstract
The application provides an activity information monitoring method, an apparatus, a system, equipment and a storage medium, wherein the method comprises the following steps: receiving a plurality of probe beams of a beam generator for periodically scanning a target environment, wherein the beam directions of the plurality of probe beams are different, and a moving object is included in the target environment; acquiring current channel characteristics in the target environment according to the plurality of detection beams; determining difference information between the current channel characteristics and original channel characteristics in the target environment, wherein the original channel characteristics are channel characteristics when no moving object exists in the target environment; and monitoring whether the moving object moves or not according to the difference information. The method and the device have the advantages that the active information of the moving object is detected by actively and periodically emitting the detection beams in different directions in the target environment, the problem of signal dead angles caused by uneven distribution of wireless signals can be greatly reduced, and the reliability and the accuracy of activity detection are improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to an activity information monitoring method, apparatus, system, device, and storage medium.
Background
With the aging of society, the family care of the old becomes a focus of attention. Many old people fall down at home alone, and the life and health are threatened because the old people are not discovered and rescued in time. The existing monitoring modes comprise wearing a sensor and installing a camera device at home, and the two methods have serious defects. The sensor wearing mode is invalid because the old does not carry the sensor with him; the camera equipment installed at home has the limitation that articles are shielded and light is insufficient, and the camera has the risk of network intrusion in addition, so that privacy disclosure is caused.
In this case, a technology for sensing human activities using a WiFi network is gaining attention. When a person moves indoors, the person can reflect and scatter wireless signals, so that the original signal propagation environment is changed, the disturbance can be reflected on the amplitude and phase change of OFDM (Orthogonal Frequency Division Multiplexing) subcarriers received by a receiver, the disturbance characteristics of different motion states of the person on the OFDM subcarriers are different, and the disturbance characteristics can be extracted by an artificial intelligence deep learning method, so that various motion states of the person, such as walking, sitting and falling, can be identified. This technology is called Channel State Information (CSI) technology, and it has been reported that sensing of human activities is achieved by using the existing WiFi network, so that the WiFi network can be used for monitoring the elderly at home in addition to communication interconnection.
The existing wireless sensing method based on the commercial WiFi network still has the defects. Due to the fact that indoor walls and various furniture articles shield wireless signals, indoor signals are not uniformly distributed, and a plurality of weak signal places exist. When the human body moves to these places, the reflected and stray signals are weak and easily submerged by background noise. In addition, the WiFi network gradually evolves to a WiFi6 network of a 5G frequency band, compared with 2.4G WiFi, the coverage area of the WiFi6 network is smaller, wireless signals are more concentrated in certain specific beam directions after the MU MIMO technology is adopted, indoor wireless signals are more unevenly distributed, and signal dead angles are more easily generated. The human activity perception needs high-fineness CSI signal change characteristics, and weak human reflection signals cause CSI detection to generate false alarms and false-missing alarms.
Disclosure of Invention
An object of the embodiments of the present application is to provide an activity information monitoring method, apparatus, system, device, and storage medium, which detect activity information of a moving object by actively and periodically emitting probe beams in different directions into a target environment, so as to greatly reduce the problem of signal dead angles caused by uneven distribution of wireless signals, and improve reliability and accuracy of activity detection.
A first aspect of an embodiment of the present application provides an activity information monitoring method, including: receiving a plurality of probe beams of a periodic scanning target environment by a beam generator, wherein the beam directions of the plurality of probe beams are different, and a moving object is included in the target environment; acquiring current channel characteristics in the target environment according to the plurality of detection beams; determining difference information between the current channel characteristics and original channel characteristics within the target environment, wherein the original channel characteristics are channel characteristics in the absence of a moving object within the target environment; and monitoring whether the moving object moves or not according to the difference information.
In one embodiment, the periodically scanning the target environment comprises, in one scanning period: a normal communication time slot and a beam scanning time slot which are independent of each other.
In an embodiment, before the receiving the plurality of probe beams that periodically scan the target environment, the method further includes: when no moving object exists in the target environment, receiving a plurality of learning beams for periodically scanning the target environment, wherein the beam directions of the plurality of learning beams are different; and acquiring the original channel characteristics in the target environment according to the plurality of learning beams.
In one embodiment, the plurality of learning beams are beams emitted by the beam generator in a plurality of beam scanning time slots, wherein a plurality of the learning beams are emitted in each of the beam scanning time slots; the obtaining the original channel characteristics in the target environment according to the multiple learning beams includes: and determining the corresponding transmission channel characteristics under each beam scanning time slot according to the channel state information corresponding to the plurality of learning beams, and taking the obtained channel characteristic set as the original channel characteristics in the target environment.
In an embodiment, the monitoring whether the moving object moves according to the difference information includes: judging whether the maximum value of the difference information is larger than a preset threshold value or not; when the maximum value of the difference information is larger than the preset threshold value, determining that the moving object moves, and informing a target beam direction to the beam generator, wherein the target beam direction is the direction of the detection beam corresponding to the maximum value of the difference information; receiving a plurality of tracking beams emitted by the beam generator within the target environment; determining whether the moving object moves according to the plurality of tracking beams.
In one embodiment, the plurality of tracking beams comprises: a target wave beam in the direction of the target wave beam, a first tracking wave beam with a direction included angle with the target wave beam as a first preset angle, and a second tracking wave beam with a direction included angle with the target wave beam as a second preset angle; the determining whether the moving object moves according to the plurality of tracking beams includes: determining which direction of the plurality of tracking beams has the largest beam disturbance according to the channel state information corresponding to the plurality of tracking beams; if the beam disturbance of the target beam is maximum, determining that the moving object does not move; if the beam disturbance of the first tracking beam is maximum, determining that the moving object moves towards the direction of the first tracking beam; and if the beam disturbance of the second tracking beam is maximum, determining that the moving object moves towards the direction of the second tracking beam.
In an embodiment, the determining whether the moving object moves according to the tracking beams further includes: and when the beam disturbance is not the target beam, sending a beam adjustment request to the beam generator so that the beam generator emits the tracking beam according to the beam with the maximum beam disturbance at the next beam scanning time slot.
In an embodiment, the acquiring current channel characteristics in the target environment according to the multiple sounding beams includes: calculating said current channel characteristics within said target environment using the formula:
wherein h isjObtaining current channel characteristics corresponding to the plurality of probe beams in an ith beam scanning time slot, wherein N is the number of wave numbers of the plurality of probe beams, and N is a positive integer; m is the number of subcarriers included in each sounding beam, and M is a positive integer; CSIN,MAnd the channel state information corresponds to the mth subcarrier of the nth sounding beam.
In one embodiment, the difference information is an amplitude difference; said determining difference information between said current channel characteristics and original channel characteristics within said target environment, comprising: the amplitude difference is calculated using the following formula:
wherein, the CSIp,jChannel state information corresponding to the jth subcarrier of the pth detection beam in the ith beam scanning time slot, wherein j belongs to (0, M);
average channel state information corresponding to subcarriers of the p-th sounding beam in the original channel characteristics in an ith beam scanning time slot; delta. for the preparation of a coatingpScanning time slot for ith beam, in direction of p-th probe beamIs detected, and the amplitude difference between the current channel characteristic and the original channel characteristic.
A second aspect of the embodiments of the present application provides an activity information monitoring apparatus, including: the device comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a plurality of detection beams which are used for periodically scanning a target environment by a beam generator, the beam directions of the plurality of detection beams are different, and a moving object is included in the target environment; a first obtaining module, configured to obtain, according to the multiple sounding beams, a current channel characteristic in the target environment; a determining module, configured to determine difference information between the current channel characteristics and original channel characteristics in the target environment, where the original channel characteristics are channel characteristics when no moving object exists in the target environment; and the monitoring module is used for monitoring whether the mobile object moves or not according to the difference information.
In one embodiment, the periodically scanning the target environment comprises, in one scanning period: a normal communication time slot and a beam scanning time slot independent of each other.
In one embodiment, the method further comprises: a second receiving module, configured to receive a plurality of learning beams for periodically scanning a target environment when a moving object does not exist in the target environment before the receiving of the plurality of probe beams for periodically scanning the target environment, where beam directions of the plurality of learning beams are different; a second obtaining module, configured to obtain the original channel characteristics in the target environment according to the plurality of learning beams.
In one embodiment, the plurality of learning beams are beams emitted by the beam generator in a plurality of beam scanning time slots, wherein a plurality of the learning beams are emitted in each of the beam scanning time slots; the second obtaining module is configured to: and determining the transmission channel characteristics corresponding to each beam scanning time slot according to the channel state information corresponding to the plurality of learning beams, and taking the obtained channel characteristic set as the original channel characteristics in the target environment.
In one embodiment, the monitoring module is configured to: judging whether the maximum value of the difference information is larger than a preset threshold value or not; when the maximum value of the difference information is larger than the preset threshold value, determining that the moving object moves, and informing a target beam direction to the beam generator, wherein the target beam direction is the direction of the detection beam corresponding to the maximum value of the difference information; receiving a plurality of tracking beams emitted by the beam generator within the target environment; determining whether the moving object moves according to the plurality of tracking beams.
In one embodiment, the plurality of tracking beams comprises: a target wave beam in the direction of the target wave beam, a first tracking wave beam with a direction included angle with the target wave beam as a first preset angle, and a second tracking wave beam with a direction included angle with the target wave beam as a second preset angle; the monitoring module is further configured to: determining which direction of the plurality of tracking beams has the largest beam disturbance according to the channel state information corresponding to the plurality of tracking beams; if the beam disturbance of the target beam is maximum, determining that the moving object does not move; if the beam disturbance of the first tracking beam is maximum, determining that the moving object moves towards the direction of the first tracking beam; and if the beam disturbance of the second tracking beam is maximum, determining that the moving object moves towards the direction of the second tracking beam.
In one embodiment, the monitoring module is further configured to: and when the beam disturbance is not the target beam with the maximum beam disturbance, sending a beam adjustment request to the beam generator so that the beam generator emits a tracking beam according to the beam with the maximum beam disturbance at the next beam scanning time slot.
In one embodiment, the first obtaining module is configured to: calculating the current channel characteristics within the target environment using the formula:
wherein h isjScanning the plurality of sounding beams for the ith beam at the slotCorresponding to the current channel characteristics, N is the number of wave numbers of the plurality of detection beams, and N is a positive integer; m is the number of subcarriers included in each sounding beam, and M is a positive integer; CSIN,MAnd the channel state information corresponds to the mth subcarrier of the nth sounding beam.
In one embodiment, the difference information is an amplitude difference; the determination module is to: the amplitude difference is calculated using the following formula:
wherein, the CSIp,jChannel state information corresponding to the jth subcarrier of the pth detection beam in the ith beam scanning time slot, wherein j belongs to (0, M);
average channel state information corresponding to a subcarrier of a p-th sounding beam in the original channel characteristics at an ith beam scanning time slot; deltapThe amplitude difference between the current channel characteristic and the original channel characteristic in the p-th probe beam direction at the i-th beam scanning time slot.
A third aspect of the embodiments of the present application provides an activity information monitoring system, including: the device comprises a beam generator, a detector and a controller, wherein the beam generator is used for periodically transmitting a plurality of probe beams to a target environment, the beam directions of the probe beams are different, and a moving object is included in the target environment; an activity detector installed in the target environment for receiving the plurality of probe beams and monitoring whether the moving object moves by using the activity information monitoring method according to any one of claims 1 to 9.
A fourth aspect of the embodiments of the present application provides an electronic device, including: a memory to store a computer program; a processor configured to perform the method of the first aspect of the embodiments of the present application and any of the embodiments of the present application.
A fifth aspect of embodiments of the present application provides a non-transitory electronic device-readable storage medium, including: a program which, when run by an electronic device, causes the electronic device to perform the method of the first aspect of an embodiment of the present application and any embodiment thereof.
The application provides a method, a device, a system, equipment and a storage medium for monitoring activity information, wherein detection beams in different directions are periodically transmitted into a target environment through a wave velocity generator, then the channel characteristics of a plurality of received detection beams are compared with the original channel characteristics of the target environment, the difference information of the detection beams and the original channel characteristics is determined, and the activity information of a mobile object is detected based on the difference information.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2A is a schematic structural diagram of an activity information monitoring system according to an embodiment of the present application;
fig. 2B is a schematic structural diagram of an activity information monitoring system according to an embodiment of the present application;
fig. 2C is a schematic diagram illustrating a timing relationship between a normal service process and a scanning timeslot according to an embodiment of the present application;
fig. 3 is a flowchart illustrating an activity information monitoring method according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating an activity information monitoring method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an activity information monitoring apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. In the description of the present application, the terms "first," "second," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
As shown in fig. 1, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor being exemplified in fig. 1. The processor 11 and the memory 12 are connected by a bus 10. The memory 12 stores instructions executable by the processor 11, and the instructions are executed by the processor 11, so that the electronic device 1 may execute all or part of the processes of the methods in the following embodiments, so as to detect the motion information of the moving object by actively and periodically emitting probe beams in different directions into the target environment, thereby greatly reducing the signal dead angle problem caused by uneven distribution of wireless signals, and improving the reliability and accuracy of motion detection.
In an embodiment, the electronic device 1 may be a gateway device, a mobile phone, a tablet computer, a notebook computer, a desktop computer, or a mainframe computing system composed of multiple computers.
Please refer to fig. 2A, which is an embodiment of an activity information monitoring system 200, including: a beam generator 201 and an activity detector 202, wherein the beam generator 201 is configured to periodically transmit a plurality of probe beams to a target environment, wherein the plurality of probe beams have different beam directions, and a moving object is included in the target environment. An activity detector 202, installed in the target environment, is used to receive the plurality of probe beams and monitor whether the moving object moves using all or part of the process of the method in the embodiments described below. The target environment may be a certain designated indoor scene, such as a room. The moving object may be a living creature such as a human or an animal, or may be a device capable of mechanical activity such as an intelligent robot or the like. The beam generator 201 may be implemented by a device based on wireless communication, for example, the beam generator 201 may be implemented by a WiFi Access Point (AP), and the activity detector 202 may be implemented by a device accessing a wireless network through the WiFi Access Point.
As shown in fig. 2B, assuming that a WiFi access point is used as the beam generator 201, a client device accessing a wireless network through the WiFi access point is used as the activity detector 202, taking "fall" of human activity as an example of a monitoring object, the activity information monitoring system may specifically include: a WiFi Beam Generator (WBG) and a Human Fall Detector (HFD).
The WBG is formed by adding a Beam Scan Controller (BSC) to a WiFi6 Access Point (AP).
The HFD is formed by adding a Fall Recognition Unit (FRU) to a WiFi6 client (Station).
And the AP at the WBG side performs directional probe beam scanning on a target environment at a specific time slot according to a certain period under the control of the BSC. And the Station at the HFD side is responsible for receiving the WiFi signal, obtaining a physical layer symbol through signal processing, and sending the physical layer symbol to the FRU for processing. And the FRU performs pattern recognition on the input signal and judges whether a falling event occurs. The human fall detector HFD and the WBG interact with each other via WiFi communication.
In one embodiment, the periodically scanning the target environment comprises, in one scanning cycle: a normal communication time slot and a beam scanning time slot independent of each other.
In a practical scenario, in order to improve the sensitivity and reliability of the system perception, the beam generator WBG adds a dedicated scanning time slot outside the normal communication process. In the beam scanning time slot, the AP is not used for normal WiFi communication services, that is, does not initiate various uplink and downlink communication services, and is only used as a detection signal source to perform directional beam transmission. The scanning period Tall and the beam scanning slot length Tscan are configured by the BSC to the AP.
As shown in FIG. 2C, which is a timing diagram of the normal traffic process and the beam sweep time slot, each period TallInner scanning once, TcomFor normal communication duration, TscanIs a scan duration. Sent out at each beam scanning time slot APThe beam is directed and the emitted signal is received and processed by the human fall detector HFD via either a direct-view path or an object-reflected path.
The existing sensing method is to detect the disturbance of human body activity to the normal communication activity of the WiFi network, and signal fluctuation caused by various factors, such as increase and decrease of access devices, change of device positions, change of communication rate, adjustment of transmitting beam direction, etc., may exist in the normal communication process, which all affect the accuracy of human body activity detection. In the embodiment, the normal communication service is suspended when the human body activity can be detected, so that the detection precision and reliability are improved.
The activity information monitoring method according to the embodiment of the present application is described in further detail below with reference to the drawings.
Please refer to fig. 3, which is a method for monitoring activity information according to an embodiment of the present application, where the method may be executed by the electronic device 1 shown in fig. 1 as an activity monitor, and may be applied in the scenario of the activity information monitoring system shown in fig. 2A-2C, so as to actively and periodically emit probe beams in different directions into a target environment to detect activity information of a moving object, thereby greatly reducing the problem of signal dead angles caused by uneven distribution of wireless signals, and improving reliability and accuracy of activity detection. The method comprises the following steps:
step 301: a plurality of probe beams are received from a beam generator for periodically scanning a target environment.
In this step, the beam directions of the multiple probe beams are different, and a moving object, which may be a human or an animal, is included in the target environment. Assume that the target environment is a room and the mobile object is an elderly person in the room. In order to monitor the activities of the elderly in real time, the room may be periodically scanned by a beam generator, i.e. a plurality of probe beams in different directions are periodically emitted into the room by the beam generator.
Step 302: and acquiring the current channel characteristics in the target environment according to the plurality of detection beams.
In this step, the probe beams are interfered by objects in the room during propagation in the room, and transmission paths through which the probe beams in different directions pass are different, so that after propagation, each probe beam received by the active detector has characteristics corresponding to a transmission channel in a respective direction, and the active detector can perform channel characteristic analysis on the received probe beams to obtain current channel characteristics corresponding to each probe beam.
Step 303: difference information between the current channel characteristics and the original channel characteristics within the target environment is determined.
In this step, the original channel characteristics are channel characteristics when no moving object is present within the target environment. That is, the original channel characteristics are the channel characteristics in the unmanned room, and the original channel characteristics when no person is in the room can be obtained by performing multiple periodic beam scans on the unmanned room in advance. Because the beam propagation process is interfered by an object on a propagation path, under the two conditions that a person exists in the same room and no person exists in the same room, the beam generator sends out the same detection beam for scanning, the propagation characteristics of the detection beam received by the activity detector are different, and the difference can be represented by the difference information between the current channel characteristic corresponding to the presence of the person in the room and the original channel characteristic information corresponding to the absence of the person in the room. Since the channel characteristics are obtained based on a specific beam scanning process in this embodiment, more accurate channel difference information can be obtained.
Step 304: and monitoring whether the moving object moves or not according to the difference information.
In this step, the behavior activity of the moving object in the room may be accurately characterized by the difference information between the current channel characteristic corresponding to the presence of a person in the room and the original channel characteristic information corresponding to the absence of a person in the room, and therefore, the behavior activity of the moving object in the target environment may be accurately detected by the channel characteristic difference information obtained based on the beam scanning.
According to the activity information monitoring method, the wave velocity generator periodically emits the detection wave beams in different directions into the target environment, then the channel characteristics of the received detection wave beams are compared with the original channel characteristics of the target environment, the difference information of the detection wave beams and the original channel characteristics is determined, and the activity information of the moving object is detected based on the difference information.
In an embodiment, taking a person as a moving object as an example, the human activity monitoring process can be divided into three stages: 1. a learning process of an unmanned environment. 2. Human activity tracking process. 3. And (5) a falling detection alarm process. The activity information monitoring method according to the embodiment of the present application is described in further detail below with reference to the drawings.
Please refer to fig. 4, which is a method for monitoring activity information according to an embodiment of the present application, and the method can be executed by the electronic device 1 shown in fig. 1 as an activity monitor, and can be applied to the scenes of the activity information monitoring system shown in fig. 2A-2C, so as to actively and periodically emit probe beams in different directions into a target environment to detect the activity information of a moving object, thereby greatly reducing the problem of signal dead angles caused by uneven distribution of wireless signals, and improving reliability and accuracy of activity detection. The method comprises the following steps:
step 401: a plurality of learning beams that periodically scan a target environment are received when no moving objects are present in the target environment.
In this step, the beam directions of the plurality of learning beams, which are beams emitted by the beam generator at a plurality of beam scanning time slots, are different, wherein a plurality of learning beams are emitted at each beam scanning time slot.
Firstly, a learning process of an unmanned environment is carried out, namely a process of familiarizing the activity information monitoring system to a wireless transmission channel of an unmanned room. Taking the activity information monitoring system as shown in fig. 2B as an example, before performing the periodic scanning, the WBG delivers the scanning beam (i.e. learning beam) parameters to the human fall detector HFD through the WiFi connection, and the delivered parameters at least include: 1. the number of scanning beams N. 2. The time slot Tscan start time is scanned. 3. The scan period length Tall. 4. The number m of scanning cycles required to complete a room scan, whereby the HFD can obtain in advance the number of beams emitted from each scanning slot AP and the direction of each beam.
The WiFi6 AP transmits using 20MHz bandwidth OFDMA (Orthogonal Frequency Division Multiple Access) signal as learning Beam in each scanning time slot, where the OFDMA signal includes N RUs (Resource units), each RU is composed of M subcarriers, and each RU transmits simultaneously using different Beam (Beam) direction.
Let the ith scanning time slot N beam directions be expressed as
All beam directions rotating in the next scanning time slot
The angle, i.e. the N beam directions of the i +1 th scanning slot, is denoted as
All beam directions of the next scanning time slot continue to rotate
Angle, so through m ═ K/N]The beam scanning of the whole room is completed after the scanning (which represents the rounding of K/N), and the Station unit of the human body falling detector HFD receives signals of N beams in each scanning.
And then, starting beam scanning on the whole room again, finishing beam scanning on the room after m scanning time slots, and repeating the steps continuously, wherein the purpose of adopting N beam scanning is to shorten the time for finishing beam scanning on the room.
The above K value is
The subdivided slave parameters are larger, the beam energy is more converged, and the scanning time is increased, so that the selection of K in an actual scene ensures that the scanning beam has enough strength, and the detection accuracy is ensured. The number of antennas of the actual WiFi AP may be determined according to the scanning beam width and the scanning direction adjustment capability, and the size of the target environment also needs to be considered.
Step 402: and acquiring original channel characteristics in the target environment according to the plurality of learning beams.
In this step, the fall-off detector HFD may perform channel feature analysis on the received learning beam to obtain the corresponding original channel feature of the room in the absence of human.
In an embodiment, step 402 may specifically include: and determining the corresponding transmission channel characteristics under each beam scanning time slot according to the channel state information corresponding to the plurality of learning beams, and taking the obtained channel characteristic set as the original channel characteristics in the target environment.
In this step, the Station unit of the fall detector HFD receives signals of N learning beams, each of which contains M subcarriers, for a total of N × M subcarriers. The demodulated symbols are processed by the FRU, and the CSI value of each subcarrier can be obtained, and is expressed by amplitude and phase, for example, the CSI of the kth subcarrier is expressed as:
wherein A iskIs the amplitude of the k-th subcarrier symbol, θkIs the phase of the subcarrier symbol.
N M CSI obtained from the FRU of the ith scanning time slot describes the wireless transmission channel characteristics of the time slot, and a transmission channel characteristic matrix h can be usediExpressed as:
wherein, CSIN,MChannel state information corresponding to the mth subcarrier of the nth scanned beam. Each row in the matrix represents the channel characteristics of one beam direction, which consists of M subcarrier CSI values for that beam, and the entire matrix represents the characteristics of the radio channels in the N beam directions at the i-th scan slot.
In the learning process of the unmanned environment, the beam scanning of the room is completed through m scanning time slots WBG, and then the wireless channel characteristics of the whole room can be represented as: hall＝{h1,h2,…hi…,hm}. The wireless channel characteristic matrix sequence is obtained by single room scanning, and in order to eliminate the influence of environmental background noise and temperature variation, a plurality of H can be obtained by a plurality of room scanningallSuch as
Then, the corresponding items of the matrixes are accumulated and averaged to realize noise reduction and filtering, and finally, the stable original channel characteristics of the room under the condition of no people are obtained
Wherein
Represents a pair hiThe average result of (2).
Step 403: a plurality of probe beams are received from a beam generator for periodically scanning a target environment.
In this step, the beam directions of the multiple probe beams are different, and a moving object, which may be a human or an animal, is included in the target environment. Assume that the target environment is a room and the mobile object is an elderly person in the room. In order to monitor the activities of the elderly in real time, the room may be periodically scanned by a beam generator, i.e. a plurality of probe beams in different directions are periodically emitted into the room by the beam generator. The beam transmission process and parameter setting can be learned in the same manner as above with reference to step 401.
Step 404: and acquiring the current channel characteristics in the target environment according to the plurality of detection beams. See the description of step 302 in the above embodiments for details.
In one embodiment, based on the example of step 402, the Station unit of the fall detector HFD receives signals of N learning beams, each of which comprises M subcarriers, for a total of N × M subcarriers. The current channel characteristics in the target environment may be calculated using equation (1) in the manner of calculating the original channel characteristics in step 402:
here, hiThe current channel characteristics corresponding to the multiple detection beams in the ith beam scanning time slot can be represented, N is the number of wave numbers of the multiple detection beams, and N is a positive integer. M is the number of subcarriers included in each sounding beam, and M is a positive integer. CSIN,MChannel state information corresponding to the mth subcarrier of the nth sounding beam.
Step 405: difference information between the current channel characteristics and the original channel characteristics within the target environment is determined. See the description of step 303 in the above embodiments for details.
In one embodiment, the difference information is an amplitude difference. Step 405 may specifically include: the amplitude difference was calculated using the following formula:
wherein, CSIp,jAnd in the ith beam scanning time slot, j ∈ (0, M) is the channel state information corresponding to the jth subcarrier of the pth sounding beam.
And average channel state information corresponding to the subcarrier of the p-th detection beam in the original channel characteristics under the ith beam scanning time slot. Delta. for the preparation of a coatingpFor the ith beam scan time slot,the amplitude difference between the current channel characteristic and the original channel characteristic in the p-th probe beam direction, i.e. the disturbance amplitude.
Step 406: and judging whether the maximum value of the difference information is larger than a preset threshold value or not. If yes, go to step 407.
In this step, a threshold Δ is presetHThe disturbance data of the wireless signal can be set based on the activity of the human body in the space in the actual scene, for example, based on an experience database, statistics is carried out on how large the disturbance amplitude of the wireless signal indicates that the human body moves, and the disturbance amplitude which can just represent the movement of the human body is used as a preset threshold value deltaH. δ in the formula (2)pRepresenting the disturbance amplitude of the p-th beam, the FRU unit of the HFD calculates the disturbance amplitude set [ delta ] of the N beams1,δ2,δ3…δNThe maximum value in the set is compared with a preset threshold value deltaHBy comparison, if the maximum value is greater than ΔHIf the person in the room moves, step 407 is entered, otherwise, the room does not move, and step 403 may be returned to continue the detection.
Step 407: the movement of the moving object is determined and the target beam direction is notified to the beam generator.
In this step, the target beam direction is the direction of the probe beam corresponding to the maximum value of the difference information, and if the maximum value in the set sequence is greater than a preset threshold ΔHAnd the WBG reports the target beam number corresponding to the maximum value. The WBG stops the current beam scanning process and starts the beam tracking process after receiving the message.
Step 408: a plurality of tracking beams emitted by a beam generator within a target environment are received.
In this step, the plurality of tracking beams includes at least: the target tracking system comprises a target wave beam in the direction of the target wave beam, a first tracking wave beam and a second tracking wave beam, wherein the direction included angle between the first tracking wave beam and the target wave beam is a first preset angle, and the direction included angle between the second tracking wave beam and the target wave beam is a second preset angle. The emission pattern of the tracking beam may refer to the emission pattern of the learned beam in step 401.
In one embodiment, 3 tracking beams are usedFor example, the AP divides OFDMA subcarriers into 3 RUs each containing M' subcarriers under the control of the BSC, and transmits the 3 RUs using different directional beams. 3 Beam Direction labels
Wherein
The target beam direction with the largest disturbance reported by the HFD is the direction,
namely the beam scanning step size when scanning an unmanned room,
is the direction of the first tracking beam,
the direction of the second tracking beam. Since the transmission energy of the AP is focused on the directional beam, a larger detection signal can be obtained when reflected and scattered by the human body.
Step 409: whether the moving object moves is determined according to the plurality of tracking beams.
In this step, continuous tracking of the direction of the body motion can be achieved using the 3 tracking beams in step 408. The energy of the tracking beam is converged in the directional direction, and a larger detection signal can be obtained when the tracking beam is reflected and scattered by a human body, so that whether the moving object moves or not can be accurately determined.
In an embodiment, step 409 may specifically include: and determining which direction of the plurality of tracking beams has the largest beam disturbance according to the channel state information corresponding to the plurality of tracking beams. And if the beam disturbance of the target beam is maximum, determining that the moving object does not move. And if the beam disturbance of the first tracking beam is maximum, determining that the moving object moves towards the direction of the first tracking beam. And if the beam disturbance of the second tracking beam is maximum, determining that the moving object moves towards the direction of the second tracking beam.
Specifically, the HFD receives signals of 3 beams, each beam includes M 'subcarriers, and the active detection matrix formed by 3 × M' CSI may be represented as:
the principle of equation (3) is the same as equation (1), where CSIN,M′Channel state information corresponding to the mth' subcarrier of the nth scanned beam, where N is 3.
The FRU of the HFD respectively calculates the disturbance amplitude delta of the 3 tracking beams by adopting the formula (2) according to the information of the formula (3)p(p is 1,2, 3). If delta2Maximum, meaning no movement of the detected body, the beam generator is informed to keep the current 3 tracking beam directions unchanged for the next scanning time slot, i.e.
If delta1Maximum, meaning that the angle of the human body is
The beam generator is informed of the next scanning slot 3 tracking beam direction adjustments to
If delta3Maximum, indicating the angle of the human body
The beam generator is informed of the adjustment of the direction of the tracking beam to 3 for the next scanning slot
In an embodiment, step 409 further includes: when the beam disturbance is not the target beam, a beam adjustment request is sent to the beam generator to cause the beam generator to emit the tracking beam in accordance with the beam disturbance that is the largest in the current beam in the next beam scanning slot.
That is, in the beam tracking process, if the direction of the tracking beam needs to be adjusted, the HFD sends a "beam adjustment request" message to the WBG, and the AP transmits 3 tracking beams in the new beam direction in the next scanning slot under the control of the BSC. The continuous tracking of the human body activity is realized through the beam adjusting method, and the AP always converges the transmitted energy in the moving direction of the human body, so that the signal received by the HFD has higher signal-to-noise ratio, and the reliability of the detection result of the system is improved.
Step 410: and when the moving rule of the moving object accords with the falling rule, giving an alarm.
In this step, if a fall event occurs, in several consecutive scanning time slots during the fall of the human body, the disturbance amplitude values δ of the 3 tracking beams of the matrix h' in the formula (3)pThe change (p is 1,2,3) shows a special rule, and 3 beam disturbance values delta of the matrix h' in the scanning time slot after falling downpAnd is below the threshold deltaLI.e. a situation that approaches the unmanned environment again. The FRU of HFD can identify the occurrence of a fall event through an artificial intelligence deep learning algorithm according to the above features, for example, the occurrence of a fall event can be identified through methods based on SVM (vector machine), standard deviation, signal intensity deviation, signal entropy, mean absolute deviation MAD, and the like. And then the HFD sends an alarm instruction to the WBG, and the WBG pushes alarm information to a remote server through the Internet to inform family members or nursing personnel of coming aid.
According to the activity information monitoring method, indoor human activity sensing is achieved through the WiFi6 wireless network, and falling events are found in time. Due to the use of directional beams for converging the transmitting power and the adoption of a beam tracking method, the activity detector can receive human body disturbance signals with higher signal-to-noise ratio. In addition, the special scanning time slot is used for detection, and various interferences generated in the communication process are eliminated. Therefore, compared with the existing WiFi sensing method, the scheme of the embodiment has higher sensitivity and reliability.
The following describes the activity information monitoring method in detail with reference to an example of an actual scenario:
suppose that the WiFi beam generator WBG is placed on one side of the house and the human fall detector HFD is placed on the other side of the wall opposite the AP. The AP of the WBG has 4 external antennas, the antenna spacing is 0.5 λ (λ is the wavelength of the radio frequency signal), and the antenna theory knows that the aperture L of the array is 2 λ, so that the 3dB lobe width of a single beam is:
in the process of learning the unmanned environment by adopting the manner from step 401 to step 402, the OFDM signal transmitted by the AP has a total of 234 subcarriers, which are divided into 6 RUs, each RU includes 39 subcarriers, and the 6 RUs use 6 different beam directions for transmission. Let the first learning beam direction of the ith time slot be phiiThen 6 learning beam directions are
Next scanning slot beam rotation
And completing wireless channel scanning of the whole room through 3 times of scanning to obtain the original channel characteristics in the house.
Then, according to the characteristics of human body activity, the scanning time slot setting mode shown in fig. 2C is combined to set the scanning period TallIs 500 ms, scans the slot length TscanIs 10 milliseconds. The parameters can be adjusted according to actual communication service flow, for example, when the old man is at home alone in the daytime, indoor WiFi communication services are less, more time can be allocated for beam scanning, the scanning period is shortened, and therefore the response speed and the accuracy of system detection are improved.
In the process of tracking human body activity in the manner of steps 408 to 409, 3 tracking beams are adopted, and the RU of each tracking beam includes 78 subcarriers. If 3 tracking beam disturbance amplitude values delta of matrix h' in several consecutive scanning time slotsp(p is 1,2,3) the change rule accords with the fall characteristics, and the beam disturbance amplitude value delta of the following scanning time slotpAnd if the current time is lower than the trigger threshold, determining that the human body falling event occurs. The alarm information sent by the HFD can be pushed to a remote server through the WBG to remind relevant people of coming rescue.
According to the activity information monitoring method, directional beams are periodically sent in a specific time slot through the WiFi6 AP, and the beam direction is adjusted in a stepping mode to complete room scanning. Since the transmission energy of the AP is focused on the directional beam, a larger detection signal can be obtained when reflected and scattered by the human body. In addition, the existing sensing method is to detect the disturbance of human body activity to the normal communication activity of the WiFi network, and signal fluctuation caused by various factors, such as increase and decrease of access devices, change of device positions, change of communication rate, adjustment of transmitting beam direction, etc., may exist in the normal communication process, which all affect the accuracy of human body activity detection. In the embodiment of the application, normal communication service is suspended when human body activity is detected, and a scanning time slot special for sensing and detecting is designed, so that external interference is prevented, and the detection precision and reliability are improved. Through the wireless environment learning process of beam scanning, the signal dead angle is eliminated, and the measurement quality of the whole room channel environment is improved. The indoor perception of current wiFi can be effectively solved not enough, utilizes the indoor human activity perception of wiFi6 network realization, effectively solves the nurse problem that the old man is at alone.
Please refer to fig. 5, which is an activity information monitoring apparatus 500 according to an embodiment of the present application, and the apparatus may be applied to the electronic device 1 shown in fig. 1, and may be applied to the activity information monitoring system scenes shown in fig. 2A to 2C, so as to detect activity information of a moving object by actively and periodically emitting detection beams in different directions into a target environment, thereby greatly reducing the signal dead angle problem caused by uneven distribution of wireless signals, and improving reliability and accuracy of activity detection. The device includes: the system comprises a first receiving module 501, a first obtaining module 502, a determining module 503 and a monitoring module 504, wherein the principle relationship of the modules is as follows:
the first receiving module 501 is configured to receive a plurality of probe beams that are periodically scanned by a beam generator on a target environment, where the plurality of probe beams have different beam directions and include a moving object in the target environment.
A first obtaining module 502, configured to obtain current channel characteristics in a target environment according to a plurality of probe beams.
A determining module 503, configured to determine difference information between the current channel characteristics and original channel characteristics in the target environment, where the original channel characteristics are channel characteristics when no moving object exists in the target environment.
And a monitoring module 504, configured to monitor whether the moving object moves according to the difference information.
In one embodiment, the periodically scanning the target environment comprises, in one scanning cycle: a normal communication time slot and a beam scanning time slot independent of each other.
In one embodiment, the method further comprises: a second receiving module 505, configured to receive a plurality of learning beams for periodically scanning the target environment when there is no moving object in the target environment before receiving the plurality of probe beams for periodically scanning the target environment, where beam directions of the plurality of learning beams are different. A second obtaining module 506, configured to obtain the original channel characteristics in the target environment according to the plurality of learning beams.
In one embodiment, the plurality of learning beams are beams emitted by the beam generator at a plurality of beam scanning time slots, wherein a plurality of learning beams are emitted at each beam scanning time slot. The second obtaining module 506 is configured to: and determining the corresponding transmission channel characteristics under each beam scanning time slot according to the channel state information corresponding to the plurality of learning beams, and taking the obtained channel characteristic set as the original channel characteristics in the target environment.
In one embodiment, the monitoring module 504 is configured to: and judging whether the maximum value of the difference information is larger than a preset threshold value or not. And when the maximum value of the difference information is larger than a preset threshold value, determining that the moving object moves, and informing a target beam direction to a beam generator, wherein the target beam direction is the direction of the detection beam corresponding to the maximum value of the difference information. A plurality of tracking beams emitted by a beam generator within a target environment are received. Whether the moving object moves is determined according to the plurality of tracking beams.
In one embodiment, the plurality of tracking beams comprises: the target tracking system comprises a target wave beam in the direction of the target wave beam, a first tracking wave beam and a second tracking wave beam, wherein the direction included angle between the first tracking wave beam and the target wave beam is a first preset angle, and the direction included angle between the second tracking wave beam and the target wave beam is a second preset angle. The monitoring module 504 is further configured to: and determining which direction of the plurality of tracking beams has the largest beam disturbance according to the channel state information corresponding to the plurality of tracking beams. And if the beam disturbance of the target beam is maximum, determining that the moving object does not move. And if the beam disturbance of the first tracking beam is maximum, determining that the moving object moves towards the direction of the first tracking beam. And if the beam disturbance of the second tracking beam is maximum, determining that the moving object moves towards the direction of the second tracking beam.
In one embodiment, the monitoring module 504 is further configured to: when the beam disturbance is not the target beam, a beam adjustment request is sent to the beam generator to cause the beam generator to emit the tracking beam in accordance with the beam disturbance that is the largest in the current beam in the next beam scanning slot.
In one embodiment, the first obtaining module 502 is configured to: the current channel characteristics within the target environment are calculated using the following formula:
wherein h isiAnd obtaining current channel characteristics corresponding to a plurality of detection beams in the ith beam scanning time slot, wherein N is the number of wave numbers of the plurality of detection beams, and N is a positive integer. M is the number of subcarriers included in each sounding beam, and M is a positive integer. CSIN,MChannel state information corresponding to Mth subcarrier of Nth sounding beam。
In one embodiment, the difference information is an amplitude difference. The determination module 503 is configured to: the amplitude difference was calculated using the following formula:
wherein, the CSIp,jAnd in the ith beam scanning time slot, j ∈ (0, M) is the channel state information corresponding to the jth subcarrier of the pth sounding beam.
And average channel state information corresponding to the subcarrier of the p-th detection beam in the original channel characteristics under the ith beam scanning time slot. DeltapAnd scanning the amplitude difference between the current channel characteristic and the original channel characteristic in the p-th detection beam direction in the ith beam scanning time slot.
For a detailed description of the activity information monitoring apparatus 500, please refer to the description of the related method steps in the above embodiments.
An embodiment of the present invention further provides a non-transitory electronic device 1 readable storage medium, including: a program that, when run on the electronic device 1, causes the electronic device 1 to perform all or part of the flow of the method in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like. The storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (13)
1. An activity information monitoring method, comprising:
receiving a plurality of probe beams of a periodic scanning target environment by a beam generator, wherein the beam directions of the plurality of probe beams are different, and a moving object is included in the target environment;
acquiring current channel characteristics in the target environment according to the plurality of detection beams;
determining difference information between the current channel characteristics and original channel characteristics within the target environment, wherein the original channel characteristics are channel characteristics in the absence of a moving object within the target environment;
and monitoring whether the moving object moves or not according to the difference information.
2. The method of claim 1, wherein during a scan cycle in which the target environment is periodically scanned, comprising: a normal communication time slot and a beam scanning time slot independent of each other.
3. The method of claim 1, further comprising, prior to said receiving a plurality of probe beams periodically scanning a target environment:
receiving a plurality of learning beams that periodically scan the target environment when no moving object is present in the target environment, wherein the plurality of learning beams have different beam directions;
and acquiring the original channel characteristics in the target environment according to the plurality of learning beams.
4. The method of claim 3, wherein the plurality of learning beams are beams emitted by the beam generator in a plurality of beam scanning time slots, wherein a plurality of the learning beams are emitted in each of the beam scanning time slots; the obtaining the original channel characteristics in the target environment according to the plurality of learning beams includes:
and determining the corresponding transmission channel characteristics under each beam scanning time slot according to the channel state information corresponding to the plurality of learning beams, and taking the obtained channel characteristic set as the original channel characteristics in the target environment.
5. The method of claim 1, wherein monitoring whether the moving object moves according to the difference information comprises:
judging whether the maximum value of the difference information is larger than a preset threshold value or not;
when the maximum value of the difference information is larger than the preset threshold value, determining that the moving object moves, and informing a target beam direction to the beam generator, wherein the target beam direction is the direction of the detection beam corresponding to the maximum value of the difference information;
receiving a plurality of tracking beams emitted by the beam generator within the target environment;
determining whether the moving object moves according to the plurality of tracking beams.
6. The method of claim 5, wherein the plurality of tracking beams comprises at least: a target wave beam in the direction of the target wave beam, a first tracking wave beam with a direction included angle with the target wave beam as a first preset angle, and a second tracking wave beam with a direction included angle with the target wave beam as a second preset angle; the determining whether the moving object moves according to the plurality of tracking beams includes:
determining which direction of the plurality of tracking beams has the largest beam disturbance according to the channel state information corresponding to the plurality of tracking beams;
if the beam disturbance of the target beam is maximum, determining that the moving object does not move;
if the beam disturbance of the first tracking beam is maximum, determining that the moving object moves towards the direction of the first tracking beam;
and if the beam disturbance of the second tracking beam is maximum, determining that the moving object moves towards the direction of the second tracking beam.
7. The method of claim 6, wherein said determining whether said moving object is moving from said plurality of tracking beams further comprises:
and when the beam disturbance is not the target beam with the maximum beam disturbance, sending a beam adjustment request to the beam generator so that the beam generator emits a tracking beam according to the beam with the maximum beam disturbance at the next beam scanning time slot.
8. The method of claim 1, wherein said obtaining current channel characteristics within said target environment from said plurality of probe beams comprises:
calculating said current channel characteristics within said target environment using the formula:
wherein h isiThe current channel characteristics corresponding to the plurality of detection beams in the ith beam scanning time slot are obtained, wherein N is the number of wave numbers of the plurality of detection beams, and N is a positive integer; m is the number of subcarriers included in each sounding beam, and M is a positive integer; CSIN,MAnd the channel state information corresponds to the mth subcarrier of the nth sounding beam.
9. The method of claim 8, wherein the difference information is an amplitude difference; said determining difference information between said current channel characteristics and original channel characteristics within said target environment, comprising:
the amplitude difference is calculated using the following formula:
wherein, CSIp,jChannel state information corresponding to the jth subcarrier of the pth detection beam in the ith beam scanning time slot, wherein j belongs to (0, M);
average channel state information corresponding to a subcarrier of a p-th sounding beam in the original channel characteristics at an ith beam scanning time slot; deltapThe amplitude difference between the current channel characteristic and the original channel characteristic in the p-th probe beam direction at the i-th beam scanning time slot.
10. An activity information monitoring device, comprising:
the device comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a plurality of detection beams which are used for periodically scanning a target environment by a beam generator, the beam directions of the plurality of detection beams are different, and a moving object is included in the target environment;
a first obtaining module, configured to obtain, according to the multiple sounding beams, a current channel characteristic in the target environment;
a determining module, configured to determine difference information between the current channel characteristics and original channel characteristics in the target environment, where the original channel characteristics are channel characteristics when no moving object exists in the target environment;
and the monitoring module is used for monitoring whether the mobile object moves or not according to the difference information.
11. An activity information monitoring system, comprising:
a beam generator for periodically emitting a plurality of probe beams to a target environment, wherein the plurality of probe beams have different beam directions and a moving object is included in the target environment;
an activity detector installed in the target environment for receiving the plurality of probe beams and monitoring whether the moving object moves by using the activity information monitoring method according to any one of claims 1 to 9.
12. An electronic device, comprising:
a memory to store a computer program;
a processor to execute the computer program to implement the method of any one of claims 1 to 9.
13. A non-transitory electronic device readable storage medium, comprising: program which, when run by an electronic device, causes the electronic device to perform the method of any one of claims 1 to 9.
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