CN112749586B

CN112749586B - User identification method and system

Info

Publication number: CN112749586B
Application number: CN201911042697.8A
Authority: CN
Inventors: 王紫圣豪; 马永墩; 韩昌英; 谢培杰; 王淳锋
Original assignee: Xiamen Lidaxin Digital Education Technology Co ltd
Current assignee: Xiamen Lidaxin Digital Education Technology Co ltd
Priority date: 2019-10-30
Filing date: 2019-10-30
Publication date: 2023-08-11
Anticipated expiration: 2039-10-30
Also published as: CN112749586A

Abstract

The application provides a user identification method and a system, which are suitable for the technical field of safety monitoring, wherein the method comprises the following steps: the plurality of sensors respectively detect the space distance between the sensors and the human body, and send the detected space distance to the terminal equipment by taking the first frequency as a period; the terminal equipment identifies the local space of the human body in the space region when the plurality of space distances are received each time according to the space position of each sensor and the plurality of space distances received each time; drawing a moving path corresponding to the human body based on the identified multiple local spaces, and identifying whether the human body is a legal user according to the moving path. The embodiment of the application does not need to acquire personal privacy information such as the face of the user, and has extremely high safety and reliability compared with video monitoring.

Description

User identification method and system

Technical Field

The application belongs to the technical field of safety monitoring, and particularly relates to a user identification method and system.

Background

The current indoor monitoring is based on a camera to perform video monitoring, so that although the indoor safety monitoring can be realized to a certain extent, on one hand, the daily work life of a legal user can be shot, the privacy of the legal user can be difficult to ensure in the era that the event of the camera being cracked frequently, and on the other hand, the illegal user can directly disable the video monitoring by shielding the camera, so that the current indoor monitoring method cannot ensure the privacy of the user and has lower safety and reliability of monitoring.

Disclosure of Invention

In view of this, the embodiment of the application provides a user identification method and a system, which can solve the problems of indoor monitoring safety and reliability.

A first aspect of an embodiment of the present application provides a user identification method, including:

the method comprises the steps that a plurality of sensors respectively detect the space distance between the sensors and a human body, and send the detected space distance to terminal equipment with a first frequency as a period, wherein the sensors are respectively arranged at different space positions in a space area;

the terminal equipment identifies a local space in which the human body is located in the space area each time a plurality of spatial distances are received according to the spatial positions of the sensors and the spatial distances received each time, wherein the local space comprises at least one spatial position;

and the terminal equipment draws a moving path corresponding to the human body based on the identified multiple local spaces and identifies whether the human body is a legal user or not according to the moving path.

In a first possible implementation manner of the first aspect, each of the sensors is configured to detect a human body at the spatial location where the sensor is located, where a plurality of the sensors include a first sensor, a second sensor, and a third sensor, where the first sensor is a sensor that detects a human body, a distance between the second sensor and the first sensor is smaller than a distance between the third sensor and the first sensor, and the plurality of sensors respectively detect spatial distances between the sensor and the human body, including:

The first sensor acquires a first distance and takes the first distance as a space distance between the first sensor and a human body;

the first sensor generates an intensity signal and broadcasts the generated intensity signal, wherein the generated intensity signal carries an intensity parameter with a value of a preset size;

the second sensor reduces the value of the intensity parameter carried by the received intensity signal when receiving the intensity signal broadcast by the first sensor, and broadcasts the intensity signal with the reduced value of the intensity parameter;

when the second sensor does not detect a human body, identifying the space distance between the second sensor and the human body according to the received intensity parameter in the intensity signal broadcast by the first sensor to obtain a second distance;

when the third sensor does not detect a human body, calculating sensor distances corresponding to the received intensity signals broadcast by the first sensor and the second sensor respectively, and taking an intensity signal corresponding to the minimum sensor distance as a target response signal;

and the third sensor identifies the space distance between the third sensor and the human body according to the intensity parameter in the target response signal to obtain a third distance, wherein the first distance is smaller than the second distance is smaller than the third distance.

In a second possible implementation manner of the first aspect, the second sensor reduces a value of an intensity parameter carried by the received intensity signal, including:

searching a decrementing value corresponding to the value of the intensity parameter carried by the received intensity signal;

and updating the value of the intensity parameter carried by the received intensity signal by utilizing the difference value of the intensity parameter carried by the received intensity signal and the corresponding decreasing value to obtain the intensity signal after the value of the intensity parameter is decreased, wherein the value of the intensity parameter and the decreasing value are in negative correlation.

In a third possible implementation manner of the first aspect, on the basis of the first possible implementation manner, the second sensor reduces a value of an intensity parameter carried by the received intensity signal, and broadcasts the intensity signal after the value of the intensity parameter is reduced, including:

and reducing the value of the intensity parameter carried by the received intensity signal, and broadcasting the intensity signal after reducing the value of the intensity parameter only when the value of the intensity parameter after reduction is larger than the intensity threshold value.

In a fourth possible implementation manner of the first aspect, on the basis of the first possible implementation manner, the calculating, by the third sensor, a sensor distance corresponding to the received intensity signals broadcast by the first sensor and the second sensor, includes:

And calculating quality parameters corresponding to each received intensity signal respectively, and searching for a sensor distance corresponding to the quality parameters to obtain the sensor distance corresponding to each intensity signal respectively.

In a fifth possible implementation manner of the first aspect, the third sensor uses an intensity signal corresponding to a minimum sensor distance as a target response signal, including:

and if a plurality of minimum sensor distances exist, screening out the intensity signals corresponding to all the minimum sensor distances, carrying the intensity signal with the maximum value of the intensity parameter, and taking the screened intensity signal as the target response signal.

In a sixth possible implementation manner of the first aspect, on the basis of the first possible implementation manner to the fourth possible implementation manner, the identifying whether the human body is a legal user according to the movement path includes:

identifying a time period in which the current moment is located, and carrying out path inquiry on a user database based on the obtained time period to obtain a plurality of legal paths corresponding to a plurality of legal users, wherein the user database is recorded with the plurality of legal users and one or more legal paths corresponding to each legal user respectively under different time periods;

Carrying out path matching on a plurality of legal paths by utilizing the moving paths;

if the path matching fails, judging that the human body is an illegal user.

A second aspect of an embodiment of the present application provides a user identification system, including: a plurality of sensors and a terminal device, wherein each sensor is respectively arranged at different spatial positions in a spatial region;

the sensors are used for respectively detecting the space distance between the sensors and the human body, and sending the detected space distance to the terminal equipment by taking the first frequency as a period;

the terminal equipment is used for identifying a local space in which the human body is located in the space area each time a plurality of the space distances are received according to the space position of each sensor and the plurality of the space distances received each time, wherein the local space comprises at least one space position;

the terminal equipment is also used for drawing a moving path corresponding to the human body based on the identified multiple local spaces and identifying whether the human body is a legal user or not according to the moving path.

Compared with the prior art, the embodiment of the application has the beneficial effects that: the periodic detection of the space distance between the sensors and the human body of the user is carried out through the plurality of sensors distributed at different space positions in the space region, then the local space where the human body of the user is located at each time can be determined according to the space distance between each detected sensor and the human body of the user and the specific space position of each actual sensor in the space region, further periodic detection refreshing of the actual position of the user can be realized, finally, the moving path of the human body of the user can be drawn based on the specific local spaces, and as the moving path of each legal user in the indoor space is regular, the identification detection is carried out based on the actually identified moving path, and whether the user is the legal user at present can be accurately identified. The embodiment of the application does not need to acquire personal privacy information such as the face of the user, and meanwhile, because the number and the installation position of the sensors are extremely flexible, even if a part of the sensors are shielded or destroyed by illegal persons, the embodiment of the application can still realize effective drawing of the moving path, so that the safety and the reliability of the embodiment of the application are extremely high compared with video monitoring.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1A is a schematic flow chart of an implementation of a user identification method according to a first embodiment of the present application;

fig. 1B is a schematic diagram of a spatial location distribution of a sensor in a user identification method according to an embodiment of the present application;

fig. 1C is a schematic diagram of a spatial location distribution of a sensor in a user identification method according to an embodiment of the present application;

fig. 2 is a schematic flow chart of an implementation of a user identification method according to a second embodiment of the present application;

fig. 3 is a schematic flow chart of an implementation of a user identification method according to a third embodiment of the present application;

fig. 4 is a schematic flowchart of an implementation of a user identification method according to a fourth embodiment of the present application;

fig. 5 is a schematic implementation flow chart of a user identification method provided in a ninth embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

In order to illustrate the technical scheme of the application, the following description is made by specific examples.

In order to facilitate understanding of the application, the embodiment of the application is briefly described herein, because the indoor video monitoring is performed, on one hand, for legal users, daily work and life of the legal users can be shot, the privacy of the legal users can be difficult to be ensured in the era that events are frequently broken by the camera, on the other hand, the illegal users can directly disable the video monitoring by shielding the camera, so that the current indoor monitoring method cannot ensure the privacy of the users, and meanwhile, the safety and reliability of the monitoring are lower.

In order to improve the safety and reliability of indoor monitoring, the embodiment of the application firstly sets the sensors at each space position in the space region to be monitored, periodically detects the space distance between each sensor and the user body through a plurality of sensors distributed at different space positions in the space region, then determines the local space where each user body is located according to the space distance between each detected sensor and the user body and the specific space position of each sensor in the space region, further realizes periodic detection and refreshing of the actual position of the user, and finally draws the moving path of the user body based on a plurality of specific local spaces. The embodiment of the application does not need to acquire personal privacy information such as the face of the user, and meanwhile, because the number and the installation position of the sensors are extremely flexible, even if a part of the sensors are shielded or destroyed by illegal persons, the embodiment of the application can still realize effective drawing of the moving path, so that the safety and the reliability of the embodiment of the application are extremely high compared with video monitoring.

Meanwhile, some terms possibly related to the embodiments of the present application are explained as follows:

the sensor in the embodiment of the present application refers to a sensor device having a human body detection function, a certain data processing function and a data transmission function, and a specific hardware form of the sensor is not limited herein, and may be set by a technician according to actual scene requirements, including but not limited to devices such as a microwave sensor and an infrared sensor. The data transmission function refers to the capability of broadcasting and receiving the intensity signal.

The strength signal is a signal generated and broadcast by a sensor detecting a human body and forwarded by a received sensor, and is used for transmitting a strength parameter and informing a receiving end sensor of the distance between the receiving end sensor and the sensor at the broadcasting end, and specific signal format, signal emission strength and other attribute values of the strength signal can be set by technicians according to the actual application requirements, and are not limited herein.

The strength parameters are attached to the parameters of the strength signal transmission, each strength parameter has a specific parameter value, when the sensor detecting the human body generates the strength signal, the strength parameter with the parameter value being the default value is generated and broadcast, and the received sensor carries out the broadcast forwarding after the strength parameter value is attenuated. The intensity parameter value is used for detecting the distance between the human body and the sensor, the specific size of the default value can be set by the technician at will, but is not limited herein,

The terminal device in the embodiment of the application refers to a hardware device with certain data processing capability and data transmission capability, wherein the certain data processing capability refers to that sensor data can be processed to identify local space where a human body is located in a space area and draw a moving path, and the data transmission capability refers to that the space distance data transmitted by the sensor can be received. The specific device type of the terminal device is not limited herein, and may be selected or designed by a technician according to actual requirements, so long as the data processing capability and the data transmission requirement capability are satisfied, for example, the terminal device may be a server, a personal computer, or a mobile terminal such as a mobile phone and a tablet computer.

Also, it should be noted that, in the description of the present specification and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance. It will also be understood that, although the terms "first," "second," etc. may be used herein in some embodiments of the application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first sensor may be named a second sensor, and similarly, a second sensor may be named a first sensor without departing from the scope of the various described embodiments. The first sensor and the second sensor are both sensors, but they are not the same sensor.

The following explanation of the embodiment of the present application is given by the implementation flow of user identification between the sensor and the terminal device, and the workflow of user identification by the user identification system formed by the sensor and the terminal device together, which are described in detail as follows:

fig. 1A shows a flowchart of an implementation of a user identification method according to an embodiment of the present application, which is described in detail below:

s101, a plurality of sensors respectively detect the space distance between the sensors and a human body, and send the detected space distance to terminal equipment by taking a first frequency as a period, wherein each sensor is respectively arranged at different space positions in a space region.

In the embodiment of the application, the space area refers to a space required to be monitored safely, and according to different practical application scenes, the size, shape and other attributes of the space area can also have certain differences, for example, the space area can be a smaller indoor room or a public place which contains a plurality of subspaces, such as a whole company and the like. In the embodiment of the application, a plurality of spatial positions are selected in advance in a spatial region, and sensors are installed at all the spatial positions, wherein the embodiment of the application does not set a specific spatial position selection method, a technician can select specific spatial position quantity, density, respective conditions and the like according to actual requirements, for example, refer to fig. 1B, wherein a black rectangular frame is a spatial region, each black point is a selected spatial position, 36 spatial positions in array arrangement are set at the moment, and other arrangement modes can be set.

Meanwhile, it should be understood that, in the embodiment of the present application, the sensor does not only detect a point without volume (the human body is an object with a certain volume, instead of a point without volume), and the output device outputs the somatosensory signal, and does not only output the somatosensory signal to a point without volume, so that the spatial position is not a point without volume, but is a smaller space in the spatial area, that is, the embodiment of the present application can divide the whole spatial area into a plurality of smaller spaces by selecting a plurality of spatial positions, for example, refer to fig. 1C, and the 36 spatial positions corresponding to the sensor on the basis of the corresponding example in fig. 1B actually divide the spatial area into 36 smaller spaces (that is, each small black rectangular frame in fig. 1C).

On the basis of selecting each spatial position point in the spatial area and pre-installing the sensors, each sensor in the embodiment of the application can acquire the spatial distance between itself and the human body, wherein a specific spatial distance acquisition method can be selected or set by a technician according to different types and actual requirements of the selected specific sensor, for example, when a sensor device capable of identifying the human body and measuring distance is selected, such as an infrared sensor, the sensor can directly identify and measure distance of the human body, and when a sensor device capable of identifying only the human body is selected, a corresponding distance measurement method is required to be set to realize calculation of the spatial distance of the human body, for example, three to eight embodiments of the application can be referred to.

After each sensor acquires the spatial distance between the sensor and the human body, the acquired spatial distance is sent to the terminal equipment at a first frequency for subsequent processing. The first frequency is a refresh frequency for monitoring a human body, and the higher the first frequency is, the better the monitoring effect is, but the higher the processing load of the terminal equipment is, the higher the cost is, and the specific value of the first frequency is not limited in the embodiment of the application, and can be set by a technician according to actual requirements, for example, can be set to any value of 1 time/second to 20 times/second. Meanwhile, according to different network conditions of actually selected terminal equipment and actual application scenes, the sensors and the terminal equipment can be in communication connection in a wired mode or in a wireless mode, corresponding data transmission interaction is carried out, when the terminal equipment is in communication connection in a wireless mode, the terminal equipment only needs to be paired with each sensor and each output device in advance, and the mobile terminal is used as the terminal equipment in the embodiment of the application and is in communication connection with the sensors in a wireless network mode due to the fact that the calculation capacity of the existing mobile terminal is increasingly strong.

S102, the terminal equipment identifies a local space in which a human body is located in a space area when a plurality of spatial distances are received each time according to the spatial positions of the sensors and the plurality of spatial distances received each time, wherein the local space comprises at least one spatial position.

In the embodiment of the present application, the local space refers to a space formed by spreading a distance outward around the actual position of the individual human body in the space area, the local space is the minimum positioning unit for the human body when the moving path is drawn in the embodiment of the present application, and the size of the local space has a great influence on the accuracy of drawing the moving path (see the related description of S103 for details), so the specific value of the spreading distance needs to be set by a technician according to the actual requirement, and is not limited herein, for example, may be set to 0.5 meters.

After receiving a plurality of space distances, the terminal equipment can draw a space distance distribution diagram between each space position in the space area and the human body according to the space position of the sensor in the space area and the space distance between each sensor and the human body, then screen out the space position of the sensor corresponding to the minimum space distance, and finally screen out the local space corresponding to the human body according to the preset diffusion distance, for example, the diffusion distance is assumed to be 0.5 m, and at the moment, all the space positions with the space distance of the human body in the range of 0.5 m need to be screened out by taking the space position of the human body as the center, so that the local space corresponding to the human body is formed.

The spatial positions of the sensors in the spatial area may be recorded in the terminal device in advance, for example, when the terminal device is paired with each sensor, the sensor automatically transmits the spatial positions of the sensors to the terminal device for recording, or a technician manually records the spatial positions of the sensors in the terminal device in advance, or the sensor transmits the spatial positions of the sensors together while transmitting the spatial distance data to the terminal device each time, which is not limited in this regard.

S103, the terminal equipment draws a moving path corresponding to the human body based on the identified multiple local spaces, and identifies whether the human body is a legal user according to the moving path.

After the local space positions of the user at different time points are identified, the corresponding moving path of the human body can be obtained by communicating the local spaces in the space region map according to the time point sequence.

Because the moving paths of all legal users in the indoor space have a certain rule, for example, in a company, the moving ranges of common staff are generally connected in different sequences in stations, conference rooms, rest rooms, toilets and the like, the corresponding moving paths are not generally connected to offices of a general manager or storage rooms of cleaning staff, and therefore, for a fixed space area, the legal moving paths of all legal users in the space area can be predicted theoretically, in the embodiment of the application, the legal moving paths of all legal users in the space area are stored in advance, path matching is performed after the moving paths corresponding to a human body are drawn, and if the matching fails, the human body is not the legal user in the space area, so that effective identification of illegal users is realized. The embodiment of the application does not limit a path matching method specifically used, and the path matching method can be set by a technician according to actual demands, for example, the path matching can be performed, or the matching can be performed on some key areas involved in the path, for example, the key areas such as a station, a meeting room, a material storage room, a total manager office and a financial office are included in the moving path of a company, if all legal moving paths corresponding to the company are detected to not include the paths of the key areas at the same time, the moving path of the human body is illegal, namely, the human body is illegal user, wherein the key areas can be set and marked by the technician according to the actual space area condition.

It should be noted that, in order to ensure accuracy of user identification in practical situations, a large number of sensors are required to be used in the embodiment of the application, meanwhile, in order to ensure concealment of the sensors to prevent illegal users from being maliciously destroyed, and ensure that the installed sensors cannot influence normal life and work of legal users, the installation position of the sensor in the embodiment of the application is generally set to be a ceiling or other positions which are far away from the users and relatively concealed, and in order to ensure that sampling accuracy of the commonly used sensors is low when the distance from the users is far, and sampling processing frequency of terminal equipment is generally not very high, at this time, if a spatial position detected by a single sensor is a minimum positioning unit of a human body, accuracy of detection of the single sensor is difficult to be ensured, so that a drawn moving path is low, and in case that a user moves quickly, a detection error of the single sensor is directly used as a minimum positioning unit of the human body, so that a moving path is amplified and has low reliability. Based on the above reasons, in order to avoid the situation that the path drawing is inaccurate caused by the error detected by a single sensor, in the embodiment of the application, the path drawing is performed by taking the local space where the human body is located as the minimum positioning unit of the human body, so that the position of the human body obtained each time is a region where the human body is located, further the influence of the detection result of the single sensor on the drawing of the moving path is weakened, and the accuracy of the drawn path is improved, namely, the moving path drawn by the embodiment of the application is not a line segment, but a path with a certain width (namely, twice the diffusion distance).

As an embodiment of the present application, considering that there may be multiple human bodies in the spatial area at the same time in the actual situation, in order to ensure that the moving paths of the human bodies are accurately drawn separately, in the embodiment of the present application, the process of drawing the local space and the moving paths of the human bodies includes:

and identifying all human bodies contained in the space region according to the space position of each sensor and a plurality of space distances received each time, and respectively identifying the local space in the space region for each human body.

And drawing a moving path corresponding to each human body based on the plurality of local spaces corresponding to each identified human body.

In the embodiment of the application, after each received spatial distance, according to the spatial position of the sensor in the spatial region and the spatial distance between each sensor and the human body, a spatial distance distribution diagram between each spatial position in the spatial region and the human body can be drawn, then the contour line drawing of the spatial distance is carried out, a spatial distance contour line map corresponding to the spatial region can be obtained, finally the number of the minimum spatial distances specifically contained in the contour line map is identified, the number of the human bodies specifically contained in the spatial region can be obtained, and different human bodies can be distinguished. After different human bodies are distinguished, the moving paths of the human bodies are respectively drawn, so that the accurate distinguishing and drawing of the moving paths of the different human bodies can be realized.

As another embodiment of the application, for a scene with a large number of active persons in an original space area, such as a public office area of a company, the embodiment of the application does not acquire user privacy information such as faces, so that the distinguishing and identifying ability of different human bodies is poor.

In order to improve the safety and reliability of indoor monitoring, the embodiment of the application firstly sets the sensors at each space position in the space region to be monitored, periodically detects the space distance between each sensor and the user body through a plurality of sensors distributed at different space positions in the space region, then determines the local space where each user body is located according to the space distance between each detected sensor and the user body and the specific space position of each sensor in the space region, further realizes periodic detection and refreshing of the actual position of the user, and finally draws the moving path of the user body based on a plurality of specific local spaces. The embodiment of the application does not need to acquire personal privacy information such as the face of a user, and meanwhile, as the number and the installation position of the sensors are extremely flexible, the sensor can be installed above a ceiling, for example, compared with video monitoring, the embodiment of the application can realize real traceless monitoring and abnormal recognition, and meanwhile, even if a part of the sensors are shielded or destroyed by illegal persons, the embodiment of the application can still realize effective drawing of a moving path, so that the safety and the reliability of the embodiment of the application are extremely high compared with video monitoring.

As an embodiment of the present application, when the terminal device identifies that the human body is an illegal user in S103, the embodiment of the present application further sends the drawn moving path to a preset receiving device, for example, a computer such as a guard room or a monitoring room, to display the moving path, and sends an alarm to the receiving device to inform the receiving device that the illegal user exists in the space area at the moment.

As a specific implementation manner of user identification based on a moving path in the first embodiment of the present application, considering that even the same user may have different authority changes in different periods in actual situations, so that the corresponding activity range and the corresponding legal moving path of the user may change, for example, for some workplaces with higher security levels, such as a research institute, common staff is allowed to enter and exit each area in the workplace in a normal working period, but is not allowed to enter the workplace in a non-working period, such as at night, so that in order to ensure accurate identification of illegal users, in the second embodiment of the present application, legal paths of the legal users are further stored in advance according to the time periods, so as to obtain a corresponding user database, and the user database is used as a matching object, so as to improve identification accuracy, as shown in fig. 2, the operation of user identification based on the moving path in the second embodiment of the present application is specifically as follows:

S201, identifying a time period in which the current moment is located, and carrying out path query on a user database based on the obtained time period to obtain a plurality of legal paths corresponding to a plurality of legal users, wherein the user database is recorded with the plurality of legal users and one or more legal paths corresponding to each legal user respectively in different time periods.

As can be seen from the above description, in the embodiment of the present application, legal paths corresponding to each legal user in different time periods are stored in advance in the user database, so that after a moving path corresponding to a human body is drawn, the embodiment of the present application identifies a time period in which a current time is located, and then searches all legal paths corresponding to each legal user in the time period, so as to serve as objects for matching subsequent paths. The specific dividing rule of the time period can be set by a technician according to the user authority control condition of the specific space region, and can be divided into a working time period (8:30-19:00) and a rest time period (19:01-8:29) for example.

S202, performing path matching on a plurality of legal paths by using the moving paths.

The embodiment of the application can match each searched legal path one by utilizing the drawn moving path so as to judge whether a path which is matched successfully corresponds to the path. The embodiment of the present application is not limited to a specific path matching method, and may be set by a technician according to actual needs, or refer to the related description of the first embodiment of the present application.

And S203, if the path matching fails, judging that the human body is an illegal user.

If no path which can be matched with the drawn moving path exists in the searched legal paths, the drawn moving path is not the path generated by the movement of the legal user, namely the human body is an illegal user, so that the embodiment of the application can directly judge the human body as the illegal user, thereby realizing the accurate identification of the illegal user.

As a specific implementation manner of the sensor in the first embodiment of the present application for obtaining the distance from the human body, considering that the ranging sensor has higher requirements on the spatial position, the installation angle, and the like of the sensor arrangement, in the third embodiment of the present application, a sensor capable of ranging is not adopted, that is, a sensor capable of detecting the human body is adopted, that is, each sensor is used for detecting the human body at the spatial position of the sensor itself, where the embodiment of the present application does not limit the type of the sensor specifically used, and the sensor capable of detecting the human body can be selected or set by a technician according to actual needs, and any sensor capable of detecting the human body can be selected theoretically as the sensor in the embodiment of the present application, including, but not limited to, an infrared sensor, a temperature sensor, a microwave sensor, and the like.

As shown in fig. 3, based on the first embodiment or the second embodiment of the present application, the third embodiment of the present application includes three types of sensors, including a first sensor, a second sensor, and a third sensor, where the first sensor is a sensor that detects a human body at a spatial position, a distance between the second sensor and the first sensor is smaller than a distance between the third sensor and the first sensor, and the specific steps of each sensor obtaining a distance between the first sensor and the human body include:

s301, the first sensor acquires a first distance and takes the first distance as a space distance between the first sensor and a human body.

In the embodiment of the application, according to different selected sensor types and different set detection methods, a certain difference exists in the mode that the sensor judges whether the space position has a human body, for example, the sensor is an infrared sensor, the detection method judges that the space position has a human body as long as the temperature is within a set human body temperature range, and the human body can be judged to exist in the space position as long as the temperature in the space position is detected to be within the set human body temperature range.

Since the first sensor is a sensor for detecting a human body, that is, indicates that a human body exists in a spatial position where the first sensor is located, in the embodiment of the present application, a spatial distance corresponding to the first sensor is directly set to a first distance with a preset size, where a specific value of the first distance may be set by a technician, but it should be ensured that the first distance is a minimum value within a range of available values of the spatial distance, for example, may be set to 0 meters.

S302, a first sensor generates an intensity signal and broadcasts the generated intensity signal, wherein the generated intensity signal carries an intensity parameter with a value of a preset size.

For the first sensor with the human body at the space position, an initial intensity signal containing the intensity parameter is generated as a signal source, and the generated initial intensity signal is broadcasted to other sensors, so that the other sensors are informed that the space distance between the first sensor and the human body is the minimum value.

S303, when the second sensor receives the intensity signal broadcast by the first sensor, the second sensor reduces the value of the intensity parameter carried by the received intensity signal, and broadcasts the intensity signal with the reduced value of the intensity parameter.

The second sensor is a sensor closer to the first sensor, so that the second sensor receives the intensity signal of the first sensor first, at this time, the second sensor serves as a signal repeater to attenuate the intensity parameter value of the received intensity signal, and broadcasts the intensity signal after the attenuation of the intensity parameter value to other sensors, so that the intensity signal is attenuated as the number of times of propagation and the distance of propagation increase after the broadcasting of the signal source.

And S304, when the second sensor does not detect the human body, identifying the space distance between the second sensor and the human body according to the intensity parameter in the intensity signal broadcast by the first sensor, and obtaining a second distance.

On the other hand, for the second sensor that does not detect the human body, since the initial value of the intensity parameter and the value of each attenuation are known, and the spatial distance of each sensor in the spatial region is also known, the embodiment of the present application calculates the number of propagation times according to the value of the intensity parameter in the received intensity signal broadcast by the first sensor, so as to calculate the spatial distance between the first sensor and the human body, and further calculate the spatial distance between the first sensor and the human body.

And S305, when the third sensor does not detect the human body, calculating the sensor distances corresponding to the received intensity signals broadcast by the first sensor and the second sensor respectively, and taking the intensity signal corresponding to the smallest sensor distance as a target response signal.

In the embodiment of the present application, the sensor distance may be a specific value, for example, 1 meter, 2 meters, or only one distance level, for example, a first distance level, a second distance level, or the like, and may be specifically set by a technician according to actual needs, for example, when the selected sensor distance calculation method is more accurate, a specific value may be directly used as the sensor level, and when the calculation method is less accurate, the actual distance may be classified in advance and the corresponding distance level may be calculated.

As can be seen from the foregoing description, in the embodiment of the present application, the sensors that detect the human body are included as the signal sources to generate and broadcast the initial intensity signals, and all the sensors also perform attenuation and broadcast forwarding of the intensity parameter values of the received intensity signals, so that the spatial distance between the sensors and the human body can be theoretically calculated according to the intensity parameter values carried by the received intensity signals. Meanwhile, considering the situation that a plurality of different spatial positions in a spatial region exist simultaneously in practical application, in theory, for the sensors with different distances from the human bodies, a plurality of different spatial distances exist, and when the single sensor screens the intensity parameter value for carrying out spatial distance judgment, if the single sensor directly carries out processing according to the received minimum intensity parameter value, the subsequent selection error on the human body object to be monitored actually can be caused, and further the user identification of the user can not be normally carried out.

In order to accurately judge the space distance between the sensor and the human body and prevent the situation of user identification errors under the condition that a plurality of human bodies exist, for the third sensor which receives a plurality of intensity signals simultaneously, the embodiment of the application calculates the sensor distance between each sensor serving as a broadcasting end and the third sensor based on the intensity signals, and screens out an intensity signal corresponding to the minimum sensor distance as a target response signal so as to determine the intensity signal and a specific intensity parameter value which the third sensor actually responds to in the embodiment of the application.

S306, the third sensor recognizes the space distance between the third sensor and the human body according to the intensity parameter in the target response signal, and obtains a third distance, wherein the first distance is smaller than the second distance.

After determining the intensity signal of the actually required response, the embodiment of the application directly reads the carried intensity parameter value, and because the initial intensity parameter value and the attenuation value are all known data, the propagation times of the target response signal can be calculated based on the intensity parameter value, and meanwhile, the space distance between each sensor is also known data, so that the space distance between the third sensor and the first sensor serving as a signal source can be further calculated, and the third distance corresponding to the third sensor can be obtained by adding the first distance on the basis of the space distance. Since the distances from the second sensor and the third sensor to the first sensor increase in sequence, the resulting first distance < second distance < third distance.

It should be understood that the first sensor, the second sensor and the third sensor refer to a type of sensor that detects a human body and is used as a signal source, a type of sensor that directly receives an intensity signal sent by the signal source and forwards the intensity signal, and a type of sensor that simultaneously receives the intensity signal directly sent by the signal source and forwards the intensity signal forwarded by other sensors, respectively, that is, three types of sensors instead of three specific sensors.

In the third embodiment of the present application, for a sensor having a human body at a spatial position, on the one hand, an initial intensity signal including an intensity parameter is generated as a signal source, and the generated initial intensity signal is broadcast to other sensors, and on the other hand, a spatial distance corresponding to the human body is directly determined.

For the sensor with the spatial position without human body, on one hand, the intensity signals broadcast by other sensors are received, the spatial distance between the signal source end sensor and the sensor is identified according to the received intensity signals, the spatial distance between the signal source end sensor and the human body is calculated according to the spatial distance, on the other hand, the sensor is used as a signal repeater to attenuate intensity parameter values of the received intensity signals, and the intensity signals after the attenuation intensity parameter values are broadcast and are forwarded to other sensors, so that the intensity parameter values are weakened along with the increase of the number and the distance of the propagation after the intensity signals are broadcast by the signal source.

As can be seen from the above description, the embodiment of the application can realize mutual cooperative work without information feedback and control of the main control equipment by broadcasting the initial signal through the signal source and the mode of attenuation and forwarding of the intensity signal through the signal transponder, so that the system complexity is low when the sensor of the embodiment of the application is used for constructing a system of the sensor, the requirements on the installation environment and installation personnel are extremely low, even if an abnormal or damaged sensor occurs, only a new sensor is required to be directly replaced, the installation and maintenance cost of the sensor is greatly saved, and meanwhile, the mode of initially broadcasting the default intensity parameter and sequentially carrying out attenuation and forwarding is adopted, so that the space distance between the sensor and a human body is detectable, and the effective tracking of the real-time position of an object is realized.

As an embodiment of the present application, on the basis of the third embodiment of the present application, the third sensor further performs the following operations:

and reducing the value of the intensity parameter carried by the received intensity signal, and broadcasting the intensity signal after the value of the intensity parameter is reduced.

In the embodiment of the present application, considering that for a single sensor, it may be any one of three types of sensors under different conditions, and the single sensor does not know whether other sensors need to receive the intensity signal and respond, so in the embodiment of the present application, the third sensor has the same signal "forwarding" function as the first sensor and the second sensor, that is, after receiving the intensity signal, attenuates the intensity parameter value in the intensity signal, and broadcasts the attenuated intensity signal, so that other sensors in the space area can also normally receive the intensity signal "forwarded" by the third sensor, and perform operations such as calculating the distance between the sensors in the second embodiment of the present application, so as to realize cooperative work between the sensors. The specific method for reducing the intensity parameter is not limited herein, and may be set by a skilled person according to actual needs, including, but not limited to, for example, reducing the difference of the fixed gradient each time, or calculating the difference of the different gradients each time.

As a specific implementation manner of the intensity parameter value attenuation performed by the second sensor in the third embodiment of the present application, consider that if the value of each attenuation of the sensor is too small, the sensor may perform spatial ranging on a human body at a far distance, and the local space size requirements for detection are different in different actual application scenarios, and if the required local space is smaller, if the value of each attenuation of the sensor is too small, the sensor may not be useful for the spatial distance measurement result of a human body at a far distance, thereby increasing meaningless workload for the sensor.

In order to meet the requirement of small local space, the sensor is prevented from ranging the distance between the human body and the air, as shown in fig. 4, in the fourth embodiment of the present application, the operation of attenuating the intensity parameter value by the second sensor specifically includes:

s401, searching a decrementing value corresponding to the value of the intensity parameter carried by the received intensity signal.

And S402, updating the value of the intensity parameter carried by the received intensity signal by utilizing the difference value of the intensity parameter carried by the received intensity signal and the corresponding decreasing value to obtain the intensity signal with the decreased value of the intensity parameter, wherein the value of the intensity parameter and the decreasing value are in negative correlation.

In the fourth embodiment of the present application, different decreasing values are set in advance for different intensity parameter values, and the larger the decreasing value corresponding to the smaller intensity parameter value is, so that the intensity parameter value is rapidly attenuated in the "forwarding" process, further, it is ensured that the sensor range corresponding to each human body is not excessively large, an example is used for explaining, the intensity parameter value range is assumed to be 0-100, the default intensity parameter value in the initial intensity signal is set to be 100, and the decreasing values corresponding to the intensity parameter values 100 and 70 are set to be 30 and 70 respectively, at the moment, the intensity parameter value of each initial intensity signal is reduced to 0 at most twice when being propagated, i.e. only a sensor in a small range can receive an effective intensity parameter value, therefore, only a small number of nearby sensors can respond to a human body except for the sensor detecting the human body, at the moment, the influence of the remote human body on the sensor can be reduced, and the small range response scene requirement can be effectively met. The specific magnitude of the decreasing value corresponding to each intensity parameter value may be set by a technician according to the actual requirement of the response range, which is not limited herein.

As another alternative embodiment of the present application, corresponding to the fourth embodiment of the present application, in order to meet the scene requirement when the local space is larger, it is required that the sensors in a larger range around the human body can receive the effective intensity parameter value, so in the embodiment of the present application, the intensity parameter value and the decreasing value may be positively correlated, or the decreasing value may be a smaller fixed value, for example, may be half of the current intensity parameter value.

As an alternative embodiment of the present application, on the basis of the third and fourth embodiments of the present application, considering that a plurality of sensors may be simultaneously disposed in a spatial area in practical application, each sensor receives and broadcasts an intensity signal as the second sensor in the embodiment of the present application, if each sensor directly broadcasts and "forwards" the received intensity signal, a large amount of intensity signals are filled in the whole spatial area, which directly results in an exponential increase in workload of signal receiving, processing and broadcasting of each sensor, and meanwhile, due to continuous propagation of the intensity signals, sensors farther from the human body may also be subjected to unnecessary interference and generate false responses. Therefore, in order to prevent excessive propagation of the intensity signal, which causes excessive sensor data processing capacity and easily causes interference to the sensor that is too far away from the human body, in the fifth embodiment of the present application, the broadcasting operation of the intensity signal specifically includes:

In the embodiment of the application, the intensity parameter value of each received intensity signal is attenuated, whether the attenuated intensity parameter value is smaller or not is judged, if the intensity parameter value is smaller than or equal to the preset intensity threshold value, the broadcasting of the intensity signal is directly stopped from being forwarded, namely, the intensity signal is continuously broadcasted only when the intensity parameter value is larger than the intensity threshold value. The specific magnitude of the intensity threshold may be set by a skilled person according to the requirements of the practical application, and is not limited herein, and includes, but is not limited to, for example, 20% of the maximum intensity parameter value.

Because the intensity parameter value of the intensity signal decays to a certain degree, it shows that the intensity signal sensor is far away from the human body, and at the moment, if the intensity signal is transmitted continuously in a forwarding mode, excessive transmission of the intensity signal is likely to be caused, so that the embodiment of the application can directly stop the transmission of the intensity signal in a forwarding mode, prevent from causing false response of the sensor, and simultaneously, the sensor stops transmitting the intensity signal with weaker intensity parameter value in time, so that the intensity signal data class in the whole space area is sharply reduced, and the data processing capacity of the sensor is greatly reduced.

As a specific implementation manner of calculating a distance between sensors according to an intensity signal in the fourth embodiment of the present application, on the basis of the above embodiments of the present application, considering that in actual situations, signal quality decreases with increasing propagation distance, in the sixth embodiment of the present application, the evaluation of the distance between sensors is implemented by detecting the quality of the received intensity signal, and the operation of calculating the distance between sensors specifically includes:

In the embodiment of the application, a corresponding relation between signal quality and sensor distance is established in advance according to the loss condition of an intensity signal transmitted by an actual sensor when the intensity signal propagates in a space region, wherein a specific corresponding relation creation method is not limited herein, and includes, but is not limited to, measuring the intensity signal quality received by the sensor under different signal transmission distances by a technician, so as to obtain a corresponding relation between the required signal quality and the sensor distance, and pre-storing the corresponding relation.

After receiving the intensity signal, the first sensor performs quality parameter evaluation on the received intensity signal to determine the quality condition of the intensity signal, and the first sensor can find out the corresponding sensor distance according to the pre-stored corresponding relation. The specific type and calculation method of the quality parameter are not limited herein, and may be set by a skilled person according to actual requirements, and include, but are not limited to, any one or more of signal strength, signal quality, signal reception success rate, signal loss rate, and number of times of receiving signals in a preset period of time, as the quality parameter in the embodiment of the present application, and perform calculation.

In the embodiment of the application, the sensor does not need to rely on too many physical parameters when calculating the sensor distance, but only evaluates the signal quality of the received intensity signal and determines the corresponding sensor distance, so that the embodiment of the application can realize accurate quantification of the sensor distance without acquiring or setting parameters of other equipment in advance or carrying out linkage interaction with other equipment, the calculation process is independent and simple, for practical application, the technical personnel does not need to acquire any equipment parameters, design equipment information interaction and process design work of interaction information in advance when calculating the sensor distance, and only needs to directly and independently install each sensor and start the sensor, thereby greatly reducing the hardware installation configuration and maintenance work in practical application and greatly reducing the hardware cost and the labor cost of the equipment.

As a specific implementation manner of calculating the quality parameter in the sixth embodiment of the present application, considering that the hardware computing resources of the sensor are limited in actual situations, in order to reduce the workload of calculating the quality parameter, a relatively simple and easy method needs to be set to quantize the signal quality parameter of the intensity signal, and in the seventh embodiment of the present application, the step of calculating the quality parameter includes:

and counting the receiving times of each intensity signal in a preset time period, and taking the receiving times as quality parameters.

In consideration of the fact that the signal is intermittent with the increase of the propagation distance, the embodiment of the application quantifies the signal quality parameter according to the number of received intensity signals in unit time, wherein specific preset time starting and ending moments can be set by a technician according to the actual situation, and optionally, the ending moment can be set as the moment of currently carrying out quality parameter calculation so as to ensure the real-time performance of the calculated quality parameter. Meanwhile, in order to realize accurate quantification of the intensity signal quality parameter based on the intensity signal receiving times and accurate calculation of the sensor distance, when the corresponding relation between the signal quality and the sensor distance is preset, the broadcasting frequency of the sensor when the intensity signal is broadcast, namely, the intensity signal is broadcast for several times per second, is required to be known in the embodiment of the application, so that the accurate corresponding relation is determined, and therefore, the frequency of the actual sensor broadcasting the intensity signal is required to be known in advance in the embodiment of the application, and the required corresponding relation is set up as reference data.

In the embodiment of the application, the requirement on hardware computing resources is extremely low due to small statistical calculation amount of the receiving times and low calculation difficulty, so that the software and hardware cost of the actual sensor is greatly reduced while the accurate quantification of the signal quality is realized.

As an embodiment of the present application, since the sensors in all broadcasting ranges around the sensor can theoretically receive the intensity signal broadcast when the sensor broadcasts the intensity signal, corresponding to a single sensor, the sensor receives the intensity signal broadcast by a certain adjacent sensor and also receives the intensity signal broadcast by other adjacent sensors, if the two intensity signals are the same signal, the sensor can directly receive the two corresponding sensor distances at the same time due to different propagation times and paths, but the intensity signals with different intensity parameter values are the same, for example, if the sensor a, the sensor B and the sensor C are sequentially equidistantly adjacent, at the moment, the sensor B can attenuate and "forward" the intensity parameter for the intensity signal broadcast by the sensor a, and the sensor C can also attenuate and "forward" the intensity parameter when the intensity signal broadcast by the sensor B is received, and if the sensor distance corresponding to the intensity signal broadcast by the sensor a is the same, the sensor distance corresponding to the two intensity signal is the same, but the sensor distance corresponding to the intensity signal broadcast by the sensor a is the same as the intensity parameter value, i.e. if the sensor distance between the sensor a and the sensor C is the intensity parameter value is not the same, the intensity parameter value can be determined, i.e. if the sensor is directly applied to the intensity signal with the intensity parameter value is not the same, the intensity parameter value, the sensor can be directly determined to be the intensity parameter value.

In order to avoid that the sensor normally determines a required intensity parameter value due to back propagation of an intensity signal, on the basis of the above embodiments of the present application, a screening step of the target response signal by the third sensor in the eighth embodiment of the present application specifically includes:

if a plurality of minimum sensor distances exist, screening out intensity signals with the maximum value of the intensity parameter from intensity signals corresponding to all the minimum sensor distances, and taking the screened intensity signals as target response signals.

When the third sensor detects that a plurality of minimum sensor distances exist, namely, the distances between the plurality of broadcasting end sensors and the third sensor are the same and minimum, the transmission times of the counter-propagating intensity signals are considered to be more, so that the intensity parameter values contained in the intensity signals are smaller, the intensity signals with the maximum intensity parameter values can be directly screened out as target response signals, and the subsequent output mode selection output is carried out, so that the interference of the counter-propagating intensity signals is eliminated, the sensor in the embodiment of the application can be better adapted to the actual position of a human body to select and output the output mode, and the real-time effectiveness of the output is ensured.

It should be understood that in the third to eighth embodiments of the present application, the first sensor, the second sensor and the third sensor are all three sensor types obtained by classifying the sensors according to the states of the sensors, but for a single sensor, it may be any one of the three sensor types under different scenes, so the description of the functions and principles of the first sensor, the second sensor and the third sensor in the foregoing embodiments may be applied to any one of the sensors in the first embodiment of the present application at the same time.

Corresponding to the method of the above embodiment, fig. 5 shows a system interaction diagram of the user identification system provided in the ninth embodiment of the present application, and for convenience of explanation, only the portion relevant to the embodiment of the present application is shown. The plurality of sensors and terminal devices in the user identification system illustrated in fig. 5 may be the execution subjects of the user identification method provided in the first embodiment.

As shown in fig. 5, a user identification system provided in a ninth embodiment of the present application includes: a plurality of sensors and a terminal device, wherein each sensor is disposed at a different spatial location in the spatial region, respectively.

S501, the plurality of sensors are configured to detect spatial distances between themselves and a human body, respectively, and send the detected spatial distances to the terminal device with the first frequency as a period.

S502, the terminal equipment is used for identifying a local space in which a human body is located in a space area each time the plurality of spatial distances are received according to the spatial positions of the sensors and the plurality of spatial distances received each time, wherein the local space comprises at least one spatial position.

The terminal device is further configured to draw a movement path corresponding to the human body based on the identified multiple local spaces, and identify whether the human body is a legal user according to the movement path.

The implementation principle of the ninth embodiment of the present application is the same as that of the first embodiment of the present application, and specific principle description, background description and beneficial effect description refer to the related description of the first embodiment of the present application, which are not repeated here.

As an embodiment ten of the present application, on the basis of an embodiment nine of the present application, a terminal device is specifically configured to:

and identifying the time period of the current moment, and carrying out path inquiry on a user database based on the obtained time period to obtain a plurality of legal paths corresponding to a plurality of legal users, wherein the user database is recorded with the plurality of legal users and one or more legal paths corresponding to each legal user respectively under different time periods.

And carrying out path matching on the plurality of legal paths by utilizing the moving paths.

If the path matching fails, the human body is judged to be an illegal user.

The implementation principle of the tenth embodiment of the present application is the same as that of the first embodiment of the present application, and specific principle description, background description and beneficial effect description may refer to the related description of the first embodiment of the present application, which is not repeated here.

As an embodiment of the present application, based on the ninth and tenth embodiments of the present application, each sensor is configured to detect a human body at a spatial position where the sensor is located, and the plurality of sensors includes a first sensor, a second sensor, and a third sensor, where the first sensor is a sensor that detects a human body, and a distance between the second sensor and the first sensor is smaller than a distance between the third sensor and the first sensor.

The first sensor is used for acquiring a first distance and taking the first distance as a space distance between the first sensor and a human body.

The first sensor is further used for generating an intensity signal and broadcasting the generated intensity signal, wherein the generated intensity signal carries an intensity parameter with a value of a preset size.

The second sensor is used for reducing the value of the intensity parameter carried by the received intensity signal when the intensity signal broadcast by the first sensor is received, and broadcasting the intensity signal with the reduced value of the intensity parameter.

The second sensor is further configured to identify a spatial distance between itself and the human body according to the intensity parameter in the intensity signal broadcast by the first sensor when the human body is not detected, and obtain a second distance.

And the third sensor is used for calculating the sensor distances corresponding to the received intensity signals broadcast by the first sensor and the second sensor respectively when the human body is not detected, and taking the intensity signal corresponding to the smallest sensor distance as a target response signal.

The third sensor is further used for identifying the space distance between the third sensor and the human body according to the intensity parameter in the target response signal to obtain a third distance, wherein the first distance is smaller than the second distance.

The implementation principle of the eleventh embodiment of the present application is the same as that of the third embodiment of the present application, and specific principle description, background description and beneficial effect description can refer to the related description of the third embodiment of the present application, which are not repeated here.

Meanwhile, in the eleventh embodiment of the present application, each sensor has two functions of signal receiving and broadcasting, where according to different practical application requirements, the signal receiving and broadcasting functions may be set to be turned on simultaneously, so long as there is corresponding hardware support, or may also be set to switch the signal receiving and broadcasting functions at regular time, for example, the signal receiving and broadcasting functions are switched every 0.5 seconds, and specifically, the signal receiving and broadcasting functions may be selected and set by a technician according to practical application requirements, which is not limited herein. In addition, in the embodiment of the present application, when the sensor detects a human body, the signal receiving function of the sensor may be set to be on, and at this time, the sensor may further implement a "forwarding" function of the intensity signal, or may also be set to be off, and at this time, the sensor only serves as a signal source to broadcast the initial intensity signal, so as to prevent interference of signals of other sensors, which may be specifically set by a technician according to actual needs, and is not limited herein.

As an embodiment of the present application, on the basis of the eleventh embodiment of the present application, in consideration of the fact that there may be multiple human bodies simultaneously in a spatial area, in order to ensure that a moving path of each human body is accurately drawn separately, in the embodiment of the present application, in a process of drawing a local space and a moving path of a human body, a terminal device is specifically configured to:

As an embodiment of the present application, on the basis of the eleventh embodiment of the present application, the third sensor further performs the following operations:

Specific principle descriptions, background descriptions and beneficial effect descriptions can refer to the corresponding related descriptions of the method embodiments of the present application, and are not repeated here.

As an embodiment twelve of the present application, on the basis of an embodiment eleven of the present application, a second sensor is specifically configured to:

and searching a decrementing value corresponding to the value of the intensity parameter carried by the received intensity signal.

The implementation principle of the twelfth embodiment of the present application is the same as that of the fourth embodiment of the present application, and specific principle description, background description and beneficial effect description can refer to the related description of the fourth embodiment of the present application, which is not repeated here.

As an embodiment thirteenth of the present application, on the basis of an embodiment eleventh of the present application, the second sensor is specifically configured to:

The implementation principle of the thirteenth embodiment of the present application is the same as that of the fifth embodiment of the present application, and specific principle description, background description and beneficial effect description can refer to the related description of the fifth embodiment of the present application, which are not repeated here.

As an embodiment fourteen of the present application, on the basis of an embodiment eleventh of the present application, the third sensor is specifically configured to:

The implementation principle of the fourteenth embodiment of the present application is the same as that of the sixth embodiment of the present application, and specific principle description, background description and beneficial effect description can refer to the related description of the sixth embodiment of the present application, which is not repeated here.

As an embodiment fifteen of the present application, on the basis of the fourteen embodiment of the present application, the third sensor is specifically configured to:

The implementation principle of the fifteen embodiments of the present application is the same as that of the seventh embodiment of the present application, and specific principle description, background description and beneficial effect description may refer to the related description of the seventh embodiment of the present application, which is not repeated here.

As an embodiment sixteen of the present application, on the basis of the eleventh to fifteenth embodiments of the present application, the third sensor is specifically configured to:

The implementation principle of the sixteenth embodiment of the present application is the same as that of the eighth embodiment of the present application, and specific principle description, background description and beneficial effect description can refer to the related description of the eighth embodiment of the present application, which is not repeated here.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.

It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.

As used in the present description and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".

Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance. It will also be understood that, although the terms "first," "second," etc. may be used herein in some embodiments of the application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first table may be named a second table, and similarly, a second table may be named a first table without departing from the scope of the various described embodiments. The first table and the second table are both tables, but they are not the same table.

Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims

1. A method of user identification, comprising:

the terminal equipment draws a moving path corresponding to a human body based on the identified multiple local spaces, and identifies whether the human body is a legal user or not according to the moving path;

each sensor is used for detecting a human body at the space position where the sensor is located, the plurality of sensors comprise a first sensor, a second sensor and a third sensor, the first sensor is a sensor for detecting the human body, the distance between the second sensor and the first sensor is smaller than the distance between the third sensor and the first sensor, and the plurality of sensors respectively detect the space distance between the sensor and the human body and comprise:

2. The user identification method of claim 1 wherein the second sensor reduces the value of an intensity parameter carried by the received intensity signal, comprising:

3. The user identification method of claim 1 wherein the second sensor reduces the value of the intensity parameter carried by the received intensity signal and broadcasts the reduced intensity parameter value intensity signal, comprising:

4. The user identification method of claim 1 wherein the third sensor calculating a sensor distance corresponding to the received intensity signals broadcast by the first sensor and the second sensor, respectively, comprises:

5. The user identification method as claimed in any one of claims 2 to 4, wherein the third sensor regards an intensity signal corresponding to a minimum sensor distance as a target response signal, comprising:

6. The user identification method according to any one of claims 1 to 4, wherein the identifying whether the human body is a legitimate user according to the movement path includes:

if the path matching fails, judging that the human body is an illegal user.

7. A user identification system, comprising: a plurality of sensors and a terminal device, wherein each sensor is respectively arranged at different spatial positions in a spatial region;

the terminal equipment is also used for drawing a moving path corresponding to the human body based on the identified multiple local spaces and identifying whether the human body is a legal user or not according to the moving path;

the sensors are used for detecting the human body at the space positions, the plurality of sensors comprise a first sensor, a second sensor and a third sensor, the first sensor is a sensor for detecting the human body, and the distance between the second sensor and the first sensor is smaller than that between the third sensor and the first sensor;

The first sensor is used for acquiring a first distance and taking the first distance as a space distance between the first sensor and a human body;

the first sensor is further used for generating an intensity signal and broadcasting the generated intensity signal, wherein the generated intensity signal carries an intensity parameter with a value of a preset size;

the second sensor is used for reducing the value of the intensity parameter carried by the received intensity signal when receiving the intensity signal broadcast by the first sensor, and broadcasting the intensity signal with the reduced value of the intensity parameter;

the second sensor is further used for identifying the space distance between the second sensor and the human body according to the intensity parameter in the received intensity signal broadcast by the first sensor when the human body is not detected, so as to obtain a second distance;

the third sensor is used for calculating the sensor distances corresponding to the received intensity signals broadcast by the first sensor and the second sensor respectively when the human body is not detected, and taking the intensity signal corresponding to the minimum sensor distance as a target response signal;

the third sensor is further configured to identify a spatial distance between the third sensor and the human body according to the intensity parameter in the target response signal, so as to obtain a third distance, where the first distance is less than the second distance is less than the third distance.

8. The subscriber identification system of claim 7, wherein the terminal device is specifically configured to:

if the path matching fails, judging that the human body is an illegal user.