CN112749586A

CN112749586A - User identification method and system

Info

Publication number: CN112749586A
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 Lighting Co ltd
Current assignee: Xiamen Lidaxin Lighting Co ltd
Priority date: 2019-10-30
Filing date: 2019-10-30
Publication date: 2021-05-04
Anticipated expiration: 2039-10-30
Also published as: CN112749586B

Abstract

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

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

Present indoor monitoring carries out video monitoring based on the camera, though can realize indoor safety monitoring to a certain extent like this, but on the one hand, to legal user, its daily life of working also can be shot, in the era that the incident that the camera was cracked is frequent, can make legal user's privacy be difficult to obtain the guarantee, on the other hand, illegal user just can directly make video monitoring lose effect as long as cover the camera, consequently, present indoor monitoring method both can't ensure user's privacy, the security and the reliability of monitoring simultaneously are also lower.

Disclosure of Invention

In view of this, embodiments of the present application provide a user identification method and system, which can solve the problems of security and reliability of indoor monitoring.

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

the method comprises the following steps that a plurality of sensors respectively detect spatial distances between the sensors and a human body and send the detected spatial distances to terminal equipment by taking a first frequency as a period, wherein each sensor is respectively arranged at different spatial positions in a spatial region;

the terminal equipment identifies a local space where the human body is located in the space area when receiving the plurality of space distances each time according to the space position where each sensor is located and the plurality of space distances received each time, wherein the local space comprises at least one space position;

and the terminal equipment draws a moving path corresponding to the human body based on the plurality of identified 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 perform human body detection on the spatial position where the sensor is located, the sensors include a first sensor, a second sensor, and a third sensor, 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 sensors respectively detect spatial distances between the sensor and a human body, including:

the first sensor acquires a first distance, and the first distance is used 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 preset value;

when the second sensor receives the intensity signal broadcasted by the first sensor, the value of the intensity parameter carried by the received intensity signal is reduced, and the intensity signal with the reduced value of the intensity parameter is broadcasted;

when the second sensor does not detect the human body, the spatial distance between the second sensor and the human body is identified according to the intensity parameter in the received intensity signal broadcast by the first sensor, and a second distance is obtained;

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

and the third sensor identifies the spatial 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 < the second distance < the third distance.

On the basis of the first possible implementation manner, in a second possible implementation manner of the first aspect, the reducing, by the second sensor, the value of the intensity parameter carried by the received intensity signal includes:

searching a decrement 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 using the difference value between the value of the intensity parameter carried by the received intensity signal and the corresponding decrement value to obtain the intensity signal with the value of the intensity parameter reduced, wherein the value of the intensity parameter is in negative correlation with the decrement value.

On the basis of the first possible implementation manner, in a third possible implementation manner of the first aspect, the reducing, by the second sensor, the value of the intensity parameter carried by the received intensity signal, and broadcasting the intensity signal with the reduced value of the intensity parameter includes:

and reducing the value of the strength parameter carried by the received strength signal, and broadcasting the strength signal with the reduced value of the strength parameter only when the reduced value of the strength parameter is greater than the strength threshold value.

On the basis of the first possible implementation manner, in a fourth possible implementation manner of the first aspect, the calculating, by the third sensor, sensor distances corresponding to intensity signals received from the first sensor and the second sensor respectively includes:

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

On the basis of the first possible implementation manner to the fourth possible implementation manner, in a fifth possible implementation manner of the first aspect, the taking an intensity signal corresponding to a minimum sensor distance as a target response signal by the third sensor includes:

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

On the basis of the first possible implementation manner to the fourth possible implementation manner, in a sixth possible implementation manner of the first aspect, the identifying whether the human body is a valid user according to the moving path includes:

identifying a time period of the current time, and performing 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 records the plurality of legal users and one or more legal paths corresponding to the legal users in different time periods;

carrying out path matching on a plurality of legal paths by using the moving path;

and if the path matching fails, judging the human body as an illegal user.

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

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

the terminal device is configured to identify a local space in which the human body is located in the space region each time a plurality of spatial distances are received, according to the spatial position where each sensor is located and the plurality of spatial distances received each time, where the local space includes at least one spatial position;

the terminal equipment is further used for drawing a moving path corresponding to the human body based on the plurality of identified 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 advantages that: the method comprises the steps of carrying out periodic detection on the spatial distance between the sensor and a human body of a user through a plurality of sensors distributed at different spatial positions in a spatial region, determining the specific local space of the human body of the user at each time according to the spatial distance between each sensor and the human body of the user detected at each time and the specific spatial position of each actual sensor in the spatial region, further realizing periodic detection and refreshing of the actual position of the user, drawing a moving path of the human body of the user based on a plurality of specific local spaces, and finally identifying and detecting the moving path based on actual identification, so that whether the user is a legal user at present can be accurately identified. According to the embodiment of the application, personal privacy information such as the face of a user and the like does not need to be acquired, and meanwhile, due to the fact that the number and the installation positions of the sensors are very flexible, even if some sensors are shielded or damaged by illegal persons, the embodiment of the application can still achieve effective drawing of the moving path, and compared with video monitoring, the embodiment of the application is high in safety and reliability.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1A is a schematic flowchart illustrating an implementation process of a user identification method according to an embodiment of the present application;

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

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

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

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

fig. 5 is a schematic flow chart illustrating an implementation of the user identification method according to the 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 particular system structures, 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 explain the technical solution described in the present application, the following description will be given by way of specific examples.

In order to facilitate understanding of the application, the embodiment of the application is briefly described here, and as video monitoring is performed indoors, on one hand, for legal users, daily work and life of the legal users can also be shot, and in an era where events cracked by a camera are frequent, the privacy of the legal users can be difficult to guarantee.

In order to improve the safety and reliability of indoor monitoring, the embodiment of the application firstly arranges sensors at each spatial position in a spatial area to be monitored, periodically detects the spatial distance from the human body of a user by a plurality of sensors distributed at different spatial positions in the spatial area, then can determine the specific local space of the human body of the user at each time according to the detected spatial distance between each sensor and the human body of the user and the specific spatial position of each sensor in the spatial area, further can realize periodic detection and refreshing of the actual position of the user, and finally can draw the moving path of the human body of the user based on a plurality of specific local spaces, because the moving path of each legal user in the indoor space has a certain rule, finally, the identification and detection are carried out based on the actually identified moving path, whether the current user is a legal user can be accurately identified. According to the embodiment of the application, personal privacy information such as the face of a user and the like does not need to be acquired, and meanwhile, due to the fact that the number and the installation positions of the sensors are very flexible, even if some sensors are shielded or damaged by illegal persons, the embodiment of the application can still achieve effective drawing of the moving path, and compared with video monitoring, the embodiment of the application is high in safety and reliability.

Meanwhile, some terms that may be referred to in 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, a specific hardware form of the sensor is not limited herein, and may be set by a technician according to an actual scene requirement, 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 intensity signal is a signal generated and broadcasted by a sensor detecting a human body and forwarded by a received sensor, and the intensity signal is used for propagating an intensity parameter and informing a receiving end sensor of the distance between the receiving end sensor and the broadcasting end sensor, and attribute values such as a specific signal format and signal emission intensity of the intensity signal can be set by a technician according to requirements of practical application, which is not limited herein.

The intensity parameters depend on the parameters of intensity signal propagation, each intensity parameter has a specific parameter value, when a sensor detecting a human body generates an intensity signal, an intensity parameter with the parameter value being the default value is generated and broadcasted at the same time, and meanwhile, the received sensor broadcasts the intensity parameter value after the intensity parameter value is attenuated. The intensity parameter value is used for detecting the distance between the human body and the sensor, and the specific size of the default value can be set by a technician, which is not limited herein,

the terminal device, in this embodiment of the present application, refers to a hardware device having a certain data processing capability and a certain data transmission capability, where the certain data processing capability refers to processing sensor data to identify a local space where a human body is located in a spatial region and draw a moving path, and the data transmission capability refers to receiving spatial distance data transmitted by a sensor. The specific device type of the terminal device is not limited herein, and may be selected or designed by a technician according to actual needs as 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 other terminal device, or may be a mobile terminal such as a mobile phone, a tablet computer, or other terminal device.

It should also be noted that the terms "first," "second," "third," and the like in the description of the present application and in the appended claims, are used for distinguishing between descriptions and not for indicating or implying relative importance. It will also be understood that, although the terms first, second, etc. may be used herein to describe various elements in some embodiments of the application, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. 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 explains an embodiment of the present application with an implementation flow of user identification between a sensor and a terminal device and a workflow of user identification by a user identification system formed by the sensor and the terminal device, and details are 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 detailed as follows:

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

In the embodiment of the present application, the spatial region refers to a piece of space that needs to be monitored for security, and according to different actual application scenarios, the size, shape, and other attributes of the spatial region may also have a certain difference, for example, the spatial region may be a small indoor room, or a large public place including a plurality of subspaces, such as a whole company. In the embodiment of the present application, a plurality of spatial positions may be selected in a spatial region in advance, and a sensor may be installed at each spatial position, where a specific spatial position selection method is not set in the embodiment of the present application, and a technician may select a specific number, density, difference, and the like of the spatial positions according to actual requirements, for example, refer to fig. 1B, where a black rectangular frame is a spatial region, each black point is a selected spatial position, and at this time, 36 spatial positions arranged in an array are set in total, or may be set to other arrangement manners.

At the same time, it should be understood that, since in practice the sensor does not detect only a point without volume (the human body itself is the object with a certain volume, not a point without volume), meanwhile, when the output device outputs the somatosensory signals, the somatosensory signals are not only output to a point without volume, in the present embodiment, the spatial position is therefore also not a point without volume, but rather a smaller space in the spatial area, that is, the embodiment of the present application may divide the whole spatial region into a plurality of smaller spaces by selecting a plurality of spatial positions, for example, referring to fig. 1C, based on the above example of fig. 1B, the spatial region is actually divided into 36 smaller spaces (i.e., small black rectangular frames in fig. 1C) corresponding to the 36 spatial positions of the sensor.

In the above implementation, each spatial position point in the spatial region is selected, and on the basis that the sensors are installed in advance, each sensor in the embodiment of the present application may acquire a spatial distance between itself and the human body, where a specific spatial distance acquisition method is different according to a selected specific sensor type, actual requirements, and the like, and a technician may select or set the spatial distance by himself/herself, for example, when some sensor devices capable of recognizing and measuring distance are selected, such as an infrared sensor, the human body may be directly recognized and measured by the sensors at this time, and when some sensor devices capable of recognizing only the human body are selected, a corresponding distance measurement method needs to be set to calculate the spatial distance of the human body, for example, reference may be made to three to eight embodiments of the present application.

After the sensors acquire the spatial distance between the sensors 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, the higher the first frequency is, the better the monitoring effect is, but the higher the processing load on the terminal device is, the higher the cost is, the specific value of the first frequency is not limited in the embodiment of the present application, and may be set by a technician according to an actual requirement, for example, may be set to any value from 1/second to 20/second. Meanwhile, according to the difference of the network conditions of the actually selected terminal equipment and the actually applied scene, the sensor and the terminal equipment can be in communication connection in a wired mode or in a wireless mode, and corresponding data transmission interaction is carried out, when the communication connection is carried out in a wireless mode, the terminal equipment only needs to complete the pairing with each sensor and an output device in advance, and because the computing capacity of the existing mobile terminal is increasingly strong, the mobile terminal is used as the terminal equipment in the embodiment of the application and is in communication connection with the sensor in a wireless network mode, on one hand, a user does not need to buy expensive equipment, on the other hand, the constraint on a use space is eliminated, the user can complete the operation of the embodiment of the application at any place, and the real-time condition of outputting each human body feeling signal is checked in real time, the use of the user can be greatly facilitated.

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

In this embodiment of the present application, the local space refers to a space formed by spreading a distance outward from an actual position of a single human body in a space region, where the local space is a minimum positioning unit for the human body when the moving path is drawn in this embodiment of the present application, and the size of the local space has a large influence on the accuracy of drawing the moving path (see the related description of S103 in detail), so that the specific value of the spreading distance needs to be set by a technician according to an actual requirement, which is not limited herein, and may be set to 0.5 meter, for example.

After receiving a plurality of spatial distances, terminal equipment is according to the spatial position of sensor in the spatial region, and the spatial distance between each sensor and the human body, can draw the spatial distance distribution map between each spatial position and the human body in the spatial region, filter out the sensor spatial position that wherein minimum spatial distance corresponds, can realize the preliminary location to the human body, finally according to preset diffusion distance, can select the specific local space that corresponds of human body, for example, assume that diffusion distance is 0.5 meter, need use the spatial position that the human body was located as the center this moment, select all spatial positions at 0.5 meter within range with human body spatial distance, and then constitute the local space that this human body corresponds.

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 the sensors, the sensors automatically send the spatial positions of the sensors to the terminal device for recording, or the sensors are manually recorded in the terminal device in advance by a technician, or the sensors send the spatial positions of the sensors together while sending spatial distance data to the terminal device each time, and may be specifically set by the technician, which is not limited herein.

S103, the terminal device draws a moving path corresponding to the human body based on the plurality of identified local spaces, and identifies whether the human body is a legal user or not according to the moving path.

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

Because the moving path of each legal user in the indoor space is regular, for example, in a company, the range of activities of common employees is generally in places such as a work station, a meeting room, a rest room and a toilet, the corresponding moving routes are different sequential lines in the places, it will not typically go to the general manager's office or the clean keeper's storage room, and therefore, for a fixed spatial area, in the embodiment of the present application, the legal moving paths of all legal users in the space region are stored in advance, and will carry on the route matching after drawing the correspondent movement path of human body, if the matching fails, the human body is not a legal user in the space region, so that the illegal user can be effectively identified. The embodiment of the present application does not limit the specifically used path matching method, and may be set by a technician according to actual requirements, for example, the method may be performed by matching graph similarity of the path, or may be performed by matching some key areas related in the path, for example, assuming that a certain person is identified in a moving path of a company and includes key areas such as a workstation, a conference room, a material storage room, a general manager office, and a financial office at the same time, and if it is detected that all legal moving paths corresponding to the company do not include paths of the key areas at the same time, it is determined that the moving path of the person is illegal, that is, the person is an illegal user, where the key areas may be set and marked by the technician according to actual spatial area conditions.

It should be noted that, in order to ensure the accuracy of user identification in practical situations, in the embodiments of the present application, a large number of sensors are required to be used, and at the same time, in order to ensure the concealment of the sensors to prevent malicious destruction by an illegal user, and to ensure that the installed sensors do not affect the normal life and work of a legal user, the installation locations of the sensors in the embodiments of the present application are generally set on a ceiling or other locations that are far away from the user and relatively concealed, and it is considered that the sampling precision of commonly used sensors is low when the sensors are far away from the user, and the frequency of the sampling processing of the terminal device is generally not very high, if the spatial location directly detected by a single sensor is the minimum positioning unit of the human body, the accuracy of detection by the single sensor itself is difficult to be guaranteed, and therefore, the reliability of the drawn moving path is directly low, meanwhile, for the case that the user moves quickly, if the spatial position detected by the single sensor is directly used as the minimum positioning unit of the human body, the detection error of the single sensor is amplified, so that the reliability of the drawn movement path is lower. Based on the above reasons, in order to avoid the occurrence of the situation that the path drawing is inaccurate due to the error of the single sensor detection, in the embodiment of the present application, the local space where the human body is located is used as the minimum positioning unit of the human body to perform the path drawing, so that the position of the human body obtained at each time is an area where the human body is located, and 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 path drawing is improved.

As an embodiment of the present application, in order to ensure that a moving path of each human body is accurately drawn in a differentiated manner in consideration that a plurality of human bodies may exist in a spatial region in an actual situation at the same time, in the embodiment of the present application, a process of drawing a local space and a moving path of a human body includes:

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

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, a spatial distance distribution map between each spatial position in the spatial region and the human body can be drawn according to the spatial position of the sensor in the spatial region and the spatial distance between each sensor and the human body, a contour line of the spatial distance is drawn, 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 drawn respectively, and therefore accurate distinguishing and drawing of the moving paths of the different human bodies can be achieved.

As another embodiment of the present application, for scenes with a large number of active people in the original space area, such as the public office area of a company, since the embodiment of the present application does not acquire the privacy information of the user such as the human face, the ability of distinguishing and identifying different human bodies is poor, at this time, the embodiment of the present application sets the identification mark for each legal user in advance, and stores the identification mark in the sensible hardware, for example, the work number is stored in a work card worn by a company employee, so that the sensor can identify the identity of the human body while identifying the local space where the human body is located, screening out all local spaces corresponding to the same user according to the identity, drawing corresponding moving paths, the method and the device can prevent the drawing inaccuracy of the human body moving path caused by the difficulty in distinguishing different human bodies, and finally the situation that the user identification is unreliable occurs.

In order to improve the safety and reliability of indoor monitoring, the embodiment of the application firstly arranges sensors at each spatial position in a spatial area to be monitored, periodically detects the spatial distance from the human body of a user by a plurality of sensors distributed at different spatial positions in the spatial area, then can determine the specific local space of the human body of the user at each time according to the detected spatial distance between each sensor and the human body of the user and the specific spatial position of each sensor in the spatial area, further can realize periodic detection and refreshing of the actual position of the user, and finally can draw the moving path of the human body of the user based on a plurality of specific local spaces, because the moving path of each legal user in the indoor space has a certain rule, finally, the identification and detection are carried out based on the actually identified moving path, whether the current user is a legal user can be accurately identified. According to the embodiment of the application, personal privacy information such as the face of a user and the like does not need to be acquired, meanwhile, the number and the installation positions of the sensors are very flexible, and the sensors can be installed above a ceiling, so that real traceless monitoring and abnormal recognition can be realized compared with video monitoring, and meanwhile, even if a part of the sensors are shielded or damaged by illegal members, the embodiment of the application can still realize effective drawing of a moving path, so that the embodiment of the application is extremely high in safety and reliability compared with video monitoring.

As an embodiment of the present application, when the terminal device identifies that the human body is an illegal user, the embodiment of the present application further sends the drawn moving path to a preset receiving device, such as a computer in a guard room or a monitoring room, for displaying, and sends an alarm to the receiving device to notify the receiving device that the illegal user exists in the spatial area at this time.

As a specific implementation manner of performing user identification based on a moving path in the first embodiment of the present application, considering that in an actual situation, even if the same user may have different permissions changed in different time periods, so that a corresponding activity range and a corresponding legal moving path of the user may change, for example, for a certain workplace with a higher security level, such as a research institute, in a normal working time period, common staff is allowed to enter and exit from each area in the workplace, but when a non-working time period, such as at night, the common staff is not allowed to enter the workplace, so that, in order to ensure accurate identification of an illegal user, in the second embodiment of the present application, legal paths of each user are further stored legally according to the time periods in advance to obtain a corresponding user database, and the user database is used as a matching object to improve the identification accuracy, as shown in fig. 2, two pairs of operations for identifying the user based on the moving path in the embodiment of the present application are specifically as follows:

s201, identifying the time period of the current time, and performing 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 records the plurality of legal users and one or more legal paths corresponding to the legal users at different time periods.

As can be seen from the above description, in the embodiment of the present application, the legal paths corresponding to the legal users in different time periods are stored in the user database in advance, so that after the moving path corresponding to the human body is drawn, the embodiment of the present application identifies the time period in which the current time is located, and then finds out all the legal paths corresponding to the legal users in the time period to serve as the objects for matching the subsequent paths. The specific division rule of the time period can be set by technical personnel according to the user authority control condition of a 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, path matching is carried out on a plurality of legal paths by utilizing the moving path.

The embodiment of the application can match each found legal path one by using the drawn moving path so as to judge whether a path which is matched successfully correspondingly exists. In the embodiments of the present application, the specific path matching method is not limited, and may be set by a technician according to actual requirements, or refer to the related descriptions 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 there is no path which can be matched with the drawn moving path in the found legal paths, the drawn moving path is not a path generated by the movement of a legal user, namely, the human body is an illegal user.

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

As shown in fig. 3, on the basis of the first embodiment or the second embodiment, the third embodiment of the present application includes three types of sensors, namely, 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 acquiring a spatial distance from 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 the human body.

In the embodiment of the present application, according to different types of selected sensors and different detection methods of settings, the manner in which the sensor determines whether a human body exists at the spatial position may also have a certain difference, for example, if the sensor is an infrared sensor, and the detection method is that the human body exists at the spatial position as long as the temperature is within a set human body temperature range, and at this time, the human body existing in the spatial position may be determined as long as the temperature within the spatial position is within the set human body temperature range.

Since the first sensor is a sensor that detects a human body, that is, it is described that a human body exists in a spatial position where the first sensor is located, in this embodiment of the 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 in a range of a selectable value of the spatial distance, and may be set to 0 meter, for example.

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

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

And S303, when the second sensor receives the intensity signal broadcasted by the first sensor, 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.

The second sensor is a sensor close to the first sensor, so that the second sensor can firstly receive the strength signal of the first sensor, at the moment, the second sensor can be used as a signal repeater to attenuate the strength parameter value of the received strength signal, and broadcast and 'repeat' the strength signal after the strength parameter value is attenuated to other sensors, so that the strength parameter value can be weakened along with the increase of the propagation times and distance after the strength signal is broadcast by a signal source.

S304, when the second sensor does not detect the human body, the second sensor identifies the spatial distance between the second sensor and the human body according to the intensity parameter in the received intensity signal broadcast by the first sensor to obtain a second distance.

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

S305, when the third sensor does not detect the human body, calculating sensor distances corresponding to the intensity signals broadcasted by the first sensor and the second sensor respectively, and taking the intensity signal corresponding to the minimum 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 may be only one distance class, for example, a first distance class, a second distance class, or the like, and may be specifically set by a technician according to actual requirements, for example, when the selected sensor distance calculation method is accurate, the specific value may be directly used as the sensor class, and when the calculation method is low in accuracy, the actual distance may be classified in advance and the corresponding distance class may be calculated.

As can be seen from the above description, in the embodiment of the present application, a plurality of sensors are simultaneously included, where a sensor that detects a human body generates and broadcasts an initial intensity signal as a signal source, and all the sensors also perform attenuation and broadcast forwarding of intensity parameter values on the received intensity signal, so that theoretically, the spatial distance between the sensor and the human body can be calculated according to the size of the intensity parameter values carried by the received intensity signal, but in practical applications, because each sensor broadcasts an intensity signal carrying an intensity parameter theoretically, and the intensity parameter values of the intensity signals are complex, at this time, for a single sensor, a plurality of intensity signals carrying different intensity parameter values may be simultaneously received, and at this time, the sensor cannot directly determine the distance between the human body according to the received intensity parameter values, intensity parameter values which can be used for judging the distance of the human body need to be screened out. Meanwhile, in consideration of the fact that human bodies may exist at different spatial positions in a spatial region in practical application, theoretically, for sensors with different distances from the human bodies, different spatial distances may exist, and at this time, when a single sensor is used for screening an intensity parameter value for judging the spatial distance, if the intensity parameter value is directly processed according to the received minimum intensity parameter value, a follow-up error in selecting a human body object to be actually monitored can be caused, and then user identification of a user cannot be normally performed.

In order to accurately judge the spatial distance between the sensor and the human body and prevent the occurrence of user identification errors under the condition that a plurality of human bodies exist, for a 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 selects the 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 should actually respond to in the embodiment of the application.

And S306, the third sensor identifies the spatial 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 less than the second distance and less than the third distance.

After the intensity signal of the actually required response is determined, the intensity parameter value carried by the intensity signal is directly read, because the initial intensity parameter value and the value of each attenuation are known data, the propagation number of the target response signal can be calculated based on the intensity parameter value, and meanwhile, the spatial distance between the sensors is also known data, the spatial distance between the third sensor and the first sensor serving as a signal source can be further calculated, and the first distance is added on the basis of the spatial distance, so that the third distance corresponding to the third sensor can be obtained. Since the distances from the second sensor and the third sensor to the first sensor are sequentially increased, the resulting first distance < the second distance < the third distance.

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

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

For a sensor with no human body in a spatial position, on one hand, intensity signals broadcast by other sensors are received, the spatial distance between a 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 intensity signals are used as a signal repeater to attenuate intensity parameter values of the received intensity signals, and the intensity signals with the attenuated intensity parameter values are broadcasted and 'retransmitted' to other sensors, so that the intensity parameter values are weakened along with the increase of the number of times and the distance of transmission after the intensity signals are broadcast by a signal source.

It can be known from the above description that, in the embodiment of the present application, through the mode of broadcasting the initial signal by the signal source and attenuating the "forwarding" intensity signal by the signal repeater, mutual cooperative work can be realized without information feedback and regulation and control by the main control device between different sensors, therefore, when a system of the sensor is constructed by using the sensor of the embodiment of the present application, the system complexity is low, the requirements on the installation environment and the installation personnel are extremely low, even if an abnormal or damaged sensor occurs, only a new sensor needs to be directly replaced, the installation and maintenance costs of the sensor are greatly saved, and meanwhile, through the mode of initially broadcasting the default intensity parameter and successively attenuating and forwarding, the spatial distance detection between the sensor and the human body is realized, and the effective tracking of the real-time position of the 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 strength parameter carried by the received strength signal, and broadcasting the strength signal after the value of the strength parameter is reduced.

In the embodiment of the present application, considering that a single sensor may be any one of three types of sensors under different conditions, and meanwhile, the single sensor does not know whether there are other sensors that need to receive the intensity signal and respond to the intensity signal, 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, the third sensor attenuates the intensity parameter value in the intensity signal and broadcasts the attenuated intensity signal, so that the other sensors in the spatial area can also normally receive the intensity signal "forwarded" by the third sensor, and perform operations such as sensor distance calculation in the second embodiment of the present application, thereby achieving cooperative work between the sensors. The specific method for reducing the intensity parameter value is not limited herein, and can be set by a technician according to actual requirements, including but not limited to, for example, performing the difference reduction of a fixed gradient each time, or performing the difference calculation of 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, it is considered that if the value of each attenuation of the sensor is too small, the sensor also performs spatial distance measurement on a distant human body, requirements for the size of a detected local space are different in different practical application scenarios, and when the required local space is small, if the value of each attenuation of the sensor is too small, the actual spatial distance measurement result of the sensor on the distant human body is useless, so that a meaningless workload is added to the sensor.

In order to meet the requirement of a small local space and prevent the sensor from measuring the distance of the human body with an excessively long spatial distance, as shown in fig. 4, in a fourth embodiment of the present application, the operation of the second sensor to attenuate the intensity parameter specifically includes:

s401, searching a decrement value corresponding to the value of the strength parameter carried by the received strength signal.

S402, updating the value of the intensity parameter carried by the received intensity signal by using the difference value between the value of the intensity parameter carried by the received intensity signal and the corresponding decrement value to obtain the intensity signal with the value of the intensity parameter reduced, wherein the value of the intensity parameter is in negative correlation with the decrement value.

In the fourth embodiment of the present application, different decrement values are set in advance for different intensity parameter values, and the smaller the intensity parameter value, the larger the corresponding decrement value is, so that the intensity parameter value is quickly attenuated in the "forwarding" process, and further, it is ensured that the sensor range of each human body corresponding to response is not too large, which is described as an example, assuming that the intensity parameter value range is 0-100, the default intensity parameter value in the initial intensity signal is set as 100, and the decrement values corresponding to the intensity parameter values 100 and 70 are set as 30 and 70, respectively, at this time, the intensity parameter value of each initial intensity signal is decreased to 0 by propagating twice at most, that is, only a sensor in a small range can receive an effective intensity parameter value, and therefore, except for a sensor detecting a certain human body, only few nearby sensors can respond to the human body, at the moment, the influence of a human body at a far position on the sensor can be reduced, and the requirement of a small-range response scene is effectively met. The specific size of the decrement value corresponding to each intensity parameter value may be set by a technician according to the actual requirement for the response range, which is not limited herein.

As another optional 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 large, it is required that the sensors in a large range around the human body can receive the effective intensity parameter value at this time, and therefore in the embodiment of the present application, the intensity parameter value and the decrement value may be positively correlated, or the decrement value is a small fixed value, for example, may be half of the current intensity parameter value.

As an optional embodiment of the present application, on the basis of the third and fourth embodiments of the present application, in consideration that a plurality of sensors may be simultaneously disposed in a spatial region in practical application, each sensor receives and broadcasts an intensity signal as in the second sensor in the embodiments of the present application, at this time, if each sensor directly broadcasts and "forwards" the received intensity signal, a large number of intensity signals are filled in the entire spatial region, which directly results in exponentially multiplying the workload of signal reception, processing and broadcasting of each sensor, and meanwhile, due to continuous propagation of the intensity signals, a sensor farther away from a human body may also be subjected to unnecessary interference to generate a false response. Therefore, in order to prevent the intensity signal from being propagated excessively, which causes an excessive sensor data processing amount and is likely to cause interference to a sensor that is too far away from the human body, in the fifth embodiment of the present application, the broadcast operation on the intensity signal specifically includes:

In the embodiment of the present application, the intensity parameter value attenuation is performed on the intensity signal received each time, and it is determined whether the attenuated intensity parameter value is smaller, and if the intensity parameter value is smaller than or equal to the preset intensity threshold, the broadcast "forwarding" of the intensity signal is directly stopped, that is, the intensity signal is continuously broadcast only when the intensity parameter value is greater than the intensity threshold. The specific size of the intensity threshold can be set by the skilled person according to the requirements of the practical application, and is not limited herein, including but not limited to, for example, 20% of the maximum intensity parameter value.

When the intensity parameter value of the intensity signal is attenuated to a certain degree, it is indicated that the distance between the sensor receiving the intensity signal and the human body is far away, and at this time, if the intensity signal is continuously transmitted, the intensity signal is possibly over-transmitted, so that the transmission of the intensity signal is directly stopped, the false response of the sensor is prevented, and meanwhile, the sensor stops the transmission of the intensity signal with a 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 amount of the sensor is greatly reduced.

As a specific implementation manner of calculating the sensor distance according to the intensity signal in the fourth embodiment of the present application, on the basis of the foregoing various embodiments of the present application, in consideration that the signal quality in the actual situation decreases with the increase of the propagation distance, in the sixth embodiment of the present application, the operation of calculating the sensor distance by detecting the quality of the received intensity signal to evaluate the distance between the sensors is specifically included:

and calculating the quality parameter corresponding to each received intensity signal, and searching the sensor distance corresponding to the quality parameter to obtain the sensor distance corresponding to each intensity signal.

In the embodiment of the present application, a corresponding relationship between signal quality and sensor distance is established in advance according to a loss condition when an intensity signal sent by an actual sensor propagates in a spatial region, where a specific corresponding relationship creation method is not limited herein, and includes, but is not limited to, for example, measuring the intensity signal quality received by the sensor at different signal transmission distances by a technician to obtain a corresponding relationship between required signal quality and sensor distance, and prestoring the corresponding relationship.

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 finds out the corresponding sensor distance according to the pre-stored corresponding relationship. The specific type of the quality parameter and the calculation method are not limited herein, and may be set by a technician according to actual requirements, including but not limited to using any one or more of signal strength, signal quality, signal reception success rate, signal loss rate, and the number of times of receiving signals within a preset time as the quality parameter in the embodiment of the present application, and performing calculation.

In the embodiment of the application, the sensor does not need to rely on excessive physical parameters when calculating the sensor distance, but merely by evaluating the signal quality of the received intensity signals and determining the corresponding sensor distance, therefore, the embodiment of the application can realize accurate quantification of the sensor distance without acquiring or setting parameters of other equipment in advance or performing linkage interaction with other equipment, the calculation process is independent and simple, for practical application, while sensor distance calculation is achieved, technicians do not need to carry out acquisition of any equipment parameters, design of equipment information interaction and processing and designing work of interaction information in advance, and only need to directly and independently install each sensor and start the sensor, so that hardware installation configuration and maintenance work in practical application is greatly reduced, and hardware cost and labor cost of equipment are greatly reduced.

As a specific implementation manner of calculating the quality parameter in the sixth embodiment of the present application, in consideration of that hardware calculation resources of the sensor are relatively limited in an actual situation, in order to reduce a workload of calculating the quality parameter, a relatively simple and easy method needs to be set to quantify the signal quality parameter of the intensity signal, and in a 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 length, and taking the receiving times as quality parameters.

In consideration of the fact that the signal is intermittent along with the increase of the propagation distance in the actual situation, in the embodiment of the present application, the quality parameter of the signal is quantified by the number of times of the received intensity signal in the unit time, wherein the specific preset time starting time and the specific preset time ending time may be set by a technician according to the actual situation, and optionally, the specific preset time ending time may be set as the current time for calculating the quality parameter, so as to ensure the real-time performance of the calculated quality parameter. Meanwhile, in order to accurately quantify the intensity signal quality parameter based on the intensity signal receiving times and accurately calculate the sensor distance, when the corresponding relationship between the signal quality and the sensor distance is preset, the broadcast frequency of the sensor during broadcasting the intensity signal, that is, the intensity signal is broadcasted several times per second, needs to be known in the embodiment of the present application to determine the accurate corresponding relationship, so that the frequency of the actual sensor broadcasting the intensity signal needs to be known in advance in the embodiment of the present application, and the corresponding relationship needs to be established as reference data.

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

As an embodiment of the present application, when a sensor broadcasts an intensity signal, theoretically, all sensors in all broadcasting ranges around the sensor can receive the intensity signal, and for a single sensor, the sensor will receive the intensity signal "forwarded" broadcasted by an adjacent sensor while "forwarding" the intensity signal broadcasted by the adjacent sensor, and at this time, if two intensity signals are the same signal, because the number of times and paths of propagation are different, the sensor will receive the intensity signals "forwarded" broadcasted by other adjacent sensors at the same time, and the intensity parameters of the two corresponding sensors are the same, but the magnitudes of the intensity parameters are different, for example, if the sensor a, the sensor B, and the sensor C are sequentially and equidistantly adjacent, the sensor B will attenuate and "forward" the intensity parameter of the intensity signal broadcasted by the sensor a, and when the sensor C receives the intensity signal broadcasted by the sensor B, similarly, the intensity parameter is attenuated and "forwarded", and for the sensor B, the sensor distances corresponding to the intensity signals broadcast by the sensors a and C are the same, but the intensity parameter value of the intensity signal broadcast by the sensor a is greater than the intensity parameter value of the intensity signal broadcast by the sensor C, and at this time, if the intensity parameter value of the intensity signal with the minimum sensor distance is directly determined according to the above methods in the embodiments of the present application, the determined intensity parameter value may be unstable, that is, may be large or small.

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

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

When the third sensor detects that a plurality of minimum sensor distances exist, namely, when a plurality of broadcast end sensors and the third sensor are the same and minimum in distance, the propagation times of the strength signals propagated in the reverse direction are considered to be more, so that the strength parameter values contained in the strength signals are smaller, the strength signals with the maximum strength parameter values can be directly screened out to serve as target response signals, the subsequent output mode is selected and output, the interference of the strength signals propagated in the reverse direction is eliminated, the sensors in the embodiment of the application can better adapt to the actual position of a human body to select and output the output mode, and the real-time and effective output is guaranteed.

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 different states of the sensors, but for a single sensor, the sensor may be any one of the three sensor types under different situations, so that the functional and principle descriptions of the first sensor, the second sensor and the third sensor in the above embodiments can be simultaneously applied to any one sensor in the first embodiment of the present application.

Corresponding to the method of the foregoing 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 relevant portions of the embodiment of the present application are shown. The plurality of sensors and the terminal device in the user identification system illustrated in fig. 5 may be the execution subject of the user identification method provided in the first embodiment.

As shown in fig. 5, a user identification system provided in the ninth embodiment of the present application includes: the terminal device comprises a plurality of sensors and a terminal device, wherein the sensors are respectively arranged at different spatial positions in a spatial region.

S501, the plurality of sensors are used for respectively detecting the spatial distance between the sensors and the human body and sending the detected spatial distance to the terminal device by taking the first frequency as a period.

And S502, the terminal device is used for identifying a local space of the human body in the space area when receiving the plurality of space distances each time according to the space position of each sensor and the plurality of space distances received each time, wherein the local space comprises at least one space position.

And S503, the terminal device is further used for drawing a moving path corresponding to the human body based on the plurality of identified local spaces, and identifying whether the human body is a legal user according to the moving 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 descriptions, background descriptions and beneficial effect descriptions may refer to the related descriptions of the first embodiment of the present application, which are not repeated herein.

As a tenth embodiment of the present application, on the basis of the ninth embodiment of the present application, the terminal device is specifically configured to:

and identifying the time period of the current time, and performing 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 records the plurality of legal users and one or more legal paths corresponding to the legal users in different time periods.

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

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

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

As an eleventh embodiment of the present application, on the basis of 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, the plurality of sensors include a first sensor, a second sensor, and a third sensor, 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 spatial distance between the first sensor and the human body.

The first sensor is further configured to generate an intensity signal and broadcast the generated intensity signal, where the generated intensity signal carries an intensity parameter with a preset value.

The second sensor is used for 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 when the intensity signal broadcasted by the first sensor is received.

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

And the third sensor is used for calculating sensor distances respectively corresponding to the intensity signals broadcasted by the first sensor and the second sensor 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 used for identifying the spatial 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 less than the second distance and less than the third 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 descriptions, background descriptions, and beneficial effect descriptions may refer to the related descriptions of the third embodiment of the present application, which are not repeated herein.

Meanwhile, in the eleventh embodiment of the present application, each sensor has two functions of signal receiving and broadcasting, where the signal receiving and broadcasting functions may be set to be simultaneously turned on according to different actual application requirements, and at this time, only corresponding hardware support is needed, or timing switching of the signal receiving and broadcasting functions may also be set, for example, the signal receiving and broadcasting functions are switched once every 0.5 second, and specifically, a technician may select and set the sensor according to the actual application requirements, which is not limited herein. In addition, in this embodiment of the application, when the sensor has detected a human body, the signal receiving function of the sensor may be set to be on, and at this time, the sensor may further continue to implement a "forwarding" function for 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 order to ensure that a plurality of human bodies may exist in a spatial region at the same time in consideration of an actual situation, and to accurately differentiate and draw movement paths of the respective human bodies, in the embodiment of the present application, in a process of drawing a local space and a movement 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:

For the specific principle description, background description and beneficial effect description, reference may be made to the corresponding description of the method embodiments of the present application, which is not repeated herein.

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

and searching a decrement 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 descriptions, background descriptions and beneficial effect descriptions may refer to the related descriptions of the fourth embodiment of the present application, which are not repeated herein.

As an embodiment thirteenth of the present application, on the basis of the eleventh embodiment 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 descriptions, background descriptions and beneficial effect descriptions may refer to the related descriptions of the fifth embodiment of the present application, which are not repeated herein.

As an embodiment fourteen of the present application, on the basis of the 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 descriptions, background descriptions and beneficial effect descriptions may refer to the related descriptions of the sixth embodiment of the present application, which are not described herein again.

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

The implementation principle of the fifteenth embodiment of the present application is the same as that of the seventh embodiment of the present application, and specific principle descriptions, background descriptions and beneficial effect descriptions can refer to the relevant descriptions of the seventh embodiment of the present application, which are not repeated herein.

As an embodiment sixteenth of the present application, on the basis of embodiment eleventh to fifteenth 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 descriptions, background descriptions and beneficial effect descriptions may refer to the related descriptions of the eighth embodiment of the present application, which are not described herein again.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

It will 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 this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".

Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance. It will also be understood that, although the terms first, second, etc. may be used herein to describe various elements in some embodiments of the application, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. 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 various described embodiments. The first table and the second table are both tables, but they are not the same table.

Reference throughout this 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 present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

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 implementation. 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 parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application, and are intended to be included within the scope of the present application.

Claims

1. A method for identifying a user, comprising:

2. The method according to claim 1, wherein each of the sensors is configured to detect a human body at the spatial position where the sensor is located, the plurality of sensors includes a first sensor, a second sensor and a third sensor, 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, and the method includes:

3. The method of claim 2, wherein the second sensor reducing the value of the intensity parameter carried by the received intensity signal comprises:

4. The method of claim 2, wherein the second sensor decrements the value of the intensity parameter carried by the received intensity signal and broadcasts the reduced value intensity signal, comprising:

5. The method of claim 2, wherein the third sensor calculates sensor distances corresponding to the intensity signals received from the first sensor and the second sensor, respectively, and comprises:

6. The method according to any one of claims 2 to 5, wherein the third sensor uses the intensity signal corresponding to the minimum sensor distance as the target response signal, and comprises:

7. The method according to any one of claims 1 to 5, wherein the identifying whether the human body is a legal user according to the moving path comprises:

and if the path matching fails, judging the human body as an illegal user.

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

9. The system of claim 8, wherein each of the sensors is configured to detect a human body at the spatial location, and the plurality of sensors includes a first sensor, a second sensor and a third sensor, the first sensor is a sensor for detecting a human body, and the second sensor is located at a smaller distance from the first sensor than the third sensor;

the first sensor is used for acquiring a first distance and taking the first distance as a spatial 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 preset value;

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

the second sensor is also used for identifying the spatial 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 sensor distances respectively corresponding to the received intensity signals broadcasted by the first sensor and the second sensor when a 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, and obtain a third distance, where the first distance < the second distance < the third distance.

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

and if the path matching fails, judging the human body as an illegal user.