CN112835036A - Method, device and equipment for generating mobile distribution diagram and storage medium - Google Patents
Method, device and equipment for generating mobile distribution diagram and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device, equipment and a storage medium for generating a mobile distribution diagram. The method comprises the following steps: driving a millimeter wave radar arranged in a space to detect coordinates of a user in the space; extracting original movement characteristics of the user when the user moves according to the coordinates; accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics; and generating a chart representing the distribution of the user in time when moving according to the target moving characteristics to serve as a moving distribution chart. The invention effectively solves the monitoring problem of families such as the elderly living alone, women living alone and the like, provides a reasonable and effective method for positioning, tracking and identifying the moving state of a user, simultaneously, compared with camera equipment, the millimeter wave radar has privacy, the individual privacy is effectively protected, the data volume of the millimeter wave radar is small, and a convenient and simple method is provided in data processing and data storage.
Description
Technical Field
The embodiment of the invention relates to the technical field of radar detection target positions and data processing, in particular to a method, a device, equipment and a storage medium for generating a movement distribution diagram.
Background
With the development of scientific and technological information technology, more intelligent monitoring equipment permeates into human life, the human life cannot be separated from the monitoring equipment, and the monitoring equipment provides people with a method for observing human activities more conveniently.
For the problem of user mobile monitoring, most of the prior art realizes user mobile monitoring based on a camera device. The user mobile monitoring method based on the camera device has the problems of large data processing capacity, poor personal privacy protection effect, leakage of private videos such as video data difficult to process and hacker intrusion, limited coverage range, complicated distribution analysis, unwillingness of most people to install the camera device in a private space and limited application range.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for generating a mobile distribution diagram, which aim to solve the problems of positioning, tracking and identifying the activity state of a user under the condition of protecting the privacy of the user.
In a first aspect, an embodiment of the present invention provides a method for generating a motion distribution map, where the method includes:
driving a millimeter wave radar arranged in a space to detect coordinates of a user in the space;
extracting original movement characteristics of the user when the user moves according to the coordinates;
accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics;
and generating a chart representing the distribution of the user in time when moving according to the target moving characteristics to serve as a moving distribution chart.
Optionally, the driving a millimeter wave radar arranged in a space to detect coordinates of a user in the space includes:
determining a millimeter wave radar arranged in a space;
receiving data detected by the millimeter wave radar every preset period, wherein the data comprises the distance between a user and the millimeter wave radar and the angle between the user and the millimeter wave radar, and the period is smaller than the time unit;
calculating coordinates of the user in the space based on the distance and the angle.
Optionally, the extracting, according to the coordinates, an original movement feature of the user when moving includes:
and calculating the distance between two adjacent coordinates on the period as the original movement characteristics of the user when moving.
Optionally, the accumulating the original motion features every interval time unit to obtain the target motion feature includes:
determining the starting time and the ending time of a time unit;
dividing the original mobile features between the start time and the end time into the same set;
and accumulating the original moving characteristics in the set to obtain target moving characteristics.
Optionally, the generating a graph representing a distribution of the user in time when moving according to the target movement feature as a movement distribution graph includes:
generating a graph, wherein the horizontal axis of the graph is time, and the vertical axis of the graph is a movement characteristic;
and drawing data in a specified form on the chart to obtain a movement distribution diagram which represents the distribution of the user in time when the user moves, wherein the abscissa of the data is the time unit, and the ordinate of the data is the target movement characteristic.
Optionally, the method further comprises:
generating a business event for the user according to the mobile distribution map;
and executing prompt operation matched with the service event to a specified terminal according to the communication mode set for the service event.
Optionally, the generating a service event for the user according to the mobile profile includes:
if the space mark is out, detecting the target moving feature in the moving distribution map;
if the target mobile feature is detected, generating a service event indicating theft;
or,
detecting the target movement feature within the time cell set to be active in the movement profile if the spatial signature is solitary;
if the target mobile characteristic is not detected and the continuous time unit exceeds a threshold value, generating a business event indicating that no home is gone out or an accident occurs;
or,
detecting the target movement feature within the time cell set to rest in the movement profile if the spatial signature is solitary;
and if the target movement characteristics are detected and the frequency of the target movement characteristics meets a preset condition, generating a business event representing sleep failure.
In a second aspect, an embodiment of the present invention further provides a device for generating a motion distribution map, including:
the coordinate detection module is used for driving a millimeter wave radar arranged in a space to detect the coordinate of a user in the space;
the original moving feature extraction module is used for extracting the original moving features of the user when the user moves according to the coordinates;
the target movement characteristic obtaining module is used for accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics;
and the moving distribution map generation module is used for generating a chart representing the distribution of the user in time during moving according to the target moving characteristics, and the chart is used as a moving distribution map.
Optionally, the coordinate detecting module includes:
a coordinate data determination submodule for determining a millimeter wave radar arranged in a space;
the coordinate data receiving submodule receives data detected by the millimeter wave radar at intervals of a preset period, the data comprises the distance between a user and the millimeter wave radar and the angle between the user and the millimeter wave radar, and the period is smaller than the time unit;
and the coordinate data calculation sub-module is used for calculating the coordinates of the user in the space based on the distance and the angle.
Optionally, the original moving feature extraction module includes:
and the original movement characteristic calculation submodule is used for calculating the distance between two adjacent coordinates on a period as the original movement characteristic of the user when the user moves.
Optionally, the target moving characteristic obtaining module includes:
the time acquisition submodule is used for determining the starting time and the ending time of the time unit;
an original moving feature classification submodule, configured to classify the original moving features located between the start time and the end time into a same set;
and the target moving characteristic obtaining submodule is used for accumulating the original moving characteristics in the set to obtain the target moving characteristics.
Optionally, the moving profile generation module includes:
the icon generation submodule is used for generating a chart, and the horizontal axis of the chart is time and the vertical axis of the chart is a moving characteristic;
and the moving distribution diagram obtaining sub-module is used for drawing data in a specified form on the chart and obtaining a moving distribution diagram which represents the distribution of the user in time when the user moves, wherein the abscissa of the data is the time unit, and the ordinate of the data is the target moving feature.
Optionally, the method further comprises:
a business event module, configured to generate a business event for the user according to the mobile profile;
and the prompt operation module is used for executing prompt operation matched with the business event to a specified terminal according to the communication mode set for the business event.
Optionally, the service event module includes:
an outgoing target mobile feature detection submodule, configured to detect the target mobile feature in the mobile distribution map if the spatial marker is outgoing;
the stolen business event generation submodule is used for generating a business event which represents theft if the target moving characteristic is detected;
or,
a solitary target movement feature detection sub-module to detect the target movement feature within the time unit set to be active in the movement profile if the spatial signature solitary;
the non-return unexpected service event generation sub-module is used for generating a service event which indicates that no return is made or an unexpected event occurs when the target mobile characteristic is not detected and the continuous time unit exceeds a threshold value;
or,
a solitary target movement feature detection sub-module to detect the target movement feature within the time unit set to rest in the movement profile if the spatial signature solitary;
and the sleep failing business event generation submodule is used for generating a business event representing sleep failing if the target moving characteristics are detected and the frequency of the target moving characteristics meets the preset conditions.
In a third aspect, an embodiment of the present invention further provides an apparatus for implementing generation of a moving profile, where the apparatus includes:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of generating a movement profile as described in any of the first aspects.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for generating the movement distribution map according to any one of the first aspect.
In the present embodiment, a millimeter wave radar disposed in a space is driven to detect coordinates of a user in the space; extracting original movement characteristics of the user when the user moves according to the coordinates; accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics; and generating a chart representing the distribution of the user in time when moving according to the target moving characteristics to serve as a moving distribution chart. The invention effectively solves the monitoring problem of families such as the elderly living alone, women living alone and the like, provides a reasonable and effective method for positioning, tracking and identifying the moving state of a user, simultaneously, compared with camera equipment, the millimeter wave radar has privacy, the individual privacy is effectively protected, the data volume of the millimeter wave radar is small, and a convenient and simple method is provided in data processing and data storage.
Drawings
Fig. 1 is a flowchart of a method for generating a motion distribution diagram according to an embodiment of the present invention;
fig. 2 is a flowchart of a service event generation and prompt operation according to a second embodiment of the present invention;
FIG. 3 is a moving profile according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for generating a motion distribution diagram according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for generating a mobile distribution diagram according to an embodiment of the present invention, where the method is applicable to monitoring daily life movement of a solitary old person, and the method may be executed by a device for generating a mobile distribution diagram, where the device for generating a mobile distribution diagram may be implemented by software and/or hardware, and may be configured in a computer device, such as a personal computer, a server, a workstation, an application program, and the like, and specifically includes the following steps:
s101, driving a millimeter wave radar arranged in a space to detect coordinates of a user in the space.
The technical scheme of the embodiment is realized by arranging a plurality of millimeter wave radar detectors in a specific space, wherein the specific space can be a living space of a specified user, such as a living room, a bedroom, a bathroom, an office and the like, the millimeter wave radar is installed in a certain space or a working position, and a radar detection signal is transmitted to detect the coordinate of the user in the space.
The millimeter wave radar is a radar that operates in a millimeter wave band (millimeter wave) for detection. Generally, the millimeter wave radar signal refers to a signal in a frequency domain (with a wavelength of 1-10 mm) of 30-300 GHz. The millimeter wave radar has the characteristics of high spatial resolution, strong penetrating power, interference resistance and the like, can distinguish and identify very small objects, and can simultaneously identify a plurality of objects. The received millimeter wave radar signal includes a transmission signal transmitted by the millimeter wave radar and used for identifying the object, and also includes a signal with attenuation delay generated by the reflection of the transmission signal by a reflector and the absorption of a part of energy by the reflector.
The radar sensor has a function of detecting the position and moving speed of the target. When the radar is deployed to a working position and works normally, the data of the current corresponding state in the detection range is output every moment. When the radar data exceeds a certain amount, the state and the law behind the data are difficult to be intuitively known by a common target.
The millimeter wave meter radar detector is internally provided with a signal transmitter and a signal receiver, after the millimeter wave radar signal transmitter transmits signals, the millimeter wave meter radar signal receiver obtains measurement data of a target user when receiving the signals, the measurement data comprises the distance and the angle of the user in the space, wherein the distance of the user in the space is that the signal receiver receives light returned from the user when the millimeter wave meter radar transmits light pulses, and the distance information of the target user is obtained by detecting the flight (round trip) time of the light pulses; the angle of the user in the space is the azimuth angle of the user calculated by the phase difference of millimeter radar waves reflected by the same parallel target received by the signal receiver.
The flying (round trip) time τ is calculated as follows:
d is the distance between the millimeter wave radar and the detected user, and c is the speed of light.
For two sinusoidal inputs x1、x2And the instantaneous output frequency is calculated as follows:
x1＝sin(w1t+Φ1)
x2＝sin(w2t+Φ2)
xout＝sin[(w1-w2)t+(Φ1-Φ2)]
wherein phi1Denotes x1Shifted phase of phi2Denotes x2Moving phase of (2), xoutIs the instantaneous output frequency of the millimeter wave radar, which is equal to the difference between the instantaneous frequencies of the two input sine functions, i.e. the output xoutIs equal to the difference between the phases of the two input signals.
The azimuth angle is calculated as follows:
the maximum azimuth angle view field calculation mode is as follows:
according to the difference between the phases of two input signals, converting into coordinate system (X)t,Yt),:
Where α represents the lateral distance and β represents the angle at which the user moves.
The millimeter wave radar outputs the target position of the current moving state at a certain period, and in specific implementation, the period can be every 1 second, 3 seconds and the like, and the period needs to be smaller than a time unit.
And S102, extracting the original movement characteristics of the user during movement according to the coordinates.
In this embodiment, each coordinate value of the user corresponds to each time point, the terminal divides a long time into a plurality of time units within a certain time range, and accumulates a distance between two adjacent coordinates on a cycle in the time unit. Specifically, when the user is in the T time range, the coordinate points moving in the time range are segmented by τ minutes, so that n-T/τ 60 time units are formed, and exemplarily, when T is in the 24-hour time range, τ is 1 minute, so that n-24/1-60 time units are formed, that is, n-1440 time units are formed.
Further, the moving distance is accumulated in a time unit, and the moving characteristics of the user are obtained and serve as the original moving characteristics of the user when the user moves. Specifically, the observation window is calculated according to the Fourier transform theoryThe port (T) can resolve frequency components spaced more than 1/THz apart,
will be provided with
Is substituted to obtain
Then, let S T B, the distance resolution be
Further, the moving distance is accumulated in a time unit, and the moving characteristics of the user are obtained and serve as the original moving characteristics of the user when the user moves. Specifically, the distance between two adjacent coordinates on a cycle is calculated:
d＝d1+d2+d3+…+dn
wherein the initial coordinate of two adjacent coordinates on the period is A (x)1,y1) The final coordinate is B (x)2,y2) When x1-x2Represents the distance the user moves on the x-axis, y1-y2The moving distance on the y-axis is calculated, so that the moving distance d1 of the user in the period can be obtained by calculating the distance between the two coordinates, and the moving distance in a time unit is accumulated to obtain the moving characteristic which is the original moving characteristic of the user when the user moves.
And S103, accumulating the original movement characteristics at intervals of time units to obtain the target movement characteristics.
In this embodiment, the target movement characteristic is obtained by accumulating the original movement characteristics every time unit. Firstly, determining the starting time and the ending time of a time unit, wherein the starting time is the time corresponding to the initial coordinate when the user moves for the first time in each interval time unit, the ending time is the time corresponding to the coordinate position when the user moves for the last time in the interval time unit, if the user movement is not detected in the time interval, the user movement is not generated in the interval time unit by default, and the target movement characteristic can be directly determined to be zero. Secondly, dividing the original mobile features between the starting time and the ending time into the same set, wherein the same set represents the user mobile features of the user in the current interval time unit, and further accumulating the original mobile features in the set to obtain the target mobile features.
The formula for realizing the accumulation of the original movement characteristics is as follows:
wherein f (i) is the accumulated value of the original movement characteristics in the time segment i, M (t) is the movement characteristic function of each moment in each time unit, the movement characteristics comprise the movement distance and the movement time, and tau is the time unit.
In a specific implementation, when a user segments within a time range T by taking τ minutes as a time segment, if a target position is output by taking 1 second as a period, a time unit of 1 minute includes a period of 60 times, original movement features acquired by the 60 times of periods within 1 minute are divided into a same set, and the original movement features acquired by the 60 times of periods in the set are accumulated to obtain target movement features in a current interval time unit, that is, n accumulated target movement features are formed.
And S104, generating a chart representing the distribution of the user in time during moving according to the target moving characteristics to serve as a moving distribution chart.
And after the target moving characteristics are obtained, inquiring user moving time corresponding to the target moving characteristics, and generating a chart which represents the distribution of the user in time when the user moves to be used as a moving distribution chart. Specifically, the graph is a two-dimensional graph, wherein a horizontal axis of the graph represents movement time of a user, a vertical axis of the graph represents target movement characteristics of the user, the movement time of the user corresponds to the target movement characteristics in a one-to-one correspondence mode, data in a specified form are drawn on the graph, the movement time of the horizontal axis is in a small unit of each time unit, a vertical axis movement distance corresponding to each time unit is displayed in a movement distribution graph, the movement distribution graph can visually see activity time distribution of the target user, know work and rest time of the user, and detect life regularity of the target user.
In the present embodiment, a millimeter wave radar disposed in a space is driven to detect coordinates of a user in the space; extracting original movement characteristics of the user when the user moves according to the coordinates; accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics; and generating a chart representing the distribution of the user in time when moving according to the target moving characteristics to serve as a moving distribution chart. The invention effectively solves the monitoring problem of families such as the elderly living alone, women living alone and the like, provides a reasonable and effective method for positioning, tracking and identifying the moving state of a user, simultaneously, compared with camera equipment, the millimeter wave radar has privacy, the individual privacy is effectively protected, the data volume of the millimeter wave radar is small, and a convenient and simple method is provided in data processing and data storage.
Example two
Fig. 2 is a flowchart of a service event generation and prompt operation provided in the second embodiment of the present invention, and the present embodiment further adds a mobile profile to generate a service event and prompt operation based on the foregoing embodiment, where the method specifically includes the following steps:
s201, driving a millimeter wave radar arranged in a space to detect coordinates of a user in the space.
And S202, extracting the original movement characteristics of the user during movement according to the coordinates.
And S203, accumulating the original movement characteristics at intervals of time units to obtain the target movement characteristics.
And S204, generating a chart representing the distribution of the user in time during moving according to the target moving characteristics to serve as a moving distribution chart.
And S205, generating a business event for the user according to the mobile distribution diagram.
In this embodiment, according to the movement distribution diagram of the user, the daily work and rest time of the user can be visually seen, and the movement characteristics corresponding to the daily work and rest time can be obtained. Illustratively, as shown in the movement profile of fig. 3, the profile indicates that the user has moved through the space on the day of the target date, i.e., the target day is someone in the home.
Further, the multiple cumulative movement profiles may roughly infer the daily working and rest time and the daily rule of the user, specifically, if 00: when the moving distance is very small or 0 at 30-08: 00, the rest time of the user at night can be preliminarily judged to be about 00: 30-08: 00, and marking the space as sleep.
If the mobile feature data of the user in the specific time period in the distribution diagram is abnormal, generating a business event corresponding to the mobile feature of the user, wherein the business event comprises the following conditions:
s2051, if the space mark is out, detecting a target moving feature in the moving distribution map; if the target mobile feature is detected, a business event indicative of theft is generated.
Illustratively, if the spatial signature is out, as shown in fig. 3, 10: 00-11: 30 and 12: 30-13: 30 is the time when the user goes out, so that any target moving feature should not be detected, however, if the large-amplitude target moving feature is detected in the moving distribution map, the target moving feature is preliminarily judged to be not the owner of the space user, the possible entry of a thief in the space is presumed, and a business event indicating theft is generated; if the detected target movement characteristic is a small-amplitude movement distance and does not exceed the threshold value of the movement distance, the method is preliminarily judged to be caused by noise, and the current target movement characteristic is ignored.
S2052, if the space mark is solitary, detecting the target movement characteristics in the time unit set to be active in the movement distribution map;
if the target movement characteristic is not detected and the time duration exceeds a threshold, a traffic event indicating that egress is not home or an unexpected occurrence is generated.
If the space is marked as solitary, as shown in fig. 3, 21: 30-23: the 00 time period is the home time of the user, the target mobile feature of the user is detected in the mobile distribution map, however, if the target mobile feature is not detected and the continuous time unit exceeds the threshold value, it can be preliminarily determined that the user does not return to the space when going out, and a business event which does not return when going out is generated; alternatively, when the detected target movement characteristic is a small-amplitude movement distance close to zero and the continuous time unit exceeds a threshold value, it may be preliminarily determined that an accident occurs due to an inconvenience of action such as a syncope or a leg injury, and an unexpected business event is generated.
S2053, if the space mark is solitary, detecting the target movement characteristics in the time unit set as rest in the movement distribution map;
and if the target movement characteristics are detected and the frequency of the target movement characteristics meets the preset conditions, generating a business event representing the failing sleep.
If the space is marked as solitary, as shown in fig. 3, 23: 30-06: the 00 time period is the rest time of the user, so the time unit for rest is set in the moving distribution map, however, in the time unit, if the moving distance is detected and the frequency of the moving distance meets the preset condition, it can be preliminarily determined that the user has poor sleep quality, and a service event indicating that the user has failed to sleep is generated. Wherein, the frequency of the moving distance accords with the preset condition and indicates that: when the user detects a large moving distance in the sleep time period, the user can be preliminarily judged to be not in the sleep state; or the user detects a small amplitude moving distance in the sleep time period and the duration exceeds the threshold, it can be preliminarily determined that the user is not in the normal sleep state in a shallow sleep or nightmare.
And S206, executing prompt operation matched with the business event to the appointed terminal according to the communication mode set for the business event.
When the abnormal target moving characteristics of the user are detected, the corresponding business event is generated, the prompt operation matched with the business event is executed to the appointed terminal according to the communication mode set for the business event, and when the holding user of the appointed terminal receives the prompt operation, the business event is verified according to the actual situation and the space user owner. The specific terminal execution manner may be a phone call, a short message, an app (application program) push message, and the like, which is not limited herein.
In one embodiment, if the space mark is out, the designated terminal receives a service event reminder for theft, the terminal holder and the space user confirm whether the theft event occurs, and if the space user determines that the space user does not return to the space and does not entrust other people to enter the space, the service event is determined to be the theft service event; if the business event occurs when the space user forgets that something comes back to take something, the business event is ignored.
In another embodiment, if the space mark is solitary, the designated terminal receives a service event reminder that the terminal is not returned to when the terminal goes out, the terminal holder and the space user confirm whether to return to the space, and if the terminal holder or the related responsible person cannot confirm or the space user cannot return to the space due to an accident, the terminal holder or the related responsible person takes corresponding measures.
In the present embodiment, a millimeter wave radar disposed in a space is driven to detect coordinates of a user in the space; extracting original movement characteristics of the user when the user moves according to the coordinates; accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics; generating a chart representing the distribution of the user in time when moving according to the target moving characteristics to serve as a moving distribution chart; generating a business event for the user according to the mobile distribution map; and according to the communication mode set for the service event, executing prompt operation matched with the service event to the appointed terminal. The implementation of the invention effectively solves the problems of distress monitoring and corresponding prompt operation of families such as the elderly living alone, women living alone and the like, provides a reasonable and effective abnormal behavior monitoring and corresponding notification measure method, and improves the safety of the users living alone.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
EXAMPLE III
Fig. 4 is a block diagram of a structure of a device for generating a motion distribution diagram according to a third embodiment of the present invention, which may specifically include the following modules:
a coordinate detection module 301 for driving a millimeter wave radar disposed in a space to detect coordinates of a user in the space;
an original moving feature extraction module 302, configured to extract an original moving feature of the user when the user moves according to the coordinates;
a target movement characteristic obtaining module 303, configured to accumulate the original movement characteristics at intervals of time units to obtain a target movement characteristic;
a moving distribution map generating module 304, configured to generate, as a moving distribution map, a graph representing a distribution over time when the user moves according to the target moving feature.
Optionally, the coordinate detecting module includes:
a coordinate data determination submodule for determining a millimeter wave radar arranged in a space;
the coordinate data receiving submodule receives data detected by the millimeter wave radar at intervals of a preset period, the data comprises the distance between a user and the millimeter wave radar and the angle between the user and the millimeter wave radar, and the period is smaller than the time unit;
and the coordinate data calculation sub-module is used for calculating the coordinates of the user in the space based on the distance and the angle.
Optionally, the original moving feature extraction module includes:
and the original movement characteristic calculation submodule is used for calculating the distance between two adjacent coordinates on a period as the original movement characteristic of the user when the user moves.
Optionally, the target moving characteristic obtaining module includes:
the time acquisition submodule is used for determining the starting time and the ending time of the time unit;
an original moving feature classification submodule, configured to classify the original moving features located between the start time and the end time into a same set;
and the target moving characteristic obtaining submodule is used for accumulating the original moving characteristics in the set to obtain the target moving characteristics.
Optionally, the moving profile generation module includes:
the icon generation submodule is used for generating a chart, and the horizontal axis of the chart is time and the vertical axis of the chart is a moving characteristic;
and the moving distribution diagram obtaining sub-module is used for drawing data in a specified form on the chart and obtaining a moving distribution diagram which represents the distribution of the user in time when the user moves, wherein the abscissa of the data is the time unit, and the ordinate of the data is the target moving feature.
Optionally, the method further comprises:
a business event module, configured to generate a business event for the user according to the mobile profile;
and the prompt operation module is used for executing prompt operation matched with the business event to a specified terminal according to the communication mode set for the business event.
Optionally, the service event module includes:
an outgoing target mobile feature detection submodule, configured to detect the target mobile feature in the mobile distribution map if the spatial marker is outgoing;
the stolen business event generation submodule is used for generating a business event which represents theft if the target moving characteristic is detected;
or,
a solitary target movement feature detection sub-module to detect the target movement feature within the time unit set to be active in the movement profile if the spatial signature solitary;
the non-return unexpected service event generation sub-module is used for generating a service event which indicates that no return is made or an unexpected event occurs when the target mobile characteristic is not detected and the continuous time unit exceeds a threshold value;
or,
a solitary target movement feature detection sub-module to detect the target movement feature within the time unit set to rest in the movement profile if the spatial signature solitary;
and the sleep failing business event generation submodule is used for generating a business event representing sleep failing if the target moving characteristics are detected and the frequency of the target moving characteristics meets the preset conditions.
The device for generating the movement distribution diagram provided by the embodiment of the invention can execute the method for generating the movement distribution diagram provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 5 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 5 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 5, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing a method of generating a movement profile provided by an embodiment of the present invention.
EXAMPLE five
The fifth embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the method for generating a motion distribution diagram, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here.
A computer readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for generating a movement distribution diagram is characterized by comprising the following steps:
driving a millimeter wave radar arranged in a space to detect coordinates of a user in the space;
extracting original movement characteristics of the user when the user moves according to the coordinates;
accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics;
and generating a chart representing the distribution of the user in time when moving according to the target moving characteristics to serve as a moving distribution chart.
2. The method of claim 1, wherein driving a millimeter wave radar disposed in a space to detect coordinates of a user in the space comprises:
determining a millimeter wave radar arranged in a space;
receiving data detected by the millimeter wave radar every preset period, wherein the data comprises the distance between a user and the millimeter wave radar and the angle between the user and the millimeter wave radar, and the period is smaller than the time unit;
calculating coordinates of the user in the space based on the distance and the angle.
3. The method of claim 1, wherein extracting the original movement features of the user while moving according to the coordinates comprises:
and calculating the distance between two adjacent coordinates on the period as the original movement characteristics of the user when moving.
4. The method of claim 1, wherein accumulating the original motion characteristics to obtain a target motion characteristic per interval time unit comprises:
determining the starting time and the ending time of a time unit;
dividing the original mobile features between the start time and the end time into the same set;
and accumulating the original moving characteristics in the set to obtain target moving characteristics.
5. The method according to claim 1, wherein the generating a graph representing a distribution of the user's movement over time as a movement profile from the target movement characteristics comprises:
generating a graph, wherein the horizontal axis of the graph is time, and the vertical axis of the graph is a movement characteristic;
and drawing data in a specified form on the chart to obtain a movement distribution diagram which represents the distribution of the user in time when the user moves, wherein the abscissa of the data is the time unit, and the ordinate of the data is the target movement characteristic.
6. The method of any one of claims 1-5, further comprising:
generating a business event for the user according to the mobile distribution map;
and executing prompt operation matched with the service event to a specified terminal according to the communication mode set for the service event.
7. The method of claim 6, wherein generating the traffic event for the user according to the movement profile comprises:
if the space mark is out, detecting the target moving feature in the moving distribution map;
if the target mobile feature is detected, generating a service event indicating theft;
or,
detecting the target movement feature within the time cell set to be active in the movement profile if the spatial signature is solitary;
if the target mobile characteristic is not detected and the continuous time unit exceeds a threshold value, generating a business event indicating that no home is gone out or an accident occurs;
or,
detecting the target movement feature within the time cell set to rest in the movement profile if the spatial signature is solitary;
and if the target movement characteristics are detected and the frequency of the target movement characteristics meets a preset condition, generating a business event representing sleep failure.
8. An apparatus for generating a motion distribution map, comprising:
the coordinate detection module is used for driving a millimeter wave radar arranged in a space to detect the coordinate of a user in the space;
the original moving feature extraction module is used for extracting the original moving features of the user when the user moves according to the coordinates;
the target movement characteristic obtaining module is used for accumulating the original movement characteristics at intervals of time units to obtain target movement characteristics;
and the moving distribution map generation module is used for generating a chart representing the distribution of the user in time during moving according to the target moving characteristics, and the chart is used as a moving distribution map.
9. A generating device for implementing a movement profile, the device comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of generating a movement profile as claimed in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of generating a movement profile according to any one of claims 1 to 7.
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