CN115330270A - Target user risk judgment method and device, electronic device and storage medium - Google Patents

Target user risk judgment method and device, electronic device and storage medium Download PDF

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CN115330270A
CN115330270A CN202211249211.XA CN202211249211A CN115330270A CN 115330270 A CN115330270 A CN 115330270A CN 202211249211 A CN202211249211 A CN 202211249211A CN 115330270 A CN115330270 A CN 115330270A
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target user
digital fence
digital
risk
fence
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韩伟
王艳华
李慧
李以斌
张体中
苏仁玲
刘孟鑫
赵国康
王涛
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Taiji Computer Corp Ltd
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Abstract

The invention provides a risk judgment method and device for a target user, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring an action track of a target user based on a health code program of the target user, wherein the action track comprises a plurality of time points and geographic positions associated with each time point; acquiring a digital fence in an activated state based on the plurality of time points; and judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence. The technical problems that in the prior art, the user risk state judgment efficiency is low and the accuracy is poor are solved.

Description

Target user risk determination method, target user risk determination device, electronic device, and storage medium
Technical Field
The application relates to the field of intelligent epidemic situation prevention and control, in particular to a risk judgment method and device for a target user, electronic equipment and a storage medium.
Background
At present, epidemic prevention and control are implemented around the country by adopting epidemic prevention strategies of timely discovery, rapid disposal and accurate control, so that the epidemic situation is effectively controlled, and the accurate epidemic prevention and control is a current and future normalized epidemic prevention strategy. According to the normalized epidemic prevention strategy, the health code is strictly temperature-measured and scanned in various public places, units, buildings and communities (villages), and the health code plays an irreplaceable important role in normalized prevention and control work. The wide application of the health code is an innovative measure in the treatment of major sudden public events, and plays a vital role in controlling epidemic spread and re-working and re-producing. The information collected by the health code includes: the name, telephone number, positioning information, nucleic acid detection result, vaccination condition, recent travel history, whether to stay in high-risk areas and stay time in epidemic situations, whether to contact COVID-19 to confirm patients and close contacts thereof and the like of users, and the application scene of the health code comprises the following steps: the method comprises the following steps of authentication of travel entry, check of personnel entry and exit registration of public places and communities, flow tracking of post workers, epidemiological investigation of suspected infected persons and the like. The health code is scanned when the patient enters public places, units, buildings, communities (villages) and the like, personal health information is reported and used as an entering health certificate, and the patient can also be tracked after a new coronary pneumonia patient is confirmed, so that the patient can be tracked and isolated as soon as possible, and the method plays an important role in blocking spread of epidemic situations. For example, if a person is found out that the new coronary pneumonia is diagnosed, the health code behavior trajectory of the person is analyzed, other people who scan codes at the same place and in the same time period with the person are determined to be closely contacted people, and the health codes of the closely contacted people can be correspondingly reminded to assist epidemic prevention personnel to utilize the health codes to control.
It should be noted that, at present, the behavior trajectory analysis is performed by using health codes, and mainly, the user location information provided by a GPS and a mobile phone base station signal is subjected to space-time correlation analysis to determine whether a user is a risk user and to collect prevention and control measures such as isolation, but in the prior art, after a confirmed user is determined, a street or a small area where the confirmed user is located is often manually divided into a risk area, and then a person who has passed through the risk area is determined as a risk user, so that the method is low in efficiency and the accuracy of determining the risk user is not high.
Disclosure of Invention
The present invention is directed to overcome the above technical deficiencies, and provide a method, an apparatus, an electronic device and a storage medium for risk assessment of a target user, so as to solve the technical problems of low efficiency and poor accuracy in determining a risk state of a user in the prior art.
According to a first aspect of the present invention, there is provided a method for determining a risk of a target user, comprising: acquiring an action track of a target user based on a health code program of the target user, wherein the action track comprises a plurality of time points and geographic positions associated with each time point; acquiring a digital fence in an activated state based on the plurality of time points; and judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence.
Further, determining whether the target user is in a risk state based on the action track of the target user and the digital fence comprises: determining that the target user is at risk if the geographic location associated with any of the plurality of time points is within the digital fence.
Further, the method further comprises: activating the digital fence, wherein activating the digital fence comprises: acquiring position information of a plurality of places accessed by a risk user and time information associated with each place based on a health code program of the risk user; generating a digital fence according to the position information of the plurality of places and the time information associated with each place, wherein the position information of the plurality of places determines the region range of the digital fence, and the time information associated with the plurality of places determines the time range of the digital fence; and activating the digital fence under the condition that the identity information of the risky user is detected to be calibrated.
Further, the plurality of time points includes a first time point, and the digital fence is multiple, wherein determining that the geographic location associated with the first time point is within the digital fence comprises: acquiring a plane map from a geographic information system, and establishing a plane coordinate system on the plane map, wherein in the plane coordinate system, the transverse direction of the plane map is the X-axis direction of the plane coordinate system, and the longitudinal direction of the plane map is the Y-axis direction of the plane coordinate system; carrying out gridding processing on the plane coordinate system according to a preset strategy to generate a plurality of grids of the plane map, wherein each grid is associated with an actual geographic position; and determining whether the geographic position associated with the first time point belongs to the digital fence or not according to a first abscissa and a first ordinate of the geographic position associated with the first time point in the plane coordinate system, the number of grids in each row of a plurality of grids of the plane map and the side length of each grid.
Further, the method further comprises: numbering the grids according to a preset sequence; respectively determining the number of each digital fence covering a grid in a plurality of digital fences based on the geographical range of the digital fence, wherein whether the geographical position associated with the first time point belongs to the digital fence or not is determined according to a first abscissa and a first ordinate of the geographical position associated with the first time point in the plane coordinate system, the number of grids in each row of a plurality of grids of the plane map, and the side length of each grid, and the method comprises the following steps:
obtaining the grid number of the geographic position associated with the first time point in the plane coordinate system by the following calculation formula:
Ax=int(Xa/d);
Ay=int(Ya/d);
GridNumerA=(Ay*rowLen)+Ax+1;
xa is the first abscissa, ya is the first ordinate, gridNumeriA is the grid number of the geographic position associated with the first time point in the planar coordinate system, and rowLen is the grid number of each row in the multiple grids of the planar map; d is the side length of each grid;
determining whether the geographic position associated with the first time point belongs to the digital fence according to the grid number of the geographic position associated with the first time point in the plane coordinate system and the number of each digital fence in the plurality of digital fences covering the grid.
Further, the method further comprises: counting the number of the geographic positions associated with the multiple time points belonging to the digital fence; generating the risk level of the target user according to the number; and adjusting the display strategy in the health code program of the target user according to the risk level of the user.
According to a second aspect of the present invention, there is provided a risk assessment device for a target user, comprising: the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining an action track of a target user based on a health code program of the target user, and the action track comprises a plurality of time points and geographic positions related to each time point; a second obtaining unit, configured to obtain a digital fence in an activated state based on the multiple time points; and the judging unit is used for judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence.
Further, the determination unit includes: a determination module for determining that the target user is at risk if the geographic location associated with any of the plurality of time points is within the digital fence.
According to a third aspect of the present invention, there is provided an electronic apparatus comprising: a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor, when executing the computer readable program, implements the steps in the method as in any one of the above.
According to a fourth aspect of the present invention there is provided a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of the method as claimed in any one of the above.
The invention provides a risk judgment method and device of a target user, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring an action track of a target user based on a health code program of the target user, wherein the action track comprises a plurality of time points and geographic positions associated with each time point; acquiring a digital fence in an activated state based on the plurality of time points; and judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence. The technical problems that in the prior art, the user risk state judgment efficiency is low and the accuracy is poor are solved.
Drawings
Fig. 1 is a flowchart of a risk determination method for a target user according to an embodiment of the present invention;
fig. 2 is a schematic diagram of establishing a coordinate system on a planar map based on a geographic information system platform according to an embodiment of the present invention;
fig. 3 is a schematic diagram of gridding a planar map according to an embodiment of the present invention;
fig. 4 is a schematic diagram of digital fence establishment on a planar map according to activated digital fence information provided by an embodiment of the present invention;
fig. 5 is a schematic diagram of a risk determination device for a target user according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present application better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
The present disclosure provides a method for determining a risk of a target user, and fig. 1 is a flowchart of a method for determining a risk of a target user according to an embodiment of the present disclosure, and as shown in fig. 1, the method includes:
step S11, acquiring an action track of a target user based on a health code program of the target user, wherein the action track comprises a plurality of time points and geographic positions associated with each time point.
Specifically, in the present solution, a device having a data processing function, such as a server, may be used as an execution main body of the method of the present solution, the health code program may be run on a terminal device (e.g., a mobile phone), if it is determined whether a user is a risk user (e.g., there is a space-time intersection with a patient and there is an infection risk), the user may be referred to as a target user, the action trajectory of the target user is obtained through the health code program of the target user, and the action trajectory of the target user may include which different places the user has gone at different time points.
It should be noted that the action track information includes geographic positions corresponding to different time points, and the geographic position of the user changes at different time points, so as to form a track. The health code program is applied to a mobile terminal of a user, and the mobile terminal can acquire the movement track of the mobile terminal as the action track information of the user; the action track information of the target user in the past time period can be obtained, the setting can be carried out according to the specific situation of the epidemic situation, for example, the latent period of the new crown epidemic situation at the time is 14 days, the time length of the target user needing to be checked can be calculated according to the last time of a confirmed case appearing in a certain place, and the action track information of the target user in the past time period can be obtained according to the time length. In addition, if the method is applied to the management equipment of the place management institution, the management equipment can be allowed to establish communication connection with the mobile terminal of the user, obtain the action track information of the user based on the communication connection, and obtain the track of how long the user is consistent with the application time of the mobile terminal.
And S13, acquiring the digital fence in the activated state based on the multiple time points.
Specifically, if it is determined whether the target user is a risk user, the scheme may acquire the activated digital fence through a plurality of time points of the behavior trajectory of the target user, that is, the socially activated digital fence at different time points in the behavior trajectory of the user, where it is to be noted that the digital fence is constantly and automatically updated according to epidemic situations in different places. The different time points all correspond to the digital fence at that time point.
For example, for now judging whether a target user zhang is a risk user, a track of zhang san within a preset time period is obtained through a health code program of zhang san: when the user goes to the site B at the time point A and goes to the site D at the time point C, the scheme firstly acquires the digital fence with the social state of the activated state at the time point A and the time point B.
It should be noted that the digital fence is an application of location-based services, and it uses a virtual fence to enclose a virtual geographic boundary under the support of the geographic information system platform. When the mobile terminal enters the virtual geographic area, or is active within the area, the handset may receive the relevant information.
And S15, judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence.
Specifically, according to the scheme, whether the target user is in a risk state or not can be judged according to the action track of the target user and the digital fence, and if the target user is in the risk state, preventive and control measures such as nucleic acid making, isolation and the like need to be taken for the target user.
It should be noted here that according to the scheme, a digital fence can be formed based on a geographic information system platform according to the behavior track of the diagnostician, and whether the current person belongs to the epidemic situation risk group or not is automatically judged based on the position relationship between the current person and the digital fence information. According to the scheme, the time point in the action track of the target user is called, the digital fence in the activated state at the time point is obtained, whether the target user is in the risk state is judged based on the action track and the digital fence of the target user, a large amount of manpower is not needed for questionnaire survey in the process, and the accurate judgment of the risk state of the target user can be realized.
Optionally, the step S15 determines whether the target user is in a risk state based on the action track of the target user and the digital fence, and includes:
step S151, determining that the target user is in a risk state when the geographic location associated with any one of the plurality of time points is within the digital fence.
Specifically, if the geographic location of the user at any time point of the multiple time points in the user behavior trajectory matches the digital fence, the target user is determined as a risk state, and the following specific description is made for determining the location relationship between the behavior trajectory and the digital fence: the action track is composed of different time points and positions corresponding to the time points, and the positions of the different time points and the digital fence can be compared in relation, so that the position relation between the action track and the digital fence at the different time points is calculated; the action track at different time points is a point, the digital fence is a surface, namely a geographic area range, if the point is in the surface, the action track at the time point is matched with the digital fence, if the point is outside the surface, the action track at the time point is not matched with the digital fence; after the position relation of each time point is determined, if the action track exists in the digital fence area, the situation that the user appears or stays in the risk area and the epidemic situation risk exists is shown.
Optionally, the method of this scheme further includes: activating the digital fence, wherein activating the digital fence comprises:
step S21, based on the health code program of the risky user, obtaining the location information of a plurality of locations where the risky user comes in and goes out and the time information associated with each location.
Step S23, generating a digital fence according to the position information of the plurality of places and the time information associated with each place, wherein the position information of the plurality of places determines the region range of the digital fence, and the time information associated with the plurality of places determines the time range of the digital fence;
and S25, activating the digital fence under the condition that the identity information of the risky user is detected to be calibrated.
Specifically, if the risk user is diagnosed as an infected patient, for example, the scheme acquires the information of infection in the health code program of the risk user, the risk user is automatically calibrated, and the scheme automatically constructs and activates the digital fence.
It should be noted that, in the above steps S21 to S25, specific technical details of the establishment (activation) of the digital fence are described, the risk user may apply for a location code by using a health code applet for each user of the health code program, and may apply for information such as an applicant name, an identification number, a mobile phone number, a unit name, a unit location, and the like by collecting the information, where the unit location information includes a unit location area, a street, and a unit detailed address, and the unit detailed address is accurate to a specific house number and a location entrance, and reaches a location code and an entrance code. And receiving place information input by a health code applet by a user, and analyzing the position of the place by using a geographic information system platform (all mainstream GIS platforms such as Google, baidu and Goodpasture maps) to form actual geographic area position information in the digital fence setting information. According to the requirements of normalized epidemic situation prevention and control, when people come in and go out of various places, personal health codes need to be scanned, wherein the health codes are personal identity two-dimensional codes similar to electronic identity cards and comprise personal names, identity card numbers, personal health information, travel tracks and the like, and if people are diagnosed to infect an epidemic situation, the digital fence corresponding to the place where the people use the health codes to scan in the past 14 days is activated.
Optionally, the determining that the geographic location associated with the first time point is within the digital fence includes:
step S1511, acquiring a plane map from a geographic information system, and establishing a plane coordinate system on the plane map, wherein in the plane coordinate system, the transverse direction of the plane map is the X-axis direction of the plane coordinate system, and the longitudinal direction of the plane map is the Y-axis direction of the plane coordinate system;
specifically, with reference to fig. 2, fig. 2 is a schematic diagram of establishing a coordinate system on a plane map based on a geographic information system platform according to an embodiment of the present invention, where a corner of the plane map is used as an origin of the coordinate system, a transverse direction of the plane map is used as an X-axis direction, and a longitudinal direction of the plane map is used as a y-axis direction.
Step S1513, performing gridding processing on the plane coordinate system according to a preset strategy, and generating a plurality of grids of the plane map, wherein each grid is associated with an actual geographic position.
Specifically, with reference to fig. 3, fig. 3 is a schematic diagram of gridding a planar map according to an embodiment of the present invention, and the present invention may perform gridding processing on the planar map, and divide the planar map into a plurality of square grids.
Step S1515, determining whether the geographic location associated with the first time point belongs to the digital fence according to the first abscissa and the first ordinate of the geographic location associated with the first time point in the planar coordinate system, the number of grids in each row of the multiple grids of the planar map, and the side length of each grid.
Specifically, according to the scheme, the grid numbers corresponding to the action track points can be obtained through the coordinates of the action track points, the digital fence numbers to which the action track points belong are obtained, the position relation between the action track points and the digital fences is obtained, and the quantity of the action track points in the area represented by the digital fences can be counted.
Optionally, the method further includes: numbering the grids according to a preset sequence; and respectively determining the number covered to the grid by each digital fence in the plurality of digital fences based on the regional range of the digital fences.
Specifically, with reference to fig. 3, the grids are sequentially numbered in the order from the origin of the coordinate system along the X axis and then along the Y axis, and with reference to fig. 4, fig. 4 is a schematic diagram of establishing digital fences on the planar map according to the activated digital fence information according to the embodiment of the present invention.
Optionally, with reference to fig. 4, the digital fences may also be numbered, and the scheme may count the grid numbers included in each digital fence to obtain a fence number to which each grid belongs; the digital fence as exemplified by number 1 in FIG. 4 contains grid numbers [24,25,33,34,35,43,44]; the number 2 digital fence includes a grid number [37,38,39,46,47,48,49,56,57,58,59].
Optionally, determining whether the geographic position associated with the first time point belongs to the digital fence according to a first abscissa and a first ordinate of the geographic position associated with the first time point in the planar coordinate system, the number of grids in each row of the multiple grids of the planar map, and the side length of each grid, includes:
step S31, obtaining a grid number of the geographic position associated with the first time point in the plane coordinate system by using the following calculation formula:
Ax=int(Xa/d);
Ay=int(Ya/d);
GridNumerA=(Ay*rowLen)+Ax+1;
the Xa is the first abscissa, the Ya is the first ordinate, the GridNumeriA is the grid number of the geographic position associated with the first time point in the planar coordinate system, and the rowLen is the grid number of each row in the multiple grids of the planar map; d is the side length of each grid;
step S33, determining whether the geographic location associated with the first time point belongs to the digital fence according to the grid number of the geographic location associated with the first time point in the planar coordinate system and the number of each digital fence covered by the grid in the plurality of digital fences, and in the case where gridnomea exists in the number of each digital fence covered by the grid, determining whether the geographic location associated with the first time point belongs to the digital fence.
Specifically, the following describes a further example of the above steps S31 to S33:
if the coordinates of the action track point A are (Xa, ya), calculating a corresponding network number GridNumeriA through the action track point A, and acquiring the number of the digital fence to which the action track point A belongs, wherein the specific method comprises the following steps: firstly, respectively acquiring a horizontal coordinate Xa and a vertical coordinate Ya of a track point A; secondly, acquiring the side length d of the grid; secondly, dividing the horizontal coordinate Xa and the vertical coordinate Ya of the track point A by the side length d of the grid, and respectively carrying out rounding operation to obtain Ax and Ay: ax = int (Xa/d), ay = int (Ya/d), and then grid number gridnomea corresponding to the locus point a (Xa, ya) is calculated to be (Ay _ rowLen) + Ax +1, i.e., gridnomea = (Ay _ rowLen) + Ax +1, wherein rowLen is the number of grids per line. And finally, searching by using the grid number GridNumera as a condition, judging whether the GridNumera belongs to the grid number contained in a certain digital fence, if the GridNumera belongs to the grid number contained in the certain digital fence, returning the fence number of the digital fence, and if the GridNumera does not belong to the grid number contained in the certain digital fence, returning the result to be zero. And if the query return result is not zero, the track point A belongs to the digital fence corresponding to the return result value.
The digital fence is generated according to the action track of a diagnostician, has high epidemic situation recognition accuracy in time and space, and is a direct passive mode for acquiring the action track of a user, so that the behavior track is prevented from being hidden intentionally or unintentionally by the user, and an automatic supervision method is provided for the normalized prevention and control of the current epidemic situation. For example, the user may adopt the action track information of the user's own device, and then, according to the digital fence information issued by the epidemic prevention organization, the digital fence information may include an electronic character fence corresponding to an area with a serious epidemic situation in a certain province or a certain city range, and the user health code outputs an analysis result to the user based on the digital fence information and the action track information obtained by the device, thereby realizing the automatic supervision of the epidemic situation risk by the user. In addition, epidemic prevention personnel in the epidemic prevention area can also adopt the corresponding management equipment to collect digital fence information issued by an epidemic prevention organization so as to scan and analyze the user health code, and further determine whether to pass the coming and going personnel.
Optionally, the method further includes:
counting the number of the geographic positions associated with the multiple time points belonging to the digital fence;
generating the risk level of the target user according to the number;
and adjusting a display strategy in the health code program of the target user according to the risk level of the target user.
It should be noted that, the present solution may further accurately count the number of times that a target user falls into a digital fence in the action trajectory, if the number of times is large, it indicates that the risk level of the target user is high, and the present solution adjusts the display policy in the health code program of the target user according to the risk level of the target user, for example, different serial numbers of pop windows, so as to remind the supervisors in various places.
In conclusion, on the basis that the health code is required to be scanned by the existing epidemic situation prevention and control, the digital fence is constructed based on the geographic information system platform according to the behavior track provided by the health code of the diagnostician, the position relation between the behavior track of the current personnel and the digital fence is judged, whether the current personnel belong to the epidemic situation risk group or not is automatically judged, and the method provides an automatic supervision mode during the epidemic situation normalized prevention and control period.
Example two
The present application further provides a risk determination apparatus for a target user, which may be configured to execute the method in the first embodiment, as shown in fig. 5, where fig. 5 is a schematic diagram of the risk determination apparatus for a target user according to an embodiment of the present invention, and the apparatus includes:
the first obtaining unit 50 is configured to obtain an action track of a target user based on a health code program of the target user, where the action track includes multiple time points and a geographic location associated with each time point; a second obtaining unit 52, configured to obtain the activated digital fence based on the multiple time points; a determination unit 54, configured to determine whether the target user is in a risk state based on the action track of the target user and the digital fence.
According to the scheme, the digital fence can be formed based on the geographic information system platform according to the behavior track of the diagnostician, and whether the current personnel belong to epidemic situation risk groups or not is automatically judged based on the position relation between the current personnel and the digital fence information. According to the scheme, the time point in the action track of the target user is called, the digital fence in the activated state at the time point is obtained, whether the target user is in the risk state or not is judged based on the action track of the target user and the digital fence, questionnaire survey is not needed in the process, and accurate judgment of the risk state of the target user can be achieved.
Optionally, the determining unit includes: a determination module for determining that the target user is at risk if the geographic location associated with any of the plurality of time points is within the digital fence.
The present invention also provides an electronic device, comprising: a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor, when executing the computer readable program, implements the steps in the method of any of the embodiments.
The present invention also provides a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of the method of any of the embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art will recognize that the embodiments described in this specification are preferred embodiments and that acts or modules referred to are not necessarily required for this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (such as a ROM/RAM, a magnetic disk, and an optical disk), and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, or a network device) to execute the method described in the embodiments of the present application.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
Optionally, in this embodiment, the storage medium may include but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or in other forms.
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 position, or may be distributed on multiple 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.
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 may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that, as will be apparent to those skilled in the art, numerous modifications and adaptations can be made without departing from the principles of the present application and such modifications and adaptations are intended to be considered within the scope of the present application.

Claims (10)

1. A method for determining a risk of a target user, comprising:
acquiring an action track of a target user based on a health code program of the target user, wherein the action track comprises a plurality of time points and a geographic position associated with each time point;
acquiring a digital fence in an activated state based on the plurality of time points;
and judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence.
2. The method of claim 1, wherein determining whether the target user is at risk based on the target user's trajectory of action and a digital fence comprises:
determining that the target user is at risk if the geographic location associated with any of the plurality of time points is within the digital fence.
3. The method of claim 2, further comprising: activating the digital fence, wherein activating the digital fence comprises:
acquiring position information of a plurality of places accessed by a risk user and time information associated with each place based on a health code program of the risk user;
generating a digital fence according to the position information of the plurality of places and the time information associated with each place, wherein the position information of the plurality of places determines the regional range of the digital fence, and the time information associated with the plurality of places determines the time range of the digital fence;
and activating the digital fence under the condition that the identity information of the risky user is detected to be calibrated.
4. The method of claim 3, wherein the plurality of time points comprises a first time point, and wherein determining the geographic location associated with the first time point is within the digital fence comprises:
acquiring a plane map from a geographic information system, and establishing a plane coordinate system on the plane map, wherein in the plane coordinate system, the transverse direction of the plane map is the X-axis direction of the plane coordinate system, and the longitudinal direction of the plane map is the Y-axis direction of the plane coordinate system;
carrying out gridding processing on the plane coordinate system according to a preset strategy to generate a plurality of grids of the plane map, wherein each grid is associated with an actual geographic position;
and determining whether the geographic position associated with the first time point belongs to the digital fence or not according to a first abscissa and a first ordinate of the geographic position associated with the first time point in the plane coordinate system, the number of grids in each row in a plurality of grids of the plane map and the side length of each grid.
5. The method of claim 4, further comprising: numbering the grids according to a preset sequence; respectively determining the number of each digital fence covering a grid in a plurality of digital fences based on the geographical range of the digital fence, wherein whether the geographical position associated with the first time point belongs to the digital fence or not is determined according to a first abscissa and a first ordinate of the geographical position associated with the first time point in the plane coordinate system, the number of grids in each row of a plurality of grids of the plane map, and the side length of each grid, and the method comprises the following steps:
obtaining the grid number of the geographic position associated with the first time point in the plane coordinate system by the following calculation formula:
Ax=int(Xa/d);
Ay=int(Ya/d);
GridNumerA=(Ay*rowLen)+Ax+1;
xa is the first horizontal coordinate, ya is the first vertical coordinate, gridNumeriA is the grid number of the geographic position associated with the first time point in the plane coordinate system, and rowLen is the grid number of each row in the multiple grids of the plane map; d is the side length of each grid;
determining whether the geographic position associated with the first time point belongs to the digital fence according to the grid number of the geographic position associated with the first time point in the plane coordinate system and the number of each digital fence in the plurality of digital fences covering the grid.
6. The method of claim 5, further comprising:
counting the number of the geographic positions associated with the multiple time points belonging to the digital fence;
generating the risk level of the target user according to the number;
and adjusting the display strategy in the health code program of the target user according to the risk level of the user.
7. A risk determination device for a target user, comprising:
the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining an action track of a target user based on a health code program of the target user, and the action track comprises a plurality of time points and geographic positions related to each time point;
a second obtaining unit, configured to obtain the digital fence in the activated state based on the multiple time points;
and the judging unit is used for judging whether the target user is in a risk state or not based on the action track of the target user and the digital fence.
8. The apparatus according to claim 7, wherein the determination unit includes:
a determination module for determining that the target user is at risk if the geographic location associated with any of the plurality of time points is within the digital fence.
9. An electronic device, comprising: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, implements the steps in the method of any of claims 1-6.
10. A computer-readable storage medium, storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of the method of any one of claims 1-6.
CN202211249211.XA 2022-10-12 2022-10-12 Target user risk judgment method and device, electronic device and storage medium Pending CN115330270A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109800281A (en) * 2019-01-22 2019-05-24 苏州寻息电子科技有限公司 The method of the positional relationship of Query Location point and fence in positioning system
CN111368221A (en) * 2020-03-13 2020-07-03 腾讯科技(深圳)有限公司 Information providing method, information acquiring method, device, server and storage medium
CN111464951A (en) * 2020-03-31 2020-07-28 深圳前海微众银行股份有限公司 Epidemic situation prevention and control method, device, equipment and computer readable storage medium
CN111652446A (en) * 2020-06-15 2020-09-11 深圳前海微众银行股份有限公司 Method, apparatus and storage medium for predicting risk of infection of infectious disease
US20210258722A1 (en) * 2020-02-14 2021-08-19 Omnitracs, Llc Automated and dynamic location identification and geofencing based on gps data
CN114611860A (en) * 2020-12-09 2022-06-10 华为技术有限公司 Epidemic situation prevention and control method, electronic equipment, application server and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109800281A (en) * 2019-01-22 2019-05-24 苏州寻息电子科技有限公司 The method of the positional relationship of Query Location point and fence in positioning system
US20210258722A1 (en) * 2020-02-14 2021-08-19 Omnitracs, Llc Automated and dynamic location identification and geofencing based on gps data
CN111368221A (en) * 2020-03-13 2020-07-03 腾讯科技(深圳)有限公司 Information providing method, information acquiring method, device, server and storage medium
CN111464951A (en) * 2020-03-31 2020-07-28 深圳前海微众银行股份有限公司 Epidemic situation prevention and control method, device, equipment and computer readable storage medium
CN111652446A (en) * 2020-06-15 2020-09-11 深圳前海微众银行股份有限公司 Method, apparatus and storage medium for predicting risk of infection of infectious disease
CN114611860A (en) * 2020-12-09 2022-06-10 华为技术有限公司 Epidemic situation prevention and control method, electronic equipment, application server and system

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