CN113241191A - Population mobility monitoring method - Google Patents
Population mobility monitoring method Download PDFInfo
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- CN113241191A CN113241191A CN202110630246.7A CN202110630246A CN113241191A CN 113241191 A CN113241191 A CN 113241191A CN 202110630246 A CN202110630246 A CN 202110630246A CN 113241191 A CN113241191 A CN 113241191A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 title claims abstract description 14
- 238000003745 diagnosis Methods 0.000 claims description 15
- 208000015181 infectious disease Diseases 0.000 claims description 14
- 201000010099 disease Diseases 0.000 claims description 7
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 7
- 208000035473 Communicable disease Diseases 0.000 claims description 4
- 230000004044 response Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a population mobility monitoring method, which comprises the following steps: receiving a binding request; generating a user mark according to the binding request, wherein the user mark comprises an eID, a type label and a state label; establishing and updating a network-related pool according to the user mark; receiving an association request, inquiring two user marks in an association network pool according to the association request, and establishing an association chain between the two user marks; and acquiring updating data and updating the state label of the user mark in the associated network pool according to the updating data. The invention converts the contact between people into point-to-point data network link through code scanning, card swiping or face recognition, and the like, wherein one point is tracked through the network link, so that the monitoring response speed is improved, and the second point does not contain identity information and place records, so that the data security is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a population mobility monitoring method.
Background
At present, the population flow is quite frequent, so that the contact and the connection between investigators are difficult, particularly, in the process of controlling the spreading of especially large infectious diseases, the infection is further spread and is difficult to be effectively controlled due to the fact that related populations of patients with confirmed diagnosis, close contacts and indirect contacts cannot be screened in time. In addition, the current circulation tone basically adopts confirmation of the activity place of a diagnosed patient and confirms the contact person by confirming the crowd passing the place, so that the identity information of related personnel and the activity place are exposed in the public sight range, the privacy exposure is caused, and the data security problem is generated. Therefore, it is necessary to provide a further solution to the above problems.
Disclosure of Invention
The invention aims to provide a population mobility monitoring method to overcome the defects in the prior art.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a method of population flow monitoring, comprising:
receiving a binding request, the binding request comprising at least a name and an eID;
generating a user mark according to the binding request, wherein the user mark comprises an eID, a type label and a state label;
establishing and updating a network-related pool according to the user mark;
receiving an association request, inquiring two user marks in the Internet of things pool according to the association request, and establishing an association chain between the two user marks, wherein the association request comprises eIDs of the two user marks and a request sending time point;
acquiring updating data and updating the state label marked by the user in the associated network pool according to the updating data, wherein the updating data comprises eID and corresponding state information, and the state information corresponds to the state label one by one.
In a preferred embodiment of the present invention, the binding request further includes a type request and a corresponding valid time period, the type request includes at least one type and two types, and the type request corresponds to the type tag one to one.
In a preferred embodiment of the present invention, the method further comprises:
receiving a type label switching request, and switching a type label corresponding to the user mark according to the request, wherein the type label switching request comprises the user mark, the type label requesting switching and a switching effective time period.
In a preferred embodiment of the present invention, the method further comprises:
and initializing the state label of the user mark when the state label of the user mark in the associated chain pool is not updated within a preset time range.
In a preferred embodiment of the present invention, the method further comprises:
and checking the eID authenticity, generating a user mark if the eID authenticity passes the checking, and rejecting the binding request if the eID does not pass the checking.
In a preferred embodiment of the invention, the update data is collected from a database of a disease control center, the update data further comprises an update time point and an infection time range of a particular infectious disease, and the status information comprises one of a confirmed diagnosis, close contact, and indirect contact of the disease.
In a preferred embodiment of the present invention, the updating the status label of the user identifier in the associated network pool according to the update data includes:
updating the state label of the user mark corresponding to the updating data in the gateway network pool according to the state information;
and acquiring an updating time range according to the updating time point and the infection time range, and updating the state label of the user mark of which the request sending time point of the associated chain falls into the updating time range according to the state label of the user mark associated with the user mark and a preset rule.
In a preferred embodiment of the present invention, the preset rule includes:
when the status label marked by the user corresponds to a confirmed diagnosis, the status label marked by the user directly related to the status label marked by the user is updated to correspond to close contact;
when the status label of the user mark corresponds to a confirmed diagnosis and the type label of the user mark directly related to the status label is a type, the status labels of other user marks directly related to the user mark with the type label as a type are updated to correspond to close contact;
when the state label of the user mark corresponds to close contact, the state label of the user mark directly related to the state label is updated to correspond to indirect contact;
and the updating level of the state label marked by the user is sequentially increased by corresponding to indirect contact, close contact and confirmed diagnosis.
Compared with the prior art, the invention has the beneficial effects that:
the invention converts the contact between people into point-to-point data network link through code scanning, card swiping or face recognition, and the like, wherein one point is tracked through the network link, so that the monitoring response speed is improved, and the second point does not contain identity information and place records, so that the data security is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic view of a partially associated chain of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
A method of population flow monitoring, comprising:
s100 receives a binding request, the binding request including at least a name and an eID.
Preferably, the method further comprises the step of S101, checking the eID authenticity, generating a user mark if the checking is passed, and rejecting the binding request if the checking is not passed.
The eID is the electronic identity of the citizen network, and the identity can be remotely identified on line on the premise of not revealing identity information.
It can be understood that whether the eID has bound the user identifier may also be queried, and if so, the binding request may be rejected.
S200, generating a user mark according to the binding request, wherein the user mark comprises an eID, a type label and a state label.
Preferably, the binding request further includes a type request and a corresponding valid time period, the type request includes at least one type and two types, and the type request corresponds to the type tag one to one.
For example, one is a designated worker in a place and the other is a common worker, and the common worker establishes association with the designated worker in a working time period (effective time period) of the worker, so that the exposure of the place privacy is avoided, and the data security is improved.
In this embodiment, it is preferable that the identities of the designated staff and the ordinary staff are switched, and specifically,
s201 receives the type label switching request, and switches the type label corresponding to the user mark according to the request. The type label switching request comprises a user mark, a type label requesting switching and a switching effective time period.
S300, establishing and updating the gateway network pool according to the user identification.
S400, receiving an association request, inquiring two user marks in an association network pool according to the association request, and establishing an association chain between the two user marks, wherein the association request comprises eIDs of the two user marks and a request sending time point.
And recording the sending time point of the request to avoid errors in subsequent screening caused by delay of establishing the contact.
The user can perform code scanning association or card swiping association through the mobile communication device, or perform face recognition, and the face information is identified and returned to the corresponding eID through the citizen network identity recognition system for association.
S500, collecting the updating data and updating the state label marked by the user in the associated network pool according to the updating data. The updating data comprises eID and corresponding state information, and the state information corresponds to the state labels one to one.
Specifically, when the method is applied to epidemic situation control, the update data is collected from a disease control center database, the update data further comprises an update time point and an infection time range of a specific infectious disease, and the state information comprises one of diagnosis, close contact and indirect contact of the disease.
The status label may be a color indicated by the user, but is not limited thereto. The user mark color in the initial state is green, namely, no infection risk exists, the user mark color is set to be black correspondingly in the confirmed diagnosis, the user mark color is set to be red correspondingly in the close contact, and the user mark color is set to be yellow correspondingly in the indirect contact.
Updating the state label of the user mark in the associated network pool according to the update data specifically comprises:
and updating the state label of the user mark corresponding to the updating data in the gateway network pool according to the state information.
And acquiring an updating time range according to the updating time point and the infection time range, and updating the state label of the user mark of which the request sending time point of the associated chain falls into the updating time range according to the state label of the user mark associated with the user mark and a preset rule.
Wherein, the preset rule comprises:
when the user-designated status label corresponds to a confirmed diagnosis, the user-designated status label directly associated therewith is updated to correspond to close contact.
When the status label of the user mark corresponds to a confirmed diagnosis and the type label of the user mark directly related to the status label is a type, the status labels of other user marks directly related to the user mark with the type label as the type are updated to correspond to close contact.
When the user-designated status label corresponds to a close contact, the user-designated status label update directly associated therewith corresponds to an indirect contact.
And the updating level of the state label of the user mark is sequentially increased by corresponding indirect contact, close contact and confirmed diagnosis, so that the risk judgment error caused by the mistaken degradation processing of the same user mark is avoided.
As shown in FIG. 2, for example, the diagnosis is shown in the disease control center data B, and an update time range, i.e., a dotted range in the figure, is obtained based on the update time point and the infection time range, wherein A, C represents an intimate contact person and D represents an indirect contact person. When type tag of a is not a class, E, F is an indirect contacter; when the type label of A is a class, then E, F is also the close contact and G is the indirect contact.
This embodiment still includes: s501, when the state label of the user mark in the associated chain pool is not updated within a preset time range, initializing the state label of the user mark.
For example, when the close contact person is not diagnosed within a predetermined time range, indicating that there is no infection risk, it is changed from red to green. When the indirect contact person is not diagnosed within the preset time range, which indicates that the indirect contact person has no infection risk, the indirect contact person is changed from yellow to green. It is understood that the preset time range can be set to different time ranges according to different status tags.
In summary, the invention converts the contact between people through code scanning, card swiping or face recognition into data point-to-point network link, wherein one point is tracked through the network link, so that the monitoring response speed is improved, and the other point does not contain identity information and location records, so that the data security is improved.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (8)
1. A method of monitoring population movement, comprising:
receiving a binding request, the binding request comprising at least a name and an eID;
generating a user mark according to the binding request, wherein the user mark comprises an eID, a type label and a state label;
establishing and updating a network-related pool according to the user mark;
receiving an association request, inquiring two user marks in the Internet of things pool according to the association request, and establishing an association chain between the two user marks, wherein the association request comprises eIDs of the two user marks and a request sending time point;
acquiring updating data and updating the state label marked by the user in the associated network pool according to the updating data, wherein the updating data comprises eID and corresponding state information, and the state information corresponds to the state label one by one.
2. The method of claim 1, wherein the binding request further comprises a type request and a corresponding validity period, wherein the type request comprises at least one type and two types, and wherein the type request corresponds to the type tag in a one-to-one correspondence.
3. The method of monitoring population movement of claim 1, further comprising:
receiving a type label switching request, and switching a type label corresponding to the user mark according to the request, wherein the type label switching request comprises the user mark, the type label requesting switching and a switching effective time period.
4. The method of monitoring population movement of claim 1, further comprising:
and initializing the state label of the user mark when the state label of the user mark in the associated chain pool is not updated within a preset time range.
5. The method of monitoring population movement of claim 1, further comprising:
and checking the eID authenticity, generating a user mark if the eID authenticity passes the checking, and rejecting the binding request if the eID does not pass the checking.
6. The method of claim 1, wherein the updated data is collected from a database of a disease control center, the updated data further comprising an updated time point and an infection time range for a particular infectious disease, and the status information comprises one of a confirmed diagnosis, close contact, and indirect contact of the disease.
7. The method of claim 6, wherein the updating the user-indicated status label in the associated web pool according to the update data comprises:
updating the state label of the user mark corresponding to the updating data in the gateway network pool according to the state information;
and acquiring an updating time range according to the updating time point and the infection time range, and updating the state label of the user mark of which the request sending time point of the associated chain falls into the updating time range according to the state label of the user mark associated with the user mark and a preset rule.
8. The method of claim 7, wherein the predetermined rules include:
when the status label marked by the user corresponds to a confirmed diagnosis, the status label marked by the user directly related to the status label marked by the user is updated to correspond to close contact;
when the status label of the user mark corresponds to a confirmed diagnosis and the type label of the user mark directly related to the status label is a type, the status labels of other user marks directly related to the user mark with the type label as a type are updated to correspond to close contact;
when the state label of the user mark corresponds to close contact, the state label of the user mark directly related to the state label is updated to correspond to indirect contact;
and the updating level of the state label marked by the user is sequentially increased by corresponding to indirect contact, close contact and confirmed diagnosis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110630246.7A CN113241191B (en) | 2021-06-07 | 2021-06-07 | Population mobility monitoring method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110630246.7A CN113241191B (en) | 2021-06-07 | 2021-06-07 | Population mobility monitoring method |
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| CN113241191A true CN113241191A (en) | 2021-08-10 |
| CN113241191B CN113241191B (en) | 2023-01-24 |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140131434A1 (en) * | 2012-11-15 | 2014-05-15 | At&T Intellectual Property I, L.P. | Asset Management Service for Distributed Computing Environments |
| CN111312406A (en) * | 2020-03-15 | 2020-06-19 | 智博云信息科技(广州)有限公司 | Epidemic situation label data processing method and system |
| CN111710422A (en) * | 2020-06-04 | 2020-09-25 | 四川虹微技术有限公司 | Identification code determination method and device, electronic equipment and readable storage medium |
| CN111918215A (en) * | 2020-06-30 | 2020-11-10 | 王云峰 | Method and system for tracking closely infected persons through Bluetooth |
| CN112685628A (en) * | 2019-10-17 | 2021-04-20 | 中国移动通信集团浙江有限公司 | Health information pushing method, system and server |
-
2021
- 2021-06-07 CN CN202110630246.7A patent/CN113241191B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140131434A1 (en) * | 2012-11-15 | 2014-05-15 | At&T Intellectual Property I, L.P. | Asset Management Service for Distributed Computing Environments |
| CN112685628A (en) * | 2019-10-17 | 2021-04-20 | 中国移动通信集团浙江有限公司 | Health information pushing method, system and server |
| CN111312406A (en) * | 2020-03-15 | 2020-06-19 | 智博云信息科技(广州)有限公司 | Epidemic situation label data processing method and system |
| CN111710422A (en) * | 2020-06-04 | 2020-09-25 | 四川虹微技术有限公司 | Identification code determination method and device, electronic equipment and readable storage medium |
| CN111918215A (en) * | 2020-06-30 | 2020-11-10 | 王云峰 | Method and system for tracking closely infected persons through Bluetooth |
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