CN115841879A - Accurate monitoring method for group book implementing personnel based on city codes - Google Patents

Accurate monitoring method for group book implementing personnel based on city codes Download PDF

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Publication number
CN115841879A
CN115841879A CN202310101093.6A CN202310101093A CN115841879A CN 115841879 A CN115841879 A CN 115841879A CN 202310101093 A CN202310101093 A CN 202310101093A CN 115841879 A CN115841879 A CN 115841879A
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China
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group
code
city
group member
information
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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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Taiji Computer Corp Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The application relates to a group book implementation personnel accurate monitoring method based on city codes, and relates to the field of health monitoring. The accurate monitoring method for the group book realization personnel based on the city code comprises the following steps: acquiring basic information of each group member governed by a social institution; generating city codes of all group members according to the basic information; acquiring health query information of each group member according to the city code of each group member; generating a group book of the social institution according to the city code and the health query information of each group member; triggering alarm reminding of abnormal personnel according to the group book; and performing spatio-temporal data display on the health query information of each group member in the social institution according to the group book. The method and the device are used for solving the problem that social institutions cannot timely master the health state of each group member under jurisdiction.

Description

Accurate monitoring method for group book implementing personnel based on city codes
Technical Field
The application relates to the field of health monitoring, in particular to a group book personnel accurate monitoring method based on city codes.
Background
Social institutions such as fixed buildings and communities are the main places where infectious diseases are gathered, and at present, the social institutions are still scattered personnel management, which is very difficult for building management and community personnel management, and the health status of personnel carrying out the outbreak transmission of the infectious diseases is hidden.
The system is lack of a sound multi-channel monitoring and early warning and multi-point triggering mechanism, and a unified management platform is lack of social mechanisms such as community level, building level and intensive personnel places for real-time personnel monitoring and early warning management, and accurate point-to-point monitoring is carried out at the first time.
At present, social institutions cannot timely master the health state of each group member in jurisdiction, daily health monitoring of each group member in jurisdiction is achieved, and prevention and control work is scientifically and accurately made.
Disclosure of Invention
The application provides a group book personnel accurate monitoring method based on city codes, which is used for solving the problem that social institutions cannot timely master the health state of each group member in jurisdiction.
The embodiment of the application provides a group book realization personnel accurate monitoring method based on city codes, which comprises the following steps:
acquiring basic information of each group member governed by a social institution;
generating city codes of all the group members according to the basic information;
acquiring health query information of each group member according to the city code of each group member;
generating a group book of the social institution according to the city code and the health query information of each group member;
triggering alarm reminding of abnormal personnel according to the group book;
and performing space-time data display on the health query information of each group member in the social institution according to the group book.
Optionally, the basic information includes a name and a certificate number;
generating the city code of each group member according to the basic information, wherein the city code comprises:
encrypting the name and the certificate number to generate a user identity of the group member, and taking the user identity as the content of a first field of the city code;
acquiring the contents of the length, version, code type, platform identification, ending time and personal information subject authorization record abstract, and taking the contents of the length, version, code type, platform identification, ending time and personal information subject authorization record abstract as the contents of a second field of the city code;
splicing the content of the first field and the content of the second field to generate spliced content, generating a digital signature value of the spliced content, and taking the digital signature value as the content of a third field of the city code;
and splicing the content of the first field, the content of the second field and the content of the third field to generate the city code of the community members.
Optionally, the length and version refer to the length and version of the city code; the code type refers to the type of the city code; the platform identification refers to the identification of the platform where the city code is located; the ending time refers to the ending time of the city code; the personal information subject authorization record abstract comprises the health status and track data of the group members holding the city code.
Optionally, the obtaining the health query information of each group member according to the city code of each group member includes:
and acquiring health query information of each group member from a health query platform in real time through a big data support platform according to the city code of each group member, wherein the health query information comprises monitoring time, health state, nucleic acid days, nucleic acid historical data, vaccination information and a state of entering Beijing.
Optionally, the encrypting the name and the certificate number to generate the user identity of the group member includes:
generating a key pair by selecting a base point on an elliptic curve using an SM2 algorithm, wherein the key pair comprises a public key and a private key;
storing the key pair in a non-project directory of a server;
and reading a public key in the key pair, and coding the name and the certificate number on the elliptic curve according to the public key to generate the user identity of the group member.
Optionally, the obtaining, by the big data support platform, health query information of each group member from a health query platform in real time according to the city code of each group member includes:
reading a private key in the key pair through a big data support platform, and decrypting a user identity in a city code of the group member according to the private key to obtain the name and the certificate number of the group member;
and acquiring the health query information of each group member from a health query platform in real time according to the name and the certificate number of the group member.
Optionally, the triggering an alarm prompt of an abnormal person according to the group book includes:
generating a nucleic acid detection data set of the group members according to the group book, wherein the nucleic acid detection data set comprises a first record identifier, a user identity identifier of the group members, a latest nucleic acid detection time and a latest nucleic acid detection result;
traversing the latest nucleic acid detection time in the nucleic acid detection data set, calculating a first difference obtained by subtracting the latest nucleic acid detection time from the current time, and generating a first key value pair with the first record identifier as a key word and the first difference as a value;
reading the first difference value from the first key value pair, and if the first difference value is greater than a nucleic acid day threshold value, taking the first record identifier corresponding to the first difference value in the first key value pair as a target first record identifier;
taking the user identity corresponding to the target first record identity in the nucleic acid detection data set as a first target user identity;
and taking the group member corresponding to the first target user identity as an abnormal person, and triggering an alarm prompt of the abnormal person.
Optionally, the triggering an alarm prompt of an abnormal person according to the group book includes:
acquiring regional data, and generating a sensitive regional data set according to the regional data, wherein the sensitive regional data set comprises a second record identifier, a regional name, a regional location code identifier set, a risk level, a risk determination time and a risk relief time;
acquiring track data of the group members according to the group book, and generating a member track data set according to the track data, wherein the member track data set comprises a third record identifier, user identity identifiers of the group members, place code identifiers of the group members entering places and the time of scanning the place code identifiers of the group members;
traversing the place code identifiers in the member track data set according to the area place code identifier set in the sensitive area data set, and taking the place code identifiers included in the area place code identifier set as target place code identifiers to generate a target member track data set, wherein the target member track data set comprises the third record identifiers, the user identity identifiers of the group members, the target place code identifiers and the time when the group members scan the target place code identifiers;
when the time when the group member scans the target place code identifier is later than the risk determination time, calculating a second difference obtained by subtracting the time when the group member scans the target place code identifier from the current time, and generating a second key value pair with the third record identifier as a key word and the second difference as a value;
reading the second difference value from the second key value pair, and if the second difference value is smaller than or equal to an abnormal removal duration threshold after leaving a risk area, taking the third record identifier corresponding to the second difference value in the second key value pair as a target third record identifier;
taking the user identity corresponding to the target third record identifier in the target member track data set as a second target user identity;
and taking the group member corresponding to the second target user identity as an abnormal person, and triggering an alarm prompt of the abnormal person.
Optionally, the performing, according to the community book, spatiotemporal data display on the health query information of each community member in the social institution includes:
establishing a map visual model of a social institution, a building and a house, wherein the map visual model comprises house codes;
collecting house personnel data, and generating a personnel information table according to the house personnel data, wherein the personnel information table comprises names, certificate numbers and house codes;
associating the personnel information table to the map visual model through the house code;
generating a member health monitoring table according to the health query information of each group member in the group book, wherein the member health monitoring table comprises a serial number, user identification of the group member, monitoring time, health state, nucleic acid days and vaccination information;
and associating one piece of personnel information in the personnel information table with a plurality of pieces of monitoring information in the member health monitoring table according to the user identity, the name and the certificate number so as to realize the space-time data display of the health query information of each group member in the social institution.
Optionally, the establishing a map visual model of a social institution-building-house includes:
acquiring basic map data, and establishing an administrative division map layer, a social mechanism map layer, a building map layer and an interest point map layer according to the basic map data;
collecting house data, wherein the house data comprises house codes, social institution names, building names and house names;
and loading the house data by using a geographic information system platform, and associating the house data to the building map layer according to the corresponding relation between the building name in the house data and the building name in the building map layer to form a map intuitive model of social institution-building-house.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: in the embodiment of the application, the basic information of each group member administered by the social institution is obtained, the city code of each group member is generated according to the basic information, the health query information of each group member is obtained according to the city code of each group member, the group book of the social institution is generated according to the city code and the health query information of each group member, the alarm prompt of abnormal personnel is triggered according to the group book, and the space-time data display is carried out on the health query information of each group member in the social institution according to the group book. According to the method and the system, the group book of the social organization is generated according to the city code and the health query information of each group member, the flexible and efficient dynamic micro-ledger for monitoring the health of the social organization is constructed, the social organization can conveniently and timely master the health state of each administered group member, the daily health monitoring of each administered group member is realized, and the prevention and control work is scientifically and accurately made. And according to the group book, the alarm reminding of abnormal personnel is triggered, active early warning reminding can be achieved, active management capacity is improved, early detection, early prevention and treatment are carried out, and prevention and control accuracy and efficiency are improved. According to the group book, the health query information of each group member in the social organization is subjected to space-time data display, so that the social organization can conveniently and visually master the health state of each group member in jurisdiction. The problem that the social institution cannot timely master the health state of each group member under jurisdiction is solved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
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, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a method for realizing accurate monitoring of a person by a corporate directory based on a city code in the embodiment of the present application;
FIG. 2 is a flow chart illustrating a method for generating a city code for each group member according to an embodiment of the present application;
FIG. 3 is a diagram illustrating a data structure of a city code according to an embodiment of the present application;
FIG. 4 is a diagram of a threshold alarm model in an embodiment of the present application;
FIG. 5 is a flowchart illustrating a method for triggering an alarm prompt for an abnormal person according to a community book in an embodiment of the present application;
FIG. 6 is a flowchart illustrating a method for triggering an alarm prompt for an abnormal person according to a community book in an embodiment of the present application;
FIG. 7 is a flowchart illustrating a method for spatiotemporal data presentation of health query information for each group member of a social institution based on a group book in an exemplary embodiment of the present application;
fig. 8 is a schematic structural diagram of a system for accurately monitoring corporate directory implementation personnel based on city codes in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the embodiment of the application, a method for accurately monitoring group book realization personnel based on city codes is provided. As shown in fig. 1, the method flow for realizing accurate monitoring of people by a community book based on city codes mainly includes:
step 101, acquiring basic information of each group member governed by the social institution.
The social institution can be a community, a building or other places with dense people.
And 102, generating the city code of each group member according to the basic information.
In one embodiment, the base information includes a name and a certificate number.
Wherein the identification number includes at least one of an identification number, a passport number and a mobile phone number.
According to the city code platform coding rule, the source code is formed by the basic information such as the name and the certificate number, the two-dimensional code assembly, the signature service and the encryption mode are carried out through the city code platform, the encrypted two-dimensional code string is output to the two-dimensional code cache middle stage, and the encrypted two-dimensional code string based on the name and the certificate number is formed.
The city code is displayed to a general user as a two-dimensional code, and the data information of a main body corresponding to the two-dimensional code can be displayed by scanning the city code through WeChat or Paibao, wherein the data information comprises basic information and service data, such as two-dimensional codes on public facilities such as telegraph poles and the like, and all attribute information and management information of each public facility, and information of management personnel and authorities are recorded in the two-dimensional code; for example, the two-dimensional code of a business such as a merchant records the name, the industry, a contact phone, the location, and the like of each merchant.
In one embodiment, as shown in fig. 2, generating the city code of each community member according to the basic information includes:
step 201, the name and the certificate number are encrypted to generate the user identification of the group member, and the user identification is used as the content of the first field of the city code.
In a specific embodiment, encrypting the name and the certificate number to generate the user identification of the group member includes: generating a key pair by selecting a base point on an elliptic curve by using an SM2 algorithm, wherein the key pair comprises a public key and a private key; storing the key pair in a non-project directory of the server; and reading a public key in the key pair, and coding the name and the certificate number on the elliptic curve according to the public key to generate the user identity of the group member.
Only the names of the members and the corresponding health query information can be seen on the group book, wherein the identity card numbers and the mobile phone numbers of the members belong to personal sensitive information and are processed in an SM2 encryption mode. A professional information security administrator generates a 256-bit SM2 key pair through an encryption system, stores the key pair in a server non-project directory, wherein the server non-project directory can be a special directory of a system partition, and then only informs a software development engineer of an absolute address of the key pair, and the software development engineer sets a reading path in a project code configuration file. When a program receives a personal information related field submitted by a user, directly calling a public key through a path to encrypt the personal information, and then writing the encrypted personal information into a database; and when the relevant personal information needs to be displayed, the program reads the encrypted data from the database, and then calls the private key to decrypt and display the data.
Encryption measures are adopted in the processes of SSL (Secure Socket Layer) transmission and storage of personal information, keys are not placed in project codes, information security managers and software development engineers respectively master a part of encryption elements, and the risk of secret leakage caused by code leakage or human errors can be greatly reduced.
An SM2 (Elliptic Curve public key Cryptography) in the SM series cryptographic algorithm is developed based on an ECC (Elliptic Curve Cryptography) system in foreign countries, but the SM2 cryptographic algorithm is superior to the ECC algorithm in performance in all aspects, and the encryption and decryption steps are as follows: the receiver selects an elliptic curve Ep (a, b) and selects a base point G on the curve to generate a key pair (d) B ,P B ) Sending the public key to a message sender; the sender is based on the received public key P B Encoding a plaintext M onto Ep (a, b), and transmitting a ciphertext to a receiving party; the receiving party uses the private key d after receiving the ciphertext data packet B And decrypting to obtain a plaintext M'.
Step 202, obtaining the length, version, code type, platform identifier, deadline and content of the personal information subject authorization record abstract, and using the length, version, code type, platform identifier, deadline and content of the personal information subject authorization record abstract as the content of the second field of the city code.
In one embodiment, the length and version refer to the length and version of the city code; the code type refers to the type of a city code; the platform identification refers to the identification of the platform where the city code is located; the cut-off time refers to the cut-off time of the city code; the personal information subject authorization record abstract comprises the health status of the group members holding the city code and the track data.
And 203, splicing the content of the first field and the content of the second field to generate spliced content, generating a digital signature value of the spliced content, and taking the digital signature value as the content of the third field of the city code.
And step 204, splicing the content of the first field, the content of the second field and the content of the third field to generate the city code of the group member.
In a specific embodiment, in order to meet the requirements that the city code needs to integrate a large number of department service applications, provide multi-scenario service and cross-domain smooth service, a universal unified two-dimensional code standard model is built. Fig. 3 is a schematic diagram of a data structure of a city code. The city code is composed of a first field (A section), a second field (B section) and a third field (S section), and the content of the A section, the content of the B section and the content of the S section are spliced to generate the city code.
The segment A represents the identity of the information subject and is a user identity label, and a 'network card' which is processed safely is used, namely, the segment A code is the 'identity' of each information subject on the Internet, and the real identity of the user can be positioned through the code. The main body information is stored in a digital coding form, so that the interconnection and intercommunication of the internet information are facilitated.
The section B represents specific service data of the information main body, and comprises a length, a version, a code type, a platform identifier, a deadline and a personal information subject authorization record abstract. For example, "expiration time" refers to the expiration date of the code, and refers to the expiration time of the code, rather than the expiration time of the code corresponding to, for example, "identification card", "passport", etc. The last segment of 'personal information subject authorization record abstract' content in the segment B code is the most important part in the whole code, whether the person is healthy or not is judged through the part at ordinary times, but the code has partial health judgment function, and the main function is also used for tracking the track of the person holding the code, so that the 'contacter' is judged conveniently. The code type and platform identification are more important for a code reader, and are the basis for establishing code interconnection and intercommunication.
The S segment is a digital signature value for the a + B segment content.
Aiming at different main bodies in the city, the city code is collected and generated in different modes, such as individuals and enterprises, and the person in charge is used for declaring and obtaining; the public facilities in the city can be quickly scanned in the driving process through a vehicle-mounted three-dimensional laser live-action technology, facility coordinates are obtained, and a camera is used for registration.
The urban code base is built for the purpose of providing highly available service guarantee and basic capability for all global scene applications of the urban code and supporting super-large concurrency. Based on containerization, micro-service and message queue, distributed database, cache database and the like, the method supports high-capacity and high-concurrency real-time data transmission.
And 103, acquiring the health query information of each group member according to the city code of each group member.
In a specific embodiment, the acquiring health query information of each group member according to the city code of each group member includes: and acquiring health query information of each group member from the health query platform in real time through a big data support platform according to the city code of each group member, wherein the health query information comprises monitoring time, health state, nucleic acid days, nucleic acid historical data, vaccination information and Beijing entrance state.
The big data support platform is used for meeting the real-time interaction between the health state, nucleic acid days, nucleic acid historical data, vaccination information, beijing entrance state and other information related to the group thin epidemic prevention information and the health query platform, the interface capacity can reach the index requirement of 3 ten thousand TPS (Transactions Per Second, number of transaction processing transmitted Per Second) capacity reserve, and the requirement of the group thin mass real-time data is completely met.
The big data support platform is a platform integrating data access, data processing, data storage, application interfaces and the like. Data access: the method mainly comprises the steps of collecting real-time state data, supporting the data capture from HTTP (Hyper Text Transfer Protocol), web Service (Web application program), socket (Socket), main stream RDB (Relational Database) to a distributed message queue, and supporting the data consumption from the distributed message queue to HBase (distributed storage system), remote Dictionary Server (Remote Dictionary Server) and main stream RDB; and visual real-time data access and data consumption configuration are supported. Data processing: the method comprises the following steps of carrying out control on data standards and data quality, carrying out task configuration, quality inspection, quality report output and evaluation on data quality support rules for data standard support standard detection, dictionary maintenance, retrieval and the like. Data storage: and forming different subject libraries according to different data dimensions for the analysis platform to directly call. An application interface: the interface meets the requirement that data are shunted into an early warning analysis platform and a GIS (Geographic Information System) three-dimensional analysis platform in real time, and better service capability is provided for decision making.
In a specific embodiment, the acquiring health query information of each group member from the health query platform in real time through the big data support platform according to the city code of each group member includes: reading a private key in a key pair through a big data support platform, and decrypting a user identity in a city code of a group member according to the private key to obtain the name and the certificate number of the group member; and acquiring the health query information of each group member from the health query platform in real time according to the name and the certificate number of the group member.
The encryption and decryption steps of the SM2 algorithm are as follows: the receiver selects an elliptic curve Ep (a, b) and selects a base point G on the curve to generate a key pair (d) B ,P B ) Sending the public key to a message sender; the sender is based on the received public key P B Encoding a plaintext M onto Ep (a, b), and transmitting a ciphertext to a receiving party; the receiving party uses the private key d after receiving the ciphertext data packet B And decrypting to obtain a plaintext M'.
And step 104, generating a group book of the social organization according to the city code and the health query information of each group member.
And 105, triggering alarm reminding of abnormal personnel according to the group book.
The corporate directory compares the health query data with the health query data in batches every day at the background, and regularly refreshes the health query information of the concerned crowd provided for the social organization, wherein the health query information comprises monitoring time, health state, nucleic acid days, vaccine injection information and the like. Wherein, the abnormal health state is processed by alarming, and the related abnormal early warning technology comprises threshold value alarming and multi-factor combined alarming.
In one embodiment, as shown in FIG. 4, a diagram of a threshold alarm model is shown. In fig. 4, the abscissa represents Time (Time) and the ordinate represents an index. The health condition is monitored by monitoring the index, and an alarm prompt is generated according to the comparison of the index and a preset threshold value so as to prompt a manager about potential risks, wherein as shown in fig. 4, the threshold alarm model is Y = x, Y is a constant function, and x is a constant. When the monitoring index value is larger than the set threshold value x, the monitoring object is located in the alarm range, and alarm reminding is triggered, as shown in fig. 4E; when the monitoring index value is less than or equal to the threshold value x, the monitoring object is located in the safety range, and the alarm prompt is not triggered, such as a, B, C, D, and F in fig. 4. The method can realize alarm reminding for the monitoring object that the nucleic acid detection is not completed within the specified time and the vaccine injection is not completed beyond the specified time.
The specific implementation of the threshold alarm is shown in fig. 5. In one embodiment, as shown in fig. 5, triggering an alarm prompt for abnormal people according to the community book includes:
step 501, generating a group member nucleic acid detection data set according to the group book.
The nucleic acid detection data set comprises a first record identifier, user identity identifiers of group members, the latest nucleic acid detection time and the latest nucleic acid detection result.
And performing data extraction based on the information of the members of the community book to form a nucleic acid detection data set DatasetHAT of the members of the community, wherein the core field of the DatasetHAT is { the first record ID, the ID of the members of the community, HATTime, the nucleic acid detection result HATR }. Group member ID-the unique identity of the group member; HATTime-the time of the last nucleic acid detection (year, month, day); nucleic acid detection result HATR-the last nucleic acid detection result.
Step 502, traverse the latest nucleic acid detection time in the nucleic acid detection data set, calculate a first difference obtained by subtracting the latest nucleic acid detection time from the current time, and generate a first key-value pair with the first record identifier as a key and the first difference as a value.
Traversing the nucleic acid detection records DatasetHAT-HATTime of group members in the data set DatasetHAT, comparing the current time Currenttime (year, month and Day) with HATTime to obtain a first difference value, namely a time interval delta Day1= Currenttime-HATTime, and storing the comparison result, namely the first difference value, into MAP (container for storing KEY value pairs) taking the 'first record ID' of DatasetHAT-HATTime as KEY and the LIST set as values; after the traversal is completed, the MAP with the "first record ID" as KEY and the comparison result LIST as value can be obtained. MAP is a KEY-value pair container with a data structure of { KEY, LIST [ record ] }; KEY-KEY value; LIST — data set.
Step 503, reading a first difference value from the first key value pair, and if the first difference value is greater than the nucleic acid day threshold, taking a first record identifier corresponding to the first difference value in the first key value pair as a target first record identifier.
As shown in fig. 4, the constant x of the threshold alarm model Y = x is set to Day1, i.e. the nucleic acid Day threshold. The nucleic acid day threshold value can be set according to scene requirements or can be freely set and is measured in days.
Step 504, the user identity corresponding to the target first record identity in the nucleic acid detection data set is used as the first target user identity.
And 505, taking the group member corresponding to the first target user identity as an abnormal person, and triggering an alarm prompt of the abnormal person.
The member can be tracked according to the nucleic acid detection time, the member exceeding the given time and the exceeding result are found, the member is judged to be an abnormal person, and the alarm reminding is triggered.
The specific implementation process of the multi-factor combination alarm is shown in fig. 6. In one embodiment, as shown in fig. 6, triggering an alarm prompt for abnormal people according to the community book includes:
step 601, acquiring regional data, and generating a sensitive regional data set according to the regional data.
The sensitive area data set comprises a second record identifier, an area name, an area location code identifier set, a risk level, a risk determination time and a risk relief time.
The method comprises the steps of obtaining regional data, cleaning and integrating to form a sensitive regional data set DatasetSensitive, wherein a core field of the DatasetSensitive is { second record ID, a regional name, a list [ site code ID ], a risk level, a risk determination time and a risk relief time }, and data in the DatasetSensitive are sorted according to time ascending order. list [ location code ID ] -the health query location code ID claimed by the person responsible for the area, is a set; risk determination time-the point in time (year, month, day, hour, minute, second) when the area was last determined to be a risk area; risk release time, which is later than the time when the zone was last determined to be a risk zone (time of year, month, day, hour, minute and second), the value may be null indicating that the risk has not been released.
Step 602, obtaining the trajectory data of the group members according to the group book, and generating a member trajectory data set according to the trajectory data.
The member track data set comprises a third record identifier, a user identity identifier of the group member, a place code identifier of the group member entering the place and the time when the group member scans the place code identifier.
Acquiring member track data, and performing cleaning integration to form a member track data set DatasetP, wherein the core field of the DatasetP is { third record ID, member ID, site code ID, time }, and the data in the DatasetP are sorted according to the ascending order of time. Member ID-member unique identity; locale code ID-the locale the associated member enters; time-point of day-the time point (year, month, day, hour, minute, second) at which the member scans the location code.
Step 603, traversing the location code identifiers in the member track data set according to the regional location code identifier set in the sensitive region data set, taking the location code identifiers included in the regional location code identifier set as target location code identifiers, and generating a target member track data set.
The target member track data set comprises a third record identifier, a user identity identifier of the group member, a target place code identifier and the time when the group member scans the target place code identifier.
In the data set datasetsensing, a data record DatasetP-locale code ID of the DatasetP is searched in a traversal manner through a field "list [ locale code ID ]" and a packet DatasetP1 contained in the list [ locale code ID ], namely a target member track data set DatasetP1, is obtained from the data set DatasetP.
And step 604, when the moment of scanning the target place code identifier by the group member is later than the risk determination moment, calculating a second difference obtained by subtracting the moment of scanning the target place code identifier by the group member from the current moment, and generating a second key value pair with the third record identifier as a key word and the second difference as a value.
Comparing records in DatasetP1 and DatasetSesitive by a field value of 'time', judging whether 'DatasetP 1-time' is later than or equal to 'DatasetSesitive-risk determination time', if so, comparing the current time 'Current data' with the record 'DatasetP 1-time' of the DatasetP1 to obtain an interval between two time points, namely a second difference value delta Daty 2= Current data- (DatasetP 1-time), storing a comparison result, namely the second difference value, into MAP taking 'third record ID' of 'DatasetP 1-time' as KEY and integrating the comparison result LIST as a value; after the traversal is completed, the MAP with the "third record ID" as KEY and the comparison result LIST as value can be obtained.
Step 605, reading a second difference value from the second key value pair, and if the second difference value is less than or equal to the abnormal removal duration threshold after leaving the risk area, taking a third record identifier corresponding to the second difference value in the second key value pair as a target third record identifier.
The abnormal removing time length threshold value after leaving the risk area can be set or freely set according to the scene requirements, and the unit is day.
Step 606, taking the user identity corresponding to the target third record identifier in the target member trajectory data set as a second target user identity.
And step 607, taking the group member corresponding to the second target user identity as an abnormal person, and triggering an alarm prompt of the abnormal person.
Whether the member visits the sensitive area or not can be tracked, the member in a given time range is found, the member is judged to be an abnormal person, and alarm reminding is triggered.
And 106, performing spatio-temporal data display on the health query information of each group member in the social institution according to the group book.
In one embodiment, as shown in fig. 7, the performing spatio-temporal data presentation on health query information of each group member in a social institution according to a group book includes:
step 701, building a map visual model of a social institution, building and house.
The map visual model comprises house codes.
In one embodiment, the method for establishing a map visual model of a social institution building-house comprises the following steps: acquiring basic map data, and establishing an administrative division map layer, a social mechanism map layer, a building map layer and an interest point map layer according to the basic map data; collecting house data, wherein the house data comprises house codes, social institution names, building names and house names; the method comprises the steps of loading house data by using a geographic information system platform, associating the house data to a building map layer through a corresponding relation between the building name in the house data and the building name in the building map layer, and forming a map intuitive model of social institution-building-house.
The collection of basic map data may be performed by a public tile map server such as a high grade server, a Baidu server, or the like, and the basic map data includes administrative divisions, institutions, buildings, points of interest, or the like. And collecting house data to form a house information table, wherein the house information table comprises house codes, social institution names, building names and house names. The geographic information system platform refers to mainstream GIS platforms such as Arcgis, surermap, mapGIS and the like.
And 702, collecting the house personnel data, and generating a personnel information table according to the house personnel data.
The personnel information table comprises names, certificate numbers and house codes.
The identification number comprises an identification number and a mobile phone number, and the identification number and the mobile phone number are consistent with the health inquiry authentication information.
And 703, associating the personnel information table to the map visual model through house coding.
And performing attribute association on the population data and the spatial house data to realize the spatialization of the population data. In the aspect of spatial visualization of population information, a house is used as a carrier, population attributes are used as display contents, and the spatial distribution condition of community population is visually displayed.
Step 704, generating a member health monitoring table according to the health query information of each group member in the group book.
Wherein, the member health monitoring table comprises a serial number, user identification of group members, monitoring time, health status, nucleic acid days and vaccination information.
And comparing the data with the health query data, and regularly refreshing the health query information of each group member of the social institution.
Step 705, according to the user identity, name and certificate number, associating one piece of personnel information in the personnel information table with a plurality of pieces of monitoring information in the member health monitoring table, so as to realize the spatio-temporal data display of the health query information of each group member in the social institution.
And a space-time data model facing to an object is adopted, the personnel information table and the member health monitoring table are stored separately, and one piece of personnel information in the personnel information table is associated with a plurality of pieces of monitoring information in the member health monitoring table. In the aspect of spatio-temporal data query management, the personnel identification codes are taken as links to perform related query on the personnel detection information according to the time sequence.
In a specific embodiment, the accurate monitoring method for group book implementers based on the city codes can be applied to the accurate monitoring system for group book implementers based on the city codes. Fig. 8 is a schematic structural diagram of a system for accurately monitoring people in a corporate book based on city codes. In fig. 8, the accurate monitoring system for implementing personnel of the group book based on the city code comprises a city code platform, a two-dimensional code cache middle platform, a group book, an abnormality early warning platform, a three-dimensional GIS analysis platform, a big data support platform and a health query platform. The city code platform forms a source code by basic information such as names and certificate numbers according to a uniform coding system, two-dimension code application, two-dimension code assembly, signature service calling and encryption modes are carried out through the city code platform, an encrypted two-dimension code string is output to a two-dimension code cache middle platform, and an encrypted two-dimension code string based on the names and the certificate numbers is formed. And the two-dimension code cache middle platform sends the encrypted two-dimension code string to the group book. The health query platform stores health query information of each group member, wherein the health query information comprises monitoring time, health state, nucleic acid days, nucleic acid historical data, vaccination information and Beijing entrance state. The big data support platform obtains the health query information of each group member from the health query platform in real time through big concurrent and high-performance interface service and data transmission security encryption and decryption technology. The abnormity early warning platform triggers the alarm reminding of abnormal personnel according to the group book, and the related abnormity early warning technology comprises threshold value alarm and multi-factor combination alarm. The three-dimensional GIS analysis platform is used for displaying the spatio-temporal data of the health query information of each group member in the social mechanism according to the group book, and comprises a basic map model, a population spatialization data layer and a health state spatio-temporal layer.
For example, a community manager can apply for a corresponding group book through a city code platform, basic data of residents in the district are filled in real time based on a two-dimension code platform of the group book, the basic data are collected by a minimization unit, a shunt 1 enters a big data supporting platform for supporting data real-time exchange and update with health query, a shunt 2 enters an abnormity early warning platform for abnormity real-time alarm, and a shunt 3 enters a three-dimensional GIS analysis platform for space-time data display of health information of personnel in different states on a layer. And the data circulation aspect guarantees the safety of the full life cycle of the data in real time based on a safety encryption and decryption technology.
In summary, in the application, a group book of the social institution is generated according to the city code and the health query information of each group member, a flexible and efficient dynamic micro-standing book for monitoring the health of the social institution is constructed, the social institution can conveniently and timely master the health state of each group member in jurisdiction, daily health monitoring of each group member in jurisdiction is realized, and the prevention and control work is scientifically and accurately made. Moreover, according to the group book, alarm reminding of abnormal personnel is triggered, active early warning reminding can be achieved, active management capacity is improved, early detection, early prevention and early treatment are achieved, and prevention and control accuracy and efficiency are improved. According to the group book, the health query information of each group member in the social institution is subjected to space-time data display, so that the social institution can conveniently and intuitively master the health state of each group member in jurisdiction. The problem that the social institution cannot timely master the health state of each group member under jurisdiction is solved.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A group book implementation personnel accurate monitoring method based on city codes is characterized by comprising the following steps:
acquiring basic information of each group member governed by a social institution;
generating city codes of all the group members according to the basic information;
acquiring health query information of each group member according to the city code of each group member;
generating a group book of the social institution according to the city code and the health query information of each group member;
triggering alarm reminding of abnormal personnel according to the group book;
and performing space-time data display on the health query information of each group member in the social institution according to the group book.
2. The city code-based group book implementer accurate monitoring method of claim 1, wherein the basic information comprises a name and a certificate number;
generating the city code of each group member according to the basic information, wherein the city code comprises:
encrypting the name and the certificate number to generate a user identity of the group member, and taking the user identity as the content of the first field of the city code;
acquiring the contents of the length, version, code type, platform identification, ending time and personal information subject authorization record abstract, and taking the contents of the length, version, code type, platform identification, ending time and personal information subject authorization record abstract as the contents of a second field of the city code;
splicing the content of the first field and the content of the second field to generate spliced content, generating a digital signature value of the spliced content, and taking the digital signature value as the content of a third field of the city code;
and splicing the content of the first field, the content of the second field and the content of the third field to generate the city code of the group member.
3. The method for accurately monitoring corporate directory implementers based on city codes as claimed in claim 2, wherein the length and version refer to the length and version of the city code; the code type refers to the type of the city code; the platform identification refers to the identification of the platform where the city code is located; the ending time refers to the ending time of the city code; the personal information subject authorization record abstract comprises the health status and track data of the group members holding the city code.
4. The method for accurately monitoring group directory implementers based on city codes as claimed in claim 3, wherein the step of obtaining the health query information of each group member according to the city code of each group member comprises:
and acquiring health inquiry information of each group member from a health inquiry platform in real time through a big data support platform according to the city code of each group member, wherein the health inquiry information comprises monitoring time, health state, nucleic acid days, nucleic acid historical data, vaccination information and Beijing entrance state.
5. The method for accurately monitoring group directory implementers based on city codes as claimed in claim 2, wherein the encrypting the name and the certificate number to generate the user identification of the group member comprises:
generating a key pair by selecting a base point on an elliptic curve using an SM2 algorithm, wherein the key pair comprises a public key and a private key;
storing the key pair in a non-project directory of a server;
and reading a public key in the key pair, and coding the name and the certificate number on the elliptic curve according to the public key to generate the user identity of the group member.
6. The method for accurately monitoring group information book implementers based on city codes according to claim 5, wherein the step of acquiring the health query information of each group member from the health query platform in real time through the big data support platform according to the city code of each group member comprises the following steps:
reading a private key in the key pair through a big data support platform, and decrypting a user identity in a city code of the group member according to the private key to obtain the name and the certificate number of the group member;
and acquiring the health query information of each group member from a health query platform in real time according to the name and the certificate number of the group member.
7. The method for accurately monitoring group directory realization personnel based on city codes according to claim 4, wherein the triggering of the alarm prompt of abnormal personnel according to the group directory includes:
generating a nucleic acid detection data set of the group members according to the group book, wherein the nucleic acid detection data set comprises a first record identifier, a user identity identifier of the group members, a latest nucleic acid detection time and a latest nucleic acid detection result;
traversing the latest nucleic acid detection time in the nucleic acid detection data set, calculating a first difference obtained by subtracting the latest nucleic acid detection time from the current time, and generating a first key value pair with the first record identifier as a key word and the first difference as a value;
reading the first difference value from the first key value pair, and if the first difference value is greater than a nucleic acid day threshold value, taking the first record identifier corresponding to the first difference value in the first key value pair as a target first record identifier;
taking the user identity corresponding to the target first record identity in the nucleic acid detection data set as a first target user identity;
and taking the group member corresponding to the first target user identity as an abnormal person, and triggering an alarm prompt of the abnormal person.
8. The method for accurately monitoring group directory realization personnel based on city codes according to claim 4, wherein the triggering of the alarm prompt of abnormal personnel according to the group directory includes:
acquiring regional data, and generating a sensitive regional data set according to the regional data, wherein the sensitive regional data set comprises a second record identifier, a regional name, a regional location code identifier set, a risk level, a risk determination time and a risk relief time;
acquiring track data of the group members according to the group book, and generating a member track data set according to the track data, wherein the member track data set comprises a third record identifier, user identity identifiers of the group members, place code identifiers of the group members entering places and the time of scanning the place code identifiers of the group members;
traversing the place code identifiers in the member track data set according to the area place code identifier set in the sensitive area data set, and taking the place code identifiers included in the area place code identifier set as target place code identifiers to generate a target member track data set, wherein the target member track data set comprises the third record identifiers, the user identity identifiers of the group members, the target place code identifiers and the time when the group members scan the target place code identifiers;
when the time when the group member scans the target place code identifier is later than the risk determination time, calculating a second difference obtained by subtracting the time when the group member scans the target place code identifier from the current time, and generating a second key value pair with the third record identifier as a keyword and the second difference as a value;
reading the second difference value from the second key value pair, and if the second difference value is smaller than or equal to a threshold value of abnormal removal duration after leaving a risk area, taking the third record identifier corresponding to the second difference value in the second key value pair as a target third record identifier;
taking the user identity corresponding to the target third record identifier in the target member track data set as a second target user identity;
and taking the group member corresponding to the second target user identity as an abnormal person, and triggering an alarm prompt of the abnormal person.
9. The method for accurately monitoring personnel in a community book based on city codes according to claim 4, wherein the performing spatio-temporal data display on the health query information of each community member in the social institution according to the community book comprises:
establishing a map visual model of a social institution, a building and a house, wherein the map visual model comprises house codes;
collecting house personnel data, and generating a personnel information table according to the house personnel data, wherein the personnel information table comprises names, certificate numbers and house codes;
associating the personnel information table to the map visual model through the house code;
generating a member health monitoring table according to the health query information of each group member in the group book, wherein the member health monitoring table comprises a serial number, user identification of the group member, monitoring time, health state, nucleic acid days and vaccination information;
and associating one piece of personnel information in the personnel information table with a plurality of pieces of monitoring information in the member health monitoring table according to the user identity, the name and the certificate number so as to realize the space-time data display of the health query information of each group member in the social institution.
10. The method for accurately monitoring group information book implementers based on city codes as claimed in claim 9, wherein the establishing of a map visual model of social institution-building-house comprises:
acquiring basic map data, and establishing an administrative division map layer, a social mechanism map layer, a building map layer and an interest point map layer according to the basic map data;
collecting house data, wherein the house data comprises house codes, social institution names, building names and house names;
and loading the house data by using a geographic information system platform, and associating the house data to the building map layer according to the corresponding relation between the building name in the house data and the building name in the building map layer to form a map intuitive model of social institution-building-house.
CN202310101093.6A 2023-02-13 2023-02-13 Accurate monitoring method for group book implementing personnel based on city codes Pending CN115841879A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010037317A1 (en) * 2000-04-26 2001-11-01 Ray Freiwirth Method and system for dynamic interactive queries
CN112686353A (en) * 2020-12-29 2021-04-20 天博电子信息科技有限公司 Urban traffic health code information data management system
US20210391041A1 (en) * 2020-06-12 2021-12-16 Tensorx, Inc. Health Safety System, Service, and Method
CN114647827A (en) * 2022-03-30 2022-06-21 高承炳 Method and system for displaying and supervising nucleic acid records and results
CN115130012A (en) * 2022-06-30 2022-09-30 数字广东网络建设有限公司 Method and device for joining group, electronic equipment and storage medium
CN115376701A (en) * 2022-08-02 2022-11-22 上海市基础工程集团有限公司 Method for accurately managing health state of personnel in area

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010037317A1 (en) * 2000-04-26 2001-11-01 Ray Freiwirth Method and system for dynamic interactive queries
US20210391041A1 (en) * 2020-06-12 2021-12-16 Tensorx, Inc. Health Safety System, Service, and Method
CN112686353A (en) * 2020-12-29 2021-04-20 天博电子信息科技有限公司 Urban traffic health code information data management system
CN114647827A (en) * 2022-03-30 2022-06-21 高承炳 Method and system for displaying and supervising nucleic acid records and results
CN115130012A (en) * 2022-06-30 2022-09-30 数字广东网络建设有限公司 Method and device for joining group, electronic equipment and storage medium
CN115376701A (en) * 2022-08-02 2022-11-22 上海市基础工程集团有限公司 Method for accurately managing health state of personnel in area

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