CN114297448B - License applying method, system and medium based on intelligent epidemic prevention big data identification - Google Patents

Abstract

The embodiment of the application provides a license applying method and system based on intelligent epidemic prevention big data identification and a readable storage medium. The method comprises the following steps: acquiring a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic, acquiring license applying information of the user, generating user characteristic portrait information according to the license applying information and the characteristic signaling, performing data difference comparison with an epidemic prevention database according to the user characteristic portrait information, acquiring security difference data, performing threshold comparison according to the security difference data and a license type identification threshold corresponding to a license data identification database, and judging a license applying result of the user according to a threshold comparison result; therefore, data identification is carried out on the user application certificate based on the intelligent epidemic prevention big data, and collection and processing of identity information, safety information and epidemic prevention information are achieved, so that the safety risk condition of the application user is distinguished, the safety identification accuracy of the user is improved, and the safety identification vulnerability of the user is reduced.

Description

License application method, system and medium based on intelligent epidemic prevention big data identification

Technical Field

The application relates to the technical field of license application and security and epidemic prevention, in particular to a license application method and system based on intelligent epidemic prevention big data identification and a readable storage medium.

Background

With the development of social economy and the expansion of diversified activities of residents, the handling of various certificates is an essential element of modern resident daily life, such as a passport, a pass, a driving license, an identity card and the like, and with the normalization and globalization current situation of an epidemic situation, the complex social environment and diversified population identities are added, the examination of the certificates is particularly important and complex, the safety information of various populations must be mastered and known according to the epidemic situation prevention and control demand and the social safety demand, so that the condition of applying the certificates of users can be screened to ensure the safety of certificate issuance, the social safety risk is reduced, and the safety of certificate authorization is increased.

However, the existing license examination and authorization management mode mainly acquires the license sponsor information by using a method of collecting and counting sponsor information through each household and public management platform or the traditional internet, but lacks comprehensive data information collection and analysis capability and lacks more precise and detailed collection and discrimination means for the security dynamic situation, identity information situation and dynamic epidemic prevention situation of a sponsor user, so that the traditional license examination and authorization mode lacks accurate identification and judgment capability for obtaining the license sponsor user data, cannot accurately grasp the situations of various license sponsors, and is difficult to provide sufficient and accurate data support for license authorization issuance.

In view of the above problems, an effective technical solution is urgently needed.

Disclosure of Invention

The embodiment of the application aims to provide a license applying method and system based on intelligent epidemic prevention big data identification and a readable storage medium, and the accuracy of accurate identification and discrimination issuing of the license applying user condition can be improved.

The embodiment of the application also provides a license application method based on intelligent epidemic prevention big data identification, which comprises the following steps:

acquiring a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic;

acquiring license applying information of a user, and generating user characteristic portrait information according to the license applying information and a characteristic signaling;

comparing the data difference according to the user feature portrait information and an epidemic prevention database to obtain safety difference data;

comparing the threshold value according to the safety difference data and the identification threshold value of the certificate type corresponding to the certificate data identification database;

and judging the user license applying result according to the threshold comparison result.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the present application, the acquiring the feature signaling of the user includes:

acquiring user information characteristics according to a user data platform;

the user information characteristics comprise identity information data, safety credit data, social integrity data and family background data of the user;

acquiring user track characteristics according to a travel database;

the user trajectory features comprise activity area data, exposure risk data and a path safety threshold of the user within a preset time period;

and synthesizing the user characteristic signaling according to the user information characteristic and the user track characteristic.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the present application, the path security threshold includes:

acquiring the user travel track node data;

acquiring a plurality of node safety thresholds according to the travel track node data;

the node safety threshold correspondingly acquires the safety threshold of each node according to the track node risk data;

acquiring a path risk threshold according to the travel track node data;

and obtaining a path safety threshold according to the path risk threshold and the node safety threshold.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the present application, the obtaining license applying information of the user, and generating user feature portrait information according to the license applying information and the feature signaling include:

obtaining license applying information of the user, wherein the license applying information comprises applying type information, target risk information and historical violation data;

inquiring in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user to obtain the identity security data, the historical risk data and the target wind control data of the user;

and generating the user characteristic portrait information according to the identity safety data, the historical risk data and the target wind control data of the user.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the present application, the querying in a license authorization risk database according to the applying category information, the objective risk information, and the historical violation data and the identity information data, the security credit data, the social integrity data, and the user trajectory characteristics of the user to obtain the identity security data, the historical risk data, and the objective wind control data of the user includes:

obtaining a certificate authorization risk database;

the license authorization risk database comprises identity safety data, historical risk data and target wind control data of historical license applying users of various types;

the identity safety data comprises identity information data and activity area data of a historical license type application user;

the historical risk data comprises exposure risk data, historical violation data and safety credit data of a historical license type applying user;

the target wind control data comprises target risk information and social integrity data of a historical license type application user;

searching the identity safety data, the historical risk data and the target wind control data of the claiming user according to the certificate claiming information of the user, the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user in a certificate authorization risk database, wherein the historical certificate claiming type accords with the contrast similarity;

and submitting the identity safety data, the historical risk data and the target wind control data of the user according to the historical license type to serve as the identity safety data, the historical risk data and the target wind control data of the user.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the present application, the method further includes:

the license authorization risk database also comprises the identity security level, the historical risk level and the target wind control level of the historical license applying users of various types;

the identity security level, the historical risk level and the target wind control level are respectively classified into a level I, a level II and a level III;

the identity security level, the historical risk level and the target wind control level are respectively obtained according to the identity security data, the historical risk data and the target wind control data;

and adding the user characteristic image information according to the identity security level, the historical risk level and the target wind control level of the user.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the application, the obtaining of the security difference data by performing data difference comparison between the user feature portrait information and the epidemic prevention database includes:

extracting feature data according to the user feature portrait information to obtain the user epidemic prevention data set;

the user epidemic prevention data set comprises epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data;

and comparing the epidemic prevention risk index difference according to the user epidemic prevention data set and an epidemic prevention database to obtain the safety difference data of the user.

Optionally, in the license applying method based on intelligent epidemic prevention big data identification according to the embodiment of the present application, the comparing the security difference data with the license type identification threshold corresponding to the license data identification library by using the threshold includes:

acquiring a certificate data identification library;

according to the application category information of the user license application, license type identification data corresponding to the license application category is searched in the license data identification database, and a corresponding license type identification threshold value is obtained;

comparing a threshold value according to the safety difference data of the user and the license type identification threshold value;

and judging the license applying passing condition of the user according to the threshold comparison result.

In a second aspect, an embodiment of the present application provides a license application system based on intelligent epidemic prevention big data identification, where the system includes: the intelligent epidemic prevention big data identification-based license applying method comprises a memory and a processor, wherein the memory comprises a program of the intelligent epidemic prevention big data identification-based license applying method, and the program of the intelligent epidemic prevention big data identification-based license applying method realizes the following steps when being executed by the processor:

acquiring a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic;

acquiring license applying information of a user, and generating user characteristic portrait information according to the license applying information and a characteristic signaling;

comparing the data difference according to the user feature portrait information and an epidemic prevention database to obtain safety difference data;

comparing the threshold value according to the safety difference data and the identification threshold value of the certificate type corresponding to the certificate data identification database;

and judging the user license applying result according to the threshold comparison result.

In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium includes a license applying method program based on intelligent epidemic prevention big data identification, and when the license applying method program based on intelligent epidemic prevention big data identification is executed by a processor, the steps of the license applying method based on intelligent epidemic prevention big data identification as described in any one of the above are implemented.

As can be seen from the above, the license applying method and system based on intelligent epidemic prevention big data identification provided by the embodiment of the application provide a feature signaling for obtaining a user, where the feature signaling includes a user information feature and a user track feature, obtain user license applying information, generate user feature portrait information according to the license applying information and the feature signaling, perform data difference comparison with an epidemic prevention database according to the user feature portrait information, obtain security difference data, perform threshold comparison with a license type identification threshold corresponding to a license data identification database according to the security difference data, and determine a user license applying result according to the threshold comparison result; therefore, data identification is carried out on the user application certificate based on the intelligent epidemic prevention big data, and the collection and processing of the user identity information, the safety information and the epidemic prevention information are achieved, so that the safety risk condition of the application user is distinguished, the safety identification precision rate of the user is improved, and the safety identification loophole of the application certificate user is reduced.

Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a flowchart of a license application method based on intelligent epidemic prevention big data identification according to an embodiment of the present application.

Fig. 2 is a schematic structural diagram of a certificate application system based on intelligent epidemic prevention big data identification according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that like reference numerals and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

Referring to fig. 1, fig. 1 is a flowchart of a license filing method based on intelligent epidemic prevention big data identification in some embodiments of the present application. The certificate applying method based on intelligent epidemic prevention big data identification is used in terminal equipment, such as a computer terminal and the like. The license applying method based on intelligent epidemic prevention big data identification comprises the following steps:

s101, obtaining a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic;

s102, obtaining license applying information of a user, and generating user characteristic portrait information according to the license applying information and a characteristic signaling;

s103, performing data difference comparison according to the user feature portrait information and an epidemic prevention database to obtain safety difference data;

s104, comparing a threshold value according to the safety difference data and a license type identification threshold value corresponding to a license data identification library;

and S105, judging the user license applying result according to the threshold comparison result.

The authorization condition of the claiming user is judged by comparing the security difference data with the certificate type identification threshold corresponding to the certificate data identification library, judging the claiming result of the certificate according to the comparison result, realizing the purpose of obtaining the relevant security feature information by combining the certificate claiming user information with the epidemic prevention big data, obtaining the difference data by comparing the security difference data, and comparing the authorization condition of the claiming user according to the difference data and the identification threshold in the certificate data identification library, thereby realizing the auditing function of the user security information and the epidemic prevention information by the big data.

According to the embodiment of the present invention, the obtaining of the feature signaling of the user specifically includes:

acquiring user information characteristics according to a user data platform;

the user information characteristics comprise identity information data, safety credit data, social integrity data and family background data of the user;

acquiring user track characteristics according to a travel database;

the user trajectory features comprise activity area data, exposure risk data and a path safety threshold of the user within a preset time period;

and synthesizing the user characteristic signaling according to the user information characteristic and the user track characteristic.

It should be noted that, in order to obtain the user information characteristics, the information characteristics of the license application user can be obtained through the user administration organization or the public government organization and other data platforms, the user information characteristics include the identity information data, the security credit data, the social integrity data and the family background data of the user, the identification capability of the application regulation of the user license can be met according to the collection of the user information data, in addition, the user track characteristics are obtained through the journey database, the user track characteristics comprise the activity area data, the exposure risk data and the path safety threshold value of the user within the preset time period, the method can acquire the activity condition of the user within the required time, is convenient for judging the epidemic prevention risk and the contact risk of the user, provides support for checking certificate application and safety information of the user, and synthesizes a user characteristic signaling according to the user information characteristic and the user track characteristic.

According to the embodiment of the present invention, the path safety threshold specifically includes:

acquiring the user travel track node data;

acquiring a plurality of node safety thresholds according to the travel track node data;

the node safety threshold correspondingly acquires the safety threshold of each node according to the track node risk data;

acquiring a path risk threshold according to the travel track node data;

and obtaining a path safety threshold according to the path risk threshold and the node safety threshold.

It should be noted that the path safety threshold is obtained according to a plurality of node safety thresholds and path risk thresholds corresponding to the user route track node data, where the node safety thresholds are obtained by aggregating the safety thresholds of the nodes corresponding to the track node risk data, for example, a track of the user a passes through five nodes, and each node corresponds to three risk data

Acquiring a node threshold value according to the risk data and the risk coefficient, acquiring a node safety threshold value from the five node threshold value sets, acquiring a path risk threshold value according to the travel track node data, specifically, sectional epidemic prevention joint sealing data of the track node, such as two track sections of a track node result of the user A, wherein the epidemic prevention joint sealing coefficient of each section is multiplied by the joint sealing risk data to be the path risk threshold value of the user A, and acquiring the path safety threshold value according to the path risk threshold value and the node safety threshold value;

the calculation formula of the path safety threshold value is as follows:

；

wherein,

、

、

the risk coefficients corresponding to the node risk data,

for the three risk data of the node,

the method comprises the steps of determining the epidemic prevention joint sealing coefficient of each track section, determining the joint sealing risk data of each track section, determining the number of nodes passed by the track, i the ith passed node, m the number of the track sections, s the ith passed track section and R the path safety threshold.

According to the embodiment of the invention, the obtaining of the license applying information of the user and the generation of the characteristic portrait information of the user according to the license applying information and the characteristic signaling specifically comprise:

obtaining license applying information of the user, wherein the license applying information comprises applying type information, target risk information and historical violation data;

inquiring in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user to obtain the identity security data, the historical risk data and the target wind control data of the user;

and generating the user characteristic portrait information according to the identity safety data, the historical risk data and the target wind control data of the user.

It should be noted that the license authorization risk database comprises license application information, user information characteristics, user track characteristics, corresponding identity safety data, historical risk data and target wind control data of each type of historical license application user, user characteristic picture information is generated according to the identity safety data, the historical risk data and the target wind control data of the user, authorization risks of the license application user can be described through the user characteristic picture information, risk conditions issued by the user license are analyzed through big data, the license application information comprises application category information, target risk information and historical violation data which can be obtained through a data platform, the target risk information is corresponding risk information obtained according to target behaviors or destinations of the application user, the license authorization risk database comprises a large amount of risk data corresponding to the information data of each type of historical license application user, the larger the sample data size is, the more accurate the database query result is.

According to the embodiment of the invention, the identity security data, the historical risk data and the target wind control data of the user are obtained by respectively querying the license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user, and specifically:

obtaining a certificate authorization risk database;

the license authorization risk database comprises identity safety data, historical risk data and target wind control data of historical license applying users of various types;

the identity security data comprises identity information data and activity area data of a historical license type application user;

the historical risk data comprises exposure risk data, historical violation data and safety credit data of a historical license type applying user;

the target wind control data comprises target risk information and social integrity data of a historical license type application user;

searching the identity safety data, the historical risk data and the target wind control data of the claiming user according to the certificate claiming information of the user, the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user in a certificate authorization risk database, wherein the historical certificate claiming type accords with the contrast similarity;

and submitting the identity safety data, the historical risk data and the target wind control data of the user according to the historical license type to serve as the identity safety data, the historical risk data and the target wind control data of the user.

It should be noted that similarity comparison is performed in the license authorization risk database according to the license applying information, the identity information data, the security credit data, the social integrity data and the user trajectory characteristics of the applying user to obtain the historical license type applying user meeting the preset similarity requirement, and the identity security data, the historical risk data and the target wind control data of the applying user according to the historical license type are used as data to be searched by the applying user, wherein the similarity comparison can be Euclidean similarity or cosine similarity.

According to the embodiment of the invention, the method further comprises the following steps:

the license authorization risk database also comprises the identity security level, the historical risk level and the target wind control level of each type of historical license applying user;

the identity security level, the historical risk level and the target wind control level are respectively divided into a level I, a level II and a level III;

the identity security level, the historical risk level and the target wind control level are respectively obtained according to the identity security data, the historical risk data and the target wind control data;

and adding the user characteristic image information according to the identity security level, the historical risk level and the target wind control level of the user.

It should be noted that, in order to better reflect the security information and risk data of the license applying user, the identity security level, the historical risk level and the target wind control level are correspondingly obtained according to the identity security data, the historical risk data and the target wind control data, wherein the levels are respectively divided into a level I, a level II and a level III, and the identity security level, the historical risk level and the target wind control level are added into the user characteristic image information to more accurately depict the security status of the user.

According to the embodiment of the invention, the safety difference data is obtained by comparing the user characteristic portrait information with the epidemic prevention database, and the safety difference data is obtained by:

extracting feature data according to the user feature portrait information to obtain the user epidemic prevention data set;

the user epidemic prevention data set comprises epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data;

and comparing the epidemic prevention risk index difference according to the user epidemic prevention data set and an epidemic prevention database to obtain the safety difference data of the user.

The method comprises the steps of extracting characteristic data according to user characteristic portrait information to obtain a user epidemic prevention data set comprising epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data, and then performing epidemic prevention risk index difference comparison according to a user epidemic prevention data set and an epidemic prevention database to obtain safety difference data of a user;

the safety difference data discrimination formula is as follows:

；

wherein,

、

、

、

for setting parameters, F, V, W, H are respectively epidemic area activity data, identity risk data, epidemic prevention integrity data and purpose exposure data,

p is the epidemic prevention risk index and the safety difference data.

According to the embodiment of the invention, the threshold value comparison is carried out according to the safety difference data and the identification threshold value of the certificate type corresponding to the certificate data identification database, and the threshold value comparison specifically comprises the following steps:

acquiring a certificate data identification database;

according to the application category information of the user license application, license type identification data corresponding to the license application category is searched in the license data identification database, and a corresponding license type identification threshold value is obtained;

comparing a threshold value according to the safety difference data of the user and the license type identification threshold value;

and judging the license applying passing condition of the user according to the threshold comparison result.

It should be noted that, in order to determine the condition of passing the license application of the user, the threshold value is compared with the license type identification threshold value according to the security difference data of the user, the license type identification threshold value is obtained by searching the corresponding license type identification data in the license data identification database according to the application category information of the user license application, and the judgment is performed according to the threshold value comparison result, wherein the threshold value is set to 85%.

As shown in fig. 2, the present invention further discloses a license applying system based on the intelligent epidemic prevention big data identification, which includes amemory 201 and aprocessor 202, wherein the memory includes a license applying method program based on the intelligent epidemic prevention big data identification, and when executed by the processor, the license applying method program based on the intelligent epidemic prevention big data identification implements the following steps:

acquiring a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic;

acquiring license applying information of a user, and generating user characteristic portrait information according to the license applying information and a characteristic signaling;

comparing the data difference according to the user feature portrait information and an epidemic prevention database to obtain safety difference data;

comparing the threshold value according to the safety difference data and the identification threshold value of the certificate type corresponding to the certificate data identification database;

and judging the user license applying result according to the threshold comparison result.

The authorization condition of the claiming user is judged by comparing the security difference data with the certificate type identification threshold corresponding to the certificate data identification library, judging the claiming result of the certificate according to the comparison result, realizing the purpose of obtaining the relevant security feature information by combining the certificate claiming user information with the epidemic prevention big data, obtaining the difference data by comparing the security difference data, and comparing the authorization condition of the claiming user according to the difference data and the identification threshold in the certificate data identification library, thereby realizing the auditing function of the user security information and the epidemic prevention information by the big data.

According to the embodiment of the present invention, the obtaining of the feature signaling of the user specifically includes:

acquiring user information characteristics according to a user data platform;

the user information characteristics comprise identity information data, safety credit data, social integrity data and family background data of the user;

acquiring user track characteristics according to a travel database;

the user trajectory features comprise activity area data, exposure risk data and a path safety threshold of the user within a preset time period;

and synthesizing the user characteristic signaling according to the user information characteristic and the user track characteristic.

It should be noted that, in order to obtain the information characteristics of the user, the information characteristics of the license applying user can be obtained through the user administration organization or the public government organization and other data platforms, the information characteristics of the user include the identity information data, the security credit data, the social integrity data and the family background data of the user, the identification capability of the application regulation of the user license can be met according to the collection of the user information data, in addition, the user track characteristics are obtained through the journey database, the user track characteristics comprise the activity area data, the exposure risk data and the path safety threshold value of the user within the preset time period, the activity condition of the user in the required time can be obtained, the epidemic prevention risk and the contact risk of the user can be conveniently judged, support is provided for verifying the license application and safety information of the user, and the user characteristic signaling is synthesized according to the user information characteristic and the user track characteristic.

According to the embodiment of the present invention, the path safety threshold specifically includes:

acquiring the user travel track node data;

acquiring a plurality of node safety thresholds according to the travel track node data;

the node safety threshold correspondingly acquires the safety threshold of each node according to the track node risk data;

acquiring a path risk threshold according to the travel track node data;

and obtaining a path safety threshold according to the path risk threshold and the node safety threshold.

It should be noted that the path safety threshold is obtained according to a plurality of node safety thresholds and path risk thresholds corresponding to the user route track node data, where the node safety thresholds are obtained by aggregating the safety thresholds of the nodes corresponding to the track node risk data, for example, a track of the user a passes through five nodes, and each node corresponds to three risk data

Acquiring a node threshold value according to the risk data and the risk coefficient, acquiring a node safety threshold value from the five node threshold value sets, acquiring a path risk threshold value according to the travel track node data, specifically, sectional epidemic prevention joint sealing data of the track node, such as two track sections of a track node result of the user A, wherein the epidemic prevention joint sealing coefficient of each section is multiplied by the joint sealing risk data to be the path risk threshold value of the user A, and acquiring the path safety threshold value according to the path risk threshold value and the node safety threshold value;

the calculation formula of the path safety threshold value is as follows:

；

wherein,

、

、

the risk coefficients corresponding to the node risk data,

for the three risk data of the node,

the method comprises the steps of determining the epidemic prevention joint sealing coefficient of each track section, determining the joint sealing risk data of each track section, determining the number of nodes passed by the track, i the ith passed node, m the number of the track sections, s the ith passed track section and R the path safety threshold.

According to the embodiment of the invention, the obtaining of the license applying information of the user and the generation of the characteristic portrait information of the user according to the license applying information and the characteristic signaling specifically comprise:

obtaining license applying information of the user, wherein the license applying information comprises applying type information, target risk information and historical violation data;

inquiring in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user to obtain the identity security data, the historical risk data and the target wind control data of the user;

and generating the user characteristic portrait information according to the identity safety data, the historical risk data and the target wind control data of the user.

It should be noted that the license authorization risk database comprises license application information, user information characteristics, user track characteristics, corresponding identity safety data, historical risk data and target wind control data of each type of historical license application user, user characteristic picture information is generated according to the identity safety data, the historical risk data and the target wind control data of the user, authorization risks of the license application user can be described through the user characteristic picture information, risk conditions issued by the user license are analyzed through big data, the license application information comprises application category information, target risk information and historical violation data which can be obtained through a data platform, the target risk information is corresponding risk information obtained according to target behaviors or destinations of the application user, the license authorization risk database comprises a large amount of risk data corresponding to the information data of each type of historical license application user, the larger the sample data amount is, the more accurate the database query result is.

According to the embodiment of the invention, the identity security data, the historical risk data and the target wind control data of the user are obtained by respectively querying the license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user, and specifically:

obtaining a certificate authorization risk database;

the license authorization risk database comprises identity safety data, historical risk data and target wind control data of historical license applying users of various types;

the identity safety data comprises identity information data and activity area data of a historical license type application user;

the historical risk data comprises exposure risk data, historical violation data and safety credit data of a historical license type applying user;

the target wind control data comprises target risk information and social integrity data of a historical license type application user;

searching the identity safety data, the historical risk data and the target wind control data of the claiming user according to the certificate claiming information of the user, the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user in a certificate authorization risk database, wherein the historical certificate claiming type accords with the contrast similarity;

and submitting the identity safety data, the historical risk data and the target wind control data of the user according to the historical license type to serve as the identity safety data, the historical risk data and the target wind control data of the user.

It should be noted that similarity comparison is performed in the license authorization risk database according to the license applying information, the identity information data, the security credit data, the social integrity data and the user trajectory characteristics of the applying user to obtain the historical license type applying user meeting the preset similarity requirement, and the identity security data, the historical risk data and the target wind control data of the applying user according to the historical license type are used as data to be searched by the applying user, wherein the similarity comparison can be Euclidean similarity or cosine similarity.

According to the embodiment of the invention, the method further comprises the following steps:

the license authorization risk database also comprises the identity security level, the historical risk level and the target wind control level of each type of historical license applying user;

the identity security level, the historical risk level and the target wind control level are respectively classified into a level I, a level II and a level III;

the identity security level, the historical risk level and the target wind control level are respectively obtained according to the identity security data, the historical risk data and the target wind control data;

and adding the user characteristic image information according to the identity security level, the historical risk level and the target wind control level of the user.

It should be noted that, in order to better reflect the security information and risk data of the license applying user, the identity security level, the historical risk level and the target wind control level are correspondingly obtained according to the identity security data, the historical risk data and the target wind control data, wherein the levels are respectively divided into a level I, a level II and a level III, and the identity security level, the historical risk level and the target wind control level are added into the user characteristic image information to more accurately depict the security status of the user.

According to the embodiment of the invention, the data difference comparison is performed according to the user characteristic portrait information and an epidemic prevention database to obtain the security difference data, and the method specifically comprises the following steps:

extracting feature data according to the user feature portrait information to obtain the user epidemic prevention data set;

the user epidemic prevention data set comprises epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data;

and comparing the epidemic prevention risk index difference according to the user epidemic prevention data set and an epidemic prevention database to obtain the safety difference data of the user.

The method comprises the steps of extracting characteristic data according to user characteristic portrait information to obtain a user epidemic prevention data set comprising epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data, and then performing epidemic prevention risk index difference comparison according to a user epidemic prevention data set and an epidemic prevention database to obtain safety difference data of a user;

the safety difference data discrimination formula is as follows:

；

wherein,

、

、

、

for setting parameters, F, V, W, H are respectively epidemic area activity data, identity risk data, epidemic prevention integrity data and purpose exposure data,

p is the safety difference data.

According to the embodiment of the invention, the threshold comparison is carried out according to the safety difference data and the identification threshold of the corresponding license type of the license data identification database, and the threshold comparison specifically comprises the following steps:

acquiring a certificate data identification library;

according to the application category information of the user license application, license type identification data corresponding to the license application category is searched in the license data identification database, and a corresponding license type identification threshold value is obtained;

comparing a threshold value according to the safety difference data of the user and the license type identification threshold value;

and judging the license applying passing condition of the user according to the threshold comparison result.

It should be noted that, in order to determine the condition of passing the license application of the user, the threshold value is compared with the license type identification threshold value according to the security difference data of the user, the license type identification threshold value is obtained by searching the corresponding license type identification data in the license data identification database according to the application category information of the user license application, and the judgment is performed according to the threshold value comparison result, wherein the threshold value is set to 85%.

The invention provides a readable storage medium, wherein the readable storage medium comprises a certificate applying method program based on intelligent epidemic prevention big data identification, and when the certificate applying method program based on intelligent epidemic prevention big data identification is executed by a processor, the steps of the certificate applying method based on intelligent epidemic prevention big data identification are realized.

The invention discloses a certificate applying method, a certificate applying system and a readable storage medium based on intelligent epidemic prevention big data identification.A user certificate applying information is obtained by obtaining a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic, the user certificate applying information is generated according to the certificate applying information and the characteristic signaling, data difference comparison is carried out according to the user characteristic image information and an epidemic prevention database to obtain safety difference data, threshold comparison is carried out according to the safety difference data and a certificate type identification threshold corresponding to a certificate data identification database, and a user certificate applying result is judged according to a threshold comparison result; therefore, data identification is carried out on the user application certificate based on the intelligent epidemic prevention big data, and the collection and processing of user identity information, safety information and epidemic prevention information are achieved, so that the safety risk condition of the application user is distinguished, the safety identification accuracy rate of the user is improved, and the safety identification loophole of the application certificate user is reduced.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

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 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 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 stored in a storage medium, and including 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.

Claims (6)

1. A license applying method based on intelligent epidemic prevention big data identification is characterized by comprising the following steps:

acquiring a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic;

acquiring license applying information of a user, and generating user characteristic portrait information according to the license applying information and a characteristic signaling;

comparing the data difference according to the user feature portrait information and an epidemic prevention database to obtain safety difference data;

comparing the threshold value according to the safety difference data and the identification threshold value of the certificate type corresponding to the certificate data identification database;

judging the user license applying result according to the threshold comparison result;

the obtaining of the license applying information of the user and the generation of the characteristic portrait information of the user according to the license applying information and the characteristic signaling comprise the following steps:

obtaining license applying information of the user, wherein the license applying information comprises applying type information, target risk information and historical violation data;

inquiring in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user to obtain the identity security data, the historical risk data and the target wind control data of the user;

generating the user characteristic portrait information according to the identity safety data, the historical risk data and the target wind control data of the user;

the method for inquiring the identity safety data, the historical risk data and the target wind control data of the user in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user comprises the following steps:

obtaining a certificate authorization risk database;

the license authorization risk database comprises identity safety data, historical risk data and target wind control data of historical license applying users of various types;

the identity security data comprises identity information data and activity area data of a historical license type application user;

the historical risk data comprises exposure risk data, historical violation data and safety credit data of a historical license type applying user;

the target wind control data comprises target risk information and social integrity data of a historical license type application user;

searching the identity safety data, the historical risk data and the target wind control data of the claiming user according to the certificate claiming information of the user, the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user in a certificate authorization risk database, wherein the historical certificate claiming type accords with the contrast similarity;

submitting the identity safety data, the historical risk data and the target wind control data of the user according to the historical license type to serve as the identity safety data, the historical risk data and the target wind control data of the user;

further comprising:

the license authorization risk database also comprises the identity security level, the historical risk level and the target wind control level of each type of historical license applying user;

the identity security level, the historical risk level and the target wind control level are respectively classified into a level I, a level II and a level III;

the identity security level, the historical risk level and the target wind control level are respectively obtained according to the identity security data, the historical risk data and the target wind control data;

adding the user characteristic image information according to the identity security level, the historical risk level and the target wind control level of the user;

the step of comparing the data difference according to the user feature portrait information and an epidemic prevention database to obtain safety difference data comprises the following steps:

extracting feature data according to the user feature portrait information to obtain the user epidemic prevention data set;

the user epidemic prevention data set comprises epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data;

comparing epidemic prevention risk index differences according to the user epidemic prevention data set and an epidemic prevention database to obtain safety difference data of the user;

the safety difference data has the formula:

；

wherein,

、

、

、

for setting parameters, F, V, W, H are respectively epidemic area activity data, identity risk data, epidemic prevention integrity data and purpose exposure data,

p is the safety difference data.

2. The certificate applying method based on intelligent epidemic prevention big data identification as claimed in claim 1, wherein the obtaining of the characteristic signaling of the user comprises:

acquiring user information characteristics according to a user data platform;

the user information characteristics comprise identity information data, safety credit data, social integrity data and family background data of the user;

acquiring user track characteristics according to a travel database;

the user trajectory features comprise activity area data, exposure risk data and a path safety threshold of the user within a preset time period;

and synthesizing the user characteristic signaling according to the user information characteristic and the user track characteristic.

3. The intelligent epidemic prevention big data identification-based license applying method according to claim 2, wherein the path safety threshold comprises:

acquiring the user travel track node data;

acquiring a plurality of node safety thresholds according to the travel track node data;

the node safety threshold correspondingly acquires the safety threshold of each node according to the track node risk data;

acquiring a path risk threshold according to the travel track node data;

and obtaining a path safety threshold according to the path risk threshold and the node safety threshold.

4. The license applying method based on intelligent epidemic prevention big data identification as claimed in claim 1, wherein the threshold comparison according to the security difference data and the license type identification threshold corresponding to the license data identification library comprises:

acquiring a certificate data identification library;

according to the application category information of the user license application, license type identification data corresponding to the license application category is searched in the license data identification database, and a corresponding license type identification threshold value is obtained;

comparing a threshold value according to the safety difference data of the user and the license type identification threshold value;

and judging the license applying passing condition of the user according to the threshold comparison result.

5. A certificate application system based on intelligent epidemic prevention big data identification is characterized by comprising: the intelligent epidemic prevention big data identification-based license applying method comprises a memory and a processor, wherein the memory comprises a program of the intelligent epidemic prevention big data identification-based license applying method, and the program of the intelligent epidemic prevention big data identification-based license applying method realizes the following steps when being executed by the processor:

acquiring a characteristic signaling of a user, wherein the characteristic signaling comprises a user information characteristic and a user track characteristic;

acquiring license applying information of a user, and generating user characteristic portrait information according to the license applying information and a characteristic signaling;

comparing the data difference according to the user feature portrait information and an epidemic prevention database to obtain safety difference data;

comparing the threshold value according to the safety difference data and the identification threshold value of the certificate type corresponding to the certificate data identification database;

judging the user license applying result according to the threshold comparison result;

the obtaining of the license applying information of the user and the generation of the characteristic portrait information of the user according to the license applying information and the characteristic signaling comprise the following steps:

obtaining license applying information of the user, wherein the license applying information comprises applying type information, target risk information and historical violation data;

inquiring in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the security credit data, the social integrity data and the user track characteristics of the user to obtain the identity security data, the historical risk data and the target wind control data of the user;

generating the user characteristic portrait information according to the identity safety data, the historical risk data and the target wind control data of the user;

the method for inquiring the identity safety data, the historical risk data and the target wind control data of the user in a license authorization risk database according to the application category information, the target risk information and the historical violation data and the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user comprises the following steps:

obtaining a license authorization risk database;

the license authorization risk database comprises identity safety data, historical risk data and target wind control data of historical license applying users of various types;

the identity security data comprises identity information data and activity area data of a historical license type application user;

the historical risk data comprises exposure risk data, historical violation data and safety credit data of a historical license type applying user;

the target wind control data comprises target risk information and social integrity data of a historical license type application user;

searching the identity safety data, the historical risk data and the target wind control data of the historical license type application user which accord with the contrast similarity in a license authorization risk database according to the license application information of the user, the identity information data, the safety credit data, the social integrity data and the user track characteristics of the user;

submitting the identity safety data, the historical risk data and the target wind control data of the user according to the historical license type to serve as the identity safety data, the historical risk data and the target wind control data of the user;

further comprising:

the license authorization risk database also comprises the identity security level, the historical risk level and the target wind control level of each type of historical license applying user;

the identity security level, the historical risk level and the target wind control level are respectively classified into a level I, a level II and a level III;

the identity security level, the historical risk level and the target wind control level are respectively obtained according to the identity security data, the historical risk data and the target wind control data;

adding the user characteristic image information according to the identity security level, the historical risk level and the target wind control level of the user;

the step of comparing the data difference according to the user characteristic portrait information and an epidemic prevention database to obtain safety difference data comprises the following steps:

extracting feature data according to the user feature portrait information to obtain the user epidemic prevention data set;

the user epidemic prevention data set comprises epidemic area activity data, identity risk data, epidemic prevention integrity data and target exposure risk data;

comparing epidemic prevention risk index differences according to the user epidemic prevention data set and an epidemic prevention database to obtain safety difference data of the user;

the discrimination formula of the safety difference data is as follows:

；

wherein,

、

、

、

for setting parameters, F, V, W, H are respectively epidemic area activity data, identity risk data, epidemic prevention integrity data and purpose exposure data,

p is the epidemic prevention risk index and the safety difference data.

6. A computer-readable storage medium, wherein the computer-readable storage medium includes a certificate applying method program based on intelligent epidemic prevention big data identification, and when the certificate applying method program based on intelligent epidemic prevention big data identification is executed by a processor, the steps of the certificate applying method based on intelligent epidemic prevention big data identification as claimed in any one of claims 1 to 4 are implemented.

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