CN111031125A - User data pushing method and system based on travel record - Google Patents

User data pushing method and system based on travel record Download PDF

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CN111031125A
CN111031125A CN201911260700.3A CN201911260700A CN111031125A CN 111031125 A CN111031125 A CN 111031125A CN 201911260700 A CN201911260700 A CN 201911260700A CN 111031125 A CN111031125 A CN 111031125A
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user
score
travel
pushing
record information
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代豪
龙金炎
余胜
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Mifpay Guangxi Network Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/55Push-based network services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal

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Abstract

The invention discloses a user data pushing method and a system based on travel records, wherein the method comprises the following steps: setting a user score rule; collecting user travel record information in a fixed time period; classifying and summarizing the user travel record information in the fixed time period; counting and updating the current scores of the users according to the classified and summarized user travel record information and the user score rule; judging whether the current score of the user is a standard pushing score or not according to the user score rule, and if so, pushing corresponding user data; if not, not carrying out user data pushing; the system comprises: the device comprises a data acquisition module, a classification module, a statistic module, a judgment module and a pushing module; the pushing method and the system provided by the invention are convenient for users to realize rapid identity identification and authentication at the frequently active travel sites, improve the user experience and the traffic efficiency, and reduce the query pressure of the central database.

Description

User data pushing method and system based on travel record
Technical Field
The invention relates to the technical field of information transmission, in particular to a user data pushing method and system based on travel records.
Background
With the convenience brought by the increasing development of urban rail transit, more and more people select a subway-riding trip mode. Nowadays, the quantity of rail transit users in most cities reaches the level of millions or even tens of millions, and the huge user level is a big problem for data information transmission of biological intelligent recognition (such as face recognition, gesture recognition and the like). If the identification system stores the information of all users in a central database, the user information is scanned and processed by the terminal, then the processed user information is transmitted to the central database, the identity of the passenger is identified by comparison of the central database, and then the user identification result is returned from the central database to the terminal. This has the following disadvantages: firstly, a central database needs to maintain a large amount of user data, and the searching efficiency is not high; secondly, when a business peak occurs, the query pressure of the central database is high, and other businesses of the system can be influenced to cause systematic problems; thirdly, the link of the data from the site to the central server and then back to the site is longer, and the farther transmission link means relatively longer data processing delay; and fourthly, the network link failure to the central database can lead to the breakdown of the whole system, thereby causing the serious problem that passengers can not get in or out of the station.
Disclosure of Invention
The invention aims to provide a user data pushing method and system based on travel records, which are used for counting user scores according to user travel record information and pushing the user data with the scores reaching the standards to corresponding sites so as to facilitate users to realize rapid identification and authentication at the frequently active travel sites, thereby improving the user experience and reducing the query pressure of a central database.
In order to realize the technical purpose, the technical scheme is as follows:
a user data pushing method based on travel records comprises the following steps:
setting a user score rule;
collecting user travel record information in a fixed time period;
classifying and summarizing the user travel record information in the fixed time period;
counting and updating the current scores of the users according to the classified and summarized user travel record information and the user score rule;
judging whether the current score of the user is a standard pushing score or not according to the user score rule, and if so, pushing corresponding user data; if not, the user data push is not carried out.
Further, the user travel record information includes: user ID, travel site and date and time.
Further, the user score rule includes:
1) when the first trip record appears at a single site, the system is dynamically configuredThe stationThe initial user score is 5 points, after that, the user score is increased by 1 point every time the travel record is added at the site, and so on, when the user score is increased to 10 points, the user score is kept not to be increased;
2) if the score of the user on a single site is more than 5 points, the score is regarded as the standard-reaching push score;
3) and if the score of the user on the single site is less than or equal to 5 points, the pushing score is considered not to reach the standard.
Further, the fixed time period is a time period within 1 day, and is continuously updated.
Further, the method also comprises the following steps:
if the user does not have newly added travel record information on the site within 15 days, the score of the user on the site is reduced by 1 score; if the user does not have newly-added travel record information on the site within 30 days, the score of the user on the site is deducted by 2 points, and the like.
Further, the method also comprises the following steps:
when the current score of the user after deduction is less than 5 minutes, the system clears the travel record information of the user at the site; if the travel record information of the user reappears at the site in the subsequent statistical time period, the system still dynamically configures the initial score of the user to be 5 points for the first travel record information of the user appearing in the time period, and thereafter, the score of the user is increased by 1 point every time the travel record is increased, and so on until 10 points.
Further, the user data is user face feature data and/or user posture feature data.
The invention also provides a user data pushing system based on the travel record, which comprises the following steps:
the device comprises a data acquisition module, a classification module, a statistic module, a judgment module and a pushing module;
the data acquisition module is used for acquiring user travel record information; the classification module is used for classifying the user travel record information; the statistical module is used for statistically updating the user scores of all sites according to the classified user travel record information and the user score rules; the judging module is used for judging whether the current score of each station user is a standard pushing score, if the current score is the standard pushing score, finding out the data information of the standard score user, marking the station information of the standard score of the user, and sending the user data marked with the station information to the pushing module; the pushing module is used for receiving the user data information sent by the judging module, carrying out encryption packaging on the received user data information, and pushing the packaged user data to the corresponding site server from the back-end central database.
Further, the method also comprises the following steps: and the clearing module is mainly used for clearing the trip record information of the non-standard fraction user after deduction.
Further, the user travel record information includes: user ID, travel site and date and time; the user data is user face feature data and/or user posture feature data.
The invention has the following beneficial effects:
according to the user data pushing method and system based on the trip record, the user score is counted according to the user score rule and the user trip record information, the user data with the score reaching the standard is pushed to the corresponding station, so that the user can conveniently realize rapid identity identification authentication at the frequently active trip station, off-line authentication can be realized when the link between the station system and the central database is interrupted, the dependence on the network is reduced, passengers can pass through the gate and take the bus smoothly in time, the user use experience is improved, the user passing efficiency can be effectively improved, the trip pressure of the subway on and off duty is relieved, the query pressure of the central database is relieved, the problem of comprehensive failure caused by the failure of the central database is avoided to a certain extent, and the network transmission capacity is reduced.
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Fig. 1 is a flowchart of a user data pushing method based on travel records according to this embodiment.
Fig. 2 is a schematic structural diagram of a user data pushing system based on travel records according to this embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention aims to provide a user data pushing method and system based on travel records, which are used for counting user scores according to user travel record information and pushing the user data with the scores reaching the standards to corresponding sites so as to facilitate users to realize rapid identification and authentication at frequently active travel sites, improve user experience and reduce query pressure of a central database. The embodiment takes subway passenger travel records as an example, and the specific technical scheme is as follows:
fig. 1 is a flowchart of a user data pushing method based on travel records according to this embodiment. As shown in fig. 1, the user data pushing method based on travel records of the present invention includes the following steps:
(1) setting a user score rule as follows:
1) when a user has a first travel record at a single site, the system dynamically configures the initial user score to be 5 points, and then increases the user score by 1 point every time the travel record is increased at the site, and so on, and keeps not increasing after the user score is increased to 10 points;
2) if the score of the user on a single site is more than 5 points, the score is regarded as the standard-reaching push score;
3) and if the score of the user on the single site is less than or equal to 5 points, the pushing score is considered not to reach the standard.
Further, the user has travel record information at a single site, and if the user does not have newly added travel record information at the site within 15 days, the score of the user at the site is reduced by 1; if the user does not have newly-added travel record information on the site within 30 days, the score of the user on the site is deducted by 2 points, and the like.
Further, when the current score of the user after deduction is less than 5 minutes, the system clears the travel record information of the user on the site; if the travel record information of the user reappears at the site in the subsequent statistical time period, the system still dynamically configures the initial score of the user to be 5 points for the first travel record information of the user appearing in the time period, and thereafter, the score of the user is increased by 1 point every time the travel record is increased, and so on until 10 points.
(2) And collecting user travel record information in a fixed time period. Specifically, the fixed time period is a time period within 1 day, and is continuously updated. For example, the previous fixed time period is 0: 00-24: 00, the latter fixed period of time then being 0: 00-24: 00, and the next fixed time period is 0 on the third day: 00-24: 00, and so on. Specifically, the user travel record information includes a user ID, a travel site, a date and time, and the like.
Firstly, defining a user travel record information field, and collecting travel record information.
For example, the following table shows some examples of user travel record information collected during the day from 0 o 'clock at 06 month 08 date in 2019 to 24 o' clock at 06 month 08 date in 2019:
Figure 39227DEST_PATH_IMAGE001
(3) and classifying and summarizing the user travel record information in a fixed time period. Specifically, the travel record information of the user is classified and summarized according to the travel sites. For example, the travel record information of the users in the table above is categorized and summarized according to the sunward square site as follows:
Figure 384757DEST_PATH_IMAGE002
(4) and counting and updating the current scores of the users according to the classified and summarized user travel record information and the user score rules. For example, statistically updating the current scores of the users according to the user travel record information and the user score rules classified and summarized towards the sunny square site in the table, assuming that the first record appearing in each user in the table is the first travel record, wherein only 1 record appears in the WFF-092 and the YHN-166, and both the records appear in the WFF-092 and the YHN-166, so that the system dynamically configures the initial scores of the two users to be 5 scores and the ZZL-003 to be 2 records, for the 1 st record (2019-06-0807: 50: 20), the system dynamically configures the initial score to be 5 scores, and then adds one record (2019-06-0818: 22: 20), the score of the user is increased by 1 score, and finally the score of the user is 6 scores, and the date and time of the user is updated to the date of the latest travel record (2019-06-0818: 22: 20), counting the updated scores as the current scores of the users, wherein the current scores of the users are shown in the following table:
Figure 112280DEST_PATH_IMAGE004
(5) judging whether the current score of the user is a standard pushing score or not according to a user score rule, and if so, pushing corresponding user data; if not, the user data push is not carried out. According to the user score rule, when the score of a user on a single site is greater than 5 minutes, the user is regarded as a standard pushing score, and according to the current score of the user in the table, the current score of ZZL-003 of the user is 6 scores, and the user is regarded as a standard pushing score, so that the user data is pushed; the current scores of the user WFF-092 and the user YHN-166 are both 5 points, and the scores are not up to the standard pushing scores, so that the data of the two users are not pushed.
In the above table example, user ZZL-003 has travel record information on the sunny square site and the current score is 6 points, and if the user has no new travel record information on the site in the following 15 days, that is, the user has not traveled on the site in 15 days, which indicates that the activity of the user on the site is reduced, the score of the user on the site is reduced by 1 point, and at this time, the current score of the user is reduced to 5 points; and then, if the user still does not go out at the site within 15 days, the score of the user at the site is continuously deducted by 1, at the moment, the current score of the user is deducted to 4, the system clears the travel record information of the user at the site, and notifies the sunward square site to clear the user data. If the travel record information of the user reappears at the site in the subsequent statistical time period, the system still dynamically configures the initial score of the user to be 5 points for the first travel record information of the user appearing in the time period, and thereafter, the score of the user is increased by 1 point every time the travel record is increased, and so on until 10 points.
In the above example, the user WFF-092 has travel record information on the sunward square site and the current score is 5 points, if the user WFF-092 has no new travel record information on the sunward square site within 15 days thereafter, the score of the user on the site is reduced by 1 point, at this time, the current score of the user is reduced to 4 points, the system clears the travel record information of the user on the site, if the travel record information of the user reappears on the site in the subsequent statistical time period, for the first piece of travel record information of the user appearing in the time period, the system still dynamically configures the initial score of the user to be 5 points, and thereafter, the score of the user is increased by 1 point every time the travel record is increased, and so on until 10 points.
In the above table example, the user YHN-166 has travel record information at the sunward square site and the current score is 5, if the user YHN-166 has newly added travel record information at the sunward square site within any statistical fixed time period within 15 days thereafter, the current score counted by the user is greater than 5, and the user data is pushed if the score reaches the standard pushing score.
Specifically, the user data is user face feature data and/or user posture feature data.
Fig. 2 is a schematic structural diagram of a user data pushing system based on travel records according to this embodiment. The present embodiment of a user data push system based on trip record, includes: the device comprises a data acquisition module, a classification module, a statistic module, a judgment module, a pushing module and a clearing module;
the data acquisition module is used for acquiring daily travel record information of a user, and the travel record information mainly comprises a user ID, a travel site, date and time and the like;
the classification module is used for classifying the collected user travel record information, and specifically, classifying and summarizing the user travel record information according to travel sites;
the statistical module is used for statistically updating the user scores of all sites according to the classified user travel record information and the user score rules;
the judging module is used for judging whether the current score of each station user is a standard pushing score, if the current score is the standard pushing score, finding out the data information of the standard score user, marking the station information (such as a Kongyang square station) of the standard score of the user, and then sending the user data marked with the station information to the pushing module;
the pushing module receives the user data information sent by the judging module, encrypts and encapsulates the received user data information, and then pushes the encapsulated user data from the back-end central database to a corresponding site server (such as a sunward square site server) according to the marked site information.
And the clearing module is mainly used for clearing the trip record information of the non-standard fraction user after deduction. If the user has travel record information at a certain site, but the user does not have newly-added travel record information at the site within 15 days, the score of the user at the site is deducted by 1, and so on, if the current score of the user after deduction is a non-standard score (less than 5), the system clearing module clears the travel record information of the user at the site.
Specifically, the user data is face feature data and/or pose feature data. The pose feature data, especially the combination of the face feature data and the pose feature data, needs longer storage bytes, so that a back-end central database needs to maintain a large amount of user data, and faces a great query pressure during a traffic peak. According to the user data pushing method and system based on the travel record, the user scores are dynamically updated and counted according to the user travel record information, the user with the higher current score at each station is judged to be the more active user, then the characteristic data of the more active user at each station is actively pushed to the corresponding station at the next stage through the rear end central database, and after the corresponding station has the active user characteristic data, the system can rapidly identify and authenticate the identity of the active user at each station without transmitting the identification data to the rear end, so that passengers are helped to realize rapid gate-passing riding. The system identifies and authenticates the user identity through the station characteristic data, the data transmission link is short, the identification response speed is high, and meanwhile, the identity identification and authentication can be realized when the link between the station system and the central database is interrupted, so that the dependence of the identification and authentication process on the network is reduced, the user use experience is improved, the query pressure of the central database is reduced, the problem of comprehensive faults caused by the faults of the central database is avoided to a certain extent, and the network transmission capacity is reduced.
Assuming that a certain user mainly gets on or off duty in a subway-riding trip mode, the user has 2 trip records at a trip site near the user and a trip site near a unit under normal conditions, so that according to the user score rule, the current score can reach 6 scores within a fixed time period of statistics of the 1 st day of the user trip, namely the standard-reaching push score is obtained, and the system pushes the user data. For example, in the business idle time period of day 2, 2:00-5:00 in the morning, the user characteristic data is pushed to a trip site server near the home and near the unit of the user from a rear-end central database, and when the user goes to work on or off the subway on the day 2 of trip, the user can realize rapid identification and authentication of the identity on the site, so that the passing efficiency and the use experience are greatly improved. Therefore, the user data pushing method and system based on the travel record can effectively improve the passing efficiency of users and relieve the pressure of subway on-off peak travel.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A user data pushing method based on travel records is characterized by comprising the following steps:
setting a user score rule;
collecting user travel record information in a fixed time period;
classifying and summarizing the user travel record information in the fixed time period;
counting and updating the current scores of the users according to the classified and summarized user travel record information and the user score rule;
judging whether the current score of the user is a standard pushing score or not according to the user score rule, and if so, pushing corresponding user data; if not, the user data push is not carried out.
2. The user data pushing method based on travel record according to claim 1, wherein the user travel record information includes: user ID, travel site and date and time.
3. The user data pushing method based on travel records according to claim 1, wherein the user score rule comprises:
1) when a user has a first travel record at a single site, the system dynamically configures the initial user score of the site to be 5 points, and then increases the user score by 1 point every time the travel record is added at the site, and so on, and when the user score increases to 10 points, the user score is kept not to increase;
2) if the score of the user on a single site is more than 5 points, the score is regarded as the standard-reaching push score;
3) and if the score of the user on the single site is less than or equal to 5 points, the pushing score is considered not to reach the standard.
4. A user data pushing method based on travel records according to claim 1, characterized in that the fixed time period is a time period within 1 day and is continuously updated.
5. The user data pushing method based on travel records according to claim 3, further comprising:
if the user does not have newly added travel record information on the site within 15 days, the score of the user on the site is reduced by 1 score; if the user does not have newly-added travel record information on the site within 30 days, the score of the user on the site is deducted by 2 points, and the like.
6. The user data pushing method based on travel records according to claim 5, further comprising:
when the current score of the user after deduction is less than 5 minutes, the system clears the travel record information of the user at the site; if the travel record information of the user reappears at the site in the subsequent statistical time period, the system still dynamically configures the initial score of the user to be 5 points for the first travel record information of the user appearing in the time period, and thereafter, the score of the user is increased by 1 point every time the travel record is increased, and so on until 10 points.
7. A user data pushing method based on travel records according to claim 1, wherein the user data is user face feature data and/or user posture feature data.
8. A user data push system based on travel records is characterized by comprising:
the device comprises a data acquisition module, a classification module, a statistic module, a judgment module and a pushing module;
the data acquisition module is used for acquiring user travel record information;
the classification module is used for classifying the user travel record information;
the statistical module is used for statistically updating the user scores of all sites according to the classified user travel record information and the user score rules;
the judging module is used for judging whether the current score of each station user is a standard pushing score, if the current score is the standard pushing score, finding out the data information of the standard score user, marking the station information of the standard score of the user, and sending the user data marked with the station information to the pushing module;
the pushing module is used for receiving the user data information sent by the judging module, carrying out encryption packaging on the received user data information, and pushing the packaged user data to the corresponding site server from the back-end central database.
9. The system for pushing user data based on travel records according to claim 7, further comprising: and the clearing module is mainly used for clearing the trip record information of the non-standard fraction user after deduction.
10. A user data pushing system based on travel records according to claim 7, wherein the user travel record information includes: user ID, travel site and date and time; the user data is user face feature data and/or user posture feature data.
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Application publication date: 20200417