CN113382352B - One-car multi-card user identification method and device and computer equipment - Google Patents
One-car multi-card user identification method and device and computer equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a vehicle multi-card user identification method, a device and computer equipment. According to the technical scheme provided by the embodiment of the invention, cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice is acquired within a preset time period; generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice; if the coincidence rate of at least one position circle point is judged to be larger than the preset first threshold value, the user is identified as the one-car multi-card user, the situation that the position information of the car drifts is avoided through the position circle point mode, the accuracy of data is ensured, and the accuracy rate of identifying the one-car multi-card user is greatly improved.
Description
[ technical field ] A
The invention relates to the technical field of communication, in particular to a vehicle multi-card user identification method, a device and computer equipment.
[ background of the invention ]
With the development of the internet of vehicles, in addition to an existing Telematics BOX (TBOX) in a vehicle of the internet of vehicles, a Display APP (DA) screen of companies such as ali and hectometer also has a built-in internet access unit, and the internet access unit has a built-in TBOX, so that a plurality of vehicle-mounted cards may be in one vehicle, and this situation is called one vehicle with a plurality of cards. Multiple vehicle-mounted cards of a vehicle-mounted multi-card user are arranged on the same vehicle, but cannot be distinguished by workers, so that the user can be disturbed for multiple times when the vehicle-mounted multi-card user is served and maintained, and the user can feel the discomfort. The prior art mainly identifies one-car multi-card users based on position information and user information. The possibility of opening the card for multiple times by the same identity card exists when the user opens an account through a channel, and the situation of position information drift may exist in the using process of the vehicle, so that the problem of inaccurate data source information exists, and the accuracy rate of identifying the user with one vehicle and multiple cards is low.
[ summary of the invention ]
In view of this, embodiments of the present invention provide a method, an apparatus, and a computer device for identifying a multi-card user on a single car, which can ensure accuracy of data, thereby greatly improving accuracy of identifying a multi-card user on a single car.
In one aspect, an embodiment of the present invention provides a one-car multi-card user identification method, where the method includes:
performing position point rounding on a plurality of vehicle-mounted cards of a user according to a preset time period, and acquiring a plurality of cell information corresponding to each vehicle-mounted card and a time point corresponding to each cell information;
acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period;
generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice;
and if the coincidence rate of at least one position circle point is judged to be larger than a preset first threshold value, identifying the user as a one-vehicle multi-card user.
Optionally, the obtaining cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period includes:
performing position point rounding on a plurality of vehicle-mounted cards of a user within a preset time period, and acquiring a plurality of cell information corresponding to each vehicle-mounted card and a time point corresponding to each cell information;
dividing a preset time period according to a preset time granularity to generate a plurality of time slices;
and acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice according to the time point corresponding to each cell information.
Optionally, the cell information includes a base station number of the at least one base station; generating at least one position circle point coincidence rate according to the cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice, and the method comprises the following steps:
multiplying the base station number of the base station in the cell information corresponding to each vehicle-mounted card corresponding to each time slice by a preset weight factor corresponding to each time slice to generate the weight of a plurality of base stations corresponding to each vehicle-mounted card;
adding the weights of a plurality of base stations corresponding to each vehicle-mounted card to generate the position weight of each vehicle-mounted card;
and generating at least one position circle point coincidence rate according to the position weight of each vehicle-mounted card.
Optionally, generating at least one position circle coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice, including:
generating the position weight of each vehicle-mounted card according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice;
sequentially comparing the position weight of any one vehicle-mounted card with the position weights of other vehicle-mounted cards;
and sequentially dividing the smaller position weight of the compared position weights of the two vehicle-mounted cards by the larger position weight to generate at least one position circle coincidence rate.
Optionally, before identifying the user as a car multi-card user, the method further includes:
comparing the pre-generated time period of the flow generated by any one vehicle-mounted card with the time periods of the flow generated by other vehicle-mounted cards in sequence;
dividing a smaller time period in the compared time periods of the two vehicle-mounted cards generating the flow by a larger time period in sequence to calculate at least one time coincidence rate;
judging whether at least one time coincidence rate is larger than a preset second threshold value or not;
and if the at least one time coincidence rate is judged to be less than or equal to the preset second threshold value, identifying the user as a non-one-vehicle multi-card user.
Optionally, each vehicle-mounted card stores user certificate information corresponding to the vehicle-mounted card and a vehicle identification number corresponding to the vehicle-mounted card; further comprising:
if the at least one time coincidence rate is larger than a preset second threshold value, judging whether user certificate information corresponding to each vehicle-mounted card of the user is the same and judging whether vehicle identification numbers corresponding to each vehicle-mounted card of the user are the same;
and if the user certificate information corresponding to each vehicle-mounted card of the user is judged to be the same and the vehicle identification numbers corresponding to each vehicle-mounted card of the user are judged to be the same, identifying the user as a one-vehicle multi-card user.
Optionally, before sequentially comparing the time period during which any one of the car-mounted cards generates the traffic with the time periods during which the other car-mounted cards generates the traffic, the method further includes:
recording a first time point when each vehicle-mounted card starts to generate flow and a second time point when each vehicle-mounted card stops generating flow;
and calculating the time period of the flow generated by each vehicle-mounted card according to the first time point and the second time point.
In another aspect, an embodiment of the present invention provides an in-vehicle multi-card subscriber identity module, including:
the acquiring unit is used for acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period;
the generating unit is used for generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice;
and the first identification unit is used for identifying the user as a one-car multi-card user if the coincidence rate of at least one position circle point is judged to be greater than a preset first threshold value.
In another aspect, an embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, where when the program runs, the apparatus where the storage medium is located is controlled to execute the one-vehicle multi-card user identification method.
In another aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, where the program instructions are loaded into and executed by the processor to implement the one-vehicle-multiple-card user identification method.
In the scheme of the embodiment of the invention, the cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice is obtained within a preset time period; generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice; if the coincidence rate of at least one position circle point is judged to be larger than the preset first threshold value, the user is identified as the one-vehicle multi-card user, the condition that the vehicle has position information drift is avoided through the position circle point mode, the accuracy of data is ensured, and therefore the accuracy rate of identifying the one-vehicle multi-card user is greatly improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a one-vehicle multi-card user identification method according to an embodiment of the present invention;
fig. 2 is a flowchart of another one-vehicle multi-card user identification method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a vehicular multi-card subscriber identity module according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a computer device according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used to describe the set threshold in the embodiments of the present invention, these set thresholds should not be limited to these terms. These terms are used only to distinguish set thresholds from one another. For example, the first set threshold may also be referred to as the second set threshold, and similarly, the second set threshold may also be referred to as the first set threshold, without departing from the scope of embodiments of the present invention.
Fig. 1 is a flowchart of a one-car multi-card user identification method according to an embodiment of the present invention, as shown in fig. 1, the method includes:
And 102, generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice.
And 103, identifying the user as a one-car multi-card user if the coincidence rate of at least one position circle point is judged to be larger than a preset first threshold value.
According to the technical scheme provided by the embodiment of the invention, cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice is acquired within a preset time period; generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice; if the coincidence rate of at least one position circle point is judged to be larger than the preset first threshold value, the user is identified as the one-car multi-card user, the situation that the position information of the car drifts is avoided through the position circle point mode, the accuracy of data is ensured, and the accuracy rate of identifying the one-car multi-card user is greatly improved.
Fig. 2 is a flowchart of another one-car multi-card user identification method according to an embodiment of the present invention, as shown in fig. 2, the method includes:
In this embodiment, each step is executed by a server.
As an alternative embodiment, the preset time period is 6:00 to 10:00 and/or 17:00-20:00.
in this embodiment, the vehicle-mounted card is subjected to position cycle counting according to a preset time period to obtain the position change of the vehicle-mounted card within the preset time period, so as to obtain a plurality of cell information corresponding to the vehicle-mounted card and a time point corresponding to each cell information.
In this embodiment, the cell information includes a base station number of at least one base station, and the vehicle-mounted card is located within a coverage area of the base station.
Furthermore, the longitude and latitude of the base station corresponding to the base station number are obtained, and the cell information is denoised through a Clustering algorithm (DBSCAN) to eliminate points with larger Noise, so that more accurate cell information is obtained.
In this embodiment, as an optional implementation manner, the preset time granularity is 1 hour.
For example, the preset time granularity is 1 hour, and the preset time period is 6:00 to 10:00, then time period 6:00 to 10:00 is divided into: 6:00-7: 00. 7:00-8: 00. 8:00-9:00 and 9:00-10:00 for 4 time slices.
And 203, acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice according to the time point corresponding to each cell information.
In this embodiment, the obtaining of the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice is specifically obtaining the cell information corresponding to the time point falling within the time slice.
Further, the users corresponding to the non-networked vehicle-mounted cards are marked as the users not starting the vehicle, and reference is provided for subsequently adjusting the weight factors corresponding to each time slice.
And 204, multiplying the base station numbers of the base stations in the plurality of cell information corresponding to each vehicle-mounted card corresponding to each time slice by a preset weight factor corresponding to each time slice to generate the weight of the plurality of base stations corresponding to each vehicle-mounted card.
In this embodiment, the base station number of the base station is set according to the ratio of the coverage area of the in-vehicle card covered by the base station in the time slice to the total coverage area. For example, the vehicle-mounted card is covered by 3 base stations in a time slice, the coverage area of the base station 1 covering the vehicle-mounted card accounts for 1/2 of the total coverage area of the vehicle-mounted card, the coverage area of the base station 2 covering the vehicle-mounted card accounts for 1/4 of the total coverage area of the vehicle-mounted card, and the coverage area of the base station 3 covering the vehicle-mounted card accounts for 1/4 of the total coverage area of the vehicle-mounted card, so that the base station number of the base station 1 is set to be 1/2, the base station number of the base station 2 is set to be 1/4, and the base station number of the base station 3 is set to be 1/4.
For example, if the base station numbers of 3 base stations corresponding to the in-vehicle card 1 are 1/2, 1/4 and 1/4, respectively, and the weighting factors corresponding to the time slices are 0.2, the weights of the 3 base stations corresponding to the in-vehicle card 1 are 0.1, 0.05 and 0.05, respectively.
In this embodiment, the weighting factor corresponding to each time slice is set by the staff according to the market business demand, and when the market business demand increases, the staff increases the weighting factors corresponding to the working day, the holiday, the rest time, the entertainment time, the working time and the use duration within the time interval which are mainly counted by the staff. Optionally, the time interval of the main statistics is 1/8/2020 to 2/8/2020.
And step 205, adding the weights of the base stations corresponding to each vehicle-mounted card to generate the position weight of each vehicle-mounted card.
For example, the weights of 3 base stations corresponding to the in-vehicle card 1 are 0.1, 0.05, and 0.05, respectively, and the weights of the 3 base stations are added to generate a position weight of the in-vehicle card 1 of 0.2.
And step 206, comparing the position weight of any vehicle-mounted card with the position weights of other vehicle-mounted cards in sequence.
For example, the position weight of the in-vehicle card 1 is 0.2, the position weight of the in-vehicle card 2 is 0.195, the position weight of the in-vehicle card 3 is 0.3, the position weight 0.2 of the in-vehicle card 1 is compared with the position weight 0.195 of the in-vehicle card 2, and the position weight 0.2 of the in-vehicle card 1 is greater than the position weight 0.195 of the in-vehicle card 2; the position weight 0.2 of the in-vehicle card 1 and the position weight 0.3 of the in-vehicle card 3 are compared, and the position weight 0.2 of the in-vehicle card 1 is smaller than the position weight 0.3 of the in-vehicle card 3.
And step 207, dividing the smaller position weight of the compared position weights of the two vehicle-mounted cards by the larger position weight in sequence to generate at least one position circle point coincidence rate.
For example, when the position weight 0.2 of the in-vehicle card 1 is compared to be greater than the position weight 0.195 of the in-vehicle card 2, and the smaller position weight 0.195 is divided by the larger position weight 0.2, the generated position circle overlap ratio is 97.5%.
In the embodiment, the multiple time factor weighting algorithm is integrated, so that the problem of inaccurate identification caused by identifying the one-car multi-card user only according to the position information of the vehicle-mounted card is solved, and the accuracy rate of identifying the one-car multi-card user is improved.
In this embodiment, if it is determined that the coincidence rate of at least one position circle point is greater than the preset first threshold, it indicates that it is necessary to further determine whether multiple vehicle-mounted cards are in the same vehicle by calculating the time coincidence rate, and step 209 is continuously performed; if the coincidence rate of at least one position circle point is judged to be less than or equal to the preset first threshold value, the plurality of vehicle-mounted cards are in different vehicles, and the step 216 is continuously executed.
As an alternative embodiment, the first threshold is 85%.
For example, if the preset first threshold is 85%, the position circle coincidence rate is 97.5%, and is greater than the first threshold, the process proceeds to step 209.
And step 209, recording a first time point when each vehicle-mounted card starts to generate the flow and a second time point when the flow stops generating.
In the embodiment, when the vehicle-mounted card is monitored to start to generate flow, a first time point is recorded; and recording a second time point when the vehicle-mounted card stops generating the flow is monitored.
For example, the first point in time at which the onboard card 1 starts to generate traffic is 8:10, the second point in time at which the flow stops being generated is 9:10.
and step 210, calculating the time period of the flow generated by each vehicle-mounted card according to the first time point and the second time point.
In this embodiment, the time period during which the vehicle-mounted card generates the traffic is calculated by subtracting the first time point from the second time point.
For example, the first point in time of the onboard card 1 is 8:10, the second time point is 9:10, the time period for the on-board card 1 to generate the traffic is 1 hour.
And step 211, sequentially comparing the time period of the flow generated by any one vehicle-mounted card with the time periods of the flow generated by other vehicle-mounted cards.
For example, the time period for which the in-vehicle card 1 generates traffic is 1 hour, the time period for which the in-vehicle card 2 generates traffic is 1 hour and 1 minute, and the time period for which the in-vehicle card 3 generates traffic is 50 minutes. Comparing the time period 1 hour of the traffic generated by the vehicle-mounted card 1 with the time period 1 hour and 1 minute of the traffic generated by the vehicle-mounted card 2, wherein the time period of the traffic generated by the vehicle-mounted card 1 is less than the time period of the traffic generated by the vehicle-mounted card 2; comparing the time period 1 hour for which the on-board card 1 generates the flow with the time period 50 minutes for which the on-board card 3 generates the flow, the time period for which the on-board card 1 generates the flow is longer than the time period for which the on-board card 3 generates the flow.
And step 212, dividing a smaller time period of the compared time periods of the two vehicle-mounted cards generating the flow by a larger time period in sequence, and calculating at least one time coincidence rate.
For example, the time zone 1 hour during which the vehicle-mounted card 1 generates a flow rate is compared with the time zone 1 hour 1 minute during which the vehicle-mounted card 2 generates a flow rate, and the time coincidence is calculated as 98% by dividing the smaller time zone 1 hour by the larger time zone 1 hour 1 minute.
In this embodiment, if it is determined that at least one time coincidence rate is greater than the preset second threshold, it indicates that it is necessary to further determine whether multiple vehicle-mounted cards are in the same vehicle through the user certificate information corresponding to the vehicle-mounted cards and the vehicle identification numbers corresponding to the vehicle-mounted cards, and then step 214 is continuously performed; if at least one time coincidence rate is judged to be less than or equal to the preset second threshold value, the plurality of vehicle-mounted cards are positioned in different vehicles, and the step 216 is continuously executed.
As an alternative embodiment, the second threshold is 90%.
For example, the preset second threshold is 90%, the time coincidence rate is 98%, and the execution is continued to step 214.
In the embodiment, the one-car multi-card user is identified by combining the auxiliary means of the flow service time, so that the accuracy rate of identifying the one-car multi-card user is improved, and the reliability of the identification result is enhanced.
In this embodiment, if it is determined that the user certificate information corresponding to each vehicle-mounted card of the user is the same and it is determined that the vehicle identification numbers corresponding to each vehicle-mounted card of the user are the same, indicating that a plurality of vehicle-mounted cards are in the same vehicle, the step 215 is continuously performed; if the user certificate information corresponding to each vehicle-mounted card of the user is judged to be different or the vehicle identification number corresponding to each vehicle-mounted card of the user is judged to be different, the plurality of vehicle-mounted cards are positioned in different vehicles, and the step 216 is continuously executed.
In this embodiment, the user certificate information corresponding to the vehicle-mounted card and the vehicle identification number corresponding to the vehicle-mounted card are stored in the vehicle-mounted card.
In this embodiment, the user certificate information includes an identification number, a passport number, a military officer license number, or a police officer license number. The user certificate is defined as a user certificate that meets the requirements of national certificate rules.
In the embodiment, the one-car multi-card user is identified by combining the auxiliary means of the user certificate information and the vehicle identification number, so that the accuracy rate of identifying the one-car multi-card user is improved, and the reliability of the identification result is enhanced.
In this embodiment, a single-car multi-card user is a user in which a plurality of car-mounted cards are inserted in a car. The user may register a plurality of vehicle-mounted cards, one vehicle-mounted card or a plurality of vehicle-mounted cards can be inserted into the vehicle each time the user uses the vehicle, and when the user inserts one vehicle-mounted card into the vehicle, the user is a non-vehicle multi-card user; when a user inserts a plurality of vehicle-mounted cards into a vehicle, the user is a one-vehicle multi-card user.
In the embodiment, the one-car multi-card user is identified by combining three auxiliary means of user certificate information, a car identification number and flow service time, so that the accuracy of identifying the one-car multi-card user is further improved, and the reliability of an identification result is enhanced.
And step 216, identifying the user as a non-one-vehicle multi-card user, and ending the process.
In this embodiment, the non-vehicle multi-card user is a user who inserts only one vehicle-mounted card into the vehicle.
In the embodiment, the one-car multi-card user is identified by combining three auxiliary means of user certificate information, a car identification number and flow service time, so that the accuracy of identifying the one-car multi-card user is further improved, and the reliability of an identification result is enhanced.
In the technical scheme of the one-vehicle multi-card user identification method provided by the embodiment of the invention, cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice is obtained within a preset time period; generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice; if the coincidence rate of at least one position circle point is judged to be larger than a preset first threshold value, the user is identified as a one-vehicle multi-card user, the situation that the vehicle has position information drift is avoided in a position circle point mode, and the accuracy of data is ensured; the method and the device have the advantages that the one-car multi-card user is identified by combining three auxiliary means of user certificate information, a car identification number and flow service time, accuracy of identifying the one-car multi-card user is further improved, and reliability of an identification result is enhanced.
Fig. 3 is a schematic structural diagram of a one-car multi-card subscriber identification device according to an embodiment of the present invention, the device is configured to execute the one-car multi-card subscriber identification method, and as shown in fig. 3, the device includes: an acquisition unit 11, a generation unit 12 and a first identification unit 13.
The obtaining unit 11 is configured to obtain cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period.
The generating unit 12 is configured to generate at least one position circle coincidence rate according to the cell information corresponding to the multiple vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice.
The first identification unit 13 is configured to identify the user as a one-car multi-card user if it is determined that the coincidence rate of at least one position turn point is greater than a preset first threshold. In the embodiment of the present invention, the obtaining unit 11 is specifically configured to perform position circle pointing on a plurality of vehicle-mounted cards of a user within a preset time period, and obtain a plurality of cell information corresponding to each vehicle-mounted card and a time point corresponding to each cell information; dividing a preset time period according to a preset time granularity to generate a plurality of time slices; and acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice according to the time point corresponding to each cell information.
In this embodiment of the present invention, the generating unit 12 is specifically configured to multiply a base station number of a base station in multiple cell information corresponding to each vehicle-mounted card corresponding to each time slice by a preset weight factor corresponding to each time slice, and generate weights of multiple base stations corresponding to each vehicle-mounted card; and generating at least one position circle point coincidence rate according to the position weight of each vehicle-mounted card.
In this embodiment of the present invention, the generating unit 12 is further specifically configured to generate a position weight of each vehicle-mounted card according to the cell information corresponding to the multiple vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice; adding the weights of a plurality of base stations corresponding to each vehicle-mounted card to generate the position weight of each vehicle-mounted card; sequentially comparing the position weight of any one vehicle-mounted card with the position weights of other vehicle-mounted cards; and sequentially dividing the smaller position weight of the compared position weights of the two vehicle-mounted cards by the larger position weight to generate at least one position circle coincidence rate.
In the embodiment of the present invention, the apparatus further includes a comparing unit 14, a first calculating unit 15, a first judging unit 16, and a second identifying unit 17.
The comparison unit 14 is used for sequentially comparing the time period of the flow generated by any one vehicle-mounted card with the time periods of the flow generated by other vehicle-mounted cards, wherein the time periods are generated in advance.
The first calculating unit 15 is configured to calculate at least one time coincidence rate by sequentially dividing a smaller time period of the compared time periods in which the two onboard cards generate the flow rates by a larger time period.
The first determining unit 16 is configured to determine whether at least one time coincidence rate is greater than a preset second threshold.
The second identifying unit 17 is configured to identify the user as a non-one-vehicle multi-card user if the first determining unit 16 determines that the at least one time coincidence rate is less than or equal to a preset second threshold.
In the embodiment of the present invention, the apparatus further includes: a second judgment unit 18.
The second determination unit 18 is configured to, if the first determination unit 16 determines that at least one time coincidence rate is greater than a preset second threshold, determine whether user certificate information corresponding to each vehicle-mounted card of the user is the same and determine whether vehicle identification numbers corresponding to each vehicle-mounted card of the user are the same.
The first identification unit 13 is further configured to identify the user as a one-car multi-card user if the second determination unit 18 determines that the user certificate information corresponding to each car-mounted card of the user is the same and that the vehicle identification numbers corresponding to each car-mounted card of the user are the same.
In the embodiment of the present invention, the apparatus further includes a recording unit 19 and a second calculating unit 20.
The recording unit 19 is used for recording a first time point when each vehicle-mounted card starts to generate flow and a second time point when the flow stops being generated.
The second calculating unit 20 is configured to calculate a time period for which each of the onboard cards generates the flow rate, based on the first time point and the second time point.
In the scheme of the embodiment of the invention, cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice is acquired within a preset time period; generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice; if the coincidence rate of at least one position circle point is judged to be larger than the preset first threshold value, the user is identified as the one-vehicle multi-card user, the condition that the vehicle has position information drift is avoided through the position circle point mode, the accuracy of data is ensured, and therefore the accuracy rate of identifying the one-vehicle multi-card user is greatly improved.
The embodiment of the invention provides a storage medium, which comprises a stored program, wherein when the program runs, the device where the storage medium is located is controlled to execute each step of the embodiment of the one-vehicle multi-card user identification method, and specific description can refer to the embodiment of the one-vehicle multi-card user identification method.
An embodiment of the present invention provides a computer device, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, and the program instructions are loaded and executed by the processor to implement the steps of the one-vehicle multi-card user identification method.
Fig. 4 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 4, the computer device 30 of this embodiment includes: a processor 31, a memory 32, and a computer program 33 stored in the memory 32 and capable of running on the processor 31, wherein the computer program 33 is implemented by the processor 31 to implement the data processing method applied in the embodiment, and therefore, for avoiding repetition, detailed descriptions thereof are omitted here. Alternatively, the computer program is executed by the processor 31 to implement the functions of the models/units applied to the one-car multi-card subscriber identity module in the embodiment, which are not repeated herein to avoid repetition.
The computer device 30 includes, but is not limited to, a processor 31, a memory 32. Those skilled in the art will appreciate that fig. 4 is merely an example of a computer device 30 and is not intended to limit the computer device 30 and that it may include more or fewer components than shown, or some components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The processor 31 may be a Central Processing Unit (CPU), other general purpose processor, a Digital signal processor (DP), an Application specific Integrated Circuit (AIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 32 may be an internal storage unit of the computer device 30, such as a hard disk or a memory of the computer device 30. The memory 32 may also be an external storage device of the computer device 30, such as a plug-in hard disk provided on the computer device 30, a smart Memory Card (MC), a secure Digital (D) Card, a flash Card (Flah Card), and the like. Further, the memory 32 may also include both internal and external storage units of the computer device 30. The memory 32 is used for storing computer programs and other programs and data required by the computer device. The memory 32 may also be used to temporarily store data that has been output or is to be output.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be 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, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A one-car multi-card user identification method, the method comprising:
acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period;
generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice;
if the coincidence rate of the at least one position circle point is judged to be larger than a preset first threshold value, the user is identified as a one-car multi-card user;
generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice, wherein the generating comprises the following steps:
multiplying the base station number of the base station in the cell information corresponding to each vehicle-mounted card corresponding to each time slice by a preset weight factor corresponding to each time slice to generate the weight of a plurality of base stations corresponding to each vehicle-mounted card;
adding the weights of a plurality of base stations corresponding to each vehicle-mounted card to generate the position weight of each vehicle-mounted card;
sequentially comparing the position weight of any one vehicle-mounted card with the position weights of other vehicle-mounted cards;
and sequentially dividing the smaller position weight of the compared position weights of the two vehicle-mounted cards by the larger position weight to generate at least one position circle coincidence rate.
2. The one-vehicle multi-card user identification method according to claim 1, wherein the obtaining cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period comprises:
performing position circle point on a plurality of vehicle-mounted cards of a user within a preset time period, and acquiring a plurality of cell information corresponding to each vehicle-mounted card and a time point corresponding to each cell information;
dividing the preset time period according to the preset time granularity to generate a plurality of time slices;
and acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice according to the time point corresponding to each cell information.
3. The vehicle multi-card user identification method according to claim 1 or 2, further comprising, before identifying the user as a vehicle multi-card user:
comparing the pre-generated time period of the flow generated by any one vehicle-mounted card with the time periods of the flow generated by other vehicle-mounted cards in sequence;
dividing a smaller time period in the compared time periods of the two vehicle-mounted cards generating the flow by a larger time period in sequence to calculate at least one time coincidence rate;
judging whether the at least one time coincidence rate is greater than a preset second threshold value or not;
and if the at least one time coincidence rate is judged to be less than or equal to a preset second threshold value, identifying the user as a non-one-vehicle multi-card user.
4. The vehicle multi-card user identification method according to claim 3, wherein each vehicle card stores user certificate information corresponding to the vehicle card and a vehicle identification number corresponding to the vehicle card; the method further comprises the following steps:
if the at least one time coincidence rate is larger than a preset second threshold value, judging whether user certificate information corresponding to each vehicle-mounted card of the user is the same and judging whether vehicle identification numbers corresponding to each vehicle-mounted card of the user are the same;
and if the user certificate information corresponding to each vehicle-mounted card of the user is judged to be the same and the vehicle identification numbers corresponding to each vehicle-mounted card of the user are judged to be the same, identifying the user as a one-vehicle multi-card user.
5. The vehicle multi-card subscriber identification method according to claim 3, before sequentially comparing the time period of the traffic generated by any one of the pre-generated vehicle cards with the time periods of the traffic generated by the other vehicle cards, further comprising:
recording a first time point when each vehicle-mounted card starts to generate flow and a second time point when each vehicle-mounted card stops generating flow;
and calculating the time period of the flow generated by each vehicle-mounted card according to the first time point and the second time point.
6. An in-vehicle multi-card subscriber identification device, the device comprising:
the acquiring unit is used for acquiring cell information corresponding to a plurality of vehicle-mounted cards corresponding to each time slice in a preset time period;
the generating unit is used for generating at least one position circle point coincidence rate according to the cell information corresponding to the plurality of vehicle-mounted cards corresponding to each time slice and a preset weight factor corresponding to each time slice;
the first identification unit is used for identifying the user as a one-car multi-card user if the coincidence rate of the at least one position circle point is judged to be larger than a preset first threshold value;
the generating unit is specifically configured to multiply a base station number of a base station in the multiple cell information corresponding to each time slice and corresponding to each vehicle-mounted card by a preset weight factor corresponding to each time slice, and generate weights of multiple base stations corresponding to each vehicle-mounted card; adding the weights of a plurality of base stations corresponding to each vehicle-mounted card to generate the position weight of each vehicle-mounted card; sequentially comparing the position weight of any one vehicle-mounted card with the position weights of other vehicle-mounted cards; and sequentially dividing the smaller position weight of the compared position weights of the two vehicle-mounted cards by the larger position weight to generate at least one position circle point coincidence rate.
7. A storage medium, comprising a stored program, wherein the program, when executed, controls a device on which the storage medium is located to perform the vehicle multi-card subscriber identity method according to any one of claims 1 to 5.
8. A computer device comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, wherein the program instructions are loaded into and executed by the processor to implement the vehicle multi-card subscriber identity method of any of claims 1 to 5.
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| CN101656952B (en) * | 2009-08-27 | 2012-09-05 | 中国联合网络通信集团有限公司 | Method for realizing one number for a plurality of cards and system thereof |
| CN103841550B (en) * | 2012-11-21 | 2017-05-03 | 中国移动通信集团吉林有限公司 | Method and device for identifying multi-card user |
| CN105682189A (en) * | 2014-11-20 | 2016-06-15 | 中兴通讯股份有限公司 | Calling implementation method and device for multi-card multi-standby mobile terminal |
| EP3531751B1 (en) * | 2016-11-07 | 2021-03-17 | Huawei Technologies Co., Ltd. | Method and device for switching on-vehicle service using external sim card |
| CN110718070A (en) * | 2019-10-14 | 2020-01-21 | 深圳前海中电慧安科技有限公司 | Accompanying vehicle identification method, device, equipment and storage medium |
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