CN115499499A - Management information pushing method, server and storage medium - Google Patents

Management information pushing method, server and storage medium Download PDF

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Publication number
CN115499499A
CN115499499A CN202110682729.1A CN202110682729A CN115499499A CN 115499499 A CN115499499 A CN 115499499A CN 202110682729 A CN202110682729 A CN 202110682729A CN 115499499 A CN115499499 A CN 115499499A
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mobile phone
phone number
license plate
target
determining
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王晓亮
秦杰
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9035Filtering based on additional data, e.g. user or group profiles

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Abstract

The invention discloses a management information pushing method, a server and a computer readable storage medium. The method comprises the following steps: determining road section information related to management data to be pushed, and determining a target license plate corresponding to the road section information; determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained man-car matching database; and determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number. The invention aims to achieve the effect of improving the universality of the management message pushing method.

Description

Management information pushing method, server and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a management information push method, a server, and a computer-readable storage medium.
Background
In the process of traffic management, a traffic manager is required to establish information connection with an actual driver of a vehicle in many scenes. For example, a notification of an emergency such as a congested road section, construction/accident, etc., a driving away of an expressway violation, a fatigue driving reminder and intervention, etc.
In the related art, in order to determine the driver of the corresponding vehicle, a face image of the driver needs to be sent through a camera device, and face recognition is performed based on the face image to determine the identity information of the driver. And after the identity information of the driver is determined, inquiring the telephone number associated with the identity information, and establishing an information link according to the reserved telephone number of the owner. However, in real life, it is difficult to acquire the face information of the driver in a rural area. Thus, the above scheme has great implementation regional limitation.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The present invention provides a method, a server and a computer readable storage medium for pushing management information, which aims to achieve the effect of improving the universality of the method for pushing management information.
In order to achieve the above object, the present invention provides a method for pushing management information, where the method for pushing management information includes the following steps:
determining road section information related to management data to be pushed, and determining a target license plate corresponding to the road section information;
determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained person-vehicle matching database;
and determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number.
Optionally, before the step of determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained person-vehicle matching database, the method further includes:
receiving license plate detection data of a high-speed gate, and acquiring base station access data of the position of the high-speed gate;
determining the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate detection data and the base station access data;
and training the man-vehicle matching database according to the incidence relation and the probability information.
Optionally, the step of determining the association relationship between the target license plate and the mobile phone number according to the license plate detection data and the base station access data, and the probability information associated with the mobile phone number includes:
determining a license plate vector corresponding to the target license plate according to the license plate detection data;
determining a communication vector corresponding to each mobile phone number according to the base station access data;
and determining the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate vector and the communication vector.
Optionally, the step of determining the association relationship between the target license plate and the mobile phone number according to the license plate vector and the communication vector, and the probability information associated with the mobile phone number includes:
determining a coupling degree between the license plate vector and the communication vector;
and when the coupling degree is greater than a preset threshold value, taking the mobile phone number corresponding to the communication vector as the mobile phone number associated with the target license plate, and determining the probability information according to the coupling degree.
Optionally, the license plate detection data includes a time when the target license plate is detected at the high-speed gate, and position information of the high-speed gate.
Optionally, after the step of determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number, the method further includes:
receiving feedback information sent by the target mobile phone number;
and determining whether the management information is successfully pushed according to the feedback information.
Optionally, the step of determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number includes:
acquiring the current position corresponding to each mobile phone number and the probability information corresponding to each mobile phone number;
taking the mobile phone number of the current position at the position corresponding to the road section information as a mobile phone number to be selected;
and selecting the target mobile phone number from the mobile phone numbers to be selected according to the probability information, and pushing the management data to the target mobile phone number.
In addition, in order to achieve the above object, the present invention further provides a server, where the server includes a memory, a processor, and a management information push program stored in the memory and executable on the processor, and the management information push program implements the steps of the management information push method as described above when executed by the processor.
In addition, to achieve the above object, the present invention also provides a server, including:
the determining module is used for determining road section information related to the management data to be pushed and determining license plate information corresponding to the road section information;
the inquiry module is used for determining at least one mobile phone number associated with the license plate information and probability information associated with each mobile phone number based on a pre-trained person-vehicle matching database;
and the pushing module is used for determining a target mobile phone number according to the current position corresponding to the mobile phone number and the probability information and pushing the management data to the target mobile phone number.
Furthermore, to achieve the above object, the present invention further provides a computer-readable storage medium, on which a push program of management information is stored, which when executed by a processor implements the steps of the push method of management information as described above.
The method for pushing the management information, the server and the computer-readable storage medium provided by the embodiment of the invention firstly determine the road section information associated with the management data to be pushed, determine the target license plate corresponding to the road section information, then determine at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained man-vehicle matching database, determine the target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and push the management data to the target mobile phone number. When the target mobile phone number is determined, face recognition is not needed for the user, and therefore the effect of pushing the management message accurately corresponding to the driver can be achieved in the area without the face recognition device. Therefore, the effect of improving the universality of the management message pushing scheme is achieved.
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Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for pushing management information according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for pushing management information according to another embodiment of the present invention;
fig. 4 is a schematic block diagram of a server according to an embodiment of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a server.
As shown in fig. 1, the terminal may include: a processor 1001, e.g. a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include an operating system, a network communication module, a user interface module, and a push program of management information therein.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting other servers and performing data communication with the other servers; the processor 1001 may be configured to invoke a push program of management information stored in the memory 1005 and perform the following operations:
determining road section information related to management data to be pushed, and determining a target license plate corresponding to the road section information;
determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained person-vehicle matching database;
and determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number.
Further, the processor 1001 may call a push program of management information stored in the memory 1005, and further perform the following operations:
receiving license plate detection data of a high-speed gate, and acquiring base station access data of the position of the high-speed gate;
determining the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate detection data and the base station access data;
and training the man-vehicle matching database according to the incidence relation and the probability information.
Further, the processor 1001 may call a push program of the management information stored in the memory 1005, and also perform the following operations:
determining a license plate vector corresponding to the target license plate according to the license plate detection data;
determining a communication vector corresponding to each mobile phone number according to the base station access data;
and determining the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate vector and the communication vector.
Further, the processor 1001 may call a push program of management information stored in the memory 1005, and further perform the following operations:
determining a coupling degree between the license plate vector and the communication vector;
and when the coupling degree is greater than a preset threshold value, taking the mobile phone number corresponding to the communication vector as the mobile phone number associated with the target license plate, and determining the probability information according to the coupling degree.
Further, the processor 1001 may call a push program of management information stored in the memory 1005, and further perform the following operations:
receiving feedback information sent by the target mobile phone number;
and determining whether the management information is successfully pushed according to the feedback information.
Further, the processor 1001 may call a push program of management information stored in the memory 1005, and further perform the following operations:
acquiring the current position corresponding to each mobile phone number and the probability information corresponding to each mobile phone number;
taking the mobile phone number of the current position at the position corresponding to the road section information as a mobile phone number to be selected;
and selecting the target mobile phone number from the mobile phone numbers to be selected according to the probability information, and pushing the management data to the target mobile phone number.
In the process of traffic management, a traffic manager is required to establish information connection with an actual driver of a vehicle in many scenes. For example, congested road segment reminding, emergency notification of construction/accidents and the like, driving away of expressway violation, fatigue driving reminding and intervention and the like.
In the related art, in order to determine the driver of the corresponding vehicle, a face image of the driver needs to be sent through a camera device, and face recognition is performed based on the face image to determine the identity information of the driver. And after the identity information of the driver is determined, inquiring the telephone number associated with the identity information, and establishing an information link according to the reserved telephone number of the owner. However, in real life, it is difficult to acquire the face information of the driver in the rural area. Thus, the above scheme has great implementation geographical limitation.
In order to solve the above-mentioned defects in the related art, an embodiment of the present invention provides a method for pushing management information, which aims to realize highway driver identification based on mobile phone signaling and checkpoint license plate recording, so that when a link information connection with a driver is required, i.e., management data needs to be pushed to the driver, the driving data can be accurately pushed to the driver. Moreover, the management data pushing scheme is not influenced by objective factors such as whether the space position where the driver is located currently has an identification device or not, and the management data can be pushed in multiple scenes and multiple regions, so that the universality of management data pushing is improved.
Referring to fig. 2, in an embodiment of the method for pushing management information according to the present invention, the method for pushing management information includes the following steps:
s10, determining road section information related to management data to be pushed, and determining a target license plate corresponding to the road section information;
s20, determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained person-vehicle matching database;
and S30, determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number.
In the present embodiment, the push method of the management information may be performed by a network operator server or a general server provided with a communication interface for communicating with the network operator server.
The server may first determine the road section information associated with the management data to be pushed. The management data can be determined by a traffic management department or other units or departments with authority. The server is provided with a user interface so that a user can send the management data to the server through the user interface.
When the management data is received, link information associated with the management data may be determined. For example, when the management data is a congestion reminder for the A1-A2 road segment, the road segment information associated with the management data is the A1-A2 road segment. And after the road section information is determined, a target license plate corresponding to the road section information can be determined. It is understood that the link information is information included in the received management data, that is, information of a link corresponding to the management information.
For example, after the road segment information is determined, a target license plate corresponding to the road segment information may be determined. For example, after determining the section information, a traffic management database may be accessed, wherein the traffic management database may determine license plates of vehicles on a section corresponding to the section information based on a camera device provided at a highway entrance and a highway section. Therefore, after the road section information is determined, the traffic management database can be directly accessed to acquire the license plate of the vehicle in the road section corresponding to the road section information at present, and the license plate is used as the target license plate. Or, a server or a terminal outside the execution subject may directly send the target license plate to the server, so that the server may directly determine license plate information corresponding to the road section information.
The target license plate is a license plate of a vehicle in a link corresponding to the link information. It is understood that the target license plate may be a license plate number, such as yue B48 × K, or an identification mark generated by encrypting or otherwise processing the license plate number. The license plate number is used for distinguishing different vehicles.
After the target license plate is determined, at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number are determined based on a pre-trained person-vehicle matching database.
It is understood that the target license plate may be one or more. I.e. there may be one target license plate or a plurality of target license plates. Therefore, when at least one mobile phone number associated with the target license plate is determined, at least one mobile phone number associated with each target license plate can be acquired. And storing the incidence relation between the target license plate and the mobile phone number in a pre-trained man-vehicle matching database. In addition, the man-vehicle matching database also stores probability information of correspondence between the target license plate and each associated mobile phone number.
Illustratively, the target license plate includes a license plate number a, a license plate number B, and a license plate number C. After the license plate number A, the license plate number B and the license plate number C are obtained, at least one mobile phone number associated with the license plate number A and probability information of corresponding relations between the license plate number A and the associated mobile phone numbers can be obtained. Similarly, for the license plate number B and the license plate number C, at least one mobile phone number associated with each license plate number B and probability information corresponding to each mobile phone number can be acquired respectively.
It should be noted that the probability information refers to a probability that the user corresponding to the mobile phone number is the driver of the vehicle corresponding to the target license plate. In the following, in this example, the license plate number a is taken as an example to explain. When there are a plurality of license plate numbers, processing is performed based on the same manner.
After at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number are determined based on a pre-trained person-vehicle matching database, the target mobile phone number can be determined according to the current position corresponding to the mobile phone number and the probability information, and the management data is pushed to the target mobile phone number.
For example, the current position corresponding to each mobile phone number and the probability information corresponding to each mobile phone number may be obtained, and then the mobile phone number of which the current position is at the position corresponding to the road segment information is used as a mobile phone number to be selected. And the position corresponding to the road section information is the space position of the road section corresponding to the road section information. In some schemes, in order to avoid erroneous determination caused by detection errors, all spaces within a preset distance near a road segment may be determined as the position corresponding to the road segment. And selecting the target mobile phone number from the mobile phone numbers to be selected according to the probability information, and pushing the management data to the target mobile phone number.
For example, the mobile phone number 1, the mobile phone number 2, and the mobile phone number 3 associated with the license plate number a may be obtained first, and the probability information P1 associated with the mobile phone number 1, the probability information P2 associated with the mobile phone number 2, and the probability information P3 associated with the mobile phone number 3 may be obtained. And then the current positions of the mobile phone number 1, the mobile phone number 2 and the mobile phone number 3 can be determined. And then the mobile phone number of the current position at the position corresponding to the road section information is used as a mobile phone number to be selected. For example, when the mobile phone number 1 and the mobile phone number 3 are located at the positions corresponding to the road segment information, the mobile phone number 1 and the mobile phone number 3 are used as the mobile phone numbers to be selected. Then, the mobile phone number with the maximum probability information in the mobile phone numbers to be selected can be used as the target mobile phone number. For example, if P3 is greater than P1 in the cell phone number 1 and the cell phone number 3, the cell phone number 3 is taken as the target cell phone number.
After the target mobile phone number is determined, the management data can be pushed to the target mobile phone number.
For example, after receiving the management data, the message to be pushed may be generated based on the management data and a preset pushing template. And after the target mobile phone number is determined, the message to be pushed can be pushed to the target mobile phone number. For example, when the management data corresponding to the congestion notification is received, the congestion start position and the congestion end position may be determined according to the management data. And then generating a congestion reminding short message based on a preset congestion reminding short message template and the congestion starting position and the congestion ending position. And then sending the congestion reminding short message to the target mobile phone number.
Optionally, in some embodiments, after receiving the push information, the terminal corresponding to the target mobile phone number sends feedback information to the server. And enabling the server to receive feedback information sent by the target mobile phone number, and then determining whether the management information is successfully pushed according to the feedback information.
In this embodiment, road section information associated with management data to be pushed is determined, a target license plate corresponding to the road section information is determined, then at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number are determined based on a pre-trained person-vehicle matching database, a target mobile phone number corresponding to the target license plate is determined according to a current position corresponding to the mobile phone number and the probability information, and the management data is pushed to the target mobile phone number. When the target mobile phone number is determined, face recognition is not needed for the user, and therefore the effect of pushing the management message accurately corresponding to the driver can be achieved in the area without the face recognition device. Therefore, the effect of improving the universality of the management message pushing scheme is achieved.
Optionally, referring to fig. 3, based on the foregoing embodiment, in another embodiment, before the step S20, the method further includes:
s40, receiving license plate detection data of a high-speed gate, and acquiring base station access data of the position of the high-speed gate;
step S50, determining the association relation between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate detection data and the base station access data;
and S60, training the man-vehicle matching database according to the incidence relation and the probability information.
In this embodiment, a detection device may be provided at a high-speed gate (e.g., a toll booth, etc.), and the detection device is used to detect a license plate of a vehicle passing through the high-speed gate. When the detection device of the high-speed gate detects the license plate, the license plate detection data can be sent to the server. Of course, in some embodiments, the license plate detection data of the high-speed gate stored in other databases may also be directly obtained.
It should be noted that the license plate detection data includes position information and/or a recognition identifier of a high-speed gate that detects the target license plate, and a time when the high-speed gate detects the target license plate.
Further, after the license plate detection data is obtained, base station access data at the position of the high-speed gate can be obtained. And determining that the mobile phone number of the base station corresponding to the position of the high-speed gate is accessed in the time slice when the high-speed gate detects the target license plate.
After license plate detection data and base station access data are obtained, the incidence relation between the target license plate and the mobile phone number and the probability information related to the mobile phone number can be determined according to the license plate detection data and the base station access data, and then the man-car matching database is trained according to the incidence relation and the probability information.
As an implementation scheme, a license plate vector corresponding to the target license plate can be determined according to the license plate detection data, then a communication vector corresponding to each mobile phone number can be determined according to the base station access data, and the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number can be determined according to the license plate vector and the communication vector.
It should be noted that, in a specific implementation scheme, a coupling degree between the license plate vector and the communication vector may be determined first, and when the coupling degree is greater than a preset threshold, a mobile phone number corresponding to the communication vector is used as a mobile phone number associated with the target license plate, and the probability information is determined according to the coupling degree.
For example, a mapping relationship table between the high-speed card and the co-channel communication cell may be constructed first, so that after the high-speed card is determined, the corresponding communication cell may be determined directly based on the mapping relationship table. Thereby acquiring access data (i.e. the above-mentioned base station access data) corresponding to the corresponding communication cell. For example, when the high-speed gate M detects that the license plate yue B48 × K is detected at 10 o' clock 38 at 5/30/2021. If the server receives the license plate detection data, the server can determine the communication cell corresponding to the high-speed bayonet M according to the mapping relation table, and then obtain the access data of the communication cell corresponding to the high-speed bayonet M. As the above base station access data.
Further, the space-time coupling coefficient of the mobile phone number and the target license plate detected by the high-speed gate on a single day can be calculated time slice by time slice basis. The time slices are time slices divided by self definition. For example, the time slices may be divided into 10s,60s,300s, or 600s.
Based on operator daily data analysis, it can be determined that the handset signaling generation has a non-periodicity, so the set time slice cannot be too small. When the time slice is too small, the mobile phone signaling is easy to detect, namely, the access information corresponding to the mobile phone number does not exist. Therefore, the size of the time slice can be set based on the mobile phone signaling generation period. Referring to table one, table one is a time period-with-signaling probability table.
Table one:
time period 10s 60s 300s 600s
With signalling probability 10.40% 27.00% 50.50% 62.70%
As an alternative, referring to table one, for the implementation effect of the replacement, the time slice may be set to 10min (600 s), because the generation probability of the current handset signaling in 10min time slice is 62.7%).
Further, when the time slice is divided into 10min, the single-day accumulation is divided into 144 time slices. Assuming that m high-speed checkpoints exist in the analysis area and the license plate Ci is in the time slice TSj, then:
and (3) license plate vector matrix: the vectors recorded by the highway gate are marked as: CK (CK) ij =[0,0,0,0, 1…CK ijm ]Wherein 1 indicates that the license plate Ci is recorded by the high-speed checkpoint at the corresponding position; it is a vector of 1*m; then the record for the entire day is identified as CK i =[CK 1 ,CK 2 ,…CK 144 ] T It is a matrix of 144 × m; the number of non-zero elements is recorded as CK _Ci The number of times that the target license plate is recorded by the card port on the current day is shown.
A communication vector matrix: mobile phone M k Within time slice TSjAnd the vector records of the communication cells residing near the high-speed gate are marked as follows: SL (Long-side) kj =[1,0,0,0,0,0…SL kjm ] T A vector of m x 1; its resident communication cell record on the day is denoted as SL k =[SK 1 ,SL 2 ,…,SL 144 ]Which is a matrix of m x 144.
Further, the coupling coefficient is expressed as: COM (component object model) ik =CK i *SL k It is a matrix of 144 x 144, and the sum of diagonal elements is taken as CO ik (ii) a The business meaning is the coupling times of the target license plate Ci and the mobile phone number Mk on space and time. Coefficient of coupling COC ik =CO ik /CK _ Ci; for example, the number plate of the license plate is Zhe AD 8, the times of the day recorded by the card are 10, the times of the mobile phone number 137 is 8, the mobile phone number 9766 is coupled with the mobile phone number in space and time, and the coupling coefficient of the day is 0.8.
Probability information calibration: setting β =0.75 as confidence threshold when COM is present ik If the number is more than beta, the number plate and the mobile phone number have obvious accompanying relation, if N mobile phone numbers exist, the number plate and the mobile phone number have CO ik >β, the driver probability CO of each relationship pair ik _Driver=CO ik and/N. As in the above example, if the simultaneous existence number 138 × 7788 also has an accompanying relationship with the license plate AD × 8, the probability of the driver is 0.4 (= 0.8/2).
Further, a human-vehicle matching database can be dynamically trained based on historical data, and as an implementation scheme, historical behavior decay calibration can be performed firstly.
For example, since it is inferred from the history of driving that there is a time-lapse probability of the driver, the decay period thereof may be set to T (time for the probability to decay to 10% of the original). Optionally, setting T =365 days, using an exponential model, according to W × α 365 = W × 10%, α =0.9937 was obtained.
The people-car matching database may then be dynamically updated based on historical behavior.
Illustratively, according to the probability information corresponding to the determined mobile phone number, CO ik A Driver, which can obtain X sequences through long-period calculation, and the corresponding dates of the X sequences are recorded as d x (X =1,2 … X). If the driver probability obtained by calibrating the historical driving accompanying record is as follows:
Figure RE-GDA0003163209620000121
through the iterations, the driver probability of the non-actual driver is attenuated, and the actual driver is enhanced.
In the technical scheme disclosed in the embodiment, a vehicle-mobile phone number corresponding relation based on historical driving behaviors is obtained according to the space-time coupling of base station access data and license plate detection data, and dynamic updating is realized, wherein the method comprises a space-time division method and a principle according to the frequency generated by mobile phone signaling, a coupling degree calculation method based on the multiplication of two space-time matrixes of vehicle and mobile phone numbers and probability calibration corresponding to the mobile phone numbers, and dynamic updating based on an attenuation period, so that when at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number are determined according to a pre-trained human-vehicle matching database, the accuracy is greatly improved.
In addition, an embodiment of the present invention further provides a server, where the server includes a memory, a processor, and a management information push program that is stored in the memory and is executable on the processor, and when the management information push program is executed by the processor, the steps of the management information push method according to the foregoing embodiments are implemented.
In addition, referring to fig. 4, an embodiment of the present invention further provides a server 100, where the server 100 includes:
the determining module 101 is configured to determine road segment information associated with management data to be pushed, and determine license plate information corresponding to the road segment information;
the query module 102 is configured to determine at least one mobile phone number associated with the license plate information and probability information associated with each mobile phone number based on a pre-trained human-vehicle matching database;
the pushing module 103 is configured to determine a target mobile phone number according to the current position corresponding to the mobile phone number and the probability information, and push the management data to the target mobile phone number.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a management information pushing program is stored on the computer-readable storage medium, and when the management information pushing program is executed by a processor, the steps of the management information pushing method according to the above embodiments are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for causing a server to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for pushing management information is characterized in that the method for pushing the management information comprises the following steps:
determining road section information related to management data to be pushed, and determining a target license plate corresponding to the road section information;
determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained person-vehicle matching database;
and determining a target mobile phone number corresponding to the target license plate according to the current position corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number.
2. The method for pushing management information according to claim 1, wherein the step of determining at least one mobile phone number associated with the target license plate and probability information associated with each mobile phone number based on a pre-trained people-vehicle matching database is preceded by the step of:
receiving license plate detection data of a high-speed gate, and acquiring base station access data of the position of the high-speed gate;
determining the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate detection data and the base station access data;
and training the man-vehicle matching database according to the incidence relation and the probability information.
3. The method for pushing management information according to claim 2, wherein the step of determining the association relationship between the target license plate and the mobile phone number according to the license plate detection data and the base station access data, and the probability information associated with the mobile phone number comprises:
determining a license plate vector corresponding to the target license plate according to the license plate detection data;
determining a communication vector corresponding to each mobile phone number according to the base station access data;
and determining the association relationship between the target license plate and the mobile phone number and the probability information associated with the mobile phone number according to the license plate vector and the communication vector.
4. The method for pushing management information according to claim 3, wherein the step of determining the association relationship between the target license plate and the mobile phone number according to the license plate vector and the communication vector, and the probability information associated with the mobile phone number comprises:
determining a coupling degree between the license plate vector and the communication vector;
and when the coupling degree is greater than a preset threshold value, taking the mobile phone number corresponding to the communication vector as the mobile phone number associated with the target license plate, and determining the probability information according to the coupling degree.
5. The management information pushing method according to claim 2, wherein the license plate detection data includes a time when the target license plate is detected at the high-speed gate, and position information of the high-speed gate.
6. The method for pushing management information according to claim 1, wherein after the step of determining the target mobile phone number corresponding to the target license plate according to the current location corresponding to the mobile phone number and the probability information and pushing the management data to the target mobile phone number, the method further comprises:
receiving feedback information sent by the target mobile phone number;
and determining whether the management information is successfully pushed according to the feedback information.
7. The method for pushing management information according to claim 1, wherein the step of determining a target mobile phone number corresponding to the target license plate according to the current location corresponding to the mobile phone number and the probability information, and pushing the management data to the target mobile phone number includes:
acquiring the current position corresponding to each mobile phone number and the probability information corresponding to each mobile phone number;
taking the mobile phone number of the current position at the position corresponding to the road section information as a mobile phone number to be selected;
and selecting the target mobile phone number from the mobile phone numbers to be selected according to the probability information, and pushing the management data to the target mobile phone number.
8. A server, characterized in that the server comprises: memory, processor and a push program of management information stored on said memory and executable on said processor, said push program of management information implementing the steps of the method of pushing management information according to any one of claims 1 to 7 when executed by said processor.
9. A server, characterized in that the server comprises:
the determining module is used for determining road section information related to the management data to be pushed and determining license plate information corresponding to the road section information;
the inquiry module is used for determining at least one mobile phone number associated with the license plate information and probability information associated with each mobile phone number based on a pre-trained man-vehicle matching database;
and the pushing module is used for determining a target mobile phone number according to the current position corresponding to the mobile phone number and the probability information and pushing the management data to the target mobile phone number.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a push program of management information, which when executed by a processor implements the steps of the method of pushing management information according to any one of claims 1 to 7.
CN202110682729.1A 2021-06-18 2021-06-18 Management information pushing method, server and storage medium Pending CN115499499A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117576795A (en) * 2024-01-17 2024-02-20 浙江大学建筑设计研究院有限公司 Parking arrearage payment method based on mobile phone signaling data and parking lot management data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117576795A (en) * 2024-01-17 2024-02-20 浙江大学建筑设计研究院有限公司 Parking arrearage payment method based on mobile phone signaling data and parking lot management data
CN117576795B (en) * 2024-01-17 2024-04-19 浙江大学建筑设计研究院有限公司 Parking arrearage payment method based on mobile phone signaling data and parking lot management data

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