CN107610465B - Traffic monitoring data matching method, system and storage device - Google Patents
Traffic monitoring data matching method, system and storage device Download PDFInfo
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Abstract
The invention provides a traffic monitoring data matching method, a system and a storage device, which comprise the following steps: acquiring monitoring data of a traffic gate in a designated area; acquiring a accompanying record on the basis of each vehicle passing record; creating a plurality of first databases; creating a plurality of second databases; on the basis of each license plate number, all first databases related to the license plate number on the same day are found out; iteratively solving intersection of data sets stored in every two first databases which do not solve intersection with each other; if the intersection of the following vehicle set is zero and the intersection of the in-vehicle personnel electronic equipment information set is not zero, updating the second database, and otherwise, continuously iterating to obtain the intersection; the invention has the advantages of clear matching result, high matching speed and high matching rate, and is suitable for the field of traffic management and monitoring.
Description
Technical Field
The invention belongs to the technical field of traffic management and monitoring, and particularly relates to a traffic monitoring data matching method, a system and storage equipment.
Background
With the upgrading of information-based construction means, it is quite common to install a large number of probes and personal electronic information acquisition equipment at each traffic gate. The collection of the information can provide information data of one hand for public security officers on one hand, and provides data base for big data analysis on the other hand. In the process, if the collected vehicle number plate information can be matched with the electronic equipment identification codes of the persons in the vehicles, the correlation between the two information groups is meant, and then the vehicle can be clearly known to be used by the person in which time period, so that the monitoring and management of road traffic by related departments are facilitated, and the investigation work efficiency of the public security department is improved.
Currently, the association between the two sets of data is generally to gradually increase the probability of mutual association by increasing the number ratio of the co-occurrence times of the two sets of data, or to perform auxiliary demonstration by relying on external information. These prior art techniques suffer from the following drawbacks and deficiencies: 1. only probability results are given, the value given is one possibility; 2. when the algorithm reaches high matching degree, a large amount of data is required to be accumulated, so that the used time is too long, and when one person drives a plurality of vehicles within a period of time, the probability of each vehicle is not high; 3. when the vehicle passes through only one gate, the data matching cannot be confirmed; 4. in the traditional algorithm, the absolute value of the time difference between the time when an automobile passes through a monitoring point and the time when the number plate information is acquired and the time when the number of the electronic equipment in the automobile is acquired is not accurately confirmed, and the use effect is influenced due to numerous accompanying vehicle data and overlarge noise; 5. the association possibility between the vehicle and the electronic equipment number is generally low, and the use is inconvenient in the application process; 6. external data assistance is required, for example, external information assistance such as owner information and fine payment information is required to improve accuracy.
Disclosure of Invention
The invention overcomes the defects of the prior art, and solves the technical problems that: the traffic monitoring data matching method, the system and the storage device are clear in matching result, high in matching speed and high in matching rate.
In order to solve the technical problems, the invention adopts the technical scheme that: a traffic monitoring data matching method comprises the following steps: s101, acquiring monitoring data of a traffic gate in a designated area, wherein the monitoring data comprises: the all-day vehicle passing record and the in-vehicle personnel electronic equipment information record comprise: license plate number, bayonet ID and the moment of the passing vehicle, personnel's electronic equipment information in the car includes: the unique identification code of the electronic equipment carried by people in the vehicle and the time when the identification code is collected; s102, obtaining the accompanying record of each vehicle passing record in a certain time period T on the basis of each vehicle passing record, wherein the accompanying record comprises: the vehicle passing record of the accompanying vehicle in the time period T and the information records of all the in-vehicle personnel electronic equipment collected in the time period T; s103-1, a plurality of first databases are created, wherein one first database correspondingly stores the whole information of one vehicle passing record, and the whole information of the vehicle passing record comprises: the vehicle passing record and the accompanying record of the vehicle passing record are recorded; s103-2, a plurality of second databases are created, one second database correspondingly stores matching information of a vehicle passing record, and the matching information of the vehicle passing record comprises: the number plate of the passing record, the in-vehicle personnel electronic equipment information corresponding to the number plate and the number of times of acquiring the in-vehicle personnel electronic equipment information are zero at the beginning; s104, on the basis of each license plate number, finding out all first databases related to the license plate number on the same day, wherein the first databases related to the license plate number refer to: the information stored in the first database comprises the license plate number; s105, iteratively solving the intersection of data sets stored in pairwise first databases which do not solve the intersection, wherein the data sets stored in the first databases comprise: the method comprises the following steps of (1) collecting accompanying vehicles and in-vehicle personnel electronic equipment information; s106, if the intersection of the following vehicle set is zero and the intersection of the in-vehicle personnel electronic equipment information set is not zero, executing the step S107, otherwise, returning to the step S105; s107, judging that the in-vehicle personnel electronic equipment information in the intersection is matched with the license plate number, storing the in-vehicle personnel electronic equipment information in the intersection into a corresponding second database for updating matching information, and deleting the two corresponding first databases.
Preferably, before iteratively intersecting the data sets stored in the pairwise first databases that have not intersected each other, the method further includes: and checking the data stored in each related first database, if the number of the following vehicles stored in the first database is zero, judging that the in-vehicle personnel electronic equipment information stored in the first database is matched with the license plate number, storing the in-vehicle personnel electronic equipment information in a corresponding second database for updating the matching information, and deleting the corresponding first database.
Preferably, the method further comprises the following steps: and solving an intersection of the in-vehicle personal electronic equipment information set stored in the related first database and the in-vehicle personal electronic equipment information set stored in the corresponding second database, if the intersection of the in-vehicle personal electronic equipment information sets is not zero, storing the in-vehicle personal electronic equipment information in the intersection into the corresponding second database for updating the matching information, and deleting the corresponding first database.
Preferably, the method further comprises the following steps: and (4) on the basis of each license plate number, searching all first databases related to the license plate number, iteratively solving intersection of data sets stored in every two first databases which do not solve the intersection, executing the step S107 if the intersection of the following vehicle sets is zero and the intersection of the in-vehicle personnel electronic equipment information sets is not zero, and otherwise, returning to the step S105.
Preferably, the method further comprises the following steps: according to the matching information stored in the second database, the time difference between the time of passing the vehicle and the time of collecting the information of the electronic equipment of the personnel in the vehicle is counted, the distribution function of all the time differences of each traffic gate is calculated, and then the time period T in the step S102 is determined.
Preferably, before the acquiring the monitoring data of the traffic gate in the designated area, the method further includes: and grouping the traffic monitoring checkpoints.
Preferably, the acquiring of the monitoring data of the traffic gate in the designated area specifically includes: counting all-day vehicle passing record tables of each group to form an integral vehicle passing record table; and counting the information recording tables of the electronic equipment of the personnel in the whole vehicle of each group all day to form an information recording table of the electronic equipment of the personnel in the whole vehicle.
The invention provides a storage device, wherein a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor and executing the traffic monitoring data matching method.
The invention provides a traffic monitoring data matching system, which comprises a background management center and acquisition equipment; the backstage management center comprises: a processor adapted to implement instructions; and a storage device adapted to store a plurality of instructions adapted to be loaded by the processor and to perform the traffic monitoring data matching method as described above; the collection equipment sets up in traffic bayonet department, and wherein, a traffic bayonet corresponds and sets up a collection equipment, collection equipment includes: one or more image collectors: the system is suitable for collecting vehicle passing records corresponding to the traffic gates; one or more electronic fences: the vehicle-mounted personnel electronic equipment information acquisition system is suitable for acquiring the information records of the vehicle-mounted personnel electronic equipment corresponding to the traffic gate.
Compared with the prior art, the invention has the following beneficial effects:
1. the method comprises the steps of firstly obtaining monitoring data of all designated traffic checkpoints, then simultaneously establishing two databases for each vehicle passing record, storing vehicle passing information and possible in-vehicle personnel electronic equipment information of the vehicle passing record in the first database, storing final matching information of the vehicle passing record in the second database, and finally performing pairwise intersection calculation on all first databases related to the vehicle passing record. Generally, for a certain vehicle, if any one of the vehicles does not follow the vehicle within a time period, the vehicle interior personal electronic device acquired within the time period is the vehicle interior personal electronic device of the vehicle. Based on the principle, if the vehicle passes through a plurality of traffic checkpoints on the same day, and after the intersection of the acquired accompanying vehicle set of the vehicle and the acquired in-vehicle personnel electronic equipment information set is obtained, if the intersection of the accompanying vehicle set is zero, the obtained intersection of the in-vehicle personnel electronic equipment information is the in-vehicle personnel electronic equipment information of the vehicle, and the more traffic checkpoints the vehicle passes through in one day, the higher the probability of finding the electronic equipment identification code carried by the in-vehicle personnel is. Therefore, compared with the traditional method, the scheme of the invention can definitely give the matching result without external data, and has higher matching speed and higher matching efficiency by solving the intersection.
2. Before solving the intersection of the first databases related to a certain license plate number, self-checking each related first database, searching whether the number of the following vehicles stored in each first database is zero or not, if the number of the following vehicles is zero, indicating that the in-vehicle personnel electronic equipment information stored in the first database is the in-vehicle personnel electronic equipment information of the vehicle, directly storing the in-vehicle personnel electronic equipment information into the corresponding second database for updating the matching information, and deleting the corresponding first database; otherwise, the corresponding first database is subjected to normal intersection solving action. Although the situation that the matching relation can be directly determined is less, the situation also exists, the data processing time is saved to a certain extent, and the matching speed is further accelerated.
3. The invention can also calculate the intersection of the in-vehicle personnel electronic equipment information set stored in the related first database and the in-vehicle personnel electronic equipment information set stored in the corresponding second database, if the intersection of the in-vehicle personnel electronic equipment information sets is not zero, the in-vehicle personnel electronic equipment information in the intersection is stored in the corresponding second database for updating the matching information, and the corresponding first database is deleted. When the data volume is large or the data time is long, the method can quickly compare whether the collected new electronic equipment appears on the vehicle before, so that the time and period for data processing are shortened, and the matching speed is further accelerated.
4. In the invention, for a certain vehicle, if the intersection of all the related first databases on the same day is not successfully solved, pairwise intersection solving can be carried out on the rest related first databases and the rest related first databases on other days. Roughly, when vehicles pass through a traffic gate on different days or in different time periods of a day, the probability that the intersection of the following vehicle sets is not zero is almost zero, and then the electronic equipment identification codes carried by people in the vehicles can be determined at a very high probability. This ensures a higher matching rate.
5. In the process of confirming the minimum time period T, the method can adjust the value of the time period T through self-learning according to the known matching result set, so that the value of the T tends to be accurate continuously, the calculation amount of the whole system is reduced, and unnecessary consumption is reduced.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings;
fig. 1 is a flowchart of a traffic monitoring data matching method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a traffic monitoring data matching device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a traffic monitoring data matching device according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a traffic monitoring data matching device according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a traffic monitoring data matching device according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of a traffic monitoring data matching device according to a fifth embodiment of the present invention;
fig. 7 is a schematic structural diagram of a traffic monitoring data matching device according to a sixth embodiment of the present invention;
fig. 8 is a schematic structural diagram of a traffic monitoring data matching device according to a seventh embodiment of the present invention;
in the figure: 101 is a monitoring data acquisition module, 102 is a following record acquisition module, 103-1 is a first database creation module, 103-2 is a second database creation module, 104 is a related database search module, 105 is a first intersection set finding module, 106 is a matching judgment module, 107 is a matching update module, 108 is a database self-check module, 109 is a second intersection set finding module, 110 is a third intersection set finding module, 111 is a self-learning module, 112 is a grouping module, 1011 is a first acquisition module, and 1012 is a second acquisition module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention; 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 invention provides a traffic monitoring data matching method, fig. 1 is a flowchart of a first embodiment, and as shown in fig. 1, the traffic monitoring data matching method may include:
s101, acquiring monitoring data of a traffic gate in a designated area, wherein the monitoring data comprises: the all-day vehicle passing record and the in-vehicle personnel electronic equipment information record comprise: license plate number, bayonet ID and the moment of the passing vehicle, personnel's electronic equipment information in the car includes: the unique identification code of the electronic equipment carried by the personnel in the vehicle and the time when the identification code is collected.
S102, obtaining the accompanying record of each vehicle passing record in a certain time period T on the basis of each vehicle passing record, wherein the accompanying record comprises: and recording the passing record of the accompanying vehicle in the time period T and the information records of all the in-vehicle personnel electronic equipment collected in the time period T.
S103-1, a plurality of first databases are created, wherein one first database correspondingly stores the whole information of one vehicle passing record, and the whole information of the vehicle passing record comprises: the vehicle passing record and the accompanying record of the vehicle passing record.
S103-2, a plurality of second databases are created, one second database correspondingly stores matching information of a vehicle passing record, and the matching information of the vehicle passing record comprises: the number plate of the passing record, the in-vehicle personnel electronic equipment information corresponding to the number plate and the number of times that the in-vehicle personnel electronic equipment information is collected are zero initially.
S104, on the basis of each license plate number, finding out all first databases related to the license plate number on the same day, wherein the first databases related to the license plate number refer to: the information stored in the first database includes the license plate number.
S105, iteratively solving the intersection of data sets stored in pairwise first databases which do not solve the intersection, wherein the data sets stored in the first databases comprise: the system comprises a accompanying vehicle set and an in-vehicle personnel electronic equipment information set.
And S106, if the intersection of the following vehicle set is zero and the intersection of the in-vehicle personnel electronic equipment information set is not zero, executing the step S107, otherwise, returning to the step S105.
S107, judging that the in-vehicle personnel electronic equipment information in the intersection is matched with the license plate number, storing the in-vehicle personnel electronic equipment information in the intersection into a corresponding second database for updating matching information, and deleting the two corresponding first databases.
In a specific implementation, the unique identifier of the electronic device may be MAC, IMSI, IMEI, or the like. The selection of the time period T can be determined according to the time difference between the license plate information acquisition time at the traffic gate and the electronic equipment information acquisition time, so that the condition that certain license plate information and the electronic equipment information in the vehicle can be acquired in the time period is ensured. In this embodiment, the time period T may be initially selected to be 5 minutes. For a certain vehicle passing record, the acquisition of the accompanying record can be as follows: and taking the passing time in the passing record as a center, and selecting all the passing records in the previous 5 minutes and the next 5 minutes as accompanying records of the passing record.
In this embodiment, first, monitoring data of all designated traffic checkpoints are acquired, then two databases are created for each vehicle passing record at the same time, vehicle passing information and possible in-vehicle personnel electronic device information of the vehicle passing record are stored in the first database, final matching information of the vehicle passing record is stored in the second database, and finally, intersection is calculated pairwise for all first databases related to the vehicle passing record. Generally, for a certain vehicle, if any one of the vehicles does not follow the vehicle within a time period, the vehicle interior personal electronic device acquired within the time period is the vehicle interior personal electronic device of the vehicle. Based on the principle, if the vehicle passes through a plurality of traffic checkpoints on the same day, and after the intersection of the acquired accompanying vehicle set of the vehicle and the acquired in-vehicle personnel electronic equipment information set is obtained, if the intersection of the accompanying vehicle set is zero, the obtained intersection of the in-vehicle personnel electronic equipment information is the in-vehicle personnel electronic equipment information of the vehicle, and the more traffic checkpoints the vehicle passes through in one day, the higher the probability of finding the electronic equipment identification code carried by the in-vehicle personnel is. For the scheme in the embodiment, the vehicle can immediately calculate the matching between the vehicle and the identification code of the electronic device through the bayonet once, through a plurality of bayonets on the same day, or through the bayonets on different days. Therefore, compared with the traditional method, the scheme of the embodiment can definitely provide the matching result without external data, and the matching speed and the matching efficiency are higher by solving the intersection.
Further, before iteratively solving the intersection of the data sets stored in the pairwise first databases that have not solved the intersection with each other, the method may further include: and checking the data stored in each related first database, if the number of the following vehicles stored in the first database is zero, judging that the in-vehicle personnel electronic equipment information stored in the first database is matched with the license plate number, storing the in-vehicle personnel electronic equipment information in a corresponding second database for updating the matching information, and deleting the corresponding first database.
In this embodiment, before intersection of first databases related to a certain license plate number is solved, self-checking may be performed on each related first database, and whether the number of traveling vehicles stored in each first database is zero is found, if the number of traveling vehicles is zero, it is described that the in-vehicle personal electronic device information stored in the first database is the in-vehicle personal electronic device information of the vehicle, the in-vehicle personal electronic device information is directly stored in the corresponding second database to perform matching information update, and the corresponding first database is deleted; otherwise, the corresponding first database is subjected to normal intersection solving action. Although the situation that the matching relation can be directly determined is less, the situation also exists, the data processing time is saved to a certain extent, and the matching speed is further accelerated.
Further, the method can also comprise the following steps: and solving an intersection of the in-vehicle personal electronic equipment information set stored in the related first database and the in-vehicle personal electronic equipment information set stored in the corresponding second database, if the intersection of the in-vehicle personal electronic equipment information sets is not zero, storing the in-vehicle personal electronic equipment information in the intersection into the corresponding second database for updating the matching information, and deleting the corresponding first database.
When the data volume is large or the data time is long, through the mode, whether the acquired new electronic equipment appears on the vehicle before can be quickly compared, so that the data processing time and period are shortened, and the matching speed is further accelerated.
Further, the method can also comprise the following steps: and (4) on the basis of each license plate number, searching all first databases related to the license plate number, iteratively solving intersection of data sets stored in every two first databases which do not solve the intersection, executing the step S107 if the intersection of the following vehicle sets is zero and the intersection of the in-vehicle personnel electronic equipment information sets is not zero, and otherwise, returning to the step S105.
In this embodiment, for a certain vehicle, if there is any relevant first database that is not successfully intersected on the same day, pairwise intersection may be performed on the remaining relevant first databases and the remaining relevant first databases on other days. Roughly, when vehicles pass through a traffic gate on different days or in different time periods of a day, the probability that the intersection of the following vehicle sets is not zero is almost zero, and then the electronic equipment identification codes carried by people in the vehicles can be determined at a very high probability. This ensures a higher matching rate.
Further, the method can also comprise the following steps: according to the matching information stored in the second database, the time difference between the time of passing the vehicle and the time of collecting the information of the electronic equipment of the personnel in the vehicle is counted, the distribution function of all the time differences of each traffic gate is calculated, and then the time period T in the step S102 is determined.
In specific implementation, the difference between the vehicle passing recording time and the electronic device information acquisition time is counted according to the matching result, a distribution function of all time differences of one gate is calculated, and then 99% of data is included in the time T in the range, wherein T is T/2. Theoretically, the T values of all the bayonets are different and need to be confirmed respectively.
In the process of confirming the minimum time period T, the present embodiment may adjust the value of the time period T through self-learning according to the known matching result set, so that the value of T tends to be accurate continuously, the calculation amount of the whole system is reduced, and unnecessary consumption is reduced.
Further, before the acquiring the monitoring data of the traffic gate in the designated area, the method may further include:
and grouping the traffic monitoring checkpoints.
In a specific implementation, the grouping of the traffic monitoring checkpoints may specifically include: acquiring a corresponding relation table of a traffic monitoring bayonet and an electronic fence; screening out a traffic monitoring bayonet which is provided with an image collector and an electronic fence at the same time; and uniformly grouping the screened traffic monitoring checkpoints, wherein one traffic monitoring checkpoint corresponds to one group.
Further, the acquiring of the monitoring data of the traffic gate in the designated area may specifically include:
and counting the all-day vehicle passing record table of each group to form an integral vehicle passing record table.
And counting the information recording tables of the electronic equipment of the personnel in the whole vehicle of each group all day to form an information recording table of the electronic equipment of the personnel in the whole vehicle.
The invention also provides a traffic monitoring data matching device, fig. 2 is a schematic structural diagram of the first embodiment, and as shown in fig. 2, the traffic monitoring data matching device may include:
the monitoring data acquisition module 101: the method is suitable for acquiring monitoring data of a traffic gate in a designated area, and the monitoring data comprises the following steps: the all-day vehicle passing record and the in-vehicle personnel electronic equipment information record comprise: license plate number, bayonet ID and the moment of the passing vehicle, personnel's electronic equipment information in the car includes: the unique identification code of the electronic equipment carried by the personnel in the vehicle and the time when the identification code is collected.
The accompanying record obtaining module 102: the method is suitable for acquiring the accompanying record of each vehicle passing record in a certain time period T on the basis of each vehicle passing record, and the accompanying record comprises the following steps: and recording the passing record of the accompanying vehicle in the time period T and the information records of all the in-vehicle personnel electronic equipment collected in the time period T.
The first database creation module 103-1: the method is suitable for creating a plurality of first databases, wherein one first database correspondingly stores the overall information of one vehicle passing record, and the overall information of the vehicle passing record comprises the following steps: the vehicle passing record and the accompanying record of the vehicle passing record.
The second database creation module 103-2: the method is suitable for creating a plurality of second databases, and matching information of a vehicle passing record is correspondingly stored in one second database, wherein the matching information of the vehicle passing record comprises: the number plate of the passing record, the in-vehicle personnel electronic equipment information corresponding to the number plate and the number of times that the in-vehicle personnel electronic equipment information is collected are zero initially.
The relational database lookup module 104: the method is suitable for finding out all first databases related to the license plate number on the same day based on each license plate number, wherein the first databases related to the license plate number are as follows: the information stored in the first database includes the license plate number.
The first intersection solving module 105: the method is suitable for iteratively solving the intersection of data sets stored in two pairwise first databases which do not solve the intersection with each other, wherein the data sets stored in the first databases comprise: the system comprises a accompanying vehicle set and an in-vehicle personnel electronic equipment information set.
The match determination module 106: and updating the second database if the intersection of the following vehicle set is zero and the intersection of the in-vehicle personnel electronic equipment information set is not zero, and otherwise, continuously iterating to obtain the intersection.
The match update module 107: the method is suitable for judging that the in-vehicle personnel electronic equipment information in the intersection is matched with the license plate number, storing the in-vehicle personnel electronic equipment information in the intersection into the corresponding second database for updating the matching information, and deleting the two corresponding first databases.
Fig. 3 is a schematic structural diagram of the second embodiment, as shown in fig. 3, based on the first embodiment, the traffic monitoring data matching device may further include:
database introspection module 108: the method is suitable for checking the data stored in each related first database, if the number of the following vehicles stored in the first database is zero, the information of the electronic equipment of the people in the vehicle stored in the first database is judged to be matched with the license plate number, the information of the electronic equipment of the people in the vehicle is stored in the corresponding second database for updating the matching information, and the corresponding first database is deleted.
Fig. 4 is a schematic structural diagram of a third embodiment, as shown in fig. 4, on the basis of the first embodiment, the traffic monitoring data matching device may further include:
the second intersection solving module 109: the method is suitable for solving the intersection of the in-vehicle electronic equipment information set stored in the related first database and the in-vehicle electronic equipment information set stored in the corresponding second database, and if the intersection of the in-vehicle electronic equipment information sets is not zero, the in-vehicle electronic equipment information in the intersection is stored in the corresponding second database for updating the matching information, and the corresponding first database is deleted.
Fig. 5 is a schematic structural diagram of a fourth embodiment, as shown in fig. 5, based on the first embodiment, the traffic monitoring data matching device may further include:
the third intersection solving module 110: the method is suitable for searching all first databases related to the license plate number on the basis of each license plate number, iterating and solving intersection of data sets stored in every two first databases which do not solve intersection, updating a second database if intersection of following vehicle sets is zero and intersection of in-vehicle personnel electronic equipment information sets is not zero, and otherwise, iterating and solving intersection continuously.
Fig. 6 is a schematic structural diagram of a fifth embodiment, as shown in fig. 6, based on the first embodiment, the traffic monitoring data matching device may further include:
the self-learning module 111: the method is suitable for counting the time difference between the passing time and the time when the information of the electronic equipment of the personnel in the vehicle is collected according to the matching information stored in the second database, calculating the distribution function of all the time differences of each traffic gate, and further determining the time period T.
Fig. 7 is a schematic structural diagram of a sixth embodiment, as shown in fig. 7, based on the first embodiment, the traffic monitoring data matching device may further include:
the grouping module 112: the method is suitable for grouping the traffic monitoring checkpoints.
Fig. 8 is a schematic structural diagram of a seventh embodiment, and as shown in fig. 8, on the basis of the first embodiment, the monitoring data obtaining module 101 may specifically include:
the first acquisition module 1011: the method is suitable for counting the all-day vehicle passing record table of each group to form an integral vehicle passing record table.
The second acquisition module 1012: the method is suitable for counting the information recording lists of the electronic equipment of the personnel in the whole vehicle in each group all day to form the information recording list of the electronic equipment of the personnel in the whole vehicle.
The invention also provides a storage device, wherein the storage device stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the traffic monitoring data matching method.
In particular implementations, the storage device may be a computer-readable storage medium that may include: ROM, RAM, magnetic or optical disks, and the like.
The invention also provides a traffic monitoring data matching system, which can comprise: a background management center and a collection device.
The background management center can include:
a processor adapted to implement instructions; and
a storage device adapted to store a plurality of instructions adapted to be loaded by a processor and to perform the traffic monitoring data matching method as described above.
The collection equipment sets up in traffic bayonet department, and wherein, a traffic bayonet corresponds and sets up a collection equipment, collection equipment includes:
one or more image collectors: is suitable for collecting the vehicle passing record corresponding to the traffic gate.
One or more electronic fences: the vehicle-mounted personnel electronic equipment information acquisition system is suitable for acquiring the information records of the vehicle-mounted personnel electronic equipment corresponding to the traffic gate.
In specific implementation, the image collector may be a camera, a probe, or the like.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the methods, apparatus described above may be referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. In addition, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the embodiments provided in the present application, it should be understood that the disclosed method, apparatus and system may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and 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 of devices or units through some communication interfaces, 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.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A traffic monitoring data matching method is characterized in that: the method comprises the following steps:
s101, acquiring monitoring data of a traffic gate in a designated area, wherein the monitoring data comprises: the all-day vehicle passing record and the in-vehicle personnel electronic equipment information record comprise: license plate number, bayonet ID and the moment of the passing vehicle, personnel's electronic equipment information in the car includes: the unique identification code of the electronic equipment carried by people in the vehicle and the time when the identification code is collected;
s102, obtaining the accompanying record of each vehicle passing record in a certain time period T on the basis of each vehicle passing record, wherein the accompanying record comprises: the vehicle passing record of the accompanying vehicle in the time period T and the information records of all the in-vehicle personnel electronic equipment collected in the time period T;
s103-1, a plurality of first databases are created, wherein one first database correspondingly stores the whole information of one vehicle passing record, and the whole information of the vehicle passing record comprises: the vehicle passing record and the accompanying record of the vehicle passing record are recorded;
s103-2, a plurality of second databases are created, one second database correspondingly stores matching information of a vehicle passing record, and the matching information of the vehicle passing record comprises: the number plate of the passing record, the in-vehicle personnel electronic equipment information corresponding to the number plate and the number of times of acquiring the in-vehicle personnel electronic equipment information are zero at the beginning;
s104, on the basis of each license plate number, finding out all first databases related to the license plate number on the same day, wherein the first databases related to the license plate number refer to: the information stored in the first database comprises the license plate number;
s105, iteratively solving the intersection of data sets stored in pairwise first databases which do not solve the intersection, wherein the data sets stored in the first databases comprise: the method comprises the following steps of (1) collecting accompanying vehicles and in-vehicle personnel electronic equipment information;
s106, if the intersection of the following vehicle set is zero and the intersection of the in-vehicle personnel electronic equipment information set is not zero, executing the step S107, otherwise, returning to the step S105;
s107, judging that the in-vehicle personnel electronic equipment information in the intersection is matched with the license plate number, storing the in-vehicle personnel electronic equipment information in the intersection into a corresponding second database for updating matching information, and deleting the two corresponding first databases.
2. The traffic monitoring data matching method according to claim 1, characterized in that: further comprising:
and solving an intersection of the in-vehicle personal electronic equipment information set stored in the related first database and the in-vehicle personal electronic equipment information set stored in the corresponding second database, if the intersection of the in-vehicle personal electronic equipment information sets is not zero, storing the in-vehicle personal electronic equipment information in the intersection into the corresponding second database for updating the matching information, and deleting the corresponding first database.
3. The traffic monitoring data matching method according to claim 1, characterized in that: further comprising:
and (4) on the basis of each license plate number, searching all first databases related to the license plate number, iteratively solving intersection of data sets stored in every two first databases which do not solve the intersection, executing the step S107 if the intersection of the following vehicle sets is zero and the intersection of the in-vehicle personnel electronic equipment information sets is not zero, and otherwise, returning to the step S105.
4. The traffic monitoring data matching method according to claim 1, characterized in that: further comprising:
according to the matching information stored in the second database, the time difference between the time of passing the vehicle and the time of collecting the information of the electronic equipment of the personnel in the vehicle is counted, the distribution function of all the time differences of each traffic gate is calculated, and then the time period T in the step S102 is determined.
5. The traffic monitoring data matching method according to claim 1, characterized in that: before the monitoring data of the traffic gate in the designated area is obtained, the method further comprises the following steps:
and grouping the traffic monitoring checkpoints.
6. The traffic monitoring data matching method according to claim 5, characterized in that: the acquiring of the monitoring data of the traffic gate in the designated area specifically includes:
counting all-day vehicle passing record tables of each group to form an integral vehicle passing record table;
and counting the information recording tables of the electronic equipment of the personnel in the whole vehicle of each group all day to form an information recording table of the electronic equipment of the personnel in the whole vehicle.
7. A storage device having a plurality of instructions stored therein, characterized in that: the instructions are adapted to be loaded by a processor and to perform a method of matching traffic monitoring data according to any of claims 1 to 6.
8. A traffic monitoring data matching system, characterized by: the system comprises a background management center and acquisition equipment;
the backstage management center comprises:
a processor adapted to implement instructions; and
a storage device adapted to store a plurality of instructions adapted to be loaded by a processor and to perform a traffic monitoring data matching method according to any of claims 1 to 6;
the collection equipment sets up in traffic bayonet department, and wherein, a traffic bayonet corresponds and sets up a collection equipment, collection equipment includes:
one or more image collectors: the system is suitable for collecting vehicle passing records corresponding to the traffic gates;
one or more electronic fences: the vehicle-mounted personnel electronic equipment information acquisition system is suitable for acquiring the information records of the vehicle-mounted personnel electronic equipment corresponding to the traffic gate.
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| CN110874933B (en) * | 2018-08-29 | 2022-06-24 | 北京万集科技股份有限公司 | Method, system and apparatus for determining personnel in a violation vehicle |
| CN113360523A (en) * | 2020-12-10 | 2021-09-07 | 四川警察学院 | Multiple screening system based on vehicle big data |
| CN113051419B (en) * | 2021-04-01 | 2021-10-01 | 航塔通讯有限公司 | Intelligent traffic monitoring remote data acquisition and analysis processing system based on application of Internet of things |
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