WO2022062289A1 - Traffic management data processing method and apparatus - Google Patents

Abstract

A traffic management data processing method and apparatus, the traffic management data processing method comprising: on the basis of the spatial association relationship of an electronic fence device identifier of a target electronic fence device and a front-end device identifier of a target front-end device, and a time association relationship of a passing time of a user terminal and a vehicle passing time of a vehicle, determining a spatio-temporal association relationship between the vehicle and the user terminal, and thereby determining a user terminal corresponding to the vehicle, enabling a specific user terminal to be found by means of a vehicle and a specific vehicle to be found by means of a user terminal.

Description

Traffic control data processing method and device

This application claims the priority of the Chinese patent application with the application number 202011036268.2 and the invention titled "Traffic Data Processing Method and Device" filed with the China Patent Office on September 27, 2020, the entire contents of which are incorporated into this application by reference.

technical field

The present application relates to the technical field of traffic data management, and in particular, to a method and device for processing traffic control data.

Background technique

With the rapid development of the security industry, related hardware devices are emerging one after another, and more and more motor vehicle data information and user terminal data information are collected by information collection equipment. At present, there are many methods for associating motor vehicle data information and user terminal data information, but these methods are all established by relying on the relationship between the existing vehicle data information collection equipment and user terminal data information collection equipment. For areas where there is no motor vehicle data information collection equipment associated with user terminal data information collection equipment, the collected motor vehicle data and user terminal data are isolated from each other, and it is impossible to build a clear data portrait through the connection between these data. , it is difficult to give full play to the value of data information.

Therefore, the prior art needs to rely on the existing associated equipment when associating the motor vehicle data and the user terminal data, and cannot establish an effective connection between the vehicle data and the user terminal data in areas where the existing associated equipment does not exist.

technical problem

The prior art needs to rely on existing associated equipment when associating vehicle data and user terminal data, and cannot establish an effective connection between vehicle data and user terminal data in areas where there is no existing associated equipment.

technical solutions

The present application provides a traffic control data processing method and device to solve the above technical problems.

The embodiment of the present application provides a traffic management data processing method, which includes:

The battery data is obtained according to the time marked by the first time sequence queue, and the battery data includes the battery device identifier of the target battery device, the terminal identifier of the user terminal passing through the target battery device, and the passing time. a sequence queue includes an initial acquisition time and a non-initial acquisition time, the initial acquisition time includes an absolute time, and the non-initial acquisition time includes a relative time relative to the absolute time;

Generate terminal matching data corresponding to the user terminal according to the electrical enclosure data, where the terminal matching data includes the electrical enclosure device identifier, the terminal identifier, and the passing time;

The passing data is obtained according to the time set by the second time sequence queue, and the passing data includes the front end device identification of the target front end device, the vehicle identification of the vehicle passing through the target front end device, and the passing time. The second time sequence queue including a complete relative time relative to the time demarcated by the first timing queue;

Generate vehicle matching data corresponding to the vehicle according to the passing data, where the vehicle matching data includes the front-end device identification, the vehicle identification, and the passing time;

The distance between the target electric enclosure and the target front-end device is determined according to the position data of the target electric enclosure and the position data of the target front-end device, and the distance between the target electric enclosure and the target front-end is determined according to the position data of the target electric enclosure and the target front-end The distance between the devices determines the spatial association relationship between the electrical peripheral device identification and the front-end device identification;

According to the spatial correlation relationship between the electric enclosure device identification and the front-end device identification, and the time correlation relationship between the passing time and the passing time, determine the space-time correlation relationship between the vehicle and the user terminal;

The user terminal corresponding to the vehicle is determined according to the space-time correlation between the vehicle and the user terminal.

Meanwhile, the present application also provides a traffic control data processing device, which includes:

a first acquisition module, configured to acquire electrical enclosure data according to the time demarcated by the first time sequence queue, the electrical enclosure data includes an electrical enclosure device identifier of a target electrical enclosure device, and a terminal identifier of a user terminal passing through the target electrical enclosure device and by time, the first sequential queue includes an initial acquisition time and a non-initial acquisition time, the initial acquisition time includes an absolute time, and the non-initial acquisition time includes a relative time with respect to the absolute time;

a first mapping module, configured to generate terminal matching data corresponding to the user terminal according to the electrical enclosure data, where the terminal matching data includes the electrical enclosure device identifier, the terminal identifier, and the passing time;

The second acquisition module is configured to acquire passing data according to the time set by the second time sequence queue, where the passing data includes the front-end device identification of the target front-end device, the vehicle identification of the vehicle passing through the target front-end device, and the passing time , the second sequence queue includes a complete relative time relative to the time demarcated by the first sequence queue;

a second mapping module, configured to generate vehicle matching data corresponding to the vehicle according to the passing data, where the vehicle matching data includes the front-end device identification, the vehicle identification and the passing time;

A determination module, configured to determine the distance between the target electric enclosure device and the target front-end device according to the position data of the target electric enclosure device and the position data of the target front-end device, and determine the distance between the target electric enclosure device and the target front-end device according to the target electric enclosure device The distance between the target front-end device and the target front-end device determines the spatial association between the electrical enclosure device identifier and the front-end device identifier;

The determination module is further configured to determine the vehicle and the user terminal according to the spatial correlation relationship between the electric peripheral device identification and the front-end device identification, and the time correlation relationship between the passing time and the passing time. The spatial and temporal relationship between them;

The determining module is further configured to determine the user terminal corresponding to the vehicle according to the space-time correlation between the vehicle and the user terminal.

At the same time, an embodiment of the present application also provides a data server for a traffic management system, where the traffic management system further includes a target electronic peripheral device and a target front-end device, the data server includes a memory, a processor, and a data server stored on the memory and A computer program that can be run on the processor, wherein the processor implements the steps in the traffic management data processing method when the processor executes the program.

Meanwhile, an embodiment of the present application provides a computer-readable storage medium for a traffic management system, where a plurality of instructions are stored in the computer-readable storage medium, and the instructions are suitable for being loaded by a processor to execute the steps in the traffic management data processing method. .

beneficial effect

Embodiments of the present application provide a traffic management data processing method and device, wherein the traffic management data processing method is based on the spatial correlation between the electrical enclosure equipment identifier of the target electrical enclosure equipment and the front-end equipment identifier of the target front-end equipment, and the pass-through of the user terminal. The temporal correlation between the time and the passing time of the vehicle, determine the temporal and spatial correlation between the vehicle and the user terminal, and determine the corresponding vehicle according to the temporal and spatial correlation between the vehicle and the user terminal. User terminal; the traffic control data processing method establishes a spatial correlation relationship between the target electric enclosure equipment and the target front-end equipment according to the positional relationship between the two, which improves the randomness and randomness of establishing the spatial correlation relationship between the target electric enclosure equipment and the target front-end equipment. Convenience overcomes the problem that the existing equipment association is limited by the area, breaks the isolation between the electric enclosure data and the passing data obtained in a special area, and establishes the association between the electric enclosure data and the passing data. The relationship between the vehicle and the user terminal in the area is determined through the association relationship, so that the specific user terminal can be found through the vehicle, and the specific vehicle can be found through the user terminal, which is used for crime-fighting and inspection personnel in special areas. Provide important technical support.

Description of drawings

In order to more clearly illustrate the embodiments or technical solutions in the prior art, the following briefly introduces the accompanying drawings that are used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for application In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic diagram of an application scenario of a traffic control data processing method provided in an embodiment of the present application in a traffic control system;

2 is a flowchart of a traffic control data processing method provided by an embodiment of the present application;

3 is a flowchart of a method for obtaining a spatial association relationship between an electrical enclosure device identification and a front-end device identification provided by an embodiment of the present application;

4 is a flow chart of a first method for obtaining the time correlation between passing time and passing time provided by an embodiment of the present application;

5 is a flowchart of a second method for obtaining the time correlation between passing time and passing time provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a method for generating terminal matching data corresponding to a user terminal according to electrical enclosure data provided by an embodiment of the present application;

7 is a schematic diagram of a method for generating vehicle matching data corresponding to a vehicle according to passing data provided by an embodiment of the present application;

8 is a schematic structural diagram of a traffic control data processing device provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a computer device provided by an embodiment of the present application.

Embodiments of the present invention

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

Embodiments of the present application provide a traffic control data processing method and a traffic control data processing device. The traffic control data processing method uses the spatial association relationship between the electrical enclosure equipment identifier of the target electrical enclosure equipment and the front-end equipment identifier of the target front-end equipment, and the user terminal Through the time correlation relationship between the time and the passing time of the vehicle, the time-space correlation relationship between the vehicle and the user terminal is determined, and then the user terminal corresponding to the vehicle is determined. The traffic control data processing method establishes the spatial correlation between the target electric enclosure and the target front-end equipment according to the positional relationship between the two, thereby improving the randomness and convenience of establishing the spatial correlation between the target electric enclosure and the target front-end equipment, It overcomes the problem that the existing equipment association is limited by the area, breaks the isolation between the electric enclosure data and the passing data obtained in a special area, and establishes the correlation between the electric enclosure data and the passing data, and The corresponding relationship between the vehicle and the user terminal in the area is determined through the association relationship, so that the specific user terminal can be found through the vehicle, and the specific vehicle can be found through the user terminal. Technical Support.

Please refer to FIG. 1. FIG. 1 is a schematic diagram of an application scenario of the traffic control data processing method provided in the embodiment of the present application in a traffic control system. The traffic control data processing method is applied to the traffic control system, and is used for data integration and association of the motor vehicle data and the electrical enclosure data collected in the traffic control system, breaking the isolation between different types of data, and forming a system consisting of: Data portraits composed of various data combinations give full play to the application value of data. The traffic control system may include a user terminal 01 , a vehicle 02 , a target electric enclosure device 03 , a target front-end device 04 and a traffic control data processing device 05 . User terminal 01 can be an electronic device carried by personnel, such as mobile phone, walkie-talkie, tablet computer, notebook computer, electronic watch, etc.; each user terminal 01 has a unique terminal identification, such as IMEI (International Mobile Equipment Identity, International Mobile Equipment Identity) code or IMSI (International Mobile Subscriber Identification Number, International Mobile Subscriber Identity) code, the terminal identification is used to perform device identification on the user terminal 01. Vehicles 02 include various types of automobiles, motorcycles, agricultural locomotives, etc. Each vehicle 02 has a unique vehicle identification. The vehicle identification can be vehicle identification information consisting of license plate color and license plate number. Including vehicle color, vehicle model, vehicle manufacturer and other information, the vehicle identification is used to identify the vehicle 02. The target electronic enclosure device 03 is used to collect the terminal identifier of the user terminal 01 entering its collection range. The target electronic enclosure device 03 itself has an electronic enclosure device identifier, and the data of the user terminal 01 collected by the target electronic enclosure device 03 includes at least the user terminal. The terminal identification of 01, the passing time of the user terminal 01 through the target electric enclosure device 03; the target electric enclosure device 03 can be set near the traffic road, at the entrance and exit of the park or community, or in the community, and the collection range of the target electric enclosure device 03 can be The target electrical enclosure device 03 is a circular area with a center and a certain distance as a radius. The target front-end device 04 is used to collect the vehicle identification of the vehicle 02 entering its collection range. The target front-end device 04 itself has a front-end device identification. The data of the vehicle 02 collected by the target front-end device 04 at least includes the vehicle identification of the vehicle 02, the vehicle 02 Passing time through the target front-end equipment 04; the target front-end equipment 04 can be a camera set in traffic roads or at the entrances and exits of parks and communities, and the target front-end equipment 04 collects the information of the vehicle 02 in one direction, and can also collect in multiple directions Information for vehicle 02. The traffic management data processing device 05 is used to obtain the electric enclosure data and the passing vehicle data from the target electric enclosure equipment 03 and the target front-end equipment 04 respectively, and associate the electric enclosure data and the vehicle passing data according to a preset matching method to form The data collection is convenient for further data calling and analysis; it can also be: the electric enclosure data collected by the target electric enclosure equipment 03 and the vehicle passing data collected by the target front-end equipment 04 are first stored in a database, and the traffic control data The processing device 05 obtains the electric enclosure data and the passing data from the database, respectively.

It should be noted that the schematic diagram of the application scenario of the traffic control data processing method in the traffic control system shown in FIG. 1 is only an example, and the traffic control system and the scene described in the embodiments of the present application are for the purpose of illustrating the technical solutions of the embodiments of the present application more clearly. , which does not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those of ordinary skill in the art know that with the evolution of the traffic management system and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present application are not suitable for similar technical problems. The same applies. Each of them will be described in detail below. It should be noted that the description order of the following embodiments is not intended to limit the preferred order of the embodiments.

Please refer to FIG. 1 and FIG. 2 . FIG. 2 is a flowchart of a traffic management data processing method provided by an embodiment of the present application. In this embodiment, the traffic management data processing method will be described with reference to the embodiment shown in FIG. 1 , and the traffic management data processing method includes the following steps:

Step S201 , acquiring electrical enclosure data, where the electrical enclosure data includes an electrical enclosure device identifier of a target electrical enclosure device 03 , a terminal identifier of a user terminal 01 passing through the target electrical enclosure device 03 , and a passing time.

Specifically, when the user terminal 01 passes through the collection range of the target electrical enclosure device 03, the terminal identifier of the user terminal 01 will be collected by the target electrical enclosure device 03, and the terminal identifier may be the IMEI code or the IMSI code of the user terminal 01, The target electrical enclosure 03 itself has an electrical enclosure identification, and the electrical enclosure identifier is electrical enclosure information retained when the target electrical enclosure 03 is set, which may include: electrical enclosure code, electrical enclosure location information, Data collection accuracy information of the electrical enclosure equipment, etc.; each of the target electrical enclosure equipment 03 will collect the terminal identification of the user terminal 01, together with the passing time, with the electrical enclosure equipment identification of the target electrical enclosure equipment 03 as the first value For storage, for example, the storage form of the target battery device 03 can be <device ID, terminal ID, passing time>, and these information can be saved in the form of a data table, as shown in Table 1:

Table 1

Electrical equipment identification	Terminal ID	passing time
Elec_01	IMSI_01	August 1, 2020 8:23
Elec_01	IMSI_02	August 1, 2020 8:25
Elec_02	IMSI_01	August 1, 2020 8:30
Elec_02	IMSI_03	August 1, 2020 8:35

It should be noted that Table 1 only shows part of the electrical enclosure data collected by two target electrical enclosure devices, and this embodiment is applicable to multiple electrical enclosure data collected by multiple target electrical enclosure devices. Specifically referring to Table 1, the target electronic equipment with the electronic equipment identification of Elec_01 collected the user terminal with the terminal identification of IMSI_01 at 8:23 on August 1, 2020, and collected it at 8:25 on August 1, 2020 The user terminal whose terminal identifier is IMSI_02; the user terminal whose terminal identifier is IMSI_01 collected at 8:30 on August 1, 2020 by the target electrical enclosure device whose electrical enclosure equipment identifier is Elec_02, and the user terminal whose terminal identifier is IMSI_01 on August 1, 2020 8 : 35 The terminal identifier collected is the user terminal of IMSI_03; wherein, the user terminal of the terminal identifier of IMSI_01 is collected by two electrical peripheral equipment respectively at two time points, and the user terminal of the terminal identifier of IMSI_01 is first determined from the passing time. The target electric enclosure device with the electric enclosure device identification as Elec_01 is passed, and then the target electric enclosure device with the electric enclosure device identification as Elec_02 is passed, thereby delineating the moving path of the user terminal.

In addition, it should be noted that the passing time may be the time when the user terminal 01 enters the collection range of the target electrical enclosure device 03, or may be the time when the user terminal 01 leaves the collection range of the target electrical enclosure device 03. A time range consisting of entry time and exit time.

Since the volume of the electrical enclosure data is generally large and is in a real-time update state, when the electrical enclosure data is acquired by the traffic control data processing device 05 in the present application, it is acquired according to a time sequence queue with relative time, that is: The traffic management data processing device 05 sets an initial acquisition time and a non-initial acquisition time, the initial acquisition time may be local time (or absolute time), and the non-initial acquisition time is a relative time (that is, after the previous acquisition action, the interval preset time period, and perform the next acquisition); the traffic control data processing device 05 acquires the electrical enclosure data for the first time when the initial acquisition time arrives; and then acquires the electrical enclosure data sequentially according to the non-initial acquisition time surrounding data. For example: after setting the initial acquisition time to 8:00 local time, and setting the non-initial acquisition time to 30 minutes after the previous data acquisition action, subsequent data acquisition operations will be performed at 8:30, 9:00, 9:30 Data acquisition action. This embodiment can realize that when the local time is updated, only the initial acquisition time needs to be updated, and it is not necessary to update all the acquisition times, thereby reducing the operating burden of the device.

Step S202: Generate terminal matching data corresponding to the user terminal 01 according to the electrical enclosure data, where the terminal matching data includes the electrical enclosure device identifier, the terminal identifier, and the passing time.

It should be noted that, after the target electrical enclosure device 03 collects the electrical enclosure data, the electrical enclosure data may be stored in a database, and the traffic management data processing device 05 acquires the electrical enclosure data from the database. The process of obtaining the electrical enclosure data from the database by the traffic control data processing device 05 is performed in a flink manner, which can reduce the memory space requirements of the electrical enclosure data for the traffic control data processing device 05 and improve the The traffic control data processing device 05 acquires the fluency of the electrical enclosure data. At this time, the electrical enclosure data obtained by the traffic management data processing device 05 is only the original data obtained from the database, and the original data includes more electrical enclosure data collected by a plurality of the target electrical enclosure devices 03. Therefore, the raw data needs to be processed to form terminal matching data that is convenient for invocation.

In addition, it should be noted that, the process of converting the electrical enclosure data to generate the terminal matching data by the traffic management data processing device in this embodiment will be converted according to a time sequence queue with relative time, that is, for the traffic management The data processing device 05 sets an initial conversion time and a non-initial conversion time, the initial conversion time may be local time (or absolute time), and the non-initial conversion time is a relative time (that is, after the previous data conversion action, the interval is preset. Set a time period to perform the next data conversion); the traffic management data processing device 05 performs the first data conversion when the initial conversion time arrives; and then performs data conversion according to the non-initial conversion time sequence. For example: after setting the initial conversion time to 12:00 local time, and setting the non-initial conversion time to 5 minutes after the previous data conversion action, subsequent conversions will be performed at 12:05, 12:10, 12:15 Data transformation action. This embodiment can realize that when the local time is updated, only the initial conversion time needs to be updated, and it is not necessary to update all the data conversion times, thereby reducing the operating burden of the device.

Specifically, referring to FIG. 6 , the method for generating the terminal matching data corresponding to the user terminal according to the electrical enclosure data is a one-to-one mapping method, that is, the electrical enclosure device identifier, the terminal identifier and the via The time is respectively obtained through a preset function relationship to obtain the electrical enclosure device identification, terminal identifier and passing time of the terminal matching data; the process of retrieving the electrical enclosure data to generate the terminal matching data is performed in a flink manner, This method can reduce the memory space requirements of the traffic management data processing device 05 for the electrical enclosure data and the terminal matching data, and improve the smoothness of the traffic management data processing device 05 using the electrical enclosure data to generate the terminal matching data. wherein, the electrical enclosure device identification in the electrical enclosure data obtains the electrical enclosure equipment identifier in the terminal matching data through the function f11, and the terminal identifier in the electrical enclosure data obtains the terminal matching data through the function f12. The terminal identification of , the passing time in the electrical enclosure data obtains the passing time in the terminal matching data through the function f13. It should be noted that the process of generating the terminal matching data from the electrical enclosure data in a one-to-one mapping manner further includes classifying and combining the electrical enclosure data according to the electrical enclosure device identifier, for example: the electrical enclosure data The data groups in the data with the same electrical enclosure device identification will be combined into the same data column by one-to-one mapping, so as to facilitate separate analysis of the time longitudinal data collected by the same electrical enclosure device.

In an embodiment, after the step of generating the terminal matching data corresponding to the user terminal 01 according to the electrical enclosure data, the step further includes: traversing the terminal matching data, deleting the repeated terminal matching data; and traversing all the terminal matching data; The terminal matching data is deleted, and the terminal matching data missing the electrical enclosure device identifier and/or missing the terminal identifier and/or missing the passing time is deleted. It should be noted that the repeated terminal matching data refers to the repeated terminal matching data formed according to the data collection of the same user terminal by the same target electrical enclosure device for many times in a row. One of the terminal matching data is sufficient, and preferably the terminal matching data that appears latest is reserved. In this embodiment, duplicate data, invalid data and erroneous data in the terminal matching data can be excluded, so as to prevent these duplicate data, invalid data and erroneous data from adversely affecting subsequent data analysis results.

Step S203 , acquiring passing data, where the passing data includes the front-end device identification of the target front-end device 04 , the vehicle identification of the vehicle 02 passing through the target front-end device 04 , and the passing time.

Specifically, when the vehicle 02 passes through the collection range of the target front-end device 04, the vehicle identification of the vehicle 02 will be collected by the target front-end device 04, and the vehicle identification may be vehicle identification information consisting of a license plate color and a license plate number. The vehicle identification may also include information such as vehicle color, vehicle model, vehicle manufacturer, etc. It should be understood that the combination of the license plate color and license plate number of the vehicle 02 constitutes the unique identification information of the vehicle 02, and the target front-end device 04 Front-end camera for capture function. The target front-end device 04 itself has a front-end device identifier, and the front-end device identifier is the front-end device information retained when setting the front-end device 04, and it can include: front-end device coding, front-end device location information, front-end device data collection accuracy information, etc. Each of the target front-end devices 04 will store the collected vehicle ID of the vehicle 02, together with the passing time, with the front-end device ID of the target front-end device 04 as the first value, for example, the storage form of the target front-end device 04 can be is <front-end equipment identification, vehicle identification, passing time>, and these information can be saved in the form of data tables, as shown in Table 2:

Table 2

Front-end equipment identification	vehicle identification	transit time
Cam_01	Veh_01	August 1, 2020 8:23
Cam_01	Veh_02	August 1, 2020 8:25
Cam_02	Veh_01	August 1, 2020 8:30
Cam_02	Veh_03	August 1, 2020 8:35

It should be noted that Table 2 only shows part of the passing data collected by two target front-end devices, and this embodiment is applicable to multiple passing data collected by multiple target front-end devices. Specifically in Table 2, the target front-end device with the front-end device ID of Cam_01 collected the vehicle ID of Veh_01 at 8:23 on August 1, 2020, and the vehicle ID collected at 8:25 on August 1, 2020 The vehicle is Veh_02; the target front-end device with the front-end device identification of Cam_02 is the vehicle with the vehicle identification of Veh_01 collected at 8:30 on August 1, 2020, and the vehicle identification collected at 8:35 on August 1, 2020 It is the vehicle of Veh_03; among them, the vehicle with the vehicle identification Veh_01 is collected by the two target front-end devices at two time points. Judging from the passing time, the vehicle with the vehicle identification Veh_01 first passed the front-end equipment identified as Cam_01 The target The front-end device then passes through the target front-end device identified by the front-end device as Cam_02, thereby delineating the driving path of the vehicle.

In addition, it should be noted that the passing time may be the time when the vehicle 02 enters the collection range of the target front-end device 04, or may be the time when it leaves the collection range of the target front-end device 04, or may be determined by the entry time The time range composed of the departure time and the departure time may also be the time when the target front-end device 04 captures the vehicle 02 .

Since the amount of the passing data is generally large and is in a real-time update state, when the present application obtains the passing data through the traffic control data processing device 05, it can also be obtained according to a sequence queue with relative time, that is: Set an initial acquisition time and a non-initial acquisition time for the traffic control data processing device 05, the initial acquisition time may be local time (or absolute time), and the non-initial acquisition time is a relative time (that is, after the previous acquisition action , and perform the next acquisition at a preset time interval); the traffic control data processing device 05 acquires the passing data for the first time when the initial acquisition time arrives; car data. For example: after setting the initial acquisition time to 8:00 local time, and setting the non-initial acquisition time to 30 minutes after the previous data acquisition action, subsequent data acquisition operations will be performed at 8:30, 9:00, 9:30 Data acquisition action. This embodiment can realize that when the local time is updated, only the initial acquisition time needs to be updated, and it is not necessary to update all the acquisition times, thereby reducing the operating burden of the device.

In addition, when the traffic control data processing device 05 acquires the passing data, it can also be obtained according to a time sequence queue with complete relative time, that is, the traffic control data processing device 05 obtains the passing data at the same time The time when the traffic management data processing device 05 acquires the electrical enclosure data plus the time after a preset time period, for example: the traffic management data processing device 05 acquires the electrical enclosure data at 8:00, and a preset interval is set If the time period is 5 minutes, the time for the traffic control data processing device 05 to acquire the passing data is 8:05. This embodiment can realize that when the local time is updated, the passing data acquisition time and the electric enclosure data acquisition time only need to be updated once the initial acquisition time, which further reduces the operating burden of the equipment.

Step S204 , generating vehicle matching data corresponding to the vehicle 02 according to the passing data, where the vehicle matching data includes the front-end device identification, the vehicle identification, and the passing time.

It should be noted that after the target front-end device 04 collects the passing data, the passing data may be stored in a database, and the traffic control data processing device 05 obtains the passing data from the database ; The process that the traffic control data processing device 05 obtains the passing data from the database adopts the flink method, which can reduce the memory space requirements of the traffic control data processing device 05 by the passing data, and improve the The traffic control data processing device 05 obtains the smoothness of the passing data. At this time, the passing data obtained by the traffic control data processing device 05 is only the original data obtained from the database, and the original data includes more passing data collected by the target front-end equipment 04. Therefore, The raw data needs to be processed to form vehicle matching data that is easy to call.

In addition, it should be noted that the process of converting the passing data to the vehicle matching data by the traffic control data processing device 05 in this embodiment can also be converted according to a time sequence queue with relative time, that is: for the The traffic management data processing device 05 sets an initial conversion time and a non-initial conversion time, the initial conversion time may be local time (or absolute time), and the non-initial conversion time is a relative time (that is, after the previous conversion action, the interval Set a time period, and perform the next conversion); the traffic control data processing device 05 converts the passing data for the first time when the initial conversion time arrives; then converts the passing data according to the non-initial conversion time sequence data. For example: after setting the initial conversion time to 12:00 local time, and setting the non-initial conversion time to 5 minutes after the previous data conversion action, subsequent conversions will be performed at 12:05, 12:10, 12:15 Data transformation action. This embodiment can realize: when the local time is updated, only the initial conversion time needs to be updated, and all the conversion times need not be updated, which reduces the operating burden of the device.

In addition, when the traffic control data processing device 05 converts the passing data, it can also perform the conversion according to a time sequence queue with complete relative time, that is, the traffic control data processing device 05 converts the passing data at the same time The time when the traffic management data processing device 05 converts the electrical enclosure data plus the time after a preset time period, for example: the traffic management data processing device 05 converts the electrical enclosure data at 8:00, set a preset interval If the time period is 5 minutes, the time for the traffic control data processing device 05 to convert the passing data is 8:05. This embodiment can realize that when the local time is updated, the passing data conversion time and the electric range data conversion time only need to be updated once the initial conversion time, which further reduces the operating burden of the equipment.

Specifically, referring to FIG. 7 , the method for generating the vehicle matching data corresponding to the vehicle 02 according to the passing data is a one-to-one mapping method, that is, the front-end device identification, the vehicle identification and the passing vehicle in the passing data The front-end device identification, vehicle identification and passing time of the vehicle matching data are obtained in a one-to-one correspondence through the preset function relationship; This method can reduce the memory space requirements of the traffic control data processing device 05 for the passing data and the vehicle matching data, and improve the smoothness of the traffic control data processing device 05 using the passing data to generate the vehicle matching data. wherein, the front-end device identification in the vehicle passing data obtains the front-end device identification in the vehicle matching data through the function f21, and the vehicle identification in the passing data obtains the vehicle in the vehicle matching data through the function f22 identification, the passing time in the passing data is obtained through the function f23 to obtain the passing time in the vehicle matching data. It should be noted that the process of generating the vehicle matching data from the passing data in a one-to-one mapping manner further includes classifying and combining the passing data according to the front-end device identifier, for example: the passing data The data groups with the same front-end device identification in the data set will be combined into the same data column by one-to-one mapping, so as to facilitate separate analysis of the time longitudinal data collected by the same target front-end device.

In an embodiment, after the step of generating the vehicle matching data corresponding to the vehicle 02 according to the passing data, the step further includes: traversing the vehicle matching data, and deleting the repeated vehicle matching data; and Traverse the vehicle matching data, and delete the vehicle matching data missing the front-end device identification and/or the vehicle identification and/or the passing time. It should be noted that the repeated vehicle matching data refers to the repeated vehicle matching data formed according to the data collection of the same vehicle by the same target front-end device for multiple consecutive times. At this time, only one of them needs to be kept. The vehicle matching data can be used. In this embodiment, duplicate data, invalid data and erroneous data in the vehicle matching data can be excluded, so as to prevent these duplicate data, invalid data and erroneous data from adversely affecting subsequent data analysis results.

Step S205: Determine the distance between the target electrical enclosure and the target front-end device according to the location data of the target electrical enclosure and the target front-end equipment, and determine the distance between the target electrical enclosure and the target electrical enclosure according to the target electrical enclosure and the target electrical enclosure. The distance between the target front-end devices determines the spatial association relationship between the electrical enclosure device identification and the front-end device identification.

It should be noted that the spatial correlation between the electrical enclosure device identification and the front-end device identifier refers to: a space-based relationship established through the connection between the setting location of the target electrical enclosure device 03 and the setting location of the target front-end device 04 The connection between the devices at the location, because the target electric enclosure device 03 corresponds to the unique electric enclosure device identification, and the target front-end device 04 corresponds to the unique front-end equipment identification, so the connection between the electric enclosure equipment identification and the front-end equipment identification is also established. Spatial relationship.

Specifically, referring to FIG. 3 , the step of establishing the spatial association between the electrical peripheral equipment identification and the front-end equipment identification includes:

Acquire the location data of the target electronic enclosure device 03 and acquire the location data of the target front-end device 04 . It should be noted that the location data of the target electrical enclosure device 03 is the location information retained when the target electrical enclosure device 03 is set, which can be the location information of the geographic location code combined with the relative distance value, for example: a certain target electrical enclosure The location data of the surrounding equipment is Adr001_20, which indicates that the target electric surrounding equipment is set at a position 20 meters away from the location with the geographic location code Adr_001 along the preset direction; optionally, the location of the geographic location code Adr_001 can be set For the position of the support rod of the traffic signal light in road traffic, the preset direction may be a direction from the position of the support rod to the middle area of the road. The location data of the target front-end device 04 is the location information retained when the target front-end device 04 is set, it can also be the location information of the geographic location code combined with the relative distance value, for example: the location data of a certain target front-end device is Adr001_23 , which means that the target front-end device is set at a position 23 meters away from the location with the geographic location code Adr_001 along the preset direction; The position where the support rod is located, and the preset direction may be a direction from the position where the support rod is located to the middle area of the road. Therefore, through the position data of the target electric enclosure device 03 and the position data of the target front-end device 04, the relative distance between the target electric enclosure device 03 and the target front-end device 04 can be obtained. Optionally, the location data of the target electrical enclosure device 03 and the location data of the target front-end device 04 are pre-stored in a database and can be called by the traffic management data processing device 05 at any time.

According to the position data of the target electric enclosure device 03 and the position data of the target front-end device 04 , the distance between the target electric enclosure device 03 and the target front-end device 04 is determined. The specific steps are: making the difference between the position data of the target electric enclosure device 03 and the position data of the target front-end device 04 to obtain the distance between the target electric enclosure device 03 and the target front-end device 04. For example, the position data of the target electric enclosure device is: Adr001_20, the location data of the target front-end equipment is Adr001_23, at this time, the location data of the target electric peripheral equipment and the location data of the target front-end equipment are both based on the location whose geographic location code is Adr_001 as the reference point, and the relative distance value can be directly obtained by taking the difference of the relative distance value. The distance between the electric enclosure equipment and the target front-end equipment, namely: 23-20=3 (meters); in addition, when the location data of the target electric enclosure equipment and the location data of the target front-end equipment have different geographic location reference points, it is possible to directly The distance between the geographical location reference point of the target electrical enclosure device and the geographic location reference point of the target front-end device is taken as the distance between the target electrical enclosure device and the target front-end device.

Determine whether the distance between the target electronic enclosure device 03 and the target front-end device 04 is less than or equal to the first threshold; the distance between the target electronic peripheral device 03 and the target front-end device 04 is less than or equal to the When the first threshold is reached, a spatial association relationship between the electrical enclosure device identifier and the front-end device identifier is established; otherwise, it is determined that there is no correlation between the electrical enclosure device identifier and the front-end device identifier. For example, when the first threshold is 5 meters, the location data of the target electric enclosure device is Adr001_20, the location data of the target front-end device is Adr001_23, and the distance between the target electric enclosure device and the target front-end device is 3 meters. is less than the first threshold, so a spatial association relationship between the electrical enclosure device identifier of the target electrical enclosure device and the front-end device identifier of the target front-end device is established. Optionally, the first threshold may be a value determined according to the relative relationship between the data collection range of the target electronic peripheral device 03 and the data collection range of the target front-end device 04 .

It should be noted that the establishment of the spatial association relationship between the electronic enclosure device identification and the front-end device identification is to form an associated device group consisting of the target electronic peripheral device 03 and the target front-end device 04, and the device The data collected by the group can be linked through the spatial association relationship between the electrical enclosure device identification and the front-end device identification, so as to facilitate subsequent data integration and analysis. In this embodiment, based on the spatial positional relationship between the target electronic enclosure device and the target front-end device, the method for establishing the spatial relationship between the electronic enclosure device identification and the front-end device identification has greater flexibility and operability, and the method The method is beneficial to improve the speed and accuracy of establishing the associated equipment group, improve the randomness and convenience of establishing the associated equipment group, and overcome the problem that the existing equipment association is limited by the area.

Step S206, according to the spatial correlation between the electric enclosure device identification and the front-end device identification, and the time correlation between the passing time and the passing time, determine the distance between the vehicle 02 and the user terminal 01 space-time relationship.

In an embodiment, referring to FIG. 4 , the step of establishing the time correlation between the passing time and the passing time includes:

The valid time range is determined according to the time error between the target electric peripheral device 03 and the target front-end device 04 and the passing time. The specific steps include: determining the time error according to the response accuracy of the target electric peripheral device 03 and the response accuracy of the target front-end device 04; taking the passing time as the center time, subtracting the center time from the center time The start time is obtained from the time error, and the end time is obtained by adding the central time to the time error; the effective time range is determined by the start time and the end time. It should be noted that the response accuracy of the target electronic enclosure device 03 is based on the start time when the target electronic enclosure device 03 collects the information of the user terminal 01 entering its collection range.

To determine, the response accuracy of the target electronic enclosure 03 is an inherent property of the target electronic enclosure 03, and different target electronic enclosures 03 may have different response accuracy; the response accuracy of the target front-end device 04 is based on the target front-end device 04. The response accuracy of the target front-end device 04 is an inherent attribute of the target front-end device 04, and different target front-end devices 04 may have different response accuracy. Optionally, the response accuracy of the target electronic peripheral device 03 and the response accuracy of the target front-end device 04 can be represented by time; the time error can be the response accuracy of the target electronic peripheral device 03 and the The difference in the response accuracy of the target front end device 04.

Determine whether the passing time is within the valid time range; when the passing time is within the valid time range, establish a time correlation between the passing time and the passing time; otherwise, determine that the passing time There is no correlation between the time and the transit time. It should be understood that when the time correlation between the passing time and the passing time is established, it means that the user terminal 01 and the vehicle 02 pass through the target electric peripheral device 03 and the target front end respectively within the valid time range The device 04 also indicates the possibility of an association between the user terminal 01 and the vehicle 02 .

In this embodiment, the passing time is used as the central time for determining the valid time, and by comparing whether the passing time is within the valid time range, it is then determined whether there is a gap between the passing time and the passing time time relationship.

In an embodiment, referring to FIG. 5 , the step of establishing the time correlation between the passing time and the passing time includes:

The valid time range is determined according to the time error between the target electronic peripheral device 03 and the target front-end device 04 and the passing time. The specific steps include: determining the time error according to the response accuracy of the target electronic peripheral device 03 and the response accuracy of the target front-end device 04; taking the transit time as the center time, and subtracting the time from the center time The start time is obtained from the error, and the center time is added to the time error to obtain the end time; the effective time range is determined by the start time and the end time. It should be noted that the response accuracy of the target electronic enclosure device 03 is based on the start time when the target electronic enclosure device 03 collects the information of the user terminal 01 entering its collection range.

To determine, the response accuracy of the target electronic enclosure 03 is an inherent property of the target electronic enclosure 03, and different target electronic enclosures 03 may have different response accuracy; the response accuracy of the target front-end device 04 is based on the target front-end device 04. The response accuracy of the target front-end device 04 is an inherent attribute of the target front-end device 04, and different target front-end devices 04 may have different response accuracy. Optionally, the response accuracy of the target electronic peripheral device 03 and the response accuracy of the target front-end device 04 can be represented by time; the time error can be the response accuracy of the target electronic peripheral device 03 and the The difference in the response accuracy of the target front end device 04.

Determine whether the passing time is within the valid time range; when the passing time is within the valid time range, establish a time correlation between the passing time and the passing time; There is no correlation between the passing time and the passing time. It should be understood that when the time correlation between the passing time and the passing time is established, it means that the vehicle 02 and the user terminal 01 pass through the target front-end device 04 and the target electric enclosure respectively within the valid time range. The device 03 also indicates the possibility of an association between the user terminal 01 and the vehicle 02 .

In this embodiment, the passing time is used as the central time for determining the valid time, and by comparing whether the passing time is within the valid time range, it is further determined whether there is a gap between the passing time and the passing time time relationship.

Step S207: Determine the user terminal corresponding to the vehicle according to the space-time correlation between the vehicle 02 and the user terminal 01.

The specific steps include: acquiring the number of times the space-time relationship occurs between the vehicle 02 and the user terminal 01, and recording it as the number of collisions; judging whether the number of collisions is greater than or equal to a second threshold; when the number of collisions is greater than or equal to a second threshold When it is equal to or equal to the second threshold, it is determined that the vehicle 02 corresponds to the user terminal 03 .

It should be noted that the spatiotemporal relationship between the vehicle 02 and the user terminal 01 can be established through step S205, but the establishment of the spatiotemporal relationship only once cannot fully determine the vehicle 02 and the user terminal 01 There is an association between the vehicle 02 and the user terminal 01, which can only indicate that there is a possible association between the vehicle 02 and the user terminal 01; only after the establishment of the space-time association for many times, can the relationship between the vehicle 02 and the user terminal 01 be determined. There is a relationship between. For example, when the second threshold is 3, only when the number of collisions is greater than or equal to 3, can it be determined that there is an association between the vehicle 02 and the user terminal 01, and the greater the number of collisions, the higher the number of collisions. The greater the possibility of association between the vehicle 02 and the user terminal 01 is.

The method for determining the number of collisions will be described below: from the introduction of the above embodiment, it can be known that the method for determining the group of associated devices is based on the spatial association relationship between the target electrical peripheral device 03 and the target front-end device 04. It is determined that the associated equipment group includes at least the target electrical enclosure equipment 03 and the target front-end equipment 04; a plurality of the associated equipment groups are set in traffic roads or in parks and cells, and the number of collisions is related to the number of collisions used to determine the The number of the associated device groups in which the spatiotemporal association relationship appears between the vehicle 02 and the user terminal 01 is equal, for example, when the vehicle and the user terminal pass through three of the associated device groups in sequence, and each The electric enclosure data and vehicle passing data collected by the group can establish a temporal and spatial relationship between the vehicle and the user terminal, and the number of collisions is equal to the number of the associated device groups, which is 3.

In an embodiment, after the step of determining the user terminal corresponding to the vehicle according to the space-time relationship between the vehicle 02 and the user terminal 01, the step further includes: establishing that the vehicle 02 corresponds to the user terminal The confidence level of 01; when the space-time correlation relationship occurs between the vehicle 02 and the user terminal 01, the value of the confidence level is increased. For example, when the space-time relationship between the vehicle 02 and the user terminal 01 appears for the first time, the confidence value is set to 10; when the space-time relationship appears for the second time, set the confidence value to 10. The value of the confidence level is increased to 20, and so on; when the value of the confidence level is greater than or equal to 30, it can be further determined that the vehicle corresponds to the user terminal. It should be noted that the confidence level is a quantitative index for judging that there is a corresponding relationship between the vehicle and the user terminal. The greater the possibility of correspondence.

To sum up, the traffic control data processing method provided by the embodiment of the present application is based on the spatial correlation between the electric enclosure equipment identification of the target electric enclosure equipment and the front-end equipment identification of the target front-end equipment, as well as the passing time of the user terminal and the passing time of the vehicle. The time-related relationship between the vehicle and the user terminal is determined, and the user terminal corresponding to the vehicle is further determined. The traffic control data processing method can establish an association relationship between the electric enclosure data and the passing data, and determine the corresponding relationship between the vehicle and the user terminal through the association relationship, so as to find a specific user terminal through the vehicle, and through the user terminal. The terminal finds a specific vehicle and provides important technical support for crime fighting and inspection personnel.

Based on the above traffic control data processing method, an embodiment of the present application further provides a traffic control data processing device. Please refer to FIG. 8 and FIG. 1 , wherein FIG. 8 is a schematic structural diagram of a traffic management data processing apparatus provided by an embodiment of the present application. The traffic management data processing device 05 includes a first acquisition module 501 , a first mapping module 502 , a second acquisition module 503 , a second mapping module 504 and a determination module 505 .

The first acquiring module 501 is configured to acquire electrical enclosure data, where the electrical enclosure data includes an electrical enclosure device identifier of a target electrical enclosure device 03 , a terminal identifier of a user terminal 01 passing through the target electrical enclosure device 03 , and a passing time.

The first mapping module 502 is configured to generate terminal matching data corresponding to the user terminal 01 according to the electrical enclosure data, where the terminal matching data includes the electrical enclosure device identifier, the terminal identifier, and the passing time.

The second acquisition module 503 is used to acquire passing data, the passing data includes the front-end device identifier of the target front-end device 04 , the vehicle identifier of the vehicle 02 passing through the target front-end device 04 , and the passing time.

The second mapping module 504 is configured to generate vehicle matching data corresponding to the vehicle 02 according to the passing data, where the vehicle matching data includes the front-end device identification, the vehicle identification and the passing time.

The determining module 505 is configured to determine the distance between the target electric enclosure device 03 and the target front-end device 04 according to the position data of the target electric enclosure device 03 and the position data of the target front-end device 04, and according to The distance between the target electronic enclosure device 03 and the target front-end device 04 determines the spatial relationship between the electronic peripheral device identification and the front-end device identification.

The determination module 505 is further configured to determine the vehicle 02 and the The spatiotemporal relationship between user terminals 01.

The determining module 505 is further configured to determine the user terminal corresponding to the vehicle according to the temporal and spatial relationship between the vehicle 02 and the user terminal 01 .

In an embodiment, the first obtaining module 501 is further configured to obtain the position data of the target electronic peripheral device 03; the second obtaining module 503 is further configured to obtain the position data of the target front-end device 04; The determining module 505 is further configured to determine the distance between the target electrical enclosure device 03 and the target front-end device 04 according to the position data of the target electrical enclosure device 03 and the location data of the target front-end device 04, And determine whether the distance between the target electronic enclosure device 03 and the target front-end device 04 is less than or equal to the first threshold, and the distance between the target electronic enclosure device 03 and the target front-end device 04 is less than or equal to When the first threshold is reached, a spatial association relationship between the electronic peripheral device identification and the front-end device identification is established.

In an embodiment, the determining module 505 is further configured to determine the valid time range according to the time error between the target electric peripheral device 03 and the target front-end device 04 and the passing time; Whether the passing time is within the valid time range, and when the passing time is within the valid time range, establish a time correlation between the passing time and the passing time.

In an embodiment, the determining module 505 is further configured to determine the time error according to the response accuracy of the target electric peripheral device 03 and the response accuracy of the target front-end device 04, and the passing time is central time, the central time minus the time error to obtain the start time, and the central time plus the time error to obtain the end time; and used to determine the effective time with the start time and the end time Scope.

In an embodiment, the determining module 505 is further configured to acquire the number of times the space-time correlation relationship occurs between the vehicle 02 and the user terminal 01, and record it as the number of collisions; and is used to determine the number of collisions Whether it is greater than or equal to a second threshold, when the number of collisions is greater than or equal to the second threshold, it is determined that the vehicle corresponds to the user terminal.

In an embodiment, the determination module 505 is further configured to establish a confidence level that the vehicle 02 corresponds to the user terminal 01 , when the spatiotemporal association relationship occurs between the vehicle 02 and the user terminal 01 , increasing the confidence value.

In an embodiment, the first mapping module 502 uses a one-to-one mapping method to map the electrical enclosure data to generate the terminal matching data; the second mapping module 504 uses a one-to-one mapping method to map The passing data mapping generates the vehicle matching data.

In an embodiment, the determining module 505 is further configured to traverse the terminal matching data, delete the repeated terminal matching data, and delete the missing electrical enclosure device identifier and/or the missing terminal identifier and /or the terminal matching data of the transit time is missing.

In one embodiment, the determining module 505 is further configured to traverse the vehicle matching data, delete the repeated vehicle matching data, and delete the missing front-end equipment identifier and/or the missing vehicle identifier and/or Or the vehicle matching data of the passing time is missing.

An embodiment of the present application further provides a computer device, where the computer device may include the traffic management data processing apparatus provided in the above embodiment, and an internal structure diagram thereof may be as shown in FIG. 9 . The computer equipment includes a processor, memory, a communication interface, a display screen, and an input device connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium, an internal memory. The nonvolatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for wired or wireless communication with an external terminal, and the wireless communication can be realized by WIFI, operator network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, the method for processing traffic management data described in the above embodiments is realized. The display screen of the computer equipment may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment may be a touch layer covered on the display screen, or a button, a trackball or a touchpad set on the shell of the computer equipment , or an external keyboard, trackpad, or mouse.

Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or completed by instructions that control relevant hardware, and the instructions can be stored in a computer-readable storage medium, and loaded and executed by the processor.

To this end, an embodiment of the present application provides a storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to realize the following functions:

Obtain electrical enclosure data, where the electrical enclosure data includes an electrical enclosure device identifier of a target electrical enclosure device, a terminal identifier of a user terminal that passes through the target electrical enclosure device, and a passing time; generate a corresponding user terminal according to the electrical enclosure data terminal matching data, the terminal matching data includes the identification of the electrical equipment, the identification of the terminal and the passing time; the passing data is obtained, and the passing data includes the identification of the front-end equipment of the target Vehicle identification and passing time of the vehicle of the target front-end device; vehicle matching data corresponding to the vehicle is generated according to the passing data, and the vehicle matching data includes the identification of the front-end device, the vehicle identification, and the passing vehicle time; according to the spatial correlation relationship between the electric enclosure device identification and the front-end device identification, and the time correlation relationship between the passing time and the passing time, determine the space-time correlation between the vehicle and the user terminal relationship; according to the space-time correlation between the vehicle and the user terminal, determine the user terminal corresponding to the vehicle.

Wherein, the storage medium may include: a read-only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and the like.

Since the instructions stored in the storage medium can execute the steps in any method provided by the embodiments of the present application, the beneficial effects that can be achieved by any of the methods provided by the embodiments of the present application can be achieved. See the previous embodiments, which will not be repeated here.

It should be noted that although the present application discloses the above with specific embodiments, the above-mentioned embodiments are not intended to limit the present application. Those of ordinary skill in the art can make various modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of this application is subject to the scope defined by the claims.

Claims (20)

1. A traffic management data processing method, comprising:

   The battery data is obtained according to the time marked by the first time sequence queue, and the battery data includes the battery device identifier of the target battery device, the terminal identifier of the user terminal passing through the target battery device, and the passing time. a sequence queue includes an initial acquisition time and a non-initial acquisition time, the initial acquisition time includes an absolute time, and the non-initial acquisition time includes a relative time relative to the absolute time;

   Generate terminal matching data corresponding to the user terminal according to the electrical enclosure data, where the terminal matching data includes the electrical enclosure device identifier, the terminal identifier, and the passing time;

   The passing data is obtained according to the time set by the second time sequence queue, and the passing data includes the front end device identification of the target front end device, the vehicle identification of the vehicle passing through the target front end device, and the passing time. The second time sequence queue including a complete relative time relative to the time demarcated by the first timing queue;

   Generate vehicle matching data corresponding to the vehicle according to the passing data, where the vehicle matching data includes the front-end device identification, the vehicle identification, and the passing time;

   The distance between the target electric enclosure and the target front-end device is determined according to the position data of the target electric enclosure and the position data of the target front-end device, and the distance between the target electric enclosure and the target front-end is determined according to the position data of the target electric enclosure and the target front-end The distance between the devices determines the spatial association relationship between the electrical peripheral device identification and the front-end device identification;

   According to the spatial correlation relationship between the electric enclosure device identification and the front-end device identification, and the time correlation relationship between the passing time and the passing time, determine the space-time correlation relationship between the vehicle and the user terminal;

   The user terminal corresponding to the vehicle is determined according to the space-time correlation between the vehicle and the user terminal.
2. The traffic control data processing method according to claim 1, wherein the step of acquiring the electrical enclosure data according to the time demarcated by the first time sequence queue comprises:

   When the initial acquisition time arrives, acquire the electrical enclosure data for the first time;

   When the non-initial acquisition time arrives, the electrical enclosure data is acquired in sequence.
3. The traffic control data processing method according to claim 1, wherein the step of acquiring the passing data according to the time demarcated by the second time series queue comprises:

   determining the acquisition time of the electrical enclosure data;

   determining the second time sequence queue according to the acquisition time of the electrical enclosure data;

   When the time set by the second time sequence queue arrives, the passing data is acquired.
4. The traffic management data processing method according to claim 1, wherein the determining the distance between the target electric enclosure device and the target front-end device according to the position data of the target electric enclosure device and the position data of the target front-end device The steps of determining the spatial association relationship between the electrical enclosure device identifier and the front-end device identifier according to the distance between the target electrical enclosure device and the target front-end device include:

   obtaining location data of the target electrical enclosure;

   obtaining the location data of the target front-end device;

   According to the position data of the target electric enclosure equipment and the position data of the target front-end equipment, determine the distance between the target electric enclosure equipment and the target front-end equipment;

   judging whether the distance between the target electrical enclosure device and the target front-end device is less than or equal to a first threshold;

   When the distance between the target electronic peripheral device and the target front-end device is less than or equal to the first threshold, a spatial association relationship between the electronic peripheral device identification and the front-end device identification is established.
5. The traffic control data processing method according to claim 4, wherein after the step of judging whether the distance between the target electrical enclosure device and the target front-end device is less than or equal to a first threshold, the method further comprises:

   judging whether the distance between the target electrical enclosure device and the target front-end device is greater than the first threshold;

   When the distance between the target electronic peripheral device and the target front-end device is greater than the first threshold, it is determined that the electronic peripheral device identification is not associated with the front-end device identification.
6. The traffic control data processing method according to claim 1, wherein the step of establishing a time correlation between the passing time and the passing time comprises:

   Determine the effective time range according to the time error between the target electric enclosure device and the target front-end device and the passing time;

   Judging whether the passing time is within the valid time range;

   When the passing time is within the valid time range, a time association relationship between the passing time and the passing time is established.
7. The traffic control data processing method according to claim 6, wherein after the step of judging whether the passing time is within the valid time range, further comprising:

   Judging whether the passing time is outside the valid time range;

   When the passing time is outside the valid time range, it is determined that the passing time is not related to the passing time.
8. The traffic control data processing method according to claim 6, wherein the step of determining an effective time range according to the time error between the target electric enclosure device and the target front-end device and the passing time includes:

   determining the time error according to the response accuracy of the target electronic peripheral device and the response accuracy of the target front-end device;

   Taking the passing time as the central time, the central time minus the time error obtains the start time, and the central time adds the time error to obtain the termination time;

   The valid time range is determined by the start time and the end time.
9. The traffic control data processing method according to claim 1, wherein the step of establishing a time correlation between the passing time and the passing time comprises:

   Determine the effective time range according to the time error and the passing time between the target electrical enclosure device and the target front-end device;

   Determine whether the passing time is within the valid time range;

   When the passing time is within the valid time range, a time association relationship between the passing time and the passing time is established.
10. The traffic control data processing method according to claim 9, wherein after the step of judging whether the passing time is within the valid time range, further comprising:

    Determine whether the passing time is outside the valid time range;

    When the passing time is outside the valid time range, it is determined that the passing time is not related to the passing time.
11. The traffic control data processing method according to claim 9, wherein the step of determining an effective time range according to the time error between the target electrical enclosure device and the target front-end device and the passing time comprises:

    determining the time error according to the response accuracy of the target electronic peripheral device and the response accuracy of the target front-end device;

    Taking the passing time as the central time, subtracting the time error from the central time to obtain the start time, and adding the time error to the central time to obtain the end time;

    The valid time range is determined by the start time and the end time.
12. The traffic control data processing method according to claim 1, wherein the step of determining the user terminal corresponding to the vehicle according to the temporal and spatial relationship between the vehicle and the user terminal comprises:

    Acquire the number of times that the space-time relationship occurs between the vehicle and the user terminal, and record it as the number of collisions;

    judging whether the number of collisions is greater than or equal to a second threshold;

    When the number of collisions is greater than or equal to the second threshold, it is determined that the vehicle corresponds to the user terminal.
13. The traffic control data processing method according to claim 1, wherein after the step of determining the user terminal corresponding to the vehicle according to the temporal and spatial relationship between the vehicle and the user terminal, the method further comprises:

    establishing a confidence level that the vehicle corresponds to the user terminal;

    When the space-time correlation relationship occurs between the vehicle and the user terminal, the value of the confidence level is increased.
14. The traffic control data processing method according to claim 1, wherein the step of generating the terminal matching data corresponding to the user terminal according to the electrical enclosure data comprises:

    The terminal matching data is generated by mapping the electrical enclosure data in a one-to-one mapping manner.
15. The traffic control data processing method according to claim 1, wherein the step of generating the vehicle matching data corresponding to the vehicle according to the passing data comprises:

    The vehicle matching data is generated by mapping the passing data in a one-to-one mapping manner.
16. The traffic control data processing method according to claim 1, wherein after the step of generating the terminal matching data corresponding to the user terminal according to the electrical enclosure data, the method further comprises:

    Traverse the terminal matching data;

    The repeated occurrence of the terminal matching data is deleted.
17. The traffic control data processing method according to claim 1, wherein after the step of generating the terminal matching data corresponding to the user terminal according to the electrical enclosure data, the method further comprises:

    Traverse the terminal matching data;

    Deleting the terminal matching data missing the electrical enclosure identification and/or the terminal identification and/or the passing time.
18. The traffic control data processing method according to claim 1, wherein after the step of generating the vehicle matching data corresponding to the vehicle according to the passing data, the method further comprises:

    Traverse the vehicle matching data;

    Duplicate occurrences of the vehicle matching data are deleted.
19. The traffic control data processing method according to claim 1, wherein after the step of generating the vehicle matching data corresponding to the vehicle according to the passing data, the method further comprises:

    Traverse the vehicle matching data;

    Deleting the vehicle matching data missing the front-end device identification and/or the vehicle identification and/or the passing time.
20. A traffic management data processing device, comprising:

    a first acquisition module, configured to acquire electrical enclosure data according to the time demarcated by the first time sequence queue, the electrical enclosure data includes an electrical enclosure device identifier of a target electrical enclosure device, and a terminal identifier of a user terminal passing through the target electrical enclosure device and by time, the first sequential queue includes an initial acquisition time and a non-initial acquisition time, the initial acquisition time includes an absolute time, and the non-initial acquisition time includes a relative time with respect to the absolute time;

    a first mapping module, configured to generate terminal matching data corresponding to the user terminal according to the electrical enclosure data, where the terminal matching data includes the electrical enclosure device identifier, the terminal identifier, and the passing time;

    The second acquisition module is configured to acquire passing data according to the time set by the second time sequence queue, where the passing data includes the front-end device identification of the target front-end device, the vehicle identification of the vehicle passing through the target front-end device, and the passing time , the second sequence queue includes a complete relative time relative to the time demarcated by the first sequence queue;

    a second mapping module, configured to generate vehicle matching data corresponding to the vehicle according to the passing data, where the vehicle matching data includes the front-end device identification, the vehicle identification and the passing time;

    A determination module, configured to determine the distance between the target electric enclosure device and the target front-end device according to the position data of the target electric enclosure device and the position data of the target front-end device, and determine the distance between the target electric enclosure device and the target front-end device according to the target electric enclosure device The distance between the target front-end device and the target front-end device determines the spatial association between the electrical enclosure device identifier and the front-end device identifier;

    The determination module is further configured to determine the vehicle and the user terminal according to the spatial correlation relationship between the electric peripheral device identification and the front-end device identification, and the time correlation relationship between the passing time and the passing time. The spatial and temporal relationship between them;

    The determining module is further configured to determine the user terminal corresponding to the vehicle according to the space-time correlation between the vehicle and the user terminal.

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