CN112396830A - Method and system for providing vehicle passing data fast query and application - Google Patents
Method and system for providing vehicle passing data fast query and application Download PDFInfo
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- CN112396830A CN112396830A CN202011143069.1A CN202011143069A CN112396830A CN 112396830 A CN112396830 A CN 112396830A CN 202011143069 A CN202011143069 A CN 202011143069A CN 112396830 A CN112396830 A CN 112396830A
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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Abstract
A method and a system for providing vehicle passing data fast query and application are provided, the method comprises: the method comprises the steps of obtaining gate data, and converging the gate data to a big data platform, wherein the gate data comprise vehicle passing data, the vehicle passing data comprise vehicle attributes, and further comprise gate equipment information and passing time of passing vehicles; setting an inquiry task, wherein the inquiry task comprises target vehicle attributes, a time range and a gate device; and inquiring vehicle passing data matched with the query task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the query task. The invention is specially used for the application of the bayonet vehicle passing data, can quickly inquire the vehicle passing data, analyzes the data and generates the alarm information when the target vehicle appears.
Description
Technical Field
The invention relates to the field of big data application, in particular to a method and a system for providing quick query and application of vehicle passing data.
Background
In the construction of smart cities, a large amount of checkpoint data have been accumulated at present, the coverage of checkpoints in various places is continuously enlarged, and the layout is continuously optimized. Considering that about 50% of all cases are cases involving driving, a vehicle detection method and a system capable of quickly inquiring vehicle data and researching, judging and analyzing are needed.
Disclosure of Invention
In view of the technical defects and technical drawbacks in the prior art, embodiments of the present invention provide a method and a system for providing quick query and application of vehicle passing data, which overcome the above problems or at least partially solve the above problems, and the specific scheme is as follows:
as a first aspect of the present invention, there is provided a method for providing fast query and application of vehicle passing data, the method comprising:
step 1, obtaining gate data, and converging the gate data to a big data platform, wherein the gate data comprises vehicle passing data, the vehicle passing data comprises vehicle attributes, and also comprises gate equipment information and passing time for a vehicle to pass;
step 2, setting an inquiry task, wherein the inquiry task comprises target vehicle attributes, a time range and a gate device;
and 3, inquiring the passing data matched with the inquiry task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the inquiry task, and sending out alarm information based on an inquiry result.
Further, the vehicle attributes comprise a vehicle picture, a license plate color, a license plate number, a vehicle color, a vehicle brand, a vehicle model and whether a pendant exists; the target vehicle attributes include one or more of vehicle picture, license plate color, license plate number, vehicle color, vehicle make, vehicle model, and presence or absence of a pendant.
Further, the step of querying the vehicle passing data matched with the query task in the big data platform specifically comprises the following steps:
and selecting a target vehicle attribute, a gate device, a start time and an end time as a combined condition to create a region collision task, setting a condition threshold number of the collision task, executing region collision task analysis by the big data platform through passing vehicle data of gate data, and judging that the passing vehicle data which reaches the condition threshold number and meets the target vehicle attribute set by the region collision task meets the region collision task.
Further, the big data platform is built based on the elastic search + spark, and the acquisition of the bayonet data specifically comprises: and (4) writing the real-time bayonet data into the kafka by the bayonet equipment manufacturer, and converging the real-time bayonet data by the large data platform through butting the kafka.
Further, the method further comprises: and the big data platform performs data analysis by using spark, and analyzing the task state into execution, no result, result and execution failure according to whether the regional collision task is executed and whether the result exists.
Furthermore, the method further comprises the steps of setting a viewing page on the big data platform, and viewing detailed vehicle passing data corresponding to the collision task of the checkpoint region through the viewing page, namely viewing a result generated by the collision task of the checkpoint region.
Further, the method comprises the steps of determining whether the target vehicle attribute in the query task is correct or not, and whether the selected gate device and the time range exceed the limits or not, and if the target vehicle attribute in the query task is correct and the selected gate device and the time range are both within the limits, packaging the query task as a parameter of a query elastic search; and querying a big data platform by using the packaged parameters, and rapidly querying the passing data which accords with the parameters by using the big data platform.
And further, after the vehicle passing data meeting the parameters are obtained, performing data conversion on the vehicle passing data meeting the parameters, wherein the data conversion comprises code table conversion, converting codes of target vehicle attributes stored in the elastic search into corresponding Chinese, expanding corresponding bayonet device information according to the bayonet device codes, and finally displaying the converted data through a front end page.
As a second aspect of the present invention, there is provided a system for providing quick query and application of vehicle passing data, the system comprising: the system comprises a data acquisition module, a task setting module and a query module;
the data acquisition module is used for acquiring checkpoint data and converging the checkpoint data to a big data platform, wherein the checkpoint data comprises vehicle passing data, the vehicle passing data comprises vehicle attributes, and checkpoint equipment information and passing time for vehicles to pass through;
the task setting module is used for setting an inquiry task, and the inquiry task comprises target vehicle attributes, a time range and a bayonet device;
and the query module is used for querying the vehicle passing data matched with the query task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the query task.
Further, the step of querying the vehicle passing data matched with the query task in the big data platform specifically comprises the following steps:
and selecting a target vehicle attribute, a gate device, a start time and an end time as a combined condition to create a region collision task, setting a condition threshold number of the collision task, executing region collision task analysis by the big data platform through passing vehicle data of gate data, and judging that the passing vehicle data which reaches the condition threshold number and meets the target vehicle attribute set by the region collision task meets the region collision task.
The invention has the following beneficial effects:
the method for quickly inquiring and applying the vehicle passing data can be specially used for the application of the bayonet vehicle passing data, can quickly inquire the vehicle passing data, analyzes the data, supports the quick inquiry of the target vehicle and can generate the alarm information when the target vehicle appears.
Drawings
Fig. 1 is a flowchart of a method for providing fast query and application of vehicle passing data according to an embodiment of the present invention.
Detailed Description
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 only a part of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, as a first embodiment of the present invention, a method for providing quick query and application of vehicle passing data is provided, where the method includes:
step 1, obtaining gate data, and converging the gate data to a big data platform, wherein the gate data comprises vehicle passing data, the vehicle passing data comprises vehicle attributes, and also comprises gate equipment information and passing time for a vehicle to pass;
step 2, setting an inquiry task, wherein the inquiry task comprises target vehicle attributes, a time range and a bayonet device, and after the inquiry task is established, the inquiry task can have different states including waiting for approval, in-process, expired, rejected, cancelled and the like according to whether the approval is passed and the corresponding inquiry time range;
and 3, inquiring the passing data matched with the inquiry task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the inquiry task, sending out alarm information based on the inquiry result, and dividing the inquiry task into checking all inquiry tasks and corresponding alarm data according to the difference of user permissions, wherein the user can only operate one inquiry task if the user has the permission to check the inquiry task.
The vehicle attributes comprise vehicle pictures, license plate colors, license plate numbers, vehicle colors, vehicle brands, vehicle models and the presence or absence of pendants; the target vehicle attributes include one or more of vehicle picture, license plate color, license plate number, vehicle color, vehicle make, vehicle model, and presence or absence of a pendant.
The vehicle passing data matched with the query task is queried in the big data platform by creating a region collision task, and the query task comprises the following specific steps: and selecting a target vehicle attribute, a gate device, a start time and an end time as a combined condition to create a region collision task, setting a condition threshold number of the collision task, executing region collision task analysis by the big data platform through passing vehicle data of gate data, and judging that the passing vehicle data which reaches the condition threshold number and meets the target vehicle attribute set by the region collision task meets the region collision task.
The big data platform is built based on an elastic search + spark, and the acquisition of the bayonet data specifically comprises the following steps: the bayonet equipment manufacturer writes the real-time bayonet data into kafka, and the big data platform realizes the convergence of the real-time bayonet data through the butt joint of the kafka; and the big data platform performs data analysis by using spark, and analyzing the task state into execution, no result, result and execution failure according to whether the regional collision task is executed and whether the result exists.
The method comprises the steps that a check page is further arranged on a big data platform, detailed vehicle passing data corresponding to a bayonet region collision task is checked through the check page, namely, a result generated by the bayonet region collision task is checked, a user inputs an inquiry task on the page, and after the inquiry task is transmitted to the big data platform, the big data platform judges whether parameters are valid or not, if the inquired license plate is correct or not, whether the selected bayonet device and the time range exceed the limit or not, and only when the conditions are valid, the parameters are packaged into parameters for inquiring the elasticsearch; using the packaged parameters to inquire a big data background, quickly inquiring the passing data which accords with the parameters by the big data background, if the passing data does not normally return, ending the process, and prompting error information; and after the vehicle passing data meeting the parameters are obtained, data conversion is needed. The data conversion comprises code table conversion, namely converting the codes of the vehicle attributes stored in the elastic search into corresponding Chinese characters, which are easy to read and understand, and also comprises expanding the information of the corresponding bayonet equipment according to the bayonet equipment codes, and finally displaying the data after the data conversion on a front-end viewing page.
As a second aspect of the present invention, there is provided a system for providing quick query and application of vehicle passing data, the system comprising: the system comprises a data acquisition module, a task setting module and a query module;
the data acquisition module is used for acquiring checkpoint data and converging the checkpoint data to a big data platform, wherein the checkpoint data comprises vehicle passing data, the vehicle passing data comprises vehicle attributes, and checkpoint equipment information and passing time for vehicles to pass through;
the task setting module is used for setting an inquiry task, and the inquiry task comprises target vehicle attributes, a time range and a bayonet device;
and the query module is used for querying the vehicle passing data matched with the query task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the query task.
The step of inquiring the vehicle passing data matched with the inquiry task in the big data platform specifically comprises the following steps: and selecting a target vehicle attribute, a gate device, a start time and an end time as a combined condition to create a region collision task, setting a condition threshold number of the collision task, executing region collision task analysis by the big data platform through passing vehicle data of gate data, and judging that the passing vehicle data which reaches the condition threshold number and meets the target vehicle attribute set by the region collision task meets the region collision task.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for providing vehicle passing data fast query and application is characterized by comprising the following steps:
step 1, obtaining gate data, and converging the gate data to a big data platform, wherein the gate data comprises vehicle passing data, the vehicle passing data comprises vehicle attributes, and also comprises gate equipment information and passing time for a vehicle to pass;
step 2, setting an inquiry task, wherein the inquiry task comprises target vehicle attributes, a time range and a gate device;
and 3, inquiring the passing data matched with the inquiry task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the inquiry task.
2. The method of claim 1, wherein the vehicle attributes include vehicle picture, license plate color, license plate number, vehicle color, vehicle brand, vehicle model, and presence of a pendant; the target vehicle attributes include one or more of vehicle picture, license plate color, license plate number, vehicle color, vehicle make, vehicle model, and presence or absence of a pendant.
3. The method for providing the vehicle passing data rapid query and application according to claim 1, wherein the query of the vehicle passing data matched with the query task in the big data platform specifically comprises:
and selecting a target vehicle attribute, a gate device, a start time and an end time as a combined condition to create a region collision task, setting a condition threshold number of the collision task, executing region collision task analysis by the big data platform through passing vehicle data of gate data, and judging that the passing vehicle data which reaches the condition threshold number and meets the target vehicle attribute set by the region collision task meets the region collision task.
4. The method for providing the vehicle passing data rapid query and application according to claim 3, wherein the big data platform is built based on an elastic search + spark, and the obtaining of the checkpoint data specifically comprises: and (4) writing the real-time bayonet data into the kafka by the bayonet equipment manufacturer, and converging the real-time bayonet data by the large data platform through butting the kafka.
5. The method for providing quick query and application of vehicle passing data according to claim 4, further comprising: and the big data platform performs data analysis by using spark, and analyzing the task state into execution, no result, result and execution failure according to whether the regional collision task is executed and whether the result exists.
6. The method for providing the vehicle passing data rapid query and application according to claim 4, further comprising the step of setting a viewing page on a big data platform, and viewing detailed vehicle passing data corresponding to the collision task in the checkpoint area through the viewing page.
7. The method for providing the vehicle passing data fast query and application according to claim 1, further comprising determining whether the target vehicle attribute in the query task is correct, whether the selected gate device and the time range are out of limits, and if the target vehicle attribute in the query task is correct and the selected gate device and the time range are both within limits, packaging the query task as a parameter for querying an elastic search; and querying a big data platform by using the packaged parameters, and rapidly querying the passing data which accords with the parameters by using the big data platform.
8. The method for providing the vehicle passing data fast query and application according to claim 7 is characterized in that after the vehicle passing data meeting the parameters are obtained, the vehicle passing data meeting the parameters are subjected to data conversion, wherein the data conversion comprises code table conversion, target vehicle attribute codes stored in an elastic search are converted into corresponding Chinese, corresponding bayonet device information is expanded according to bayonet device codes, and finally the converted data are displayed through a front-end page.
9. A system for providing quick query and application of vehicle passing data is characterized by comprising: the system comprises a data acquisition module, a task setting module and a query module;
the data acquisition module is used for acquiring checkpoint data and converging the checkpoint data to a big data platform, wherein the checkpoint data comprises vehicle passing data, the vehicle passing data comprises vehicle attributes, and checkpoint equipment information and passing time for vehicles to pass through;
the task setting module is used for setting an inquiry task, and the inquiry task comprises target vehicle attributes, a time range and a bayonet device;
and the query module is used for querying the vehicle passing data matched with the query task in the checkpoint data of the big data platform based on the target vehicle attribute, the time range and the checkpoint equipment in the query task.
10. The system for providing the vehicle passing data rapid query and application according to claim 9, wherein the query of the vehicle passing data matched with the query task in the big data platform specifically comprises:
and selecting a target vehicle attribute, a gate device, a start time and an end time as a combined condition to create a region collision task, setting a condition threshold number of the collision task, executing region collision task analysis by the big data platform through passing vehicle data of gate data, and judging that the passing vehicle data which reaches the condition threshold number and meets the target vehicle attribute set by the region collision task meets the region collision task.
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Application publication date: 20210223 |