CN112885106A - Vehicle big data-based regional prohibition detection system and method and storage medium - Google Patents
Vehicle big data-based regional prohibition detection system and method and storage medium Download PDFInfo
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- CN112885106A CN112885106A CN202110076705.1A CN202110076705A CN112885106A CN 112885106 A CN112885106 A CN 112885106A CN 202110076705 A CN202110076705 A CN 202110076705A CN 112885106 A CN112885106 A CN 112885106A
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- G08—SIGNALLING
- 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
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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Abstract
The invention discloses a regional forbidden detection system, a method and a storage medium based on vehicle big data, wherein the system comprises a server and a database, the server comprises a processing module and a communication module, and the database comprises an input module and a forbidden license plate management module; the system comprises an input module, a data acquisition module and a data processing module, wherein the input module is used for setting a checkpoint position in a forbidden region, and acquisition equipment on the checkpoint position acquires real-time vehicle data; the forbidden license plate management module is used for setting license plate numbers needing to be restricted from being forbidden, corresponding forbidden time and forbidden areas; the processing module is used for carrying out logic operation on the vehicle data and carrying out early warning on the vehicles meeting the set forbidden region so as to generate early warning information; the communication module is used for sending the early warning information to the front end for display; the beneficial effects are as follows: the real-time monitoring of all vehicle passing data in the forbidden area is realized, the vehicle position can be found at the first time when the vehicle enters the forbidden area, and early warning is carried out in real time.
Description
Technical Field
The invention relates to the technical field of software, in particular to a regional forbidding detection system and method based on vehicle big data and a storage medium.
Background
Along with the rapid development of national economy, the urbanization construction is also carried out in a compact and dense ground, and along with the appearance of various special vehicles, such as a residue soil truck, an oil tank truck, a large truck and the like. Although life is more convenient and development is faster, management of the vehicles is difficult, the vehicles often run according to the specified time/the specified road section, and the like, and the hidden danger is undoubtedly brought to the life safety of people. Therefore, the transportation state is inevitably and reasonably controlled by applying advanced scientific technology.
At present, a vehicle management system based on video captured by a front-end camera and identified by an algorithm exists, vehicle passing data generated by a vehicle type corresponding to a license plate is collected to the management system, but the method only collects vehicle path and position information and has the defect that early warning cannot be timely carried out so as to facilitate follow-up management and control.
Disclosure of Invention
The embodiment of the invention aims to provide a regional prohibition detection system and a regional prohibition detection method based on vehicle big data, so as to overcome the defect that early warning cannot be timely performed in the prior art.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a regional prohibition detection system based on vehicle big data, including a server and a database, where the server includes a processing module and a communication module, and the database includes an input module and a prohibition license plate management module;
the input module is used for setting a checkpoint position in the forbidden region, wherein the acquisition equipment on the checkpoint position acquires real-time vehicle data;
the forbidden license plate management module is used for setting license plate numbers needing to be restricted from being forbidden, corresponding forbidden time and forbidden areas;
the processing module is used for carrying out logic operation on the vehicle data and carrying out early warning on the vehicles meeting the set forbidden region so as to generate early warning information;
and the communication module is used for sending the early warning information to the front end for display.
As an optional implementation manner of the present application, the area prohibition detection system based on vehicle big data further includes a conversion module, where the conversion module is configured to convert the vehicle data into a picture for algorithm identification, and store the identified structured vehicle data for subsequent logic operation.
As an optional implementation manner of the present application, the processing module is further configured to:
and classifying and counting the acquisition equipment on all the checkpoint points in each forbidden zone, and mapping out all the corresponding acquisition equipment in each forbidden zone.
As an optional implementation manner of the present application, the front end includes a web client and a mobile phone client.
In a second aspect, an embodiment of the present invention further provides a method for detecting a regional prohibition based on vehicle big data, which is applied to the system for detecting a regional prohibition based on vehicle big data in the first aspect, where the method includes:
setting a checkpoint position in a forbidden area through an input module, wherein acquisition equipment on the checkpoint position acquires vehicle data in real time;
the license plate number to be restricted from being restricted, corresponding forbidding time and a corresponding forbidding area are set through the forbidding license plate management module;
carrying out logic operation on the vehicle data through a processing module, and carrying out early warning on vehicles meeting the set forbidden region so as to generate early warning information;
and sending the early warning information to a front end for display by utilizing a communication module.
As an optional implementation manner of the present application, the method further includes:
and converting the vehicle data into pictures through a conversion module to perform algorithm identification, and storing the identified structured vehicle data for subsequent logical operation.
As an optional implementation manner of the present application, the method further includes:
and classifying and counting the acquisition equipment on all the checkpoint positions in each forbidden zone through a processing module, and mapping out all the corresponding acquisition equipment in each forbidden zone.
As an optional implementation manner of the present application, the front end includes a web client and a mobile phone client.
In a third aspect, the present invention also provides a computer-readable storage medium storing a computer program, where the computer program includes program instructions, and the program instructions, when executed by a processor, cause the processor to execute the method of the second aspect.
By adopting the technical scheme, the method has the following advantages: according to the area forbidden detection system and method based on the vehicle big data and the storage medium, the forbidden area, the forbidden time, the vehicles and the like are set in advance, and the server is combined for carrying out logic operation, so that all vehicle passing data of the forbidden area are monitored in real time, the vehicle position can be found at the first time when the vehicle enters the forbidden area, early warning is carried out in real time, all special vehicles can be managed and controlled in the later period, and the defect that early warning cannot be carried out in time in the prior art is overcome.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a block diagram of a regional prohibition detection system based on vehicle big data according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for detecting a zone prohibition based on vehicle big data according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Referring to fig. 1, a regional prohibition detection system based on vehicle big data according to an embodiment of the present invention includes a server and a database, where the server includes a processing module and a communication module, and the database includes an input module and a prohibition license plate management module;
the input module is used for setting a checkpoint position in the forbidden region, wherein the acquisition equipment on the checkpoint position acquires real-time vehicle data.
Specifically, the setting mode of the forbidden area can be a page input mode through the displayed setting, and the acquisition equipment on the checkpoint position is a checkpoint camera.
The forbidden license plate management module is used for setting license plate numbers needing to be restricted from being forbidden, corresponding forbidden time and forbidden areas.
Specifically, because the license plate of the special vehicle has certain characteristics, the license plate number of the vehicle needing to be controlled and forbidden is set, the license plate number needing to be controlled and forbidden is added into the forbidden blacklist in a mode of creating the blacklist and the white list, so that early warning can be forbidden according to whether the license plate number in the blacklist exists in real-time vehicle data, and meanwhile, a time condition is added during setting of a forbidden area, so that follow-up more reasonable help research and judgment can be facilitated.
When the method is implemented, the flexibility and the intelligence of detection are improved; during setting, if the license plate in the blacklist can pass through in part of the forbidden region, the license plate number and the passable region can be set in the white list.
The processing module is used for carrying out logic operation on the vehicle data and carrying out early warning on the vehicles meeting the set forbidden region so as to generate early warning information;
specifically, in the processing process, matching is carried out by combining data set in a database to judge whether the early warning condition is met; namely: and classifying and counting the acquisition equipment on all the checkpoint points in each forbidden zone, and mapping out all the corresponding acquisition equipment in each forbidden zone.
Thus, the actual position of the vehicle can be determined according to the vehicle information captured by the specific camera so as to judge whether the vehicle passes through the forbidden area.
In implementation, in order to facilitate the processing of the processing module, the area prohibition detection system based on the vehicle big data further comprises a conversion module, wherein the conversion module is used for converting the vehicle data into a picture for algorithm identification and storing the identified structured vehicle data for subsequent logic operation.
And the communication module is used for sending the early warning information to the front end for display.
Specifically, the front end comprises a webpage client and a mobile phone client; the early warning mode can be web page early warning or can send short message early warning in real time through a short message interface; therefore, the early warning mode is more flexible and timely, and all special vehicles can be conveniently controlled in the later stage.
According to the technical scheme, the forbidden area, the forbidden time, the vehicles and the like are set in advance, and the server is combined for logical operation, so that all vehicle passing data of the forbidden area are monitored in real time, the vehicle position can be found at the first time when the vehicle enters the forbidden area, and early warning is carried out in real time, so that all special vehicles are managed and controlled in the later period, and the defect that early warning cannot be timely carried out in the prior art is overcome.
Based on the same inventive concept, please refer to fig. 2, an embodiment of the present invention further provides a method for detecting a regional prohibition based on vehicle big data, which is applied to the system for detecting a regional prohibition based on vehicle big data described above, wherein modules included in the system for detecting a regional prohibition are recorded in the system embodiment and are not repeated herein; the method comprises the following steps:
s101, setting a checkpoint position in the forbidden area through an input module, wherein a collection device on the checkpoint position collects vehicle data in real time.
Specifically, the acquisition device at the bayonet point is a bayonet camera.
S102, license plate numbers needing to be restricted from being forbidden, corresponding forbidden time and forbidden areas are set through the forbidden license plate management module.
Specifically, by means of creating a blacklist and a white list, license plates needing to be controlled are added to a forbidden blacklist, so that early warning can be forbidden according to whether the license plates in the blacklist exist in real-time vehicle data, and meanwhile, a time condition is added during setting of a forbidden area, so that follow-up more reasonable help research and judgment can be facilitated.
When the method is implemented, the flexibility and the intelligence of detection are improved; during setting, if the license plate in the blacklist can pass through in part of the forbidden region, the license plate number and the passable region can be set in the white list.
S103, carrying out logic operation on the vehicle data through a processing module, and carrying out early warning on the vehicles meeting the set forbidden area so as to generate early warning information;
and S104, sending the early warning information to a front end for display by using the communication module.
Specifically, the front end comprises a webpage client and a mobile phone client, so that the early warning mode is more flexible and timely, and all special vehicles can be conveniently controlled in the later stage.
It should be noted that, for specific implementation and examples of each step in the foregoing method embodiment, reference may be made to the description of the system embodiment, and details are not described herein again.
In practice, to facilitate the detection process, the method further comprises:
and converting the vehicle data into pictures through a conversion module to perform algorithm identification, and storing the identified structured vehicle data for subsequent logical operation.
Further, the method further comprises:
and classifying and counting the acquisition equipment on all the checkpoint positions in each forbidden zone through a processing module, and mapping out all the corresponding acquisition equipment in each forbidden zone. Thus, the actual position of the vehicle can be determined according to the vehicle information captured by the specific camera so as to judge whether the vehicle passes through the forbidden area.
Through the scheme, all the vehicle passing data in the forbidden area are monitored in real time, the vehicle position can be found at the first time when the vehicle enters the forbidden area, and early warning is carried out in real time, so that all special vehicles can be managed and controlled in the later period.
Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, the computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method as described above.
In the embodiments of the present invention, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The code of the computer program may be in a source code form, an object code form, an executable file or some intermediate form, etc. The computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A regional forbidden detection system based on vehicle big data is characterized by comprising a server and a database, wherein the server comprises a processing module and a communication module, and the database comprises an input module and a forbidden license plate management module;
the input module is used for setting a checkpoint position in the forbidden region, wherein the acquisition equipment on the checkpoint position acquires real-time vehicle data;
the forbidden license plate management module is used for setting license plate numbers needing to be restricted from being forbidden, corresponding forbidden time and forbidden areas;
the processing module is used for carrying out logic operation on the vehicle data and carrying out early warning on the vehicles meeting the set forbidden region so as to generate early warning information;
and the communication module is used for sending the early warning information to the front end for display.
2. The vehicle big data-based zone prohibition detection system according to claim 1, further comprising a conversion module for converting the vehicle data into a picture for algorithm identification and storing the identified structured vehicle data for subsequent logical operations.
3. The vehicle big data-based zone prohibition detection system according to claim 1, wherein the processing module is further configured to:
and classifying and counting the acquisition equipment on all the checkpoint points in each forbidden zone, and mapping out all the corresponding acquisition equipment in each forbidden zone.
4. The vehicle big data-based zone prohibition detection system according to any one of claims 1 to 3, characterized in that the front end comprises a web client and a mobile phone client.
5. A regional prohibition detection method based on vehicle big data is applied to the regional prohibition detection system based on vehicle big data in claim 2, and the method comprises the following steps:
setting a checkpoint position in a forbidden area through an input module, wherein acquisition equipment on the checkpoint position acquires vehicle data in real time;
the license plate number to be restricted from being restricted, corresponding forbidding time and a corresponding forbidding area are set through the forbidding license plate management module;
carrying out logic operation on the vehicle data through a processing module, and carrying out early warning on vehicles meeting the set forbidden region so as to generate early warning information;
and sending the early warning information to a front end for display by utilizing a communication module.
6. The vehicle big data-based zone prohibition detection method according to claim 5, characterized in that the method further comprises:
and converting the vehicle data into pictures through a conversion module to perform algorithm identification, and storing the identified structured vehicle data for subsequent logical operation.
7. The vehicle big data-based zone prohibition detection method according to claim 5, characterized in that the method further comprises:
and classifying and counting the acquisition equipment on all the checkpoint positions in each forbidden zone through a processing module, and mapping out all the corresponding acquisition equipment in each forbidden zone.
8. The vehicle big data-based regional prohibition detection method according to claim 5, characterized in that the front end includes a web client and a mobile phone client.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 5 to 8.
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| CN202110076705.1A CN112885106A (en) | 2021-01-20 | 2021-01-20 | Vehicle big data-based regional prohibition detection system and method and storage medium |
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| CN115249409A (en) * | 2022-09-20 | 2022-10-28 | 深圳市城市交通规划设计研究中心股份有限公司 | System, method and equipment for monitoring key vehicle driving into forbidden area and storage medium |
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Address after: 266400 Room 302, building 3, Office No. 77, Lingyan Road, Huangdao District, Qingdao, Shandong Province Applicant after: QINGDAO YISA DATA TECHNOLOGY Co.,Ltd. Applicant after: Anhui Issa Data Technology Co.,Ltd. Applicant after: Beijing isa Intelligent Technology Co.,Ltd. Address before: 266000 3rd floor, building 3, optical valley software park, 396 Emeishan Road, Huangdao District, Qingdao City, Shandong Province Applicant before: QINGDAO YISA DATA TECHNOLOGY Co.,Ltd. Applicant before: Anhui Issa Data Technology Co.,Ltd. Applicant before: Beijing isa Intelligent Technology Co.,Ltd. |
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Application publication date: 20210601 |