A distributed parking violation management method and system

Abstract

The application relates to the technical field of traffic management, and provides a distributed illegal parking management method and system.The method comprises the following steps: acquiring vehicle illegal parking type information; performing illegal parking position identification and division in a first target area according to the vehicle illegal parking type information; performing real-time image acquisition on a first illegal parking position through an image acquisition device to obtain a first image acquisition result; judging whether the first illegal parking position contains a first illegal parking vehicle; if yes, acquiring a first illegal parking type of the first illegal parking position according to the illegal parking type identifier; generating first illegal parking punishment information of the first illegal parking vehicle according to the first illegal parking type according to a preset illegal parking punishment scheme, and sending the first illegal parking punishment information to a first driver of the first illegal parking vehicle.The application solves the technical problem that the existing technology is slow in finding and processing illegal parking vehicles, and achieves the technical effect of improving the processing speed of illegal parking vehicles.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traffic management, in particular to a distributed illegal parking management method and system. BACKGROUND

[0002] Nowadays, with the rapid development of science and technology and the improvement of people's living standards, more and more people buy vehicles at home to facilitate travel. Due to the increase of vehicles, many traffic problems have been caused, among which the most common and most needed to deal with is illegal parking.

[0003] Illegal parking is one of the most common illegal behaviors in daily life, which refers to the situation that the vehicle is parked in violation of the provisions of Article 63 of the Traffic Law. It is not parked in the designated position. Illegal parking not only affects the normal order of people's travel, but also may even cause danger, so under normal circumstances, illegal parking will be punished, but the punishment for illegal parking will be different according to different circumstances. In order to facilitate management, the big problem can be divided into many small problems, which are solved one by one, and finally the illegal parking behavior is managed by cooperation.

[0004] In summary, the present application solves the technical problem of slow finding and handling of illegal parking vehicles in the prior art. SUMMARY

[0005] Therefore, it is necessary to provide a distributed illegal parking management method and system capable of improving the processing speed of illegal parking vehicles to solve the technical problem of slow finding and handling of illegal parking vehicles in the prior art, and to achieve the technical effect of improving the processing speed of illegal parking vehicles.

[0006] In a first aspect, the present application provides a distributed illegal parking management method, which comprises: acquiring vehicle illegal parking type information; performing illegal parking position identification and division in a first target area according to the vehicle illegal parking type information to obtain an illegal parking position set, the illegal parking position set having an illegal parking type identifier; extracting a first illegal parking position according to the illegal parking position set, performing real-time image acquisition on the first illegal parking position through an image acquisition device to obtain a first image acquisition result; performing vehicle detection on the first image acquisition result to determine whether the first illegal parking position contains a first illegal parking vehicle; if yes, acquiring a first illegal parking type of the first illegal parking position according to the illegal parking type identifier; generating first illegal parking penalty information of the first illegal parking vehicle according to the first illegal parking type according to a preset illegal parking penalty scheme, and sending the first illegal parking penalty information to a first driver of the first illegal parking vehicle.

[0007] In a second aspect, the present application provides a distributed parking violation management system, comprising: a vehicle parking violation type information acquisition module, configured to acquire vehicle parking violation type information; a parking violation location set acquisition module, configured to perform parking violation location identification and division in a first target area according to the vehicle parking violation type information, to obtain a parking violation location set, the parking violation location set being provided with a parking violation type identifier; a first image acquisition result acquisition module, configured to extract a first parking violation location according to the parking violation location set, to perform real-time image acquisition on the first parking violation location by using an image acquisition device, and to obtain a first image acquisition result; a first parking violation location judgment module, configured to perform vehicle detection on the first image acquisition result, to judge whether the first parking violation location contains a first parking violation vehicle; a first parking violation type acquisition module, configured to, if yes, acquire a first parking violation type of the first parking violation location according to the parking violation type identifier; and a first parking violation penalty information generation module, configured to generate first parking violation penalty information of the first parking violation vehicle according to the first parking violation type according to a preset parking violation penalty scheme, and to send the first parking violation penalty information to a first driver of the first parking violation vehicle.

[0008] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] First, vehicle parking violation type information is acquired; second, parking violation location identification and division are performed in a first target area according to the vehicle parking violation type information, to obtain a parking violation location set, the parking violation location set being provided with a parking violation type identifier; third, a first parking violation location is extracted according to the parking violation location set, real-time image acquisition is performed on the first parking violation location by using an image acquisition device, and a first image acquisition result is obtained; fourth, vehicle detection is performed on the first image acquisition result, to judge whether the first parking violation location contains a first parking violation vehicle; fifth, it is judged whether the first parking violation location contains the first parking violation vehicle, and if yes, a first parking violation type of the first parking violation location is acquired according to the parking violation type identifier; and finally, first parking violation penalty information of the first parking violation vehicle is generated according to the first parking violation type according to a preset parking violation penalty scheme, and the first parking violation penalty information is sent to a first driver of the first parking violation vehicle. The present application solves the technical problem of slow finding and processing of parking violation vehicles in the prior art, and achieves the technical effect of improving the processing speed of parking violation vehicles

[0010] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0011] Figure 1 This is a flowchart illustrating a distributed illegal parking management method in one embodiment;

[0012] Figure 2 This is a schematic diagram illustrating the process of generating second illegal parking penalty information in a distributed illegal parking management method according to one embodiment;

[0013] Figure 3 This is a structural block diagram of a distributed illegal parking management system in one embodiment.

[0014] Explanation of reference numerals in the attached diagram: Module 11 for obtaining vehicle illegal parking type information, Module 12 for obtaining illegal parking location set, Module 13 for obtaining first image acquisition result, Module 14 for judging first illegal parking location, Module 15 for obtaining first illegal parking type, and Module 16 for generating first illegal parking penalty information. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0016] After introducing the basic principles of this application, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0017] like Figure 1 As shown, this application provides a distributed illegal parking management method, the method comprising:

[0018] S100: Obtain information on the type of illegal parking of vehicles;

[0019] Specifically, the distributed in the present application is to split a large problem into multiple small problems, solve one by one, and finally complete a specific task by cooperation; the parking violation management refers to the management of vehicles that do not park in the specified location, such as warning the vehicle owner, etc.; the present application analyzes the vehicle parking violation type information, collects the parking violation position set, collects images of any position in the parking violation position set, analyzes whether the image collection result contains a parking violation vehicle, and then according to the vehicle parking violation type information, obtains the punishment that the parking violation vehicle should have, and feeds back to the driver of the parking violation vehicle.

[0020] The vehicle parking violation type information refers to what types of vehicle parking violations are, for example, in the road section provided with no parking signs, markings, road sections provided with isolation facilities between motor vehicle lanes and non-motor vehicle lanes, pedestrian sidewalks, pedestrian crossings, construction sites, intersections, railway crossings, sharp curves, narrow roads with a width of less than 4 meters, bridges, steep slopes, tunnels, and road sections within 50 meters of the above-mentioned locations, etc.; all vehicle parking violations are obtained through the <Implementation Regulations of the Road Traffic Safety Law of the People's Republic of China> and extracted to support the vehicle parking violation judgment and punishment in the following.

[0021] S200: According to the vehicle parking violation type information, the parking violation position recognition and division are performed in the first target area, and a parking violation position set is obtained, wherein the parking violation position set has a parking violation type identifier;

[0022] Specifically, the target area refers to the area that needs to be managed, that is, the area where the distributed parking violation management method is implemented, for example, a city, a county, etc., denoted as the first target area; the parking violation position recognition and division refers to dividing and marking the area where the vehicle parking belongs to the illegal parking in the target area to form a set, that is, the parking violation position set; the parking violation type identifier refers to marking and identifying the parking violation type.

[0023] According to the vehicle parking violation type information, the parking violation position recognition and division are performed in the first target area, and a parking violation position set is obtained, wherein the parking violation position set has a parking violation type identifier.

[0024] Further, the steps of the present application include:

[0025] S210: According to the vehicle parking violation type information, a first parking violation type is extracted;

[0026] S220: According to the first parking violation type, a position matching is performed in the first target area, and a first parking violation position is obtained;

[0027] S230: According to the first parking violation position, the parking violation position set is formed.

[0028] Specifically, the parking violation type refers to the type of illegal parking, such as parking on a road segment with a no-parking sign, parking on a blind lane, parking in a place without a parking space, parking on a yellow grid line, parking on a zebra crossing, etc., and any one of them is recorded as a first parking violation type; position matching refers to finding a parking area, i.e., a violation area, such as a blind lane, a place without a parking space, a yellow grid line, etc., in the first target area according to the first parking violation type; and then grouping the found parking area, i.e., the violation area, into a set, i.e., a parking violation position set.

[0029] According to the first parking violation type extracted from the vehicle parking violation type information, position matching is performed in the first target area according to the first parking violation type to obtain a first parking violation position, and the first parking violation position is grouped into the parking violation position set.

[0030] S300: Extract a first parking violation position from the parking violation position set, and perform real-time image acquisition on the first parking violation position by using an image acquisition device to obtain a first image acquisition result;

[0031] Specifically, the first parking violation position refers to any one of the parking violation positions in the parking violation position set as the first parking violation position; the image acquisition device needs to use a certain acquisition device (equipment) to acquire images. The performance of the acquisition device has a great influence on the acquisition process and the quality of the acquired images, such as a camera, an infrared instrument, etc.; real-time image acquisition refers to synchronously converting the image into a digital image after sampling and quantization and inputting and storing it when monitoring and shooting the first parking violation position; and the image acquisition result refers to the digital image obtained after the image acquisition device shoots the first parking violation position.

[0032] According to the first parking violation position extracted from the parking violation position set, synchronous image acquisition is performed on the first parking violation position by using an image acquisition device to obtain a first image acquisition result.

[0033] S400: Vehicle detection is performed on the first image acquisition result to determine whether the first parking violation position contains a first parking vehicle;

[0034] Specifically, vehicle detection refers to detecting whether a vehicle is parked in the parking violation position in the first image acquisition result; and the parking vehicle refers to a vehicle parked in violation of rules, such as a blind lane, a place without a parking space, a yellow grid line, a zebra crossing, etc.

[0035] In the first image acquisition result, it is detected whether the first image acquisition result contains a vehicle, and if so, it is determined whether a vehicle is parked in violation of rules in the first parking violation position.

[0036] S500: If yes, a first parking violation type of the first parking violation position is obtained according to the parking violation type identifier;

[0037] Specifically, if there is a vehicle illegally parked in the first parking violation position, a first parking violation type of the first parking violation position is obtained according to the parking violation type identifier, and the first parking violation type refers to the parking violation type of the first parking violation position, denoted as the first parking violation type.

[0038] S600: According to a preset parking violation punishment scheme, first parking violation punishment information of the first parking violation vehicle is generated according to the first parking violation type, and the first parking violation punishment information is sent to a first driver of the first parking violation vehicle.

[0039] Specifically, the preset parking violation punishment scheme refers to a plan for punishing a vehicle illegally parked, such as warning, posting a notice, notifying the vehicle owner, etc. Different punishments are imposed on the vehicle owner illegally parked according to different parking violation types. According to the traffic regulations, the first parking violation punishment information can be directly consulted. The first driver refers to the driver of the parking violation vehicle.

[0040] According to the preset parking violation punishment scheme, the first parking violation vehicle is classified according to the first parking violation type, and the first parking violation punishment information of the first parking violation vehicle is queried and sent to the first driver of the first parking violation vehicle.

[0041] Further, the step of the application further comprises:

[0042] S610: According to the vehicle parking violation type information, a violation level is divided to obtain a level division result;

[0043] S620: A punishment scheme set is matched and obtained according to the level division result;

[0044] S630: According to the first parking violation type, the preset parking violation punishment scheme is obtained by traversing and matching in the punishment scheme set.

[0045] Specifically, the violation level refers to the level division of the vehicle parking violation, and the level division is specified by the traffic law. Different punishment schemes correspond to different violation levels. The punishment scheme set refers to different punishment schemes corresponding to each level and each violation behavior, such as different score deductions and different fines. Traversal refers to accessing all data in a set once. In this application, the punishment required by the first parking violation type is specially listed in the punishment scheme set, and then a set is formed to obtain the preset parking violation punishment scheme.

[0046] According to the vehicle parking violation type information, a parking violation level division is performed to obtain a level division result; a penalty scheme set is obtained according to the level division result; and the preset parking violation penalty scheme is obtained by traversing and matching the first parking violation type in the penalty scheme set. By obtaining the preset parking violation penalty scheme, the penalty scheme for all parking violation behaviors is obtained, which lays a foundation for subsequent reminders to the driver.

[0047] Further, the steps of the application include:

[0048] S640: Obtain a first preset response time;

[0049] S650: Monitor the first parking violation vehicle according to the first preset response time, judge whether the first parking violation vehicle responds to the first parking violation penalty information, and obtain a judgment result;

[0050] S660: If the judgment result is normal response, maintain the first parking violation penalty information.

[0051] Specifically, the response time refers to the time from when the first parking violation penalty information is sent to the first driver of the first parking violation vehicle to when the first driver implements the first parking violation penalty information, for example, at 12 noon, a vehicle is detected to be parked in violation of the rules, and the command center sends the penalty result, such as immediately driving away, to the driver. The time for the driver to drive away the vehicle after receiving the instruction is 12:10, and the response time is 10 minutes; the preset response time refers to the time set by the staff according to their experience, which is not limited here; the response refers to the response sound, in this application, it refers to the time from when the first penalty scheme is sent to the first driver to when the first driver reacts, and the normal response refers to when the first parking violation vehicle is received by the driver, the first driver drives the first parking violation vehicle away within the first preset response time, which is a normal response.

[0052] First, a response time is preset as a basis for judging whether the first illegal parking vehicle receives the first illegal parking penalty information, the first illegal parking vehicle is monitored according to the first preset response time, it is judged whether the first illegal parking vehicle responds to the first illegal parking penalty information, and a judgment result is obtained. If the first illegal parking vehicle is removed within the first preset response time, the first illegal parking vehicle normally responds to the first illegal parking penalty information. If the judgment result is normal response, the first illegal parking penalty information is maintained. The illegal parking information of the first illegal parking vehicle is analyzed, it is judged which penalty the first illegal parking vehicle should accept, and it is divided into the preset illegal parking penalty scheme which has been listed to obtain the first illegal parking penalty information. The problem of the first illegal parking vehicle is solved through division, and the effect of improving the speed of processing the first illegal parking vehicle is achieved.

[0053] As Figure 2 shown, further, the steps of the application also include:

[0054] S661: If the judgment result is no response, the driving position image of the first illegal parking vehicle is collected, and a second image collection result is obtained;

[0055] S662: The second image collection result is subjected to face recognition, and it is judged whether the first illegal parking vehicle has a driver;

[0056] S663: If yes, the driving state information of the driver is obtained according to the face recognition result;

[0057] S664: The first illegal parking penalty information is adjusted according to the driving state information to generate a second illegal parking penalty information.

[0058] Specifically, the driving position image collection refers to collecting the image of the driver position of the first illegal parking vehicle through an image collection device to obtain a second image collection result; face recognition is a kind of biometric technology based on human facial feature information for identity recognition. The image or video stream containing human face is collected by a camera or a camera, and the human face is automatically detected and tracked in the image, and then a series of related technologies for face recognition are used to obtain the face recognition result, which is used to judge whether there is a driver on the first illegal parking vehicle; the driving state information refers to the state of the driver, such as the absence of the driver, the fatigue of the driver, etc., the driver state information is generated, and the second illegal parking penalty information refers to the adjustment of the first illegal parking penalty information if the driver state is not good, such as fatigue driving, etc. The penalty information is different.

[0059] If the judgment result is no response, that is, the first illegally parked vehicle does not respond within a specified time after receiving the first illegally parked penalty scheme, the driving position image of the first illegally parked vehicle is collected to obtain a second image collection result; the second image collection result is subjected to face recognition to determine whether the first illegally parked vehicle has a driver; if there is a driver, the driving state information of the driver is obtained according to the face recognition result; the first illegally parked penalty information is adjusted according to the driving state information to generate second illegally parked penalty information.

[0060] Further, the step of the application further comprises:

[0061] S665: if the first illegally parked vehicle has no driver, an emergency towing instruction is generated;

[0062] S666: the emergency towing instruction is sent to a first traffic control personnel;

[0063] S667: the first illegally parked penalty information is adjusted according to the emergency towing instruction to generate third illegally parked penalty information.

[0064] Specifically, the emergency towing instruction refers to an emergency instruction generated when the first illegally parked vehicle has no driver present, which can be fed back to the traffic department to let the traffic department send personnel to remove the illegally parked vehicle; the first traffic control personnel refers to the personnel managing traffic in the traffic department, such as traffic police, etc.; the third illegally parked penalty information refers to the adjustment of the first illegally parked penalty information if the driver is not on the vehicle, or the driver has not received the penalty scheme notification, or the driver has not timely handled the first illegally parked vehicle, etc., to generate third illegally parked penalty information, that is, the penalty information is different for different degrees of violation. The application divides a big problem into multiple small problems and solves them one by one to finally complete a specific task in cooperation; the illegally parked management refers to the management of vehicles parked at positions other than the specified positions, such as warning the vehicle owner, etc.; the application analyzes the vehicle illegally parked type information, collects the illegally parked position set, collects images of any position in the illegally parked position set, analyzes whether the image collection result contains an illegally parked vehicle, and then feeds back the penalty of the illegally parked vehicle to the driver of the illegally parked vehicle according to the vehicle illegally parked type information. The application solves the technical problem of slow finding and handling of illegally parked vehicles in the prior art, and achieves the technical effect of improving the handling speed of illegally parked vehicles.

[0065] As shown in Figure 3 The embodiment of the application provides a distributed illegally parked management system, which comprises:

[0066] A vehicle parking violation type information acquisition module 11 is configured to acquire vehicle parking violation type information;

[0067] A parking violation location set acquisition module 12 is configured to identify and divide parking violation locations in a first target area according to the vehicle parking violation type information, and obtain a parking violation location set, which is provided with a parking violation type identifier;

[0068] A first image acquisition result acquisition module 13 is configured to extract a first parking violation location according to the parking violation location set, and acquire a first image acquisition result by performing real-time image acquisition on the first parking violation location through an image acquisition device;

[0069] A first parking violation location judgment module 14 is configured to perform vehicle detection on the first image acquisition result, and judge whether the first parking violation location contains a first parking violation vehicle;

[0070] A first parking violation type acquisition module 15 is configured to acquire a first parking violation type of the first parking violation location according to the parking violation type identifier if the first parking violation location contains the first parking violation vehicle.

[0071] A first parking violation penalty information generation module 16 is configured to generate first parking violation penalty information of the first parking violation vehicle according to the first parking violation type according to a preset parking violation penalty scheme, and send the first parking violation penalty information to a first driver of the first parking violation vehicle.

[0072] Further, the embodiment of the application further includes:

[0073] A first parking violation type extraction module is configured to extract a first parking violation type according to the vehicle parking violation type information;

[0074] A first parking violation location acquisition module is configured to acquire a first parking violation location according to the first parking violation type by location matching in the first target area;

[0075] A parking violation location set assembly module is configured to assemble the parking violation location set according to the first parking violation location.

[0076] Further, the embodiment of the application further includes:

[0077] A first preset response time acquisition module is configured to acquire a first preset response time;

[0078] A judgment result obtaining module is configured to monitor the first illegally parked vehicle according to the first preset response time, judge whether the first illegally parked vehicle responds to the first illegally parked penalty information, and obtain a judgment result.

[0079] A first illegally parked penalty information maintaining module is configured to maintain the first illegally parked penalty information if the judgment result is normal response.

[0080] Further, the embodiment of the application further comprises:

[0081] A second image collection result obtaining module is configured to collect a driving position image of the first illegally parked vehicle and obtain a second image collection result if the judgment result is no response.

[0082] Face recognition is performed on the second image collection result to judge whether the first illegally parked vehicle has a driver.

[0083] A driving state information obtaining module is configured to obtain driving state information of the driver according to the face recognition result if yes.

[0084] A second illegally parked penalty information generating module is configured to adjust the first illegally parked penalty information according to the driving state information and generate second illegally parked penalty information.

[0085] Further, the embodiment of the application further comprises:

[0086] An emergency tow truck instruction generating module is configured to generate an emergency tow truck instruction if the first illegally parked vehicle has no driver.

[0087] An emergency tow truck instruction sending module is configured to send the emergency tow truck instruction to a first traffic control personnel.

[0088] A third illegally parked penalty information generating module is configured to adjust the first illegally parked penalty information according to the emergency tow truck instruction and generate third illegally parked penalty information.

[0089] Further, the embodiment of the application further comprises:

[0090] A grade division result obtaining module is configured to divide the illegal parking level according to the vehicle illegally parked type information and obtain a grade division result.

[0091] a penalty scheme set obtaining module configured to obtain a penalty scheme set according to the classification result;

[0092] a preset violation and parking penalty scheme obtaining module configured to obtain the preset violation and parking penalty scheme by traversing and matching in the penalty scheme set according to the first violation and parking type.

[0093] For specific embodiments of the distributed violation and parking management system, refer to the embodiments of the distributed violation and parking management method described above, which will not be repeated here. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above modules.

[0094] The technical features of the above embodiments can be combined in any manner. To make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combinations of the technical features do not exist, they should be considered as the scope of the present disclosure.

[0095] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be pointed out that for ordinary skilled persons in the art, some modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A distributed parking violation management method, characterized by, The method comprises: acquiring vehicle parking violation type information; performing parking violation position identification division in a first target area according to the vehicle parking violation type information, to obtain a parking violation position set, the parking violation position set being provided with a parking violation type identifier; extracting a first parking violation position according to the parking violation position set, and performing real-time image acquisition on the first parking violation position by an image acquisition device to obtain a first image acquisition result; performing vehicle detection on the first image acquisition result to determine whether the first parking violation position contains a first parking violation vehicle; if yes, acquiring a first parking violation type of the first parking violation position according to the parking violation type identifier; generating first parking violation penalty information of the first parking violation vehicle according to the first parking violation type according to a preset parking violation penalty scheme, and sending the first parking violation penalty information to a first driver of the first parking violation vehicle.

2. The method of claim 1, wherein, The method further comprises: acquiring a first preset response time; monitoring the first parking violation vehicle according to the first preset response time to determine whether the first parking violation vehicle responds to the first parking violation penalty information, to obtain a determination result; if the determination result is normal response, maintaining the first parking violation penalty information.

3. The method of claim 1, wherein, The method further comprises: if the determination result is no response, performing driving position image acquisition on the first parking violation vehicle to obtain a second image acquisition result; performing face recognition on the second image acquisition result to determine whether the first parking violation vehicle has a driver; if yes, acquiring driving state information of the driver according to a face recognition result; 4. The method of claim 3, wherein, adjusting the first parking violation penalty information according to the driving state information to generate second parking violation penalty information. The method further comprises: if the first parking violation vehicle has no driver, generating an emergency towing instruction; sending the emergency towing instruction to a first traffic control personnel; adjusting the first parking violation penalty information according to the emergency towing instruction to generate third parking violation penalty information.

5. The method of claim 4, wherein, The method further comprises: performing violation level division according to the vehicle parking violation type information to obtain a level division result; matching to obtain a penalty scheme set according to the level division result; performing traversal matching in the penalty scheme set according to the first parking violation type to obtain the preset parking violation penalty scheme.

6. The method of claim 1, wherein, The system comprises: ​ ​ ​ 7. A distributed parking violation management system, comprising: ​ The vehicle illegal parking type information acquisition module is configured to acquire vehicle illegal parking type information. The illegal parking position set acquisition module is configured to perform illegal parking position identification division in a first target area according to the vehicle illegal parking type information, and obtain an illegal parking position set, which has an illegal parking type identifier. The first image acquisition result acquisition module is configured to extract a first illegal parking position according to the illegal parking position set, perform real-time image acquisition on the first illegal parking position by using an image acquisition device, and obtain a first image acquisition result. The first illegal parking position judgment module is configured to perform vehicle detection on the first image acquisition result, and judge whether the first illegal parking position contains a first illegal parking vehicle. The first illegal parking type acquisition module is configured to, if yes, acquire a first illegal parking type of the first illegal parking position according to the illegal parking type identifier. The first illegal parking punishment information generation module is configured to generate first illegal parking punishment information of the first illegal parking vehicle according to the first illegal parking type according to a preset illegal parking punishment scheme, and send the first illegal parking punishment information to a first driver of the first illegal parking vehicle.

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