Vehicle automatic positioning management system

Abstract

The patent discloses a vehicle automatic positioning management system, which comprises a front-end acquisition unit, a middle-end data processing unit and a terminal management unit, and is characterized in that the front-end acquisition unit acquires vehicle information and a parking position and sends the vehicle information and the parking position to the middle-end data processing unit, and the middle-end data processing unit collects, processes, analyzes and arranges data and sends the data to the terminal management unit; the middle-end data processing unit sends a result after processing to the terminal management unit, the terminal management unit carries out parking guidance, evidence collection and charging on a vehicle according to data, and the front-end collection unit comprises high-position video collection, low-position video collection, NB geomagnetism and video inspection. According to the system, the front-end acquisition unit is used for acquiring and summarizing information in parking spaces, and then the middle-end data processing unit is used for uniformly processing the acquired data and issuing the data to the terminal management unit module through the data sharing module, so that the purposes of vehicle positioning, vehicle management, parking payment and disordered parking detection are achieved; and the use cost of manpower is greatly reduced.

Description

Technical Field

[0001] This patent relates to the field of parking management technology, specifically a vehicle automatic positioning management system. Background Art

[0002] With the rapid increase in the number of cars, the problems of difficulty in parking, disorderly parking and difficulty in management have become more and more serious. Insufficient parking space supply, chaotic parking planning and backward parking management have become the shortcomings of urban construction, affecting the appearance of the city, causing waste of resources and causing public dissatisfaction. At the same time, on-street parking has a negative impact on road traffic, especially random parking, which seriously affects road traffic capacity; on-street parking will hinder the normal driving of vehicles and increase driving time; it is particularly easy to cause instant congestion during peak hours; and it will also bring greater traffic safety hazards; However, the current management of vehicles is not perfect, and front-line personnel need to be more involved in daily patrol management of streets and communities in order to achieve the expected management effect. The labor cost of using this solution is extremely huge.

[0003] The purpose of this patent is to provide a vehicle automatic positioning management system to solve the problems raised in the above background technology.

[0004] To achieve the above purpose, this patent provides the following technical solutions: a vehicle automatic positioning management system, including a front-end acquisition unit, a mid-end data processing unit and a terminal management unit, the front-end acquisition unit collects vehicle information and parking positions, and sends them to the mid-end data processing unit, the mid-end data processing unit collects, processes, analyzes and organizes the data, and the results of the processing by the mid-end data processing unit are sent to the terminal management unit, and the terminal management unit guides the vehicle to park, collects evidence and charges according to the data; The front-end acquisition unit includes high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection; The high-position video acquisition is set up above the external pile pole, and can collect video of the berth number, berth information and parking conditions in the berth, and transmit it to the mid-end data processing unit through IOT; The low-position video acquisition system is installed on the roadside ground, and can collect the license plate number and parking status of the vehicle in the parking space, and transmit it to the mid-end data processing unit through IOT; The NB geomagnetic detector is set at the center of the berth, and a hole is opened on the ground. The NB geomagnetic detector is set in the hole, and the detection end of the NB geomagnetic detector is exposed to the outside. The sensor of the NB geomagnetic detection end can detect whether there is a vehicle parked in the berth, and record the parking time of the vehicle, which is transmitted to the mid-end data processing unit through IOT; The video inspection is installed on the electric vehicle platform. Based on the image acquisition function of its own high-definition camera, it integrates edge computing and deep learning algorithms to capture and scan the license plates of vehicles parked in the berths, realize automatic license plate extraction and recognition, and transmit them to the mid-end data processing unit through IOT; The mid-end data processing unit includes a data collection module, a data processing module, a data analysis module and a data sharing module. The data collected by the front-end acquisition unit will be transmitted to the data collection module, and the data processing module will classify and process the data. The data analysis module will analyze and compare the classified and processed data, analyze and calculate the parking time and charging amount of the vehicles in the berth, and finally send the analysis results to the terminal management unit through the data sharing module; The terminal management unit includes a mobile phone APP, an evidence storage and bank deposit system, and the mobile phone APP is used to receive the data results shared by the mid-end data processing unit and convey the vehicle location information, billing information and parking time to the owner; The evidence storage can store vehicle parking information and video evidence, which can be used as evidence for the pursuit of fee evasion; The bank deposit system refers to the parking fee payment information of the car owner being deposited in a bank, and the parking fee payment is finally settled by the clearing and settlement service provided by the bank.

[0005] Preferably, the data processing module in the mid-end data processing unit includes an image information acquisition unit, a similarity detection unit, a determination and classification unit, a classification prediction modeling unit, a training data set and a classification result output unit; The image information acquisition unit extracts the parking space information and the vehicle information in the image of the front-end acquisition unit; The similarity detection unit performs similarity detection on the images collected by high-position video acquisition, low-position video acquisition, NB geomagnetism and video inspection according to classification prediction modeling, and performs pre-classification; The determination and classification unit performs secondary determination on the pre-classified image information, and after classification, each type of image data is a high-position video acquisition image, a low-position video acquisition image, NB geomagnetic information and a video inspection image of a berth at the same position; The classification result output unit can transmit the classified data to the data analysis module.

[0006] Preferably, the data analysis module in the mid-end data processing unit includes a parking standard detection unit, a charging unit, and an output unit. The parking standard detection unit can determine whether parking is standard according to whether the parking space frame in the image is blocked by the vehicle body; The billing unit may calculate the billing amount according to the timing data of the NB geomagnetic field; The output unit can transmit the result data of the analysis and calculation by the data analysis module to the data sharing unit.

[0007] Preferably, the data sharing module in the mid-end data processing unit can send the detection result of the parking specification detection unit to the mobile phone APP and evidence storage; The mobile phone APP sends a parking notification to the car owner, informing the car owner that the parking is not in compliance with regulations, and sends a payment notification to the car owner, accurately indicating the parking time and charging standards; The evidence storage can store image data of unpaid and non-standard parking, which can be used as evidence for fee evasion and parking disputes.

[0008] Preferably, the high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection in the front-end acquisition unit are all equipped with a GPS module, and the GPS module provides location information for the front-end acquisition unit. The location information provided by the GPS module is also transmitted to the mid-end data processing unit via IOT.

[0009] Preferably, the data collection module of the mid-end data processing unit can preliminarily partition and classify the image data according to the location information provided by the GPS module.

[0010] Compared with the prior art, the beneficial effects of this patent are: The system collects and summarizes the information in the berth through the front-end acquisition unit, and then processes the collected data uniformly through the mid-end data processing unit and sends it to the terminal management unit module through the data sharing module, so as to achieve the purpose of vehicle positioning, vehicle management, parking payment and illegal parking detection, and reduce the cost of manpower use; In addition, this system uses a similarity detection unit and a judgment classification unit, which enables it to perform similarity detection and pre-classification on the images and data collected by high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection, so as to achieve the purpose of multiple images and multiple information for one berth, and further avoid disputes caused by positioning errors and mispayment. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 This is the principle block diagram of this patent.

[0012] Figure 2 This is the principle block diagram of the data processing module of this patent.

[0013] Figure 3 This is the principle block diagram of the data analysis module of this patent. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of this patent to clearly and completely describe the technical solutions in the embodiments of this patent. Obviously, the described embodiments are only part of the embodiments of this patent, not all of them. Based on the embodiments in this patent, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this patent.

[0015] See also Figure 1-3 This patent provides a technical solution: a vehicle automatic positioning management system, including a front-end acquisition unit, a mid-end data processing unit and a terminal management unit. The front-end acquisition unit collects vehicle information and parking positions and sends them to the mid-end data processing unit. The mid-end data processing unit collects, processes, analyzes and organizes the data. The results of the processing by the mid-end data processing unit are sent to the terminal management unit. The terminal management unit guides the vehicle to park, collects evidence and charges fees based on the data. The front-end acquisition unit includes high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection; The high-position video acquisition uses a high-definition digital camera. Through the built-in AI image recognition technology, it can make the image taken clearer and accurately identify the vehicle license plate information. At the same time, the high-position video acquisition also integrates a GPS module to provide the specific location information of the image for the mid-end data processing unit; The high-position video acquisition system is installed above the external poles, which can collect the berth number, berth information and parking conditions in the berth, and transmit them to the mid-end data processing unit through IOT; The low-position video acquisition system is installed on the roadside and can collect the license plate number and parking status of the vehicles in the parking spaces, and transmit them to the mid-end data processing unit via IOT. The low-position video acquisition adopts a one-machine-one-station installation mode. Through the AI ​​license plate recognition algorithm, it can issue real-time warnings for abnormal situations such as cross-parking, reverse parking, and non-motor vehicle parking, and upload them to the mid-end data processing unit. It monitors 24 hours a day, grasps the dynamic information of parking spaces in real time, and comprehensively records the parking process, which is stored in the evidence storage unit of the terminal management unit. If a parking dispute occurs, it can be used as evidence; The NB geomagnetic detector is set at the center of the berth. A hole is opened on the ground, and the NB geomagnetic detector is set in the hole. The detection end of the NB geomagnetic detector is exposed to the outside. The sensor of the NB geomagnetic detection end can detect whether there is a vehicle parked in the berth, and record the parking time of the vehicle, which is transmitted to the mid-end data processing unit through IOT; NB Geomagnetic is a wireless intelligent sensing device that can accurately sense and monitor the berth occupancy in real time and transmit the data to the mid-end data processing unit. Its technical principle is to detect the entry and exit of vehicles based on the changes in the earth's magnetic field. The video inspection system is installed on the electric vehicle platform. Based on the image acquisition function of its own high-definition camera, it integrates edge computing and deep learning algorithms to capture and scan the license plates of vehicles parked in the berths, realize automatic license plate extraction and recognition, and transmit them to the mid-end data processing unit through IOT. The mid-end data processing unit includes a data collection module, a data processing module, a data analysis module and a data sharing module. The data collected by the front-end acquisition unit will be transmitted to the data collection module. The data processing module will classify and process the data. The data analysis module will analyze and compare the classified and processed data, analyze and calculate the parking time and charging amount of the vehicles in the berth, and finally send the analysis results to the terminal management unit through the data sharing module; The terminal management unit includes a mobile phone APP, evidence storage and bank deposit system. The mobile phone APP is used to receive the data results shared by the mid-end data processing unit and convey the vehicle location information, billing information and parking time to the car owner; Evidence storage can store vehicle parking information and video evidence to serve as evidence for the pursuit of toll evasion; The bank deposit system refers to the parking payment information of car owners being deposited with the bank, and the parking payment is ultimately settled by the clearing and settlement service provided by the bank.

[0016] Specifically, the data processing module in the mid-end data processing unit includes an image information acquisition unit, a similarity detection unit, a determination and classification unit, a classification prediction modeling unit, a training data set and a classification result output unit; The image information acquisition unit extracts the parking space information and vehicle information from the image of the front-end acquisition unit; The similarity detection unit performs similarity detection on the images collected by high-position video acquisition, low-position video acquisition, NB geomagnetism and video inspection according to classification prediction modeling, and performs pre-classification; The judgment and classification unit performs secondary judgment on the pre-classified image information. After classification, each type of image data is a high-position video acquisition image, a low-position video acquisition image, NB geomagnetic information and a video inspection image of the same berth; The correct ones are transmitted to the output unit after the second judgment of the classification unit, and the wrong ones are returned to the similarity detection unit for further detection; The classification result output unit can transmit the classified data to the data analysis module.

[0017] Specifically, the data analysis module in the mid-end data processing unit includes a parking standard detection unit, a charging unit, and an output unit. The parking standard detection unit can determine whether parking is standard according to whether the parking space frame in the image is blocked by the vehicle body; The billing unit can calculate the billing amount based on the NB geomagnetic timing data; The output unit can transmit the result data of the analysis and calculation by the data analysis module to the data sharing unit.

[0018] Specifically, the data sharing module in the mid-end data processing unit can send the detection results of the parking specification detection unit to the mobile phone APP and evidence storage; The mobile phone APP sends a parking notification to the car owner, informing the car owner that the parking is not in accordance with the regulations, and sends a payment notice to the car owner, accurately indicating the parking time and billing standards; Evidence storage can store image data of unpaid and non-standard parking, which can be used as evidence for fee evasion and parking disputes.

[0019] Specifically, the high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection in the front-end acquisition unit are all equipped with GPS modules. The GPS module provides location information for the front-end acquisition unit. The location information provided by the GPS module is also transmitted to the mid-end data processing unit via IOT.

[0020] Specifically, the data collection module of the mid-end data processing unit can preliminarily partition and classify the image data according to the location information provided by the GPS module.

[0021] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0022] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A vehicle automatic positioning management system, comprising a front-end acquisition unit, a mid-end data processing unit and a terminal management unit, characterized in that: The front-end acquisition unit collects vehicle information and parking positions and sends them to the mid-end data processing unit, which collects, processes, analyzes and organizes the data. The results of the processing by the mid-end data processing unit are sent to the terminal management unit, which guides the vehicle to park, collects evidence and charges fees based on the data. The front-end acquisition unit includes high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection; The high-position video acquisition is set up above the external pile pole, and can collect video of the berth number, berth information and parking conditions in the berth, and transmit it to the mid-end data processing unit through IOT; The low-position video acquisition system is installed on the roadside ground, and can collect the license plate number and parking status of the vehicle in the parking space, and transmit it to the mid-end data processing unit through IOT; The NB geomagnetic detector is set at the center of the berth, and a hole is opened on the ground. The NB geomagnetic detector is set in the hole, and the detection end of the NB geomagnetic detector is exposed to the outside. The sensor of the NB geomagnetic detection end can detect whether there is a vehicle parked in the berth, and record the parking time of the vehicle, which is transmitted to the mid-end data processing unit through IOT; The video inspection is installed on the electric vehicle platform. Based on the image acquisition function of its own high-definition camera, it integrates edge computing and deep learning algorithms to capture and scan the license plates of vehicles parked in the berths, realize automatic license plate extraction and recognition, and transmit them to the mid-end data processing unit through IOT; The mid-end data processing unit includes a data collection module, a data processing module, a data analysis module and a data sharing module. The data collected by the front-end acquisition unit will be transmitted to the data collection module, and the data processing module will classify and process the data. The data analysis module will analyze and compare the classified and processed data, analyze and calculate the parking time and charging amount of the vehicles in the berth, and finally send the analysis results to the terminal management unit through the data sharing module; The terminal management unit includes a mobile phone APP, an evidence storage and bank deposit system, and the mobile phone APP is used to receive the data results shared by the mid-end data processing unit and convey the vehicle location information, billing information and parking time to the owner; The evidence storage can store vehicle parking information and video evidence, which can be used as evidence for the pursuit of fee evasion; The bank deposit system refers to the parking fee payment information of the car owner being deposited in a bank, and the parking fee payment is finally settled by the clearing and settlement service provided by the bank.

2. The vehicle automatic positioning management system according to claim 1, characterized in that: The data processing module in the mid-end data processing unit includes an image information acquisition unit, a similarity detection unit, a determination and classification unit, a classification prediction modeling unit, a training data set and a classification result output unit; The image information acquisition unit extracts the parking space information and the vehicle information in the image of the front-end acquisition unit; The similarity detection unit performs similarity detection on the images collected by high-position video acquisition, low-position video acquisition, NB geomagnetism and video inspection according to classification prediction modeling, and performs pre-classification; The determination and classification unit performs secondary determination on the pre-classified image information, and after classification, each type of image data is a high-position video acquisition image, a low-position video acquisition image, NB geomagnetic information and a video inspection image of a berth at the same position; The classification result output unit can transmit the classified data to the data analysis module.

3. The vehicle automatic positioning management system according to claim 2, characterized in that: The data analysis module in the mid-end data processing unit includes a parking standard detection unit, a charging unit, and an output unit. The parking standard detection unit can determine whether parking is standard according to whether the parking space frame in the image is blocked by the vehicle body; The billing unit may calculate the billing amount according to the timing data of the NB geomagnetic field; The output unit can transmit the result data of the analysis and calculation by the data analysis module to the data sharing unit.

4. The vehicle automatic positioning management system according to claim 1, characterized in that: The data sharing module in the mid-end data processing unit can send the detection results of the parking specification detection unit to the mobile phone APP and evidence storage; The mobile phone APP sends a parking notification to the car owner, informing the car owner that the parking is not in compliance with regulations, and sends a payment notification to the car owner, accurately indicating the parking time and charging standards; The evidence storage can store image data of unpaid and non-standard parking, which can be used as evidence for fee evasion and parking disputes.

5. The vehicle automatic positioning management system according to claim 1, characterized in that: The high-position video acquisition, low-position video acquisition, NB geomagnetic and video inspection in the front-end acquisition unit are all equipped with a GPS module. The GPS module provides location information for the front-end acquisition unit. The location information provided by the GPS module is also transmitted to the mid-end data processing unit via IOT.

6. The vehicle automatic positioning management system according to claim 5, characterized in that: The data collection module of the mid-end data processing unit can preliminarily partition and classify the image data according to the location information provided by the GPS module.

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