Smart city parking charging method and system based on Internet of Things

Abstract

The invention relates to the field of parking, and particularly discloses a smart city parking charging method and system based on the Internet of Things, and the method comprises the steps: obtaining a real-time image and parking time of a parking space, and obtaining a license plate number of a parked vehicle through an image recognition technology; finding out a mobile phone number bound with the parked vehicle according to the license plate number, and sending a picture with a charging two-dimensional code and parking time to the mobile phone number; and responding to the identification of the picture, skipping to a parking fee payment interface, automatically displaying the amount of the parking fee on the payment interface, and paying the parking fee. The license plate number of the parking vehicle at the parking place is recognized through the image recognition technology, then the payment picture is sent to the mobile phone bound with the license plate number, a vehicle owner can pay the parking fee only by recognizing the payment picture, workers do not need to stick to the parking place, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the field of parking, and specifically to an intelligent city parking charging method and system based on the Internet of Things. Background Art

[0002] Nowadays, with the increasing demand for cars, there are more and more various cars, and the parking problem has attracted people's attention, and the number of corresponding parking lots is also increasing. A parking lot refers to a place for parking vehicles.

[0003] Existing parking lots still cannot meet people's parking needs, so the vacant roadside spaces have been developed as new parking places. The roadside parking places will charge the parked vehicles. The existing charging method is that the staff issues a charging slip with a QR code for the parked vehicle. The charging slip includes the start time of the vehicle's parking. When the vehicle owner needs to leave, the vehicle owner scans the QR code on the charging slip, and the fee to be paid will appear. Although this method can achieve the collection of parking fees, at least one staff member needs to stay at the parking place all the time, and the degree of intelligence is not high. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent city parking charging method and system based on the Internet of Things to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] An intelligent city parking charging method based on the Internet of Things, the method includes:

[0007] Obtain the real-time image of the parking space and the parking time, and use image recognition technology to obtain the license plate number of the parked vehicle;

[0008] Find out the mobile phone number bound to the parked vehicle according to the license plate number, and send a picture with a charging QR code and the parking time to the mobile phone number;

[0009] In response to the recognition of the picture, jump to the parking fee payment interface, and the payment interface automatically displays the amount of the parking fee, and then the parking fee can be paid.

[0010] As a further scheme of the present invention: the step of using image recognition technology to obtain the license plate number of the parked vehicle includes:

[0011] Segment the real-time image of the parking space into different sub-images;

[0012] Perform recognition on all sub-images in turn to identify the sub-image with the license plate;

[0013] Perform secondary recognition on the sub-image to obtain the license plate number of the parked vehicle.

[0014] As a further solution of the present invention: before segmenting the real-time image of the parking space into different sub-images, it further includes filtering out noise and enhancing the image of the real-time image of the parking space.

[0015] As a further solution of the present invention: the step of sending a picture with a charging QR code and parking time to the mobile phone number includes:

[0016] Obtain the parking time of the parked vehicle, generate a payment picture, and the payment picture includes the parking time and the charging QR code;

[0017] Send the payment picture to the mobile phone number bound to the parked vehicle.

[0018] The technical solution of the present invention also provides an Internet of Things-based smart city parking charging system, and the system includes:

[0019] An acquisition module, configured to acquire the real-time image and parking time of the parking space, and use image recognition technology to obtain the license plate number of the parked vehicle;

[0020] A sending module, configured to find out the mobile phone number bound to the parked vehicle according to the license plate number, and send a picture with a charging QR code and parking time to the mobile phone number;

[0021] A response module, configured to respond to the recognition of the picture, jump to the parking fee payment interface, and the payment interface automatically displays the amount of the parking fee, and then the parking fee can be paid.

[0022] As a further solution of the present invention: the acquisition module includes:

[0023] An acquisition unit, configured to acquire the real-time image and parking time of the parking space;

[0024] A preprocessing unit, configured to filter out noise and enhance the image of the real-time image of the parking space;

[0025] A segmentation unit, configured to segment the real-time image of the parking space into different sub-images;

[0026] A primary recognition unit, configured to sequentially perform primary recognition on all sub-images to recognize the sub-image with a license plate;

[0027] A secondary recognition unit, configured to perform secondary recognition on the sub-image to obtain the license plate number of the parked vehicle.

[0028] As a further solution of the present invention: the sending module includes:

[0029] A searching unit, configured to find out the mobile phone number bound to the parked vehicle according to the license plate number;

[0030] A generating unit, configured to obtain the parking time of the parked vehicle and generate a payment picture, where the payment picture includes the parking time and a payment QR code;

[0031] A sending unit, configured to send the payment picture to the mobile phone number bound to the parked vehicle.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention uses image recognition technology to recognize the license plate number of the parked vehicle at the parking location, and then sends a payment picture to the mobile phone bound to the license plate number. The vehicle owner can pay the parking fee by simply recognizing the payment picture, without the need for staff to stay at the parking location, and the degree of intelligence is high. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings in the following descriptions are only some embodiments of the present invention.

[0034] Figure 1 It is a flowchart of a smart city parking charging method based on the Internet of Things.

[0035] Figure 2 It is a partial first sub-flowchart of a smart city parking charging method based on the Internet of Things.

[0036] Figure 3 It is a partial second sub-flowchart of a smart city parking charging method based on the Internet of Things.

[0037] Figure 4 It is a block diagram of the composition structure of a smart city parking charging system based on the Internet of Things.

[0038] Figure 5 It is a block diagram of the composition structure of an acquisition module in a smart city parking charging system based on the Internet of Things.

[0039] Figure 6 It is a block diagram of the composition structure of a sending module in a smart city parking charging system based on the Internet of Things. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Currently, it is still necessary for manual judgment of the situations captured by the cameras to take measures. The monitoring personnel monitor multiple cameras simultaneously and rely on the experience of the monitoring personnel for judgment. It may be possible to judge an unsafe behavior as a safe behavior due to the experience of the monitoring personnel, or the monitoring personnel may not be able to detect an unsafe behavior in a timely manner.

[0041] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] Embodiment 1: Figure 1 As a flowchart of a smart city parking charging method based on the Internet of Things, in an embodiment of the present invention, a smart city parking charging method based on the Internet of Things, the method includes:

[0043] Step S100: Obtain the real-time image of the parking space and the parking time, and use image recognition technology to obtain the license plate number of the parked vehicle;

[0044] At every few parking spaces at the parking location, high-definition cameras are installed. The high-definition cameras can be adjusted remotely in terms of angle, so that clear images of the parking spaces can be taken. When a vehicle parks in a parking space and the parking is completed, the high-definition camera takes a picture of the condition of the parking space. At this time, the server marks the shooting time of this real-time image, and this time is the start time of parking. By recognizing the taken real-time image, the license plate number of the parked vehicle can be obtained (because each license plate number is unique, and this license plate number can be uniquely corresponding to the vehicle owner, contact information, etc., thus laying a foundation for the subsequent steps).

[0045] Step S200: Find out the mobile phone number bound to the parked vehicle according to the license plate number, and send a picture with a charging QR code and the parking time to this mobile phone number;

[0046] The vehicle represented by the license plate number has a uniquely corresponding vehicle owner information. Furthermore, the bound mobile phone number of the owner of the parked vehicle can be found from the server, and thus contact with the vehicle owner can be established. The charging QR code in the picture received by the mobile phone number can be recognized by the mobile phone, and then it will jump to the payment page. The parking time allows the vehicle owner to know the start time of charging. Then, according to the parking charging rules, the vehicle owner can calculate the approximate parking fee, and then compare it with the parking fee displayed on the payment page. After confirming that the fee is correct, the parking fee can be paid.

[0047] Step S300: In response to the recognition of the picture, jump to the parking fee payment interface, and the payment interface automatically displays the amount of the parking fee, and then the parking fee can be paid.

[0048] When the mobile phone recognizes a picture, it will send an access request to the server. The server receives the access request and responds. The response method is usually to send a jump message. After the mobile phone receives the jump message, it will jump to the parking fee payment interface. The parking fee payment interface will display the payment amount (when the mobile phone sends an access request, it will consider this time as the end time of parking for the parked vehicle. Combining with the previous start parking time, the server can generate the parking fee, which is the payment amount). The vehicle owner checks the payment amount. After verifying that the amount is correct, the vehicle owner can pay the parking fee and then drive away from the parking space to start the next journey of the vehicle owner.

[0049] Figure 2 It is a partial first sub - process block diagram of a smart city parking charging method based on the Internet of Things. The steps of using image recognition technology to obtain the license plate number of the parked vehicle include:

[0050] Segment the real - time image of the parking space into different sub - images;

[0051] In order to quickly recognize the license plate number of the parked vehicle, a whole real - time image is segmented into several parts (the segmentation can be average segmentation or non - average segmentation, but it is not allowed to split an object into two different sub - images). Then, each part is recognized simultaneously, which can greatly speed up the recognition speed.

[0052] Perform one - time recognition on all sub - images in sequence to identify the sub - image with the license plate.

[0053] Perform one - time recognition on the sub - image. One - time recognition is a rough recognition, aiming to quickly screen out the sub - image with the license plate number. When it is recognized that a certain sub - image contains the license plate number, the one - time recognition of other sub - images can be stopped, which can save the resources of the server, reduce the workload of one - time recognition, and thus improve work efficiency.

[0054] Perform secondary recognition on this sub - image to obtain the license plate number of the parked vehicle.

[0055] Perform secondary recognition on the sub - image with the license plate number. Secondary recognition is a careful recognition to ensure accurate recognition of the license plate number without errors.

[0056] Before segmenting the real - time image of the parking space into different sub - images, it also includes filtering out noise and image enhancement for the real - time image of the parking space.

[0057] To ensure the accuracy of smart city parking billing based on the Internet of Things, it is necessary to preprocess the real-time image. Filtering and denoising can eliminate the noise in the image and retain the details of the image, improve the contrast and clarity of the image, make the image more distinct. Image enhancement can make the image look clearer and more distinct by adjusting features such as brightness, contrast, and color balance. The image may be affected by various distortions and noises during the acquisition and transmission process. Image enhancement can effectively reduce these adverse effects and restore the true appearance of the image. Image enhancement can also highlight important details in the image, such as edges, colors and other key information, so as to ensure the accuracy of subsequent recognition.

[0058] Figure 3 It is a partial second sub-process block diagram of a smart city parking billing method based on the Internet of Things. The step of sending a picture with a payment QR code and parking time to the mobile phone number includes:

[0059] Obtain the parking time of the parked vehicle and generate a payment picture, which includes the parking time and the payment QR code;

[0060] Obtain the time when the real-time image is taken. The time when the image is taken is the start parking time of the parked vehicle, then generate a payment QR code, and integrate the parking time and the payment QR code in the same picture. This picture is the payment picture.

[0061] Send the payment picture to the mobile phone number bound to the parked vehicle.

[0062] Knowing the mobile phone number bound to the license plate number of the parked vehicle, the generated payment picture can be sent to the mobile phone number bound to the parked vehicle, which is convenient for the parked vehicle to pay automatically.

[0063] Embodiment 2: Figure 4 It is a block diagram of the composition structure of a smart city parking billing system based on the Internet of Things. In the embodiment of the present invention, a smart city parking billing system based on the Internet of Things, the system includes:

[0064] An acquisition module, configured to acquire the real-time image and parking time of the parking space, and use image recognition technology to obtain the license plate number of the parked vehicle;

[0065] A sending module, configured to find the mobile phone number bound to the parked vehicle according to the license plate number, and send a picture with a payment QR code and parking time to the mobile phone number;

[0066] A response module, configured to respond to the recognition of the picture, jump to the parking fee payment interface, and the payment interface automatically displays the amount of the parking fee, and the parking fee can be paid.

[0067] Figure 5It is a block diagram of the composition structure of the acquisition module in the smart city parking charging system based on the Internet of Things. In an embodiment of the present invention, the acquisition module includes:

[0068] An acquisition unit, configured to acquire real-time images of parking spaces and parking time;

[0069] A preprocessing unit, configured to perform noise filtering and image enhancement on the real-time images of parking spaces;

[0070] A segmentation unit, configured to segment the real-time images of parking spaces into different sub-images;

[0071] A primary recognition unit, configured to sequentially perform primary recognition on all sub-images to recognize the sub-images with license plates;

[0072] A secondary recognition unit, configured to perform secondary recognition on the sub-image to obtain the license plate number of the parked vehicle.

[0073] Figure 6 It is a block diagram of the composition structure of the sending module in the smart city parking charging system based on the Internet of Things. In an embodiment of the present invention, the sending module includes:

[0074] A lookup unit, configured to find the mobile phone number bound to the parked vehicle according to the license plate number;

[0075] A generation unit, configured to obtain the parking time of the parked vehicle and generate a payment picture, where the payment picture includes the parking time and a payment QR code;

[0076] A sending unit, configured to send the payment picture to the mobile phone number bound to the parked vehicle.

[0077] All functions that can be achieved by the smart city parking charging method based on the Internet of Things are completed by a computer device. The computer device includes one or more processors and one or more memories. At least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to implement the functions of the user behavior prediction method based on big data.

[0078] The processor sequentially fetches instructions from the memory, analyzes the instructions, and then completes corresponding operations according to the requirements of the instructions, generating a series of control commands to make each part of the computer act automatically, continuously, and coordinately, becoming an organic whole, realizing the input of the program, the input of data, and the operation and output of results. All arithmetic operations or logical operations generated in this process are completed by the arithmetic unit; the memory includes a read-only memory (ROM), and the read-only memory is used to store computer programs. A protection device is provided outside the memory.

[0079] Exemplarily, a computer program can be divided into one or more modules. One or more modules are stored in a memory and executed by a processor to implement the present invention. One or more modules can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in a terminal device.

[0080] Those skilled in the art can understand that the description of the above service device is merely an example and does not constitute a limitation on the terminal device. It may include more or fewer components than the above description, or combine certain components, or different components. For example, it may include input / output devices, network access devices, buses, etc.

[0081] The so-called processor may be a central processing unit (CPU), or 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, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The above processor is the control center of the above terminal device, and uses various interfaces and lines to connect all parts of the entire user terminal.

[0082] The above memory can be used to store computer programs and / or modules. The above processor realizes various functions of the above terminal device by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as an information collection template display function, a product information release function, etc.); the data storage area can store data created according to the use of the berth status display system (such as product information collection templates corresponding to different product types, product information to be released by different product providers, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, memory, plug-in hard disks, smart media cards (SMCs), secure digital (SD) cards, flash cards, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0083] When the modules / units integrated in a terminal device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the modules / units in the above-mentioned embodiment systems of the present invention, it can also be completed by instructing relevant hardware through a computer program. The above computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can realize the functions of the above-mentioned various system embodiments. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0084] It should be noted that in this article, the term "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, method, article or device including that element.

[0085] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A smart city parking charging method based on the Internet of Things, characterized in that, The method includes: Obtain the real-time image of the parking space and the parking time, and use image recognition technology to obtain the license plate number of the parked vehicle; Find out the mobile phone number bound to the parked vehicle according to the license plate number, and send a picture with a payment QR code and the parking time to this mobile phone number; In response to the recognition of the picture, jump to the parking fee payment interface, and the payment interface automatically displays the amount of the parking fee, and then the parking fee can be paid.

2. The method for charging for smart city parking based on the Internet of Things according to claim 1, wherein, The step of using image recognition technology to obtain the license plate number of the parked vehicle includes: Segment the real-time image of the parking space into different sub-images; Perform a primary recognition on all sub-images in sequence to identify the sub-image with the license plate; Perform a secondary recognition on this sub-image to obtain the license plate number of the parked vehicle.

3. The smart city parking charging method based on the Internet of Things according to claim 2, wherein, Before segmenting the real-time image of the parking space into different sub-images, it also includes filtering out noise and image enhancement for the real-time image of the parking space.

4. The method for charging for smart city parking based on the Internet of Things according to claim 1 or 2, characterized in that, The step of sending a picture with a payment QR code and the parking time to this mobile phone number includes: Obtain the parking time of this parked vehicle, generate a payment picture, and the payment picture includes the parking time and the payment QR code; Send the payment picture to the mobile phone number bound to the parked vehicle.

5. A smart city parking billing system based on the Internet of Things, characterized in that, The system includes: An acquisition module, which is used to obtain the real-time image of the parking space and the parking time, and use image recognition technology to obtain the license plate number of the parked vehicle; A sending module, which is used to find out the mobile phone number bound to the parked vehicle according to the license plate number, and send a picture with a payment QR code and the parking time to this mobile phone number; A response module, which is used to respond to the recognition of the picture, jump to the parking fee payment interface, and the payment interface automatically displays the amount of the parking fee, and then the parking fee can be paid.

6. The Internet of Things-based smart city parking charging system according to claim 5, characterized in that The acquisition module includes: An acquisition unit, which is used to obtain the real-time image of the parking space and the parking time; A preprocessing unit, which is used to filter out noise and image enhancement for the real-time image of the parking space; A segmentation unit, which is used to segment the real-time image of the parking space into different sub-images; A primary recognition unit, which is used to perform a primary recognition on all sub-images in sequence to identify the sub-image with the license plate; A secondary recognition unit, which is used to perform a secondary recognition on this sub-image to obtain the license plate number of the parked vehicle.

7. The Internet of Things-based smart city parking charging system according to claim 5 or 6, characterized in that The sending module includes: A search unit, which is used to find out the mobile phone number bound to the parked vehicle according to the license plate number; A generation unit, which is used to obtain the parking time of this parked vehicle, generate a payment picture, and the payment picture includes the parking time and the payment QR code; A sending unit, which is used to send the payment picture to the mobile phone number bound to the parked vehicle.

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