Intelligent remote control method and system based on parking lot gate

Abstract

The present invention relates to the field of intelligent barriers, and proposes an intelligent remote control method and system based on a parking barrier, the method comprising: obtaining vehicles to be entered and exited at the entrance of the parking lot, and performing intelligent image recognition and intelligent outer contour detection on the vehicles, obtaining intelligent images of vehicles and intelligent outer contour information, using a preset central server to perform high-dimensional mapping on the intelligent outer contour information, performing feature dimension reduction on the high-dimensional parameters of the outer contour, extracting the license plate feature parameters of the vehicles to be entered and exited, and performing parameter verification with the parking lot database, and querying the entry and exit authority according to the verification information, and determining the gate opening priority of the entrance and exit barriers, and regulating the barriers in real time, and after obtaining the real-time regulation instruction, monitoring the vehicle entry and exit status, and calculating the average gate passing time and speed safety value, performing real-time status monitoring according to the speed safety value, identifying the vehicle heading parameters, and closing the barriers when the vehicles to be entered and exited leave the geomagnetic induction area. The present invention can improve the intelligent control efficiency of parking barrier.

Description

Technical Field

[0001] The present invention relates to the field of intelligent barriers, and in particular to an intelligent remote control method and system based on a parking barrier. Background Art

[0002] A parking lot barrier is a device used to control the entry and exit of vehicles in a parking lot. It is usually composed of a robotic arm, a control system, and a sensor. Its function is to restrict the entry and exit of vehicles, effectively manage the parking flow in the parking lot, and ensure safety and order.

[0003] At present, the commonly used parking lot gate control methods mainly include manual operation, infrared sensing and electronic remote control. Manual operation requires manual control of the gate switch, and cannot achieve remote control and automated management; electronic remote control can achieve remote control through radio signals, but has high requirements for signal interference and safety. Therefore, the control method technology of parking lot gates needs further improvement and innovation to improve the intelligent control efficiency of parking lot gates. Summary of the invention

[0004] The present invention provides an intelligent remote control method and system based on a parking lot barrier, the main purpose of which is to improve the intelligent control efficiency of the parking lot barrier.

[0005] To achieve the above-mentioned purpose, the present invention provides an intelligent remote control method based on a parking lot gate, comprising:

[0006] Acquire vehicles waiting to enter or exit the parking lot, perform intelligent image recognition on the vehicles waiting to enter or exit, obtain intelligent vehicle images, perform intelligent contour detection on the intelligent vehicle images, obtain intelligent contour information corresponding to the vehicles waiting to enter or exit, and use a preset central server to perform high-dimensional mapping on the intelligent contour information to obtain high-dimensional contour parameters;

[0007] Performing feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, extracting license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points, and performing parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data;

[0008] Based on the verification information, query the entry and exit authority corresponding to the vehicle to be entered and exited, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and based on the gate opening priority, perform real-time control on the entrance and exit gate to obtain a real-time control instruction;

[0009] Based on the real-time control instructions, the entry and exit status of the vehicles to be entered and exited is monitored, and according to the entry and exit status, the average gate-passing time corresponding to the vehicles to be entered and exited is calculated, and based on the average gate-passing time, the speed safety value corresponding to the vehicles to be entered is calculated;

[0010] Based on the speed safety value, the status of the vehicle to be entered or exited is monitored in real time to obtain real-time status data, and the vehicle direction parameters in the real-time status data are identified. Based on the vehicle direction parameters, the geomagnetic induction area corresponding to the entrance and exit gate is determined, and when the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

[0011] Optionally, performing intelligent image recognition on the vehicle to be entered or exited to obtain the vehicle intelligent image includes:

[0012] Using a preset monitoring device to collect the body image of the vehicle to be entered or exited, and dividing the body image into a main image and a subordinate image;

[0013] Respectively identifying the main pixel positions and the subordinate pixel positions corresponding to the main image and the subordinate image;

[0014] Based on the main pixel position and the subordinate pixel position, respectively analyzing the main image semantic information and the subordinate image semantic information corresponding to the main image and the subordinate image;

[0015] Extracting main feature information and subordinate feature information corresponding to the main image and the subordinate image respectively according to the main image semantic information and the subordinate image semantic information;

[0016] The main image, the subordinate image, the main feature information and the subordinate feature information are combined to obtain the vehicle intelligent image.

[0017] Optionally, performing intelligent detection of the outline of the vehicle intelligent image to obtain intelligent outline information corresponding to the vehicle to be entered or exited includes:

[0018] Identify edge pixels corresponding to the vehicle intelligent image, and map pixel lengths corresponding to the edge pixels;

[0019] Based on the pixel length, detecting the outer contour corner points of the vehicle intelligent image to obtain outer contour corner point data;

[0020] Based on the outline corner point data, the vehicle intelligent image is intelligently filled in with regions to obtain outline intelligent information.

[0021] Optionally, extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimension reduction feature points includes:

[0022] Segmenting the feature characters corresponding to the dimension reduction feature points;

[0023] Performing text extraction on the characteristic characters to obtain character text information;

[0024] Identifying a license plate descriptor in the character text information;

[0025] Based on the license plate descriptor, the license plate feature parameters corresponding to the vehicle to be entered or exited are extracted.

[0026] Optionally, querying the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information includes:

[0027] Performing data analysis on the verification information to obtain analysis data;

[0028] Based on the parsed data, query the vehicle connection information in a preset parking lot management database to identify the permission status of the vehicle connection information;

[0029] Updating the permission status to the permission log corresponding to the vehicle to be entered or exited;

[0030] Based on the authority log, the entry and exit authority corresponding to the vehicle to be entered and exited is determined.

[0031] Optionally, determining the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority includes:

[0032] Based on the entry and exit permissions, establish an authority level system corresponding to the vehicles to be entered and exited;

[0033] Based on the authority level system, planning the gate settings corresponding to the preset entrance and exit gates;

[0034] Based on the gate setting, configure the access control system corresponding to the preset entrance and exit gate;

[0035] Based on the access control system, the gate opening priority corresponding to the preset entrance and exit gates is determined.

[0036] Optionally, the calculating, according to the entry and exit status, an average gate-passing time corresponding to the vehicle to be entered and exited includes:

[0037] The average gate-passing time corresponding to the vehicles to be entered or exited is calculated using the following formula:

[0038] ;

[0039] Wherein, AT represents the average gate-passing time corresponding to the vehicles to be entered and exited, represents the number index of the vehicles to be entered or exited, Indicates the total number of vehicles to be entered or exited, Indicates The time it takes for a vehicle to pass through the crossing. Indicates Vehicle entry and exit status parameters, Indicates the status parameter The corresponding state function.

[0040] Optionally, the calculating, based on the average gate-passing time, a speed safety value corresponding to the vehicle to be entered includes:

[0041] The speed safety value corresponding to the vehicle to be entered is calculated using the following formula:

[0042] ;

[0043] in, represents the speed safety value corresponding to the vehicle to be entered, j represents the vehicle index of the vehicle to be entered or exited, represents the time required for the jth vehicle to pass through the crossing, AT represents the average gate-passing time corresponding to the vehicles to be entered or exited, represents the driver's technical score of the jth vehicle, represents the driver's technical level, represents the passenger capacity index of the j-th vehicle, Represents the vehicle condition index of the jth vehicle.

[0044] Optionally, based on the speed safety value, real-time monitoring of the status of the vehicles to be entered or exited is performed to obtain real-time status data, including:

[0045] Using the speed safety value as the speed standard corresponding to the vehicle to be entered or exited;

[0046] Based on the speed standard, real-time speed detection is performed on the vehicle to be entered or exited to obtain the real-time speed of the vehicle;

[0047] Performing status identification on the real-time speed of the vehicle to obtain a vehicle identification status;

[0048] Extracting real-time status data from the vehicle identification status.

[0049] In order to solve the above problems, the present invention also provides an intelligent remote control system based on a parking lot gate, the system comprising:

[0050] A high-dimensional mapping module is used to obtain vehicles waiting to enter or exit the parking lot, perform intelligent image recognition on the vehicles waiting to enter or exit, obtain intelligent vehicle images, perform intelligent contour detection on the intelligent vehicle images, obtain intelligent contour information corresponding to the vehicles waiting to enter or exit, and perform high-dimensional mapping on the intelligent contour information using a preset central server to obtain high-dimensional contour parameters;

[0051] A parameter verification module is used to perform feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, extract the license plate feature parameters corresponding to the vehicle to be entered and exited based on the dimensionality reduction feature points, and perform parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data;

[0052] A real-time control module is used to query the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and based on the gate opening priority, perform real-time control on the entrance and exit gate to obtain a real-time control instruction;

[0053] A safety value calculation module is used to monitor the entry and exit status of the vehicles to be entered and exited based on the real-time control instructions, and calculate the average gate-passing time corresponding to the vehicles to be entered and exited according to the entry and exit status, and calculate the speed safety value corresponding to the vehicles to be entered based on the average gate-passing time;

[0054] The geomagnetic induction module is used to monitor the status of the vehicle to be entered or exited in real time based on the speed safety value, obtain real-time status data, identify the vehicle direction parameters in the real-time status data, and determine the geomagnetic induction area corresponding to the entrance and exit gate based on the vehicle direction parameters. When the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

[0055] The present invention not only helps to improve the management efficiency and safety of the parking lot by obtaining the vehicles to be entered and exited at the parking lot entrance, but also provides a basis for data analysis and automatic control, and promotes the improvement of the parking lot management level. The present invention performs feature dimension reduction on the high-dimensional parameters of the outer contour to obtain the dimension reduction feature points, which can help filter out noise and redundant features, retain the most important features, and improve the subsequent data quality processing effect. The present invention queries the entry and exit permissions corresponding to the vehicles to be entered and exited based on the verification information, which can effectively manage the vehicle flow in the parking lot, avoid congestion or chaos, and optimize the operation efficiency of the parking lot. The present invention monitors the entry and exit status of the vehicles to be entered and exited based on the real-time control instructions, and according to the entry and exit status, it can reasonably allocate traffic resources, reduce vehicle waiting time, and improve the traffic efficiency of the gate. The present invention monitors the status of the vehicles to be entered and exited in real time based on the speed safety value, obtains real-time status data, can ensure the safety of the intersection, optimize traffic management, improve the operation efficiency of the parking lot, and provide data support for subsequent gate decisions. Therefore, the intelligent remote control method and system based on the parking lot gate proposed by the present invention can improve the intelligent control efficiency of the parking lot gate. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A schematic diagram of a flow chart of an intelligent remote control method based on a parking lot gate provided by an embodiment of the present invention;

[0057] Figure 2 A schematic diagram of a module of an intelligent remote control system based on a parking lot gate provided by an embodiment of the present invention;

[0058] Figure 3 A schematic diagram of the internal structure of an electronic device for an intelligent remote control method for a parking lot barrier provided in accordance with an embodiment of the present invention.

[0059] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0060] 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.

[0061] The embodiment of the present application provides an intelligent remote control method based on a parking lot barrier. The execution subject of the intelligent remote control method based on the parking lot barrier includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the intelligent remote control method based on the parking lot barrier can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0062] Reference Figure 1 FIG. 1 is a flow chart of an intelligent remote control method based on a parking lot barrier provided by an embodiment of the present invention. In this embodiment, the intelligent remote control method based on a parking lot barrier includes:

[0063] S1. Acquire vehicles waiting to enter or exit a parking lot, perform intelligent image recognition on the vehicles to enter or exit, obtain intelligent vehicle images, perform contour intelligent detection on the intelligent vehicle images, obtain contour intelligent information corresponding to the vehicles to enter or exit, and use a preset central server to perform high-dimensional mapping on the contour intelligent information to obtain contour high-dimensional parameters.

[0064] The present invention not only helps to improve the management efficiency and safety of the parking lot by acquiring the vehicles waiting to enter and exit the parking lot entrance, but also provides a basis for data analysis and automatic control, thereby promoting the improvement of the parking lot management level.

[0065] Among them, the vehicles to be entered and exited refer to vehicles that are about to enter or leave the parking lot. These vehicles need to pass through the gate for entry and exit control. Optionally, the vehicles to be entered and exited at the entrance of the parking lot can be obtained through area monitoring probes, such as: the vehicle situation in the designated area can be monitored in real time, and the vehicle's location, movement trajectory and other information can be obtained.

[0066] The present invention obtains a vehicle intelligent image by performing intelligent image recognition on the vehicle to be entered or exited, thereby improving the efficiency, accuracy and safety of parking lot gate control and providing more data support and decision-making basis for subsequent parking lot management.

[0067] The vehicle intelligent image refers to vehicle image data obtained through processing and synthesis and having intelligent recognition and analysis functions.

[0068] As an embodiment of the present invention, the intelligent image recognition of the vehicle to be entered or exited to obtain the vehicle intelligent image includes: using a preset monitoring device to collect the body image of the vehicle to be entered or exited, and dividing the body image into a main image and a subordinate image; respectively identifying the main pixel points and the subordinate pixel points corresponding to the main image and the subordinate image; based on the main pixel points and the subordinate pixel points, respectively analyzing the main image semantic information and the subordinate image semantic information corresponding to the main image and the subordinate image; according to the main image semantic information and the subordinate image semantic information, respectively extracting the main feature information and the subordinate feature information corresponding to the main image and the subordinate image; combining the main image, the subordinate image, the main feature information and the subordinate feature information to obtain the vehicle intelligent image.

[0069] Among them, the preset monitoring equipment refers to a monitoring equipment set in advance for collecting vehicle images; the vehicle body image refers to the overall body image of the vehicle to be entered or exited; the main image refers to the image area of ​​the main part or the main body in the vehicle body image; the subordinate image refers to the secondary part or the subordinate image area in the vehicle body image; the main pixel position refers to the key pixel position corresponding to the main image; the subordinate pixel position refers to the key pixel position corresponding to the subordinate image; the main image semantic information refers to the semantic information or content contained in the main image; the subordinate image semantic information refers to the semantic information or content contained in the subordinate image; the main feature information refers to the key feature information extracted from the main image; the subordinate feature information refers to the key feature information extracted from the subordinate image.

[0070] Furthermore, the body image of the vehicle to be entered or exited collected by using a preset monitoring device can be obtained through a convolutional neural network, such as YOLO, SSD, etc.; the identification of the main pixel points and the slave pixel points corresponding to the main image and the slave image can be obtained through feature extraction and matching algorithms, such as SIFT, SURF and other algorithms; the analysis of the main image semantic information and the slave image semantic information corresponding to the main image and the slave image can be obtained through a pre-trained CNN model, such as VGG16, ResNet and other models; the extraction of the main feature information and the slave feature information corresponding to the main image and the slave image can be obtained through a feature extraction algorithm, such as PCA, LBP and other algorithms.

[0071] The present invention obtains the intelligent outline information corresponding to the vehicle to be entered or exited by performing intelligent outline detection on the vehicle intelligent image, which can accurately obtain the vehicle outline information and avoid recognition errors caused by human factors, thereby helping to improve the accuracy and reliability of the data and providing a more reliable basis for subsequent decision-making.

[0072] The outline intelligent information refers to the detailed information about the vehicle shape obtained by performing regional intelligent filling on the vehicle intelligent image using outline corner point data.

[0073] As an embodiment of the present invention, the intelligent detection of the outline of the vehicle intelligent image is performed to obtain the intelligent outline information corresponding to the vehicle to be entered or exited, including: identifying edge pixels corresponding to the vehicle intelligent image; mapping the pixel length corresponding to the edge pixels; based on the pixel length, performing contour corner point detection on the vehicle intelligent image to obtain contour corner point data; based on the contour corner point data, performing region intelligent filling on the vehicle intelligent image to obtain contour intelligent information.

[0074] Among them, the edge pixel refers to the pixel point representing the outer contour of the vehicle in the vehicle intelligent image; the pixel length refers to the process of mapping the edge pixel to the actual length or distance, which is used to measure the line segment length of the vehicle shape on the image; the outer contour corner point data refers to the vertex coordinates or data obtained by performing outer contour corner point detection on the vehicle intelligent image.

[0075] Furthermore, the identification of edge pixels corresponding to the vehicle intelligent image can be obtained through an edge detection algorithm, such as: U-Net, Mask R-CNN and other algorithms; the mapping of pixel lengths corresponding to the edge pixels can be obtained through a distance transformation method; the detection of outer contour corners of the vehicle intelligent image can be obtained through a corner detection algorithm, such as: Harris, Shi-Tomasi, FAST and other algorithms; the intelligent filling of regions of the vehicle intelligent image can be obtained through a generative adversarial network, such as: Pix2Pix, CycleGAN and the like.

[0076] The present invention uses a preset central server to perform high-dimensional mapping on the outline intelligent information to obtain outline high-dimensional parameters, which can convert the outline intelligent information into richer and more representative high-dimensional parameters, which helps to more accurately describe and explain data features.

[0077] Among them, the high-dimensional parameters of the outline refer to the external characteristic parameters or boundary attributes of the vehicle in the multi-dimensional space. These parameters may involve the shape, size, contour and other related features of the vehicle, and are used to describe the appearance and structure of the object in the multi-dimensional space. Optionally, the high-dimensional mapping of the outline intelligent information using a preset central server can be obtained by the PCA algorithm in Scikit-learn.

[0078] S2, performing feature dimensionality reduction on the high-dimensional parameters of the outer contour to obtain dimensionality reduction feature points, extracting license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points, and performing parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data;

[0079] The present invention performs feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, which can help filter out noise and redundant features, retain the most important features, and improve the subsequent data quality processing effect.

[0080] Among them, the dimensionality reduction feature point refers to a new feature vector or feature combination obtained after processing the original high-dimensional data, which retains the most important information in the original data and reduces the dimension of the data, making the data easier to process, analyze and understand; optionally, the feature dimensionality reduction of the contour high-dimensional parameters can be achieved through linear dimensionality reduction technology, such as: PCA, t-SNE, LDA and other methods.

[0081] The present invention extracts the license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points, which can improve recognition accuracy, improve processing efficiency and enhance system robustness, thereby improving the overall performance of the intelligent parking lot gate system.

[0082] The license plate feature parameters refer to the features extracted from the license plate descriptor, which may include parameter information on shape, color, text style, etc.

[0083] As an embodiment of the present invention, extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points includes: segmenting the feature characters corresponding to the dimensionality reduction feature points; performing text extraction on the feature characters to obtain character text information; identifying the license plate descriptor in the character text information; and extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the license plate descriptor.

[0084] Among them, the feature character refers to the key feature representing the character on the license plate extracted from the dimensionality reduction feature point; the character text information refers to the text content representing the license plate character extracted from the feature character; the license plate descriptor refers to the feature used to describe the license plate obtained after processing and extracting the identified character text information.

[0085] Furthermore, the characteristic characters can be obtained through character segmentation algorithms, such as vertical projection segmentation, connected component segmentation and other methods; the character text information can be obtained through text extraction technology, such as OCR, NLP and the like; the license plate descriptor can be obtained through text recognition technology or pattern recognition method; the license plate feature parameters can be obtained through feature extraction algorithms, such as PCA, LBP, HOG and other algorithms.

[0086] The present invention verifies the characteristic parameters of the license plate with a preset parking lot database to obtain verification data, which can ensure that only legal vehicles are allowed to enter and exit the parking lot, and can effectively prevent theft, intrusion and other illegal activities, thereby improving the overall safety of the parking lot.

[0087] The verification data refers to the result data obtained by performing parameter verification on the characteristic parameters of the license plate and the preset parking lot database. Optionally, the verification data can be obtained through license plate recognition technology, such as OpenALPR, EasyPR and other technologies.

[0088] S3. Based on the verification information, query the entry and exit permissions corresponding to the vehicle to be entered and exited, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit permissions. Based on the gate opening priority, the entrance and exit gate is controlled in real time to obtain a real-time control instruction.

[0089] The present invention queries the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information, which can effectively manage the vehicle flow in the parking lot, avoid congestion or chaos, and optimize the operation efficiency of the parking lot.

[0090] The entry and exit authority refers to the actual entry and exit authority of the vehicle determined based on the latest record in the authority log, that is, whether the vehicle is allowed to enter or leave the parking lot.

[0091] As an embodiment of the present invention, querying the entry and exit permissions corresponding to the vehicle to be entered and exited based on the verification information includes: performing data analysis on the verification information to obtain analysis data; based on the analysis data, querying the vehicle connection information in a preset parking lot management database; identifying the permission status of the vehicle connection information; updating the permission status to the permission log corresponding to the vehicle to be entered and exited; and determining the entry and exit permissions corresponding to the vehicle to be entered and exited based on the permission log.

[0092] Among them, the parsed data refers to the relevant information obtained by parsing the verification information, such as license plate number, entry time, exit time, etc.; the vehicle connection information refers to the vehicle information associated with the license plate number in the preset parking lot management database, including the owner's name, authorization status, entry and exit permissions, etc.; the permission status refers to the entry and exit permission status of the vehicle to be entered and exited determined according to the authorization status in the vehicle connection information, such as valid or invalid; the permission log refers to a log record that records the history of changes in the vehicle's entry and exit permission status, which is used to trace back and query the vehicle's permission status.

[0093] Furthermore, the parsed data can be obtained through text parsing algorithms, such as word segmentation, part-of-speech tagging and other algorithms; the vehicle connection information can be obtained through a parking lot management system, database query or vehicle management platform; the authority status can be obtained through a machine learning algorithm, such as a decision tree, logistic regression or support vector machine; the authority log can be obtained through a log recording tool or a database.

[0094] The present invention determines the opening priority corresponding to the preset entrance and exit gates according to the entry and exit permissions, so that the traffic flow can be more evenly distributed to each entrance and exit, thereby improving the operating efficiency of the overall traffic system.

[0095] Among them, the gate opening priority refers to the gate opening priority order of the preset entrance and exit gates determined based on the access control system and the authority level system.

[0096] As an embodiment of the present invention, determining the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit permissions includes: establishing an authority level system corresponding to the vehicles to be entered and exited based on the entry and exit permissions; planning the gate settings corresponding to the preset entrance and exit gate based on the authority level system; configuring the access control system corresponding to the preset entrance and exit gate based on the gate settings; and determining the gate opening priority corresponding to the preset entrance and exit gate based on the access control system.

[0097] Among them, the authority level system refers to establishing a level system to determine the level of vehicle authority based on the vehicle's entry and exit permissions; the gate setting refers to planning the specific settings of the preset entrance and exit gates based on the authority level system; the access control system refers to configuring the corresponding access control system for the preset entrance and exit gates to control the opening and closing of the gates.

[0098] Furthermore, the authority level system can be achieved through a hierarchical access control model, such as Bell-LaPadula, Biba and other models; the gate setting can be achieved through an intelligent optimization algorithm, such as a genetic algorithm, a simulated annealing algorithm and other algorithms; the access control system can be achieved through vehicle identification technology, such as license plate recognition technology, RFID technology, face recognition technology and other technologies; the gate opening priority can be achieved through a real-time scheduling algorithm, such as the shortest job first, the highest response ratio first and other algorithms.

[0099] The present invention performs real-time regulation of the entrance and exit barriers based on the gate opening priority to obtain real-time regulation instructions. It can reasonably allocate traffic resources according to actual traffic conditions and road load conditions, avoid excessive congestion or waste of resources, and achieve optimal control of traffic flow.

[0100] Among them, the real-time control instructions refer to commands for controlling traffic flow by adjusting the opening or closing of entrance and exit gates according to vehicle traffic conditions and road load conditions, and these instructions can change dynamically according to traffic conditions so as to reasonably allocate traffic resources, prevent traffic congestion, reduce resource waste, and ultimately achieve the purpose of optimizing and controlling traffic flow. Optionally, the real-time control of the entrance and exit gates can be achieved through control tools, such as: PLC, sensors, cameras and other tools.

[0101] S4, based on the real-time control instruction, monitoring the entry and exit status of the vehicles to be entered and exited, and calculating the average gate-passing time corresponding to the vehicles to be entered and exited according to the entry and exit status, and calculating the speed safety value corresponding to the vehicles to be entered based on the average gate-passing time;

[0102] The present invention monitors the entry and exit status of the vehicles to be entered and exited based on the real-time control instructions, and can reasonably allocate traffic resources according to the entry and exit status, reduce vehicle waiting time, and improve the traffic efficiency of the gate.

[0103] Among them, the entry and exit status refers to the status of the vehicle entering or leaving the gate. Optionally, the monitoring of the entry and exit status of the vehicle to be entered and exited can be achieved through image processing and computer vision algorithms. For example, through vehicle detection and tracking algorithms, it can be determined in real time whether the vehicle enters or leaves the gate.

[0104] As an embodiment of the present invention, the calculating, according to the entry and exit status, the average gate-passing time corresponding to the vehicle to be entered and exited includes:

[0105] The average gate-passing time corresponding to the vehicles to be entered or exited is calculated using the following formula:

[0106] ;

[0107] Wherein, AT represents the average gate-passing time corresponding to the vehicles to be entered and exited, represents the number index of the vehicles to be entered or exited, Indicates the total number of vehicles to be entered or exited, Indicates The time it takes for a vehicle to pass through the crossing. Indicates Vehicle entry and exit status parameters, Indicates the status parameter The corresponding state function.

[0108] As another embodiment of the present invention, the calculating, based on the average gate-passing time, the speed safety value corresponding to the vehicle to be entered includes:

[0109] The speed safety value corresponding to the vehicle to be entered is calculated using the following formula:

[0110] ;

[0111] in, represents the speed safety value corresponding to the vehicle to be entered, j represents the vehicle index of the vehicle to be entered or exited, represents the time required for the jth vehicle to pass through the crossing, AT represents the average gate-passing time corresponding to the vehicles to be entered or exited, represents the driver's technical score of the jth vehicle, represents the driver's technical level, represents the passenger capacity index of the j-th vehicle, Represents the vehicle condition index of the jth vehicle.

[0112] S5. Based on the speed safety value, the status of the vehicle to be entered or exited is monitored in real time to obtain real-time status data, the vehicle direction parameters in the real-time status data are identified, and based on the vehicle direction parameters, the geomagnetic induction area corresponding to the entrance and exit gate is determined, and when the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

[0113] The present invention monitors the status of the vehicles to be entered and exited in real time based on the speed safety value to obtain real-time status data, which can ensure intersection safety, optimize traffic management, improve the operation efficiency of the parking lot, and provide data support for subsequent gate decisions.

[0114] The real-time status data refers to the instant data obtained by monitoring and recording the key information and parameters of the vehicles to be entered and exited.

[0115] As an embodiment of the present invention, the status of the vehicle to be entered or exited is monitored in real time based on the speed safety value to obtain real-time status data, including: taking the speed safety value as the speed standard corresponding to the vehicle to be entered or exited; based on the speed standard, performing real-time speed detection on the vehicle to be entered or exited to obtain the real-time speed of the vehicle; status identification of the real-time speed of the vehicle to obtain the vehicle identification status; and extracting the real-time status data in the vehicle identification status.

[0116] Among them, the speed standard refers to the appropriate speed safety value determined according to factors such as road conditions, traffic regulations and vehicle type; the real-time vehicle speed refers to the actual speed value obtained by real-time detection of the speed of the vehicle to be entered or exited by on-board sensors or other speed measuring equipment; the vehicle identification status refers to comparing the real-time speed of the vehicle to be entered or exited with the speed standard to determine whether the vehicle is within the safe speed range, and identifying the corresponding status for the vehicle, such as "normal", "speeding", "too slow", etc.

[0117] Furthermore, the real-time speed detection of the vehicle to be entered or exited can be obtained by a speed sensor, such as a vehicle speed sensor, a wheel speed sensor, etc.; the state identification of the real-time vehicle speed can be obtained by a machine learning model, such as a logistic regression, a support vector machine, etc. model; the extraction of real-time state data from the vehicle identification state can be obtained by a real-time stream processing framework, such as Apache Kafka, Apache Flink, etc.

[0118] By identifying the vehicle heading parameters in the real-time status data, the present invention can detect potential dangerous driving behaviors in advance, such as driving in the wrong direction, illegal turning, etc., so as to take safety warning measures in time and reduce the risk of accidents.

[0119] Among them, the vehicle heading parameters may include information such as the current direction of the vehicle, the vehicle's turning signal, and the vehicle's trajectory changes. Optionally, the identification of the vehicle heading parameters in the real-time status data can monitor the vehicle's position and movement in real time and determine the vehicle's direction of travel through target detection and tracking algorithms.

[0120] The present invention determines the geomagnetic induction area corresponding to the entrance and exit gate based on the vehicle heading parameters, which can improve the automation and efficiency of entrance and exit management, increase safety, and achieve more accurate billing and statistical analysis.

[0121] The geomagnetic induction area refers to a specific area used to trigger the opening or closing operation of the gate.

[0122] As an embodiment of the present invention, determining the geomagnetic induction area corresponding to the entrance and exit gate based on the vehicle heading parameters includes: performing data filtering on the vehicle heading parameters to obtain heading filtering parameters; performing regional correction on the heading filtering parameters to obtain regional correction parameters; and determining the geomagnetic induction area corresponding to the entrance and exit gate based on the regional correction parameters.

[0123] The driving direction filtering parameter refers to a driving direction parameter that meets the requirements obtained through data filtering; and the area correction parameter refers to a parameter obtained by correction based on the driving direction filtering parameter.

[0124] Furthermore, the data filtering of the vehicle direction parameters can be achieved through a filtering algorithm, such as: mean filtering, median filtering and other algorithms; the regional correction of the direction filtering parameters can be achieved through a geometric correction model; the determination of the geomagnetic induction area corresponding to the entrance and exit gate can be achieved through a machine learning classification model.

[0125] In the present invention, when the vehicle to be entered or exited drives out of the geomagnetic induction area, the entrance and exit gate is closed, which not only improves safety and management efficiency, but also reduces the risk of human operation errors, provides a more convenient and fast experience for vehicle passage, and optimizes traffic flow control, ensuring that only verified vehicles can enter or leave the area, effectively improving the passing efficiency of the parking lot gate.

[0126] The present invention not only helps to improve the management efficiency and safety of the parking lot by obtaining the vehicles to be entered and exited at the parking lot entrance, but also provides a basis for data analysis and automatic control, and promotes the improvement of the parking lot management level. The present invention performs feature dimension reduction on the high-dimensional parameters of the outer contour to obtain the dimension reduction feature points, which can help filter out noise and redundant features, retain the most important features, and improve the subsequent data quality processing effect. The present invention queries the entry and exit permissions corresponding to the vehicles to be entered and exited based on the verification information, which can effectively manage the vehicle flow in the parking lot, avoid congestion or chaos, and optimize the operation efficiency of the parking lot. The present invention monitors the entry and exit status of the vehicles to be entered and exited based on the real-time control instructions, and according to the entry and exit status, it can reasonably allocate traffic resources, reduce vehicle waiting time, and improve the traffic efficiency of the gate. The present invention monitors the status of the vehicles to be entered and exited in real time based on the speed safety value, obtains real-time status data, can ensure the safety of the intersection, optimize traffic management, improve the operation efficiency of the parking lot, and provide data support for subsequent gate decisions. Therefore, the intelligent remote control method and system based on the parking lot gate proposed by the present invention can improve the intelligent control efficiency of the parking lot gate.

[0127] like Figure 2 , is a functional module diagram of an intelligent remote control system based on a parking lot barrier provided in one embodiment of the present invention.

[0128] The intelligent remote control system 200 based on parking lot gate of the present invention can be installed in an electronic device. According to the functions to be implemented, the intelligent remote control system 200 based on parking lot gate can include a high-dimensional mapping module 201, a parameter verification module 202, a real-time control module 203, a safety value calculation module 204 and a geomagnetic induction module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0129] In this embodiment, the functions of each module / unit are as follows:

[0130] The high-dimensional mapping module 201 is used to obtain vehicles to be entered or exited at the parking lot entrance, perform intelligent image recognition on the vehicles to be entered or exited, obtain intelligent vehicle images, perform contour intelligent detection on the intelligent vehicle images, obtain contour intelligent information corresponding to the vehicles to be entered or exited, and perform high-dimensional mapping on the contour intelligent information using a preset central server to obtain contour high-dimensional parameters;

[0131] The parameter verification module 202 is used to perform feature dimension reduction on the high-dimensional parameters of the outer contour to obtain dimension reduction feature points, extract the license plate feature parameters corresponding to the vehicle to be entered and exited based on the dimension reduction feature points, and perform parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data;

[0132] The real-time control module 203 is used to query the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and perform real-time control on the entrance and exit gate based on the gate opening priority to obtain a real-time control instruction;

[0133] The safety value calculation module 204 is used to monitor the entry and exit status of the vehicles to be entered and exited based on the real-time control instructions, and calculate the average gate-passing time corresponding to the vehicles to be entered and exited according to the entry and exit status, and calculate the speed safety value corresponding to the vehicles to be entered based on the average gate-passing time;

[0134] The geomagnetic induction module 205 is used to monitor the status of the vehicle to be entered or exited in real time based on the speed safety value, obtain real-time status data, identify the vehicle direction parameters in the real-time status data, and determine the geomagnetic induction area corresponding to the entrance and exit gate based on the vehicle direction parameters. When the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

[0135] In detail, the modules described in the intelligent remote control system 200 based on the parking lot gate described in the embodiment of the present invention adopt the same technical means as the intelligent remote control method based on the parking lot gate described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0136] like Figure 3 , which is a schematic diagram of the structure of an electronic device for realizing an intelligent remote control method based on a parking lot barrier according to the present invention.

[0137] The electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as an engineering safety supervision program based on artificial intelligence.

[0138] In some embodiments, the processor 30 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 30 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes various functions and processes data of the electronic device by running or executing programs or modules stored in the memory 31 (for example, executing engineering safety supervision programs based on artificial intelligence, etc.), and calling data stored in the memory 31.

[0139] The memory 31 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 31 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 31 may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 31 may also include both an internal storage unit of the electronic device and an external storage device. The memory 31 may not only be used to store application software and various types of data installed in the electronic device, such as the code of the database configuration connection program, but also be used to temporarily store data that has been output or is to be output.

[0140] The communication bus 32 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 31 and at least one processor 30, etc.

[0141] The communication interface 33 is used for communication between the above-mentioned electronic device 3 and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0142] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0143] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 30 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0144] It should be understood that the embodiment is for illustrative purposes only and the scope of the patent invention is not limited to this structure.

[0145] The database configuration connection program stored in the memory 31 in the electronic device is a combination of multiple computer programs. When running in the processor 30, it can achieve:

[0146] Acquire vehicles waiting to enter or exit the parking lot, perform intelligent image recognition on the vehicles waiting to enter or exit, obtain intelligent vehicle images, perform intelligent contour detection on the intelligent vehicle images, obtain intelligent contour information corresponding to the vehicles waiting to enter or exit, and use a preset central server to perform high-dimensional mapping on the intelligent contour information to obtain high-dimensional contour parameters;

[0147] Performing feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, extracting license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points, and performing parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data;

[0148] Based on the verification information, query the entry and exit authority corresponding to the vehicle to be entered and exited, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and based on the gate opening priority, perform real-time control on the entrance and exit gate to obtain a real-time control instruction;

[0149] Based on the real-time control instructions, the entry and exit status of the vehicles to be entered and exited is monitored, and according to the entry and exit status, the average gate-passing time corresponding to the vehicles to be entered and exited is calculated, and based on the average gate-passing time, the speed safety value corresponding to the vehicles to be entered is calculated;

[0150] Based on the speed safety value, the status of the vehicle to be entered or exited is monitored in real time to obtain real-time status data, and the vehicle direction parameters in the real-time status data are identified. Based on the vehicle direction parameters, the geomagnetic induction area corresponding to the entrance and exit gate is determined, and when the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

[0151] Specifically, the specific implementation method of the processor 30 for the above computer program can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0152] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium. The storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0153] The present invention further provides a storage medium, wherein the readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0154] Acquire vehicles waiting to enter or exit the parking lot, perform intelligent image recognition on the vehicles waiting to enter or exit, obtain intelligent vehicle images, perform intelligent contour detection on the intelligent vehicle images, obtain intelligent contour information corresponding to the vehicles waiting to enter or exit, and use a preset central server to perform high-dimensional mapping on the intelligent contour information to obtain high-dimensional contour parameters;

[0155] Performing feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, extracting license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points, and performing parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data;

[0156] Based on the verification information, query the entry and exit authority corresponding to the vehicle to be entered and exited, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and based on the gate opening priority, perform real-time control on the entrance and exit gate to obtain a real-time control instruction;

[0157] Based on the real-time control instructions, the entry and exit status of the vehicles to be entered and exited is monitored, and according to the entry and exit status, the average gate-passing time corresponding to the vehicles to be entered and exited is calculated, and based on the average gate-passing time, the speed safety value corresponding to the vehicles to be entered is calculated;

[0158] Based on the speed safety value, the status of the vehicle to be entered or exited is monitored in real time to obtain real-time status data, and the vehicle direction parameters in the real-time status data are identified. Based on the vehicle direction parameters, the geomagnetic induction area corresponding to the entrance and exit gate is determined, and when the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

[0159] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0160] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0161] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0162] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0163] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0164] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0165] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An intelligent remote control method based on a parking lot gate, characterized in that: The method comprises: Acquire vehicles waiting to enter or exit the parking lot, perform intelligent image recognition on the vehicles waiting to enter or exit, obtain intelligent vehicle images, perform intelligent contour detection on the intelligent vehicle images, obtain intelligent contour information corresponding to the vehicles waiting to enter or exit, and use a preset central server to perform high-dimensional mapping on the intelligent contour information to obtain high-dimensional contour parameters; The high-dimensional parameters of the outer contour refer to the external characteristic parameters or boundary attributes of the vehicle in the multi-dimensional space, which are used to describe the appearance and structure of the object in the multi-dimensional space; The intelligent image recognition of the vehicle to be entered or exited to obtain the vehicle intelligent image comprises: using a preset monitoring device to collect the body image of the vehicle to be entered or exited, and dividing the body image into a main image and a subordinate image; respectively identifying the main pixel points and the subordinate pixel points corresponding to the main image and the subordinate image; based on the main pixel points and the subordinate pixel points, respectively analyzing the main image semantic information and the subordinate image semantic information corresponding to the main image and the subordinate image; respectively extracting the main feature information and the subordinate feature information corresponding to the main image and the subordinate image according to the main image semantic information and the subordinate image semantic information; combining the main image, the subordinate image, the main feature information and the subordinate feature information to obtain the vehicle intelligent image; The preset monitoring device refers to a monitoring device that is pre-set for collecting vehicle images; the vehicle body image refers to the overall body image of the vehicle to be entered or exited; the main image refers to the image area of ​​the main part or the main body in the vehicle body image; the subordinate image refers to the secondary part or the subordinate image area in the vehicle body image; the main pixel position refers to the key pixel position corresponding to the main image; the subordinate pixel position refers to the key pixel position corresponding to the subordinate image; the main image semantic information refers to the semantic information or content contained in the main image; the subordinate image semantic information refers to the semantic information or content contained in the subordinate image; the main feature information refers to the key feature information extracted from the main image; the subordinate feature information refers to the key feature information extracted from the subordinate image; The intelligent detection of the outer contour of the vehicle intelligent image is performed to obtain the intelligent outer contour information corresponding to the vehicle to be entered or exited, including: identifying edge pixels corresponding to the vehicle intelligent image, and mapping the pixel length corresponding to the edge pixels; based on the pixel length, performing outer contour corner point detection on the vehicle intelligent image to obtain outer contour corner point data; based on the outer contour corner point data, performing region intelligent filling on the vehicle intelligent image to obtain outer contour intelligent information; The outline intelligent information refers to the detailed information about the vehicle shape obtained by performing region intelligent filling on the vehicle intelligent image using the outline corner point data; The edge pixel refers to the pixel point representing the outer contour of the vehicle in the vehicle intelligent image; the pixel length refers to the process of mapping the edge pixel to the actual length or distance, which is used to measure the line segment length of the vehicle shape on the image; the outer contour corner point data refers to the vertex coordinates or data obtained by performing outer contour corner point detection on the vehicle intelligent image; Performing feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, extracting license plate feature parameters corresponding to the vehicle to be entered or exited based on the dimensionality reduction feature points, and performing parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data; The extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the reduced dimension feature points includes: segmenting the feature characters corresponding to the reduced dimension feature points; performing text extraction on the feature characters to obtain character text information; identifying the license plate descriptor in the character text information; and extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the license plate descriptor; The characteristic characters refer to the key features representing the characters on the license plate extracted from the dimension reduction feature points; the character text information refers to the text content representing the license plate characters extracted from the characteristic characters; the license plate descriptor refers to the features used to describe the license plate obtained by processing and extracting the recognized character text information; Based on the verification information, query the entry and exit authority corresponding to the vehicle to be entered and exited, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and based on the gate opening priority, perform real-time control on the entrance and exit gate to obtain a real-time control instruction; The querying of the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information includes: performing data analysis on the verification information to obtain analysis data; based on the analysis data, querying the vehicle connection information in a preset parking lot management database to identify the authority status of the vehicle connection information; updating the authority status to the authority log corresponding to the vehicle to be entered and exited; and determining the entry and exit authority corresponding to the vehicle to be entered and exited based on the authority log; The parsed data refers to the relevant information obtained by parsing the verification information; the vehicle connection information refers to the vehicle information associated with the license plate number in the preset parking lot management database; the authority status refers to the entry and exit authority status of the vehicle to be entered and exited determined according to the authorization status in the vehicle connection information; the authority log refers to the log record that records the history of vehicle entry and exit authority status changes, which is used to trace back and query the vehicle's authority status; Determining the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority includes: establishing an authority level system corresponding to the vehicles to be entered and exited based on the entry and exit authority; planning the gate setting corresponding to the preset entrance and exit gate based on the authority level system; configuring the access control system corresponding to the preset entrance and exit gate based on the gate setting; determining the gate opening priority corresponding to the preset entrance and exit gate based on the access control system; The authority level system refers to establishing a level system to determine the level of vehicle authority based on the vehicle's entry and exit authority; the gate setting refers to planning the specific setting of the preset entrance and exit gates based on the authority level system; the access control system refers to configuring the corresponding access control system for the preset entrance and exit gates to control the opening and closing of the gates; Based on the real-time control instructions, the entry and exit status of the vehicles to be entered and exited is monitored, and according to the entry and exit status, the average gate-passing time corresponding to the vehicles to be entered and exited is calculated, and based on the average gate-passing time, the speed safety value corresponding to the vehicles to be entered is calculated; Calculating the average gate-passing time corresponding to the vehicles to be entered and exited according to the entry and exit status includes: The average gate-passing time corresponding to the vehicles to be entered or exited is calculated using the following formula: ； Wherein, AT represents the average gate-passing time corresponding to the vehicles to be entered and exited, represents the number index of the vehicles to be entered or exited, Indicates the total number of vehicles to be entered or exited, Indicates The time it takes for a vehicle to pass through the crossing. Indicates Vehicle entry and exit status parameters, Indicates the status parameter The corresponding state function; The calculating, based on the average gate-passing time, a speed safety value corresponding to the vehicle to be entered comprises: The speed safety value corresponding to the vehicle to be entered is calculated using the following formula: ； in, represents the speed safety value corresponding to the vehicle to be entered, j represents the vehicle index of the vehicle to be entered or exited, represents the time required for the jth vehicle to pass through the crossing, AT represents the average gate-passing time corresponding to the vehicles to be entered or exited, represents the driver's technical score of the jth vehicle, represents the driver's technical level, represents the passenger capacity index of the j-th vehicle, represents the vehicle condition index of the jth vehicle; Based on the speed safety value, the status of the vehicles to be entered and exited is monitored in real time to obtain real-time status data, including: Using the speed safety value as the speed standard corresponding to the vehicle to be entered or exited; Based on the speed standard, real-time speed detection is performed on the vehicle to be entered or exited to obtain the real-time speed of the vehicle; Performing status identification on the real-time speed of the vehicle to obtain a vehicle identification status; Extracting real-time status data from the vehicle identification status; The real-time monitoring of the status of the vehicle to be entered or exited based on the speed safety value to obtain real-time status data includes: using the speed safety value as the speed standard corresponding to the vehicle to be entered or exited; performing real-time speed detection on the vehicle to be entered or exited based on the speed standard to obtain the real-time speed of the vehicle; performing status identification on the real-time speed of the vehicle to obtain the vehicle identification status; and extracting the real-time status data from the vehicle identification status; The speed standard refers to the speed safety value determined according to road conditions, traffic rules and vehicle types; the real-time vehicle speed refers to the actual speed value obtained by real-time detection of the speed of the vehicle to be entered or exited by an on-board sensor or other speed measuring equipment; the vehicle identification status refers to comparing the real-time speed of the vehicle to be entered or exited with the speed standard to determine whether the vehicle is within the safe speed range and to identify the corresponding status for the vehicle, including: normal, speeding, too slow; Based on the speed safety value, the status of the vehicle to be entered or exited is monitored in real time to obtain real-time status data, and the vehicle direction parameters in the real-time status data are identified. Based on the vehicle direction parameters, the geomagnetic induction area corresponding to the entrance and exit gate is determined, and when the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

2. The intelligent remote control system based on parking lot gate is characterized by: For executing the intelligent remote control method based on parking lot gate according to claim 1, the system comprises: A high-dimensional mapping module is used to obtain vehicles waiting to enter or exit the parking lot, perform intelligent image recognition on the vehicles waiting to enter or exit, obtain intelligent vehicle images, perform intelligent contour detection on the intelligent vehicle images, obtain intelligent contour information corresponding to the vehicles waiting to enter or exit, and perform high-dimensional mapping on the intelligent contour information using a preset central server to obtain high-dimensional contour parameters; The high-dimensional parameters of the outer contour refer to the external characteristic parameters or boundary attributes of the vehicle in the multi-dimensional space, which are used to describe the appearance and structure of the object in the multi-dimensional space; The intelligent image recognition of the vehicle to be entered or exited to obtain the vehicle intelligent image comprises: using a preset monitoring device to collect the body image of the vehicle to be entered or exited, and dividing the body image into a main image and a subordinate image; respectively identifying the main pixel points and the subordinate pixel points corresponding to the main image and the subordinate image; based on the main pixel points and the subordinate pixel points, respectively analyzing the main image semantic information and the subordinate image semantic information corresponding to the main image and the subordinate image; respectively extracting the main feature information and the subordinate feature information corresponding to the main image and the subordinate image according to the main image semantic information and the subordinate image semantic information; combining the main image, the subordinate image, the main feature information and the subordinate feature information to obtain the vehicle intelligent image; The preset monitoring device refers to a monitoring device that is pre-set for collecting vehicle images; the vehicle body image refers to the overall body image of the vehicle to be entered or exited; the main image refers to the image area of ​​the main part or the main body in the vehicle body image; the subordinate image refers to the secondary part or the subordinate image area in the vehicle body image; the main pixel position refers to the key pixel position corresponding to the main image; the subordinate pixel position refers to the key pixel position corresponding to the subordinate image; the main image semantic information refers to the semantic information or content contained in the main image; the subordinate image semantic information refers to the semantic information or content contained in the subordinate image; the main feature information refers to the key feature information extracted from the main image; the subordinate feature information refers to the key feature information extracted from the subordinate image; The intelligent detection of the outer contour of the vehicle intelligent image is performed to obtain the intelligent outer contour information corresponding to the vehicle to be entered or exited, including: identifying edge pixels corresponding to the vehicle intelligent image, and mapping the pixel length corresponding to the edge pixels; based on the pixel length, performing outer contour corner point detection on the vehicle intelligent image to obtain outer contour corner point data; based on the outer contour corner point data, performing region intelligent filling on the vehicle intelligent image to obtain outer contour intelligent information; The outline intelligent information refers to the detailed information about the vehicle shape obtained by performing region intelligent filling on the vehicle intelligent image using the outline corner point data; The edge pixel refers to the pixel point representing the outer contour of the vehicle in the vehicle intelligent image; the pixel length refers to the process of mapping the edge pixel to the actual length or distance, which is used to measure the line segment length of the vehicle shape on the image; the outer contour corner point data refers to the vertex coordinates or data obtained by performing outer contour corner point detection on the vehicle intelligent image; A parameter verification module is used to perform feature dimensionality reduction on the high-dimensional parameters of the outline to obtain dimensionality reduction feature points, extract the license plate feature parameters corresponding to the vehicle to be entered and exited based on the dimensionality reduction feature points, and perform parameter verification on the license plate feature parameters with a preset parking lot database to obtain verification data; The extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the reduced dimension feature points includes: segmenting the feature characters corresponding to the reduced dimension feature points; performing text extraction on the feature characters to obtain character text information; identifying the license plate descriptor in the character text information; and extracting the license plate feature parameters corresponding to the vehicle to be entered or exited based on the license plate descriptor; The characteristic characters refer to the key features representing the characters on the license plate extracted from the dimension reduction feature points; the character text information refers to the text content representing the license plate characters extracted from the characteristic characters; the license plate descriptor refers to the features used to describe the license plate obtained by processing and extracting the recognized character text information; A real-time control module is used to query the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information, and determine the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority, and based on the gate opening priority, perform real-time control on the entrance and exit gate to obtain a real-time control instruction; The querying of the entry and exit authority corresponding to the vehicle to be entered and exited based on the verification information includes: performing data analysis on the verification information to obtain analysis data; based on the analysis data, querying the vehicle connection information in a preset parking lot management database to identify the authority status of the vehicle connection information; updating the authority status to the authority log corresponding to the vehicle to be entered and exited; and determining the entry and exit authority corresponding to the vehicle to be entered and exited based on the authority log; The parsed data refers to the relevant information obtained by parsing the verification information; the vehicle connection information refers to the vehicle information associated with the license plate number in the preset parking lot management database; the authority status refers to the entry and exit authority status of the vehicle to be entered and exited determined according to the authorization status in the vehicle connection information; the authority log refers to the log record that records the history of vehicle entry and exit authority status changes, which is used to trace back and query the vehicle's authority status; Determining the gate opening priority corresponding to the preset entrance and exit gate according to the entry and exit authority includes: establishing an authority level system corresponding to the vehicles to be entered and exited based on the entry and exit authority; planning the gate setting corresponding to the preset entrance and exit gate based on the authority level system; configuring the access control system corresponding to the preset entrance and exit gate based on the gate setting; determining the gate opening priority corresponding to the preset entrance and exit gate based on the access control system; The authority level system refers to establishing a level system to determine the level of vehicle authority based on the vehicle's entry and exit authority; the gate setting refers to planning the specific setting of the preset entrance and exit gates based on the authority level system; the access control system refers to configuring the corresponding access control system for the preset entrance and exit gates to control the opening and closing of the gates; A safety value calculation module is used to monitor the entry and exit status of the vehicles to be entered and exited based on the real-time control instructions, and calculate the average gate-passing time corresponding to the vehicles to be entered and exited according to the entry and exit status, and calculate the speed safety value corresponding to the vehicles to be entered based on the average gate-passing time; Calculating the average gate-passing time corresponding to the vehicles to be entered and exited according to the entry and exit status includes: The average gate-passing time corresponding to the vehicles to be entered or exited is calculated using the following formula: ； Wherein, AT represents the average gate-passing time corresponding to the vehicles to be entered and exited, represents the number index of the vehicles to be entered or exited, Indicates the total number of vehicles to be entered or exited, Indicates The time it takes for a vehicle to pass through the crossing. Indicates Vehicle entry and exit status parameters, Indicates the status parameter The corresponding state function; The calculating, based on the average gate-passing time, a speed safety value corresponding to the vehicle to be entered comprises: The speed safety value corresponding to the vehicle to be entered is calculated using the following formula: ； in, represents the speed safety value corresponding to the vehicle to be entered, j represents the vehicle index of the vehicle to be entered or exited, represents the time required for the jth vehicle to pass through the crossing, AT represents the average gate-passing time corresponding to the vehicles to be entered or exited, represents the driver's technical score of the jth vehicle, represents the driver's technical level, represents the passenger capacity index of the j-th vehicle, represents the vehicle condition index of the jth vehicle; Based on the speed safety value, the status of the vehicles to be entered and exited is monitored in real time to obtain real-time status data, including: Using the speed safety value as the speed standard corresponding to the vehicle to be entered or exited; Based on the speed standard, real-time speed detection is performed on the vehicle to be entered or exited to obtain the real-time speed of the vehicle; Performing status identification on the real-time speed of the vehicle to obtain a vehicle identification status; Extracting real-time status data from the vehicle identification status; The real-time monitoring of the status of the vehicle to be entered or exited based on the speed safety value to obtain real-time status data includes: using the speed safety value as the speed standard corresponding to the vehicle to be entered or exited; performing real-time speed detection on the vehicle to be entered or exited based on the speed standard to obtain the real-time speed of the vehicle; performing status identification on the real-time speed of the vehicle to obtain the vehicle identification status; and extracting the real-time status data from the vehicle identification status; The speed standard refers to the speed safety value determined according to road conditions, traffic rules and vehicle types; the real-time vehicle speed refers to the actual speed value obtained by real-time detection of the speed of the vehicle to be entered or exited by an on-board sensor or other speed measuring equipment; the vehicle identification status refers to comparing the real-time speed of the vehicle to be entered or exited with the speed standard to determine whether the vehicle is within the safe speed range and to identify the corresponding status for the vehicle, including: normal, speeding, too slow; The geomagnetic induction module is used to monitor the status of the vehicle to be entered or exited in real time based on the speed safety value, obtain real-time status data, identify the vehicle direction parameters in the real-time status data, and determine the geomagnetic induction area corresponding to the entrance and exit gate based on the vehicle direction parameters. When the vehicle to be entered or exit drives out of the geomagnetic induction area, the entrance and exit gate is closed.

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