A method and system for reverse driving determination at the entrance and exit lanes of a parking lot

Abstract

The present invention provides a method and system for reverse driving determination at the entrance and exit lanes of a parking lot, which are applied in the field of data processing. By precisely monitoring the driving trajectory and movement direction of a vehicle at the entrance and exit lanes, the present invention ensures that only vehicles that actually enter or leave can trigger the opening of the gate for release. The expected movement direction generated based on order information and the position weights of the ground sense coils updated in real time help to identify abnormal behaviors. In addition, the detection of reverse driving events and the comparison of temporary image data with the shape information further verify the movement state of the vehicle. The multiple verification mechanism effectively reduces the risk of mis-release, improves the management accuracy and efficiency of the parking lot, realizes intelligent real-time detection and exception handling, and ensures the smoothness and accuracy of the vehicle entry and exit process.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and particularly to a reverse driving determination method and system for the entrance and exit lanes of a parking lot. Background Art

[0002] With the development of current tunnel electronic payment, license plate recognition, and cloud platform technologies, the application of unmanned scenarios in parking systems has been promoted. However, various management difficulties and pain points have also emerged. For example, when reversing at the entrance and exit, the system opens the gate for release, but the vehicle does not actually enter or leave the parking lot, resulting in inaccurate parking space statistics, inaccurate information on vehicles present in the lot, and damage to the parking lot's revenue.

[0003] Regarding the reverse driving problem, in some solutions, a method of installing a high-position camera to identify vehicle targets and tracking whether the targets leave the lot is used. However, this method undoubtedly increases the equipment and management investment in the parking lot, and there are also certain requirements for the use environment. The method of using a single device to determine reverse driving is often inaccurate, leading to increased management problems. Summary of the Invention

[0004] The present invention aims to solve the problem that after a vehicle is recognized at the entrance and exit lane, the system opens the gate for release, but the vehicle does not actually enter or leave the lot, and provides a reverse driving determination method and system for the entrance and exit lanes of a parking lot.

[0005] The present invention adopts the following technical means to solve the technical problem:

[0006] The present invention provides a reverse driving determination method for the entrance and exit lanes of a parking lot, including:

[0007] Based on a preset camera at the entrance and exit lane, collect the driving trajectory of the vehicle at the entrance and exit lane;

[0008] Judge whether the driving trajectory is within the detection space of the entrance and exit lane;

[0009] If so, obtain the order information of the vehicle, generate the expected movement direction of the vehicle according to the order information, activate the preset inductive loop at the entrance and exit lane, calculate the position weight value of the vehicle through the inductive loop, and dynamically update the position weight value based on the movement information of the vehicle within the detection space, where the expected movement direction specifically includes entering and leaving;

[0010] Judge whether the position weight value meets the preset reverse driving event;

[0011] If it meets the requirements, collect the temporary image data of the vehicle, identify the shape information of the vehicle from the temporary image data, and compare the shape information with the preset marking position at the entrance and exit lane through the camera, and obtain the motion change data of the vehicle in real time. Among them, the shape information specifically includes the vehicle head, the vehicle body, and the vehicle tail.

[0012] Further, before the step of obtaining the order information of the vehicle and generating the expected motion direction of the vehicle according to the order information, the following steps are also included:

[0013] Generate the content to be settled of the vehicle in the parking lot based on the order information;

[0014] Judge whether the content to be settled has been settled;

[0015] If not, detect the settlement abnormal information of the vehicle, calculate the settlement difference of the vehicle according to the settlement abnormal information, and dynamically adjust the content to be settled according to the settlement difference. Among them, the settlement abnormal information specifically includes unsuccessful payment, mismatched payment amount, incorrect order status, and unactivated discount.

[0016] Further, in the step of activating the preset inductive loop at the entrance and exit lane and calculating the position weight of the vehicle through the inductive loop, the following steps are also included:

[0017] Collect the inductance change data when the vehicle passes through the inductive loop, and construct the position information of the vehicle in the detection space based on the inductance change data. Among them, the inductance change data specifically includes signal strength and signal change rate;

[0018] Judge whether the position information can generate a corresponding position weight;

[0019] If not, according to the preset boundary tolerance of the detection space, apply the preset interpolation algorithm to construct the temporary weight of the vehicle, and dynamically update the temporary weight according to the preset response delay of the vehicle to generate the vehicle weight change curve of the temporary weight.

[0020] Further, after the step of comparing the shape information with the preset marking position at the entrance and exit lane through the camera and obtaining the motion change data of the vehicle in real time, the following steps are also included:

[0021] Collect the backward distance of the vehicle in the detection space through the camera based on the marking position;

[0022] Judge whether the backward distance reaches the preset distance limit;

[0023] If so, identify the motion mode of the vehicle according to the reverse speed of the vehicle, and dynamically adjust the lane control mode of the access lane according to the motion mode, where the motion mode specifically includes manual reverse and passive reverse, and the lane control mode specifically includes a release mode and a lock gate mode.

[0024] Further, in the step of determining whether the driving trajectory is within the detection space of the access lane, it further includes:

[0025] Based on before the vehicle arrives at the access lane, identify the environmental change information within a preset range of the detection space, where the environmental change information specifically includes weather, light, and traffic flow;

[0026] Determine whether the environmental change information reaches a preset threshold;

[0027] If so, dynamically adjust the scanning space layout of the detection space according to the environmental change information, and adaptively adjust the traffic flow limit of the access lane according to the scanning space layout.

[0028] Further, in the step of determining whether the position weight meets the preset reverse event, it further includes:

[0029] Based on the preset waiting lane at the access lane, obtain the distance value between the reversing vehicle and the waiting lane;

[0030] Determine whether there are other vehicles in the waiting lane;

[0031] If so, activate the preset tire obstacle content in the waiting lane according to the distance value, detect the collision volume between the reversing vehicle and the tire obstacle content, and dynamically adjust the restriction degree of the tire obstacle content on the reversing vehicle according to the collision volume, where the restriction degree specifically includes physical collision pressure, reverse path offset, and speed adjustment.

[0032] Further, in the step of collecting the driving trajectory of the vehicle at the access lane based on the preset camera at the access lane, it further includes:

[0033] Based on the preset waiting lane at the access lane, real-time construct a temporary parking number when the vehicle enters and exits;

[0034] Determine whether the temporary parking number matches the current vehicle for which the order information should be generated;

[0035] If not, based on the temporary parking number, restrict the vehicle from performing order operations on the order information, obtain the queue information of the current vehicle at the access lane entrance, and dynamically update the temporary parking number according to the queue information, where the order operations specifically include generation and settlement.

[0036] The present invention also provides a reverse driving determination system for a parking lot access lane entrance, including:

[0037] An acquisition module for acquiring the driving trajectory of a vehicle at the access lane entrance based on a preset camera at the access lane entrance;

[0038] A judgment module for judging whether the driving trajectory is within the detection space of the access lane entrance;

[0039] An execution module for, if so, obtaining the order information of the vehicle, generating the expected movement direction of the vehicle according to the order information, activating the preset inductive loop at the access lane entrance, calculating the position weight value of the vehicle through the inductive loop, and dynamically updating the position weight value based on the movement information of the vehicle within the detection space, where the expected movement direction specifically includes entering and leaving;

[0040] A second judgment module for judging whether the position weight value conforms to a preset reverse driving event;

[0041] A second execution module for, if it conforms, acquiring the temporary image data of the vehicle, identifying the external shape information of the vehicle from the temporary image data, comparing the external shape information with the preset marking position at the access lane entrance through the camera, and obtaining the movement change data of the vehicle in real time, where the external shape information specifically includes the vehicle head, the vehicle body, and the vehicle tail.

[0042] Further, it further includes:

[0043] A generation module for generating the content to be settled of the vehicle in the parking lot based on the order information;

[0044] A third judgment module for judging whether the content to be settled is settled;

[0045] A third execution module for, if not, detecting the settlement abnormal information of the vehicle, calculating the settlement difference of the vehicle according to the settlement abnormal information, and dynamically adjusting the content to be settled according to the settlement difference, where the settlement abnormal information specifically includes payment not successful, payment amount mismatch, order status error, and discount not effective.

[0046] Further, the execution module further includes:

[0047] A building unit is used to collect inductance change data when the vehicle passes through the inductive loop, and based on the inductance change data, construct the position information of the vehicle in the detection space, where the inductance change data specifically includes signal strength and signal change rate;

[0048] A judgment unit is used to judge whether the position information can generate a corresponding position weight;

[0049] An execution unit is used, if not, then according to the boundary tolerance preset in the detection space, apply a preset interpolation algorithm to construct the temporary weight of the vehicle, dynamically update the temporary weight according to the response delay preset for the vehicle, and generate a vehicle weight change curve of the temporary weight.

[0050] The present invention provides a reverse driving determination method and system for the entrance and exit lanes of a parking lot, having the following beneficial effects:

[0051] The present invention accurately monitors the driving trajectory and movement direction of the vehicle at the entrance and exit lanes, ensuring that only the vehicles that truly enter or leave can trigger the opening of the gate for release. Based on the expected movement direction generated by the order information and the position weight of the inductive loop updated in real time, it helps to identify abnormal behaviors. In addition, the detection of reverse driving events, the comparison of temporary image data and external shape information further verify the movement state of the vehicle. The multiple verification mechanism effectively reduces the risk of mis-release, improves the management accuracy and efficiency of the parking lot, realizes intelligent real-time detection and abnormal processing, and ensures the smoothness and accuracy of the vehicle entry and exit process. Description of the Drawings

[0052] Figure 1 It is a schematic flowchart of an embodiment of the reverse driving determination method for the entrance and exit lanes of the parking lot of the present invention;

[0053] Figure 2 It is a structural block diagram of an embodiment of the reverse driving determination system for the entrance and exit lanes of the parking lot of the present invention. Detailed Embodiments

[0054] 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. The implementation, functional features and advantages of the present invention will be further described with reference to the embodiments and the drawings.

[0055] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0056] Refer to the attachedFigure 1 , a reverse determination method for the access lane of a parking lot in an embodiment of the present invention, includes:

[0057] S1: Based on a preset camera at the access lane, collect the driving trajectory of the vehicle at the access lane;

[0058] S2: Determine whether the driving trajectory is within the detection space of the access lane;

[0059] S3: If so, obtain the order information of the vehicle, generate the expected movement direction of the vehicle according to the order information, activate the preset inductive loop at the access lane, calculate the position weight value of the vehicle through the inductive loop, and dynamically update the position weight value based on the movement information of the vehicle within the detection space, where the expected movement direction specifically includes entering and leaving;

[0060] S4: Determine whether the position weight value meets the preset reverse event;

[0061] S5: If it meets, collect the temporary image data of the vehicle, identify the shape information of the vehicle from the temporary image data, compare the shape information with the preset marking position at the access lane through the camera, and obtain the motion change data of the vehicle in real time, where the shape information specifically includes the vehicle head, the vehicle body, and the vehicle tail.

[0062] In this embodiment, the system collects the driving trajectories of passing vehicles at the entrance and exit lane openings based on the cameras pre-installed at the entrance and exit lane openings, and then the system determines whether these driving trajectories are within the detection space of the entrance and exit lane openings to perform corresponding steps. For example, when the system determines that the driving trajectory of a certain vehicle at the entrance and exit lane opening is not within the detection space of the entrance and exit lane opening, the system will consider that the vehicle has not entered or left the lane opening according to the expected path or direction. The system will trigger an alarm or notification to remind the operator that the vehicle has not passed through the lane opening correctly. Re-confirm the behavior and position of the vehicle through other detection means (such as through inductive loop or activating a backup camera). If it is found that the vehicle is still near the lane opening but has not entered the effective detection space, the vehicle can be notified to adjust its entry and exit status for further verification. At the same time, if the vehicle is detected not to be within the correct trajectory multiple times, the system can dynamically adjust the detection space of the entrance and exit lane opening or the viewing angle of the camera to ensure that subsequent vehicles can be accurately identified. And if it is still detected that the vehicle fails to travel along the predetermined path, the system can automatically keep the gate locked or restart the detection process until it is confirmed that the vehicle has passed correctly. For example, when the system determines that the driving trajectory of a certain vehicle at the entrance and exit lane opening is within the detection space of the entrance and exit lane opening, at this time the system will consider that the vehicle has entered or left the lane opening according to the expected path. The system will obtain or generate the order information of the vehicle. Based on these order information, generate the expected movement direction of the vehicle. The expected movement direction specifically includes entering and leaving. Activate the inductive loop pre-installed at the entrance and exit lane opening. When the vehicle enters or leaves the entrance and exit lane opening, calculate the position weight value of the vehicle through the inductive loop. Based on the movement information of the vehicle within the detection space, dynamically update the corresponding position weight value. Through the accurate judgment of the vehicle's driving trajectory, the system can confirm whether the vehicle has truly entered or left the entrance and exit lane opening, rather than just passing by. This ensures that the system will not release the vehicle by mistake, avoiding potential safety hazards or operational chaos caused by the wrong opening of the access control system when the vehicle has not actually entered or left the lane. At the same time, generating the expected movement direction (entering or leaving) according to the vehicle's order information can accurately predict the vehicle's behavior when it passes by. The generation of this expected movement direction enables the system to identify abnormal situations in advance. For example, when the movement direction of the vehicle does not match the expectation, take timely measures (such as locking the door or alarming). And by activating the inductive loop, the position of the vehicle is monitored in real time, and the weight value of the vehicle is dynamically updated. This real-time feedback mechanism helps the system accurately track the specific position of the vehicle at the lane opening, avoiding misoperations or security loopholes caused by incorrect judgment of the vehicle's position. And the system can update the position weight value in real time according to the dynamic movement information of the vehicle within the detection space. This enables the system to more precisely grasp each position and movement change of the vehicle, ensuring that only the vehicles that have truly entered or left the lane opening will trigger the subsequent gate opening or closing operation, reducing the risk of misrelease or omission. Then the system determines whether the position weight value of the vehicle meets the pre-set reverse event to perform corresponding steps.For example, when the system determines that the position weight of the vehicle does not conform to the pre-set reverse event, the system will consider that the vehicle is normally entering or leaving the parking lot. The system will confirm whether the vehicle is entering or leaving the parking lot in the expected forward direction through multi-sensor data (such as inductive loops, cameras, radars, etc.). If the vehicle is moving along the normal driving path, confirm that its behavior is normal, and at the same time, update the status of the vehicle to "normal entry" or "normal exit" in real-time. According to the order information and detection results of the vehicle, record the passing status of the vehicle, and continue to monitor the trajectory of the vehicle to ensure that it completes the entry and exit according to the predetermined route, and continuously monitor the movement of the vehicle. Especially after determining that the vehicle has not reversed, ensure that no other abnormal situations occur. If there were any previous restrictions (such as reverse restrictions), the system will lift the restrictions to ensure that the vehicle can enter and exit smoothly; For example, when the system determines that the position weight of the vehicle conforms to the pre-set reverse event, at this time, the system will consider that the vehicle has an abnormal reverse when entering or leaving the parking lot. The system will collect the temporary image data of the vehicle, and identify the external shape information of the vehicle from the temporary image data. The external shape information specifically includes the front of the vehicle, the body, and the rear of the vehicle. Compare these external shape information with the marking positions at the entrance and exit lanes to obtain the movement change data of the vehicle in real-time; The system accurately identifies the reverse behavior by collecting image data in real-time and analyzing the external shape information of the vehicle (front of the vehicle, body, rear of the vehicle). This helps to prevent misjudgment and missed judgment, ensuring that the corresponding reverse event is triggered only when the vehicle actually reverses. This precise judgment mechanism improves the intelligence and accuracy of the system. At the same time, by comparing the external shape information of the vehicle with the marking positions at the entrance and exit lanes, the system can monitor in real-time whether the vehicle deviates from the normal driving path, and timely identify and record abnormal reverse behaviors. Abnormal reverse may lead to accidents or blockages. Therefore, timely discovery and handling of such situations helps to improve the safety of the parking lot entrance and exit. And by obtaining the movement change data of the vehicle in real-time and making a quick response, the system can timely adjust the control strategy of the entrance and exit to avoid the reverse behavior affecting the smooth passage of other vehicles and reduce the traffic pressure inside and outside the parking lot. For vehicle owners, the system can timely remind or alarm when the vehicle has a reverse abnormality, which can help them avoid traffic troubles or damages caused by misoperations. The intelligent detection of the system can not only improve the parking efficiency, but also reduce the troubles of vehicle owners caused by incorrect reverse operations and improve the overall experience of users.;

[0063] It should be noted that the position weight of the vehicle is calculated through the inductive loop, and the position weight is dynamically updated based on the movement information of the vehicle in the detection space. The specific example is as follows:

[0064] Suppose there is an entrance and exit of a parking lot. Three inductive loop detectors are installed at the entrance to detect passing vehicles. The system calculates the position weights of the vehicles based on the data of each loop and dynamically adjusts these weights according to the real-time movement of the vehicles. The following is the specific layout of these inductive loop detectors:

[0065] Loop A: Located at the starting point of the entrance and exit (outside the parking lot), it is used to detect the approach or departure of vehicles;

[0066] Loop B: Located 10 meters away from the entrance and exit, it is used to detect whether a vehicle enters or exits the parking area;

[0067] Loop C: Located inside the parking lot, near the parking space area, it is used to identify whether a vehicle is parked in the designated parking space;

[0068] 1. When a vehicle enters the parking lot, when a vehicle approaches the entrance and exit of the parking lot, the following events occur:

[0069] The vehicle enters Loop A: When the vehicle passes through Loop A, the system senses the change in the magnetic field and identifies that a vehicle has passed;

[0070] The system calculates the preliminary position weight based on the inductive loop detector A through which the vehicle passes. Suppose when entering Loop A, the system sets the position weight of this vehicle to 0.8 (because the vehicle is close to the entrance and exit);

[0071] The vehicle drives into Loop B: The vehicle continues to move forward into the parking lot. When passing through Loop B, the system senses the change again and updates the position weight;

[0072] Since the vehicle is farther from the entrance and exit, the system adjusts the position weight to 0.6 (reflecting that the vehicle has driven into the interior of the parking lot);

[0073] Dynamically update the position weight: The system tracks the vehicle position in real time at each detection point and dynamically updates the weight according to the vehicle's position. At this time, the position weight is constantly changing to ensure that the system can accurately understand the vehicle's current position;

[0074] 2. When the vehicle reverses into the parking lot, next, the vehicle makes a reversing movement and the driver is going to reverse the vehicle into the parking space. The system will continue to track the position of this vehicle and update the position weight in real time during this process;

[0075] The vehicle reverses into Loop B: The vehicle starts to reverse and backs up to Loop B. During this process, the inductive loop detector B will sense the change in the vehicle's magnetic field and notify the system to update the position information of this vehicle;

[0076] The system updates the position weight of the vehicle from 0.6 to 0.7 according to the reversing trajectory of the vehicle because the vehicle has entered a region closer to the parking space and is reversing;

[0077] The vehicle enters coil C and parks in the parking space: The vehicle continues to reverse and finally parks in the parking space. At this time, coil C will sense that the vehicle stays in the parking space area and feedback this information to the system.

[0078] Assume that the vehicle has come to a complete stop at this time. The system updates the position weight value to 0.9 because the vehicle has parked in the parking space and its position is determined. The system can recognize it as the final parking state.

[0079] 3. The vehicle leaves the parking lot. After the vehicle finishes parking, the car owner is ready to leave the parking lot. When the vehicle starts to drive out of the parking lot, the inductive loop will continue to monitor the vehicle's trajectory and dynamically update the position weight value.

[0080] The vehicle leaves coil C: The vehicle leaves the parking space and passes coil C. The system senses the change and reduces the weight value of this vehicle, reflecting that the vehicle is leaving the parking space. At this time, the position weight value is adjusted from 0.9 to 0.7.

[0081] The vehicle leaves coil B: The vehicle continues to move forward, drives out of a further area of the parking lot. When passing coil B, the system updates the position weight value again. At this time, the vehicle's position weight value drops to 0.5, indicating that the vehicle is approaching the exit.

[0082] The vehicle leaves coil A: The vehicle finally drives out of the parking lot. When passing coil A, the system recognizes that the vehicle has completely left the parking lot and updates the position weight value to 0, marking that the vehicle's exit action has been completed.

[0083] 4. Dynamic weight value change and early warning function. During the whole process, the position weight value is dynamically changing. The system will adjust the weight of the vehicle in the detection space in real time according to the vehicle's movement trajectory. In this way, the system can accurately judge the vehicle's position and whether it is in a normal driving or parking state. Specifically:

[0084] Dynamic weight value update: Whenever the vehicle passes a coil, the system will adjust the weight value in real time, indicating the vehicle's relative position.

[0085] Reverse monitoring and early warning: If the system detects that the position weight value of the vehicle suddenly changes abnormally during the reverse process, or the vehicle stays at a certain coil for too long, the system will issue an early warning or start an abnormal handling program. For example, if the vehicle reverses at the entrance and exit, the system will judge whether there are illegal parking, reverse driving and other behaviors and take corresponding countermeasures.

[0086] In summary, in the above example, by calculating the position weight of the vehicle in real time through the ground loop coil and dynamically updating the weight based on the movement information of the vehicle in the detection space, high-precision and real-time parking lot monitoring and management can be achieved. This method not only improves the management efficiency of the parking lot, but also effectively avoids problems such as abnormal vehicle entry and exit and illegal parking, providing a more intelligent vehicle management experience.

[0087] In this embodiment, before the step S3 of obtaining the order information of the vehicle and generating the expected movement direction of the vehicle according to the order information, it further includes:

[0088] S301: Generate the content to be settled of the vehicle in the parking lot based on the order information;

[0089] S302: Determine whether the content to be settled has been settled;

[0090] S303: If not, detect the settlement abnormal information of the vehicle, calculate the settlement difference of the vehicle according to the settlement abnormal information, and dynamically adjust the content to be settled according to the settlement difference, where the settlement abnormal information specifically includes unsuccessful payment, mismatched payment amount, incorrect order status, and unactivated discount.

[0091] In this embodiment, the system generates the content to be settled for a vehicle within the parking lot based on different order information, and then the system determines whether these contents to be settled have been settled to execute corresponding steps. For example, when the system determines that the content to be settled for a certain vehicle within the parking lot has been successfully settled, the system will consider that the parking fee for the vehicle has been paid, and the parking record of the vehicle has been officially confirmed. The system will record the settlement time and payment amount of the vehicle to ensure the accuracy of all financial data. The system stores this settlement record in the database, along with information such as the settlement time, payment method, and parking duration, to ensure the integrity and traceability of the settlement. At the same time, if the system has imposed any restrictions on the vehicle during parking (such as unable to leave the lot without settlement), after the settlement is completed at this time, the system should lift the relevant restrictions on the vehicle, automatically release the vehicle's exit permission, allow the vehicle to pass through the entrance and exit channels, and the system will automatically open the gate for release. The vehicle can leave smoothly. And after the settlement is completed, the system can mark this parking space as "available" and update the vacant space data of the parking lot in real time. This enables the system to accurately understand the current number of vacant parking spaces in the parking lot, facilitating dynamic management and optimizing the utilization efficiency of the parking lot. For example, when the system determines that the content to be settled for a certain vehicle within the parking lot has not been settled, the system will consider that the parking fee for the vehicle has not been paid. The system will detect the settlement exception information of the vehicle. The settlement exception information specifically includes payment not successful, payment amount mismatch, order status error, and discount not effective. According to different settlement exception information, calculate the settlement difference of the vehicle. Based on these settlement differences, dynamically adjust the content to be settled for the vehicle. By detecting the settlement exception information in detail, the system can accurately identify any problems in the settlement process and adjust the relevant information according to the settlement difference to ensure the accuracy of the vehicle's parking fee. This helps to prevent settlement errors caused by human errors or system failures, enhancing the overall accuracy and reliability of the system. At the same time, detecting and handling settlement exceptions in a timely manner can reduce financial disputes and errors. For example, a payment amount mismatch or an order status error may result in the vehicle being wrongly charged or not charged. By dynamically adjusting the settlement content, losses can be effectively avoided and financial risks can be reduced. And when the vehicle owner may encounter various settlement problems during the payment process (such as payment not successful or discount not effective), if the system can automatically detect and adjust these problems, it will greatly improve the vehicle owner's usage experience and avoid dissatisfaction or inconvenience caused by settlement problems for the vehicle owner. Especially for the situation where the discount is not effective, the system can immediately correct and apply the correct discount, enhancing customer satisfaction.

[0092] In this embodiment, in step S3 of activating the preset inductive loop at the entrance and exit lane and calculating the position weight of the vehicle through the inductive loop, it further includes:

[0093] S31: Collect the inductance change data when the vehicle passes through the inductive loop, and construct the position information of the vehicle in the detection space based on the inductance change data, where the inductance change data specifically includes signal strength and signal change rate;

[0094] S32: Determine whether the position information can generate a corresponding position weight;

[0095] S33: If not, then according to the boundary tolerance preset in the detection space, apply a preset interpolation algorithm to construct the temporary weight of the vehicle, dynamically update the temporary weight according to the response delay preset for the vehicle, and generate the vehicle weight change curve of the temporary weight.

[0096] In this embodiment, the system collects the inductance change data when the vehicle passes through the inductive loop. The inductance change data specifically includes the signal strength and the signal change rate. Based on these inductance change data, the position information of the vehicle in the detection space is constructed. Then, the system determines whether the position information can generate the corresponding position weight to execute the corresponding steps. For example, when the system determines that the position information of a certain vehicle in the detection space can generate the corresponding position weight, the system will consider that the vehicle is already in the preset detection space, and the system has successfully obtained the accurate position data of the vehicle. The system can update the status of the vehicle in real time according to the generated position information. For example, whether the vehicle has entered the access lane, whether it is waiting in the parking lot, or whether it is performing operations such as reversing. This information will be used to subsequently judge the behavior of the vehicle and whether it conforms to specific events (such as reversing, exiting the lot, etc.). At the same time, if the generated position information matches the preset events (such as reversing, exiting the lot, etc.), the system can trigger relevant control actions according to the position weight. For example, when it is detected that the vehicle is about to reverse and meets the conditions of the reversing event, the system can activate the warning system to remind the vehicle owner or activate the corresponding safety protection measures. And by calculating the position weight of the vehicle in real time, the system can continuously monitor the movement of the vehicle in the detection space. For example, when the vehicle travels along the specified trajectory of the access lane, the system can dynamically adjust the monitoring area in the detection space to ensure tracking the movement direction of the vehicle. If the vehicle deviates, the system can recalibrate the monitoring trajectory by adjusting the position weight. For example, when the system determines that the position information of a certain vehicle in the detection space cannot generate the corresponding position weight, at this time, the system will consider that the position of the vehicle has not been obtained in the detection space, and it is impossible to confirm whether the vehicle is in the detection space, and the order information cannot be normally generated. The system will apply the pre-set interpolation algorithm according to the boundary tolerance preset in the detection space to construct the temporary weight of the vehicle, and dynamically update these temporary weights according to the preset response delay of the vehicle to generate the vehicle weight change curve of the temporary weight.The system estimates the approximate position of the vehicle through an algorithm. This method improves the fault tolerance of the system and avoids the problem that the entire system cannot operate properly due to the temporary inability to obtain vehicle position information. Even under signal interference, sensor errors, or environmental factors, the system can still continue to operate through temporary weights, ensuring the continuity and stability of parking lot management. At the same time, in some cases, the vehicle may be at the boundary of the detection space or in the process of moving, and the system fails to accurately capture its position. By using the interpolation algorithm to generate temporary weights, the system can continue to estimate the position of the vehicle, preventing misjudgment or system stagnation caused by the inability to confirm the vehicle position. For example, when the vehicle is entering the detection space but not fully entered, the interpolation algorithm can provide a reasonable estimate to avoid system interruption or wrongly rejecting the vehicle from passing. And by applying the temporary weights generated by the interpolation algorithm, the system can fill in the data gaps and avoid affecting subsequent operations due to the lack of position data. Over time, the temporary weights will be continuously adjusted dynamically and gradually approach the real data. This method provides smoother and more accurate vehicle data for the system, helping subsequent decisions to be more precise. The change of temporary weights is dynamic, meaning that the system can update these values with the real-time movement of the vehicle, signal changes, or environmental impacts, ensuring that the system can make a quick response, which is crucial for tasks such as dynamically adjusting parking lot management, lane control, and parking space allocation, especially in the case of high traffic or high-frequency operations.;

[0097] It should be noted that according to the preset boundary tolerance of the detection space, applying the preset interpolation algorithm to construct the temporary weight of the vehicle, and dynamically updating the temporary weight according to the preset response delay of the vehicle to generate the vehicle weight change curve of the temporary weight. The specific example is as follows:

[0098] Suppose there is an intelligent parking lot system that uses inductive loops and cameras to detect the entry and exit of vehicles in real time; when the vehicle passes through the lane entrance, the system needs to capture the position of the vehicle, judge whether it enters the parking lot correctly, and generate corresponding order information; however, in actual operation, signal interference or the vehicle being at the edge of the lane entrance may occur, resulting in the inability to accurately obtain the vehicle position; in this case, the system will speculate on the vehicle position through the boundary tolerance and the interpolation algorithm, and dynamically adjust the weight to ensure the normal operation of the system;

[0099] Scenario 1, the vehicle approaches the boundary of the detection space:

[0100] Assume that the entrance and exit of the parking lot are within the coverage area of the inductive loop; the vehicle is entering, and the system detects the vehicle passing through the inductive loop; due to signal interference or the vehicle being at a relatively long distance from the loop, the system fails to obtain accurate position information; at this time, the system cannot directly confirm whether the vehicle has completely entered the parking lot, but because the system has a preset boundary tolerance, it will perform some tolerance processing;

[0101] Setting of the boundary tolerance. Assume that the boundary tolerance of the detection space is set to 2 meters, that is, if the position of the vehicle deviates from the preset detection space by at most 2 meters, the system still considers the vehicle to be within the effective detection area; this is to avoid misjudgment caused by factors such as unstable signals and low sensor accuracy;

[0102] For example: the previous measurement position of the vehicle is 2 meters from the lane entrance; the position at the current moment is estimated to be 2.5 meters after the interpolation algorithm; in this case, the system will take into account the 2-meter tolerance and consider that the vehicle is still within the effective detection space;

[0103] Application of the interpolation algorithm. The system estimates the current position of the vehicle through the linear interpolation method (it can also be other types of interpolation, such as spline interpolation); the interpolation algorithm calculates based on the data points at the previous and current moments to infer the exact position of the vehicle at the current moment;

[0104] Assume that the two measurement points of the vehicle in the past two seconds are:

[0105] At time T1: 2 meters from the lane entrance;

[0106] At time T2: 2.5 meters from the lane entrance;

[0107] The system uses the linear interpolation algorithm to obtain the position of the vehicle at the current moment as 2.3 meters and considers that the vehicle is still within the detection space;

[0108] Scenario 2, generation and update of the temporary weight:

[0109] Construction of the temporary weight: Even if the system does not directly obtain accurate position information, it can still use the interpolation algorithm to calculate the temporary weight; the temporary weight reflects the estimated position of the vehicle; at this time, the system generates a temporary weight based on the historical data of the vehicle at the lane entrance and speculates whether the vehicle has entered the parking lot;

[0110] For example, assume that the vehicle has passed through the detection coil at this time, and the system generates a temporary weight of 2.3 meters based on the interpolation algorithm at the current moment; this temporary weight will be continuously updated within a certain period of time until the system can accurately measure the position of the vehicle;

[0111] Dynamically update the temporary weight. As time goes by, the vehicle continues to move forward, and the system updates the temporary weight every 2 seconds. For example, when the vehicle continues to move forward to 3 meters and 3.5 meters, the system dynamically updates the temporary weight according to the new data, so that the movement trajectory of the vehicle can be adjusted and fed back in real time;

[0112] Response delay. To avoid misjudgment caused by the system's slow reaction, the system presets a response delay, such as 2 seconds. The system updates the temporary weight every 2 seconds and ensures that the weight change curve is smooth. This delay is to leave time for the update of the vehicle's position, so as to avoid misjudgment caused by problems such as sensor delay and signal instability;

[0113] Scenario 3, generate the vehicle weight change curve:

[0114] As time goes by, the system generates a vehicle weight change curve based on continuous temporary weights, reflecting the movement trajectory of the vehicle within the detection space;

[0115] Suppose within 3 seconds, the temporary weights of the vehicle are updated as follows:

[0116] At time T1: The temporary weight of the vehicle is 2.3 meters;

[0117] At time T2: The temporary weight of the vehicle is 2.8 meters;

[0118] At time T3: The temporary weight of the vehicle is 3.3 meters;

[0119] At time T4: The temporary weight of the vehicle is 3.8 meters;

[0120] The system connects these weight data into a curve, representing the movement trajectory of the vehicle from the lane entrance to the parking lot. Even if the vehicle's exact position cannot be directly measured at some moments, the temporary weights and dynamic updates ensure that the system can smoothly track the vehicle's position and make correct judgments based on the vehicle's movement trajectory;

[0121] The system judges whether the vehicle has successfully entered the parking lot, whether a parking order needs to be generated, or whether an abnormal behavior (such as reversing) has occurred based on this curve;

[0122] Scenario 4, signal loss or inaccurate data:

[0123] If the signal is lost or the data is inaccurate at some moments, the system can still infer whether the vehicle has successfully entered the parking lot by dynamically updating the temporary weights and the change curve. Suppose the system cannot fully capture the vehicle's signal, but by estimating the position change, the system can judge whether the vehicle enters normally and perform corresponding operations, such as automatically opening the gate;

[0124] If the system detects an abnormality in the weight curve of the vehicle (for example, there is no obvious change in the weight), it may consider that the vehicle has not successfully entered the parking lot, thereby triggering an alarm or requesting the vehicle to be re-detected;

[0125] In summary, in the above example, by setting the boundary tolerance and applying the interpolation algorithm, the system can handle the situation of unstable signals or missing data when the vehicle passes through the lane entrance; the temporary weight and the weight change curve ensure that the system can track the movement trajectory of the vehicle in real-time detection. Even when the signals are incomplete, it can accurately determine whether the vehicle has entered the parking lot and generate corresponding operations, such as opening the gate, generating an order, or handling abnormal situations.

[0126] In this embodiment, after step S5 of comparing the shape information with the preset marking position of the access lane entrance through the camera and obtaining the motion change data of the vehicle in real time, the following steps are further included:

[0127] S501: Based on the marking position, collect the reverse distance of the vehicle in the detection space through the camera;

[0128] S502: Determine whether the reverse distance reaches the preset distance limit;

[0129] S503: If so, identify the motion mode of the vehicle according to the reverse speed of the vehicle, and dynamically adjust the lane control mode of the access lane entrance according to the motion mode. Among them, the motion mode specifically includes manual reverse and passive reverse, and the lane control mode specifically includes a release mode and a lock gate mode.

[0130] In this embodiment, the system, based on the marking position at the entrance and exit lane, collects the reverse distance of the vehicle within the detection space through a camera, and then determines whether the reverse distance reaches a pre-set distance upper limit to execute corresponding steps. For example, when the system determines that the reverse distance of the vehicle within the detection space does not reach the pre-set distance upper limit, the system will consider that the vehicle is in the process of reversing, but its reversing behavior does not reach the set warning or restriction range. The system will continuously monitor the reversing process of the vehicle. By collecting the reverse distance and speed of the vehicle in real time, the system can ensure that the vehicle does not have excessive reverse or abnormal reversing actions, avoiding potential collisions or entering prohibited areas. At the same time, according to the real-time data of the vehicle's reversing (such as reversing speed, reversing direction), the system should dynamically update the vehicle's status information, including the vehicle's current relative position, reversing direction, and distance limit, etc., which will provide data support for subsequent operations (such as deciding whether to further restrict reversing or warning the driver), and according to the sensor data within the detection space (such as cameras, inductive loops, etc.), it will detect in real time whether there are obstacles or other vehicles hindering the reversing. If an obstacle is detected and the reverse distance of the vehicle approaches the set limit range, the system will activate the reverse warning mechanism. For example, when the system determines that the reverse distance of the vehicle within the detection space reaches the pre-set distance upper limit, at this time, the system will consider that it is easy to have an accident if the vehicle continues to reverse. The system will identify the movement mode of the vehicle according to the reverse rate of the vehicle. The movement mode specifically includes manual reverse and passive reverse. According to different movement modes, it will dynamically adjust the lane control mode at the entrance and exit lane. The lane control mode specifically includes the release mode and the lock gate mode;By monitoring the reverse distance and reverse speed in real time, the system can automatically evaluate the reverse mode of the vehicle when it approaches the set distance limit. If the vehicle continues to reverse and the reverse mode is "passive reverse" (for example, the system automatically controls or fails to stop as expected), the system will switch to the "locking mode", that is, restricting the vehicle from further reversing or entering the parking area to prevent collisions or other safety accidents. At the same time, by distinguishing between manual reverse and passive reverse, the system can more accurately evaluate whether the vehicle is in an abnormal reverse state. For example, when the vehicle is controlled by the driver (manual reverse), the system can allow it to continue reversing and provide necessary assistance, such as slow reverse prompts or warnings. When the vehicle is in the automatic reverse mode (such as caused by a system error), the system will take more stringent restrictions (such as the locking mode) to avoid unnecessary accidents. And based on different reverse movement modes, the system can dynamically adjust the control mode of the access lane (such as release mode and locking mode) according to the real-time vehicle behavior. This automated and intelligent management greatly reduces the need for manual intervention, improves the overall operation efficiency of the parking lot, and reduces the risk of human error. By real-time monitoring and evaluating the reverse behavior of the vehicle, the system can decide whether to allow the vehicle to continue reversing or immediately initiate restrictive measures based on the reverse state of the vehicle. This strategy of dynamically adjusting the lane control mode can effectively avoid unnecessary traffic delays and congestion at the parking lot entrance.;

[0131] In this embodiment, in step S2 of determining whether the driving trajectory is within the detection space of the access lane, it further includes:

[0132] S21: Based on before the vehicle arrives at the access lane, identify the environmental change information within a preset range of the detection space, where the environmental change information specifically includes weather, light, and traffic flow;

[0133] S22: Determine whether the environmental change information reaches a preset threshold;

[0134] S23: If so, according to the environmental change information, dynamically adjust the scanning space layout of the detection space, and adaptively adjust the traffic flow limit of the access lane according to the scanning space layout.

[0135] In this embodiment, before the vehicle arrives at the access lane, the system identifies and detects environmental change information within a preset range in the detection space. The environmental change information specifically includes weather, light, and traffic flow. Then, the system determines whether these environmental change information reach the preset thresholds to execute corresponding steps. For example, when the system determines that the environmental change information within the preset range in the detection space does not reach the preset thresholds, the system will consider that the environmental conditions in the current detection space will not affect the camera's recognition of the vehicle's entry and exit. The system will continue to obtain the entry and exit data of the vehicle through the camera, determine whether the vehicle is within the detection space, and perform recognition to ensure the accuracy of the vehicle's identity and position. At the same time, under normal environmental conditions, the system can release the vehicle without interference, without making any adjustments to the release mode of the lane. The gate of the lane can be automatically released according to the arrival time, position, and vehicle information of the vehicle, without human intervention, and can focus on the recognition of the vehicle's entry and exit, rather than dealing with the interference of environmental changes additionally, saving computing resources and time, and improving the response speed and stability of the system. For example, when the system determines that the environmental change information within the preset range in the detection space reaches the preset thresholds, at this time, the system will consider that the environmental conditions in the current detection space affect the camera's recognition of the vehicle's entry and exit. The system will dynamically adjust the scanning space layout of the detection space according to different environmental change information, and adaptively adjust the traffic flow limit of the access lane according to this scanning space layout. When the environmental change information reaches the preset thresholds, the system can compensate for the influence of environmental factors such as light intensity change and weather change on the camera's recognition ability by dynamically adjusting the scanning space layout of the detection space. By appropriately shrinking or expanding the scanning space, the system can ensure that the vehicle can still be accurately recognized under different environmental conditions, thereby reducing the possibility of misjudgment and missed judgment and improving the recognition accuracy. At the same time, the system adaptively adjusts the traffic flow limit of the access lane according to the environmental change to adapt to different weather and environmental conditions. For example, in rainy, snowy, or windy weather, the traffic flow limit can be dynamically reduced to avoid excessive vehicle concentration and reduce the risk of potential traffic jams or accidents. This helps to improve the efficiency and safety of vehicle entry and exit, ensure smooth lane use under adverse environmental conditions, and through the real-time monitoring and analysis of environmental change information, the system can adjust the scanning layout and traffic flow management strategy according to the current environmental conditions, thereby achieving more intelligent management. This dynamic adaptation mechanism enables the system to cope with different external environmental changes, enhancing the flexibility and responsiveness of parking lot management and ensuring the efficient operation of the system in a changing environment.

[0136] In this embodiment, in step S4 of determining whether the position weight meets the preset reverse event, it further includes:

[0137] S41: Based on the preset waiting lane at the access lane, obtain the distance value between the reversing vehicle and the waiting lane;

[0138] S42: Determine whether there are other vehicles in the waiting lane;

[0139] S43: If so, according to the distance value, activate the preset tire obstacle content in the waiting lane, detect the collision volume between the reversing vehicle and the tire obstacle content, and dynamically adjust the restriction degree of the tire obstacle content on the reversing vehicle according to the collision volume, where the restriction degree specifically includes physical collision pressure, reversing path offset, and speed adjustment.

[0140] In this embodiment, the system obtains the distance value between the reversing vehicle and the waiting lane based on the waiting lane pre-set at the entrance and exit, and then the system determines whether there are other vehicles in the waiting lane to execute the corresponding steps; for example, when the system determines that there are no other vehicles in the waiting lane, the system will consider that the current waiting lane is idle and there are no other vehicles waiting, and the system will allow the reversing vehicle to enter the waiting lane to ensure that the vehicle can successfully complete the reversing operation. The system can dynamically adjust the lane release strategy to allow the reversing vehicle to park or leave smoothly, avoiding unnecessary congestion or delays, and at the same time flexibly adjust the lane release frequency or sequence according to the vehicle's reversing distance value and other monitoring information. , improve the overall traffic efficiency. For example, if other vehicles are about to arrive and prepare to enter the waiting lane, the system can predict and adjust the lane scheduling strategy based on real-time data to ensure the smooth flow of traffic in and out of the lane. When the waiting lane is idle, the system can quickly identify this situation, optimize the entry process of reversing vehicles, and reduce unnecessary waiting time. This dynamic scheduling can not only improve the passing efficiency of a single vehicle, but also improve the overall utilization rate of the entry and exit lanes, reduce the overall waiting and stay time of the system, and improve the overall operational efficiency of the parking lot; for example, when the system determines that there are vehicles in other queues in the waiting lane, the system will think that the reversing vehicle may collide with other queue vehicles, and the system needs to prevent the reversing vehicle from colliding with other queue vehicles. If the vehicle continues to reverse, the system will activate the tire obstacle content pre-set in the waiting lane according to the distance value, detect the collision volume between the reversing vehicle and the tire obstacle content, and dynamically adjust the degree of restriction of the tire obstacle content on the reversing vehicle according to different collision volumes. The degree of restriction specifically includes physical collision pressure, reversing path offset and speed adjustment. The system can take action before the danger occurs to avoid collision between vehicles by real-time monitoring of possible collisions between the reversing vehicle and other queued vehicles. This not only protects the vehicle from damage, but also effectively prevents potential personal injury. The dynamic adjustment of the tire obstacle content and collision volume can accurately control the behavior of the reversing vehicle and reduce risks. At the same time, the system can dynamically adjust The degree of restriction of tire obstacles (such as physical collision pressure, reversing path offset and speed adjustment) helps to effectively manage traffic flow. In the presence of other vehicles, it limits the operation of reversing vehicles, avoids accidents, and significantly improves the overall safety of the parking lot. This can effectively reduce accidents, disputes and losses for both car owners and parking lot managers. By adjusting the reversing path offset and speed adjustment, the system can optimize the behavior of reversing vehicles, ensure that the vehicle can safely reverse into the appropriate position, avoid excessive or improper reversing operations, and dynamically adjust the restriction intensity to make the vehicle reversing process smoother and more accurate, thereby improving the overall operating efficiency of the parking lot and reducing repeated operations and invalid parking time of vehicles.

[0141] It should be noted that according to the distance value, the preset tire obstacle content in the waiting lane is activated, the collision volume between the reversing vehicle and the tire obstacle content is detected, and according to the collision volume, the restriction degree of the tire obstacle content on the reversing vehicle is dynamically adjusted. The specific example is as follows:

[0142] Suppose there is an SUV reversing in the waiting lane in a parking lot. The vehicle is about 50 centimeters away from the front tire obstacle in the waiting lane (which may be a soft baffle or a tire protection pad). At the same time, there is a small car queuing up in front in the waiting lane. The system detects through cameras and sensors that the distance between the two vehicles is less than 1 meter, and the distance between the reversing vehicle and the obstacle is only 50 centimeters, which is already close to the potential collision risk;

[0143] Step 1, activate the tire obstacle content:

[0144] When the system determines that the reversing vehicle is approaching a physical obstacle, it immediately activates the tire obstacles. These obstacles may be soft tire protection pads with strong elasticity or buffer walls installed at the edge of the lane. At this time, the tire obstacles begin to generate physical resistance to the vehicle and restrict its reverse;

[0145] Step 2, detect the collision volume:

[0146] When the vehicle touches the obstacle during reverse, the system will detect the volume of the collision through built-in sensors (such as pressure sensors). For example, when the rear bumper of the SUV touches the tire obstacle, the system detects that the collision area of the rear bumper is 10 square centimeters and the contact pressure is 15 kilograms. These data help the system to monitor the degree of the collision in real time;

[0147] Step 3, dynamically adjust the restriction degree:

[0148] Physical collision pressure: When the vehicle touches the obstacle, the system will automatically adjust the resistance of the obstacle. For example, if the system detects that the volume and pressure of the contact between the rear bumper and the obstacle are large, the system will automatically adjust the physical pressure of the tire obstacle to increase its restriction on the reversing vehicle and ensure that the vehicle cannot continue to reverse;

[0149] Reverse path offset: If the system determines that the reverse path of the vehicle is relatively straight and the tail of the reversing vehicle is close to the obstacle, the system will measure the offset of the vehicle's tail through sensors to judge whether it is necessary to guide the vehicle to make fine adjustments. At this time, the system may change the steering angle of the vehicle and slightly adjust the reverse trajectory to make the vehicle deviate from the original path to avoid further contact with the obstacle or other vehicles in the waiting lane;

[0150] Speed adjustment: As the collision volume increases, the system will automatically slow down the reverse speed of the vehicle to reduce the impact force of the collision. For example, when a strong contact pressure is detected, the system will force the vehicle into a low-speed reverse mode and gradually reduce the vehicle speed to a complete stop. During this process, the system will combine with the reverse power sensor to ensure that the reverse speed will not cause more serious damage.

[0151] In summary, in the above example, the system successfully avoided a serious collision between the reversing vehicle and the obstacle in front, and the vehicle stopped reversing within a safe range. Even in the case of being very close to the obstacle, the system ensured the safety of the reversing process through precise collision volume detection, path adjustment, and speed adjustment. The specific details in the example demonstrated how the system ensured that the vehicle could maintain a safe distance from the surrounding environment and obstacles during reversing and avoided any potential accidents through real-time monitoring, collision detection, and dynamic adjustment.

[0152] In this embodiment, in step S1 of collecting the driving trajectory of the vehicle at the access lane entrance based on the preset camera at the access lane entrance, it further includes:

[0153] S11: Based on the preset waiting lane at the access lane entrance, a temporary parking number for the vehicle during access is constructed in real time.

[0154] S12: Determine whether the temporary parking number matches the current vehicle for which the order information should be generated.

[0155] S13: If not, then according to the temporary parking number, restrict the vehicle from performing order operations on the order information, obtain the queue information of the current vehicle at the access lane entrance, and dynamically update the temporary parking number based on the queue information, where the order operations specifically include generation and settlement.

[0156] In this embodiment, the system constructs a temporary parking number for a vehicle during entry and exit in real time based on a pre-set waiting lane at the entry and exit lane. Then, the system determines whether the temporary parking number matches the vehicle corresponding to the currently generated order information to execute corresponding steps. For example, when the system determines that a certain temporary parking number can match the vehicle corresponding to the currently generated order information, the system will consider that the vehicle is completely consistent with its corresponding order information, and the vehicle can successfully enter or leave the parking lot and complete relevant processing. The system will generate a parking record based on the order information or update the parking status of the vehicle, including updating the parking duration, fees, parking space information, etc. At the same time, the settlement process will start according to the matched order information, including calculating parking fees, applying discounts or promotions, generating bills, etc. The payment information of the vehicle will also be verified to ensure there is no omission. And if the vehicle is exiting at this time, the system will automatically unlock the access gate to allow the vehicle to leave smoothly. If it is entering, the system will allocate an idle parking space and guide the vehicle to the designated area. For example, when the system determines that a certain temporary parking number cannot match the vehicle corresponding to the currently generated order information, the system will consider that the vehicle is inconsistent with the corresponding order information and cannot settle the order information normally. The system will restrict the vehicle from performing order operations on the order information according to the temporary parking number. The order operations specifically include generation and settlement. The system will obtain the queue information of the current vehicle at the entry and exit lane and dynamically update the temporary parking number of the current vehicle based on these queue information for the current vehicle to perform normal order settlement. By restricting vehicles with unmatched temporary parking numbers from performing order operations, the system avoids incorrect settlement or generation of incorrect orders in the case of inconsistent vehicle and order information, which effectively ensures the accuracy and reliability of the settlement process, prevents financial losses or customer disputes caused by information errors. At the same time, when it detects that the temporary parking number does not match the order information, the system dynamically adjusts the temporary parking number of the vehicle according to the queue information of the current vehicle at the entry and exit lane. This means that the system can correct and update the parking status of the vehicle in real time to ensure that each vehicle can be matched with the correct order, guarantee the order of the parking lot and the continuity of the settlement process. And by obtaining the vehicle queue information in real time and updating the parking number, the system ensures that each vehicle can smoothly complete the whole process from entry to settlement. The introduction of queue information effectively improves the organization of vehicle flow, avoids waste of parking space resources or abnormal vehicle entry and exit caused by number errors or matching problems, and improves the overall operation efficiency.

[0157] Reference appendix Figure 2 , which is a reverse driving determination system for the entry and exit lanes of a parking lot in an embodiment of the present invention, includes:

[0158] The acquisition module 10 is used to acquire the driving trajectory of the vehicle at the entry and exit lane based on a preset camera at the entry and exit lane;

[0159] A judgment module 20, configured to judge whether the driving trajectory is within the detection space of the access lane entrance and exit;

[0160] An execution module 30, configured to, if so, obtain the order information of the vehicle, generate an expected movement direction of the vehicle according to the order information, activate a ground induction coil preset at the access lane entrance and exit, calculate a position weight of the vehicle through the ground induction coil, and dynamically update the position weight based on the movement information of the vehicle within the detection space, where the expected movement direction specifically includes entering and leaving;

[0161] A second judgment module 40, configured to judge whether the position weight meets a preset reverse event;

[0162] A second execution module 50, configured to, if it meets the requirement, collect temporary image data of the vehicle, identify the shape information of the vehicle from the temporary image data, compare the shape information with a preset marking position at the access lane entrance and exit through the camera, and obtain real-time movement change data of the vehicle, where the shape information specifically includes the vehicle head, the vehicle body, and the vehicle tail.

[0163] In this embodiment, the acquisition module 10 collects the driving trajectories of passing vehicles at the entrance and exit lane openings based on cameras pre-installed at the entrance and exit lane openings, and then the judgment module 20 determines whether these driving trajectories are within the detection space of the entrance and exit lane openings to execute corresponding steps. For example, when the system determines that the driving trajectory of a certain vehicle at the entrance and exit lane opening is not within the detection space of the entrance and exit lane opening, the system will consider that the vehicle has not entered or left the lane opening according to the expected path or direction. The system will trigger an alarm or notification to remind the operator that the vehicle has not passed through the lane opening correctly. Re-confirm the behavior and position of the vehicle through other detection means (such as through inductive loop or activating a backup camera). If it is found that the vehicle is still near the lane opening but has not entered the effective detection space, the vehicle can be notified to adjust its entry and exit status for further verification. At the same time, if the vehicle is detected not to be within the correct trajectory multiple times, the system can dynamically adjust the detection space of the entrance and exit lane opening or the viewing angle of the camera to ensure that subsequent vehicles can be accurately identified. And if it is still detected that the vehicle fails to travel along the predetermined path, the system can automatically keep the gate locked or restart the detection process until it is confirmed that the vehicle has passed through correctly. For example, when the system determines that the driving trajectory of a certain vehicle at the entrance and exit lane opening is within the detection space of the entrance and exit lane opening, at this time, the execution module 30 will consider that the vehicle has entered or left the lane opening according to the expected path. The system will obtain or generate the order information of the vehicle. Based on these order information, the expected movement direction of the vehicle will be generated. The expected movement direction specifically includes entry and exit. Activate the inductive loop pre-installed at the entrance and exit lane opening. When the vehicle enters or leaves the entrance and exit lane opening, calculate the position weight of the vehicle through the inductive loop. Based on the movement information of the vehicle within the detection space, dynamically update the corresponding position weight. Through the accurate judgment of the vehicle driving trajectory, the system can confirm whether the vehicle has truly entered or left the entrance and exit lane opening, rather than just passing by. This ensures that the system will not release the vehicle by mistake, avoiding potential safety hazards or operational chaos caused by the unauthorized opening of the access control system when the vehicle has not actually entered or left the lane. At the same time, generating the expected movement direction (entry or exit) according to the order information of the vehicle can accurately predict the behavior of the vehicle when it passes by. The generation of this expected movement direction enables the system to identify abnormal situations in advance. For example, when the movement direction of the vehicle does not match the expectation, take timely measures (such as locking the door or alarming). And by activating the inductive loop, the position of the vehicle is monitored in real time, and the weight of the vehicle is dynamically updated. This real-time feedback mechanism helps the system accurately track the specific position of the vehicle at the lane opening, avoiding misoperations or security loopholes caused by incorrect vehicle position judgment. And the system can update the position weight in real time according to the dynamic movement information of the vehicle within the detection space, which enables the system to more precisely grasp each position and movement change of the vehicle, ensuring that only the vehicles that have truly entered or left the lane opening will trigger subsequent gate opening or closing operations, reducing the risk of misrelease or omission.Subsequently, the second judgment module 40 determines whether the position weight of the vehicle conforms to a preset reverse event to execute corresponding steps. For example, when the system determines that the position weight of the vehicle does not conform to the preset reverse event, the system will consider that the vehicle is normally entering or leaving the parking lot. The system will confirm whether the vehicle is entering or leaving the parking lot in the expected forward direction through multi-sensor data (such as inductive loops, cameras, radars, etc.). If the vehicle is moving along the normal driving path, it is confirmed that its behavior is normal, and the status of the vehicle is updated in real time to "normal entry" or "normal exit". According to the order information and detection results of the vehicle, the passing status of the vehicle is recorded, and the trajectory of the vehicle is continuously monitored to ensure that it completes the entry and exit according to the predetermined route, and the movement of the vehicle is continuously monitored. Especially after it is determined that the vehicle has not performed a reverse operation, it is ensured that no other abnormal situations occur. If there were any previous restrictions (such as reverse restrictions), the system will lift the restrictions to ensure that the vehicle can enter and exit smoothly. For example, when the system determines that the position weight of the vehicle conforms to the preset reverse event, at this time, the second execution module 50 will consider that the vehicle has an abnormal reverse when entering or leaving the parking lot. The system will collect the temporary image data of the vehicle, identify the external shape information of the vehicle from the temporary image data. The external shape information specifically includes the front of the vehicle, the body, and the rear of the vehicle. These external shape information are compared with the marking positions at the entrance and exit lanes to obtain the movement change data of the vehicle in real time. The system accurately identifies the reverse behavior by collecting image data in real time and analyzing the external shape information of the vehicle (front of the vehicle, body, rear of the vehicle), which helps to prevent misjudgment and missed judgment, ensuring that the corresponding reverse event is triggered only when the vehicle actually performs a reverse. This precise judgment mechanism improves the intelligence and accuracy of the system. At the same time, by comparing the external shape information of the vehicle with the marking positions at the entrance and exit lanes, the system can monitor in real time whether the vehicle deviates from the normal driving path, timely identify and record abnormal reverse behaviors. Abnormal reverse may lead to accidents or blockages. Therefore, timely discovery and handling of such situations helps to improve the safety of the parking lot entrance and exit. And by obtaining the movement change data of the vehicle in real time and making a quick response, the system can timely adjust the control strategy of the entrance and exit, avoid the reverse behavior from affecting the smooth passage of other vehicles, and reduce the traffic pressure inside and outside the parking lot. For vehicle owners, the system can timely remind or alarm when the vehicle has an abnormal reverse, which can help them avoid traffic troubles or damages caused by misoperations. The intelligent detection of the system can not only improve the parking efficiency, but also reduce the troubles of vehicle owners caused by incorrect reverse operations, improving the overall experience of users.

[0164] In this embodiment, it further includes:

[0165] A generation module, configured to generate the content to be settled for the vehicle in the parking lot based on the order information;

[0166] The third judgment module is used to judge whether the content to be settled has been settled;

[0167] The third execution module is used to, if not, detect the settlement abnormal information of the vehicle, calculate the settlement difference of the vehicle according to the settlement abnormal information, and dynamically adjust the content to be settled according to the settlement difference, wherein the settlement abnormal information specifically includes unsuccessful payment, mismatched payment amount, incorrect order status, and unactivated discount.

[0168] In this embodiment, the system generates the content to be settled for a vehicle within the parking lot based on different order information, and then the system determines whether these contents to be settled have been settled to execute corresponding steps. For example, when the system determines that the content to be settled for a certain vehicle within the parking lot has been successfully settled, the system will consider that the parking fee for the vehicle has been paid, and the parking record of the vehicle has been officially confirmed. The system will record the settlement time and payment amount of the vehicle to ensure the accuracy of all financial data. The system stores this settlement record in the database, along with information such as the settlement time, payment method, and parking duration, to ensure the integrity and traceability of the settlement. At the same time, if the system has imposed any restrictions on the vehicle during parking (such as unable to exit without settlement), after the settlement is completed at this time, the system should lift the relevant restrictions on the vehicle, automatically release the vehicle's exit permission, allow the vehicle to pass through the entrance and exit channels, and the system automatically opens the gate for release. The vehicle leaves smoothly. And after the settlement is completed, the system can mark this parking space as "available" and update the vacant space data of the parking lot in real time, which enables the system to accurately understand the current number of vacant parking spaces in the parking lot, facilitating dynamic management and optimizing the utilization efficiency of the parking lot. For example, when the system determines that the content to be settled for a certain vehicle within the parking lot has not been settled, the system will consider that the parking fee for the vehicle has not been paid. The system will detect the settlement exception information of the vehicle. The settlement exception information specifically includes payment not successful, payment amount mismatch, order status error, and discount not effective. According to different settlement exception information, calculate the settlement difference of the vehicle. Based on these settlement differences, dynamically adjust the content to be settled for the vehicle. By detecting the settlement exception information in detail, the system can accurately identify any problems in the settlement process and adjust relevant information according to the settlement difference to ensure the accuracy of the vehicle's parking fee. This helps prevent settlement errors caused by human errors or system failures, enhances the overall accuracy and reliability of the system. At the same time, detecting and handling settlement exceptions in a timely manner can reduce financial disputes and errors. For example, a payment amount mismatch or an order status error may result in the vehicle being wrongly charged or not charged. By dynamically adjusting the settlement content, losses can be effectively avoided and financial risks can be reduced. And when the vehicle owner may encounter various settlement problems during the payment process (such as payment not successful or discount not effective), if the system can automatically detect and adjust these problems, it will greatly improve the vehicle owner's usage experience and avoid dissatisfaction or inconvenience caused by settlement problems for the vehicle owner. Especially for the situation where the discount is not effective, the system can immediately correct and apply the correct discount to enhance customer satisfaction.

[0169] In this embodiment, the execution module further includes:

[0170] A building unit is configured to collect inductance change data when the vehicle passes through the inductive loop, and based on the inductance change data, construct position information of the vehicle within the detection space, wherein the inductance change data specifically includes signal intensity and signal change rate;

[0171] A judgment unit is configured to judge whether the position information can generate a corresponding position weight value;

[0172] An execution unit is configured to, if not, construct a temporary weight value of the vehicle according to a preset boundary tolerance of the detection space, apply a preset interpolation algorithm, dynamically update the temporary weight value according to a preset response delay of the vehicle, and generate a vehicle weight value change curve of the temporary weight value.

[0173] In this embodiment, the system collects the inductance change data when the vehicle passes through the inductive loop. The inductance change data specifically includes the signal intensity and the signal change rate. Based on these inductance change data, the position information of the vehicle in the detection space is constructed. Then, the system determines whether the position information can generate a corresponding position weight to execute the corresponding steps. For example, when the system determines that the position information of a certain vehicle in the detection space can generate a corresponding position weight, the system will consider that the vehicle is already in the preset detection space, and the system has successfully obtained the accurate position data of the vehicle. The system can update the state of the vehicle in real time according to the generated position information. For example, whether the vehicle has entered the access lane, whether it is waiting in the parking lot, or whether it is performing operations such as reversing. This information will be used to subsequently judge the behavior of the vehicle and whether it conforms to specific events (such as reversing, exiting the lot, etc.). At the same time, if the generated position information matches the preset events (such as reversing, exiting the lot, etc.), the system can trigger relevant control actions according to the position weight. For example, when it is detected that the vehicle is about to reverse and meets the conditions of the reversing event, the system can activate the warning system to remind the vehicle owner or activate the corresponding safety protection measures. And by calculating the position weight of the vehicle in real time, the system can continuously monitor the movement of the vehicle in the detection space. For example, when the vehicle travels along the specified trajectory of the access lane, the system can dynamically adjust the monitoring area in the detection space to ensure tracking the movement direction of the vehicle. If the vehicle deviates, the system can recalibrate the monitoring trajectory by adjusting the position weight. For example, when the system determines that the position information of a certain vehicle in the detection space cannot generate a corresponding position weight, at this time, the system will consider that the position of the vehicle has not been obtained in the detection space, and it is impossible to confirm whether the vehicle is in the detection space, and the order information cannot be generated normally. The system will apply the pre-set interpolation algorithm according to the boundary tolerance preset in the detection space to construct the temporary weight of the vehicle, and dynamically update these temporary weights according to the preset response delay of the vehicle to generate the vehicle weight change curve of the temporary weight.The system estimates the approximate position of the vehicle through an algorithm. This method improves the fault tolerance of the system and avoids the problem that the entire system cannot operate properly due to the temporary inability to obtain the vehicle position information. Even under signal interference, sensor errors, or environmental factors, the system can still continue to operate through temporary weights, ensuring the continuity and stability of parking lot management. At the same time, in some cases, the vehicle may be at the boundary of the detection space or in the process of moving, and the system fails to accurately capture its position. By using the interpolation algorithm to generate temporary weights, the system can continue to estimate the position of the vehicle, preventing misjudgment or system stagnation caused by the inability to confirm the vehicle position. For example, when the vehicle is entering the detection space but not fully entered, the interpolation algorithm can provide a reasonable estimate to avoid system interruption or wrongly rejecting the vehicle from passing. And by applying the temporary weights generated by the interpolation algorithm, the system can fill in the data gaps and avoid affecting subsequent operations due to the lack of position data. Over time, the temporary weights will be continuously adjusted dynamically and gradually approach the real data. This method provides smoother and more accurate vehicle data for the system, helping subsequent decisions to be more precise. The change of the temporary weights is dynamic, meaning that the system can update these values along with the real-time movement of the vehicle, signal changes, or environmental impacts, ensuring that the system can make a quick response, which is crucial for tasks such as dynamically adjusting parking lot management, lane control, and parking space allocation, especially in the case of high traffic or high-frequency operations.;

[0174] In this embodiment, it further includes:

[0175] A second acquisition module, configured to collect the backward distance of the vehicle in the detection space through the camera based on the marking position;

[0176] A fourth judgment module, configured to judge whether the backward distance reaches a preset distance upper limit;

[0177] A fourth execution module, configured to, if so, identify the movement mode of the vehicle according to the backward speed of the vehicle, and dynamically adjust the lane control mode of the access lane according to the movement mode, where the movement mode specifically includes manual backward and passive backward, and the lane control mode specifically includes a release mode and a lock gate mode.

[0178] In this embodiment, the system, based on the marking position at the entrance and exit lane, collects the reverse distance of the vehicle within the detection space through a camera, and then determines whether the reverse distance reaches a pre-set distance upper limit to execute corresponding steps. For example, when the system determines that the reverse distance of the vehicle within the detection space does not reach the pre-set distance upper limit, the system will consider that the vehicle is in the process of reversing, but its reversing behavior does not reach the set warning or restriction range. The system will continuously monitor the reversing process of the vehicle. By collecting the reverse distance and speed of the vehicle in real time, the system can ensure that the vehicle does not have excessive reverse or abnormal reversing actions, avoiding potential collisions or entering prohibited areas. At the same time, according to the real-time data of the vehicle's reverse (such as reverse speed, reverse direction), the system should dynamically update the vehicle's status information, including the vehicle's current relative position, reverse direction, and distance limit, etc., which will provide data support for subsequent operations (such as deciding whether to further restrict reversing or warning the driver), and according to the sensor data within the detection space (such as cameras, inductive loops, etc.), it will detect in real time whether there are obstacles or other vehicles hindering the reverse. If an obstacle is detected and the reverse distance of the vehicle is close to the set limit range, the system will activate the reverse warning mechanism. For example, when the system determines that the reverse distance of the vehicle within the detection space reaches the pre-set distance upper limit, at this time, the system will consider that it is easy to have an accident if the vehicle continues to reverse. The system will identify the movement mode of the vehicle according to the reverse rate of the vehicle. The movement mode specifically includes manual reverse and passive reverse. According to different movement modes, it will dynamically adjust the lane control mode at the entrance and exit lane. The lane control mode specifically includes the release mode and the lock gate mode;By monitoring the reverse distance and reverse speed in real time, the system can automatically evaluate the reverse mode of the vehicle when it approaches the set distance limit. If the vehicle continues to reverse and the reverse mode is "passive reverse" (for example, the system automatically controls or fails to stop as expected), the system will switch to the "lock mode", that is, restrict the vehicle from further reversing or entering the parking area to prevent collisions or other safety accidents. At the same time, by distinguishing between manual reverse and passive reverse, the system can more accurately evaluate whether the vehicle is in an abnormal reverse state. For example, when the vehicle is controlled by the driver (manual reverse), the system can allow it to continue reversing and provide necessary assistance, such as slow reverse prompts or warnings. When the vehicle is in the automatic reverse mode (such as caused by a system error), the system will take more stringent restrictions (such as lock mode) to avoid unnecessary accidents. And based on different reverse movement modes, the system can dynamically adjust the control mode of the access lane (such as release mode and lock mode) according to the real-time vehicle behavior. This automated and intelligent management greatly reduces the need for manual intervention, improves the overall operation efficiency of the parking lot, and reduces the risk of human error. By real-time monitoring and evaluating the reverse behavior of the vehicle, the system can decide whether to allow the vehicle to continue reversing or immediately initiate restrictive measures based on the reverse state of the vehicle. This strategy of dynamically adjusting the lane control mode can effectively avoid unnecessary traffic delays and congestion at the parking lot entrance.;

[0179] In this embodiment, the judgment module further includes:

[0180] An identification unit for identifying environmental change information within a preset range of the detection space before the vehicle arrives at the access lane, where the environmental change information specifically includes weather, light, and traffic flow;

[0181] A second judgment unit for judging whether the environmental change information reaches a preset threshold;

[0182] A second execution unit for, if so, dynamically adjusting the scanning space layout of the detection space according to the environmental change information, and adaptively adjusting the traffic flow restriction of the access lane according to the scanning space layout.

[0183] In this embodiment, before the vehicle arrives at the access lane entrance, the system identifies and detects environmental change information within a preset range in the detection space. The environmental change information specifically includes weather, light, and traffic flow. Then, the system determines whether these environmental change information reach the preset thresholds to execute corresponding steps. For example, when the system determines that the environmental change information within the preset range in the detection space does not reach the preset thresholds, the system will consider that the environmental conditions in the current detection space will not affect the camera's recognition of the vehicle's entry and exit. The system will continue to obtain the entry and exit data of the vehicle through the camera, determine whether the vehicle is within the detection space, and perform recognition to ensure the accuracy of the vehicle's identity and position. At the same time, when the environmental conditions are normal, the system can release the vehicle without interference, without making any adjustments to the release mode of the lane entrance. The gate of the lane entrance can be automatically released according to the arrival time, position, and vehicle information of the vehicle, without manual intervention, and can focus on the recognition of the vehicle's entry and exit, rather than dealing with the interference of environmental changes additionally, saving computing resources and time, and improving the response speed and stability of the system. For example, when the system determines that the environmental change information within the preset range in the detection space reaches the preset thresholds, at this time, the system will consider that the environmental conditions in the current detection space affect the camera's recognition of the vehicle's entry and exit. The system will dynamically adjust the scanning space layout of the detection space according to different environmental change information, and adaptively adjust the traffic flow limit of the access lane entrance according to this scanning space layout. When the environmental change information reaches the preset thresholds, the system can compensate for the influence of environmental factors such as light intensity change and weather change on the camera's recognition ability by dynamically adjusting the scanning space layout of the detection space. By appropriately shrinking or expanding the scanning space, the system can ensure that the vehicle can still be accurately recognized under different environmental conditions, thereby reducing the possibility of misjudgment and missed judgment, improving the recognition accuracy. At the same time, the system adaptively adjusts the traffic flow limit of the access lane entrance according to the environmental change to adapt to different weather and environmental conditions. For example, in rainy, snowy, or windy weather, the traffic flow limit can be dynamically reduced to avoid excessive vehicle concentration and reduce the risk of potential traffic jams or accidents. This helps to improve the efficiency and safety of vehicle entry and exit, ensure smooth lane use under adverse environments, and through the real-time monitoring and analysis of environmental change information, the system can adjust the scanning layout and traffic flow management strategy according to the current environmental conditions, thereby achieving more intelligent management. This dynamic adaptation mechanism enables the system to cope with different external environmental changes, enhances the flexibility and adaptability of parking lot management, and ensures the efficient operation of the system under changing environments.

[0184] In this embodiment, the second judgment module further includes:

[0185] An acquisition unit, configured to obtain the distance value between the reversing vehicle and the waiting lane based on the waiting lane preset at the access lane entrance;

[0186] The third judgment unit is used to judge whether there are other vehicles in the waiting lane;

[0187] The third execution unit, if so, activates the preset tire obstacle content in the waiting lane according to the distance value, detects the collision volume between the reversing vehicle and the tire obstacle content, and dynamically adjusts the restriction degree of the tire obstacle content on the reversing vehicle according to the collision volume, where the restriction degree specifically includes physical collision pressure, reversing path offset, and speed adjustment.

[0188] In this embodiment, the system obtains the distance value between the reversing vehicle and the waiting lane based on the waiting lane pre-set at the entrance and exit, and then the system determines whether there are other vehicles in the waiting lane to execute the corresponding steps; for example, when the system determines that there are no other vehicles in the waiting lane, the system will consider that the current waiting lane is idle and there are no other vehicles waiting, and the system will allow the reversing vehicle to enter the waiting lane to ensure that the vehicle can successfully complete the reversing operation. The system can dynamically adjust the lane release strategy to allow the reversing vehicle to park or leave smoothly, avoiding unnecessary congestion or delays, and at the same time flexibly adjust the lane release frequency or sequence according to the vehicle's reversing distance value and other monitoring information. , improve the overall traffic efficiency. For example, if other vehicles are about to arrive and prepare to enter the waiting lane, the system can predict and adjust the lane scheduling strategy based on real-time data to ensure the smooth flow of traffic in and out of the lane. When the waiting lane is idle, the system can quickly identify this situation, optimize the entry process of reversing vehicles, and reduce unnecessary waiting time. This dynamic scheduling can not only improve the passing efficiency of a single vehicle, but also improve the overall utilization rate of the entry and exit lanes, reduce the overall waiting and stay time of the system, and improve the overall operational efficiency of the parking lot; for example, when the system determines that there are vehicles in other queues in the waiting lane, the system will think that the reversing vehicle may collide with other queue vehicles, and the system needs to prevent the reversing vehicle from colliding with other queue vehicles. If the vehicle continues to reverse, the system will activate the tire obstacle content pre-set in the waiting lane according to the distance value, detect the collision volume between the reversing vehicle and the tire obstacle content, and dynamically adjust the degree of restriction of the tire obstacle content on the reversing vehicle according to different collision volumes. The degree of restriction specifically includes physical collision pressure, reversing path offset and speed adjustment. The system can take action before the danger occurs to avoid collision between vehicles by real-time monitoring of possible collisions between the reversing vehicle and other queued vehicles. This not only protects the vehicle from damage, but also effectively prevents potential personal injury. The dynamic adjustment of the tire obstacle content and collision volume can accurately control the behavior of the reversing vehicle and reduce risks. At the same time, the system can dynamically adjust The degree of restriction of tire obstacles (such as physical collision pressure, reversing path offset and speed adjustment) helps to effectively manage traffic flow. In the presence of other vehicles, it limits the operation of reversing vehicles, avoids accidents, and significantly improves the overall safety of the parking lot. This can effectively reduce accidents, disputes and losses for both car owners and parking lot managers. By adjusting the reversing path offset and speed adjustment, the system can optimize the behavior of reversing vehicles, ensure that the vehicle can safely reverse into the appropriate position, avoid excessive or improper reversing operations, and dynamically adjust the restriction intensity to make the vehicle reversing process smoother and more accurate, thereby improving the overall operating efficiency of the parking lot and reducing repeated operations and invalid parking time of vehicles.

[0189] In this embodiment, the acquisition module further includes:

[0190] A second construction unit, configured to construct in real time a temporary parking number for the vehicle during entry and exit based on a preset waiting lane at the entry and exit lane opening;

[0191] A fourth determination unit, configured to determine whether the temporary parking number matches the current vehicle for which an order information should be generated;

[0192] A fourth execution unit, configured to, if not, restrict the vehicle from performing order operations on the order information according to the temporary parking number, obtain queue information of the current vehicle at the entry and exit lane opening, and dynamically update the temporary parking number according to the queue information, where the order operations specifically include generation and settlement.

[0193] In this embodiment, the system constructs a temporary parking number for a vehicle during entry and exit in real time based on the pre-set waiting lane at the entrance and exit lanes. Then, the system determines whether the temporary parking number matches the vehicle corresponding to the currently generated order information to execute corresponding steps. For example, when the system determines that a certain temporary parking number can match the vehicle corresponding to the currently generated order information, the system will consider that the vehicle is completely consistent with its corresponding order information, and the vehicle can successfully enter or leave the parking lot and complete relevant processing. The system will generate a parking record or update the parking status of the vehicle based on the order information, including updating the parking duration, fee, parking space information, etc. At the same time, the settlement process will start according to the matched order information, including calculating the parking fee, applying discounts or promotions, generating a bill, etc. The payment information of the vehicle will also be verified to ensure there is no omission. And if the vehicle is exiting at this time, the system will automatically unlock the access gate to allow the vehicle to leave smoothly. If it is entering, the system will allocate an idle parking space and guide the vehicle to the designated area. For example, when the system determines that a certain temporary parking number cannot match the vehicle corresponding to the currently generated order information, the system will consider that the vehicle is inconsistent with the corresponding order information and cannot settle the order information normally. The system will restrict the vehicle from performing order operations on the order information according to the temporary parking number. The order operations specifically include generation and settlement. Obtain the queue information of the current vehicle at the entrance and exit lanes, and based on this queue information, dynamically update the temporary parking number of the current vehicle for the current vehicle to perform normal order settlement. By restricting vehicles with unmatched temporary parking numbers from performing order operations, the system avoids incorrect settlements or the generation of incorrect orders in the case of inconsistent vehicle and order information, which effectively guarantees the accuracy and reliability of the settlement process, prevents financial losses or customer disputes caused by information errors. At the same time, when it is detected that the temporary parking number does not match the order information, the system dynamically adjusts the temporary parking number of the vehicle according to the queue information of the current vehicle at the entrance and exit lanes. This means that the system can correct and update the parking status of the vehicle in real time to ensure that each vehicle can be matched with the correct order, guarantee the order of the parking lot and the continuity of the settlement process. And by obtaining the vehicle queue information in real time and updating the parking number, the system ensures that each vehicle can successfully complete the whole process from entry to settlement. The introduction of queue information effectively improves the organization of vehicle flow, avoids waste of parking space resources or abnormal vehicle entry and exit caused by number errors or matching problems, and improves the overall operation efficiency.

[0194] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for determining reverse driving at the entrance and exit lane of a parking lot, characterized in that, It includes the following steps: Based on the preset cameras at the entrance and exit lanes, collect the driving trajectory of the vehicle at the entrance and exit lanes; Judge whether the driving trajectory is within the detection space of the entrance and exit lanes; If so, obtain the order information of the vehicle, generate the expected movement direction of the vehicle according to the order information, activate the preset inductive loop at the entrance and exit lanes, calculate the position weight of the vehicle through the inductive loop, and dynamically update the position weight based on the movement information of the vehicle within the detection space. Among them, the expected movement direction specifically includes entering and leaving. Among them, the inductive loop is specifically multiple coils, which are respectively arranged at the starting point of the entrance and exit, positions close to the entrance and exit, and inside the parking lot; Judge whether the position weight meets the preset reverse event. Among them, the position weight is specifically to update the position weight through multiple inductive loops, generate a corresponding position weight change curve, and judge the reverse event through the position weight change curve; If it meets, collect the temporary image data of the vehicle, identify the external shape information of the vehicle from the temporary image data, and compare the external shape information with the preset marking position at the entrance and exit lanes through the camera, and obtain the movement change data of the vehicle in real time. Among them, the external shape information specifically includes the front of the vehicle, the body, and the rear of the vehicle.

2. The reverse driving determination method for the access lane of a parking lot according to claim 1, wherein Before the step of obtaining the order information of the vehicle and generating the expected movement direction of the vehicle according to the order information, it further includes: Generate the content to be settled of the vehicle in the parking lot based on the order information; Judge whether the content to be settled has been settled; If not, detect the settlement abnormal information of the vehicle, calculate the settlement difference of the vehicle according to the settlement abnormal information, and dynamically adjust the content to be settled according to the settlement difference. Among them, the settlement abnormal information specifically includes payment not successful, payment amount mismatch, order status error, and preferential treatment not taking effect.

3. The reverse driving determination method for the entrance and exit lanes of a parking lot according to claim 1, characterized in that, In the step of activating the preset inductive loop at the entrance and exit lanes and calculating the position weight of the vehicle through the inductive loop, it further includes: Collect the inductance change data when the vehicle passes through the inductive loop, and construct the position information of the vehicle within the detection space based on the inductance change data. Among them, the inductance change data specifically includes signal strength and signal change rate; Judge whether the position information can generate a corresponding position weight; If not, construct the temporary weight of the vehicle according to the preset boundary tolerance in the detection space, apply the preset interpolation algorithm, and dynamically update the temporary weight according to the preset response delay of the vehicle to generate the vehicle weight change curve of the temporary weight.

4. The reverse driving determination method for the access lane of a parking lot according to claim 1, characterized in that, After the step of comparing the external shape information with the preset marking position at the entrance and exit lanes through the camera and obtaining the movement change data of the vehicle in real time, it further includes: Collect the reverse distance of the vehicle within the detection space through the camera based on the marking position; Judge whether the reverse distance reaches the preset distance upper limit; If so, identify the movement mode of the vehicle according to the reverse speed of the vehicle, and dynamically adjust the lane control mode of the access lane according to the movement mode. The movement mode specifically includes manual reverse and passive reverse, and the lane control mode specifically includes a release mode and a lock gate mode.

5. The method for determining a reverse in a parking lot access lane according to claim 1, characterized in that In the step of determining whether the driving trajectory is within the detection space of the access lane, it further includes: Before the vehicle arrives at the access lane, identify the environmental change information within a preset range of the detection space, where the environmental change information specifically includes weather, light, and traffic flow; Determine whether the environmental change information reaches a preset threshold; If so, dynamically adjust the scanning space layout of the detection space according to the environmental change information, and adaptively adjust the traffic flow limit of the access lane according to the scanning space layout.

6. The reverse driving determination method for the entrance and exit lanes of a parking lot according to claim 1, characterized in that, In the step of determining whether the position weight meets the preset reverse event, it further includes: Based on the preset waiting lane at the access lane, obtain the distance value between the reversing vehicle and the waiting lane; Determine whether there are other vehicles in the waiting lane; If so, activate the preset tire obstacle content in the waiting lane according to the distance value, detect the collision volume between the reversing vehicle and the tire obstacle content, and dynamically adjust the restriction degree of the tire obstacle content on the reversing vehicle according to the collision volume. The restriction degree specifically includes physical collision pressure, reverse path offset, and speed adjustment.

7. The reverse driving determination method for the access lane of a parking lot according to claim 1, characterized in that, In the step of collecting the driving trajectory of the vehicle at the access lane based on the preset camera at the access lane, it further includes: Based on the preset waiting lane at the access lane, real-time construct the temporary parking number of the vehicle when entering and leaving; Determine whether the temporary parking number matches the current vehicle for which the order information should be generated; If not, restrict the vehicle from performing order operations on the order information according to the temporary parking number, obtain the queue information of the current vehicle at the access lane, and dynamically update the temporary parking number according to the queue information. The order operations specifically include generation and settlement.

8. A reverse driving determination system for the entrance and exit lanes of a parking lot, characterized in that, It includes: A collection module for collecting the driving trajectory of the vehicle at the access lane based on the preset camera at the access lane; A judgment module for judging whether the driving trajectory is within the detection space of the access lane; An execution module for, if so, obtaining the order information of the vehicle, generating the expected movement direction of the vehicle according to the order information, activating the preset inductive loop at the access lane, calculating the position weight of the vehicle through the inductive loop, and dynamically updating the position weight based on the movement information of the vehicle within the detection space. The expected movement direction specifically includes entering and leaving. The inductive loop is specifically multiple coils, respectively arranged at the starting point of the entrance and exit, a position close to the entrance and exit, and inside the parking lot. A second judgment module, configured to judge whether the position weight meets a preset reverse event, wherein the position weight is specifically updated through multiple inductive loop coils to generate a corresponding position weight change curve, and the reverse event is judged through the position weight change curve; A second execution module, configured to, if it meets the condition, collect temporary image data of the vehicle, identify the external shape information of the vehicle from the temporary image data, and compare the external shape information with a preset marking position at the entrance and exit lane through the camera, and obtain the motion change data of the vehicle in real time, wherein the external shape information specifically includes the vehicle head, the vehicle body, and the vehicle tail.

9. The reverse determination system for the access lane of a parking lot according to claim 8, wherein It further includes: A generation module, configured to generate a to-be-settled content of the vehicle in the parking lot based on the order information; A third judgment module, configured to judge whether the to-be-settled content has been settled; A third execution module, configured to, if not, detect settlement abnormal information of the vehicle, calculate a settlement difference of the vehicle according to the settlement abnormal information, and dynamically adjust the to-be-settled content according to the settlement difference, wherein the settlement abnormal information specifically includes unsuccessful payment, mismatched payment amount, incorrect order status, and unactivated discount.

10. The reverse determination system for the entrance and exit lane of a parking lot according to claim 8, wherein, The execution module further includes: A construction unit, configured to collect inductance change data when the vehicle passes through the inductive loop coil, and construct position information of the vehicle in the detection space based on the inductance change data, wherein the inductance change data specifically includes signal intensity and signal change rate; A judgment unit, configured to judge whether the position information can generate a corresponding position weight; An execution unit, configured to, if not, construct a temporary weight of the vehicle according to a preset boundary tolerance in the detection space, apply a preset interpolation algorithm, and dynamically update the temporary weight according to a preset response delay of the vehicle to generate a vehicle weight change curve of the temporary weight.

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