Parking space management method and device

Abstract

The present application provides a parking space management method and device, which relates to the field of parking management technology. The parking space management method includes: detecting the vehicle situation in the parking space through a detection module to determine whether there is a parking behavior in the parking space; wherein a radar device configured for timed scanning is provided in the detection module; if the detection module determines that there is parking behavior in the parking space, a trigger signal is sent to the acquisition module in standby mode through the detection module; through the acquisition module, the trigger signal is responded to and switched from standby mode to working mode, the vehicle data in the parking space is acquired, and the vehicle data is sent to the management end; wherein a camera device configured for low-power standby mode when not triggered is provided in the acquisition module. The present application performs real-time detection of the parking space situation through a detection module with a timed scanning function, so as to wake up the acquisition module for data acquisition when there is parking behavior, thereby effectively reducing the energy consumption of each module working for a long time.

Description

Technical Field

[0001] The present application relates to the technical field of parking management, and in particular to a parking space management method and device. Background Art

[0002] In order to alleviate the problem of parking difficulties in cities, at present, roadside parking spaces are usually set up in some scattered areas in the city to facilitate the parking of motor vehicles. For example, roadside parking spaces are set up on the roads in the city to facilitate the parking of motor vehicles. Considering that roadside parking spaces are relatively scattered, if parking management is done manually, it will bring about the problems of low parking management efficiency and high labor costs. Therefore, the existing technology introduces a parking management system to manage roadside parking spaces.

[0003] Existing parking management systems need to identify the vacancy and status of parking spaces when managing parking spaces on the road. However, currently, the status of parking spaces is usually monitored through a single video surveillance or radar recognition. During monitoring, the system is in a working state for a long time, the energy required for detection is high and the recognition efficiency is low, resulting in poor parking space monitoring effect, which leads to unfavorable situations such as chaotic parking lot management, and has an adverse impact on users' parking experience. Summary of the invention

[0004] In view of this, an object of the embodiments of the present application is to provide a parking space management method and device to improve the problem of poor parking space monitoring effect existing in the prior art.

[0005] In order to solve the above problems, in a first aspect, an embodiment of the present application provides a parking space management method, the method comprising:

[0006] The detection module detects the vehicle situation in the parking space to determine whether there is a parking behavior of the vehicle in the parking space; wherein the detection module is provided with a radar device configured for timed scanning;

[0007] If the detection module determines that the parking behavior occurs in the parking space, a trigger signal is sent to the acquisition module in the standby mode through the detection module;

[0008] Through the acquisition module, the trigger signal is responded to and the standby mode is switched to the working mode to acquire the vehicle data in the parking space and send the vehicle data to the management end; wherein the acquisition module is provided with a camera device which is configured as a low-power standby mode when not triggered.

[0009] In the above implementation process, the detection module is provided with a low-power radar device with timed scanning, which can detect the vehicle situation in the parking space regularly to determine whether there is a parking behavior in the parking space. In addition, the acquisition module maintains a low-power standby mode when not working. The acquisition module is provided with a camera device configured to be in a low-power standby mode when not triggered. When the detection module determines that there is parking behavior in the parking space after detection, it can send a corresponding trigger signal to the acquisition module in standby mode to wake up the acquisition module through the trigger signal, so that the acquisition module responds to the trigger signal, switches from the low-power standby mode to the normal working mode, collects data in the parking space, obtains the corresponding vehicle data and sends the vehicle data to the management end for management. It can effectively reduce the energy consumption required by the detection module through a low-power timed scanning method, and can also effectively reduce the energy consumption required by the acquisition module through the conversion between a low-power standby mode and a normal working mode, thereby reducing the energy required for parking space management. In addition, it can start data collection only when parking behavior is detected, effectively improving the recognition efficiency and accuracy when managing vehicles, thereby optimizing the monitoring effect of parking spaces, reducing unfavorable situations such as chaotic parking lot management, and is suitable for a variety of different parking scenarios to enhance the user's parking experience.

[0010] Optionally, the detecting module detects the vehicle situation in the parking space to determine whether there is a parking behavior of a vehicle in the parking space, including:

[0011] By means of the detection module, object detection is performed on the parking space to obtain a target signal;

[0012] By means of the detection module, the type of the object in the parking space is identified based on the target signal to determine whether the object in the parking space is the vehicle;

[0013] If the detection module determines that the object is the vehicle, it determines whether the vehicle has parking behavior based on preset time conditions and movement parameters of the vehicle; wherein the movement parameters include at least one of the movement trajectory of the vehicle, speed change data, and distance parameters between the vehicle and the restriction line in the parking space.

[0014] In the above implementation process, when detecting whether there is a parking behavior of a vehicle in a parking space, the detection module can first detect the object in the parking space to obtain a corresponding target signal, and then identify based on the target signal to determine whether there is an object in the parking space and whether the object in the parking space is a vehicle. When determining that there is a vehicle in the parking space, analysis can be performed based on movement parameters related to vehicle movement and corresponding time conditions to determine whether the vehicle in the parking space has a corresponding parking behavior. The ability to first detect and identify objects in the parking space, and then analyze whether it has a parking behavior when a specific vehicle is identified, effectively improves the accuracy, effectiveness and real-time performance of detecting whether there is a parking behavior of a vehicle in the parking space.

[0015] Optionally, performing object detection on the parking space by the detection module to obtain a target signal includes:

[0016] Determine working parameters based on the real-time environment of the parking space through the detection module; wherein the working parameters include: at least one of the transmitting power, receiving frequency, and anti-interference ability of the radar device;

[0017] By means of the detection module, object detection is performed on the current parking space based on the working parameters to obtain a first signal;

[0018] By means of the detection module, interference reduction processing is performed on the first signal to obtain a second signal;

[0019] The detection module compensates for the reflectivity of the second signal based on a compensation algorithm to obtain the target signal.

[0020] In the above implementation process, in order to improve the accuracy of the target signal obtained when detecting objects in the parking space, before the detection, the appropriate working parameters of the radar device when working in the current environment can be determined according to the real-time environment of the parking space, so as to work based on the working parameters, detect the objects in the parking space under the current situation, and obtain the corresponding first signal. Considering the interference situation during the detection, the first signal can be processed to reduce interference to obtain a second signal with less interference, and considering the reflection of vehicles of different colors, the reflectivity of the second signal can be compensated based on the corresponding compensation algorithm to enhance the detection effect of low reflectivity targets and obtain the final target signal. It is possible to select appropriate working parameters for detection according to the actual environment of the parking space, and perform interference reduction processing and reflectivity compensation on the detected signal, which effectively improves the accuracy and effectiveness of the target signal, thereby improving the accuracy of identifying objects in the parking space based on the target signal.

[0021] Optionally, a controller is provided in the acquisition module, and the controller is connected to the camera device;

[0022] The acquisition module switches from the standby mode to the working mode in response to the trigger signal, acquires the vehicle data in the parking space, and sends the vehicle data to the management end, including:

[0023] By means of the controller, based on the received trigger signal, the priority scheduling algorithm and the predictive control algorithm, the camera device is controlled to switch from the standby mode to the working mode;

[0024] By means of the camera device, data of vehicles in the parking space are collected based on a preset trigger event in a working mode to obtain initial data; wherein the trigger event includes at least one of a parking event, an entry event, an exit event, and an abnormal event;

[0025] The controller processes the initial data to obtain the vehicle data, and sends the vehicle data to the management end.

[0026] In the above implementation process, a corresponding controller is provided in the acquisition module, and the controller can receive the trigger signal sent by the detection module, and process it based on the trigger signal, the priority scheduling algorithm and the predictive control algorithm to control the camera device in the standby mode to switch to the corresponding working mode. In the working mode, the camera device can collect data on the vehicle in the parking space based on the preset trigger event, obtain the corresponding initial data, and transmit the initial data to the controller, so that the initial data can be processed by the controller to obtain the corresponding vehicle data, and the vehicle data is sent to the management end for management by the management end. Based on the trigger signal and a variety of algorithms, the signal processing and the control operation of the camera device can be completed in a very short event, which effectively improves the efficiency of the camera device when switching modes, and the camera device can also perform targeted data collection according to a variety of different trigger events, which effectively improves the validity of the vehicle data.

[0027] Optionally, wherein the vehicle data includes character data of the vehicle;

[0028] The controller processes the initial data to obtain the vehicle data, including:

[0029] By means of the controller, the initial data is classified and screened to obtain vehicle license plate data;

[0030] By means of the controller, image recognition is performed on the vehicle license plate data to obtain target license plate data whose image quality meets preset conditions;

[0031] The controller extracts features from the target license plate data to obtain the character data.

[0032] In the above implementation process, the vehicle data may include character data related to the vehicle's license plate. When the controller performs data processing, the initial data may be classified and screened first to obtain the vehicle license plate data. In order to improve the quality of the data, image recognition may be performed on the vehicle license plate data to perform quality assessment on the image data in the vehicle license plate data to obtain target license plate data whose image quality meets preset conditions. Moreover, considering the complexity and diversity of license plate characters, feature extraction may be performed on the target license plate data to obtain corresponding character data. The data related to the license plate can be processed based on quality assessment, screening and feature extraction, which effectively improves the image quality and accuracy of the character data, so as to improve the accuracy of subsequent recognition processing of the character data, thereby optimizing the management effect of the management end based on the vehicle data.

[0033] Optionally, the vehicle data includes motion data of the vehicle;

[0034] The controller processes the initial data to obtain the vehicle data, including:

[0035] By means of the controller, target tracking is performed on the initial data to obtain vehicle characteristic data;

[0036] The controller determines the three-dimensional information of the vehicle based on the vehicle characteristic data, and determines the motion data of the vehicle based on the two-dimensional information in the parking space and the three-dimensional information.

[0037] In the above implementation process, the vehicle data may include motion data related to vehicle movement. When the controller processes the data, it may first perform target tracking on the initial data to determine the vehicle feature data corresponding to multiple targets. It may construct corresponding three-dimensional information based on the vehicle feature data, and analyze the two-dimensional information in the parking space and the three-dimensional information of the vehicle to determine the vehicle's motion data. It is able to identify each target on the vehicle based on the target tracking algorithm, and analyze the vehicle's motion in combination with the processing methods of three-dimensional and two-dimensional information, effectively improving the effectiveness of the motion data, so as to improve the effectiveness of the subsequent control of the camera device based on the motion data, thereby optimizing the management effect of the management end based on the vehicle data.

[0038] Optionally, the timing scanning frequency of the radar device is determined by:

[0039] Obtaining historical parking records of the parking space;

[0040] Analyzing the historical parking records by time period to determine parking frequencies in multiple time periods;

[0041] The timed scanning frequency in each of the time periods is determined based on each of the parking frequencies.

[0042] In the above implementation process, the radar device is set to a timed scanning working mode to effectively reduce the working time of the radar device, thereby reducing the energy consumption required by the detection module when it is working. When setting the timed scanning frequency of the radar device, a time period analysis can be performed based on the historical parking records of the parking space to determine the parking frequencies corresponding to multiple different time periods, thereby determining the timed scanning frequency in each time period based on the multiple parking frequencies. The timed scanning frequency of the radar device can be set in different time periods based on the historical parking frequencies of the parking space, so that the timed scanning of the radar device is consistent with the actual working conditions of the parking space, effectively improving the real-time performance of the detection module during detection, and is suitable for a variety of different parking scenarios and parking periods.

[0043] In a second aspect, an embodiment of the present application further provides a parking space management device, the device comprising: a detection module and a collection module;

[0044] The detection module is connected to the acquisition module;

[0045] The detection module is used to detect the vehicle situation in the parking space and determine whether there is a parking behavior of a vehicle in the parking space; wherein the detection module is provided with a radar device configured for timed scanning;

[0046] If the detection module determines that the parking behavior occurs in the parking space, the detection module is further configured to send a trigger signal to the acquisition module in the standby mode;

[0047] The acquisition module is used to switch from the standby mode to the working mode in response to the trigger signal, acquire the vehicle data in the parking space, and send the vehicle data to the management end; wherein, the acquisition module is provided with a camera device which is configured as a low-power standby mode when not triggered.

[0048] In the above implementation process, the detection module is communicatively connected with the acquisition module to realize the corresponding data transmission function. The detection module can periodically detect the vehicle situation in the parking space to determine whether there is a vehicle parking behavior in the parking space. The acquisition module maintains a low-power standby mode when not working. The acquisition module is provided with a camera device configured to be in a low-power standby mode when not triggered. When the detection module determines that there is parking behavior in the parking space after detection, it can send a corresponding trigger signal to the acquisition module in standby mode to wake up the acquisition module through the trigger signal, so that the acquisition module responds to the trigger signal, switches from the low-power standby mode to the normal working mode, collects data in the parking space, obtains the corresponding vehicle data and sends the vehicle data to the management end for management.

[0049] Optionally, the device further comprises: a baffle assembly; the baffle assembly is connected to the detection module;

[0050] The detection module is further used to detect distance data between the vehicle and the detection module, and compare the distance data with a preset safety distance threshold range;

[0051] If the detection module determines that the distance data is within the safety distance threshold range, the detection module is further configured to control the baffle assembly to be lowered;

[0052] If the detection module determines that the distance data is greater than the safety distance threshold range, the detection module is further configured to control the baffle assembly to maintain a current state or to rise.

[0053] In the above implementation process, a corresponding baffle assembly is also provided in the parking space management device, and the baffle assembly is connected to the detection module to realize the restriction and release function of the vehicle in the parking space. The detection module can detect the distance data between the vehicle and itself, and compare the distance data with the preset safety distance threshold range to analyze and determine the distance relationship between the vehicle and the device. When the distance data is within the safety distance threshold range, it indicates that the distance between the vehicle and the device is close but relatively safe, and the detection module can control the baffle assembly to lower to reduce the collision between the baffle assembly and the vehicle; when the distance data is greater than the safety distance threshold range, it indicates that the distance between the vehicle and the device is far, and the vehicle may be in the state of entering or leaving the parking space. The detection module can control the baffle assembly to maintain the current state or rise, so that the baffle assembly will not hinder the vehicle entering or leaving the parking space. It can detect and analyze the distance between the vehicle and the device, and control the baffle assembly to perform corresponding processing in different situations, and can realize the corresponding parking space restriction function without affecting the vehicle.

[0054] Optionally, the baffle assembly includes: a resistance sensor and a rebound assembly; the resistance sensor is connected to the rebound assembly;

[0055] The resistance sensor is used to detect the resistance applied to the rebound component, and control the rebound component to rebound when the resistance reaches a preset resistance threshold.

[0056] In the above implementation process, the baffle assembly is also provided with a corresponding resistance sensor and a rebound assembly. The resistance sensor can detect the resistance of the rebound assembly, and when the resistance reaches a preset resistance threshold, the rebound assembly is controlled to rebound, so that a certain gap can be formed between the baffle assembly and the vehicle floor, ensuring that the vehicle can pass smoothly without being hindered by the baffle assembly, so that the vehicle will not collide with the baffle assembly when parking or driving away, thereby protecting the vehicle from damage.

[0057] In summary, the embodiments of the present application provide a parking space management method and device, which performs real-time detection of parking space conditions through a detection module with a timed scanning function, so as to wake up the collection module in standby mode for data collection when parking behavior occurs, thereby effectively reducing the energy consumption of each module working for a long time. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 A flowchart of a parking space management method provided in an embodiment of the present application;

[0060] Figure 2 A detailed flowchart of step S100 provided in an embodiment of the present application;

[0061] Figure 3 A detailed flowchart of step S110 provided in an embodiment of the present application;

[0062] Figure 4 A detailed flowchart of step S300 provided in an embodiment of the present application;

[0063] Figure 5 A detailed flowchart of step S330 provided in an embodiment of the present application;

[0064] Figure 6 A detailed flowchart of another step S330 provided in an embodiment of the present application;

[0065] Figure 7 A flowchart of another parking space management method provided in an embodiment of the present application;

[0066] Figure 8 A schematic diagram of the structure of a parking space management device provided in an embodiment of the present application.

[0067] Icon: 500-parking space management device; 510-detection module; 520-collection module. DETAILED DESCRIPTION

[0068] The technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the embodiments of the present application.

[0069] Existing parking management systems need to identify the vacancy and status of parking spaces when managing parking spaces on the road. However, currently, the status of parking spaces is usually monitored through a single video surveillance or radar recognition. Since current parking lots usually work all day, the system is in a working state for a long time during monitoring. The energy required for detection is high and the recognition efficiency is low, resulting in poor parking space monitoring effect, which leads to unfavorable situations such as chaotic parking lot management, which has an adverse impact on the user's parking experience.

[0070] In order to solve the above problems, an embodiment of the present application provides a parking space management method, which is applied to a parking space management device. The parking space management device can be set on multiple parking spaces in corresponding outdoor parking lots and indoor parking lots. For example, the parking space management device can be set in a parking lock on the parking space to monitor the actual situation in the parking space and manage the work of the parking space and the situation of the vehicle based on the collected data.

[0071] See also Figure 1 , Figure 1 A flowchart of a parking space management method provided in an embodiment of the present application, the method may include steps S100-S300.

[0072] Step S100: Detect the vehicle situation in the parking space through the detection module to determine whether there is a vehicle parking behavior in the parking space.

[0073] The detection module can periodically detect the vehicle situation in the parking space to determine whether there is a parking behavior of the vehicle in the parking space. It should be noted that the detection module is provided with a radar device configured for timed scanning, and the radar device can be a low-power laser radar. In order to further reduce the energy consumption required for the radar to work, the radar device can be configured to have a timed scanning frequency such as once every 1 second or once every 2 seconds.

[0074] Optionally, in order to further optimize the detection effect of the detection module, a laser radar device with a large number of lines and a high angular resolution can be selected. It can improve the accuracy and density of the radar device's perception of the environment, thereby obtaining more point cloud data. A large number of lines and a high angular resolution can increase the density of the laser radar's point cloud data, enabling the radar device to more finely depict the environment, including potential sources of interference, more accurately identify the contour and position of the target object, and reduce interference caused by misidentification. The installation position and detection angle of the radar device can also be optimized. Due to the low visual contrast of dark vehicles, a wider horizontal viewing angle is required to achieve accurate identification and classification of dark vehicles. Therefore, the vertical installation angle of the radar device can be adjusted according to the vehicle type and the performance of the radar device so that it can cover a variety of dark vehicles, such as areas where black vehicles may appear. By adjusting the horizontal installation angle of the radar device, full coverage of the front, side and rear of the vehicle can be achieved.

[0075] Step S200: If the detection module determines that there is parking behavior in the parking space, a trigger signal is sent to the collection module in the standby mode through the detection module.

[0076] When the detection module detects that a vehicle is parking in the parking space, a trigger signal may be immediately generated and sent to the acquisition module in the standby mode.

[0077] Optionally, high-level signal processing technologies, such as digital signal processing technology (DSP) and field programmable gate array (FPGA), can be used to process and process the trigger signal to improve the efficiency and accuracy of trigger signal processing, reduce the amount of calculation, and thus reduce power consumption. Efficient signal processing algorithms, such as improved algorithms of fast Fourier transform (FFT), can be used to reduce data processing time and improve real-time performance. The noise interference during radar device detection can be reduced by filtering algorithms, the quality of trigger signals can be improved, and vehicles and parking behaviors can be identified more accurately. The threshold of the trigger signal can be adjusted according to the actual application scenario to wake up the acquisition module only when valid vehicles and valid behaviors are detected, reducing the adverse situation of false triggering.

[0078] Optionally, parallel processing technology and distributed computing architecture can be used to transmit trigger signals, distribute complex computing tasks to multiple processing units, improve the overall processing speed, and reduce the power consumption of a single processing unit, so as to reduce the overall power consumption of the detection module and the acquisition module.

[0079] Step S300: The acquisition module switches from the standby mode to the working mode in response to the trigger signal, acquires the vehicle data in the parking space, and sends the vehicle data to the management terminal.

[0080] Among them, the acquisition module maintains a low-power standby mode when not working. The acquisition module is provided with a camera device which is configured as a low-power standby mode when not triggered. When the detection module determines that there is parking behavior in the parking space after detection, it can send a corresponding trigger signal to the acquisition module in the standby mode to wake up the acquisition module through the trigger signal, so that the acquisition module responds to the trigger signal, switches from the low-power standby mode to the normal working mode, collects data in the parking space, obtains the corresponding vehicle data and sends the vehicle data to the management end for management.

[0081] Optionally, in the parking space management device, all modules and components except the detection module can be set to a low-power standby mode, and switch to a normal working mode when awakened, thereby effectively reducing the power consumption required by each device when managing the parking space. Moreover, taking the acquisition module as an example, after the acquisition module acquires vehicle data and uploads the vehicle to the management end, the acquisition module completes the current acquisition task and can automatically enter a low-power standby mode to wait for the next awakening to reduce power consumption.

[0082] Optionally, in order to realize the corresponding data transmission function, a corresponding wireless communication component can also be set in the acquisition module, and the wireless communication component is connected to the camera device to obtain the vehicle data collected by the camera device, and the wireless communication component is also connected to the external management terminal through Bluetooth, wireless, wired network, etc., to transmit the acquired vehicle data to the management terminal for processing. Under the premise of ensuring the normal performance of each module, low-power components and circuit designs can be used, such as low-power radar sensors in the detection module, low-power camera devices and wireless communication components in the acquisition module, etc., and the power management strategy of the device can also be optimized, such as dynamically adjusting voltage and frequency to reduce unnecessary power consumption. The interface design between radar devices, camera devices and wireless communication components can also be optimized to reduce signal transmission delay and interference. For example, high-speed and stable communication protocols and interface standards, such as USB 3.0, Gigabit Ethernet, etc., can be used to improve data transmission rate and reliability.

[0083] For example, the collected vehicle data may include various types of data such as image information, license plate number, color information, etc. of the vehicle.

[0084] It should be noted that the management end can be set as a server, personal computer (PC), tablet computer, smart phone, personal digital assistant (PDA) and other electronic devices with logical computing functions, which can receive vehicle data and perform corresponding calculation and analysis to manage multiple parking spaces in the parking lot, such as calculating the parking fee of each vehicle, modifying the current status of a parking space, releasing or intercepting each vehicle, etc.

[0085] Optionally, when transmitting the collected vehicle data, the collected vehicle data may be compressed to reduce the amount of data transmission and the power consumption during the data transmission process. At the same time, the data transmission protocol and interface are optimized to improve the data transmission efficiency.

[0086] exist Figure 1 In the illustrated embodiment, the energy consumption required for the detection module to work can be effectively reduced through a low-power timed scanning method, and the energy consumption required for the acquisition module to work can be effectively reduced through the conversion method between a low-power standby mode and a normal working mode, thereby reducing the energy required for parking space management. In addition, data collection can be started only when parking behavior is detected, which effectively improves the recognition efficiency and accuracy when managing vehicles, thereby optimizing the monitoring effect of parking spaces, reducing unfavorable situations such as chaotic parking lot management, and is suitable for a variety of different parking scenarios to enhance the user's parking experience.

[0087] Optionally, see Figure 2 , Figure 2 A detailed flowchart of step S100 is provided in an embodiment of the present application. Step S100 may include steps S110-S130.

[0088] Step S110: Perform object detection on the parking space through the detection module to obtain a target signal.

[0089] When detecting whether there is a parking behavior of a vehicle in a parking space, the detection module may first detect the object in the parking space, and when it is detected that there is a change in the object in the corresponding area, a corresponding target signal is obtained.

[0090] Optionally, the target signal may be corresponding point cloud data, including a large number of laser points, each of which includes its position information in three-dimensional space (such as x, y, z coordinates) and possible additional information such as reflection intensity.

[0091] Step S120: Using the detection module, the type of the object in the parking space is identified based on the target signal to determine whether the object in the parking space is a vehicle.

[0092] The type of the detected object can be identified according to the target signal to determine whether there is an object in the parking space and whether the object in the parking space is a vehicle.

[0093] Optionally, the characteristics of the object can be analyzed according to the target signal. The characteristics of the object can include multiple parameters such as the volume, shape, contour, reflection threshold, etc. of the object. Image processing technology and machine learning algorithms, such as feature extraction and template matching algorithms, object recognition algorithms based on deep learning, etc., can be used to combine the characteristic parameters of multiple objects for analysis to determine whether the object detected in the parking space is a vehicle. The system identifies the object within the monitoring range and determines whether it is a vehicle.

[0094] It should be noted that a corresponding controller may also be provided in the detection module, and the controller may be integrated with the radar device into the same device, or the target signal may be transmitted to the controller of the acquisition module for processing.

[0095] Step S130: If the detection module determines that the object is a vehicle, it determines whether the vehicle has parking behavior based on preset time conditions and movement parameters of the vehicle.

[0096] When it is determined that there is a vehicle in the parking space, an analysis may be performed based on movement parameters related to vehicle movement and corresponding time conditions to determine whether the vehicle in the parking space has corresponding parking behavior.

[0097] It should be noted that parking behavior may include the behavior of a vehicle entering or leaving a parking space. In order to identify whether a vehicle has the action of entering or leaving a parking space, a variety of vehicle movement parameters may be obtained. The movement parameters may include the vehicle's movement trajectory, speed change data, and the distance parameters between the vehicle and the restriction line in the parking space, and other parameters related to the movement and position of the vehicle. The movement purpose and trend of the speed change data vehicle can be determined based on the movement trajectory. The restriction line in the parking space can be the marking line when the parking space is divided. The relative position relationship between the vehicle and the parking space marking line can be determined based on the distance parameter. The time condition may include a set time period, and data collection is performed only within a specific time period to avoid invalid operations during non-peak hours.

[0098] exist Figure 2 In the illustrated embodiment, objects in a parking space can be detected and identified first, and then when a specific vehicle is identified, it is analyzed whether it has parked. This effectively improves the accuracy, effectiveness and real-time performance of detecting whether there is a parking behavior of a vehicle in the parking space.

[0099] Optionally, see Figure 3 , Figure 3 A detailed flowchart of step S110 is provided for an embodiment of the present application. Step S110 may include steps S111-S114.

[0100] Step S111, determining working parameters based on the real-time environment of the parking space through the detection module.

[0101] Among them, in order to improve the accuracy of the target signal obtained when detecting objects in the parking space, before the detection, the appropriate working parameters of the radar device when working in the current environment can be determined according to the real-time environment of the parking space. The working parameters may include: the radar device's transmitting power, receiving frequency, anti-interference ability and other parameters related to the working state of the radar device.

[0102] Optionally, before being put into normal use, the radar device can be trained for anti-interference, so that it can recognize and adapt to different interference environments. During the training process, various interference scenarios can be simulated, such as changing the location, strength, frequency and other parameters of the interference source. Through these simulated scenarios, the system can learn how to distinguish between real signals and interference signals, thereby improving the anti-interference ability. Advanced signal processing algorithms and strategies, such as filtering algorithms, threshold setting, background suppression, etc., can be combined to further improve the anti-interference ability of radar devices in complex environments. To adjust to appropriate working parameters according to the real-time environment of the parking space. By real-time monitoring of interference changes and anti-interference training, the radar device can automatically adjust the working parameters, such as transmission power, receiving sensitivity, etc., under different interference environments, thereby improving the anti-interference ability. The parameter adjustment methods of anti-interference training can include the following aspects: 1. Interference detection and identification: The sensors and signal processing modules in the system can be used to monitor the interference signals in the environment in real time. It is also possible to extract features of the interference signals, such as frequency, amplitude, waveform, etc., in order to identify different types of interference. 2. Parameter adjustment strategy: The working parameters of the laser radar can be dynamically adjusted according to the real-time detection results of interference. In addition, multiple parameters such as transmit power, receive sensitivity, and signal processing algorithms may need to be adjusted in coordination to achieve the best anti-interference effect.

[0103] Optionally, specific parameter adjustment methods may include: A. Transmit power adjustment: When strong interference is detected, the transmit power of the laser radar is increased to improve the signal's penetration and anti-interference ability. However, care should be taken to avoid excessive transmit power that causes energy waste or interference to other devices. The transmission efficiency and anti-interference performance of the signal in a complex environment can also be improved by adjusting parameters such as the shape and width of the transmit waveform. B. Receive sensitivity adjustment: In a weak signal environment, improving the receive sensitivity helps capture more effective signals, but care should be taken to avoid excessive sensitivity that causes excessive noise and interference. A more suitable filter can be designed or selected to filter out noise and interference signals that are not related to the target signal. C. Signal processing algorithm adjustment: According to the characteristics of the interference signal, a suitable filtering algorithm (such as mean filtering, median filtering, Kalman filtering, etc.) is selected to process the received signal to reduce the impact of noise and interference. The threshold setting can also be dynamically adjusted according to changes in signal strength and noise level to improve the accuracy of signal detection and anti-interference ability.

[0104] Step S112: Perform object detection on the current parking space based on the working parameters through the detection module to obtain a first signal.

[0105] The radar device may operate based on the operating parameters, detect objects in the parking space under the current circumstances, and obtain a corresponding first signal.

[0106] Optionally, the first signal is also corresponding point cloud data.

[0107] Step S113: performing interference reduction processing on the first signal through the detection module to obtain a second signal.

[0108] In consideration of the interference situation existing during detection, the first signal may be subjected to interference reduction processing to obtain a second signal less affected by the interference.

[0109] Optionally, interference reduction processing may include filtering, threshold setting and judgment and other processing methods. For example, the following filtering methods may be combined: by setting a sliding window, the data in the window is processed (such as mean, median, etc.). Combined with the Kalman filter algorithm for intensive training, it is used to remove noise and interference components in the signal and retain useful information. The threshold setting and judgment method may include: combining dynamic threshold and statistical threshold setting: dynamic threshold method: dynamically adjust the threshold according to factors such as signal strength and background noise. For example, an adaptive algorithm can be used to adjust the threshold in real time according to the statistical characteristics of the signal. It can better adapt to signal changes under different environmental conditions and improve the accuracy of signal detection. Threshold setting based on statistics: statistical analysis of the signal, such as calculating the mean, variance and other statistical quantities of the signal, and then setting the threshold according to these statistical quantities. It can set the threshold more scientifically to reduce misjudgment and missed judgment. By selecting appropriate filtering methods and threshold setting methods, the influence of interference on the measurement results can be effectively reduced and the reliability of the second signal can be improved.

[0110] Step S114: Compensate the reflectivity of the second signal based on a compensation algorithm through the detection module to obtain a target signal.

[0111] Among them, taking into account the reflection conditions of vehicles of different colors, for example, dark-colored vehicles (such as black vehicles) have lower reflectivity, the reflectivity of the second signal can also be compensated based on the corresponding compensation algorithm to enhance the detection effect of low-reflectivity targets and obtain the final target signal.

[0112] Optionally, the reflectivity can be compensated by a reflectivity compensation algorithm, which is based on the relationship between the target reflectivity and the received signal strength. When the target reflectivity is low, the received signal strength will be weakened accordingly, which may cause the radar device to reduce the ranging accuracy or even fail to detect the target. Therefore, the reflectivity compensation algorithm adjusts the signal processing flow to perform special processing on low-reflectivity targets to restore or enhance the strength of the received signal, thereby improving the detection capability. When performing reflectivity compensation, the gain of the receiving system can be dynamically adjusted to compensate for signal attenuation based on the estimated value or real-time measurement of the target reflectivity through signal enhancement technology, and the received signal can be amplified in the early stage of the signal processing chain to ensure that the signal of the low-reflectivity target can also reach a sufficient processing threshold.

[0113] Optionally, the existing reflectivity compensation algorithm can be optimized, and a mathematical model between the target reflectivity and the received signal strength can be established to predict and compensate for the signal attenuation caused by low-reflectivity targets. Algorithms can also be used to suppress multipath effects (such as ground reflection, wall reflection, vehicle surface reflection, etc.) that may be caused by low-reflectivity targets to improve detection accuracy.

[0114] exist Figure 3 In the illustrated embodiment, suitable working parameters can be selected for detection according to the actual environment of the parking space, and interference reduction processing and reflectivity compensation can be performed on the detected signals, thereby effectively improving the accuracy and effectiveness of the target signal, thereby improving the accuracy of identifying objects in the parking space based on the target signal.

[0115] Optionally, a controller may be provided in the acquisition module, and the controller is connected to the camera device, or the controller and the camera device may be integrated into the same device.

[0116] Optionally, the controller can use a high-performance processor or microcontroller, such as the ARM Cortex-A series or a DSP (digital signal processor) to provide powerful computing power and fast response speed. The controller can use multi-core processors or parallel processing technology to further improve the efficiency of data processing and control operations.

[0117] Optionally, see Figure 4 , Figure 4 A detailed flowchart of step S300 is provided for an embodiment of the present application. Step S300 may include steps S310-S330.

[0118] Step S310, through the controller, based on the received trigger signal, the priority scheduling algorithm and the predictive control algorithm, the camera device is controlled to switch from the standby mode to the working mode.

[0119] Among them, a corresponding controller is provided in the acquisition module, which can receive the trigger signal sent by the detection module, and process it based on the trigger signal, priority scheduling algorithm and predictive control algorithm to control the camera device in standby mode to switch to the corresponding working mode.

[0120] Optionally, a priority scheduling algorithm may be used, such as a static priority scheduling algorithm, which can predetermine the priority of each task before scheduling the task, and then execute the tasks in order of priority, or a dynamic priority scheduling algorithm, which can dynamically adjust the priority of the task according to the execution status of the task and the usage of system resources, or various types of algorithms such as a non-preemptive priority algorithm or a preemptive priority algorithm, to ensure that the control operation of the camera device has the highest priority and responds to the trigger signal as quickly as possible.

[0121] Optionally, the predictive control algorithm can estimate the future output of the process through a predictive model, and calculate the current control input accordingly to achieve automation and optimization control of the controlled object. The predictive control algorithm can include: predictive model, rolling optimization and feedback correction. It is also possible to combine historical data and real-time traffic conditions, use a predictive control algorithm, adjust the state of the camera device in advance, and shorten the switching time of the camera device from standby mode to working mode.

[0122] Step S320: Using the camera device, data of vehicles in the parking space is collected based on a preset trigger event in the working mode to obtain initial data.

[0123] Among them, the camera device can collect data on vehicles in the parking space based on preset trigger events in the working mode to obtain corresponding initial data.

[0124] Among them, the triggering events may include: parking events, entry events, exit events, abnormal events, common events and other different types of events. The initial data may include image data and video data. Different event rules can be set in advance according to different events. The event rules may include the unique event id of each event and the corresponding processing method. When collecting data, the corresponding event id can be determined according to the parking behavior detected to select the corresponding processing method for processing. For example, the processing method of common events can be set to timed recording, which can be all day, a certain time period of the day, etc. It can also be set to start recording immediately. The processing method of parking events, entry events, and exit events can be set to start recording as soon as they are triggered until the event ends. Abnormal events may include abnormal situations such as vehicles parking across spaces, and their processing methods can also be set to start recording as soon as they are triggered until the event ends.

[0125] Step S330: Process the initial data through the controller to obtain vehicle data, and send the vehicle data to the management end.

[0126] Among them, the camera device can transmit the initial data to the controller. Considering that invalid data may exist in the initial data, in order to reduce the volume of data transmission and improve the efficiency of data transmission, the initial data can be processed by the controller to obtain the corresponding vehicle data, and the vehicle data can be sent to the management end for management by the management end.

[0127] Optionally, the controller can perform various processing such as deduplication, correction, and quality assessment on the initial data to obtain vehicle data with higher validity.

[0128] Optionally, the initial data can be processed by the controller, or directly uploaded to the management end for processing. The controller or management end can be selected for processing based on the specific device cost and computing power cost.

[0129] exist Figure 4 In the illustrated embodiment, signal processing and camera device control operations can be completed in a very short time based on trigger signals and multiple algorithms, thereby effectively improving the efficiency of the camera device when switching modes. Furthermore, the camera device can also perform targeted data collection based on a variety of different trigger events, thereby effectively improving the validity of vehicle data.

[0130] Optionally, the vehicle data may include character data related to a license plate of the vehicle, and the character data may be image data of the license plate of the vehicle.

[0131] See also Figure 5 , Figure 5 A detailed flowchart of step S330 is provided for an embodiment of the present application. Step S330 may include steps S331-S333.

[0132] Step S331, classifying and screening the initial data through the controller to obtain vehicle license plate data.

[0133] Among them, since the initial data contains multiple types of images, when the controller performs data processing, the initial data can be classified and screened to obtain vehicle license plate data. For example, it can screen which of the collected images are suitable images of a parked vehicle as the corresponding vehicle license plate data.

[0134] Step S332, performing image recognition on the vehicle license plate data through the controller to obtain target license plate data whose image quality meets preset conditions.

[0135] In order to improve the quality of the data, image recognition may be performed on the vehicle license plate data to perform quality assessment on the image data in the vehicle license plate data, and obtain target license plate data whose image quality meets preset conditions.

[0136] Optionally, the initial data may include a video stream of a road or parking lot that is continuously captured by the camera. The video stream is transmitted to the controller at a certain frame rate (such as 25 frames per second). The controller may use image processing technology and adopt models such as CNN deep separable convolution to speed up target detection, optimize the size of the candidate frame generated by each detection layer according to the geometric features of the license plate, and perform quality assessment on the screened vehicle license plate data. Combined with preset conditions, which may include multiple conditions such as clarity requirements, light requirements or no obstruction requirements, an image with the best image quality (such as the highest clarity, the best lighting conditions, no obstruction, etc.) is selected as the final target license plate data.

[0137] Step S333, through the controller, feature extraction is performed on the target license plate data to obtain character data.

[0138] Among them, considering the complexity and diversity of license plate characters, feature extraction can be performed on the target license plate data to obtain corresponding character data.

[0139] Optionally, in view of the complexity and diversity of license plate characters, the license plate color + character can be deeply convolved to extract feature vectors, and the license plate distortion calibration technology, neural network algorithm and feature recognition algorithm can be combined to perform feature extraction and recognition, to achieve overall integrated recognition without character segmentation, with strong generalization ability and high recognition accuracy, to obtain character data with higher effectiveness.

[0140] exist Figure 5 In the embodiment shown, license plate related data can be processed based on quality assessment, screening and feature extraction, effectively improving the image quality and accuracy of character data, thereby improving the accuracy of subsequent recognition processing of character data, thereby optimizing the management effect based on vehicle data by the management end.

[0141] Optionally, the vehicle data may include action data related to the movement of the vehicle, and the action data may include a result of determining the behavior of the vehicle.

[0142] See also Figure 6 , Figure 6 Another detailed flowchart of step S330 provided in an embodiment of the present application, step S330 may include steps S334-S335.

[0143] Step S334, through the controller, target tracking is performed on the initial data to obtain vehicle characteristic data.

[0144] When the controller performs data processing, target tracking may be performed on the initial data first to determine vehicle characteristic data corresponding to multiple targets.

[0145] Optionally, a multi-target tracking algorithm can be used, such as using Kalman filtering + state transfer matrix to track the number of multiple targets and their motion states or motion tracks. It can also be combined with a ReID (Person Re-identification) network to extract multiple features of the vehicle's roof, windows, rearview mirrors, etc. for matching to obtain multiple vehicle feature data corresponding to the roof, windows, rearview mirrors, etc.

[0146] Step S335, through the controller, the three-dimensional information of the vehicle is determined based on the vehicle characteristic data, and the motion data of the vehicle is determined based on the two-dimensional information and the three-dimensional information in the parking space.

[0147] Among them, the corresponding three-dimensional information can be constructed based on the vehicle feature data, and the two-dimensional information in the parking space and the three-dimensional information of the vehicle can be analyzed to determine the vehicle's motion data.

[0148] Optionally, based on the initial data collected by the camera device, a method based on multi-feature fusion can be used to detect the lane lines in the parking space and delineate the lane line area, so as to manually mark the 2D parking line according to the restriction line on the ground of the parking space, thereby determining the two-dimensional information of the vehicle, and regressing the landing point of the vehicle tires and the ground using the 3D chassis information in the three-dimensional information of the vehicle, and regressing to obtain the mapping of the 3D coordinates on the 2D image, and calculating the driving trajectory of the target vehicle through the multi-target algorithm model, the driving direction and the fusion parking space matching algorithm model, judging the vehicle's entry or exit action process, and obtaining the corresponding action data. This allows complex scenes to still accurately match parking spaces, and finely manage parking spaces, supporting multiple scenarios such as parallel front lighting, oblique lighting, vertical parking, and oblique non-parking.

[0149] exist Figure 6 In the embodiment shown, it is possible to identify various targets on the vehicle based on a target tracking algorithm, and analyze the vehicle's movements in combination with three-dimensional and two-dimensional information processing methods, thereby effectively improving the effectiveness of the motion data, thereby improving the effectiveness of subsequent control of camera devices based on motion data, and thus optimizing the management effect of the management end based on vehicle data.

[0150] Optionally, see Figure 7 , Figure 7 This is a flow chart of another parking space management method provided in an embodiment of the present application. The method may further include steps S410-S430.

[0151] Step S410, obtaining historical parking records of the parking space.

[0152] The radar device is set to a timed scanning working mode to effectively reduce the working time of the radar device, thereby reducing the energy consumption required by the detection module when working. When setting the timed scanning frequency of the radar device, the historical parking records corresponding to the parking space within a period of time can be extracted from the database of the parking lot according to the identity information of the parking space. The historical time can be set according to demand and actual conditions. For example, the historical parking records of the past three months are selected, or if the parking space has been under repair in the past two months, the historical parking records of the past 5-3 months are obtained.

[0153] Step S420: Analyze the historical parking records by time period to determine the parking frequencies in multiple time periods.

[0154] Step S430: determining a timing scanning frequency in each time period based on each parking frequency.

[0155] Optionally, the specific number and length of time periods can be selected and adjusted according to actual conditions. For example, you can choose to divide it equally, for example, every three hours is a time period, or you can choose to divide it by time, for example, one time period during the day and one time period at night. You can also use peak and low peak division, for example, one time period for peak parking and one time period for off-peak parking, etc.

[0156] Among them, the historical parking records of the parking space can be analyzed in different time periods to determine the parking frequencies corresponding to multiple different time periods, and then the timing scanning frequency in each time period can be determined according to the multiple parking frequencies.

[0157] For example, the parking frequency and the timed scanning frequency in each time period are positively correlated. For example, considering that the turnover rate during the day is higher than that at night, the radar trigger frequency during the day (7:00-18:00) can be set to once every 1s, and the radar trigger frequency at night (18:00-7:00) can be set to once every 2s. The specific frequency shall be based on the actual scene debugging, and the specific frequency can also be customized according to the parking frequency.

[0158] exist Figure 7 In the illustrated embodiment, the timed scanning frequency of the radar device can be set in different time periods according to the historical parking frequency of the parking space, so that the timed scanning of the radar device is consistent with the actual working conditions of the parking space, thereby effectively improving the real-time performance of the detection module during detection, and being suitable for a variety of different parking scenarios and parking periods.

[0159] See also Figure 8 , Figure 8 A schematic diagram of the structure of a parking space management device provided in an embodiment of the present application, the parking space management device 500 may include: a detection module 510 and a collection module 520;

[0160] The detection module 510 is connected to the acquisition module 520 to realize the corresponding data transmission function.

[0161] The detection module 510 is used to detect the vehicle situation in the parking space and determine whether there is a parking behavior of the vehicle in the parking space; wherein the detection module 510 is provided with a radar device configured for timed scanning;

[0162] If the detection module 510 determines that there is parking behavior in the parking space, the detection module 510 is also used to send a trigger signal to the acquisition module 520 in the standby mode;

[0163] The acquisition module 520 is used to switch from the standby mode to the working mode in response to the trigger signal, collect the vehicle data in the parking space, and send the vehicle data to the management end; wherein, the acquisition module 520 is provided with a camera device which is configured as a low-power standby mode when not triggered.

[0164] In an optional embodiment, the device may also include: a baffle assembly; a baffle assembly connected to a detection module 510; the detection module 510 is also used to detect distance data between the vehicle and the detection module 510, and compare the distance data with a preset safety distance threshold range; if the detection module 510 determines that the distance data is within the safety distance threshold range, the detection module 510 is also used to control the baffle assembly to lower; if the detection module 510 determines that the distance data is greater than the safety distance threshold range, the detection module 510 is also used to control the baffle assembly to maintain a current state or rise.

[0165] Among them, the baffle assembly is connected to the detection module 510 to realize the restriction and release function of the vehicle in the parking space. The detection module 510 can detect the distance data between the vehicle and itself, and compare the distance data with the preset safety distance threshold range to analyze and determine the distance relationship between the vehicle and the device. When the distance data is within the safety distance threshold range, it indicates that the distance between the vehicle and the device is close but relatively safe. The detection module 510 can control the baffle assembly to be lowered to reduce the collision between the baffle assembly and the vehicle; when the distance data is greater than the safety distance threshold range, it indicates that the distance between the vehicle and the device is far, and the vehicle may be in the state of entering or leaving the parking space. The detection module 510 can control the baffle assembly to maintain the current state or rise, so that the baffle assembly will not hinder the vehicle entering or leaving the parking space. It can detect and analyze the distance between the vehicle and the device, and control the baffle assembly to perform corresponding processing in different situations, and can realize the corresponding parking space restriction function without affecting the vehicle.

[0166] Optionally, the radar device can be set on one side or above the device. The radar device can continuously emit electromagnetic waves and receive reflected signals, and determine the distance data between the vehicle and the device by measuring the propagation time of the electromagnetic waves. The detection module 510 can receive the distance data sent back by the radar device, and determine whether the distance between the vehicle and the device is safe based on a preset safety distance threshold range (such as 5cm to 10cm). If the distance is within the safety threshold range, such as 6cm, the detection module 510 can start the motor or other driving device in the device to control the baffle assembly to slowly lower until it is flush with the ground or slightly above the ground to avoid collision with the vehicle. If the distance is greater than the safety threshold, such as 15cm, the detection module 510 can keep the baffle assembly at the current height or continue to rise to ensure that the device does not hinder vehicles entering or leaving the parking space.

[0167] In an optional embodiment, the baffle assembly may also include: a resistance sensor and a rebound assembly; the resistance sensor is connected to the rebound assembly; the resistance sensor is used to detect the resistance exerted on the rebound assembly, and when the resistance reaches a preset resistance threshold, controls the rebound assembly to rebound.

[0168] The baffle assembly is also provided with a corresponding resistance sensor and a rebound assembly. The resistance sensor can detect the resistance of the rebound assembly, and when the resistance reaches a preset resistance threshold, the rebound assembly is controlled to rebound, so that a certain gap can be formed between the baffle assembly and the vehicle floor, ensuring that the vehicle can pass smoothly without being hindered by the baffle assembly, so that the vehicle will not collide with the baffle assembly when parking or driving away, thereby protecting the vehicle from damage.

[0169] Optionally, the rebound component can be a roller, and the resistance sensor can be a force sensor set on the roller or a mechanical structure. When the roller encounters resistance, the resistance sensor will send a signal to the detection module 510, or the mechanical structure will trigger the rebound mechanism. After receiving the resistance signal, the detection module 510 can control the motor or other drive device to start the rebound mechanism of the roller. Under the action of the rebound force, the roller quickly breaks away from the contact with the vehicle chassis to avoid continuous force. After the roller rebounds, it will reach a preset height, so that a certain gap is formed between the baffle and the chassis. The size of this gap can be adjusted according to the height and demand of the vehicle chassis to ensure that the vehicle can pass smoothly without hindrance. By breaking away from the chassis contact, it can be ensured that the vehicle will not collide with the parking lock baffle when parking or driving away, thereby protecting the vehicle from damage.

[0170] It should be noted that the parking space management device 500 may also include the following multiple devices: a main structure fixed to the roadside ground with pre-buried anchor bolts, a solar panel or battery for providing electric energy, a fill light for data collection, a warning light for prompting the parking space situation, a horn, etc. The interior of the main body is a compartment structure, one part is the mainboard bracket of the controller, and the components on the bracket. The other part is the battery compartment. The cover plate on the top of the main body is fixed with anti-theft screws and buckles, and the mainboard bracket of the controller is below the cover plate. The mainboard bracket is directly stuck in the compartment and can be pulled out as a whole upward. The top of the mainboard bracket is the camera device, which is fixed to the mainboard of the controller by screws. Downward is the radar device and the mainboard are fixedly connected by pins, and then the fill light buckle and screws are fixed. At the bottom is the horn, which has a special waterproof compartment and a wire is reserved for communication with the mainboard.

[0171] Therefore, the parking space management device 500 provided in the present application adopts a low-power design, solar energy + livestock battery power, low-power strategy design, ultra-long battery life, low power consumption to meet long battery life, and thicker solar panels can further increase the battery life. No wiring required, no damage to the road surface. No need to connect to AC power, no wiring required for installation, and easy disassembly and assembly. Easy to maintain: With the help of the management end, field maintenance and upgrades are achieved through Bluetooth, and remote configuration and issuance of remote operation and maintenance functions, OTA upgrades, etc. are supported. Parking space status broadcasts, such as voice broadcasts, light color displays, etc., support radar and camera occlusion reporting functions. Anti-escape: The baffle assembly can adapt to the height of the vehicle chassis and the anti-collision structure can effectively prevent vehicles from escaping fees. Anti-collision and pressure-resistant: The aluminum chassis of the main structure is die-cast in one time, and the baffle assembly can withstand higher pressure.

[0172] Since the principle of solving the problem by the parking space management device 500 in the embodiment of the present application is similar to that of the embodiment of the aforementioned parking space management method, the implementation of the parking space management device 500 in this embodiment can refer to the description in the embodiment of the aforementioned parking space management method, and the repeated parts will not be repeated.

[0173] In several embodiments provided in the present application, it should be understood that the disclosed device can also be implemented in other ways. The device embodiments described above are merely schematic, for example, the block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices according to the multiple embodiments of the present application. In this regard, each box in the block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram, and the combination of the block diagrams, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0174] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0175] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0176] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0177] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

[0178] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

Claims

1. A parking space management method, characterized in that: The method comprises: The detection module detects the vehicle situation in the parking space to determine whether there is a parking behavior of the vehicle in the parking space; wherein the detection module is provided with a radar device configured for timed scanning; If the detection module determines that the parking behavior occurs in the parking space, a trigger signal is sent to the acquisition module in the standby mode through the detection module; By means of the acquisition module, the vehicle data in the parking space is acquired by switching from the standby mode to the working mode in response to the trigger signal, and the vehicle data is sent to the management end; wherein the acquisition module is provided with a camera device configured in a low-power standby mode when not triggered; Wherein, a controller is provided in the acquisition module, and the controller is connected to the camera device; the acquisition module switches from the standby mode to the working mode in response to the trigger signal, acquires the vehicle data in the parking space, and sends the vehicle data to the management end, including: controlling the camera device to switch from the standby mode to the working mode based on the received trigger signal, priority scheduling algorithm and prediction control algorithm through the controller; wherein, the camera device is given the highest priority to respond to the trigger signal by the priority scheduling algorithm, the priority scheduling algorithm includes: a static priority scheduling algorithm and / or a dynamic priority scheduling algorithm; the state of the camera device is adjusted in advance by the predictive control algorithm to shorten the switching time of the camera device from the standby mode to the working mode, the predictive control algorithm includes a predictive model, rolling optimization and feedback correction; the camera device is used to collect data on the vehicle in the parking space based on a preset trigger event in the working mode to obtain initial data; wherein the trigger event includes: at least one of a parking event, an entry event, an exit event, and an abnormal event; the data collection method corresponding to the trigger event includes: presetting different event rules according to different events, the event rules including the unique event id of each event and the corresponding processing method; determining the event id and the corresponding processing method according to the detected parking behavior; wherein the processing method of the parking event, the entry event, the exit event and the abnormal event includes triggering recording until the event ends; the initial data is processed by the controller to obtain the vehicle data, and the vehicle data is sent to the management end.

2. The method according to claim 1, characterized in that The detection module detects the vehicle situation in the parking space to determine whether there is a parking behavior of the vehicle in the parking space, including: By means of the detection module, object detection is performed on the parking space to obtain a target signal; By means of the detection module, the type of the object in the parking space is identified based on the target signal to determine whether the object in the parking space is the vehicle; If the detection module determines that the object is the vehicle, it determines whether the vehicle has parking behavior based on preset time conditions and movement parameters of the vehicle; wherein the movement parameters include at least one of the movement trajectory of the vehicle, speed change data, and distance parameters between the vehicle and the restriction line in the parking space.

3. The method according to claim 2, characterized in that The detecting module detects an object in the parking space to obtain a target signal, including: Determine working parameters based on the real-time environment of the parking space through the detection module; wherein the working parameters include: at least one of the transmitting power, receiving frequency, and anti-interference ability of the radar device; By means of the detection module, object detection is performed on the current parking space based on the working parameters to obtain a first signal; By means of the detection module, interference reduction processing is performed on the first signal to obtain a second signal; The detection module compensates for the reflectivity of the second signal based on a compensation algorithm to obtain the target signal.

4. The method according to claim 1, characterized in that: in, The vehicle data includes character data of the vehicle; The controller processes the initial data to obtain the vehicle data, including: By means of the controller, the initial data is classified and screened to obtain vehicle license plate data; By means of the controller, image recognition is performed on the vehicle license plate data to obtain target license plate data whose image quality meets preset conditions; The controller extracts features from the target license plate data to obtain the character data.

5. The method according to claim 1, characterized in that in, The vehicle data includes motion data of the vehicle; The controller processes the initial data to obtain the vehicle data, including: By means of the controller, target tracking is performed on the initial data to obtain vehicle characteristic data; The controller determines the three-dimensional information of the vehicle based on the vehicle characteristic data, and determines the motion data of the vehicle based on the two-dimensional information in the parking space and the three-dimensional information.

6. The method according to any one of claims 1 to 5, characterized in that in, The timing scanning frequency of the radar device is determined by: Obtaining historical parking records of the parking space; Analyzing the historical parking records by time period to determine parking frequencies in multiple time periods; The timed scanning frequency in each of the time periods is determined based on each of the parking frequencies.

7. A parking space management device, characterized in that: The device comprises: a detection module and a collection module; The detection module is connected to the acquisition module; The detection module is used to detect the vehicle situation in the parking space and determine whether there is a parking behavior of a vehicle in the parking space; wherein the detection module is provided with a radar device configured for timed scanning; If the detection module determines that the parking behavior occurs in the parking space, the detection module is further configured to send a trigger signal to the acquisition module in the standby mode; The acquisition module is used to switch from the standby mode to the working mode in response to the trigger signal, acquire vehicle data in the parking space, and send the vehicle data to the management end; wherein the acquisition module is provided with a camera device configured in a low-power standby mode when not triggered; Wherein, a controller is provided in the acquisition module, and the controller is connected to the camera device; the acquisition module is specifically used to: control the camera device to switch from the standby mode to the working mode based on the received trigger signal, priority scheduling algorithm and prediction control algorithm through the controller; The priority scheduling algorithm is used to make the camera device have the highest priority to respond to the trigger signal, and the priority scheduling algorithm includes: a static priority scheduling algorithm and / or a dynamic priority scheduling algorithm; the state of the camera device is adjusted in advance by the predictive control algorithm to shorten the switching time of the camera device from the standby mode to the working mode, and the predictive control algorithm includes a prediction model, rolling optimization and feedback correction; through the camera device, in the working mode, based on the preset trigger event, data collection is performed on the vehicle in the parking space to obtain initial data; wherein the trigger event includes: at least one of a parking event, an entry event, an exit event, and an abnormal event; the data collection method of the trigger event includes: presetting different event rules according to different events, and the event rules include the unique event id of each event and the corresponding processing method; determining the event id and the corresponding processing method according to the detected parking behavior; wherein the processing method of the parking event, the entry event, the exit event and the abnormal event includes triggering recording until the end of the event; through the controller, the initial data is processed to obtain the vehicle data, and the vehicle data is sent to the management end.

8. The device according to claim 7, characterized in that The device further comprises: a baffle assembly; the baffle assembly is connected to the detection module; The detection module is further used to detect distance data between the vehicle and the detection module, and compare the distance data with a preset safety distance threshold range; If the detection module determines that the distance data is within the safety distance threshold range, the detection module is further configured to control the baffle assembly to be lowered; If the detection module determines that the distance data is greater than the safety distance threshold range, the detection module is further configured to control the baffle assembly to maintain a current state or to rise.

9. The device according to claim 8, characterized in that The baffle assembly includes: a resistance sensor and a rebound assembly; the resistance sensor is connected to the rebound assembly; The resistance sensor is used to detect the resistance applied to the rebound component, and control the rebound component to rebound when the resistance reaches a preset resistance threshold.

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