A smart parking management method and control system

Abstract

The present invention discloses a smart parking management method and control system, which specifically relates to the field of smart parking management, and includes a parking space detection module, a parking space analysis module, a vehicle type analysis module and a guidance unit. The present invention can obtain the facial expression of the driver through an interactive module, and the emotional analysis module can detect whether the driver is in an unstable state, and generate a driving route through a matching guidance module, so that the driver with a stable mood can park more comfortably, and when the emotional analysis module analyzes that the driver is emotionally unstable, the monitoring module controls the parking space monitoring device to monitor the vehicle in real time, and at the same time, the abnormal instruction module matches the row and the nearest vacant parking space through the guidance module to generate a driving route, and the row vacant parking space can be parked more easily, thereby avoiding the driver's emotional instability due to repeated failure to park, and if there is no row vacant parking space, finding the nearest vacant parking space can also relieve the driver's mood.

Description

Technical Field

[0001] The present invention relates to the field of smart parking management, and in particular to a smart parking management method and control system. Background Art

[0002] Smart parking management refers to a system that uses scientific and technological means to effectively manage and optimize the use of parking resources. In the smart parking control system, it is necessary to guide vehicles to enter parking spaces normally. However, for some emotionally unstable people, the existing smart parking management and control systems cannot analyze the driver's emotional state when guiding, which may cause the driver to drive a longer distance and then park in a parking space between two vehicles. If an emotionally unstable driver fails to enter a parking space for many times, it may cause negative emotions to further aggravate, and then there will be safety hazards. Therefore, a smart parking management method and control system are needed to solve the above problems. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings existing in the prior art. For some emotionally unstable people, the existing intelligent parking management and control system cannot analyze the driver's emotional state when guiding, which may cause the driver to drive a longer distance and then park in a parking space between two vehicles. If the emotionally unstable driver fails to enter the parking space for many times, the negative emotions may be further aggravated, thereby posing a safety hazard. A smart parking management method and control system are proposed.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A smart parking management and control system includes a matching unit and a guiding unit, wherein the matching unit includes: a parking space detection module, which is used to obtain the positions of vacant parking spaces and vacant parking spaces; a parking space analysis module, which is electrically connected to the parking space detection module and is used to analyze the type of vehicle suitable for the vacant parking spaces; a vehicle type analysis module, which is electrically connected to the parking space analysis module and is used to analyze the type of vehicle entering; the guiding unit is electrically connected to the vehicle type analysis module and is used to guide the vehicle into the vacant parking space according to the driver's emotions and the vehicle model, wherein when the driver is emotionally stable, the guiding unit matches the vacant parking spaces according to the vehicle model and generates a driving route to the vacant parking spaces closest to the vehicle; when the driver is emotionally unstable, the guiding unit monitors the driver's vehicle, matches the vacant parking spaces according to the vehicle model, generates a driving route to the row of vacant parking spaces and the closest vacant parking spaces, and controls the parking lot indicator lights to prompt the driver according to the driving route.

[0006] In some embodiments, if there are no vacant townhouse parking spaces, the nearest vacant parking space is searched for to generate a driving route, and the parking lot indicator lights are controlled according to the driving route to prompt the driver.

[0007] In some embodiments, the guidance unit includes: an allocation analysis module, which is electrically connected to the vehicle model analysis module, and the allocation analysis module screens and matches vacant parking spaces according to the vehicle model; an interaction module, which is electrically connected to the allocation analysis module, and the interaction module is used to scan the driver's facial expressions and generate expression data; an emotion analysis module, which is electrically connected to the interaction module and is used to judge the driver's expression based on the expression data; a monitoring module, which is electrically connected to the emotion analysis module and is used to monitor the vehicle; a guidance module, which is electrically connected to the emotion analysis module and is used to generate a driving route and guide the vehicle to drive; an abnormal instruction module, which is electrically connected to the monitoring module , and is also electrically connected to the guidance module to generate abnormal instructions; wherein, when the emotion analysis module analyzes that the driver is emotionally stable, the guidance module obtains the nearest vacant parking space to the vehicle and generates a driving route; when the emotion analysis module analyzes that the driver is emotionally unstable, the monitoring module generates a monitoring instruction, and the monitoring device of the parking space monitors the vehicle in real time, the abnormal instruction module generates an abnormal instruction, and the guidance module generates a driving route for the row and the nearest vacant parking space according to the abnormal instruction. If there is no row of vacant parking spaces, the nearest vacant parking space is found to generate a driving route, and the guidance module controls the parking lot indicator light according to the driving route to guide the driver.

[0008] In some embodiments, the guidance module is electrically connected to an intercommunication module for intercommunication with mobile phone data, the intercommunication module is electrically connected to a Beidou positioning module for vehicle positioning and mobile phone positioning, the intercommunication module is electrically connected to a monitoring module for monitoring the vehicle's driving route, the monitoring module is electrically connected to a route generation module for generating a new route and a detection module for detecting whether the vehicle is parked in a parking space, the detection module is electrically connected to an alarm module for alarm, the detection module is electrically connected to an upload module for data uploading, and the route generation module is electrically connected to the guidance module.

[0009] In some embodiments, the intercommunication module is provided with location information by the Beidou positioning module, and the driving route is fed back to the driver's mobile phone navigation. The intercommunication module accurately locates the mobile phone navigation system within 0-1m of the vehicle according to the vehicle positioning system, and uploads the driving route to the driver's mobile phone navigation. If the mobile phone navigation system is not turned on within 0-1m of the vehicle, no data transmission will be performed. The monitoring module monitors whether the vehicle route is deviated. When the vehicle is deviated, the route generation module will generate a new driving route, and the guidance module will control the parking lot indicator light to prompt the driver. The intercommunication module updates the driving route. The detection module detects whether the vehicle is parked in the specified vacant parking space. When the vehicle does not enter the specified vacant parking space, the alarm module will issue a warning. When the vehicle enters the specified vacant parking space, the upload module will upload data to the storage module to update the vacant parking space. At the same time, if there is a vehicle on the parking space, it will also be uploaded to the storage module by the upload module to update the vacant parking space.

[0010] In some embodiments, the vehicle type analysis module is electrically connected to a matching analysis module for matching analysis between vacant parking spaces and vehicle types, and the matching analysis module is electrically connected to a persuasion module for persuading vehicles to leave.

[0011] In some embodiments, the parking space detection module detects and records the available parking spaces and parking space locations in real time;

[0012] The parking space analysis module analyzes the matching vehicle models of the vacant parking spaces. The vehicle model analysis module detects the vehicle model of the incoming vehicle to obtain the specific model of the vehicle. The matching analysis module analyzes whether the vehicle has a matching vacant parking space.

[0013] In some embodiments, when the vacant parking space matches the incoming vehicle, the guidance unit guides the vehicle into the parking space, and when the vacant parking space does not match the incoming vehicle, the persuasion module persuades the vehicle to leave.

[0014] A smart parking management method, comprising:

[0015] 1) The parking space detection module detects the available parking spaces, the parking space analysis module analyzes the vehicle models that can be matched with the available parking spaces, the vehicle analysis module analyzes the vehicle models, and the matching analysis module analyzes whether the vehicle and the available parking spaces correspond to each other;

[0016] 2) When the vacant parking space matches the incoming vehicle, the guidance unit guides the vehicle into the parking space. When the vacant parking space does not match the incoming vehicle, the persuasion module persuades the vehicle to leave.

[0017] 3) The allocation analysis module obtains the available parking spaces that match the moving vehicles, the interaction module obtains the facial expressions of the drivers when they stop at the no-go bar for 1-3 seconds, and the emotion analysis module analyzes whether the driver is in a normal mood based on the data from the big data module;

[0018] 4) When the emotion analysis module analyzes that the driver is emotionally stable, the guidance module obtains the nearest vacant parking space to the vehicle and generates a driving route. When the emotion analysis module analyzes that the driver is emotionally unstable, the module generates a monitoring instruction to monitor the vehicle. At the same time, the abnormal instruction module generates an abnormal instruction, which is received by the guidance module for matching, and obtains the nearest vacant parking space in the row to generate a driving route.

[0019] 5) If there is no vacant row parking space, the guidance module will find the nearest vacant parking space to generate a driving route. At the same time, the guidance module will control the parking lot indicator light to prompt the driver according to the driving route;

[0020] 6) The intercommunication module communicates with the driver’s mobile phone and transmits the driving route to the mobile phone;

[0021] 7) When the monitoring module detects that the vehicle is deviating, the route generation module generates a new route, the guidance module controls the parking lot indicator light to remind the driver, and the intercommunication module updates the route;

[0022] 8) When the detection module detects that the vehicle has not entered the specified vacant parking space, the alarm module will issue a warning. When the detection module detects that the vehicle has entered the specified vacant parking space, the upload module will upload the data to the storage module to update the vacant parking space. At the same time, if there is a vehicle in the parking space, the upload module will also upload it to the storage module to update the vacant parking space.

[0023] The beneficial effects of the present invention are:

[0024] The present invention detects and records the vacant parking spaces and parking space locations in real time through a parking space detection module, thereby being able to obtain the number and locations of all vacant parking spaces, and analyzes the matching vehicle types at the locations of the vacant parking spaces through a parking space analysis module, thereby forming effective statistics on the acquired vacant parking spaces, and better matching can be performed by categorizing them;

[0025] The vehicle type analysis module detects the vehicle type of the incoming vehicle and obtains the specific model of the vehicle, thereby determining the height, width, electricity, gas, oil, etc. of the vehicle, so that when allocating, the electric vehicle can be allocated to a location with a charging pile for charging, thereby increasing the comfort of the user;

[0026] The interactive module can obtain the driver's facial expression, and in front of the no-passing pole, the driver's facial expression can be more clearly recorded during the parking period, so that the emotional analysis module can analyze the driver's facial expression according to the data provided by the big data module, and analyze whether the driver is in an unstable state. When the driver is in an unstable state, it is emotionally unstable. When the driver is not in an unstable state, it is emotionally stable. When the emotional analysis module analyzes that the driver is emotionally stable, the guidance module matches and generates a driving route, so that emotionally stable drivers can park more comfortably. When the emotional analysis module analyzes that the driver is emotionally unstable, the monitoring module controls the parking space monitoring device to monitor the vehicle in real time. At the same time, the abnormal instruction module matches the row and the nearest vacant parking space through the guidance module to generate a driving route, and the row of vacant parking spaces can be parked more easily, thereby avoiding the emotional instability caused by the driver's repeated failure to park;

[0027] If there is no vacant townhouse parking space, the nearest vacant parking space will be found to generate a driving route, so as to ease the driver's emotions as much as possible at a relatively close distance. At the same time, monitoring means can be used to quickly remind the staff to find the driver. The driving route can be fed back to the driver's navigation phone through the intercommunication module, and the driver can drive through the mobile phone navigation. At the same time, the guidance module can control the indicator light to guide the driver, so that the driver can quickly enter the parking space. The monitoring module and the detection module can ensure that the driver enters the parking space accurately. At the same time, cars parked privately in non-parking spaces will also be confirmed by the detection module and uploaded to the storage module for storage through the upload module. The alarm module can change the indicator light at the parking space to remind the driver. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A schematic diagram of a matching unit system flow of a smart parking management method and control system in the present invention;

[0029] Figure 2 It is a schematic diagram of the system flow of a guidance unit of a smart parking management method and control system in the present invention. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0031] like Figure 1 , Figure 2 As shown, a smart parking management and control system includes a matching unit and a guiding unit. The matching unit includes a parking space detection module, a parking space analysis module and a vehicle type analysis module.

[0032] Parking lots can be divided into different areas based on the size and type of vehicles, such as large car area, small car area, electric car area, oil car area, etc. The corresponding parking areas are equipped with parking spaces, charging piles and other equipment of corresponding sizes. The area sizes are divided according to the actual application scenarios and needs, and cameras are set at the regional locations. Cameras and display screens are set at the entrance of the parking lot, and indicator lights are set at 3m intervals on the main roads of the parking lot and at the corners.

[0033] The parking space detection module is used to obtain the area where the local vacant parking spaces are located and the specific location of the vacant parking spaces in the corresponding area. For example, monitoring can be installed around an area of ​​a parking space to obtain parking space image data to ensure that there are no blind spots in the parking space, and through the image recognition method, it is identified whether there are vehicles in the parking space, and the data statistics system is used to count the area and number of parking spaces and record the data.

[0034] The parking space detection module is electrically connected to a storage module for data storage. It should be noted that the algorithms, models, recorded data, analysis results, etc. built into each module in the present application can be stored in the storage module or in its own storage unit.

[0035] The parking space analysis module extracts the detected parking space area and quantity data, and also extracts the image data, and uses the image recognition method to identify the location and size of the parking space and the type of vehicle that the parking space is suitable for, and records them.

[0036] The vehicle model analysis module obtains the vehicle model at the parking lot gate through a camera device, and records and analyzes the specific model of the vehicle entering, and obtains the size, type, etc. of the vehicle. It can be understood that the vehicle model analysis module can have a built-in vehicle recognition model.

[0037] It should be noted that this application does not impose any specific restrictions on the algorithms, models, etc. built into each module / unit. As long as the required functions of the corresponding module can be achieved, this is a commonly used technical means for technical personnel in this field and will not be elaborated here.

[0038] In other examples, the vehicle type analysis module is electrically connected to a matching analysis module for matching analysis between vacant parking spaces and vehicle types, and the matching analysis module is electrically connected to a guidance unit and a persuading module for persuading vehicles to leave.

[0039] The parking space detection module detects and records the available parking spaces and parking space locations in real time, and the parking space analysis module analyzes the vehicle models that match the available parking spaces. The vehicle model analysis module detects the vehicle model of the incoming vehicle and obtains the specific model of the vehicle. The matching analysis module analyzes whether the vehicle has a matching available parking space.

[0040] The matching analysis module retrieves the data from the parking space analysis module and the vehicle type analysis module, matches the vehicles of different vehicle types that drive in with the available parking spaces, and matches the available parking spaces corresponding to the vehicles based on the acquired vehicle models, the recorded available parking spaces, and the vehicle types that the parking spaces are suitable for.

[0041] When there is a parking space that matches the incoming vehicle, the guidance unit guides the vehicle into the corresponding vacant parking space through the display screen according to the matched vacant parking space. When there is no parking space that matches the incoming vehicle, the persuasion module sends a persuasion signal to persuade the incoming vehicle to leave.

[0042] Through the above embodiment, the camera is used as a monitoring means, and the image recorded by the camera is detected by the parking space detection module to detect whether there is a vehicle on the parking space. The image recorded by the camera is recorded and analyzed by the parking space analysis module to determine the area to which the vacant parking space belongs. At the same time, the camera device at the entrance and exit of the parking lot collects the image of the entering vehicle, and the vehicle model is analyzed by the vehicle model analysis module. The parking area is matched according to the vehicle model through the matching analysis module, and then the corresponding vacant parking space is found in the area.

[0043] Among them, the parking space detection module detects and records the vacant parking spaces and parking space locations in real time, and can obtain the number and locations of all vacant parking spaces. The parking space analysis module analyzes the matching vehicle models of the vacant parking spaces, and forms effective statistics on the obtained vacant parking spaces, so that better matching can be performed by classification. The vehicle model analysis module detects the vehicle model of the incoming vehicle to obtain the specific model of the vehicle, and then determines the height, width, electricity, gas, oil, etc. of the vehicle, so that when allocating, the electric vehicle can be allocated to a location with a charging pile for charging, thereby increasing the comfort of the user, and the matching analysis module analyzes whether the vehicle has a matching vacant parking space.

[0044] When the vacant parking space matches the incoming vehicle, the guidance unit guides the vehicle into the parking space. When the vacant parking space does not match the incoming vehicle, the persuasion module persuades the vehicle to leave.

[0045] Among them, when the vacant parking space matches the incoming vehicle, the guidance unit guides the vehicle into the parking space, and then guides the user into the parking space. When the vacant parking space does not match the incoming vehicle, the persuasion module persuades the vehicle to leave, thereby avoiding congestion in the parking lot.

[0046] The guidance unit includes an allocation analysis module for allocating parking spaces, the allocation analysis module is electrically connected to an interaction module for human-computer interaction, the interaction module is electrically connected to a sentiment analysis module for sentiment analysis, the sentiment analysis module is electrically connected to a big data module for data support, the sentiment analysis module is electrically connected to a monitoring module for monitoring vehicles and a guidance module for generating driving routes and guiding vehicle driving, the monitoring module is electrically connected to an abnormal instruction module for generating abnormal instructions, and the abnormal instruction module is electrically connected to the guidance module.

[0047] Furthermore, the allocation analysis module will filter all matching vacant parking spaces according to the vehicle model, while the interaction module will scan the driver's facial expression, and the emotion analysis module will analyze the driver's facial expression. It can be understood that the allocation analysis module and the matching analysis module have the same function. In some instances, only one of the allocation analysis module and the matching analysis module can be retained, or both can be retained. When both are retained, the allocation analysis module verifies the matching result of the matching analysis module.

[0048] Furthermore, when the emotion analysis module analyzes that the driver is emotionally stable, the guidance module will perform further matching, obtain the nearest vacant parking space to the vehicle and generate a driving route. When the emotion analysis module analyzes that the driver is emotionally unstable, the monitoring module will first generate a monitoring instruction, and the monitoring device of the parking space will monitor the vehicle in real time. At the same time, the abnormal instruction module will generate an abnormal instruction. The guidance module will receive the abnormal instruction and perform further matching according to the vehicle model, find the nearest vacant parking space in the row and generate a driving route. If there is no vacant parking space in the row, find the nearest vacant parking space to generate a driving route. The guidance module can control the parking lot indicator light to prompt the driver according to the driving route.

[0049] Exemplarily, the emotion analysis module is provided with a model for facial expression analysis, such as a facial expression recognition model implemented using Pytorch, including common deep learning models such as resnet18, resnet34, resnet50, mobilenet_v2 and googlenet. Some commonly used micro-expression detection algorithms may also be included. It is understandable that when a technician in this field needs to analyze facial expressions, a suitable expression analysis model can be selected. Big data is used to obtain and store the data required by the model in the emotion analysis module. The emotion analysis module divides human facial expressions into various emotions such as calmness, impatience, anxiety, etc. according to the above model.

[0050] Furthermore, the driver's facial expressions can be obtained through the interactive module, and the driver's facial expressions can be recorded more clearly when the driver stops in front of the no-entry pole, so that the emotion analysis module can better analyze the driver's emotions. When the driver is in a negative state such as instability and impatience, he is emotionally unstable, otherwise, he is emotionally stable.

[0051] When the emotion analysis module analyzes that the driver is emotionally stable, the guidance module generates a driving route corresponding to an empty parking space. When the emotion analysis module analyzes that the driver is emotionally unstable, the monitoring module first controls the parking space monitoring device to monitor the vehicle in real time, and the abnormal instruction module issues an abnormal instruction. The guidance module matches the nearest empty parking space in the townhouse according to the abnormal instruction and generates a driving route. The empty parking spaces in the townhouse make it easier to park, thereby avoiding the driver's emotional instability due to repeated failures to park. If there are no empty parking spaces in the townhouse, the nearest empty parking space is found to generate a driving route, so as to ease the driver's emotions as much as possible at a closer distance. At the same time, the monitoring method can quickly remind the staff to pay attention to the driver.

[0052] Exemplarily, a spare parking space is provided in the parking lot, and the spare parking space is usually not used. The emotion analysis module generates a first strategy, a second strategy, and a third strategy according to the emotion of the driver.

[0053] When the driver is in a stable mood, the emotion analysis module generates a first strategy. The first strategy includes the guidance module generating a driving route corresponding to an empty parking space, which may be the closest to the entrance.

[0054] When the driver is emotionally unstable and impatient, the emotion analysis module generates a second strategy. The second strategy includes controlling the parking space monitoring device to monitor the vehicle in real time through the monitoring module, and the abnormal instruction module issues an abnormal instruction. The guidance module matches the nearest row of vacant parking spaces according to the abnormal instruction and generates a driving route.

[0055] When the driver is emotionally unstable and anxious, the emotion analysis module generates a third strategy. The third strategy includes generating a driving route for a spare parking space through the guidance module.

[0056] Through the above embodiment, the facial expression of the driver is recorded by the camera at the entrance of the parking lot, and the no-go pole is used as an aid. In the process of the no-go pole blocking the vehicle from driving, the facial expression of the driver is transmitted to the emotion analysis module through the interaction module, and the facial expression of the driver is identified through the relevant data stored in the big data module. Facial expressions such as but not limited to frowning, sharp eyes, closed or twisted corners of the mouth, clenched teeth, etc. can be used as a judgment method to analyze whether the driver's emotions are stable and whether the driver's facial expression corresponds to it. When an unstable driver enters the parking lot, he will be monitored by the camera in each area, and the guidance module controls the indicator light prompts in the parking lot. At the same time, the parking lot indicator light selects different colors and heights for vehicles entering at different times to guide. The parking lot entrance display screen reminds the driver which color to follow. The color can be selected as red, orange, red, green, cyan, blue, purple, etc. as a guide.

[0057] Furthermore, the guidance module can be electrically connected to an intercommunication module for intercommunication with mobile phone data, the intercommunication module is electrically connected to a Beidou positioning module for mobile phone positioning, the intercommunication module is electrically connected to a monitoring module for monitoring the vehicle's driving route, the monitoring module is electrically connected to a route generation module for generating a new route and a detection module for detecting whether the vehicle is parked in a parking space, the detection module is electrically connected to an alarm module for alarm, the detection module is electrically connected to an upload module for completion, and the route generation module is electrically connected to the guidance module.

[0058] The intercommunication module obtains the driving route of the parking space according to the location information provided by the Beidou positioning module. The intercommunication module can communicate with the mobile phone of the corresponding vehicle, such as wirelessly connecting, and send the driving route to the mobile phone.

[0059] Exemplarily, the intercommunication module determines the distance between the mobile phone and the intercommunication module based on the wireless signals sent by the mobile phone, including but not limited to Bluetooth signals. The intercommunication module can be installed at the no-go pole. When the vehicle is at the no-go pole, it is closest to the intercommunication module. The intercommunication module connects with the mobile phone closest to it and sends the driving route, the route in the parking lot, and the parking space situation to the corresponding mobile phone. The intercommunication module can assign an IP address to each mobile phone and maintain the communication connection with the corresponding mobile phone until the parking action is completed.

[0060] The monitoring module monitors whether the vehicle route is deviated. When the vehicle deviates, the route generation module generates a new route and updates the route through the intercommunication module. The guidance module controls the parking lot indicator light to prompt the driver.

[0061] The detection module will detect whether the vehicle is parked in the specified vacant parking space. When the vehicle does not enter the specified vacant parking space, the alarm module will issue a warning. When the vehicle enters the specified vacant parking space, the upload module will end the service and upload the data to the storage module to update the vacant parking space.

[0062] Among them, the intercommunication module can feed back the driving route to the driver's mobile phone, and the driver can drive through the mobile phone navigation. At the same time, the guidance module can control the indicator light to guide the driver, so that the driver can quickly enter the parking space. The monitoring module and the detection module can ensure that the driver accurately enters the parking space. At the same time, the car parked privately in the non-parking space will also be confirmed by the detection module and uploaded to the storage module for storage through the upload module. The alarm module can change the indicator light at the parking space to remind the driver;

[0063] A smart parking management method, the specific operation includes the following steps:

[0064] 1) The parking space detection module detects the available parking spaces, the parking space analysis module analyzes the vehicle models that can be matched with the available parking spaces, the vehicle analysis module analyzes the vehicle models, and the matching analysis module analyzes whether the vehicle and the available parking spaces correspond to each other;

[0065] 2) When the vacant parking space matches the incoming vehicle, the guidance unit guides the vehicle into the parking space. When the vacant parking space does not match the incoming vehicle, the persuasion module persuades the vehicle to leave.

[0066] 3) The allocation analysis module obtains the available parking spaces that can match the moving vehicles, the interaction module obtains the facial expressions of the drivers when they stop at the no-go bar for 3 seconds, and the emotion analysis module analyzes whether the driver is in a normal mood based on the data from the big data module;

[0067] 4) When the emotion analysis module analyzes that the driver is emotionally stable, the guidance module obtains the nearest vacant parking space to the vehicle and generates a driving route. When the emotion analysis module analyzes that the driver is emotionally unstable, the module generates a monitoring instruction to monitor the vehicle. At the same time, the abnormal instruction module generates an abnormal instruction, which is received by the guidance module for matching, and obtains the nearest vacant parking space in the row to generate a driving route.

[0068] 5) If there is no vacant row parking space, the guidance module will find the nearest vacant parking space to generate a driving route. At the same time, the guidance module will control the parking lot indicator light to prompt the driver according to the driving route;

[0069] 6) The intercommunication module communicates with the mobile phone in the vehicle and sends the driving route to the mobile phone;

[0070] 7) When the monitoring module detects that the vehicle is deviating, the route generation module generates a new route, the guidance module controls the parking lot indicator light to remind the driver, and the intercommunication module updates the route;

[0071] 8) When the detection module detects that the vehicle has not entered the specified vacant parking space, the alarm module issues a warning. When the detection module detects that the vehicle has entered the specified vacant parking space, the upload module ends the service and uploads the data to the storage module to update the vacant parking space.

[0072] Working principle:

[0073] The parking space detection module obtains the available parking spaces through the camera, the parking space analysis module analyzes the area to which the available parking spaces belong, the vehicle model analysis module obtains the vehicle image through the camera device and analyzes the vehicle model, and when the matching analysis module analyzes the available parking spaces and the vehicle is not compatible based on the vehicle model, the dissuasion module will display the available parking spaces as zero through the parking lot entrance display screen.

[0074] When there are no vacant parking spaces in the parking lot, the driver drives to the entrance of the parking lot, and leaves on his own if there are any remaining spaces. The driver enters the parking lot.

[0075] When entering the parking lot, the interactive module records the driver's facial expression through the camera at the entrance of the parking lot and sends the video data to the emotion analysis module. The emotion analysis module analyzes the driver's facial expression through the data provided by the big data module. If the driver is emotionally unstable, the monitoring module controls the surveillance camera inside the parking lot for monitoring, and issues abnormal instructions through the abnormal instruction module. The guidance module will select the row of vacant parking spaces provided by the allocation analysis module as the main parking space according to the abnormal instructions. If there are more than two row of vacant parking spaces, the parking space closest to the parking lot entrance and one parking space away from the vehicle in the parking space is selected as the parking space for this service. If there are only two row of vacant parking spaces, the parking space closest to the parking space entrance is selected as the parking space for this service. If there are no row of parking spaces, the parking space closest to the parking space entrance is selected as the parking space for this service. At the same time, the guidance module formulates a driving route according to the selected vacant parking spaces and the vehicle position, and controls the on and off and color of the parking lot LED indicator to guide the vehicle.

[0076] When there are vacant parking spaces in the parking lot, the display screen at the parking lot entrance will show the driving route, sign color, and parking space number. At the same time, the no-entry barrier will be raised, and the driver will enter the parking lot and drive according to the information displayed on the display screen.

[0077] The intercommunication module will use the parking lot entrance as a reference for positioning. That is, when the vehicle selects the parking lot entrance and arrives at the no-entry pole position, the intercommunication module will communicate with the vehicle navigation device (mobile phone) and transmit the parking route set by the guidance module to the vehicle navigation device.

[0078] The monitoring module uses cameras in the parking lot to monitor the vehicle's driving route. If the monitoring module detects that the vehicle is deviating, the route generation module generates a new driving route, the guidance module controls the parking lot indicator light to prompt the driver, and the intercommunication module updates the driving route.

[0079] When the driver deviates from the driving route, the driver can see the indicator light or arrow on the main road and change direction. The driver can also reach the vacant parking space by following the indicator light arrow.

[0080] When the detection module detects that the vehicle has not entered the specified vacant parking space, the alarm module will issue a warning. When the detection module detects that the vehicle has entered the specified vacant parking space, the upload module will end the service and upload the data to the storage module to update the vacant parking space.

[0081] When the driver arrives at the set parking space range, the set parking space will light up a green light to guide the driver into the parking space. If the driver parks the vehicle in other vacant parking spaces, other vacant parking spaces will light up a red light to remind the driver. If the parking space is not changed for a long time, a staff member will remind the driver to change the parking space. If the driver parks the vehicle in the set vacant parking space, the green light will be turned off.

[0082] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A smart parking management and control system, characterized in that: The invention comprises a matching unit and a guiding unit, wherein the matching unit comprises: The parking space detection module is used to obtain the available parking spaces and the locations of the available parking spaces; A parking space analysis module, which is electrically connected to the parking space detection module and is used to analyze the type of vehicle that the vacant parking space is suitable for; A vehicle type analysis module, the vehicle type analysis module is electrically connected to the parking space analysis module and is used to analyze the model of an incoming vehicle; The guiding unit is electrically connected to the vehicle type analysis module and is used to guide the vehicle into an empty parking space according to the driver's mood and the vehicle model; Among them, when the driver is emotionally stable, the guidance unit matches the available parking spaces according to the vehicle model and generates a driving route to the available parking spaces closest to the vehicle; when the driver is emotionally unstable, the guidance unit monitors the driver's vehicle, matches the available parking spaces according to the vehicle model, generates a driving route to the row of available parking spaces closest to the vehicle, and controls the parking lot indicator lights to prompt the driver according to the driving route; If there is no vacant row parking space, the nearest vacant parking space will be found to generate a driving route, and the parking lot indicator lights will be controlled according to the driving route to remind the driver; The guiding unit comprises: An allocation analysis module, electrically connected to the vehicle model analysis module, and the allocation analysis module screens and matches available parking spaces according to vehicle models; An interaction module, electrically connected to the allocation analysis module, and configured to scan the driver's facial expression and generate expression data; An emotion analysis module, electrically connected to the interaction module, for determining the driver's expression based on the expression data; A monitoring module, electrically connected to the emotion analysis module, for monitoring the vehicle; A guidance module, electrically connected to the emotion analysis module, for generating a driving route and guiding the vehicle to travel; an abnormal instruction module, electrically connected to the monitoring module and also electrically connected to the guiding module, and used for generating abnormal instructions; Among them, there are spare parking spaces in the parking lot, and the emotion analysis module generates the first strategy, the second strategy and the third strategy according to the driver's emotions; When the driver is emotionally stable, the emotion analysis module generates the first strategy, which includes the guidance module generating a driving route corresponding to an empty parking space, which includes a parking space closest to an entrance; When the driver is emotionally unstable and impatient, the emotion analysis module generates the second strategy, which includes controlling the parking space monitoring device to monitor the vehicle in real time through the monitoring module, and the abnormal instruction module issues an abnormal instruction, and the guidance module matches the row and nearest vacant parking space according to the abnormal instruction and generates a driving route; When the driver is emotionally unstable and anxious, the emotion analysis module generates a third strategy, and the third strategy includes generating a driving route to a spare parking space through a guidance module.

2. According to claim 1, a smart parking management control system is characterized in that: The guidance module is electrically connected to an intercommunication module for intercommunication with mobile phone data, the intercommunication module is electrically connected to a Beidou positioning module for vehicle positioning and mobile phone positioning, the intercommunication module is electrically connected to a monitoring module for monitoring the vehicle's driving route, the monitoring module is electrically connected to a route generation module for generating a new route and a detection module for detecting whether the vehicle is parked in a parking space, the detection module is electrically connected to an alarm module for alarm, the detection module is electrically connected to an upload module for data uploading, and the route generation module is electrically connected to the guidance module.

3. The intelligent parking management control system according to claim 2 is characterized in that: The intercommunication module is provided with location information by the Beidou positioning module, and the driving route is fed back to the driver's mobile phone navigation. The intercommunication module accurately locates the mobile phone navigation system within 0-1m of the vehicle according to the vehicle positioning system, and uploads the driving route to the driver's mobile phone navigation. If the mobile phone navigation system is not turned on within 0-1m of the vehicle, no data transmission will be performed. The monitoring module monitors whether the vehicle route is deviated. When the vehicle is deviated, the route generation module will generate a new driving route, and the guidance module will control the parking lot indicator light to prompt the driver. The intercommunication module updates the driving route. The detection module detects whether the vehicle is parked in the specified vacant parking space. When the vehicle does not enter the specified vacant parking space, the alarm module will issue a warning. When the vehicle enters the specified vacant parking space, the upload module will upload data to the storage module to update the vacant parking space. At the same time, if there is a vehicle on the parking space, it will also be uploaded to the storage module by the upload module to update the vacant parking space.

4. The intelligent parking management control system according to claim 1, characterized in that: The vehicle type analysis module is electrically connected to a matching analysis module for matching analysis between vacant parking spaces and vehicle types, and the matching analysis module is electrically connected to a persuading module for persuading vehicles to leave.

5. The intelligent parking management control system according to claim 4 is characterized in that: The parking space detection module detects and records the available parking spaces and parking space locations in real time; The parking space analysis module analyzes the matching vehicle models of the vacant parking spaces. The vehicle model analysis module detects the vehicle model of the incoming vehicle to obtain the specific model of the vehicle. The matching analysis module analyzes whether the vehicle has a matching vacant parking space.

6. The intelligent parking management control system according to claim 5, characterized in that: When the vacant parking space matches the incoming vehicle, the guiding unit guides the vehicle to enter the parking space, and when the vacant parking space does not match the incoming vehicle, the persuading module persuades the vehicle to leave.

7. A smart parking management method, characterized in that: Applied to the control system according to any one of claims 1 to 6, the method comprises: 1) The parking space detection module detects the available parking spaces, the parking space analysis module analyzes the vehicle models that can be matched with the available parking spaces, the vehicle analysis module analyzes the vehicle models, and the matching analysis module analyzes whether the vehicle and the available parking spaces correspond to each other; 2) When the vacant parking space matches the incoming vehicle, the guidance unit guides the vehicle into the parking space. When the vacant parking space does not match the incoming vehicle, the persuasion module persuades the vehicle to leave. 3) The allocation analysis module obtains the available parking spaces that match the moving vehicles, the interaction module obtains the facial expressions of the drivers when they stop at the no-go bar for 1-3 seconds, and the emotion analysis module analyzes whether the driver is in a normal mood based on the data from the big data module; 4) When the emotion analysis module analyzes that the driver is emotionally stable, the guidance module obtains the nearest vacant parking space to the vehicle and generates a driving route. When the emotion analysis module analyzes that the driver is emotionally unstable, the module generates a monitoring instruction to monitor the vehicle. At the same time, the abnormal instruction module generates an abnormal instruction, which is received by the guidance module for matching, and obtains the nearest vacant parking space in the row to generate a driving route. 5) If there is no vacant row parking space, the guidance module will find the nearest vacant parking space to generate a driving route. At the same time, the guidance module will control the parking lot indicator light to prompt the driver according to the driving route; 6) The intercommunication module communicates with the driver’s mobile phone and transmits the driving route to the mobile phone; 7) When the monitoring module detects that the vehicle is deviating, the route generation module generates a new route, the guidance module controls the parking lot indicator light to remind the driver, and the intercommunication module updates the route; 8) When the detection module detects that the vehicle has not entered the specified vacant parking space, the alarm module will issue a warning. When the detection module detects that the vehicle has entered the specified vacant parking space, the upload module will upload the data to the storage module to update the vacant parking space. At the same time, if there is a vehicle in the parking space, the upload module will also upload it to the storage module to update the vacant parking space.

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