Parking system based on parking resource sharing reservation management and guiding device thereof

Abstract

The invention discloses a parking system based on parking resource sharing reservation management and a guiding device thereof, and relates to the technical field of parking systems. The central processing system is responsible for summarizing, analyzing and processing data; the functions of parking space state monitoring, reservation management, charging management and the like are included; the data acquisition module is used for acquiring the use condition of the parking space of the parking lot in real time through equipment such as a sensor and a camera and transmitting data to the central processing system; according to the user interaction terminal, a user can check the parking space information in real time and make an appointment through a mobile phone APP, a website or a vehicle-mounted system and the like. Parking resources are dynamically allocated and optimized through the genetic algorithm and the simulated annealing algorithm, the parking space utilization rate of the parking lot can be remarkably improved, and the time for a user to find a parking space is shortened; the parking demand and behavior mode of the user are predicted by using a machine learning algorithm, personalized parking suggestions and services are provided for the user, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of parking systems, and in particular to a parking system based on parking resource sharing reservation management and a guiding device thereof. Background Art

[0002] With the acceleration of urbanization and the continuous increase in the number of cars, urban traffic congestion and parking difficulties are becoming increasingly prominent. The current parking lot management mainly has the following problems:

[0003] ① It is difficult for car owners to obtain real-time information about available parking spaces nearby, resulting in a lot of time wasted in looking for parking spaces;

[0004] ② The current systems are mostly for internal management of a single parking lot, lacking unified cross-regional and cross-platform reservation management;

[0005] ③ Traditional parking lots rely on manual management, which has the problem of high cost and low efficiency. Especially during peak hours, entrances and exits are prone to congestion.

[0006] After searching, the application scheme of Chinese patent application number CN201620737823.7 discloses a smart city parking system, including a cloud management platform, a smart parking system, a mobile terminal and a sensor system. The smart parking system is electrically connected to the cloud management platform, and the smart parking system is wirelessly connected to the mobile terminal and the sensor system respectively. The mobile terminal is provided with an APP, and the APP matches the smart parking system. The sensor system includes a license plate recognition device, the smart parking system includes a PLC, and the smart parking system includes a payment system. The parking system in the above literature has the following shortcomings: it cannot dynamically allocate and optimize parking spaces well, and needs to be improved. Summary of the invention

[0007] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a parking system based on parking resource sharing reservation management and a guiding device thereof.

[0008] In order to achieve the above object, the present invention adopts the following technical solutions:

[0009] A parking system based on parking resource sharing reservation management, comprising:

[0010] Central processing system: responsible for data aggregation, analysis and processing; including parking space status monitoring, reservation management, and billing management functions;

[0011] Data collection module: collects the usage of parking spaces in real time through sensors and camera equipment, and transmits the data to the central processing system;

[0012] User interaction terminal: Through mobile APP, website or in-vehicle system, users can view parking space information in real time and make reservations; the system supports multiple payment methods and has security functions;

[0013] Security monitoring module: including video monitoring system and access control system to ensure the safety of parking process and data privacy protection;

[0014] Parking space dynamic allocation and optimization module: Based on genetic algorithm or simulated annealing algorithm, parking resources are dynamically allocated and optimized; by real-time analysis of parking lot usage and user needs, the central processing system automatically adjusts the parking space allocation strategy to maximize parking space utilization and reduce user waiting time;

[0015] User behavior prediction and recommendation module: Use machine learning algorithms to predict and recommend user behavior; through the analysis of historical data, the central processing system predicts the user's parking needs and behavior patterns, and provides users with personalized parking suggestions and services.

[0016] As a preferred embodiment of the present invention, the parking space dynamic allocation and optimization module performs optimization processing based on a genetic algorithm, specifically comprising the following steps:

[0017] S1: Initialize the population: randomly generate a set of candidate solutions, each individual represents a solution;

[0018] S2: Fitness evaluation: calculate the utilization efficiency of each individual parking space;

[0019] S3: selection operation: selecting a more efficient parking resource allocation scheme or strategy according to utilization efficiency as a new allocation scheme or strategy after optimization iteration;

[0020] S4: Crossover operation: generating a new parking allocation plan or strategy by exchanging some usage rules or parameter settings of the new allocation plans or strategies obtained in S3;

[0021] S5: mutation operation: randomly changing the usage rules or parameter settings of certain parking allocation schemes or strategies, and increasing the number of parking allocation schemes or strategies;

[0022] S6: New generation population: merge the newly generated parking allocation plan or strategy with the new allocation plan or strategy obtained in S3 to form a new population;

[0023] S7: Termination condition: repeat the above process until the preset stop condition is met;

[0024] The basic formula is:

[0025]

[0026] Among them, f(x) is the fitness function, P i is the probability that the ith individual is selected, and N is the population size.

[0027] As a preferred embodiment of the present invention, the parking space dynamic allocation and optimization module performs parking space allocation based on a genetic algorithm, specifically comprising the following steps:

[0028] S1: Initial solution: randomly generate an initial parking space allocation plan x0;

[0029] S2: Adjust parameters: set the initial temperature T0 and the cooling rate a to adjust the flexibility or sensitivity of the model;

[0030] S3: Neighborhood search: randomly select a new solution in the neighborhood of the current solution;

[0031] S4: Acceptance criterion: If the new solution is better than the current solution, then accept the new solution; otherwise, accept the new solution with probability e -ΔE / T Accept the new solution, where -ΔE is the cost difference between the new and old solutions;

[0032] S5: Cooling: Lower the temperature T, T = T n *a, where n is the number of cooling times. As the temperature decreases, the algorithm tends to accept better solutions more and more.

[0033] S6: Termination condition: Repeat the above process until the preset stop condition is reached.

[0034] As a preferred embodiment of the present invention: the user behavior prediction and recommendation module predicts the user's parking demand and behavior pattern through an artificial neural network, and the feedforward neural network structure includes:

[0035] Input layer: receives external input data; including historical parking data, timestamps, and weather conditions information;

[0036] Hidden layer: transforms input signals through activation functions; helps the network learn the complex mapping relationship from input data to output results;

[0037] Output layer: Generates the final output result; when providing personalized parking suggestions and services in the parking lot, it specifically includes the recommended parking space number and the estimated parking time.

[0038] As a preferred embodiment of the present invention: in the artificial neural network:

[0039] When propagating forward: calculate the output value of each layer, a (l) =g(W (l) a (l-1) +b (l) ) Among them, a (l) represents the activation value of the lth layer, W (l)is the weight matrix, b (l) is the bias term, g is the activation function;

[0040] Loss function L: measures the gap between the predicted value and the true value; Among them, y i is the actual value, is the predicted value, m is the number of samples;

[0041] During back propagation: adjust weights and biases according to the gradient descent method; These gradients are then used to update the weights and biases.

[0042] As a preferred embodiment of the present invention, the user behavior prediction and recommendation module recognizes the user's parking preference and behavior pattern through a support vector machine, thereby achieving more accurate service positioning and management decision optimization, specifically including:

[0043] ①Objective function: maximize the margin while minimizing the classification error rate; subject toys i (w T x i +b)≥1, i=1,…,N, where w is the normal vector and b is the intercept;

[0044] ②Lagrange multiplier method: Introduce Lagrange multipliers to solve optimization problems under constraints; Among them, a i ≥0 is the Lagrange multiplier. By solving this optimization problem, the optimal weight vector and bias term are obtained.

[0045] As a preferred embodiment of the present invention, the guiding device of the parking system comprises:

[0046] A display frame, a first mounting frame for fixing the display frame is arranged on the side of the display frame, a display screen is mounted on the display frame, and a camera for identifying a license plate number is mounted at the bottom of the display frame;

[0047] A support frame, which is arranged on the back side of the display frame, and a connecting frame is rotatably installed at the bottom end of the support frame;

[0048] A mounting platform, one end of which is fixed on the connecting frame;

[0049] A mounting rod, the mounting rod is mounted on the outside of the mounting platform, and a flexible sleeve is mounted on the outside of the mounting rod;

[0050] The retractable drive mechanism is used to retract or lower the mounting platform.

[0051] As a preferred embodiment of the present invention: the retractable driving mechanism comprises:

[0052] A reel frame, on which a reel is rotatably mounted via an axis;

[0053] The winding drive motor is installed on the outer wall of one side of the winding wheel frame, and the output end of the winding drive motor is connected to the shaft of the winding wheel;

[0054] A connecting rope, one end of which is mounted on the reel, and the other end of which is connected to an end of the mounting platform away from the connecting frame.

[0055] As a preferred embodiment of the present invention, a plurality of liquid delivery pipes are installed inside the mounting platform, the top of the liquid delivery pipe is connected to the cleaning liquid supply system through a spray hole, a rotating seat is provided at the bottom of the liquid delivery pipe, a first nozzle or a second nozzle is installed on one side of the rotating seat, the first nozzle is located in the middle of the mounting platform, and the second nozzle is located on both sides of the first nozzle, and the first nozzle and the second nozzle are respectively rotated on their respective liquid delivery pipes through their respective rotating seat seals;

[0056] The bottom of the first nozzle and the second nozzle are both provided with a plurality of nozzles, and the nozzles are provided with a plurality of spray holes; the nozzles are connected to the mounting platform via an annular connecting membrane; the first nozzle realizes angle deflection through the control of an angle adjustment mechanism.

[0057] As a preferred embodiment of the present invention: the angle adjustment mechanism includes:

[0058] A carrier plate, a mounting cavity is provided on the parking space, the carrier plate is movably installed in the mounting cavity through a supporting spring, a wheel block is provided on the parking space, and the carrier plate is located in front of the wheel block; a collecting trough is provided on the parking space, and a leaking plate with leaking holes is installed on the top of the collecting trough;

[0059] A main airbag, which is installed in the installation cavity. The main airbag is connected to a connecting seat through a first connecting pipe. The bottom of the connecting seat is connected to an airbag seat through a second connecting pipe. The airbag seat is installed in the installation platform. A columnar airbag is arranged at the bottom of the airbag seat.

[0060] A side plate is installed on one side of the second nozzle close to the first nozzle, and the side plate is fixed to the bottom of the columnar airbag.

[0061] The beneficial effects of the present invention are:

[0062] 1. The present invention dynamically allocates and optimizes parking resources through genetic algorithms and simulated annealing algorithms, which can significantly improve the utilization rate of parking spaces in parking lots and reduce the time users spend looking for parking spaces. It also uses machine learning algorithms to predict users' parking needs and behavior patterns, provide users with personalized parking suggestions and services, and improve user experience.

[0063] 2. The present invention can display parking space information on the display screen on the display screen by setting up structures such as a display frame and a mounting platform to guide the driver to find the corresponding parking space. The camera collects the license plate number information of the vehicle. If it matches the current parking space, the mounting platform is folded up through the retractable driving mechanism, thereby removing the blocking effect and facilitating the vehicle to enter.

[0064] 3. The present invention provides a first nozzle, a second nozzle and other structures, and can supply liquid to the first nozzle and the second nozzle based on a cleaning liquid supply system, thereby cleaning the vehicle body through the nozzle, thereby improving practicality.

[0065] 4. The present invention provides an angle adjustment mechanism, which can press the main airbag downward to a certain extent based on the gravity of the vehicle body itself, so that the gas is filled into the columnar airbag and other parts. The columnar airbag expands and squeezes the side panel, thereby driving the second nozzle to deflect outward; since the inflation action is driven by the gravity of the vehicle, the heavier the weight, the greater the final deformation of the columnar airbag, and the greater the deflection angle of the second nozzle. Heavier vehicles are usually larger in size. Therefore, a larger deflection angle can more comprehensively flush the vehicle body, thereby improving reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A schematic diagram of the structure of a guidance device of a parking system based on parking resource sharing reservation management proposed by the present invention;

[0067] Figure 2 This is a structural schematic diagram of a mounting platform in an erected state of a guiding device of a parking system based on parking resource sharing reservation management proposed by the present invention;

[0068] Figure 3 For the present invention Figure 2 The enlarged view of point A in the middle;

[0069] Figure 4 This is a structural schematic diagram of a mounting rod and a flexible sleeve of a guiding device of a parking system based on parking resource sharing reservation management proposed by the present invention;

[0070] Figure 5 This is a structural schematic diagram of the inner side of an installation platform of a guiding device of a parking system based on parking resource sharing reservation management proposed by the present invention.

[0071] In the figure: 1 display frame, 2 first mounting frame, 3 leakage hole, 4 carrier plate, 5 leakage plate, 6 wheel block, 7 first connecting pipe, 8 winding drive motor, 9 reel frame, 10 mounting platform, 11 connecting seat, 12 flexible sleeve, 13 reel, 14 connecting rope, 15 support frame, 16 connecting frame, 17 nozzle, 18 mounting rod, 19 nozzle hole, 20 second nozzle, 21 second connecting pipe, 22 side plate, 23 first nozzle, 24 annular connecting membrane, 25 columnar airbag, 26 airbag seat, 27 rotating seat. DETAILED DESCRIPTION

[0072] The technical solution of the present invention is further described in detail below in conjunction with specific implementation methods.

[0073] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0074] Embodiment 1:

[0075] A parking system based on parking resource sharing reservation management, such as Figure 1-5 As shown, including:

[0076] Central processing system: responsible for data aggregation, analysis and processing; including parking space status monitoring, reservation management, billing management and other functions;

[0077] Data collection module: collects the usage of parking spaces in real time through sensors, cameras and other equipment, and transmits the data to the central processing system;

[0078] User interaction terminal: Users can view parking information in real time and make reservations through mobile APP, website or in-vehicle system; the system supports multiple payment methods and has security functions;

[0079] Security monitoring module: including video monitoring system and access control system to ensure the safety of parking process and data privacy protection;

[0080] Parking space dynamic allocation and optimization module: Based on genetic algorithm or simulated annealing algorithm, parking resources are dynamically allocated and optimized; by real-time analysis of parking lot usage and user needs, the central processing system automatically adjusts the parking space allocation strategy to maximize parking space utilization and reduce user waiting time;

[0081] User behavior prediction and recommendation module: Use machine learning algorithms to predict and recommend user behavior; through the analysis of historical data, the central processing system predicts the user's parking needs and behavior patterns, and provides users with personalized parking suggestions and services.

[0082] The parking space dynamic allocation and optimization module performs optimization processing based on a genetic algorithm, specifically including the following steps:

[0083] S1: Initialize the population: randomly generate a set of candidate solutions (individuals), each individual represents a solution;

[0084] S2: Fitness evaluation: calculate the utilization efficiency of each individual parking space;

[0085] S3: selection operation: selecting a more efficient parking resource allocation scheme or strategy according to utilization efficiency as a new allocation scheme or strategy after optimization iteration;

[0086] S4: Crossover operation: generating a new parking allocation plan or strategy by exchanging some usage rules or parameter settings of the new allocation plans or strategies obtained in S3;

[0087] S5: mutation operation: randomly changing the usage rules or parameter settings of certain parking allocation schemes or strategies, and increasing the number of parking allocation schemes or strategies;

[0088] S6: New generation population: merge the newly generated parking allocation plan or strategy with the new allocation plan or strategy obtained in S3 to form a new population;

[0089] S7: Termination condition: repeat the above process until the preset stop condition is met;

[0090] The basic formula is:

[0091]

[0092] Among them, f(x) is the fitness function, P i is the probability that the ith individual is selected, and N is the population size.

[0093] The parking space dynamic allocation and optimization module allocates parking spaces based on a genetic algorithm, specifically including the following steps:

[0094] S1: Initial solution: randomly generate an initial parking space allocation plan x0;

[0095] S2: Adjust parameters: set the initial temperature T0 (exploration degree, a higher initial temperature means that the algorithm is more likely to accept inferior solutions, that is, solutions worse than the current solution, allowing the algorithm to conduct a wider global search), and the cooling rate a (as the iteration process proceeds, the temperature gradually decreases, and the probability of the algorithm accepting inferior solutions also decreases, gradually turning to local search to find a more refined optimal solution. In the parking solution, as the algorithm runs, the adjustment of the parking space allocation solution will become more cautious and refined to ensure that the final solution is close to the optimal), thereby adjusting the flexibility or sensitivity of the model;

[0096] S3: Neighborhood search: randomly select a new solution in the neighborhood of the current solution, that is, make small adjustments based on the current allocation plan;

[0097] S4: Acceptance criterion: If the new solution is better than the current solution, then accept the new solution; otherwise, accept the new solution with probability e-ΔE / T Accept the new solution, where -ΔE is the cost difference between the new and old solutions;

[0098] S5: Cooling: Lower the temperature T, T = T n *a, where n is the number of cooling times. As the temperature decreases, the algorithm tends to accept better solutions more and more.

[0099] S6: Termination condition: Repeat the above process until the preset stop condition is reached.

[0100] The user behavior prediction and recommendation module predicts the user's parking needs and behavior patterns through an artificial neural network. The feedforward neural network structure includes:

[0101] Input layer: receives external input data; including historical parking data, timestamps, and weather conditions information;

[0102] Hidden layer: transforms input signals through activation functions; helps the network learn the complex mapping relationship from input data to output results;

[0103] Output layer: Generates the final output result; when providing personalized parking suggestions and services in the parking lot, it specifically includes the recommended parking space number and the estimated parking time.

[0104] Wherein, in the artificial neural network:

[0105] When propagating forward: calculate the output value of each layer, a (l) =g(W (l) a (l-1) +b (l) ) Among them, a (l) represents the activation value of the lth layer, Q (l) is the weight matrix, b (l) is the bias term, g is the activation function;

[0106] Loss function L: measures the gap between the predicted value and the true value; Among them, y i is the actual value, is the predicted value, m is the number of samples;

[0107] During back propagation: adjust weights and biases according to the gradient descent method; These gradients are then used to update the weights and biases.

[0108] The user behavior prediction and recommendation module uses a support vector machine to identify the user's parking preferences and behavior patterns, thereby achieving more accurate service positioning and management decision optimization, specifically including:

[0109] ①Objective function: maximize the margin while minimizing the classification error rate; subject toys i (w T x i +b)≥1, i=1,…,N, where w is the normal vector and b is the intercept, aiming to find an optimal hyperplane so that the two types of samples are as far away from the hyperplane as possible;

[0110] ②Lagrange multiplier method: Introduce Lagrange multipliers to solve optimization problems under constraints; Among them, a i ≥0 is the Lagrange multiplier. By solving this optimization problem, the optimal weight vector and bias term are obtained.

[0111] Embodiment 2:

[0112] A parking system guidance device based on parking resource sharing reservation management, such as Figure 1-5 As shown, in this embodiment, based on the embodiment 1, the guiding device comprises:

[0113] A display frame 1, a first mounting frame 2 for fixing the display frame 1 is arranged on the side of the display frame 1, a display screen is installed on the display frame 1, and a camera for identifying a license plate number is installed at the bottom of the display frame 1;

[0114] A support frame 15, the support frame 15 is arranged on the back side of the display frame 1, and a connecting frame 16 is rotatably installed at the bottom end of the support frame 15;

[0115] A mounting platform 10, one end of which is fixed to a connecting frame 16;

[0116] A mounting rod 18, the mounting rod 18 is mounted on the outside of the mounting platform 10, and a flexible sleeve 12 is mounted on the outside of the mounting rod 18;

[0117] A retractable driving mechanism, which is used to retract or lower the mounting platform 10;

[0118] By setting up structures such as the display frame 1 and the mounting platform 10, the parking space information can be displayed on the display screen on the display frame 1 to guide the driver to find the corresponding parking space. The camera collects the license plate number information of the vehicle. If it matches the current parking space, that is, the user has reserved the current parking space through the user interaction terminal, the mounting platform 10 will be folded up through the retractable driving mechanism, thereby removing the blocking effect and facilitating the vehicle to enter.

[0119] In order to facilitate the control of the folding and lowering of the mounting platform 10, as shown in FIG. Figure 1 , Figure 2 As shown, the retractable driving mechanism includes:

[0120] A reel frame 9, on which a reel 13 is rotatably mounted via an axis;

[0121] The winding drive motor 8 is installed on the outer wall of one side of the winding wheel frame 9, and the output end of the winding drive motor 8 is connected to the shaft of the winding wheel 13 by transmission;

[0122] A connecting rope 14, one end of which is mounted on the reel 13, and the other end of which is connected to an end of the mounting platform 10 away from the connecting frame 16;

[0123] By providing a retractable driving mechanism, the reel 13 can be driven to rotate based on the reel driving motor 8, and the mounting platform 10 can be pulled or lowered through the connecting rope 14, thereby improving practicality.

[0124] To facilitate the provision of cleaning services, such as Figure 1-5 As shown, a plurality of liquid delivery pipes are installed inside the mounting platform 10, the top of the liquid delivery pipe is connected to the cleaning liquid supply system through the spray hole 19, and a rotating seat 27 is provided at the bottom of the liquid delivery pipe. A first nozzle 23 or a second nozzle 20 is installed on one side of the rotating seat 27. The first nozzle 23 is located in the middle of the mounting platform 10, and the second nozzle 20 is located on both sides of the first nozzle 23. The first nozzle 23 and the second nozzle 20 are respectively sealed and rotated on their respective liquid delivery pipes through their respective rotating seats 27;

[0125] The first nozzle 23 and the second nozzle 20 are both provided with a plurality of nozzles 17 at the bottom, and the nozzles 17 are provided with a plurality of spray holes 19; the nozzles 17 and the mounting platform 10 are connected via an annular connecting membrane 24; the first nozzle 23 is controlled by an angle adjustment mechanism to achieve angle deflection;

[0126] By providing the first nozzle 23, the second nozzle 20 and other structures, liquid can be supplied to the first nozzle 23 and the second nozzle 20 based on the cleaning liquid supply system, so that the vehicle body is cleaned through the nozzle 17, thereby improving practicality.

[0127] In order to facilitate the adjustment of the angle of the second nozzle 20, Figure 1 , Figure 5 As shown, the angle adjustment mechanism includes:

[0128] A carrier plate 4 is provided with a mounting cavity on the parking space, the carrier plate 4 is movably mounted in the mounting cavity through a supporting spring, a wheel block 6 is provided on the parking space, and the carrier plate 4 is located in front of the wheel block 6;

[0129] The main airbag is installed in the installation cavity. The main airbag is connected to the connecting seat 11 through the first connecting pipe 7. The bottom of the connecting seat 11 is connected to the airbag seat 26 through the second connecting pipe 21. The airbag seat 26 is installed in the installation platform 10. A columnar airbag 25 is provided at the bottom of the airbag seat 26.

[0130] A side plate 22 is installed on the side of the second nozzle 20 close to the first nozzle 23, and the side plate 22 is fixed to the bottom of the columnar airbag 25;

[0131] By providing an angle adjustment mechanism, the main airbag can be pressed downward to a certain extent based on the gravity of the vehicle body itself, so that the gas is filled into the columnar airbag 25 and other parts. The columnar airbag 25 expands and squeezes the side panel 22, thereby driving the second nozzle 20 to deflect outward; since the inflation action is driven by the gravity of the vehicle, the heavier the weight, the greater the final deformation of the columnar airbag 25, and the greater the deflection angle of the second nozzle 20. Heavier vehicles are usually larger in size. Therefore, a larger deflection angle can more comprehensively flush the vehicle body, thereby improving reliability.

[0132] In order to collect waste water, a collection tank is provided on the parking space, and a leakage plate 5 with leakage holes 3 is installed on the top of the collection tank.

[0133] 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 parking system based on parking resource sharing reservation management, characterized in that: include: Central processing system: responsible for data aggregation, analysis and processing; Including parking space status monitoring, reservation management, and billing management functions; Data collection module: collects the usage of parking spaces in real time through sensors and camera equipment, and transmits the data to the central processing system; User interaction terminal: Through mobile APP, website or in-vehicle system, users can view parking space information in real time and make reservations; the system supports multiple payment methods and has security functions; Security monitoring module: including video monitoring system and access control system to ensure the safety of parking process and data privacy protection; Parking space dynamic allocation and optimization module: Based on genetic algorithm or simulated annealing algorithm, it dynamically allocates and optimizes parking resources; By analyzing parking lot usage and user demand in real time, the central processing system automatically adjusts parking space allocation strategies to maximize parking space utilization and reduce user waiting time; User behavior prediction and recommendation module: Use machine learning algorithms to predict and recommend user behavior; through the analysis of historical data, the central processing system predicts the user's parking needs and behavior patterns, and provides users with personalized parking suggestions and services.

2. A parking system based on parking resource sharing reservation management according to claim 1, characterized in that: The parking space dynamic allocation and optimization module performs optimization processing based on a genetic algorithm, specifically including the following steps: S1: Initialize the population: randomly generate a set of candidate solutions, each individual represents a solution; S2: Fitness evaluation: calculate the utilization efficiency of each individual parking space; S3: selection operation: selecting a more efficient parking resource allocation scheme or strategy according to utilization efficiency as a new allocation scheme or strategy after optimization iteration; S4: Crossover operation: generating a new parking allocation plan or strategy by exchanging some usage rules or parameter settings of the new allocation plans or strategies obtained in S3; S5: mutation operation: randomly changing the usage rules or parameter settings of certain parking allocation schemes or strategies, and increasing the number of parking allocation schemes or strategies; S6: New generation population: merge the newly generated parking allocation plan or strategy with the new allocation plan or strategy obtained in S3 to form a new population; S7: Termination condition: repeat the above process until the preset stop condition is met; The basic formula is: Among them, f(x) is the fitness function, P i is the probability that the ith individual is selected, and N is the population size.

3. A parking system based on parking resource sharing reservation management according to claim 2, characterized in that: The parking space dynamic allocation and optimization module performs parking space allocation based on a genetic algorithm, specifically including the following steps: S1: Initial solution: randomly generate an initial parking space allocation plan x0; S2: Adjust parameters: set the initial temperature T0 and the cooling rate a to adjust the flexibility or sensitivity of the model; S3: Neighborhood search: randomly select a new solution in the neighborhood of the current solution; S4: Acceptance criterion: If the new solution is better than the current solution, then accept the new solution; otherwise, accept the new solution with probability e -ΔE / T Accept the new solution, where -ΔE is the cost difference between the new and old solutions; S5: Cooling: Lower the temperature T, T = T n *a, where n is the number of cooling times. As the temperature decreases, the algorithm tends to accept better solutions more and more. S6: Termination condition: Repeat the above process until the preset stop condition is reached.

4. A parking system based on parking resource sharing reservation management according to claim 3, characterized in that: The user behavior prediction and recommendation module predicts the user's parking needs and behavior patterns through an artificial neural network. The feedforward neural network structure includes: Input layer: receives external input data; including historical parking data, timestamps, and weather conditions information; Hidden layer: transforms input signals through activation functions; helps the network learn the complex mapping relationship from input data to output results; Output layer: Generates the final output result; when providing personalized parking suggestions and services in the parking lot, it specifically includes the recommended parking space number and the estimated parking time.

5. A parking system based on parking resource sharing reservation management according to claim 4, characterized in that: In the artificial neural network: When propagating forward: calculate the output value of each layer, a (l) =g(W (l) a (l-1) +b (l) ) Among them, a (l) represents the activation value of the lth layer, W (l) is the weight matrix, b (l) is the bias term, g is the activation function; Loss function L: measures the gap between the predicted value and the true value; Among them, y i is the actual value, is the predicted value, m is the number of samples; During back propagation: adjust weights and biases according to the gradient descent method; These gradients are then used to update the weights and biases.

6. A parking system based on parking resource sharing reservation management according to claim 5, characterized in that: The user behavior prediction and recommendation module uses a support vector machine to identify the user's parking preferences and behavior patterns, thereby achieving more accurate service positioning and management decision optimization, specifically including: ①Objective function: maximize the margin while minimizing the classification error rate; subject to you i (w T x i +b)≥1, i=1,…,N, where w is the normal vector and b is the intercept; ②Lagrange multiplier method: Introduce Lagrange multipliers to solve optimization problems under constraints; Among them, a i ≥0 is the Lagrange multiplier. By solving this optimization problem, the optimal weight vector and bias term are obtained.

7. A parking system based on parking resource sharing reservation management according to claim 1, characterized in that: The guiding device of the parking system comprises: A display frame (1), a first mounting frame (2) for fixing the display frame (1) is arranged on the side of the display frame (1), a display screen is mounted on the display frame (1), and a camera for identifying a license plate number is mounted on the bottom of the display frame (1); A support frame (15), the support frame (15) is arranged on the back side of the display frame (1), and a connecting frame (16) is rotatably mounted on the bottom end of the support frame (15); A mounting platform (10), one end of which is fixed to a connecting frame (16); A mounting rod (18), the mounting rod (18) is mounted on the outside of the mounting platform (10), and a flexible sleeve (12) is mounted on the outside of the mounting rod (18); The retractable driving mechanism is used to retract or lower the mounting platform (10).

8. A parking system based on parking resource sharing reservation management according to claim 7, characterized in that: The retractable driving mechanism comprises: A reel frame (9), on which a reel (13) is rotatably mounted via an axis; A winding drive motor (8), the winding drive motor (8) is mounted on an outer wall of one side of the winding wheel frame (9), and the output end of the winding drive motor (8) is connected to the shaft of the winding wheel (13); A connecting rope (14), one end of which is mounted on the reel (13), and the other end of which is connected to an end of the mounting platform (10) away from the connecting frame (16).

9. A parking system based on parking resource sharing reservation management according to claim 7, characterized in that: A plurality of liquid delivery pipes are installed inside the mounting platform (10), the top of the liquid delivery pipe is connected to the cleaning liquid supply system through the spray hole (19), the bottom of the liquid delivery pipe is provided with a rotating seat (27), one side of the rotating seat (27) is provided with a first spray pipe (23) or a second spray pipe (20), the first spray pipe (23) is located in the middle of the mounting platform (10), and the second spray pipe (20) is located on both sides of the first spray pipe (23), and the first spray pipe (23) and the second spray pipe (20) are respectively sealed and rotated on their respective liquid delivery pipes through their respective rotating seats (27); The bottom of each of the first nozzle (23) and the second nozzle (20) is provided with a plurality of nozzles (17), and the nozzles (17) are provided with a plurality of spray holes (19); the nozzles (17) and the mounting platform (10) are connected via an annular connecting membrane (24); and the first nozzle (23) achieves angle deflection through the control of an angle adjustment mechanism.

10. A parking system based on parking resource sharing reservation management according to claim 9, characterized in that: The angle adjustment mechanism comprises: A carrier plate (4) is provided on the parking space with an installation cavity, the carrier plate (4) is movably installed in the installation cavity via a supporting spring, a wheel block (6) is provided on the parking space, and the carrier plate (4) is located in front of the wheel block (6); a collecting trough is provided on the parking space, and a leaking plate (5) with a leaking hole (3) is installed on the top of the collecting trough; A main airbag, the main airbag is installed in the installation cavity, the main airbag is connected to a connecting seat (11) through a first connecting pipe (7), the bottom of the connecting seat (11) is connected to an airbag seat (26) through a second connecting pipe (21), the airbag seat (26) is installed in the installation platform (10), and a columnar airbag (25) is arranged at the bottom of the airbag seat (26); A side plate (22) is installed on the side of the second nozzle (20) close to the first nozzle (23), and the side plate (22) is fixed to the bottom of the columnar airbag (25).

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