Intelligent parking service system

Abstract

The invention, which relates to the technical field of parking management, discloses an intelligent parking service system comprising a user terminal module, a parking space management module, an entrance and exit module, a monitoring module, a settlement module, a comprehensive evaluation module and a data storage module. The parking space management module comprises a parking space prediction unit, an in-place navigation unit and a price dynamic adjustment unit, the parking space prediction unit predicts the parking space condition of the parking lot in the future, and the price dynamic adjustment unit is used for dynamically adjusting the price according to the parking space condition. The user terminal is used for checking, the user does not need to arrive at the scene, so that the information transparency is increased, the effect of remotely knowing the parking space condition is achieved, the parking fee is adjusted in real time through the price dynamic adjustment unit, the user vehicles can be guided to be reasonably distributed, and the utilization rate and turnover rate of the whole parking space are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of parking management, and in particular to an intelligent parking service system. Background Art

[0002] At present, urban traffic problems are becoming increasingly prominent, the number of cars is growing, the construction speed of parking lots lags far behind the growth rate of cars, and there is a serious shortage of parking spaces. With the rapid development of my country's economy and the continuous improvement of people's living standards, my country has rapidly entered a car society. Due to the lack of forward-looking urban management concepts, economic interests, and lack of laws and regulations, the growth of the number of parking spaces in various cities in my country is far behind the development trend of high-speed growth, high-intensity use, and high-density aggregation of cars, resulting in parking difficulties for people.

[0003] The existing parking lot management system has the problem of insufficient intelligence. Crowded parking lots and empty parking lots charge the same fee, and it is impossible to encourage car owners to choose uncrowded parking lots by adjusting parking fees, resulting in low parking efficiency. In traditional parking lots, users usually need to arrive at the parking lot to know the parking space situation and parking fees. There is a serious information bottleneck, and it is impossible to understand the parking lot situation remotely, which reduces the efficiency of parking space utilization. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent parking service system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: an intelligent parking service system, comprising a user terminal module, a parking space management module, an import and export module, a monitoring module, a settlement module, a comprehensive evaluation module and a data storage module, wherein the data storage module is used to store vehicle information, user information and parking lot data;

[0006] The user terminal module includes a GPS positioning unit, a query unit, and a payment unit;

[0007] The monitoring module includes a sensor unit and a camera unit. The sensor unit is used to monitor the parking lot in real time through the parking sensor. The customer can view the situation in real time through the user terminal module. The camera unit is used to monitor the parking lot.

[0008] The parking space management module includes a parking space prediction unit, an on-site navigation unit, and a price dynamic adjustment unit;

[0009] The parking space prediction unit predicts the parking space situation of the parking lot in the future by combining the real-time data of the parking lot, and the on-site navigation unit is used to plan a parking route for the user after the car enters the parking lot;

[0010] The price dynamic adjustment unit is used to dynamically adjust the price according to the parking space situation;

[0011] The comprehensive evaluation module is used to combine the data of the parking space prediction unit and the price dynamic adjustment unit to obtain a comprehensive parking lot score S, and to perform a quantitative evaluation of the parking lot, so as to facilitate users to understand the parking lot situation.

[0012] Optionally, the import and export module includes a license plate recognition device, a display screen and a gate device, which are used for automatic vehicle identification and calculating the parking time based on the time difference between the vehicle's entrance and exit in the parking lot.

[0013] Optionally, the prediction process of the parking space prediction unit is as follows:

[0014]

[0015] Where P(t+n) is the parking space occupancy rate at time t+n;

[0016] P(t) is the parking space occupancy rate at the current time;

[0017] D(t+n) is the date value of time t+n, ranging from 0 to 1;

[0018] is the road congestion around the parking lot at the current time;

[0019] C t is the traffic volume around the parking lot at the current time;

[0020] C max It is the maximum traffic flow around the parking lot;

[0021] β is the date influence coefficient, ranging from 0 to 1;

[0022] ΔP(t-n) is the change in parking space occupancy from time t-n to time t, specifically:

[0023] ΔP(t-1)=P(t)-P(t-1)

[0024] α is the parking space occupancy rate change impact coefficient, ranging from 0 to 1;

[0025] The parking space occupancy rate at time t+n P(t+n) represents the parking space situation in the future. When P(t+n) is greater than 1, it means that the parking lot will be overloaded in the future, and users can choose other parking lots.

[0026] Optionally, the price dynamic adjustment unit process is as follows:

[0027]

[0028] Q(t+n) represents the parking fee for time t+n, based on unit time;

[0029] Q(t) is the parking fee at the current time;

[0030] P(t+n) is the parking space occupancy rate at time t+n;

[0031] P target is the target parking space occupancy rate;

[0032] P max is the maximum parking space occupancy rate;

[0033] P min is the minimum parking space occupancy rate;

[0034] γ is the dynamic adjustment coefficient, which is 0.7;

[0035] By dynamically adjusting parking fees based on parking space occupancy rates, parking fees will be increased when parking spaces are scarce, and reduced when parking spaces are sufficient, in order to encourage users to park during periods when parking spaces are more plentiful.

[0036] Optionally, the comprehensive evaluation module evaluation process is as follows:

[0037]

[0038] S(t+n) is the comprehensive rating of the parking lot at time t+n, and S is the comprehensive rating of the parking lot;

[0039] P(t+n) is the parking space occupancy rate at time t+n;

[0040] P max is the maximum parking space occupancy rate;

[0041] W1 is the parking space influence coefficient, which is 0.4;

[0042] Q(t+n) represents the parking fee for time t+n;

[0043] Q max is the maximum parking fee;

[0044] W2 is the parking fee impact coefficient, which is 0.3;

[0045] L is the distance between the parking lot and the user;

[0046] L max is the maximum distance between the parking lot and the user;

[0047] W3 is the distance influencing factor, and its value is 0.3;

[0048] The comprehensive score S(t+n) of the parking lot at time t+n obtained by the comprehensive evaluation module represents the comprehensive situation of the parking lot. The larger S(t+n) is, the more parking spaces the parking lot has, the lower the fee is, and the closer the distance is. The user adjusts the impact coefficient according to actual needs. When the user pays more attention to the parking fee, the parking fee impact coefficient W2 is increased, and W1 and W3 are reduced to ensure that W1+W2+W3=1.

[0049] Optionally, a maximum threshold Y is set for the comprehensive score S(t+n) of the parking lot at time t+n, and the value of Y is 0.8. When S(t+n) is less than Y, it means that there are many parking spaces and the fee is low. At this time, the parking lot management party needs to increase the dynamic adjustment coefficient γ in the price dynamic adjustment unit to increase the parking fee to ensure economic benefits, specifically:

[0050]

[0051] Where S(t+n) is the comprehensive score of the parking lot at time t+n;

[0052] γ is the dynamic adjustment coefficient.

[0053] Optionally, the settlement module is used to settle the total parking price based on the parking time and the parking fee adjusted by the price dynamic adjustment unit, and display the result and the QR code on the display screen at the parking lot exit, and send the parking fee information to the user terminal module.

[0054] Optionally, the on-site navigation unit is used to provide parking lot navigation for users, record parking locations, and send parking locations to user terminal modules so that users can find their own vehicles.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] 1. The present invention can predict the parking space situation of a parking lot at a future time through a parking space prediction unit, and view it through a user terminal. Users can choose to view the parking space situation of the parking lot at a future time according to the time they arrive at the parking lot, without the need for users to be on site, thereby increasing information transparency and achieving the effect of remotely understanding the parking space situation. The parking fee is then adjusted in real time through a dynamic price adjustment unit. When parking spaces in the parking lot are in short supply, the parking fee is increased, and when parking spaces in the parking lot are sufficient, the parking fee is reduced. Thus, the price can be dynamically adjusted according to the actual parking space situation, and the user's vehicle can be guided to be reasonably distributed, avoiding excessive concentration of parking spaces in certain areas or time periods, and improving the overall utilization rate and turnover rate of parking spaces.

[0057] 2. The present invention obtains a comprehensive parking lot score S by combining the data of the parking space prediction unit and the price dynamic adjustment unit through a comprehensive evaluation module, thereby realizing a quantitative evaluation of the parking lot, and facilitating users to quickly understand the parking lot situation. In addition, the parking space influence coefficient, parking fee influence coefficient and distance influence factor can be adjusted according to the actual needs of users, so that the system can meet the different needs of users, has strong flexibility, and can guide users to park in parking lots with higher comprehensive parking lot scores S, thereby further improving the utilization efficiency of parking spaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a block diagram of the system module of the present invention;

[0059] Figure 2 This is a block diagram of a user terminal module of the present invention;

[0060] Figure 3 This is a block diagram of the parking space management module of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] For examples, see Figures 1 to 3 ,This implementation provides an intelligent parking service system including a user terminal module, a parking space management module, an import and export module, a monitoring module, a settlement module, a comprehensive evaluation module and a data storage module;

[0063] The user terminal module includes a GPS positioning unit, a query unit, and a payment unit;

[0064] The monitoring module includes a sensor unit and a camera unit. The sensor unit is used to monitor the parking lot situation in real time through the parking space sensor. Customers can view it in real time through the user terminal module. The camera unit is used to monitor the parking lot;

[0065] The parking space management module includes a parking space prediction unit, an on-site navigation unit, and a price dynamic adjustment unit;

[0066] The on-site navigation unit is used to provide users with parking lot navigation, record the parking location, and send the parking location to the user terminal module so that users can find their own vehicles;

[0067] Specifically, the on-site navigation unit can be combined with the GPS positioning unit in the user terminal module to obtain the specific location of the vehicle in the parking lot, and display the parking lot map information on the user terminal to guide the user to an empty parking space or find his own vehicle, thereby solving the problem of users having difficulty parking and finding their own vehicles, which can greatly save users' time, relieve the pressure on the parking lot, and improve the efficiency of parking space utilization;

[0068] The parking space prediction unit predicts the parking space situation in the future by combining the real-time data of the parking lot. The on-site navigation unit is used to plan the parking route for the user after the car enters the parking lot.

[0069] The price dynamic adjustment unit is used to dynamically adjust the price according to the parking space situation. In actual use, the refresh frequency of the price dynamic adjustment unit can be set, such as once every 5 minutes or once every 10 minutes;

[0070] The comprehensive evaluation module is used to combine the data of the parking space prediction unit and the price dynamic adjustment unit to obtain the comprehensive score S of the parking lot, and conduct a quantitative evaluation of the parking lot to facilitate users to understand the parking lot situation.

[0071] In this embodiment, by setting up a user terminal module, the user can remotely log in to the system through a mobile phone, and remotely query the parking space situation of the parking lot through the query unit in the user terminal module. The parking space situation of the parking lot is monitored in real time by the sensor unit in the monitoring module, and then the parking space prediction unit in the parking space management module can predict the parking space situation of the parking lot in the future. The user can choose to view the parking space situation of the parking lot in the future according to the time he arrives at the parking lot, so as to know the parking space situation when he arrives at the parking lot, and make subsequent choices based on the predicted parking space situation. The user does not need to go to the site, thereby increasing information transparency, saving user time, and alleviating traffic pressure. Afterwards, the parking fee is adjusted in real time through the price dynamic adjustment unit. When the parking lot is short of parking spaces, the parking fee is increased, and when the parking lot is sufficient, the parking fee is reduced. Therefore, the price can be dynamically adjusted according to the actual parking space situation, which can guide the reasonable distribution of user vehicles, avoid excessive concentration of parking spaces in certain areas or time periods, and improve the overall parking space utilization and turnover rate.

[0072] Finally, the comprehensive evaluation module combines the data from the parking space prediction unit and the price dynamic adjustment unit to obtain the comprehensive parking lot score S, thereby realizing a quantitative evaluation of the parking lot, which is convenient for users to quickly understand the parking lot situation, and can adjust the comprehensive parking lot score S according to the actual needs of users, such as paying more attention to the price factor or distance factor of the parking lot, so that it is more in line with user needs and has strong flexibility, which is convenient for users to compare different parking lots, so as to choose a parking lot that is more suitable for them and improve the utilization efficiency of parking spaces.

[0073] Furthermore, the entrance and exit module includes a license plate recognition device, a display screen and a gate device for automatic vehicle identification, and calculates the parking time by the time difference between the vehicle's entrance and exit in the parking lot.

[0074] Specifically, the license plate recognition device uses high-definition cameras and image processing technology to automatically recognize vehicle license plates, providing fast and accurate identity verification for vehicles entering and leaving the parking lot. When the correct license plate number is recognized, it will choose whether to open the barrier device based on the parking space situation in the parking lot, and display the result on the display screen. When the car leaves the parking lot, the display screen will show the parking fee so that the user can pay later.

[0075] Furthermore, the prediction process of the parking space prediction unit is as follows:

[0076]

[0077] Where P(t+n) is the parking space occupancy rate at time t+n;

[0078] P(t) is the parking space occupancy rate at the current time;

[0079] D(t+n) is the date value of time t+n, ranging from 0 to 1;

[0080] is the road congestion around the parking lot at the current time;

[0081] C t is the traffic volume around the parking lot at the current time;

[0082] C max It is the maximum traffic flow around the parking lot;

[0083] β is the date influence coefficient, ranging from 0 to 1;

[0084] ΔP(t-n) is the change in parking space occupancy from time t-n to time t, specifically:

[0085] ΔP(t-1)=P(t)-P(t-1)

[0086] α is the parking space occupancy rate change impact coefficient, ranging from 0 to 1;

[0087] Specifically, the parking space occupancy rate P(t+n) at time t+n represents the parking space situation in the future. When P(t+n) is greater than 1, it means that the parking lot will be overloaded in the future. Users can choose other parking lots and predict the parking spaces in the future based on real-time data. This allows users to understand the parking space situation before going to the parking lot, thereby avoiding blindly searching for parking spaces in the parking lot, saving time and energy, and improving the transparency of parking lot information.

[0088] Furthermore, the price dynamic adjustment unit process is as follows:

[0089]

[0090] Q(t+n) represents the parking fee at time t+n, based on unit time, such as 10 yuan per hour at 10 o'clock and 15 yuan per hour at 11 o'clock;

[0091] Q(t) is the parking fee at the current time;

[0092] P(t+n) is the parking space occupancy rate at time t+n;

[0093] P target is the target parking space occupancy rate;

[0094] P max is the maximum parking space occupancy rate;

[0095] P min is the minimum parking space occupancy rate;

[0096] γ is the dynamic adjustment coefficient, which is 0.7;

[0097] By dynamically adjusting parking fees based on parking space occupancy rates, parking fees will be increased when parking spaces are in short supply, and reduced when parking spaces are sufficient. This encourages users to park during periods when parking spaces are more plentiful, and to seek other parking options during periods when parking spaces are tight. This will balance the use of parking spaces in the parking lot and improve overall parking efficiency.

[0098] Furthermore, the evaluation process of the comprehensive evaluation module is as follows:

[0099]

[0100] S(t+n) is the comprehensive rating of the parking lot at time t+n, and S is the comprehensive rating of the parking lot;

[0101] P(t+n) is the parking space occupancy rate at time t+n;

[0102] P max is the maximum parking space occupancy rate;

[0103] W1 is the parking space influence coefficient, which is 0.4;

[0104] Q(t+n) represents the parking fee for time t+n;

[0105] Q max is the maximum parking fee;

[0106] W2 is the parking fee impact coefficient, which is 0.3;

[0107] L is the distance between the parking lot and the user;

[0108] L max is the maximum distance between the parking lot and the user;

[0109] W3 is the distance influencing factor, and its value is 0.3;

[0110] Specifically, the comprehensive parking score S(t+n) at time t+n obtained by the comprehensive evaluation module represents the comprehensive situation of the parking lot. The larger S(t+n) is, the more parking spaces the parking lot currently has, the lower the fee is, and the closer the distance is. The user adjusts the influence coefficient according to actual needs. When the user pays more attention to the parking fee, the parking fee influence coefficient W2 is increased, and W1 and W3 are reduced to ensure that W1+W2+W3=1. The parking space influence coefficient, parking fee influence coefficient and distance influence factors are adjusted according to actual needs, so that the system can meet the different needs of users, has strong flexibility, and can guide users to park in parking lots with higher comprehensive scores S, thereby further improving parking efficiency.

[0111] Furthermore, a maximum threshold Y is set for the comprehensive score S(t+n) of the parking lot at time t+n, and the value of Y is 0.8. When S(t+n) is less than Y, it means that there are many parking spaces and the fee is low. At this time, the parking lot management needs to increase the dynamic adjustment coefficient γ in the price dynamic adjustment unit to increase the parking fee to ensure economic benefits. Specifically:

[0112]

[0113] Where S(t+n) is the comprehensive score of the parking lot at time t+n;

[0114] γ is the dynamic adjustment coefficient;

[0115] Specifically, by setting the dynamic adjustment coefficient γ, real-time adjustments can be made according to the comprehensive score S of the parking lot. By reasonably increasing the price, when there is an oversupply of parking spaces, a moderate increase in fees can stimulate some price-sensitive users to choose to give up, help optimize the parking space utilization rate of the parking lot, thereby avoiding excess parking spaces and ensuring the maximum utilization of resources, which can improve parking efficiency while ensuring economic benefits.

[0116] Furthermore, the settlement module is used to settle the total parking price according to the parking time and the parking fee adjusted by the price dynamic adjustment unit, and display the result and the QR code on the display screen at the parking lot exit, and send the fee information to the user terminal module.

[0117] Specifically, when the car leaves the parking lot, the parking fee is displayed through the settlement module, and a QR code is also displayed at the same time so that the user can scan the code to pay, without the need for manual processing. In actual application, users can pay directly through the payment unit or by scanning the QR code. It is highly intelligent and saves exit time.

[0118] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent parking service system, characterized in that: It includes user terminal module, parking space management module, import and export module, monitoring module, settlement module, comprehensive evaluation module and data storage module; The user terminal module includes a GPS positioning unit, a query unit, and a payment unit; The monitoring module includes a sensor unit and a camera unit. The sensor unit is used to monitor the parking lot in real time through the parking sensor. The customer can view the situation in real time through the user terminal module. The camera unit is used to monitor the parking lot. The parking space management module includes a parking space prediction unit, an on-site navigation unit, and a price dynamic adjustment unit; The parking space prediction unit predicts the parking space situation of the parking lot in the future by combining the real-time data of the parking lot, and the on-site navigation unit is used to plan a parking route for the user after the car enters the parking lot; The price dynamic adjustment unit is used to dynamically adjust the price according to the parking space situation; The comprehensive evaluation module is used to combine the data of the parking space prediction unit and the price dynamic adjustment unit to obtain a comprehensive parking lot score S, and to perform a quantitative evaluation of the parking lot, so as to facilitate users to understand the parking lot situation.

2. The intelligent parking service system according to claim 1, characterized in that: The entry and exit module includes a license plate recognition device, a display screen and a gate device, which are used for automatic vehicle identification and calculates the parking time based on the time difference of the vehicle entering and exiting the parking lot.

3. The intelligent parking service system according to claim 2, characterized in that: The prediction process of the parking space prediction unit is as follows: Where P(t+n) is the parking space occupancy rate at time t+n; P(t) is the parking space occupancy rate at the current time; D(t+n) is the date value of time t+n, ranging from 0 to 1; is the road congestion around the parking lot at the current time; C t is the traffic volume around the parking lot at the current time; C max It is the maximum traffic flow around the parking lot; β is the date influence coefficient, ranging from 0 to 1; ΔP(t-n) is the change in parking space occupancy from time t-n to time t, specifically: ΔP(t-1)=P(t)-P(t-1) α is the parking space occupancy rate change impact coefficient, ranging from 0 to 1; The parking space occupancy rate at time t+n P(t+n) represents the parking space situation in the future. When P(t+n) is greater than 1, it means that the parking lot will be overloaded in the future, and users can choose other parking lots.

4. The intelligent parking service system according to claim 3, characterized in that: The process of the price dynamic adjustment unit is as follows: Q(t+n) represents the parking fee for time t+n, based on unit time; Q(t) is the parking fee at the current time; P(t+n) is the parking space occupancy rate at time t+n; P target is the target parking space occupancy rate; P max is the maximum parking space occupancy rate; P min is the minimum parking space occupancy rate; γ is the dynamic adjustment coefficient, which is 0.7; By dynamically adjusting parking fees based on parking space occupancy rates, parking fees will be increased when parking spaces are scarce, and reduced when parking spaces are sufficient, in order to encourage users to park during periods when parking spaces are more plentiful.

5. The intelligent parking service system according to claim 4, characterized in that: The evaluation process of the comprehensive evaluation module is as follows: S(t+n) is the comprehensive rating of the parking lot at time t+n, and S is the comprehensive rating of the parking lot; P(t+n) is the parking space occupancy rate at time t+n; P max is the maximum parking space occupancy rate; W1 is the parking space influence coefficient, which is 0.4; Q(t+n) represents the parking fee for time t+n; Q max is the maximum parking fee; W2 is the parking fee impact coefficient, which is 0.3; L is the distance between the parking lot and the user; L max is the maximum distance between the parking lot and the user; W3 is the distance influencing factor, and its value is 0.3; The comprehensive score S(t+n) of the parking lot at time t+n obtained by the comprehensive evaluation module represents the comprehensive situation of the parking lot. The larger S(t+n) is, the more parking spaces the parking lot has, the lower the fee is, and the closer the distance is. The user adjusts the impact coefficient according to actual needs. When the user pays more attention to the parking fee, the parking fee impact coefficient W2 is increased, and W1 and W3 are reduced to ensure that W1+W2+W3=1.

6. The intelligent parking service system according to claim 5, characterized in that: The maximum threshold Y is set for the comprehensive score of the parking lot at time t+n S(t+n), and the value of Y is 0.

8. When S(t+n) is less than Y, it means that there are many parking spaces and the fee is low. At this time, the parking lot management needs to increase the dynamic adjustment coefficient γ in the price dynamic adjustment unit to increase the parking fee to ensure economic benefits. Specifically: Where S(t+n) is the comprehensive score of the parking lot at time t+n; γ is the dynamic adjustment coefficient.

7. The intelligent parking service system according to claim 2, characterized in that: The settlement module is used to settle the total parking price according to the parking time and the parking fee adjusted by the price dynamic adjustment unit, and display the result and the QR code on the display screen at the parking lot exit, and send the parking fee information to the user terminal module.

8. The intelligent parking service system according to claim 1, characterized in that: The on-site navigation unit is used to provide parking lot navigation for users, record parking positions, and send the parking positions to the user terminal module.

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