CN112669474A - Wisdom garden parking management system based on internet - Google Patents
Wisdom garden parking management system based on internet Download PDFInfo
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Abstract
The invention discloses an intelligent park parking management system based on the Internet, which relates to the technical field of parking management and solves the technical problem of insufficient parking space resource utilization in the prior art; the invention is provided with the registration login module, which is helpful for providing a basis for reasonable distribution of parking resources; the invention is provided with a credit analysis module, and the credit analysis module is used for analyzing the parking credit of a user; the credit analysis module calculates a user parking credit evaluation coefficient through the parking record of the user, and acquires the parking credit grade of the user according to the parking evaluation coefficient, so that the waste of parking resources by the user is avoided, and the parking space management efficiency is improved; the intelligent park parking space management system is provided with the parking space management module, the parking space management module controls the vehicles to enter and exit according to the results of the credit analysis module and the registration login module, and when the parking space in the intelligent park is insufficient, the parking space of the accessory is searched for the user, so that the parking space resource is fully utilized.
Description
Technical Field
The invention belongs to the field of parking management, relates to the internet technology, and particularly relates to an internet-based intelligent park parking management system.
Background
The intelligent parking lot management system is a general name of modern parking lot vehicle charging and equipment automatic management, and is a high-tech electromechanical integrated product for completely placing a parking lot under the unified management of a computer; the intelligent parking lot is characterized in that a parking lot is connected with a smart phone entering the parking lot through geomagnetic induction, an integrated parking lot background management system is established, parking automatic navigation and intelligent service for paying parking fees on line of the parking lot are achieved, a full-automatic parking management system is comprehensively laid, and traffic flow is reasonably dredged.
The invention patent with the publication number of CN111161433A provides a parking management system based on an intelligent park, which comprises a parking management system, a parking networking management access system, a parking position detection system and a vehicle exit management system, wherein the parking management system comprises a third processor and a vehicle entrance end three-level communication module, the parking networking management access system comprises a first processor, an access end one-level communication module, an access end two-level communication module and an access end three-level communication module, the vehicle entrance end three-level communication module is in wireless connection with the access end three-level communication module, and the parking position monitoring system comprises a position sensor, a parking section and a communication module.
The scheme is convenient for observing available parking space information conveniently, conveniently and intuitively, is beneficial to the maximum utilization and integrated management of parking resources, and realizes the interconnection and intercommunication of resources of open parking and indoor parking lots; however, in the above scheme, only the integrated scheduling is performed for the open parking lot and the indoor parking lot in the park, and the parking space resources cannot be fully utilized; therefore, the above solution still needs further improvement.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides an intelligent park parking management system based on the Internet.
The purpose of the invention can be realized by the following technical scheme: an intelligent park parking management system based on the Internet comprises a processor, a credit analysis module, a management and maintenance module, a data storage module, a registration and login module, a parking space management module and a parking space prediction module;
numbering the smart campus as i, i ═ 1, 2, … …, n; wherein n is a positive integer;
the parking space management module comprises a parking space searching unit and a parking space control unit; the parking space searching unit is used for searching parking spaces for temporary users; parking stall the control unit is used for controlling the business turn over of interim user and garden user, includes:
when a vehicle arrives at the door of the intelligent park i, the license plate number of the vehicle is extracted through the image acquisition unit and is marked as a verification license plate number; the image acquisition unit comprises a high-definition camera and an action holder;
acquiring the predicted parking space residual amount of the intelligent park i; when the predicted parking space residual amount is smaller than the parking space residual amount threshold value, the intelligent barrier gate is closed, the display screen prompts a user that the residual parking space is 0, and meanwhile, a parking space searching signal is sent to the parking space searching unit; otherwise, acquiring a user corresponding to the verification license plate number, and controlling the intelligent barrier gate to be opened when the user credit rating is a first rating; when the user credit level is the second level and the user is a park user, controlling the intelligent barrier to be opened; when the credit level of the user is the second level and the user is a temporary user, acquiring a arrearage bill of the user, and controlling the intelligent barrier gate to be opened after the user pays the arrearage bill in full amount; when the credit level of the user is a third level and the user is a park user, acquiring a arrearage bill of the user, and controlling the intelligent barrier to be opened after the user pays the arrearage bill in full; when the user reputation level is a third level and the user is a temporary user, forbidding the user to enter; the reputation levels include a first level, a second level, and a third level.
Preferably, the parking space searching unit searches for the parking space for the user after receiving the parking space searching signal, including:
after receiving the parking space searching signal, the parking space searching unit acquires the sending position of the parking space searching signal; the sending position comprises the position of the intelligent terminal of the user and the position of the intelligent park i;
a round area is defined by taking the sending position as the circle center and the set value R as the radius, and an intelligent park with the parking space surplus larger than the surplus threshold value in the round area is obtained and marked as a target park; the residual amount threshold is greater than 0;
planning a sending position and a path of a target park through a third party platform; the third party platform comprises a Baidu map and a Gade map;
acquiring the congestion degree and the driving distance of a path, and respectively marking the congestion degree and the driving distance as YTD and XSJ;
acquiring a path evaluation coefficient LPX by a formula LPX ═ β 1 × YTD + β 2 × XSJ; wherein β 1 and β 2 are proportionality coefficients, and β 1 and β 2 are real numbers greater than 0;
selecting a path with the minimum path evaluation coefficient LPX as a target path;
sending the target path to an intelligent terminal of a user through a processor; and simultaneously, sending the target path to a data storage module for storage.
Preferably, the management and maintenance module is used for monitoring communication states among the processor, the credit analysis module, the management and maintenance module, the data storage module, the registration and login module, the parking space management module and the parking space prediction module, wherein the communication states include communication interruption, normal communication and poor communication; and when the communication state is communication interruption and poor communication, the management and maintenance module dispatches a worker to carry out maintenance and repair.
Preferably, the parking stall prediction module is used for obtaining the prediction parking stall surplus in wisdom garden, includes:
acquiring historical data of the park through a data storage module; the park historical data comprises the number of the park users, weather data and the remaining amount of parking spaces;
randomly selecting a training set, a verification set and a test set from the park historical data according to a set proportion;
constructing a neural network model; the neural network model comprises an error forward propagation neural network and an RBF neural network;
training the neural network model through a training set, a verification set and a test set, and judging that the training of the neural network model is successful and marking the neural network model as a prediction model when the learning precision and the learning times of the neural network model meet the requirements;
acquiring future data of the park; the park future data comprise park user headcount and park future weather data, and the park future weather data are acquired through a weather platform;
inputting future data of the park into a prediction model to obtain the predicted parking space residual amount;
integrating the predicted parking space residual amounts of all parks, and sending the parking space residual amounts to a processor according to a preset period; the preset periods include half an hour, one hour and one day;
and sending the prediction model and the predicted parking space residual amount to a data storage module for storage through a processor.
Preferably, the credit analysis module is configured to analyze the parking reputation of the user, and includes:
the parking record of the user is obtained through a data storage module; the parking records comprise total parking times, total parking duration and total arrearage times, and the total parking times, the total parking duration and the total arrearage times are respectively marked as YTZ, YTS and YQZ; the users comprise temporary users and park users;
when the parking times YTZ meet 0-YTZ-L1, judging that the parking times of the user do not meet the requirements, and not calculating the parking credit of the user; when the total number YTZ of parking satisfies L1<YTZ is expressed by formula TXPX
Obtaining a parking reputation evaluation coefficient TXPX; where L1 is the total number of stops threshold, and L1 ∈ [8,10 ]]Alpha 1 and alpha 2 are proportionality coefficients, and both alpha 1 and alpha 2 are real numbers greater than 0;
when the parking reputation evaluation coefficient TXPX meets the condition that L3 is not more than TXPX, judging that the parking reputation of the user is excellent, marking the parking reputation grade of the user as a first grade, when the parking reputation evaluation coefficient TXPX meets the condition that L2< TXPX is not more than L3, judging that the parking reputation of the user is medium, marking the parking reputation grade of the user as a second grade, when the parking reputation evaluation coefficient TXPX meets the condition that TXPX is not less than 0 and is not more than L2, judging that the parking reputation of the user is bad, and marking the parking reputation grade of the user as a third grade; wherein L2 and L3 are parking reputation evaluation coefficient threshold values, and L2 is more than or equal to 0 and less than L3;
integrating the users of the first level to generate a user white list, and integrating the users of the second level to generate a user yellow list; integrating the users of the third level to generate a user blacklist; the user white list, the user yellow list and the user black list all contain verification information of the user;
and sending the user white list, the user yellow list and the user black list to a data storage module for storage through the processor.
Preferably, the registration login module is configured to complete registration login of a user, and includes:
a user sends verification information to a registration login module through an intelligent terminal; the verification information comprises a user name, a user address, a user mobile phone number, an intelligent park number and a user license plate number;
connecting a database of a third party platform through a processor; the third-party platform is a management system of the intelligent park corresponding to the intelligent park number;
searching in a database through the user name and the user address to obtain a search result, and marking the search result as SJ; the value of the search result SJ is 0 and 1, when the search result SJ is 0, the result is not searched in the database, and when the search result SJ is 1, the result is searched in the database;
when the search result SJ is equal to 0, consistency analysis is carried out on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, a license plate number error signal is sent to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a temporary user, and generating a temporary account;
when the search result SJ is 1, carrying out consistency analysis on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, sending a license plate number error signal to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a campus user, and generating a campus account;
and respectively sending the temporary account and the park account to a data storage module and an intelligent terminal of a user through a processor.
Preferably, the processor is respectively in communication connection with the credit analysis module, the management and maintenance module, the data storage module, the registration and login module, the parking space management module and the parking space prediction module, and the data storage module is in communication connection with the management and maintenance module.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention sets a registration login module, and the setting is used for completing the registration login of the user; the registration login module divides the users into temporary users and park users through the verification information, reasonably distinguishes the users and is beneficial to providing a basis for reasonable distribution of parking resources;
2. the invention is provided with a credit analysis module, and the credit analysis module is used for analyzing the parking credit of a user; the credit analysis module calculates a user parking credit evaluation coefficient through the parking record of the user, and acquires the parking credit grade of the user according to the parking evaluation coefficient, so that the waste of parking resources by the user is avoided, and the parking space management efficiency is improved;
3. the intelligent park parking space management system is provided with the parking space management module, the parking space management module controls the vehicles to enter and exit according to the results of the credit analysis module and the registration login module, and when the parking space in the intelligent park is insufficient, the parking space of the accessory is searched for the user, so that the parking space resource is fully utilized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an internet-based intelligent park parking management system includes a processor, a credit analysis module, a management and maintenance module, a data storage module, a registration and login module, a parking space management module and a parking space prediction module;
numbering the smart campus as i, i ═ 1, 2, … …, n; wherein n is a positive integer;
the parking space management module comprises a parking space searching unit and a parking space control unit; the parking space searching unit is used for searching parking spaces for temporary users; parking stall the control unit is used for controlling the business turn over of interim user and garden user, includes:
when a vehicle arrives at the door of the intelligent park i, the license plate number of the vehicle is extracted through the image acquisition unit and is marked as a verification license plate number; the image acquisition unit comprises a high-definition camera and an action holder;
acquiring the predicted parking space residual amount of the intelligent park i; when the predicted parking space residual amount is smaller than the parking space residual amount threshold value, the intelligent barrier gate is closed, the display screen prompts a user that the residual parking space is 0, and meanwhile, a parking space searching signal is sent to the parking space searching unit; otherwise, acquiring a user corresponding to the verification license plate number, and controlling the intelligent barrier gate to be opened when the user credit rating is a first rating; when the user credit level is the second level and the user is a park user, controlling the intelligent barrier to be opened; when the credit level of the user is the second level and the user is a temporary user, acquiring a arrearage bill of the user, and controlling the intelligent barrier gate to be opened after the user pays the arrearage bill in full amount; when the credit level of the user is a third level and the user is a park user, acquiring a arrearage bill of the user, and controlling the intelligent barrier to be opened after the user pays the arrearage bill in full; when the user reputation level is a third level and the user is a temporary user, forbidding the user to enter; the reputation levels include a first level, a second level, and a third level.
Further, parking stall search unit searches for the user after receiving parking stall search signal, includes:
after receiving the parking space searching signal, the parking space searching unit acquires the sending position of the parking space searching signal; the sending position comprises the position of the user intelligent terminal and the position of the intelligent park i;
a round area is defined by taking the sending position as the circle center and the set value R as the radius, and an intelligent park with the parking space surplus larger than the surplus threshold value in the round area is obtained and marked as a target park; the residual amount threshold is greater than 0;
planning a sending position and a path of a target park through a third party platform; the third party platform comprises a Baidu map and a Gade map;
acquiring the congestion degree and the driving distance of a path, and respectively marking the congestion degree and the driving distance as YTD and XSJ;
acquiring a path evaluation coefficient LPX by a formula LPX ═ β 1 × YTD + β 2 × XSJ; wherein β 1 and β 2 are proportionality coefficients, and β 1 and β 2 are real numbers greater than 0;
selecting a path with the minimum path evaluation coefficient LPX as a target path;
sending the target path to an intelligent terminal of a user through a processor; and simultaneously, sending the target path to a data storage module for storage.
Furthermore, the management and maintenance module is used for monitoring the communication states among the processor, the credit analysis module, the management and maintenance module, the data storage module, the registration and login module, the parking space management module and the parking space prediction module, wherein the communication states comprise communication interruption, normal communication and poor communication; and when the communication state is communication interruption and poor communication, the management and maintenance module dispatches a worker to carry out maintenance and repair.
Further, parking stall prediction module is used for acquireing the prediction parking stall surplus in wisdom garden, includes:
acquiring historical data of the park through a data storage module; the park historical data comprises the number of the park users, weather data and the remaining amount of parking spaces;
randomly selecting a training set, a verification set and a test set from the park historical data according to a set proportion;
constructing a neural network model; the neural network model comprises an error forward propagation neural network and an RBF neural network;
training the neural network model through a training set, a verification set and a test set, and judging that the training of the neural network model is successful and marking the neural network model as a prediction model when the learning precision and the learning times of the neural network model meet the requirements;
acquiring future data of the park; the park future data comprise the total number of park users and park future weather data, and the park future weather data are acquired through a weather platform;
inputting future data of the park into a prediction model to obtain the predicted parking space residual amount;
integrating the predicted parking space residual amounts of all parks, and sending the parking space residual amounts to a processor according to a preset period; the preset periods include half an hour, one hour and one day;
and sending the prediction model and the predicted parking space residual amount to a data storage module for storage through a processor.
Further, the credit analysis module is used for analyzing the parking reputation of the user, and comprises the following steps:
the parking record of the user is obtained through a data storage module; the parking records comprise total parking times, total parking duration and total defaulting times, and the total parking times, the total parking duration and the total defaulting times are respectively marked as YTZ, YTS and YQZ; the users comprise temporary users and park users;
when the parking times YTZ meet 0-YTZ-L1, judging that the parking times of the user do not meet the requirements, and not calculating the parking credit of the user; when the total number YTZ of parking satisfies L1<YTZ is expressed by formula TXPX
Obtaining a parking reputation evaluation coefficient TXPX; where L1 is the total number of stops threshold, and L1 ∈ [8,10 ]]Alpha 1 and alpha 2 are proportionality coefficients, and both alpha 1 and alpha 2 are real numbers greater than 0;
when the parking reputation evaluation coefficient TXPX meets the condition that L3 is not more than TXPX, judging that the parking reputation of the user is excellent, marking the parking reputation grade of the user as a first grade, when the parking reputation evaluation coefficient TXPX meets the condition that L2< TXPX is not more than L3, judging that the parking reputation of the user is medium, marking the parking reputation grade of the user as a second grade, when the parking reputation evaluation coefficient TXPX meets the condition that TXPX is not less than 0 and is not more than L2, judging that the parking reputation of the user is bad, and marking the parking reputation grade of the user as a third grade; wherein L2 and L3 are parking reputation evaluation coefficient threshold values, and L2 is more than or equal to 0 and less than L3;
integrating the users of the first level to generate a user white list, and integrating the users of the second level to generate a user yellow list; integrating the users of the third level to generate a user blacklist; the user white list, the user yellow list and the user black list all contain verification information of the user;
and sending the user white list, the user yellow list and the user black list to a data storage module for storage through the processor.
Further, the registration login module is configured to complete registration login of the user, and includes:
a user sends verification information to a registration login module through an intelligent terminal; the verification information comprises a user name, a user address, a user mobile phone number, an intelligent park number and a user license plate number;
connecting a database of a third party platform through a processor; the third-party platform is a management system of the intelligent park corresponding to the intelligent park number;
searching in a database through the user name and the user address to obtain a search result, and marking the search result as SJ; the value of the search result SJ is 0 and 1, when the search result SJ is 0, the result is not searched in the database, and when the search result SJ is 1, the result is searched in the database;
when the search result SJ is equal to 0, consistency analysis is carried out on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, a license plate number error signal is sent to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a temporary user, and generating a temporary account;
when the search result SJ is 1, carrying out consistency analysis on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, sending a license plate number error signal to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a campus user, and generating a campus account;
and respectively sending the temporary account and the park account to a data storage module and an intelligent terminal of a user through a processor.
Furthermore, the processor is respectively in communication connection with the credit analysis module, the management and maintenance module, the data storage module, the registration and login module, the parking space management module and the parking space prediction module, and the data storage module is in communication connection with the management and maintenance module.
Further, before the parking space searching signal is sent, the user's arrearage bill needs to be paid.
Further, the parking space control unit comprises an image acquisition unit, a display screen and an intelligent barrier.
The above formulas are all calculated by removing dimensions and taking values thereof, the formula is one closest to the real situation obtained by collecting a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The working principle of the invention is as follows:
a user sends verification information to a registration login module through an intelligent terminal; connecting a database of a third party platform through a processor; searching in a database through the user name and the user address to obtain a search result, and marking the search result as SJ; when the search result SJ is equal to 0, consistency analysis is carried out on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, a license plate number error signal is sent to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a temporary user, and generating a temporary account; when the search result SJ is 1, carrying out consistency analysis on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, sending a license plate number error signal to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a campus user, and generating a campus account;
the parking record of the user is obtained through a data storage module; the parking records comprise total parking times, total parking duration and total arrearage times, and the total parking times, the total parking duration and the total arrearage times are respectively marked as YTZ, YTS and YQZ; when the parking times YTZ meet 0-YTZ-L1, judging that the parking times of the user do not meet the requirements, and not calculating the parking credit of the user; when the total number of parking times YTZ meets L1< YTZ, a parking credit evaluation coefficient TXPX is obtained; when the parking reputation evaluation coefficient TXPX meets the condition that L3 is not more than TXPX, judging that the parking reputation of the user is excellent, marking the parking reputation grade of the user as a first grade, when the parking reputation evaluation coefficient TXPX meets the condition that L2< TXPX is not more than L3, judging that the parking reputation of the user is medium, marking the parking reputation grade of the user as a second grade, when the parking reputation evaluation coefficient TXPX meets the condition that TXPX is not less than 0 and is not more than L2, judging that the parking reputation of the user is bad, and marking the parking reputation grade of the user as a third grade; integrating the users of the first level to generate a user white list, and integrating the users of the second level to generate a user yellow list; integrating the users of the third level to generate a user blacklist;
acquiring historical data of the park through a data storage module; randomly selecting a training set, a verification set and a test set from the park historical data according to a set proportion; constructing a neural network model; training the neural network model through a training set, a verification set and a test set, and judging that the training of the neural network model is successful and marking the neural network model as a prediction model when the learning precision and the learning times of the neural network model meet the requirements; acquiring future data of the park; inputting future data of the park into a prediction model to obtain the predicted parking space residual amount; integrating the predicted parking space residual amounts of all parks, and sending the parking space residual amounts to a processor according to a preset period;
when a vehicle arrives at the door of the intelligent park i, the license plate number of the vehicle is extracted through the image acquisition unit and is marked as a verification license plate number; acquiring the predicted parking space residual amount of the intelligent park i; when the predicted parking space residual amount is smaller than the parking space residual amount threshold value, the intelligent barrier gate is closed, the display screen prompts a user that the residual parking space is 0, and meanwhile, a parking space searching signal is sent to the parking space searching unit; otherwise, acquiring a user corresponding to the verification license plate number, and controlling the intelligent barrier gate to be opened when the user credit rating is a first rating; when the user credit level is the second level and the user is a park user, controlling the intelligent barrier to be opened; when the credit level of the user is the second level and the user is a temporary user, acquiring a arrearage bill of the user, and controlling the intelligent barrier gate to be opened after the user pays the arrearage bill in full amount; when the credit level of the user is a third level and the user is a park user, acquiring a arrearage bill of the user, and controlling the intelligent barrier to be opened after the user pays the arrearage bill in full; and when the user reputation level is a third level and the user is a temporary user, forbidding the user from entering.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. An intelligent park parking management system based on the Internet is characterized by comprising a processor, a credit analysis module, a management and maintenance module, a data storage module, a registration and login module, a parking space management module and a parking space prediction module;
numbering the smart campus as i, i ═ 1, 2, … …, n; wherein n is a positive integer;
the parking space management module comprises a parking space searching unit and a parking space control unit; the parking space searching unit is used for searching parking spaces for temporary users; parking stall the control unit is used for controlling the business turn over of interim user and garden user, includes:
when a vehicle arrives at the door of the intelligent park i, the license plate number of the vehicle is extracted through the image acquisition unit and is marked as a verification license plate number; the image acquisition unit comprises a high-definition camera and an action holder;
acquiring the predicted parking space residual amount of the intelligent park i; when the predicted parking space residual amount is smaller than the parking space residual amount threshold value, the intelligent barrier gate is closed, the display screen prompts a user that the residual parking space is 0, and meanwhile, a parking space searching signal is sent to the parking space searching unit; otherwise, acquiring a user corresponding to the verification license plate number, and controlling the intelligent barrier gate to be opened when the user credit rating is a first rating; when the user credit level is the second level and the user is a park user, controlling the intelligent barrier to be opened; when the credit level of the user is the second level and the user is a temporary user, acquiring a arrearage bill of the user, and controlling the intelligent barrier gate to be opened after the user pays the arrearage bill in full amount; when the credit level of the user is a third level and the user is a park user, acquiring a arrearage bill of the user, and controlling the intelligent barrier to be opened after the user pays the arrearage bill in full; when the user reputation level is a third level and the user is a temporary user, forbidding the user to enter; the reputation levels include a first level, a second level, and a third level.
2. The intelligent park parking management system based on internet as claimed in claim 1, wherein the parking space searching unit searches for the parking space for the user after receiving the parking space searching signal, comprising:
after receiving the parking space searching signal, the parking space searching unit acquires the sending position of the parking space searching signal; the sending position comprises the position of the intelligent terminal of the user and the position of the intelligent park i;
a round area is defined by taking the sending position as the circle center and the set value R as the radius, and an intelligent park with the parking space surplus larger than the surplus threshold value in the round area is obtained and marked as a target park; the residual amount threshold is greater than 0;
planning a sending position and a path of a target park through a third party platform; the third party platform comprises a Baidu map and a Gade map;
acquiring the congestion degree and the driving distance of a path, and respectively marking the congestion degree and the driving distance as YTD and XSJ;
acquiring a path evaluation coefficient LPX by a formula LPX ═ β 1 × YTD + β 2 × XSJ; wherein β 1 and β 2 are proportionality coefficients, and β 1 and β 2 are real numbers greater than 0;
selecting a path with the minimum path evaluation coefficient LPX as a target path;
sending the target path to an intelligent terminal of a user through a processor; and simultaneously, sending the target path to a data storage module for storage.
3. The intelligent park parking management system based on internet as claimed in claim 1, wherein the management and maintenance module is used to monitor the communication status between the processor and the credit analysis module, the management and maintenance module, the data storage module, the registration module, the parking space management module and the parking space prediction module, wherein the communication status includes communication interruption, normal communication and poor communication; and when the communication state is communication interruption and poor communication, the management and maintenance module dispatches a worker to carry out maintenance and repair.
4. The intelligent park parking management system based on internet as claimed in claim 1, wherein the parking space prediction module is used for obtaining the predicted parking space surplus of the intelligent park, comprising:
acquiring historical data of the park through a data storage module; the park historical data comprises the number of the park users, weather data and the remaining amount of parking spaces;
randomly selecting a training set, a verification set and a test set from the park historical data according to a set proportion;
constructing a neural network model; the neural network model comprises an error forward propagation neural network and an RBF neural network;
training the neural network model through a training set, a verification set and a test set, and judging that the training of the neural network model is successful and marking the neural network model as a prediction model when the learning precision and the learning times of the neural network model meet the requirements;
acquiring future data of the park; the park future data comprise park user headcount and park future weather data, and the park future weather data are acquired through a weather platform;
inputting future data of the park into a prediction model to obtain the predicted parking space residual amount;
integrating the predicted parking space residual amounts of all parks, and sending the parking space residual amounts to a processor according to a preset period; the preset periods include half an hour, one hour and one day;
and sending the prediction model and the predicted parking space residual amount to a data storage module for storage through a processor.
5. The intelligent park parking management system based on internet as claimed in claim 1, wherein the credit analysis module is used for analyzing the parking credit of the user, comprising:
the parking record of the user is obtained through a data storage module; the parking records comprise total parking times, total parking duration and total arrearage times, and the total parking times, the total parking duration and the total arrearage times are respectively marked as YTZ, YTS and YQZ; the users comprise temporary users and park users;
when the parking times YTZ meet 0-YTZ-L1, judging that the parking times of the user do not meet the requirements, and not calculating the parking credit of the user; when the total number of parking YTZ satisfies L1< YTZ, the parking time is determined by the formula
Obtaining a parking reputation evaluation coefficient TXPX; where L1 is the total number of stops threshold, and L1 ∈ [8,10 ]]Alpha 1 and alpha 2 are proportionality coefficients, and both alpha 1 and alpha 2 are real numbers greater than 0;
when the parking reputation evaluation coefficient TXPX satisfies that L3 is not more than TXPX, judging that the parking reputation of the user is excellent, marking the parking reputation grade of the user as a first grade, when the parking reputation evaluation coefficient TXPX satisfies that L2 is more than TXPX and is not more than L3, judging that the parking reputation of the user is medium, marking the parking reputation grade of the user as a second grade, when the parking reputation evaluation coefficient TXPX satisfies that 0 is not less than TXPX and is not more than L2, judging that the parking reputation of the user is bad, and marking the parking reputation grade of the user as a third grade; wherein L2 and L3 are parking reputation evaluation coefficient threshold values, and L2 is more than or equal to 0 and is more than L3;
integrating the users of the first level to generate a user white list, and integrating the users of the second level to generate a user yellow list; integrating the users of the third level to generate a user blacklist; the user white list, the user yellow list and the user black list all contain verification information of the user;
and sending the user white list, the user yellow list and the user black list to a data storage module for storage through the processor.
6. The internet-based intelligent park parking management system according to claim 1, wherein the login module is configured to complete a login of a user, comprising:
a user sends verification information to a registration login module through an intelligent terminal; the verification information comprises a user name, a user address, a user mobile phone number, an intelligent park number and a user license plate number;
connecting a database of a third party platform through a processor; the third-party platform is a management system of the intelligent park corresponding to the intelligent park number;
searching in a database through the user name and the user address to obtain a search result, and marking the search result as SJ; the value of the search result SJ is 0 and 1, when the search result SJ is 0, the result is not searched in the database, and when the search result SJ is 1, the result is searched in the database;
when the search result SJ is equal to 0, consistency analysis is carried out on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, a license plate number error signal is sent to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a temporary user, and generating a temporary account;
when the search result SJ is 1, carrying out consistency analysis on the name of the user and the license plate number of the user, and when the license plate number of the user is not under the name of the user, sending a license plate number error signal to the intelligent terminal of the user through the registration login module; when the license plate number of the user is under the name of the user name, judging that the verification information is successfully verified, marking the user as a campus user, and generating a campus account;
and respectively sending the temporary account and the park account to a data storage module and an intelligent terminal of a user through a processor.
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