Parking lot management system and method based on Internet of Things platform

Abstract

The invention discloses a parking lot management system and method based on an Internet of Things platform, and relates to the field of parking lot management, and the method comprises the following steps: collecting parking stall attribute data information and user parking data information, obtaining parking stall split data, carrying out the re-division processing of the parking stall split data, and obtaining parking stall re-split data; performing dialysis processing on the user parking data information to obtain parking analysis data, performing stage analysis on the historical parking data information to obtain a historical parking interval and a historical parking interval boundary, and obtaining a predicted parking interval and a predicted parking interval boundary; parking time is judged according to the predicted parking interval and the predicted parking interval boundary, and a user parking boundary value is obtained; according to the user parking boundary value, the parking analysis data and the parking space re-split data, the parking ratio data is obtained, and parking traffic scheme planning is performed according to the user positioning information and the parking ratio data, so that the user parking efficiency and the traffic management convenience are improved, and the parking space resource utilization rate of the parking lot is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of parking lot management, and particularly relates to a parking lot management system and method based on an Internet of Things platform. BACKGROUND

[0002] With the acceleration of urbanization, the problem of parking difficulty is increasingly prominent, in order to solve this problem, we can start from improving the utilization rate of parking lots, optimizing the parking process and other aspects, under this background, the Internet of Things technology emerges as the times require; The traditional parking lot management mode mainly relies on manual management, for example, the toll collector charges the vehicles one by one, manually records the license plate information, etc., this mode is low in efficiency, prone to human error, the related information of the empty parking space cannot be obtained in time, the vehicle identification error and other problems, and the parking space is difficult to find, therefore, the present application provides a parking lot management system and method based on an Internet of Things platform. SUMMARY

[0003] In order to solve the above technical problems, the purpose of the present application is to provide a parking lot management method based on an Internet of Things platform, comprising the following steps: Step S1: setting a traffic data terminal, collecting parking space attribute data information and user parking data information, performing state processing on the parking space attribute data information, obtaining parking space state data of the parking space attribute data information, performing re-division processing on the parking space state data, obtaining parking space re-division data, and storing the parking space re-division data to the Internet of Things platform; Step S2: performing analysis processing on the user parking data information, obtaining parking analysis data, obtaining historical parking data information, performing stage analysis on the historical parking data information, obtaining historical parking interval and historical parking interval boundary, and predicting according to the historical parking interval and the historical parking interval boundary, obtaining predicted parking interval and predicted parking interval boundary; Step S3: setting a parking planning management center, obtaining the predicted parking interval and the predicted parking interval boundary, judging the parking time of the user according to the predicted parking interval and the predicted parking interval boundary, and obtaining the user parking boundary value; Step S4: obtaining parking space data according to the user parking boundary value, the parking analysis data and the parking space re-division data, obtaining user positioning information, planning a parking traffic scheme according to the user positioning information and the parking space data, obtaining a parking traffic planning scheme, and regulating and controlling the user parking according to the obtained parking space data and the parking planning scheme, to complete the parking traffic control.

[0004] Further, the process of setting a traffic data terminal, collecting parking space attribute data information and user parking data information, and performing state processing on the parking space attribute data information comprises: The parking lot attribute data information comprises parking lot data information and parking space data information; the parking lot data information comprises parking lot positioning information and parking lot quantity; and the parking space data information comprises parking space positioning information, parking space quantity, parking space type and parking space layout; The user parking data information comprises parking location information, parking time, vehicle type, vehicle size and license plate information; According to the parking space positioning information in the parking space data information and the parking lot positioning information in the parking lot data information, a matching relationship between the parking lot and all parking spaces in the parking lot is obtained; according to the matching relationship, the parking space quantity, the parking space type and the parking space layout, parking space grid data is obtained; according to the parking space grid data and the matching relationship, a parking lot layout diagram is generated; and according to the parking lot layout diagrams of all parking lots and the corresponding parking lot positioning information, parking space attribute data is obtained.

[0005] Further, the process of re-dividing the parking space attribute data to obtain parking space re-attribute data and storing the parking space re-attribute data to the Internet of Things platform comprises: The parking lot positioning information corresponding to each parking lot layout diagram in the parking space attribute data is obtained, all parking lot layout diagrams are randomly numbered to obtain parking lot numbers; each parking space in the parking lot is randomly numbered, the corresponding parking lot number and parking space number are obtained according to the parking lot positioning information and the parking space positioning information of the parking space, the parking space number is obtained according to the parking lot number and the parking space number, the parking space traversal information is obtained according to the parking lot positioning information, the parking space positioning information and the parking space grid data corresponding to the parking space, and the parking space re-attribute data is obtained according to the parking space traversal information and the parking space number.

[0006] Further, the process of analyzing the user parking data information to obtain parking analysis data, obtaining historical parking data information, performing stage analysis on the historical parking data information to obtain historical parking intervals and historical parking interval boundaries, and predicting according to the historical parking intervals and the historical parking interval boundaries to obtain predicted parking intervals and predicted parking interval boundaries comprises: Parking condition data is obtained according to the parking location information, the parking time, the vehicle type and the vehicle size; and the parking analysis data is obtained according to the parking condition data; The historical parking data information comprises historical parking time and historical parking quantity; A statistical period is set; The historical parking distribution value and the historical parking sample value are obtained according to the historical parking data in the statistical period; the historical parking interval and the interval base value are obtained according to the historical parking distribution value and the historical parking sample value; and the historical parking interval boundary and the boundary base value are obtained according to the historical parking quantity in the historical parking interval; According to the historical parking interval and the historical parking interval boundary of each statistical period, a plurality of sets of historical parking interval and historical parking interval boundary are taken as a training set and a test set, and the training set and the test set are input into the parking interval prediction model to train the parking interval prediction model, obtain the trained parking interval prediction model, and output the corresponding predicted parking interval and predicted parking interval boundary; According to the predicted parking interval and the corresponding predicted parking interval boundary obtained by the parking interval prediction model, the predicted parking interval and the predicted parking interval boundary are respectively divided into intervals and grades, and the predicted interval base value and the predicted boundary base value are respectively obtained.

[0007] Further, the predicted parking interval and the predicted parking interval boundary are obtained, the parking time of the user is judged according to the predicted parking interval and the predicted parking interval boundary, and the process of obtaining the user parking boundary value includes: According to the parking time of the user and the predicted parking interval, the predicted parking interval in which the parking time of the user is located is obtained, which is recorded as the user parking interval, and the predicted parking interval boundary corresponding to the predicted parking interval is obtained according to the obtained predicted parking interval, which is recorded as the user parking interval boundary; The predicted interval base value and the predicted boundary base value corresponding to the user parking interval are obtained, and the user parking boundary value is obtained according to the predicted interval base value and the predicted boundary base value.

[0008] Further, according to the user parking boundary value, the parking data and the parking space cracking data, the process of obtaining the parking space data includes: According to the user parking interval and the user parking boundary value, the parking space in the idle state and the corresponding parking space number are obtained; the corresponding parking space cracking data is obtained according to the parking space number, which is recorded as the empty parking space cracking data; the parking condition satisfaction value is set, the parking space matching similarity value is obtained according to the parking data and the empty parking space cracking data; if the parking space matching similarity value is greater than or equal to the parking condition satisfaction value, the parking space data is obtained according to the corresponding parking space number of the empty parking space.

[0009] Further, the user positioning information is obtained, the parking traffic planning scheme is planned according to the user positioning information and the parking space data, the parking traffic planning scheme is obtained, the user parking is regulated according to the obtained parking space data and the parking planning scheme, and the process of completing the parking traffic control includes: The traffic information data corresponding to the parking lot and the parking lot in the user parking interval is acquired, the traffic information data includes traffic flow data and traffic time data, a traffic flow level value is set, the traffic level is acquired according to the traffic flow level value, and the traffic emergency value of each empty parking space is acquired according to the traffic level and the user parking interval value; the parking distance value of each empty parking space is acquired according to the user positioning information and the parking space positioning information; the traffic management value and the user parking space are acquired according to the traffic emergency value and the parking distance value of each empty parking space; The positioning information of the user parking space is acquired, the parking traffic planning scheme is acquired according to the user positioning information and the positioning information of the user parking space, the user parking is regulated and controlled according to the acquired parking space data and the parking planning scheme, and the parking traffic control is completed.

[0010] In another embodiment of the application, the application also discloses a parking lot management system based on an Internet of Things platform, which comprises a management center, the management center is in communication connection with a parking information acquisition module, a parking information analysis module, a parking information processing module and a parking traffic management module; The parking information acquisition module is used for setting a traffic data terminal, acquiring parking attribute data information and user parking data information, performing state processing on the parking attribute data information to acquire parking state data, performing reprocessing on the parking state data to acquire parking restate data, storing the parking restate data to the Internet of Things platform, and acquiring the positioning information of the user parking space. The parking information analysis module is used for performing analysis processing on the user parking data information to acquire parking analysis data, acquiring historical parking data information, performing stage analysis on the historical parking data information to acquire a historical parking interval and a historical parking interval boundary, and performing prediction according to the historical parking interval and the historical parking interval boundary to acquire a predicted parking interval and a predicted parking interval boundary. The parking information processing module is used for setting a parking planning management center, acquiring the predicted parking interval and the predicted parking interval boundary, judging the user parking time according to the predicted parking interval and the predicted parking interval boundary to acquire a user parking interval value. The parking traffic management module is used for acquiring parking space data according to the user parking interval value, the parking analysis data and the parking restate data, acquiring user positioning information, performing parking traffic scheme planning according to the user positioning information and the parking space data to acquire a parking traffic planning scheme, regulating and controlling the user parking according to the acquired parking space data and the parking planning scheme, and completing the parking traffic control.

[0011] Compared with the prior art, the parking lot management method has the beneficial effects that: the parking space attribute data information and the user parking data information are collected, the parking space attribute data information is processed, the findability and simplicity of the parking space related information are improved, the user parking data information is analyzed, the parking analysis data is obtained, the user related information is input, the information search efficiency of the Internet of Things platform is improved, the predicted parking interval and the predicted parking interval boundary are obtained, the traffic condition and the parking condition corresponding to the user parking time are analyzed, the parking planning management center is set, the user parking time is judged according to the predicted parking interval and the predicted parking interval boundary, the empty parking space condition in the user parking time period is predicted, and the user parking efficiency is improved, the parking traffic scheme is planned according to the user positioning information and the parking space data, the parking traffic planning scheme is obtained, the user parking is regulated according to the obtained parking space data and the parking planning scheme, and the parking lot management efficiency is improved. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 A flow chart of a parking lot management method based on an Internet of Things platform is provided for the embodiment of the application.

[0013] Figure 2 A principle diagram of a parking lot management system based on an Internet of Things platform is provided for the embodiment of the application. DETAILED DESCRIPTION

[0014] As shown in Figure 1 A parking lot management method based on an Internet of Things platform includes the following steps: Step S1: a traffic data terminal is set, parking space attribute data information and user parking data information are collected, the parking space attribute data information is processed, parking space attribute data information parking space attribute data is obtained, the parking space attribute data is reprocessed, parking space re-attribute data is obtained, and the parking space re-attribute data is stored in the Internet of Things platform; Step S2: the user parking data information is analyzed, the parking analysis data is obtained, the historical parking data information is obtained, the historical parking data information is analyzed, the historical parking interval and the historical parking interval boundary are obtained, and the historical parking interval and the historical parking interval boundary are predicted, the predicted parking interval and the predicted parking interval boundary are obtained; Step S3: a parking planning management center is set, the predicted parking interval and the predicted parking interval boundary are obtained, the user parking time is judged according to the predicted parking interval and the predicted parking interval boundary, and the user parking boundary value is obtained; Step S4: obtaining parking ratio data according to the user parking boundary value, parking and analysis data, and parking lot re-cracking data, obtaining user positioning information, planning a parking traffic plan according to the user positioning information and the parking ratio data, obtaining a parking traffic planning scheme, regulating and controlling user parking according to the obtained parking ratio data and the parking planning scheme, and completing parking traffic control; It needs to be further explained that, in the specific implementation process, the traffic data end is set, the parking attribute data information and the user parking data information are collected, the parking attribute data information is processed, the parking attribute data information is obtained, the parking attribute data information is re-processed, the parking attribute data information is obtained, and the parking attribute data information is stored in the Internet of Things platform. The process includes: The parking attribute data information includes parking lot data information and parking space data information; the parking lot data information includes parking lot positioning information and parking lot quantity; the parking space data information includes parking space positioning information, parking space quantity, parking space type and parking space layout; The parking space positioning information includes parking space global position information and parking space detailed position information; The parking attribute data information is uploaded to the Internet of Things platform, and the parking state is updated in real time, the parking state includes the use state and the idle state; It needs to be further explained that, in the specific implementation process, the parking space global position information refers to the parking lot positioning information of the parking lot where the parking space is located, the parking space detailed position information refers to the specific position information in the parking lot where the parking space is located, the parking space type includes but is not limited to standard parking space, disabled parking space and electric vehicle charging parking space; the parking space layout includes parking space layout and parking space size; the parking space layout includes but is not limited to horizontal layout and vertical layout, and the parking space size includes parking space length and parking space width; The user parking data information includes parking location information, parking time, vehicle type, vehicle size and license plate information; It needs to be further explained that, in the specific implementation process, the parking location information refers to the user required parking location and the user location; the vehicle type includes but is not limited to commercial vehicle, passenger vehicle, sedan, SUV, fuel vehicle and electric vehicle; the vehicle size includes vehicle maximum width and vehicle maximum length; and the license plate information refers to the license plate number; The parking attribute data information is processed, and the parking attribute data information is obtained; It needs to be further explained that in the specific implementation process, the process of carrying out the state processing on the parking space attribute data information is: matching the parking space positioning information in the parking space data information with the parking lot positioning information in the parking lot data information, one-to-one matching the parking lot and its corresponding parking space, obtaining the matching relationship of the parking lot and all parking spaces in the parking lot, and marking the parking spaces in the parking lot according to the matching relationship, the number of parking spaces, the type of parking spaces and the layout of parking spaces, obtaining the parking space grid data, associating each parking space grid data with its corresponding parking lot according to the parking space grid data and the matching relationship, generating the parking space layout diagram of the parking lot, associating and summarizing the parking space layout diagram of all parking lots with its corresponding parking lot positioning information, and obtaining the parking space state data; The parking space state data is reprocessed to obtain parking space restate data; It needs to be further explained that in the specific implementation process, the process of reprocessing the parking space state data is: obtaining each parking space layout diagram in the parking space state data and its corresponding parking lot positioning information, randomly numbering all parking space layout diagrams to obtain parking lot numbers, and marking the parking lot according to the parking lot number, for example, the parking lot numbered 1 is marked as parking lot A01, the parking lot number is composed of letters and numbers, obtaining each parking space grid data in the parking lot and the corresponding parking space positioning information, randomly numbering each parking space in the parking lot, and marking the parking space according to the parking space number, obtaining the corresponding parking lot number and parking space number according to the parking lot positioning information and parking space positioning information of the parking space, and numbering the parking space according to the parking lot number and parking space number to obtain the parking space number, extracting the key information of the parking space corresponding to the parking lot positioning information, the parking space positioning information and the parking space grid data based on the natural language algorithm to obtain the parking space traversal information, converting the parking space traversal information into binary data, and combining the obtained binary data with the parking space number to obtain the parking space restate data, and storing the obtained parking space restate data to the Internet of Things platform.

[0015] It needs to be further explained that in the specific implementation process, the process of carrying out the state processing on the parking space attribute data information is: matching the parking space positioning information in the parking space data information with the parking lot positioning information in the parking lot data information, one-to-one matching the parking lot and its corresponding parking space, obtaining the matching relationship of the parking lot and all parking spaces in the parking lot, and marking the parking spaces in the parking lot according to the matching relationship, the number of parking spaces, the type of parking spaces and the layout of parking spaces, obtaining the parking space grid data, associating each parking space grid data with its corresponding parking lot according to the parking space grid data and the matching relationship, generating the parking space layout diagram of the parking lot, associating and summarizing the parking space layout diagram of all parking lots with its corresponding parking lot positioning information, and obtaining the parking space state data; Set up an information management library; the information management library is used to input user parking data information and update data information in the information management platform in real time; It needs to be further explained that in the specific implementation process, the information management library is arranged in the Internet of Things platform, and when the user generates a parking demand and logs in the information management platform, the information management platform enters the user parking data information and updates the real-time location information of the user in real time. The user parking data is analyzed, and the analysis refers to extracting and analyzing the key information in the user parking data information; It needs to be further explained that in the specific implementation process, the specific process of the analysis includes: linking the license plate information of the user parking data information with the vehicle type, vehicle size, parking time, and parking location information, extracting the key information of the parking location information, parking time, vehicle type, and vehicle size based on a natural language algorithm, and information aggregation, obtaining parking condition data, and converting the parking condition data into binary data, obtaining parking data, and according to the license plate information linked by the parking data, searching in the information management platform, storing the parking data in the information management platform, and associating the parking data with the corresponding user parking data information; The historical parking data information includes historical parking time and historical parking quantity; A statistical cycle is set; According to the statistical cycle, the historical parking data information is analyzed, the historical parking data in the statistical cycle is calculated by the average value and the variance, respectively, the historical parking distribution value and the historical parking sample value are obtained, the statistical cycle is divided according to the historical parking distribution value and the historical parking sample value, the historical parking interval and the interval base value are obtained, and the historical parking interval is divided according to the total number of historical parking quantity in the historical parking interval, the historical parking interval boundary and the boundary base value are obtained; It needs to be further explained that in the specific implementation process, according to the historical parking distribution value and the historical parking sample value, the statistical cycle is divided, the historical parking interval and the interval base value are obtained, the historical parking quantity corresponding to the historical parking time with the historical parking quantity less than the historical parking distribution value is counted, the historical parking interval one is obtained, the interval base value is one, if the historical parking quantity corresponding to the historical parking time is greater than the historical parking distribution value and less than the historical parking sample value, the historical parking time corresponding to the historical parking quantity greater than the historical parking distribution value and less than the historical parking sample value is counted, the historical parking interval two is obtained, the interval base value is two, and if the historical parking quantity corresponding to the historical parking time is greater than the historical parking sample value, the historical parking time corresponding to the historical parking data greater than the historical parking sample value is counted, the historical parking interval three is obtained, and the interval base value is three; It needs to be further explained that in the specific implementation process, the specific process of classifying the historical parking interval, obtaining the historical parking interval boundary and the boundary base value is as follows: according to the total number of historical parking in the historical parking interval one, the historical parking interval two and the historical parking interval three, the historical parking interval is classified, for example, the total number of historical parking in the historical parking interval is in the order from small to large: historical parking interval one < historical parking interval two < historical parking interval three, the level of historical parking interval one is first level, recorded as historical parking interval one boundary, the boundary base value corresponding to the historical parking interval one boundary is one, the level of historical parking interval two is second level, recorded as historical parking interval two boundary, the boundary base value corresponding to the historical parking interval two boundary is two, the level of historical parking interval three is third level, recorded as historical parking interval three boundary, and the boundary base value corresponding to the historical parking interval three boundary is three; According to the historical parking interval and the historical parking interval boundary of each statistical period, a plurality of sets of historical parking interval and historical parking interval boundary are obtained as a training set and a test set, and the training set and the test set are input into the parking interval prediction model to train the parking interval prediction model, obtain the trained parking interval prediction model, and output the corresponding predicted parking interval and predicted parking interval boundary; According to the predicted parking interval and the corresponding predicted parking interval boundary obtained by the parking interval prediction model, the predicted parking interval and the predicted parking interval boundary are respectively divided and classified, and the predicted base value and the predicted boundary base value are respectively obtained.

[0016] It needs to be further explained that in the specific implementation process, the process of obtaining the predicted parking interval and the predicted parking interval boundary, judging the parking time of the user according to the predicted parking interval and the predicted parking interval boundary, and obtaining the user parking boundary value includes: A parking planning management center is set, and the predicted parking interval and the predicted parking interval boundary are obtained, and the parking planning management center is set in the Internet of Things platform; The parking time of the user is analyzed by the parking planning management center according to the predicted parking interval, the predicted parking interval boundary and the parking time; The parking time of the user is matched and positioned with the predicted parking interval, the time of each predicted parking interval is traversed, the parking time of the user is compared with the time of the predicted parking interval, the predicted parking interval where the parking time of the user is located is obtained, recorded as the user parking interval, and the predicted parking interval boundary corresponding to the predicted parking interval is obtained according to the obtained predicted parking interval, recorded as the user parking interval boundary; The predicted base value and the predicted boundary base value corresponding to the user parking interval are obtained, the predicted base value and the predicted boundary base value are multiplied, the user parking boundary value is obtained, and the user parking boundary value is associated with the user parking interval and the user parking interval boundary.

[0017] It needs to be further explained that, in the specific implementation process, according to the user parking boundary value, the parking data and the parking space cracking data, the parking space data is obtained, the user positioning information is obtained, the parking traffic planning scheme is planned according to the user positioning information and the parking space data, the parking traffic planning scheme is obtained, the user parking is regulated according to the obtained parking space data and the parking planning scheme, and the process of parking traffic control includes: The user parking interval corresponding to the user parking boundary value is obtained, and the parking planning management center obtains the user parking interval, and according to the user parking interval and the user parking boundary value, the parking space in the idle state and the corresponding parking space number are obtained; According to the parking space number, the corresponding parking space cracking data is obtained, which is recorded as the empty parking space cracking data; The parking data and the empty parking space cracking data are matched with the parking condition, and the parking space data is obtained; It needs to be further explained that, in the specific implementation process, the specific process of matching the parking data with the empty parking space cracking data for parking condition is: setting the parking condition satisfaction value, matching the parking data with the empty parking space cracking data for similarity information, obtaining the parking space matching similarity value, if the parking space matching similarity value is less than the parking condition satisfaction value, the empty parking space matching fails, if the parking space matching similarity value is greater than or equal to the parking condition satisfaction value, the empty parking space matching succeeds, and the parking space number of the corresponding empty parking space is obtained, and the obtained parking space number is summarized to obtain the parking space data; The parking planning management center obtains the parking lot corresponding to the parking space data and the traffic information data of the parking lot in the user parking interval according to the user parking interval and the parking space data, and evaluates the traffic parking situation according to the user parking boundary value and the traffic information data, and obtains the traffic emergency value; It needs to be further explained that, in the specific implementation process, the specific process of evaluating the traffic parking situation according to the user parking boundary value and the traffic information data is: the traffic information data includes traffic flow data and traffic time data, setting the traffic flow level value, dividing the traffic information data of the parking lot according to the traffic flow level value, obtaining the traffic level, and multiplying the traffic level and the user parking boundary value to obtain the traffic emergency value of each empty parking space; According to the user positioning information and the parking space positioning information, the distance is estimated, and the parking distance value of each empty parking space is obtained; The traffic emergency value and the parking distance value of each empty parking space are calculated by square sum, and the traffic management value is obtained, and the traffic management value of each empty parking space is sorted, and the minimum value corresponding to the empty parking space is taken, which is recorded as the user parking space; The positioning information of the parking space of the user is acquired, the positioning information of the user and the positioning information of the parking space of the user are navigated by a GPS technology to obtain a parking traffic planning scheme, the parking of the user is regulated according to the obtained parking data and the parking planning scheme, and the parking traffic control is completed.

[0018] As shown in Figure 2 In another embodiment of the present application, the present application further discloses a parking lot management system based on an Internet of Things platform, comprising a management center, wherein the management center is in communication connection with a parking information acquisition module, a parking information analysis module, a parking information processing module and a parking traffic management module. The parking information acquisition module is configured to set a traffic data terminal, acquire parking attribute data information and user parking data information, perform state processing on the parking attribute data information to obtain parking state data of the parking attribute data information, perform reprocessing on the parking state data to obtain parking restate data, store the parking restate data to the Internet of Things platform, and acquire historical parking data information. The parking information analysis module is configured to perform analysis processing on the user parking data information to obtain analysis data, acquire historical parking data information, perform stage analysis on the historical parking data information to obtain historical parking intervals and historical parking interval boundaries, and perform prediction according to the historical parking intervals and the historical parking interval boundaries to obtain predicted parking intervals and predicted parking interval boundaries. The parking information processing module is configured to set a parking planning management center, acquire the predicted parking intervals and the predicted parking interval boundaries, judge the parking time of the user according to the predicted parking intervals and the predicted parking interval boundaries to obtain a user parking threshold value. The parking traffic management module is configured to acquire parking data according to the user parking threshold value, the analysis data and the parking restate data, acquire user positioning information, perform parking traffic scheme planning according to the user positioning information and the parking data to obtain a parking traffic planning scheme, regulate the parking of the user according to the obtained parking data and the parking planning scheme, and complete the parking traffic control.

[0019] The above embodiments are only used to illustrate the technical method of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A parking lot management method based on an Internet of Things platform, characterized by, The method comprises the following steps: Step S1: setting a traffic data terminal, collecting parking space attribute data information and user parking data information, performing state processing on the parking space attribute data information to obtain parking space state data, performing reprocessing on the parking space state data to obtain parking space restate data, and storing the parking space restate data to an Internet of Things platform; Step S2: performing analysis processing on the user parking data information to obtain parking analysis data, obtaining historical parking data information, performing stage analysis on the historical parking data information to obtain historical parking intervals and historical parking interval boundaries, and performing prediction according to the historical parking intervals and the historical parking interval boundaries to obtain predicted parking intervals and predicted parking interval boundaries; Step S3: setting a parking planning management center, obtaining the predicted parking intervals and the predicted parking interval boundaries, judging the parking time of a user according to the predicted parking intervals and the predicted parking interval boundaries to obtain a user parking boundary value; Step S4: obtaining parking ratio data according to the user parking boundary value, the parking analysis data and the parking space restate data, obtaining user positioning information, performing parking traffic scheme planning according to the user positioning information and the parking ratio data to obtain a parking traffic planning scheme, and performing regulation and control on user parking according to the obtained parking ratio data and the parking planning scheme to complete parking traffic control. 2.The parking lot management method based on the Internet of Things platform of claim 1, wherein, The process of setting a traffic data terminal, collecting parking space attribute data information and user parking data information, and performing state processing on the parking space attribute data information comprises: The parking space attribute data information comprises parking lot data information and parking space data information; the parking lot data information comprises parking lot positioning information and a number of parking lots; and the parking space data information comprises parking space positioning information, a number of parking spaces, a type of parking spaces and a layout of parking spaces. The user parking data information comprises parking position information, parking time, a type of vehicles, a size of vehicles and license plate information. According to the parking space positioning information in the parking space data information and the parking lot positioning information in the parking lot data information, a matching relationship between a parking lot and all parking spaces in the parking lot is obtained; according to the matching relationship, the number of parking spaces, the type of parking spaces and the layout of parking spaces, parking space grid data is obtained; according to the parking space grid data and the matching relationship, a parking space layout diagram of the parking lot is generated; and according to the parking space layout diagram of all parking lots and the corresponding parking lot positioning information, parking space state data is obtained. 3.The parking lot management method based on the Internet of Things platform of claim 2, wherein, The process of performing reprocessing on the parking space state data to obtain parking space restate data, and storing the parking space restate data to an Internet of Things platform comprises: Each parking space layout diagram in the parking space state data and the corresponding parking lot positioning information are obtained, all parking space layout diagrams are randomly numbered to obtain parking lot numbers, each parking space in a parking lot is randomly numbered, the corresponding parking lot number and parking space number are obtained according to the parking lot positioning information and the parking space positioning information of the parking space, the parking space number is obtained according to the parking lot number and the parking space number, the parking space traversal information is obtained according to the corresponding parking lot positioning information, the parking space positioning information and the parking space grid data of the parking space, and the parking space restate data is obtained according to the parking space traversal information and the parking space number.

4. The parking lot management method based on the Internet of Things platform according to claim 3, characterized in that, The process of obtaining parking data, obtaining historical parking data information, performing stage analysis on the historical parking data information, obtaining historical parking intervals and historical parking interval boundaries, and predicting according to the historical parking intervals and the historical parking interval boundaries to obtain predicted parking intervals and predicted parking interval boundaries includes: According to the parking position information, the parking time, the vehicle type, and the vehicle size, obtain parking condition data; according to the parking condition data, obtain parking data; The historical parking data information includes historical parking time and historical parking quantity; Set a statistical period; According to the historical parking data in the statistical period, obtain historical parking distribution values and historical parking sample values; according to the historical parking distribution values and the historical parking sample values, obtain historical parking intervals and interval base values; and according to the historical parking quantity in the historical parking intervals, obtain historical parking interval boundaries and boundary base values; According to the historical parking intervals and the historical parking interval boundaries of each statistical period, predict, take several groups of historical parking intervals and historical parking interval boundaries as a training set and a test set, input the training set and the test set into a parking interval prediction model, train the parking interval prediction model, obtain the parking interval prediction model after training, and output the corresponding predicted parking intervals and predicted parking interval boundaries; According to each predicted parking interval and the corresponding predicted parking interval boundary obtained by the parking interval prediction model, perform interval division and grade division on the predicted parking interval and the predicted parking interval boundary respectively, and obtain predicted interval base values and predicted boundary base values respectively. 5.The parking lot management method based on the Internet of Things platform of claim 4, wherein, The process of obtaining predicted parking intervals and predicted parking interval boundaries, judging the parking time of the user according to the predicted parking intervals and the predicted parking interval boundaries, and obtaining user parking boundary values includes: According to the parking time of the user and the predicted parking interval, obtain the predicted parking interval in which the parking time of the user is located, denoted as the user parking interval, and obtain the predicted parking interval boundary corresponding to the predicted parking interval, denoted as the user parking interval boundary; Obtain the predicted interval base value and the predicted boundary base value corresponding to the user parking interval, and obtain the user parking boundary value according to the predicted interval base value and the predicted boundary base value. 6.The parking lot management method based on the Internet of Things platform of claim 5, wherein, The process of obtaining parking data according to the user parking boundary value, the parking data, and the parking space cracking data includes: According to the user parking interval and the user parking boundary value, obtain the parking space in the idle state and the corresponding parking space number; according to the parking space number, obtain the corresponding parking space cracking data, denoted as the empty parking space cracking data; set a parking condition satisfaction value, obtain a parking space matching similarity value according to the parking data and the empty parking space cracking data; if the parking space matching similarity value is greater than or equal to the parking condition satisfaction value, obtain the parking space data according to the corresponding parking space number of the empty parking space. 7.The parking lot management method based on the Internet of Things platform of claim 6, wherein, The process of obtaining user positioning information, planning a parking traffic scheme according to the user positioning information and the parking space data, obtaining a parking traffic planning scheme, regulating and controlling the parking of the user according to the obtained parking space data and the parking planning scheme, and completing the parking traffic control includes: The traffic information data corresponding to the parking lot corresponding to the parking space and the parking space in the user parking interval is obtained, the traffic information data includes traffic flow data and traffic time data, a traffic flow level value is set, the traffic level is obtained according to the traffic flow level value, and the traffic emergency value of each empty parking space is obtained according to the traffic level and the user parking interval value; the parking distance value of each empty parking space is obtained according to the user positioning information and the parking space positioning information; the traffic management value and the user parking space are obtained according to the traffic emergency value and the parking distance value of each empty parking space; The positioning information of the user parking space is obtained, the parking traffic planning scheme is obtained according to the user positioning information and the positioning information of the user parking space, the user parking is regulated and controlled according to the obtained parking space data and the parking planning scheme, and the parking traffic control is completed.

8. A parking lot management system based on an Internet of Things platform, in particular applied to the parking lot management method based on the Internet of Things platform in any one of claims 1 to 7, comprising a management center, characterized in that, The management center is communicated with a parking information collection module, a parking information analysis module, a parking information processing module and a parking traffic management module: The parking information collection module is used for setting a traffic data terminal, collecting parking attribute data information and user parking data information, performing state processing on the parking attribute data information to obtain parking attribute data information, performing reprocessing on the parking attribute data information to obtain parking reprocessing data, and storing the parking reprocessing data to an Internet of Things platform; The parking information analysis module is used for performing analysis processing on the user parking data information to obtain parking analysis data, obtaining historical parking data information, performing stage analysis on the historical parking data information to obtain historical parking intervals and historical parking interval boundaries, and predicting the historical parking intervals and the historical parking interval boundaries to obtain predicted parking intervals and predicted parking interval boundaries; The parking information processing module is used for setting a parking planning management center, obtaining the predicted parking intervals and the predicted parking interval boundaries, judging the user parking time according to the predicted parking intervals and the predicted parking interval boundaries, and obtaining the user parking interval value; The parking traffic management module is used for obtaining parking space data according to the user parking interval value, the parking analysis data and the parking reprocessing data, obtaining user positioning information, planning a parking traffic scheme according to the user positioning information and the parking space data, obtaining a parking traffic planning scheme, regulating and controlling the user parking according to the obtained parking space data and the parking planning scheme, and completing the parking traffic control.

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