A parking space digital management method and system

Abstract

The application provides a parking space digital management method and system, comprising the following steps: acquiring the historical parking time period of long-term rental vehicles and the idle parking spaces of long-term rental areas of a target parking lot in real time, and planning a first temporary parking area of the long-term rental area in real time; capturing the license plate numbers of vehicles to be entered into the parking lot and the license plate numbers of vehicles having entered the parking lot in real time, determining the temporary parking type corresponding to the entering probability and the entering frequency; judging whether the first temporary parking area meets the parking standard at the corresponding moment; if the standard is not met, adjusting the first temporary parking area based on the entering probability and the entering frequency, planning a second temporary parking area, and continuing to judge; if the standard is still not met, sending a temporary parking failure reminder. By calling the idle long-term rental parking spaces, the number of temporary parking spaces is increased, and the utilization rate of parking resources is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital management, in particular to a parking space digital management method and system. BACKGROUND

[0002] At present, with the development of science and technology, cars have become necessities in people's lives. With the development of new energy vehicles and automatic driving technology, the design of the parking lot cannot meet people's needs. It is difficult to find a parking space, queue to enter the parking lot, park the car, pay the fee, and a series of parking problems have become a common problem in many cities. To solve the parking problem, the parking management service needs to be changed from manual to digital.

[0003] Therefore, the present application provides a parking space digital management method and system. SUMMARY

[0004] The present application provides a parking space digital management method and system. By analyzing the idle time period of the long-term rental area of the long-term rental vehicle, a first temporary parking area is obtained. By analyzing the entering probability and entering frequency corresponding to the temporary parking type, it is judged whether the first temporary parking area meets the parking standard. If not, a new temporary parking area is obtained by continuous adjustment, and the idle long-term rental parking space is called. The digital management of the parking space is realized, the temporary parking parking space is increased, and the utilization rate of parking resources is improved.

[0005] The present application provides a parking space digital management method, comprising:

[0006] Step 1: Real-time acquisition of the historical parking time period of the long-term rental vehicle of the target parking lot and the idle parking space of the long-term rental area, real-time planning of the first temporary parking area of the long-term rental area;

[0007] Step 2: Real-time capture of the vehicle license plate to be entered into the parking lot and the vehicle license plate that has entered the parking lot, determination of the entering probability and entering frequency corresponding to the temporary parking type;

[0008] Step 3: Based on the entering probability and entering frequency, it is judged whether the first temporary parking area planned at the corresponding time meets the parking standard;

[0009] If it meets, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate;

[0010] Step 4: If the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and entering frequency, a second temporary parking area is planned, and the judgment is continued;

[0011] If it still does not meet, a temporary parking reminder is sent to the user account bound to the corresponding vehicle license plate.

[0012] Preferably, the application provides a parking space digital management method, which acquires the historical parking time period of long-term rental vehicles in the target parking lot and the idle parking space in the long-term rental area in real time, plans a first temporary parking area in the long-term rental area in real time, and comprises the following steps.

[0013] Acquire the list of long-term rental vehicles in the target parking lot to obtain the corresponding historical parking time period of the long-term rental vehicles.

[0014] Real-time monitor the gravity data received by the gravity sensor in the long-term rental area, and if the gravity data is less than or equal to the preset reasonable weight, determine that the corresponding parking space is an idle parking space.

[0015] Acquire the historical parking time period corresponding to the vehicle license plate bound to the idle parking space to obtain the corresponding idle time period.

[0016] Extract the first temporary parking space with an idle time period greater than a preset time period, and combine the idle time period to construct a first temporary parking area.

[0017] Preferably, the application provides a parking space digital management method, which captures the vehicle license plate of a vehicle to be entered into a parking lot and the vehicle license plate of a vehicle having entered the parking lot in real time, determines the entering probability and entering frequency corresponding to a temporary parking type, and comprises the following steps.

[0018] According to the vehicle license plate recognition result, acquire the first vehicle quantity around the target parking lot and the second vehicle quantity entering the target parking lot at each time, and take the second vehicle quantity as the entering frequency.

[0019] According to the first vehicle quantity and the second vehicle quantity at each time within a preset time period, obtain the entering probability.

[0020] Preferably, the application provides a parking space digital management method, which judges whether the planned first temporary parking area at the corresponding time meets the parking standard based on the entering probability and the entering frequency, and comprises the following steps.

[0021] Acquire the commercial type around the parking lot to obtain the flow concentration time period of each commercial type, and acquire the customer flow in the flow concentration time period.

[0022] Acquire the characteristic factor affecting the customer flow, extract the corresponding characteristic field, and obtain the flow value existing in the corresponding characteristic field.

[0023] Based on the flow value of each commercial type and the characteristic field matched with the flow value, construct a corresponding feature matrix, and eliminate the completely same feature matrix.

[0024] Introducing preset dummy variables based on each residual feature matrix, and establishing a mapping relationship of the corresponding residual feature matrix in a high-dimensional space;

[0025] Resequencing the feature fields in the corresponding residual feature matrix based on the mapping relationship, to obtain a new feature matrix;

[0026] Based on the number of feature fields in the first matrix with the largest number of feature fields in the new feature matrix as the reference number, calculating the feature difference value of the number of feature fields in the remaining new feature matrix and the reference number;

[0027] If the feature difference value is not equal to 0, then performing field identity checking on all feature fields in the second matrix with the number of feature fields less than the reference number and the feature fields in the first matrix;

[0028] Based on the field identity checking, obtaining the missing fields in the second matrix;

[0029] Based on the type of missing fields, supplementing the corresponding normal feature fields to the second matrix to make the number of feature fields the same as the reference number;

[0030] Based on the same type of feature fields in the first matrix, performing control variable analysis on the supplemented feature matrix to obtain the feature flow value of each type of feature field in the supplemented feature matrix that affects customer flow;

[0031] Inputting the feature flow value in the supplemented feature matrix and the flow value corresponding to the feature field in the feature matrix that does not need to be supplemented into a flow value analysis model to obtain the influence weight of each feature field;

[0032] Based on the entering probability, entering frequency, and influence weight of each feature field, real-time prediction of the number of vehicles parked;

[0033] Calculating the first difference value of the real-time predicted number of vehicles parked and the temporary parking area, and if the first difference value is greater than 0, calculating the second difference value of the first difference value and the number of parking spaces in the first temporary parking area;

[0034] If the second difference value is greater than 0, the first temporary parking area does not meet the parking standard;

[0035] If the second difference value is less than or equal to 0, combining the second difference value and the stay duration ratio of each business type for analysis to obtain the first parking duration distribution;

[0036] If the first parking duration distribution matches the idle time period of each parking space in the first temporary parking area, it is determined that the first temporary parking area meets the parking standard.

[0037] Preferably, the application provides a parking space digital management method, based on the entering probability, the entering frequency and the influence weight of each feature field, the real-time prediction of the number of vehicles parked, comprising:

[0038]

[0039] Wherein, S represents the real-time prediction of the number of vehicles parked; n represents the number of feature fields in the feature matrix corresponding to the real-time surrounding business situation; μ i represents the influence weight corresponding to the i-th feature field; a represents the average customer flow under the balanced influence of each feature field in the normal situation; b i represents the flow change value under the influence of the i-th feature field in the corresponding feature matrix; q represents the entering frequency corresponding to the temporary parking type.

[0040] Preferably, the application provides a parking space digital management method, if the parking standard is met, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate, comprising:

[0041] Based on the first temporary parking area and the parking lot entrance position, a parking route map is sent to the user account bound to the corresponding vehicle license plate, and a message is sent to the user.

[0042] Preferably, the application provides a parking space digital management method, if the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and the entering frequency, a second temporary parking area is planned, and the judgment is continued, comprising:

[0043] Real-time monitoring of long-term vehicle exit, extracting the idle time period of the long-term vehicle exiting;

[0044] Calculating the time difference between this time and the maximum time of the idle time period, if the time difference is greater than three hours, the parking space corresponding to the vehicle license plate of the long-term vehicle exiting is used as the second temporary parking space;

[0045] All second temporary parking spaces are supplemented into the first temporary parking area to obtain the second temporary parking area.

[0046] Preferably, the application provides a parking space digital management method, if it is still not met, a temporary parking reminder is sent to the user account bound to the corresponding vehicle license plate, comprising:

[0047] If the second temporary parking area still does not meet the parking standard, the number of parking spaces in the second temporary parking area is sent to the background;

[0048] If the number of temporary parking type vehicles entering the parking lot is equal to the number of parking spaces in the second temporary parking area, a temporary parking unavailable reminder is sent to the user account bound to the corresponding vehicle license plate, and the entrance is rejected for the temporary vehicle.

[0049] The application provides a parking space digital management system, comprising:

[0050] The first planning module: real-time acquisition of the historical parking time period of long-term rental vehicles in the target parking lot and the idle parking spaces in the long-term rental area, real-time planning of the first temporary parking area in the long-term rental area;

[0051] The calculation module: real-time capture of the vehicle license plate of the vehicle to be entered into the parking lot and the vehicle license plate of the vehicle having entered the parking lot, determination of the entering probability and entering frequency corresponding to the temporary parking type;

[0052] The first judgment module: based on the entering probability and entering frequency, judgment of whether the planned first temporary parking area meets the parking standard at the corresponding time;

[0053] If yes, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate;

[0054] The second judgment module: if the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and entering frequency, a second temporary parking area is planned, and the judgment is continued;

[0055] If not, a temporary parking unavailable reminder is sent to the user account bound to the corresponding vehicle license plate.

[0056] Other features and advantages of the application will be described in the following description, and some will become apparent from the description, or will be understood by those skilled in the art from the description. The purpose and other advantages of the application can be achieved and obtained by the structure specifically pointed out in the written description, claims, and drawings.

[0057] The technical solutions of the application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0058] The accompanying drawings are used to provide a further understanding of the application, and constitute a part of the specification, together with the embodiments of the application, to explain the application, and do not constitute a limitation on the application. In the drawings:

[0059] Figure 1 It is a flowchart of a parking space digital management method in an embodiment of the application;

[0060] Figure 2 It is a structural diagram of a parking space digital management system in an embodiment of the application. DETAILED DESCRIPTION

[0061] The preferred embodiments of the present application will be described herein below with reference to the accompanying drawings, in which it should be understood that the preferred embodiments described herein are intended for the purpose of explanation only and are not intended to limit the present application, in which:

[0062] Embodiment 1:

[0063] The embodiment of the present application provides a parking space digital management method, as shown in the figure, which comprises: Figure 1

[0064] Step 1: Real-time acquisition of the historical parking time period of the long-term vehicle in the target parking lot and the idle parking space in the long-term area, real-time planning of the first temporary parking area in the long-term area;

[0065] Step 2: Real-time capture of the vehicle license plate to be entered into the parking lot and the vehicle license plate that has entered the parking lot, determination of the temporary parking type corresponding to the entering probability and the entering frequency;

[0066] Step 3: Based on the entering probability and the entering frequency, it is judged whether the first temporary parking area planned at the corresponding time meets the parking standard;

[0067] If it meets, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate;

[0068] Step 4: If the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and the entering frequency, a second temporary parking area is planned, and the judgment is continued;

[0069] If it still does not meet, a temporary parking reminder is sent to the user account bound to the corresponding vehicle license plate.

[0070] In this embodiment, the long-term vehicle refers to the monthly or annual rental vehicle input into the system.

[0071] In this embodiment, the historical parking time period refers to the time period between the historical time point of entering the parking lot and the corresponding historical time point of leaving the parking lot.

[0072] In this embodiment, the long-term area refers to a long-term parking area specially planned for long-term vehicles in the target parking lot.

[0073] In this embodiment, the first temporary parking area refers to a temporary vehicle parking area in which the parking space will be idle in the next peak period based on the analysis of the idle time period of the vehicle corresponding to the idle parking space in the long-term vehicle.

[0074] ​In this embodiment, the temporary parking type refers to the type of vehicle license plate recognition non-long-term vehicle when entering the target parking lot.

[0075] In this embodiment, the parking standard refers to the parking standard of the number and duration of temporary parking types that can meet the peak period prediction.

[0076] In this embodiment, the second temporary parking area refers to the supplement of the first temporary parking area, and the idle parking space corresponding to the long-term vehicle just out of the parking lot is supplemented into the temporary parking area.

[0077] The working principle and beneficial effects of the above technical solution are: by analyzing the idle time period of the long-term vehicle in the long-term area, the first temporary parking area is obtained, and by analyzing the corresponding entry probability and entry frequency of the temporary parking type, it is judged whether the first temporary parking area meets the parking standard, and if not, a new temporary parking area is obtained. Adjust and call the idle long-term parking space to realize the digital management of the parking space, increase the temporary parking space, and improve the utilization rate of parking resources.

[0078] Embodiment 2:

[0079] The embodiment of the application provides a parking space digital management method, which obtains the historical parking time period of long-term vehicles in a target parking lot and the idle parking space of a long-term area in real time, plans a first temporary parking area of the long-term area in real time, and comprises the following steps:

[0080] Obtain a long-term vehicle list of the target parking lot to obtain the historical parking time period corresponding to the long-term vehicle;

[0081] Real-time monitoring of the gravity data received by the gravity sensor of the long-term area, if the gravity data is less than or equal to the preset reasonable weight, it is determined that the corresponding parking space is an idle parking space;

[0082] Obtain the historical parking time period corresponding to the vehicle license plate bound to the idle parking space to obtain the corresponding idle time period;

[0083] Extract the first temporary parking space with an idle time period greater than a preset time period, and combine the idle time period to construct the first temporary parking area.

[0084] In this embodiment, the long-term vehicle list refers to a list containing long-term vehicle information, including: vehicle license plate, long-term time, expiration time, and parking space code.

[0085] In this embodiment, the gravity sensor refers to a cantilever type displacement sensor made of an elastic sensitive element, and a storage spring made of an elastic sensitive element is used to drive an electric contact to complete the conversion of gravity change to electric signal, so as to achieve the purpose of obtaining the gravity information of each parking space.

[0086] In this embodiment, the preset reasonable weight refers to a preset reasonable weight of a non-vehicle, so as to achieve the purpose of distinguishing vehicles and non-vehicles.

[0087] In this embodiment, the idle parking space refers to a parking space in which no vehicle is detected in real time.

[0088] In this embodiment, the idle time period refers to a time period in which the parking space is idle, obtained by analyzing the historical parking time period of the corresponding vehicle license plate.

[0089] In this embodiment, the preset time period refers to a required idle time period preset based on the prediction of the parking duration of the temporary parking type.

[0090] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the historical parking time period of the long-term vehicle and the idle parking space, the first temporary parking space is obtained, the idle long-term parking space is called, and the number of temporary parking spaces is increased, thereby improving the parking capacity of the target parking lot.

[0091] Embodiment 3:

[0092] The embodiment of the application provides a parking space digital management method, which captures the vehicle license plate to be entered into the parking lot and the vehicle license plate that has entered the parking lot in real time, determines the entering probability and entering frequency of the temporary parking type, and comprises the following steps:

[0093] According to the vehicle license plate recognition result, the first vehicle quantity around the target parking lot and the second vehicle quantity entering the target parking lot at each moment are obtained, and the second vehicle quantity is regarded as the entering frequency.

[0094] According to the first vehicle quantity and the second vehicle quantity at each moment in the preset time period, the entering probability is obtained.

[0095] In this embodiment, the first vehicle quantity refers to the number of all vehicles in the environment around the target parking lot.

[0096] In this embodiment, the second vehicle quantity refers to the number of vehicles of the temporary parking type that are identified by the entrance to enter the target parking lot.

[0097] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the vehicle license plate to be entered into the parking lot and the vehicle license plate that has entered the parking lot, the entering probability and entering frequency of the temporary parking type are obtained, so as to achieve the purpose of predicting the number of vehicles of the temporary parking type, and the planning accuracy of the temporary area is improved.

[0098] Embodiment 4:

[0099] The embodiment of the application provides a parking space digital management method, based on the entering probability and the entering frequency, judging whether a first temporary parking area planned at a corresponding moment meets a parking standard, comprising:

[0100] Obtaining a commercial type around the parking lot, obtaining a traffic concentration time period of each commercial type, and obtaining customer traffic in the traffic concentration time period;

[0101] Obtaining a characteristic factor influencing the customer traffic, extracting a corresponding characteristic field, and obtaining a traffic value existing in the corresponding characteristic field;

[0102] Based on the traffic value of each commercial type and the characteristic field matched with the traffic value, a corresponding characteristic matrix is constructed, and a completely same characteristic matrix is eliminated;

[0103] Based on each residual characteristic matrix, a preset virtual variable is introduced, and a mapping relationship of the corresponding residual characteristic matrix in a high-dimensional space is established;

[0104] Based on the mapping relationship, the characteristic fields in the corresponding residual characteristic matrix are reordered to obtain a new characteristic matrix;

[0105] Based on the characteristic field quantity of a first matrix in the new characteristic matrix being the largest, a characteristic difference value between the characteristic field quantity in the remaining new characteristic matrix and the reference quantity is calculated;

[0106] If the characteristic difference value is not equal to 0, the field identity of all characteristic fields in a second matrix with a characteristic field quantity less than the reference quantity and the characteristic fields in the first matrix is checked;

[0107] Based on the field identity check, the missing fields in the second matrix are obtained;

[0108] Based on the type of the missing fields, corresponding general characteristic fields are supplemented to the second matrix, so that the quantity of the characteristic fields is the same as the reference quantity;

[0109] Based on the characteristic fields of the same type in the first matrix, a control variable analysis is performed on the supplemented characteristic matrix to obtain a characteristic traffic value of each characteristic field in the supplemented characteristic matrix influencing the customer traffic;

[0110] The characteristic traffic value in the supplemented characteristic matrix and the traffic value corresponding to the characteristic fields in the characteristic matrix without supplement are input into a traffic value analysis model to obtain an influence weight of each characteristic field;

[0111] Based on the entering probability, the entering frequency and the influence weight of each characteristic field, a vehicle parking number is predicted in real time;

[0112] The first difference between the real-time predicted number of parked vehicles and the temporary parking area is calculated, and if the first difference is greater than 0, a second difference between the first difference and the number of parking spaces in the first temporary parking area is calculated;

[0113] If the second difference is greater than 0, the first temporary parking area does not meet the parking standard;

[0114] If the second difference is less than or equal to 0, the second difference and the stay duration ratio of each business type are combined and analyzed to obtain a first parking duration distribution;

[0115] If the first parking duration distribution matches the idle time period of each parking space in the first temporary parking area, it is determined that the first temporary parking area meets the parking standard.

[0116] In this embodiment, the business type refers to a commercial store with parking possibilities around the parking lot, including supermarkets, cinemas, large shopping malls, and other business places.

[0117] In this embodiment, the traffic concentration time period refers to the time period with the most customer traffic.

[0118] In this embodiment, customer traffic refers to the total number of customers of a business during business hours and the change curve of the number of people in each time period, including existing customer traffic and potential customer traffic.

[0119] In this embodiment, the characteristic factor refers to a factor that can have more or less influence on customer traffic, including special dates, peak hours, surrounding business activities, surrounding public transportation distribution, weather, and season.

[0120] In this embodiment, the characteristic field refers to the smallest unit of the field that can represent the characteristics of the characteristic factors extracted from the characteristic factors.

[0121] In this embodiment, the traffic value refers to the value of customer traffic as long as the characteristic field exists.

[0122] In this embodiment, the feature matrix refers to the features constructed by the traffic value of each business type and the characteristic field matching the traffic value.

[0123] In this embodiment, the preset dummy variable refers to a preset variable used to include data in regression analysis to achieve correct analysis of data.

[0124] In this embodiment, the high-dimensional space refers to a three-dimensional space higher than the two-dimensional space where the data is located, so as to achieve the purpose of mapping the data in the corresponding residual feature matrix.

[0125] In this embodiment, the first matrix refers to a matrix containing the largest number of feature fields in the new feature matrix, indicating a feature matrix containing all feature fields, so as to achieve the purpose of compensating for missing fields in the remaining matrix.

[0126] In this embodiment, the reference number refers to the number of feature fields in the first matrix as the reference number, so as to achieve the purpose of finding missing fields.

[0127] In this embodiment, the second matrix refers to a feature matrix in which the number of feature fields is less than the reference number.

[0128] In this embodiment, the field identity check refers to checking the identity of all feature fields in the second matrix with the feature fields in the first matrix, obtaining the feature fields in the second matrix that are the same as the feature fields in the first matrix, so as to achieve the purpose of finding missing fields.

[0129] In this embodiment, the missing field refers to a field that is not contained in the second matrix compared with the feature fields in the first matrix after checking the identity of all feature fields in the second matrix with the feature fields in the first matrix.

[0130] In this embodiment, the feature flow value refers to the actual customer flow value under the influence of each feature field on customer flow, indicating the individual influence of each feature field.

[0131] In this embodiment, the impact weight refers to a value that can represent the degree of influence of each feature field on customer flow.

[0132] In this embodiment, the stay duration ratio refers to the proportion of the average parking duration required by all surrounding business types.

[0133] In this embodiment, the first parking duration distribution refers to a comprehensive analysis of the real-time business type selection in the user account bound to all vehicle license plates corresponding to the second difference value, to obtain the distribution of the parking duration of all temporary parking types at this time.

[0134] The working principle and beneficial effects of the above technical solution are: through the analysis of the customer flow of the surrounding business types, the feature fields that affect the customer flow are obtained, and through the analysis of the flow value of each feature field, the impact weight of each feature field on the customer flow is obtained, the number of vehicles parked at this time is predicted, to verify whether the first temporary parking area meets the standard, improve the accuracy of predicting the number of vehicles parked, and improve the utilization rate of parking resources.

[0135] Embodiment 5:

[0136] The embodiment of the present application provides a parking space digital management method, based on the entering probability, the entering frequency and the influence weight of each feature field, the real-time prediction of the number of vehicles parked, comprising:

[0137]

[0138] Wherein, S represents the real-time prediction of the number of vehicles parked; n represents the number of feature fields in the feature matrix corresponding to the real-time surrounding business situation; mu i represents the influence weight corresponding to the i-th feature field; a represents the average customer flow under the balanced influence of each feature field in the normal situation; b i represents the flow change value under the influence of the i-th feature field in the corresponding feature matrix; q represents the entering frequency corresponding to the temporary parking type.

[0139] The working principle and beneficial effects of the above technical solution are: by calculating the entering probability, the entering frequency and the influence weight of each feature field, the real-time prediction of the number of vehicles parked is accurately obtained, the accuracy of predicting the number of vehicles parked is improved, and the utilization rate of parking resources is improved.

[0140] Embodiment 6:

[0141] The embodiment of the present application provides a parking space digital management method, if the parking standard is met, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate, comprising:

[0142] Based on the first temporary parking area and the entrance position of the parking lot, a parking route map is sent to the user account bound to the corresponding vehicle license plate, and a message is sent to the user.

[0143] The working principle and beneficial effects of the above technical solution are: by sending the corresponding vehicle parking area to the user account bound to the corresponding vehicle license plate, ensuring that the vehicle is parked in the correct parking space, and improving the parking efficiency.

[0144] Embodiment 7:

[0145] The embodiment of the present application provides a parking space digital management method, if the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and the entering frequency, a second temporary parking area is planned, and the judgment is continued, comprising:

[0146] Real-time monitoring of long-term vehicle exit, extracting the idle time period of the long-term vehicle exit;

[0147] Calculate the time difference between this time and the maximum time of the idle time period, if the time difference is greater than three hours, the parking space corresponding to the vehicle license plate of the long-term vehicle exit is used as the second temporary parking space;

[0148] Supplement all the second temporary parking spaces into the first temporary parking area to obtain a second temporary parking area.

[0149] In this embodiment, the second temporary parking space refers to a parking space of a long-term rental vehicle which can be used as a temporary parking space when the idle time period corresponding to the long-term rental vehicle just entering the parking lot meets the condition.

[0150] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the idle time period corresponding to the long-term rental vehicle just entering the parking lot, the first temporary parking area is supplemented to obtain the second temporary parking area, which helps to improve the utilization rate of parking lot resources.

[0151] Embodiment 8:

[0152] The embodiment of the application provides a parking space digital management method, and if the condition is still not met, a temporary parking reminder is sent to a user account bound to a corresponding vehicle license plate number, comprising:

[0153] If the second temporary parking area still does not meet the parking standard, the number of parking spaces in the second temporary parking area is sent to the background;

[0154] If the number of vehicles of the temporary parking type entering the parking lot is equal to the number of parking spaces in the second temporary parking area, a temporary parking reminder is sent to the user account bound to the corresponding vehicle license plate number, and the entrance is refused to enter the parking lot.

[0155] The working principle and beneficial effects of the above technical solution are as follows: by maximizing the utilization of the existing temporary parking area, it is ensured that the parking space of the long-term rental vehicle can be opened to the temporary parking type only when the condition is met, the interests of the long-term rental vehicle are protected, and the utilization rate of parking lot resources is improved.

[0156] Embodiment 9:

[0157] The embodiment of the application provides a parking space digital management system, as shown in Figure 2 The system comprises:

[0158] The first planning module: the historical parking time period of the long-term rental vehicle of the target parking lot and the idle parking space of the long-term rental area are acquired in real time, and the first temporary parking area of the long-term rental area is planned in real time;

[0159] The calculation module: the vehicle license plate number to be entered into the parking lot and the vehicle license plate number having entered the parking lot are captured in real time, and the entering probability and the entering frequency corresponding to the temporary parking type are determined;

[0160] The first judgment module: whether the first temporary parking area planned at the corresponding time meets the parking standard is judged based on the entering probability and the entering frequency;

[0161] If yes, continue to send the corresponding vehicle parking area to the user account bound to the corresponding vehicle license plate;

[0162] The second judging module: if the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and the entering frequency, a second temporary parking area is planned, and the judgment is continued;

[0163] If still not, send a temporary parking failure reminder to the user account bound to the corresponding vehicle license plate.

[0164] The working principle and beneficial effects of the above technical solution are: by analyzing the idle time period of the long-rented vehicle in the long-rented area, the first temporary parking area is obtained, and by analyzing the entering probability and the entering frequency corresponding to the temporary parking type, it is judged whether the first temporary parking area meets the parking standard. If not, a new temporary parking area is obtained by continuous adjustment, and the idle long-rented parking space is called, realizing the digital management of the parking space, increasing the temporary parking parking space, and improving the utilization rate of parking resources.

[0165] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A parking space digital management method, characterized in that, The method comprises the following steps: Step 1: Real-time acquisition of the historical parking time period of long-term rental vehicles in the target parking lot and the idle parking spaces in the long-term rental area, real-time planning of the first temporary parking area in the long-term rental area; Step 2: Real-time capture of the vehicle license plate of the vehicle to be entered into the parking lot and the vehicle license plate of the vehicle that has entered the parking lot, determination of the entering probability and entering frequency corresponding to the temporary parking type; Step 3: Based on the entering probability and entering frequency, it is judged whether the planned first temporary parking area at the corresponding time meets the parking standard; If it meets, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate; Step 4: If the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and entering frequency, a second temporary parking area is planned, and the judgment is continued; If it still does not meet, a temporary parking reminder is sent to the user account bound to the corresponding vehicle license plate; Real-time capture of the vehicle license plate of the vehicle to be entered into the parking lot and the vehicle license plate of the vehicle that has entered the parking lot, determination of the entering probability and entering frequency corresponding to the temporary parking type, comprising: According to the vehicle license plate recognition result, the first vehicle quantity around the target parking lot and the second vehicle quantity entering the target parking lot at each time are obtained, and the second vehicle quantity is regarded as the entering frequency; According to the first vehicle quantity and the second vehicle quantity at each time within a preset time period, the entering probability is obtained; The first vehicle quantity refers to the number of all vehicles in the environment around the target parking lot; The second vehicle quantity refers to the number of vehicles entering the target parking lot and being recognized by the entrance as temporary parking type.

2. The method of claim 1, wherein, Real-time acquisition of the historical parking time period of long-term rental vehicles in the target parking lot and the idle parking spaces in the long-term rental area, real-time planning of the first temporary parking area in the long-term rental area, comprising: Obtaining a long-term rental vehicle list of the target parking lot to obtain the historical parking time period corresponding to the long-term rental vehicle; Real-time monitoring of the gravity data received by the gravity sensor of the long-term rental area, if the gravity data is less than or equal to the preset reasonable weight, it is determined that the corresponding parking space is an idle parking space; Obtaining the historical parking time period corresponding to the vehicle license plate bound to the idle parking space to obtain the corresponding idle time period; Extracting the first temporary parking space with an idle time period greater than a preset time period, and combining the idle time period to construct the first temporary parking area.

3. The method of claim 1, wherein, Based on the entering probability and entering frequency, it is judged whether the planned first temporary parking area at the corresponding time meets the parking standard, comprising: Obtaining the commercial type around the parking lot to obtain the traffic concentration time period of each commercial type, and obtaining the customer flow of the traffic concentration time period; Obtaining the characteristic factors affecting the customer flow, extracting the corresponding characteristic fields, and obtaining the flow value existing in the corresponding characteristic fields; Based on the flow value of each commercial type and the characteristic field matched with the flow value, a corresponding feature matrix is constructed, and the completely same feature matrix is eliminated; Based on each remaining feature matrix, a preset virtual variable is introduced to establish the mapping relationship of the corresponding remaining feature matrix in a high-dimensional space. The feature fields in the corresponding residual feature matrix are reordered based on the mapping relationship to obtain a new feature matrix; The number of feature fields in a first matrix containing the most feature fields in the new feature matrix is taken as a reference number, and a feature difference value between the number of feature fields in the remaining new feature matrices and the reference number is calculated; If the feature difference value is not equal to 0, a field identity check is performed on all feature fields in a second matrix with a number of feature fields less than the reference number and the feature fields in the first matrix; Based on the field identity check, missing fields in the second matrix are obtained; Based on the types of the missing fields, corresponding common feature fields are supplemented to the second matrix to make the number of feature fields the same as the reference number; Based on the feature fields of the same type in the first matrix, a control variable analysis is performed on the supplemented feature matrix to obtain a feature flow value of each feature field in the supplemented feature matrix that affects customer flow; The feature flow values in the supplemented feature matrix and the flow values corresponding to the feature fields in the feature matrix that do not need to be supplemented are input into a flow value analysis model to obtain an influence weight of each feature field; Based on the entering probability, the entering frequency, and the influence weight of each feature field, a real-time prediction of the number of vehicles parked is performed; A first difference value between the real-time prediction of the number of vehicles parked and the temporary parking area is calculated, and if the first difference value is greater than 0, a second difference value between the first difference value and the number of parking spaces in the first temporary parking area is calculated; If the second difference value is greater than 0, the first temporary parking area does not meet the parking standard; If the second difference value is less than or equal to 0, the second difference value and the stay duration ratio of each business type are combined and analyzed to obtain a first parking duration distribution; If the first parking duration distribution matches the idle time period of each parking space in the first temporary parking area, it is determined that the first temporary parking area meets the parking standard.

4. The method of claim 3, wherein, Based on the entering probability, the entering frequency, and the influence weight of each feature field, a real-time prediction of the number of vehicles parked is performed, including: wherein, represents the real-time predicted number of vehicles parked; represents the number of feature fields in the feature matrix corresponding to the real-time surrounding business situation; represents the influence weight corresponding to the th feature field; represents the average customer flow under the influence of each feature field in the normal situation; represents the flow change value under the influence of the th feature field in the corresponding feature matrix; represents the entering frequency corresponding to the temporary parking type.

5. The method of claim 1, wherein, If the parking standard is met, the corresponding vehicle parking area is continuously sent to the user account bound to the corresponding vehicle license plate, including: Based on the first temporary parking area and the parking lot entrance location, a parking route map is sent to the user account bound to the corresponding vehicle license plate, and a message is sent to the user.

6. The method of claim 1, wherein, If the parking standard is not met, the first temporary parking area is adjusted based on the entering probability and the entering frequency, a second temporary parking area is planned, and the judgment is continued, including: The idle time period of the long-term rental vehicle is extracted by monitoring the long-term rental vehicle leaving in real time; The time difference between the current time and the maximum time of the idle time period is calculated, and if the time difference is greater than three hours, the parking space corresponding to the vehicle license plate of the long-term rental vehicle leaving is taken as a second temporary parking space; All second temporary parking spaces are supplemented into the first temporary parking area to obtain a second temporary parking area.

7. The method of claim 1, wherein, If it is still not met, a temporary parking reminder is sent to the user account bound to the corresponding vehicle license plate, including: If the second temporary parking area still does not meet the parking standard, the number of parking spaces in the second temporary parking area is sent to the background; If the number of vehicles of the temporary parking type entering the parking lot equals the number of parking spaces in the second temporary parking area, the user account bound to the corresponding vehicle license plate is sent a reminder that temporary parking is not available, and the entrance is refused to the temporary vehicle.

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