Parking lot payment management method, device, electronic device and storage medium

Abstract

The present invention belongs to the field of parking lot management and discloses a parking lot payment management method, device, electronic device, and storage medium. The method includes: S1, obtaining the congestion coefficient of the parking lot exit; S2, judging whether an advance payment reminder is required based on the congestion coefficient, and if so, entering S3; if not, entering S1; S3, respectively calculating the notification coefficient for each vehicle in the parking lot; S4, sending a notification to the vehicle owner based on the notification coefficient to remind the vehicle owner to pay in advance. In the process of parking lot payment management, the present invention not only considers the congestion situation at the parking lot exit, but also considers the vehicle owner's payment history, vehicle type, and accumulated parking time, avoiding the need to send a uniform notification to all vehicle owners and more accurately judging whether a notification is required to each vehicle owner. This can effectively reduce the probability of severe congestion at the parking lot exit while effectively improving the parking experience of vehicle owners.

Description

Technical Field

[0001] The present invention relates to the field of parking lot management, and in particular to a parking lot payment management method, device, electronic equipment and storage medium. Background Art

[0002] The exits of large parking lots, such as shopping malls, are prone to traffic jams during busy periods (e.g., afternoons during holidays). To reduce the likelihood of severe congestion, existing technologies often post QR codes on the roads leading from shopping malls to parking lots, allowing drivers to scan and pay in advance. After payment, drivers only need to leave within a certain timeframe (e.g., 10 minutes after payment) to avoid being charged again. However, payment habits vary among drivers, and drivers often lack knowledge of exit congestion before arriving. Consequently, a significant number of drivers still choose to scan and pay at the exit. Therefore, finding a more effective way to reduce traffic jams at parking lot exits has become a technical challenge that needs to be addressed. Summary of the Invention

[0003] The purpose of the present invention is to disclose a parking lot payment management method, device, electronic device and storage medium to solve the technical problems pointed out in the background technology.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present invention provides a parking fee management method, comprising:

[0006] S1, obtain the congestion coefficient of the parking lot exit, including:

[0007] Obtain the congestion coefficient of the parking lot exit based on a dynamic time period;

[0008] S2, based on the congestion coefficient, determines whether an advance payment reminder is required. If so, proceed to S3; if not, proceed to S1;

[0009] S3, calculates the notification coefficient of each vehicle in the parking lot, including:

[0010] S31, obtaining the accumulated parking time of the vehicle, the type of vehicle, and the payment history of the vehicle;

[0011] S32, normalizing the accumulated stay time to obtain a first parameter;

[0012] S33, obtaining a second parameter and a third parameter based on the type of vehicle and the payment history of the vehicle;

[0013] S34, calculating a notification coefficient based on the first parameter, the second parameter, and the third parameter;

[0014] S4: Send a notification to the car owner based on the notification coefficient to remind the car owner to pay in advance.

[0015] Furthermore, the process of obtaining the dynamic time period includes:

[0016] The dynamic time period to be calculated is expressed as , h is the number of time periods for cumulative calculation;

[0017] Get the congestion coefficients calculated for the h-1th and hth dynamic time periods respectively and ;

[0018] based on and calculate .

[0019] Furthermore, the congestion coefficient of the parking lot exit is obtained, including:

[0020] for , the acquisition process is as follows:

[0021] Get the hth dynamic time period The average waiting time for vehicles to pay and leave the site ;

[0022] Get in Parking lot saturation rate at the end ;

[0023] Get in Traffic efficiency coefficient of internal roads in the parking lot ;

[0024] based on 、 and Calculate the congestion coefficient of the parking lot exit corresponding to the hth dynamic time period .

[0025] Further, obtain the hth dynamic time period The average waiting time for vehicles to pay and leave the site includes:

[0026] The first step is to obtain the hth dynamic time period Collection of vehicles leaving the parking lot ;

[0027] The second step is to Each element in is calculated as follows:

[0028] for For vehicle z in the parking space, get the time when vehicle z leaves the parking space and time to leave the parking lot ;

[0029] The waiting time of vehicle z is calculated using the following formula:

[0030] ;

[0031] The third step is to calculate the average waiting time:

[0032] ;

[0033] Indicates the hth dynamic time period The average waiting time for vehicles to pay and leave is express The total number of vehicles in .

[0034] Furthermore, the accumulated stay time is normalized to obtain the first parameter, including:

[0035] Calculate the time between the current time and the time the vehicle enters the site ;

[0036] judge Is it greater than the preset time length threshold? If yes, set the value of the first parameter to 1. If no, use the following formula to Perform normalization:

[0037]

[0038] Indicates the first parameter.

[0039] Furthermore, the second parameter and the third parameter are obtained based on the type of vehicle and the payment history of the vehicle, including:

[0040] Determine whether the vehicle is an MPV. If so, set the second parameter Set to 0.5; if not, the second parameter Set to 1;

[0041] The vehicle’s payment history includes payment methods for leaving the parking lot within a preset time period;

[0042] Payment methods include advance payment and payment at the parking lot exit;

[0043] The number of advance payments is represented as N1, and the number of payments at the parking lot exit is represented as N2;

[0044] The third parameter The acquisition process is as follows:

[0045] like ,but is 0;

[0046] like ,but for ;

[0047] like ,but is 0;

[0048] Nth1 and Nth2 are respectively a preset first comparison threshold and a preset second comparison threshold.

[0049] Furthermore, based on the notification coefficient, a notification is sent to the car owner to remind the car owner to pay in advance, including:

[0050] S41, determining whether the notification coefficient is greater than a set notification coefficient threshold, if so, proceeding to S42, if not, not sending a notification to the car owner to remind the car owner to pay in advance;

[0051] S42, determining whether the mobile phone number of the owner corresponding to the vehicle exists in the database of the parking lot management system. If so, a notification is sent to the mobile phone number to remind the owner to pay in advance; if not, no notification is sent to the owner to remind the owner to pay in advance.

[0052] In a second aspect, the present invention provides a parking fee payment management device, comprising an acquisition module, a judgment module, a calculation module, and a notification module;

[0053] The acquisition module is used to obtain the congestion coefficient of the parking lot exit, including:

[0054] Obtain the congestion coefficient of the parking lot exit based on a dynamic time period;

[0055] The judgment module is used to judge whether an advance payment reminder is required based on the congestion coefficient;

[0056] The calculation module is used to calculate the notification coefficient for each vehicle in the parking lot when an advance payment reminder is required, including:

[0057] Obtain the vehicle's cumulative stay time, vehicle type, and vehicle payment history;

[0058] Normalizing the accumulated stay time to obtain a first parameter;

[0059] Acquire the second parameter and the third parameter based on the type of vehicle and the payment history of the vehicle;

[0060] calculating a notification coefficient based on the first parameter, the second parameter, and the third parameter;

[0061] The notification module is used to send a notification to the car owner based on the notification coefficient to remind the car owner to pay in advance.

[0062] In a third aspect, the present invention provides an electronic device, comprising:

[0063] Memory for storing computer programs;

[0064] A processor is used to implement the steps of the parking lot payment management method as described above when executing the computer program.

[0065] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-mentioned parking lot payment management method when executed by a processor.

[0066] Beneficial effects:

[0067] In the process of payment management for parking lots, the present invention not only takes into account the congestion situation at the parking lot exit, but also takes into account the payment history of the car owner, the type of vehicle and the accumulated length of stay. In this way, for car owners who are accustomed to paying in advance or paying at the exit, the present invention can reduce the probability of them receiving notifications. For other types of car owners, the present invention determines whether to send a notification for prompting based on the notification coefficient, thereby avoiding sending a unified notification to all car owners and more accurately judging whether it is necessary to send a notification to the car owner. This can effectively reduce the probability of serious congestion at the parking lot exit while effectively improving the parking experience of the car owner. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0069] Figure 1 Schematic diagram of the parking lot payment management method of the present invention.

[0070] Figure 2 Schematic diagram of the parking lot payment management device of the present invention. DETAILED DESCRIPTION

[0071] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0072] Example 1:

[0073] like Figure 1 In one embodiment shown, the present invention provides a parking fee management method, comprising:

[0074] S1, obtain the congestion coefficient of the parking lot exit, including:

[0075] Obtain the congestion coefficient of the parking lot exit based on a dynamic time period.

[0076] The present invention does not obtain the congestion coefficient through the traditional fixed time period method, because the fixed time period method cannot adapt well to the dynamically changing congestion conditions at the parking lot exits. For example, when the congestion level is getting lower and lower, the traditional fixed time period method is likely to cause the congestion coefficient to be obtained too frequently. If the server needs to manage multiple parking lots, the server's computing power will be wasted. When the congestion level is getting higher and higher, the time period cannot be shortened in time to more promptly identify the congestion conditions that meet the notification requirements to notify the car owners, resulting in the inability to timely suppress the congestion at the parking lot exit from the source.

[0077] Furthermore, the process of obtaining the dynamic time period includes:

[0078] S10, the dynamic time period to be calculated is expressed as , h is the number of time periods for cumulative calculation.

[0079] In the present invention, the number of cumulatively calculated time periods can be reset according to a set duration, for example, reset at 0:00 every day, and then counted again after the reset.

[0080] Specifically, The h+1th dynamic time period that needs to be calculated, that is, the next dynamic time period, is calculated immediately after the end of the hth dynamic time period. After obtaining the h+1th dynamic time period, it immediately enters the h+1th dynamic time period. Therefore, the interval between the two dynamic time periods for calculating the next dynamic time period is within 1 second.

[0081] S11, respectively obtain the congestion coefficients calculated for the h-1th and hth dynamic time periods and .

[0082] Specifically, and It is usually stored after calculation so that it can be directly called in subsequent calculations without recalculation, which helps improve the calculation efficiency of dynamic time periods.

[0083] S12, based on and calculate ,include:

[0084]

[0085] is the hth dynamic time period, The preset duration;

[0086] judge Is it satisfied If not, then Perform range control processing:

[0087] when Less than When The value of ;

[0088] when Greater than When The value of ;

[0089] If yes, keep The value remains unchanged, wrong Perform range control processing, and They are the minimum and maximum values ​​of the set time period respectively.

[0090] In calculation In the process of the present invention, the previous calculation results are fully utilized, so only a small amount of calculation is required to complete the calculation. Able to follow effectively and Therefore, when the congestion level at the exit of the parking lot changes in the direction of reduction, The demand for computing power will increase accordingly, thereby reducing the demand for computing power; and when the congestion level at the exit of the parking lot changes in the direction of expansion, The traffic volume will be reduced accordingly, so that serious congestion events that need to be notified can be discovered more promptly. and The gap between them can still follow and The time period of the present invention can be changed according to the size of the gap between them, so that when the congestion situation at the exit of the parking lot changes rapidly, the time period of the present invention can keep up with the change in time, further ensuring that the congestion situation can be discovered in time.

[0091] In the present invention, the value of h is greater than or equal to 2, therefore, and These are all pre-set time periods, such as and It can be 50 seconds each.

[0092] Furthermore, the preset duration is 30 seconds, and the minimum and maximum values ​​of the set time period are 30 seconds and 120 seconds, respectively.

[0093] Furthermore, the congestion coefficient of the parking lot exit is obtained, including:

[0094] for , the acquisition process is as follows:

[0095] S100, obtaining the hth dynamic time period The average waiting time for vehicles to pay and leave the site ,include:

[0096] The first step is to obtain the hth dynamic time period Collection of vehicles leaving the parking lot ;

[0097] The second step is to Each element in is calculated as follows:

[0098] for For vehicle z in the parking space, get the time when vehicle z leaves the parking space and time to leave the parking lot ;

[0099] The time a vehicle leaves a parking space can be determined by linking an electromagnetic detection device embedded in the parking space with cameras in the parking lot. For example, when the electromagnetic induction device detects a vehicle leaving the space, the first Q cameras closest to the electromagnetic detection device, which are capturing the parking lot's internal roads, are immediately analyzed to detect the vehicle's license plate number. Since the license plate number is recorded upon entry, the license plate number of the vehicle leaving the parking lot can be identified by simply comparing it with the license plate number detected in the internal road area. For example, the value of Q can be 3.

[0100] The time of leaving the parking lot can be obtained by identifying the vehicle's license plate through the gate at the exit of the parking lot to determine whether the fee has been paid.

[0101] The waiting time of vehicle z is calculated using the following formula:

[0102] ;

[0103] The third step is to calculate the average waiting time:

[0104] ;

[0105] Indicates the hth dynamic time period The average waiting time for vehicles to pay and leave is express The total number of vehicles in .

[0106] Specifically, the longer the average waiting time is, the more congested the parking lot exit is.

[0107] In another embodiment, calculating the average waiting time includes:

[0108] Remove The largest first two waiting times and the smallest first two waiting times among the waiting times of the vehicles in are taken, and the average of the remaining waiting times is calculated to obtain the average waiting time.

[0109] In the above embodiment, after excluding the maximum and minimum waiting times, the influence of outliers on the calculated average waiting time can be reduced, thereby more accurately indicating the congestion situation at the parking lot exit.

[0110] S101, obtain Parking lot saturation rate at the end .

[0111] For example, if 60 seconds, The start time is 12 hours, 0 minutes, and 0 seconds, then The end time is 12:0:60.

[0112] The saturation rate is calculated as follows:

[0113]

[0114] for The total number of vehicles in the parking lot at the end, The maximum number of vehicles that can be parked in the parking lot.

[0115] The greater the saturation rate, the greater the probability of severe congestion occurring at the parking lot exit.

[0116] S102, obtain Traffic efficiency coefficient of internal roads in the parking lot .

[0117] Specifically, multiple electromagnetic induction devices can be buried in the internal roads of the parking lot, and then the electromagnetic induction devices can be obtained respectively. The number of passing vehicles is detected, and the traffic efficiency coefficient is then calculated based on the obtained number.

[0118] Furthermore, the calculation formula of the traffic efficiency coefficient is:

[0119]

[0120] eleU represents the set of electromagnetic induction devices installed on the internal roads of the parking lot, NeleU represents the total number of electromagnetic induction devices included in eleU, For electromagnetic induction device j The number of detected passing vehicles.

[0121] The lower the traffic efficiency coefficient, the greater the probability of congestion at the parking lot exit. For example, when there is a long queue at the parking lot exit, it is likely to affect the passage of other vehicles on the internal road.

[0122] S103, based on 、 and Calculate the congestion coefficient of the parking lot exit corresponding to the hth dynamic time period .

[0123] Specifically, it can be calculated by the following formula :

[0124]

[0125] Npass is the set number, Indicates the set comparison duration. 、 and They are the first impact factor, the second impact factor and the third impact factor respectively.

[0126] Specifically, the congestion coefficient of the present invention is based on 、 and Therefore, when and The larger the value of The smaller the time, the greater the congestion coefficient, which makes it possible to calculate the probability of serious congestion incidents at the parking lot exit from multiple different angles, improve the reliability of the calculation results, and thus enable more timely processing and reduce the occurrence of parking lot congestion incidents.

[0127] Specifically, Npass may be 100. Since the traffic speed in an underground parking lot is usually very low, the number of vehicles passing through the electromagnetic induction device in a short period of time is not large.

[0128] Specifically, the comparison time may be 6 hours.

[0129] Specifically, the first impact factor, the second impact factor, and the third impact factor may be 0.5, 0.3, and 0.2, respectively.

[0130] S2, based on the congestion coefficient, determines whether an advance payment reminder is needed. If so, enter S3; if not, enter S1.

[0131] In the present invention, when the congestion coefficient is greater than a set congestion coefficient threshold, it indicates that an advance payment reminder is required.

[0132] For example, the congestion coefficient threshold may be set to 0.7.

[0133] S3, calculates the notification coefficient of each vehicle in the parking lot, including:

[0134] S31, obtaining the accumulated stay time of the vehicle, the type of vehicle, and the payment history of the vehicle.

[0135] Specifically, a vehicle's cumulative dwell time can be calculated by calculating the time between the current time and the vehicle's entry. Vehicle type can be identified by taking a photo of the vehicle's exterior using cameras at the parking lot entrance. Vehicle types include MPVs, SUVs, and sedans. A vehicle's payment history can be retrieved from the parking lot management system's database. If the vehicle has previously entered the parking lot, this data typically includes entry and exit times, license plate number, and payment method.

[0136] S32, normalizing the accumulated stay time to obtain a first parameter, including:

[0137] Calculate the time between the current time and the time the vehicle enters the site ;

[0138] judge Is it greater than the preset time length threshold? If yes, set the value of the first parameter to 1. If no, use the following formula to Perform normalization:

[0139]

[0140] Indicates the first parameter.

[0141] Specifically, the preset time length threshold It can be 12 hours. Generally speaking, for places such as shopping malls, people rarely stay for half a day. Therefore, setting the time length threshold to 12 hours can effectively achieve Normalization is performed, and it can also prevent The value of is too small.

[0142] The longer the stay time, the greater the probability that the vehicle will leave.

[0143] S33, obtaining a second parameter and a third parameter based on the vehicle type and the vehicle's payment history, including:

[0144] Determine whether the vehicle is an MPV. If so, set the second parameter Set to 0.5; if not, the second parameter Set to 1;

[0145] Generally speaking, for places such as shopping malls, when there are many people, the time they stay will be longer. Therefore, when it is determined that the vehicle is an MPV, setting a smaller second parameter can reduce the probability of the owner receiving notifications, reduce the probability of disturbing the owner, and improve the owner's parking experience.

[0146] The vehicle’s payment history includes payment methods for leaving the parking lot within a preset time period;

[0147] Payment methods include advance payment and payment at the parking lot exit;

[0148] The number of advance payments is represented as N1, and the number of payments at the parking lot exit is represented as N2;

[0149] The third parameter The acquisition process is as follows:

[0150] like ,but is 0;

[0151] like ,but for ;

[0152] like ,but is 0;

[0153] Nth1 and Nth2 are respectively a preset first comparison threshold and a preset second comparison threshold.

[0154] In the process of calculating the third parameter, the present invention sets different values ​​by determining the proportion of the number of advance payments N1 in the total number of parking times. When the proportion is high, it indicates that the car owner has the habit of actively paying in advance and leaving the parking lot. Therefore, there is no need to send a reminder to the car owner to affect the car owner's parking experience. When the proportion is low, it indicates that the car owner is not accustomed to paying in advance and leaving the parking lot. Therefore, even if a notification is sent to the car owner, the car owner is more likely to pay according to the traditional method of driving the vehicle to the gate and then paying. Therefore, the present invention does not send a notification to these car owners, so that these car owners have a good parking experience. For the part of car owners whose proportion is between Nth1 and Nth2, it can be determined that they do not have a fixed habit. Therefore, the present invention focuses on notifying this part of car owners. The larger the value of N2, the larger the third parameter, thereby achieving the goal of reducing the probability of congestion at the parking lot exit by increasing the proportion of car owners who pay in advance.

[0155] Specifically, the preset first comparison threshold and the second comparison threshold may be 0.2 and 0.8, respectively.

[0156] S34, calculating a notification coefficient based on the first parameter, the second parameter, and the third parameter, including:

[0157] For vehicle q, the corresponding notification coefficient is calculated as follows:

[0158]

[0159] is the notification coefficient corresponding to vehicle q, 、 and are the weights of the first, second and third parameters respectively.

[0160] The notification coefficient is calculated based on three different types of parameters. Therefore, the present invention notifies car owners with a higher probability of leaving the parking lot in the next time period, a shorter total stay time, and a higher probability of paying in advance. This can reduce the probability of severe congestion at the parking lot exit while taking into account the payment habits of car owners.

[0161] In the present invention, the weights of the first parameter, the second parameter, and the third parameter may be 0.4, 0.2, and 0.4, respectively.

[0162] S4, based on the notification coefficient, sending a notification to the car owner to prompt the car owner to pay in advance includes:

[0163] S41, determining whether the notification coefficient is greater than a set notification coefficient threshold, if so, proceeding to S42, if not, not sending a notification to the car owner to remind the car owner to pay in advance;

[0164] S42, determining whether the mobile phone number of the owner corresponding to the vehicle exists in the database of the parking lot management system. If so, a notification is sent to the mobile phone number to remind the owner to pay in advance; if not, no notification is sent to the owner to remind the owner to pay in advance.

[0165] Car owners usually pay through mini programs when paying, so they often need to register a parking lot account first, and the registration information will be saved in the database of the parking lot management system.

[0166] Specifically, the notification coefficient threshold may be 0.6.

[0167] Example 2:

[0168] like Figure 2 , the present invention provides a parking lot payment management device, including an acquisition module, a judgment module, a calculation module and a notification module;

[0169] The acquisition module is used to obtain the congestion coefficient of the parking lot exit, including:

[0170] Obtain the congestion coefficient of the parking lot exit based on a dynamic time period;

[0171] The judgment module is used to judge whether an advance payment reminder is required based on the congestion coefficient;

[0172] The calculation module is used to calculate the notification coefficient for each vehicle in the parking lot when an advance payment reminder is required, including:

[0173] Obtain the vehicle's cumulative stay time, vehicle type, and vehicle payment history;

[0174] Normalizing the accumulated stay time to obtain a first parameter;

[0175] Acquire the second parameter and the third parameter based on the type of vehicle and the payment history of the vehicle;

[0176] calculating a notification coefficient based on the first parameter, the second parameter, and the third parameter;

[0177] The notification module is used to send a notification to the car owner based on the notification coefficient to remind the car owner to pay in advance.

[0178] Example 3:

[0179] The present invention provides an electronic device, comprising:

[0180] Memory for storing computer programs;

[0181] A processor is used to implement the steps of the parking lot payment management method as described above when executing the computer program.

[0182] Example 4:

[0183] The present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the parking lot payment management method described above are implemented.

[0184] In the present invention, the electronic device includes one or more processors (CPUs), a memory, and a bus. The electronic device may also include an input / output interface, a network interface, and the like.

[0185] Memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and includes at least one memory chip. Memory is an example of a computer-readable medium.

[0186] Computer-readable storage media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0187] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A parking lot payment management method, characterized in that: include: S1, obtain the congestion coefficient of the parking lot exit, including: Obtain the congestion coefficient of the parking lot exit based on a dynamic time period; S2, based on the congestion coefficient, determines whether an advance payment reminder is required. If so, proceed to S3; if not, proceed to S1; S3, calculates the notification coefficient of each vehicle in the parking lot, including: S31, obtaining the accumulated parking time of the vehicle, the type of vehicle, and the payment history of the vehicle; S32, normalizing the accumulated stay time to obtain a first parameter, including: Calculate the time between the current time and the time the vehicle enters the site ; judge Is it greater than the preset time length threshold? If yes, set the value of the first parameter to 1. If no, use the following formula to Perform normalization: ； Indicates the first parameter; S33, obtaining a second parameter and a third parameter based on the vehicle type and the vehicle's payment history, including: Determine whether the vehicle is an MPV. If so, set the second parameter Set to 0.5; if not, the second parameter Set to 1; The vehicle’s payment history includes payment methods for leaving the parking lot within a preset time period; Payment methods include advance payment and payment at the parking lot exit; The number of advance payments is represented as N1, and the number of payments at the parking lot exit is represented as N2; The third parameter The acquisition process is as follows: like ,but is 0; like ,but for ; like ,but is 0; Nth1 and Nth2 are respectively a preset first comparison threshold and a preset second comparison threshold; S34, calculating a notification coefficient based on the first parameter, the second parameter, and the third parameter; S4: Send a notification to the car owner based on the notification coefficient to remind the car owner to pay in advance.

2. The parking fee management method according to claim 1, characterized in that: The process of obtaining a dynamic time period includes: The dynamic time period to be calculated is expressed as , h is the number of time periods for cumulative calculation; Get the congestion coefficients calculated for the h-1th and hth dynamic time periods respectively and ; based on and calculate .

3. The parking fee management method according to claim 2, characterized in that: Get the congestion coefficient of the parking lot exit, including: for , and the acquisition process is as follows: Get the hth dynamic time period The average waiting time for vehicles to pay and leave the site ; Get in Parking lot saturation rate at the end ; Get in Traffic efficiency coefficient of internal roads in the parking lot ; based on 、 and Calculate the congestion coefficient of the parking lot exit corresponding to the hth dynamic time period .

4. The parking fee management method according to claim 3, characterized in that: Get the hth dynamic time period The average waiting time for vehicles to pay and leave the site includes: The first step is to obtain the hth dynamic time period Collection of vehicles leaving the parking lot ; The second step is to Each element in is calculated as follows: for For vehicle z in the parking space, get the time when vehicle z leaves the parking space and time to leave the parking lot ; The waiting time of vehicle z is calculated using the following formula: ； The third step is to calculate the average waiting time: ； Indicates the hth dynamic time period The average waiting time for vehicles to pay and leave is express The total number of vehicles in .

5. The parking lot payment management method according to claim 1, characterized in that: A notification is sent to the vehicle owner based on the notification coefficient to remind the vehicle owner to pay in advance, including: S41, determining whether the notification coefficient is greater than a set notification coefficient threshold, if so, proceeding to S42, if not, not sending a notification to the car owner to remind the car owner to pay in advance; S42, determining whether the mobile phone number of the owner corresponding to the vehicle exists in the database of the parking lot management system. If so, a notification is sent to the mobile phone number to remind the owner to pay in advance; if not, no notification is sent to the owner to remind the owner to pay in advance.

6. Parking lot payment management device, characterized in that: Including acquisition module, judgment module, calculation module and notification module; The acquisition module is used to obtain the congestion coefficient of the parking lot exit, including: Obtain the congestion coefficient of the parking lot exit based on a dynamic time period; The judgment module is used to judge whether an advance payment reminder is required based on the congestion coefficient; The calculation module is used to calculate the notification coefficient for each vehicle in the parking lot when an advance payment reminder is required, including: Obtain the vehicle's cumulative stay time, vehicle type, and vehicle payment history; Normalize the accumulated stay time to obtain the first parameter, including: Calculate the time between the current time and the time the vehicle enters the site ; judge Is it greater than the preset time length threshold? If yes, set the value of the first parameter to 1. If no, use the following formula to Perform normalization: ； Indicates the first parameter; The second and third parameters are obtained based on the vehicle type and the vehicle's payment history, including: Determine whether the vehicle is an MPV. If so, set the second parameter Set to 0.5; if not, the second parameter Set to 1; The vehicle’s payment history includes payment methods for leaving the parking lot within a preset time period; Payment methods include advance payment and payment at the parking lot exit; The number of advance payments is represented as N1, and the number of payments at the parking lot exit is represented as N2; The third parameter The acquisition process is as follows: like ,but is 0; like ,but for ; like ,but is 0; Nth1 and Nth2 are respectively a preset first comparison threshold and a preset second comparison threshold; calculating a notification coefficient based on the first parameter, the second parameter, and the third parameter; The notification module is used to send a notification to the car owner based on the notification coefficient to remind the car owner to pay in advance.

7. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the parking lot payment management method according to any one of claims 1 to 5 when executing the computer program.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the parking lot payment management method according to any one of claims 1 to 5.

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