CN115761915A - Parking arrearage following payment method and system based on parking big data - Google Patents
Parking arrearage following payment method and system based on parking big data Download PDFInfo
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Abstract
The invention discloses a parking arrearage following payment method based on parking big data, belonging to the technical field of parking management, and the method comprises the following steps: collecting parking data of a plurality of parking lots, and uploading the parking data to a large parking data platform; generating a parking order based on the parking data of each parking lot, and storing the parking order in a database of a parking big data platform; judging whether the vehicle has arrearage behaviors or not based on the parking order, and generating an arrearage order; and statistically analyzing the vehicle behavior characteristics based on the parking data, and searching a arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics. According to the scheme, suspected owing orders and owing orders in the parking lot can be mined through the parking big data, the operation loss of the parking lot is reduced, a complete evidence chain is formed, and disputes between an operator of the parking lot and an owner of the parking lot are reduced.
Description
Technical Field
The invention relates to the technical field of parking charge management, in particular to a parking arrearage chasing payment method and system based on parking big data.
Background
At present, wisdom parking mainly embodies in the management mode of unmanned on duty, noninductive payment, has saved a large amount of manpower administrative cost, but the condition of owing not paying often takes place, the car owner can have the condition of intentionally with the car fee evasion, configuration remote controller switching off or manual compulsory switching off when leaving the parking area, cause parking area economic loss, and road parking charge is different from parking area charge operation mode, because the vehicle is in for a long time under open and decentralized dynamic environment, difficult management, can't in time discover and handle the parking fee evasion incident, the later stage needs a large amount of manpowers to screen.
The prior art is a chinese patent with a patent number "CN114202814A", which discloses a system and a method for intelligent parking arrearage following payment, wherein the system comprises a parking space, an identification device, a management device, a cloud intelligent parking big data platform and a delivery management platform; a geomagnetic sensor is arranged on the parking space and used for recording the parking condition of the vehicle and transmitting the parking condition to the management equipment; the recognition device is used for recognizing the vehicle information, generating a parking evidence chain and transmitting the parking evidence chain to the management device; the management equipment is used for transmitting data to the cloud intelligent parking big data platform; the cloud smart parking big data platform and the delivery management platform are in data intercommunication, and the delivery management platform generates arrearage payment information and sends the arrearage payment information to the car owner. The method comprises the steps of settling a parking order through an intelligent parking big data platform, generating a arrearage record, and then performing arrearage additional payment through a payment management platform. However, the scheme cannot count the behavior characteristics of the vehicles, and for the vehicles only with entrance information and without exit information, the exit information of the vehicles is sought to be searched in a monitoring mode and the like, and the vehicles can only be searched step by step within a time period after the entrance information, and the exit information cannot be found quickly to provide a complete data chain.
The second prior art is a chinese patent with a patent number "CN113781671A", which discloses a parking fee chasing device and method, the device includes a chasing management module and a parking fee chasing module, the chasing management module is used for acquiring unpaid fee information of fee evasion vehicles sent by each parking lot server and generating a total blacklist; when the vehicles to be checked sent by the yard server are inquired in the total blacklist, the bill of pursuing payment is sent to the corresponding yard server; the parking fee tracing module is used for uploading the confirmed unpaid fee information of the fee evasion vehicles to the cloud server and recording the fee evasion vehicles into a local blacklist; when the vehicle enters or leaves the parking lot, the vehicle information is sent to the cloud server for auditing, and when a follow-up payment bill is received or a record of unpaid parking fee is inquired in a local blacklist, the user is guided to pay the fee. However, in the scheme, the vehicle owner is identified on the basis that the vehicle owner does not pay within the limited time, but the vehicle owner pays less fee by using the yard rule, but the fee evasion behaviors such as normal completion of the order and the like cannot be judged.
Therefore, in order to quickly find out vehicle arrearage orders or suspected arrearage orders, a parking arrearage management method based on parking big data is needed, which can count vehicle behavior characteristics and provide an evidence chain for confirming vehicle arrearage so as to solve the problems in the prior art.
Disclosure of Invention
In view of the problems, the parking arrearage chasing method and the parking arrearage chasing system based on the parking big data are provided, suspected arrearage orders and arrearage orders in the parking lot can be mined through the parking big data, parking lot operation loss is reduced, a complete evidence chain is formed, and disputes between parking lot operators and car owners are reduced.
According to one aspect of the invention, a parking arrearage following payment method based on parking big data is provided, and the method comprises the following steps: collecting parking data of a plurality of parking lots, and uploading the parking data to a large parking data platform; generating a parking order based on the parking data of each parking lot, and storing the parking order in a database of a parking big data platform; judging whether the vehicle has arrearage behaviors or suspected arrearage behaviors or not based on the parking order, and generating an arrearage order; analyzing vehicle behavior characteristics based on parking data statistics, and searching an arrearage evidence chain corresponding to an arrearage order according to the vehicle behavior characteristics; and based on the arrearage evidence chain corresponding to the arrearage order, alarming and chasing the arrearage vehicle corresponding to the arrearage order.
By the scheme, suspected arrearage orders and arrearage orders in the parking lot are mined based on the parking big data, historical unsettled orders in the parking lot can be reduced, various behaviors of loophole fee evasion by using parking lot charging rules are reduced, and the operation loss of the parking lot is reduced; and a complete evidence chain is formed by carrying out statistical analysis on the vehicle behavior characteristics, so that disputes between a parking lot operator and a vehicle owner are reduced.
Optionally, in the above method, the parking data includes a vehicle entrance photo, a vehicle exit photo, a vehicle entrance time, a vehicle exit time, a vehicle entrance lane, a vehicle exit lane, and surveillance video data; the parking order comprises vehicle information, vehicle entrance time, vehicle exit time, vehicle entrance lane, vehicle exit lane, amount due, preferential amount, real amount and order state.
Optionally, in the above method, it may be determined whether the parking order has a suspected arrearage behavior based on a first preset rule, and the suspected arrearage order is determined; judging whether the parking order has arrearage behaviors or not based on a second preset rule, and determining an arrearage order; and judging whether the suspected arrearage order is converted into an arrearage order or not according to the parking order details, if the suspected arrearage order is converted into the arrearage order, storing a judgment basis, adding the judgment basis into an arrearage evidence chain, and if the suspected arrearage order is not the arrearage order, changing the order state of the suspected arrearage order into no additional payment.
Optionally, in the above method, the first preset rule may include that there is no departure information within a first preset time threshold after the vehicle enters the parking lot, there are multiple parking orders within a second preset time threshold of the vehicle, no entry order results in a guaranteed-end charge, and the vehicle renting is repeated.
Optionally, in the above method, the second preset rule may include: the order state in the parking order is to be paid, the entrance information and the exit information are available, and the amount payable is not 0; the order state in the parking order is to be paid, no departure information exists, and the last order is settled but not paid when the parking order is entered again in the same parking lot; the order state in the parking order is to be paid, no departure information exists, and the order is abnormal when the parking order enters another parking lot.
Optionally, in the above method, the parking lot may be a parking lot, where the parking lot has a maximum number of vehicle accesses within a preset time period; and calling monitoring video data based on the behavior characteristics, and searching data of the vehicle arrearage behavior corresponding to the arrearage order from the monitoring video data to be used as an arrearage evidence chain.
Optionally, in the method, the vehicle arrearage times and the accumulated arrearage amount corresponding to the arrearage order may be counted.
Optionally, in the method, the warning level is determined according to the number of vehicle arrears corresponding to the arrear order and the accumulated amount of the arrears; if the alarm level is lower than the preset alarm threshold value, pushing payment alarm information to the owing vehicle owner; if the alarm level is higher than the preset alarm threshold value, the vehicle defaulting record is pushed to the delivery management platform, and the delivery management platform pushes payment alarm information to the defaulting vehicle owner.
According to another aspect of the invention, a parking arrearage chasing system based on parking big data is provided, which comprises: the data acquisition module is respectively arranged at the entrance and the exit of a plurality of vehicles and the parking spaces and is used for acquiring parking data of a plurality of parking lots and uploading the parking data to the large parking data platform; the data storage module is used for generating parking orders based on the parking data of each parking lot and storing the parking orders in a database of the parking big data platform; the order analysis module is used for judging whether the vehicle has arrearage behaviors or suspected arrearage behaviors or not based on the parking order and generating an arrearage order; the evidence collection module is used for statistically analyzing the vehicle behavior characteristics based on the parking data and searching the arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics; and the warning module is used for warning and chasing the arrearage vehicle corresponding to the arrearage order based on the arrearage evidence chain corresponding to the arrearage order.
According to the scheme of the invention, suspected arrearage orders and arrearage orders in the parking lot are mined based on the parking big data, so that historical unsettled orders in the parking lot can be reduced, and various behaviors of loophole fee evasion by using parking lot charging rules are reduced, thereby reducing the operation loss of the parking lot; and a complete evidence chain is formed by carrying out statistical analysis on the vehicle behavior characteristics, so that subsequent pursuit payment is facilitated, and disputes between a parking lot operator and a vehicle owner are reduced.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of a parking arrearage following system 100 based on parking big data according to an embodiment of the present invention;
FIG. 2 is a flow chart diagram illustrating a parking arrearage following method based on parking big data according to an embodiment of the present invention;
FIG. 3 shows a flow diagram for generating a debt order, according to one embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
At present, most parking lots tend to be in an unattended and non-inductive payment management mode, and different parking lots may have different parking charging rules, charging at different time intervals and different charging at different parking areas. This may lead to a situation where someone uses the kiosk to force a car-following fee evasion or a leak fee evasion using parking charging rules. In order to rapidly identify the behavior of the suspected arrearage fee evasion, the scheme provides a parking arrearage tracing method and system based on parking big data.
Fig. 1 is a schematic structural diagram of a parking arrearage following system 100 based on parking big data according to an embodiment of the present invention. As shown in FIG. 1, the system 100 comprises data acquisition modules 1,2 \8230 \ 8230 \ n, a parking big data platform 110 which are respectively positioned in a plurality of parking lots, wherein the parking big data platform 110 comprises a data storage module 111, an order analysis module 112, an evidence collection module 113 and an alarm module 114. The data acquisition module can be arranged at an entrance and an exit of a parking lot and a parking space, and can acquire an entrance image and an exit image of a vehicle through the camera, so that the entrance image and the exit image of the vehicle contain information such as license plate number and vehicle model number, and record parking data such as vehicle entrance time, vehicle exit time, vehicle parking space number, vehicle parking area, vehicle entrance lane name and vehicle exit lane name, and each data acquisition module can upload the acquired parking data and video monitoring data of each parking lot to a parking lot big data platform. The data storage module 111 in the parking lot big data platform can receive the parking data uploaded by each parking lot data acquisition module, generate a parking order and store the parking order in the database of the parking lot big data platform. The parking order may include information of a license plate number, a vehicle type or model, a vehicle entrance time, a vehicle departure time, a vehicle entrance lane, a vehicle departure lane, a parking space number, an amount due, a preferential amount, a real amount, an order status, and the like. The order analysis module 112 may analyze the parking orders in the data storage module to identify an arrears order. The evidence collection module 113 may statistically analyze the vehicle behavior characteristics based on the parking data collected by the data collection module, and search for the arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics. For example, the time periods that the vehicle is most frequented, the most frequent parking areas, the yards that are frequented for a certain time period during the day, etc. may be counted. The alarm module 114 may perform alarm follow-up for the arrear vehicle corresponding to the arrear order.
Specifically, the order analysis module 112 may determine whether the parking order is a suspected debt order according to a first preset rule or whether the parking order is a debt order according to a second preset rule. Wherein, the first preset rule may include: the method comprises the following steps of no leaving information for a long time after the vehicle enters the parking lot, a plurality of short-time parking orders in the short time of the vehicle, bottom-keeping charging caused by no entering orders, repeated entering of monthly rented vehicles and the like. The second preset rule may include: the order state in the parking order is to be paid, the entrance information and the exit information are available, and the amount payable is not 0; the order state in the parking order is to be paid, no departure information exists, and the last order is settled but not paid when the parking order is entered again in the same parking lot; the order state in the parking order is to be paid, no departure information is available, the order is abnormal when the parking order enters another parking lot, and the like. When the vehicle in the parking order has no departure information for a long time after entering the parking order; or a plurality of short-time parking orders exist in the vehicle in a short time; or evading fee by using the loophole of the parking lot charging rule; or no admission order results in a guaranteed fee; or when the monthly taxi is repeatedly entered, the parking order can be judged as a suspected arrearage order. When the order state in the parking order is to be paid, the entrance information and the exit information exist, and the amount payable is not 0; or the order state in the parking order is to be paid, no departure information exists, and the last order is settled but the payment is not made when the parking order is entered again in the same parking lot; or the order state in the parking order is to be paid, no departure information exists, and when the order is abnormal when another parking lot enters, the parking order can be judged to be a debt order, and the parking order can be judged to be a debt order. After determining the arrearage order and the suspected arrearage order, the parking lot operator can judge whether the arrearage order really has arrearage behavior, if the operator judges that the arrearage order does not have the arrearage behavior or negotiates with the vehicle owner and then carries out additional processing, parking fee is not paid, and if the operator judges that the arrearage order really has the arrearage behavior, warning information is sent to the vehicle corresponding to the arrearage order. For the suspected arrearage order, the operator can judge whether the suspected arrearage order can have arrearage behavior or not, convert the suspected arrearage order into the arrearage order and send alarm information to the corresponding vehicle, and if the operator determines that the suspected arrearage order does not have the suspected arrearage behavior, the operator does not pay parking fee.
The evidence collecting module 113 may count the behavior characteristics of the parking lot including a time period in which the number of vehicle accesses to the parking lot is the most, a parking area in which the number of vehicle parks is the most, and the number of vehicle accesses to the parking lot in a preset time period, based on the parking data; and calling monitoring video data based on the behavior characteristics, and searching data of the vehicle arrearage behavior corresponding to the arrearage order from the monitoring video data to be used as an arrearage evidence chain. For example, a parking order of a vehicle having a similar license plate number or a similar vehicle type to the vehicle is analyzed within a certain time period after the entrance of the owing vehicle, and it is determined whether or not a recognition error occurs. According to the parking data and the parking orders, the parking lots with high fare evasion frequency, the time periods and areas with the highest fare evasion behavior frequency of the parking lots, the accumulated amount of the vehicle owing fee, the times of vehicle owing fee and other behavior characteristics are counted.
The alarm module 114 may send an alarm message to the vehicle corresponding to the arrear order and generate an arrear record, for example, determine an alarm level according to the number of vehicle arrears corresponding to the arrear order and the accumulated amount of arrears; if the alarm level is lower than the preset alarm threshold value, payment alarm information is pushed to the owner of the arrearage vehicle in modes of informing the owner of the vehicle through a short message, pushing a public number, pushing a parking platform and the like; if the alarm level is higher than the preset alarm threshold value, the vehicle owing record is pushed to the delivery management platform, the delivery management platform pushes payment alarm information to the owing vehicle owner, the delivery management platform inquires the corresponding owner telephone through the license plate number and informs the owner through a payment prompting short message or a payment prompting telephone, and if the owner does not pay within the specified time limit, the violation record is generated and informs the owner again.
Fig. 2 is a flow chart illustrating a parking arrearage following payment method based on parking big data according to an embodiment of the present invention. As shown in fig. 2, the method starts with step S210, collecting parking data of a plurality of parking lots, and uploading the parking data to a parking big data platform.
According to an embodiment of the present invention, parking data such as a vehicle entrance image, a vehicle exit image, a vehicle entrance time, a vehicle exit time, a vehicle entrance lane, a vehicle exit lane, a vehicle parking area, a vehicle parking space number, and surveillance video data may be collected by data collecting devices disposed at entrances and exits of a plurality of parking lots and parking spaces. The positions of a plurality of parking lots can be scattered, different parking charging rules can be provided, and all parking lots in a certain area can be provided. Each data acquisition device can upload the acquired parking data to a large parking data platform, so that data sharing is realized.
Step S220 is then performed to generate a parking order based on the parking data of each parking lot and store the parking order in the database of the parking big data platform.
According to an embodiment of the present invention, the parking order may include a license plate number, a vehicle model, a vehicle entrance time, a vehicle departure time, a vehicle entrance lane, a vehicle departure lane, an amount due, a preferential amount, a real amount, an order status, and the like. The amount due to the vehicle, the preferential amount and the real amount may be calculated according to different parking charging rules of the vehicle, for example, a parking fee in a peak parking period is higher than a parking fee in a low peak parking period, a member parking fee is lower than a non-member parking fee, a monthly rental parking is free, and the like.
Step S230 is executed to determine whether the vehicle has a defaulting behavior or a suspected defaulting behavior based on the parking order, and generate a defaulting order.
Specifically, whether the parking order is a suspected arrearage order or not can be judged according to a first preset rule, and whether the parking order is an arrearage order or not can be judged according to a second preset rule; and judging whether the suspected arrearage order is an arrearage order or not according to the parking order details, if the suspected arrearage order is judged to be the arrearage order, storing a judgment basis, adding the judgment basis into an arrearage evidence chain, and if the suspected arrearage order is judged not to be the arrearage order, changing the order state of the suspected arrearage order into no additional payment. According to an embodiment of the present invention, the first preset rule may include: and after the vehicle enters the parking lot, the parking lot information does not exist within a first preset time threshold, a plurality of parking orders exist within a second preset time threshold, and the parking lot information does not have an entering order, so that bottom-keeping charging is realized, and the vehicle is repeatedly entered into the parking lot. The first preset time threshold value refers to the fact that no departure information exists for a long time after the vehicle enters the parking lot, and the second preset time threshold value refers to the fact that a plurality of short-time parking orders exist in the vehicle in a short time, no entering orders result in bottom-guaranteeing charging, monthly rental of the vehicle repeatedly enters the parking lot and the like. The bottom-keeping charge means that 10 yuan is set in advance for the parking lot, and if the entering information cannot be found during the departure, 10 yuan is received. The monthly rental car means that a station yard presets monthly rental packages in advance, for example, 250 yuan is paid, the car can go in and out of the parking lot for unlimited times within one month, and the car is rented by the car owner when purchasing the package bound with the car.
The second preset rule may include: the order state in the parking order is to be paid, entrance information and exit information exist, and the amount payable is not 0; the order state in the parking order is to be paid, no departure information exists, and the last order is settled but not paid when the parking order is entered again in the same parking lot; the order state in the parking order is to be paid, no departure information exists, the order is abnormal when the parking order enters another parking lot, and the like.
FIG. 3 shows a flow diagram for generating a debt order according to one embodiment of the invention. As shown in fig. 3, when the parking order has no departure information for a long time after the vehicle enters the parking order; or a plurality of short-time parking orders exist in the vehicle in a short time; or evading fee by using the loophole of the parking lot charging rule; or no incoming order results in a warranty charge; or when the monthly taxi is repeatedly entered, the parking order can be judged as a suspected arrearage order. When the order state in the parking order is to be paid, the entrance information and the exit information exist, and the amount payable is not 0; or the order state in the parking order is to be paid, no departure information exists, and the last order is settled but the payment is not made when the parking order is entered again in the same parking lot; or the order state in the parking order is to be paid, no departure information exists, and when the order is abnormal when another parking lot enters, the parking order can be judged to be a debt order, and the parking order can be judged to be a debt order.
After determining the arrearage order and the suspected arrearage order, the parking lot operator can judge whether the arrearage order really has arrearage behavior, if the operator judges that the arrearage order does not have the arrearage behavior or negotiates with the vehicle owner and then carries out additional processing, parking fee is not paid, and if the operator judges that the arrearage order really has the arrearage behavior, warning information is sent to the vehicle corresponding to the arrearage order. For the suspected arrearage order, the operator can judge whether the suspected arrearage order possibly has arrearage behavior, convert the suspected arrearage order into the arrearage order and send alarm information to the corresponding vehicle, and if the operator determines that the suspected arrearage order does not have the suspected arrearage behavior, the operator does not pay parking fee.
And then, executing step S240, statistically analyzing the vehicle behavior characteristics based on the parking data, and searching the arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics.
According to one embodiment of the invention, the behavior characteristics of a parking lot with the largest vehicle access frequency in a preset time period, a parking area with the largest vehicle parking frequency and a parking lot with the largest vehicle access frequency in the preset time period can be counted based on parking data; and then, calling monitoring video data based on the behavior characteristics, and searching data of the vehicle arrearage behavior corresponding to the arrearage order from the monitoring video data to be used as an arrearage evidence chain. The vehicle arrearage times and the arrearage accumulated amount corresponding to the arrearage order can be counted, so that the follow-up payment alarm level can be determined according to the vehicle accumulated arrearage amount, the arrearage times and the like.
And finally, executing a step S250, and carrying out alarm follow-up payment on the arrearage vehicle corresponding to the arrearage order based on the arrearage evidence chain corresponding to the arrearage order.
Specifically, the warning level can be determined according to the vehicle arrearage times and the arrearage accumulated amount corresponding to the arrearage order; if the alarm level is lower than the preset alarm threshold value, the owner of the arrearage vehicle can be informed through a short message, pushed by a public number and pushed by a parking platform, or the owner of the arrearage vehicle can be sent payment alarm information in modes of alarming when the vehicle enters or exits the parking platform and the like; if the alarm level is higher than the preset alarm threshold value, the vehicle owing record is pushed to the delivery management platform, the delivery management platform pushes payment alarm information to the owing vehicle owner, the delivery management platform inquires the corresponding owner telephone through the license plate number and informs the owner through a payment prompting short message or a payment prompting telephone, and if the owner does not pay within the specified time limit, the violation record is generated and informs the owner again.
By the technical scheme, the vehicle behavior characteristics can be subjected to statistical analysis, so that a complete arrearage pursuit paying evidence chain can be conveniently searched and obtained, and disputes between a yard operator and a vehicle owner are avoided; by mining and analyzing the suspected arrearage order and the arrearage order, the parking arrearage behavior can be rapidly identified and the warning pursuit payment can be carried out, so that the operation loss of a parking lot is reduced.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in a device as described in this embodiment or alternatively may be located in one or more devices different from the devices in this example. The modules in the foregoing examples may be combined into one module or may additionally be divided into multiple sub-modules.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Moreover, those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments, not others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Furthermore, some of the embodiments are described herein as a method or combination of method elements that can be implemented by a processor of a computer system or by other means of performing a function. A processor having the necessary instructions for carrying out a method or method element forms an apparatus for carrying out the method or method element. Further, the elements of the apparatus embodiments described herein are examples of the following apparatus: the means for performing the functions performed by the elements for the purpose of carrying out the invention.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as disclosed herein. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense with respect to the scope of the invention, as defined in the appended claims.
Claims (9)
1. A parking arrearage payment method based on parking big data is characterized by comprising the following steps:
collecting parking data of a plurality of parking lots, and uploading the parking data to a large parking data platform;
generating parking orders based on the parking data of each parking lot, and storing the parking orders in a database of a parking big data platform;
judging whether the vehicle has arrearage behaviors or suspected arrearage behaviors or not based on the parking order, and generating an arrearage order;
analyzing vehicle behavior characteristics based on the parking data statistics, and searching an arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics;
and based on the arrearage evidence chain corresponding to the arrearage order, alarming and chasing the arrearage vehicle corresponding to the arrearage order.
2. The parking arrearage collect-up method according to claim 1,
the parking data comprise vehicle entrance pictures, vehicle exit pictures, vehicle entrance time, vehicle exit time, vehicle entrance lanes, vehicle exit lanes and monitoring video data;
the parking order comprises vehicle information, vehicle entrance time, vehicle leaving time, a vehicle entrance lane, a vehicle leaving lane, an amount due, a preferential amount, a real payment amount and an order state.
3. The parking arrearage payment method according to claim 2, wherein the step of determining whether the vehicle has arrearage behavior or suspected arrearage behavior based on the parking order comprises:
judging whether the parking order has suspected arrearage behavior based on a first preset rule, and determining a suspected arrearage order;
judging whether the parking order has arrearage behaviors or not based on a second preset rule, and determining an arrearage order;
and judging whether the suspected arrearage order is converted into an arrearage order or not according to the parking order details, if so, saving a judgment basis, adding the judgment basis into an arrearage evidence chain, and if not, changing the order state of the suspected arrearage order into no additional payment.
4. The parking arrearage following payment method according to claim 3, wherein the first preset rule comprises: and after the vehicle enters the parking lot, the parking lot information does not exist within a first preset time threshold, a plurality of parking orders exist within a second preset time threshold, and the parking lot information does not have an entering order, so that bottom-keeping charging is realized, and the vehicle is repeatedly entered into the parking lot.
5. The parking arrearage following payment method according to claim 3, wherein the second preset rule comprises: the order state in the parking order is to be paid, the entrance information and the exit information are available, and the amount payable is not 0; the order state in the parking order is to be paid, no departure information exists, and the order is settled and not paid when the parking order is entered again in the same parking lot; the order state in the parking order is to be paid, no departure information exists, and the order is abnormal when the parking order enters another parking lot.
6. The parking arrearage payment following method according to claim 1, wherein the step of statistically analyzing vehicle behavior characteristics based on the parking data and searching an arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics comprises:
based on the parking data, counting the time period with the most frequent vehicle access field, the parking area with the most parking times, and the behavior characteristics of the parking lot with the most vehicle access times in the preset time period;
and calling the monitoring video data based on the behavior characteristics, and searching data of the vehicle with arrearage behavior corresponding to the arrearage order from the monitoring video data to be used as an arrearage evidence chain.
7. The parking arrearage following payment method according to claim 6, wherein the step of statistically analyzing vehicle behavior characteristics based on the parking data and searching for an arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics further comprises:
and counting the vehicle arrearage times and the accumulated arrearage amount corresponding to the arrearage order.
8. The parking arrearage payment following method according to claim 7, wherein the step of performing alarm payment following on the arrearage vehicle corresponding to the arrearage order based on the arrearage evidence chain corresponding to the arrearage order comprises:
determining an alarm level according to the vehicle arrearage times and the arrearage accumulated amount corresponding to the arrearage order;
if the alarm level is lower than the preset alarm threshold value, pushing payment alarm information to the owing vehicle owner;
if the alarm level is higher than the preset alarm threshold value, the vehicle defaulting record is pushed to the delivery management platform, and the delivery management platform pushes payment alarm information to the defaulting vehicle owner.
9. A parking arrearage following payment system based on parking big data is characterized in that the system comprises:
the data acquisition module is respectively arranged at the entrance and the exit of a plurality of vehicles and the parking spaces and is used for acquiring parking data of a plurality of parking lots and uploading the parking data to the large parking data platform;
the data storage module is used for generating parking orders based on the parking data of each parking lot and storing the parking orders in a database of a parking big data platform;
the order analysis module is used for judging whether the vehicle has arrearage behaviors or suspected arrearage behaviors or not based on the parking order to generate an arrearage order;
the evidence collection module is used for statistically analyzing vehicle behavior characteristics based on the parking data and searching an arrearage evidence chain corresponding to the arrearage order according to the vehicle behavior characteristics;
and the warning module is used for warning and chasing the arrearage vehicle corresponding to the arrearage order based on the arrearage evidence chain corresponding to the arrearage order.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117576795A (en) * | 2024-01-17 | 2024-02-20 | 浙江大学建筑设计研究院有限公司 | Parking arrearage payment method based on mobile phone signaling data and parking lot management data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117576795A (en) * | 2024-01-17 | 2024-02-20 | 浙江大学建筑设计研究院有限公司 | Parking arrearage payment method based on mobile phone signaling data and parking lot management data |
| CN117576795B (en) * | 2024-01-17 | 2024-04-19 | 浙江大学建筑设计研究院有限公司 | Parking arrearage payment method based on mobile phone signaling data and parking lot management data |
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