CN113344606A - Method and device for acquiring parking lot charging standard - Google Patents
Method and device for acquiring parking lot charging standard Download PDFInfo
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Abstract
The application discloses a method and a device for obtaining a charging standard of a parking lot, which can generate the charging standard of the target parking lot after processing a target historical order record of the target parking lot, wherein the method comprises the following steps: acquiring a target historical order record of a target parking lot, wherein the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit type and receivable amount; processing a target historical order record according to a preset algorithm to obtain a corresponding data result, wherein the data result comprises related data such as target receivable amount, mode ratio and the like; judging whether the parking lot is a non-interval toll parking lot or not according to the data result; if yes, filling the target amount to be charged into a preset charging table according to corresponding conditions to obtain target charging information; judging whether the confidence of the target charging information reaches a preset confidence level; if yes, generating the charging standard of the parking lot according to the target charging information.
Description
Technical Field
The application relates to the technical field of parking lot charging management, in particular to a method and a device for acquiring parking lot charging standards.
Background
The charging standard of the parking lot is generally regulated and priced by relevant government departments, and the charging standards of different regions, different vehicle types and different time periods are different, so that the charging standard difference among different parking lots is very large, and a charging sign needs to be placed at the entrance of the parking lot. For parking operation enterprises, especially enterprises operating large parking lots, how to perform online management on different parking lot charging standards becomes a troublesome problem. The general practice is to store the pictures of the toll signboards in an enterprise database, but due to the problems of non-normative pictures, diversified toll logic, complexity of text description and the like, even if the current picture text Recognition technology (OCR) is mature, it is difficult to accurately analyze the toll standards of different yards by using one set of Recognition standards. In addition, due to the large number of parking lots, different parking lot barrier software and hardware may be operated by different manufacturers, and the variability of the charging standard itself, the cost of manually maintaining the online charging standard is very high, and errors are very easy to occur.
Disclosure of Invention
The application provides a training method and a training device for obtaining a parking lot charging standard, which are used for generating the charging standard of a target parking lot after processing a target historical order record of the target parking lot.
The first aspect of the present application provides a training method for obtaining a parking lot charging standard, including:
acquiring a target historical order record of a target parking lot, wherein the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit time, an exit type and an amount to be received;
processing the target historical order record according to a preset algorithm to obtain a corresponding data result, wherein the data result comprises relevant data such as target receivable amount, mode ratio and the like;
judging whether the parking lot is a non-interval toll parking lot or not according to the data result;
if yes, filling the target receivable amount into a preset charging table according to corresponding conditions to obtain target charging information;
judging whether the confidence of the target charging information reaches a preset confidence;
and if so, generating a charging standard of the target parking lot according to the target charging information.
Optionally, the processing the target historical order record according to a preset algorithm to obtain a corresponding data result includes:
acquiring the parking time of each order;
adding the charge amount of each order to a corresponding parking charge set according to the entry time and the parking time of each order, dividing the entry time into I entry time periods with the same time length according to the sampling time length by the parking set, dividing the parking time into P parking time segments which are gradually increased one by one according to the preset time length, wherein the I parking time segments are IiPpRepresents the charging amount of the parking period with the parking period p in the ith entrance period, wherein the I, P represents a plurality of I e to [1, I]，p∈[1，P]；
Obtaining the mode and the mode ratio of the neutron elements in each element in the parking charge set;
acquiring the maximum value, the minimum value, the average value and the variance of neutron elements in each element under the parking charge set;
and when the variance is smaller than a first preset value, determining the mode as a target charging amount.
Optionally, the determining, according to the data result, whether the target parking lot is a non-regional toll parking lot includes:
obtaining IiPpObtaining a first array of target charging amounts of different i under the same p;
judging whether different elements exist in the first array or not;
if not, determining that the target parking lot is a non-interval toll parking lot, and executing the step of filling the target receivable amount into a preset toll table according to corresponding conditions to obtain target toll information;
and if so, determining that the target parking lot is not a non-regional toll parking lot.
Optionally, after adding the charge amount of each order to the corresponding parking charge set according to the entrance time and the parking duration of each order, when the variance is smaller than a first preset value, before determining that the mode is the target charge amount, the method further includes:
acquiring special charging data in the parking charging set, wherein the special charging data comprises maximum free parking time, first-time-period charging amount, all-day maximum charging amount and maximum charging starting time period;
and generating special charging information of the target parking lot according to the special charging data.
Optionally, the determining whether the confidence of the target charging information reaches a preset confidence includes:
obtaining the confidence of the target charging information, wherein the confidence is the distribution condition of data in the target charging information;
judging whether the confidence coefficient is greater than a preset confidence coefficient;
if not, determining that the data result cannot be used as the charging standard of the target parking lot.
Optionally, after generating the charging standard of the target parking lot according to the target charging information, the method further includes:
and storing the charging standard of the target parking lot and the special charging information to a preset position and/or uploading the charging standard and the special charging information to a cloud database.
Optionally, the obtaining of the target historical order record of the target yard includes:
acquiring a parking order record of the target parking lot within a preset time range, wherein the parking order record comprises the core data of the target parking lot;
and performing data cleaning on the parking order record to obtain the target historical order record, wherein the data cleaning is the operation of retaining the core data and removing repeated and abnormal data.
Optionally, the total number of the target historical order records is greater than the total number of elements in the preset tariff.
The second aspect of the present application provides an apparatus for obtaining parking lot charging standard, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a target historical order record of a target parking lot, the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit type and receivable amount;
the data processing unit is used for processing the target historical order record according to a preset algorithm to obtain a corresponding data result, and the data result comprises relevant data such as target receivable amount, mode duty ratio and the like;
the first judgment unit is used for judging whether the target parking lot is a non-interval toll parking lot according to the data result;
the first execution unit is used for filling the target amount to be charged into a preset charging table according to corresponding conditions to obtain target charging information when the first judgment unit determines that the target parking lot is a non-interval charging parking lot;
the second judging unit is used for judging whether the confidence coefficient of the target charging information reaches the preset confidence coefficient or not;
and the first generating unit is used for generating the charging standard of the target parking lot according to the target charging information when the second judging unit determines that the confidence coefficient of the target charging information reaches the preset confidence coefficient.
Optionally, the apparatus further comprises:
and the storage unit is used for storing the charging standard of the target parking lot and the special charging information to a preset position and/or uploading the special charging information to a cloud database.
Optionally, the data processing unit includes:
the first acquisition module is used for acquiring the parking time of each order;
a collection module for adding the charge amount of each order to the corresponding parking charge collection according to the entrance time and the parking time of each order, wherein the parking collection is based on the parking timeDividing the entering time into I entering time periods with the same time length according to the sampling time length, and dividing the parking time into P parking time periods which are gradually increased one by one according to the preset time length, IiPpRepresents the charging amount of the parking period with the parking period p in the ith entrance period, wherein the I, P represents a plurality of I e to [1, I]，p∈[1，P]；
The second acquisition module is used for acquiring the mode and the mode percentage ratio of the sub-elements in each element in the parking charge set;
the third acquisition module is used for acquiring the maximum value, the minimum value, the average value and the variance of the neutron elements in each element in the parking charge set;
and the first determining module is used for determining the mode as the target charging amount when the variance is smaller than a first preset value.
Optionally, the data processing unit further includes:
a seventh obtaining module, configured to obtain special charging data in the parking charging set, where the special charging data includes a maximum free parking duration, a first-time-period charging amount, a total-day maximum charging amount, and a maximum charging start time period;
and the first generation module is used for generating special charging information of the target parking lot according to the special charging data.
Optionally, the first determining unit includes:
a fourth obtaining module for obtaining IiPpObtaining a first array of target charging amounts of different i under the same p;
the first judging module is used for judging whether different elements exist in the first array or not;
and the second determining module is used for determining that the target parking lot is not the non-interval toll parking lot when the first judging module determines that different elements exist in the first array.
Optionally, the second determining unit includes:
a fifth obtaining module, configured to obtain a confidence level of the target charging information, where the confidence level is a distribution condition of data in the target charging information;
the second judgment module is used for judging whether the confidence coefficient is greater than the preset confidence coefficient;
and the third determining module is used for determining that the data result cannot be used as the charging standard of the target parking lot when the second judging module determines that the confidence coefficient is not greater than the preset confidence coefficient.
Optionally, the first obtaining unit includes:
a sixth obtaining module, configured to obtain a parking order record of the target yard within a preset time range, where the parking order record includes the core data of the target yard;
and the data cleaning module is used for performing data cleaning on the parking order record to obtain the target historical order record, wherein the data cleaning is the operation of retaining the core data and removing repeated and abnormal data.
The third aspect of the present application provides a training device for obtaining a parking lot charging standard, comprising:
acquiring a target historical order record of a target parking lot, wherein the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit time, an exit type and an amount to be received;
processing the target historical order record according to a preset algorithm to obtain a corresponding data result, wherein the data result comprises relevant data such as target receivable amount, mode ratio and the like;
judging whether the target parking lot is a non-interval toll parking lot or not according to the data result;
if yes, filling the target receivable amount into a preset charging table according to corresponding conditions to obtain target charging information;
judging whether the confidence of the target charging information reaches a preset confidence;
and if so, generating a charging standard of the target parking lot according to the target charging information.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, having a program stored thereon, where the program, when executed on a computer, performs the aforementioned method for obtaining a parking lot charging standard.
According to the technical scheme, the target historical order records of the target parking lot are obtained, the target historical order records are processed through the preset algorithm to obtain the related data, if the parking lot is a non-interval toll parking lot, the target toll information is generated, and if the confidence coefficient of the target toll information reaches the preset confidence coefficient, the toll standards of the target parking lot are generated according to the target toll information, so that the toll standards of the non-interval toll parking lot can be quickly obtained from a large number of parking records, and the speed and the accuracy of managing the toll standards of the parking lot are greatly improved.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a training method for obtaining a parking lot charging standard according to the present disclosure;
FIGS. 2-1 and 2-2 are schematic flow charts illustrating another embodiment of a training method for obtaining parking lot charging criteria according to the present application;
FIG. 3 is a schematic structural diagram of an embodiment of the training device for obtaining parking lot charging criteria according to the present application;
fig. 4 is a schematic structural diagram of an embodiment of the training device for acquiring the parking lot charging standard according to the present application.
Detailed Description
At present, most parking lots are different in charging standard according to different positions and different in operation properties, for enterprises with large operating yard size, the online management and maintenance cost of the parking lot charging standard is extremely high through manual work, and errors are easy to occur.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The method of the present application may be applied to a server terminal or other devices with logic processing capability, and the present application is not limited thereto. For convenience of description, the following description will be given taking the execution body as an example.
Referring to fig. 1, an embodiment of a method for obtaining a parking lot charging standard in the present application includes:
101. a terminal acquires a target historical order record of a target parking lot, wherein the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit time, an exit type and an amount to be received;
in the embodiment of the application, online management is performed on the charging conditions of a plurality of yards, manual collection of charging information of each yard is not needed, a target historical order record of a target yard is obtained through a terminal, the target historical order record comprises field information such as yard codes, license plate numbers, vehicle types, entrance time, exit types and receivable amount, and specific limitation is not made here, and the time, the stay time and the parking cost of each vehicle entering the target yard can be determined through the field information in the target historical order record.
102. The terminal processes the target historical order record according to a preset algorithm to obtain a corresponding data result, wherein the data result comprises relevant data such as target receivable amount, mode ratio and the like;
in the embodiment of the application, enough order records exist in the target historical order records, so that the data result obtained after the processing by the preset algorithm has referential property, the data result also includes data for judging whether the target parking lot is a non-regional toll parking lot, and the details of the preset algorithm are not limited herein, and refer to steps 203 to 209, which are not described herein.
103. The terminal judges whether the target parking lot is a non-interval toll parking lot or not according to the data result, if so, the step 104 is executed;
the parking lot can be divided into an interval charging parking lot and a non-interval charging parking lot according to the charging type, wherein the charging standard of the non-interval charging parking lot does not determine the charging condition along with the different time when the vehicle enters the parking lot, but determines the charging condition according to the parking time of the vehicle, and in the embodiment of the application, the terminal judges whether the target parking lot is the non-interval charging parking lot according to the data in the data result obtained in the step 102.
104. The terminal fills the target amount of receivable money into a preset charging table according to corresponding conditions to obtain target charging information;
setting the statistical time of the preset tariff to be 24 hours, cutting the statistical time into an entrance time period with equal time granularity and a parking time period with equal time intervals, wherein the entrance time period is divided into 48 sections according to the granularity of 30 minutes, the parking time period is divided into 96 sections according to the granularity of 15 minutes, and I is usediIndicating the time of entry of the vehicle, PpIndicating the parking duration of the vehicle, i ∈ [1, 48 ]]，p∈[1，96]Each different entrance time period in the preset toll table corresponds to a different parking time period IiPpIt should be noted that the statistical time and the time granularity may also be set to other values in the present application, and are not limited herein.
And when the terminal determines that the target parking lot is a non-interval toll parking lot, filling the target receivable amount in the data result obtained in the step 102 into the position corresponding to the entrance time period and the parking time period according to the condition of a preset toll table to obtain target toll information.
105. The terminal judges whether the confidence coefficient of the target charging information reaches a preset confidence coefficient, if so, the step 106 is executed;
in the embodiment of the present application, the confidence is a data distribution rate reached by the preset charging form after the target receivable amount is filled, if the confidence is too low, the charging information provided by the target charging information is incomplete, and an accurate charging standard of the target parking lot cannot be provided, so that more target historical order records need to be obtained to improve the confidence.
106. And the terminal generates a charging standard of the target parking lot according to the target charging information.
According to the method and the device, the terminal is used for conducting preset data processing on the target historical order record of the target parking lot, when the target parking lot is determined to be a non-interval toll parking lot and the confidence coefficient of the target toll information is not smaller than the preset confidence coefficient, the toll standard of the target parking lot is generated according to the target toll information, and compared with the method that the toll standard of each parking lot is collected manually, the method is faster, the error is not prone to occurring, and the maintenance cost is lower.
Referring to fig. 2, another embodiment of the method for obtaining the parking lot charging standard in the present application includes:
201. acquiring a parking order record of the target parking lot within a preset time range, wherein the parking order record comprises the core data of the target parking lot;
as the economic level develops, the charging standard of the parking lot may increase with the increase of the price of the object, and therefore the parking order record acquired in the embodiment of the present application is set within the preset time range so that all the orders are under the same charging standard.
202. Performing data cleaning on the parking order record to obtain the target historical order record, wherein the data cleaning is the operation of retaining the core data and removing repeated and abnormal data;
since the parking order record includes all data information of the vehicle parked in the target parking lot, in the embodiment of the present application, the terminal performs data cleaning on the parking order record obtained in step 201, and screens out core data required by the method, such as a parking lot code, a license plate number, a vehicle type, an entrance time, an exit type, an amount to be received, and the like, which is not limited herein.
203. Acquiring the parking time of each order;
and calculating the parking time under each order, wherein the parking time is the departure time and the entrance time.
204. Adding the charge amount of each order to a corresponding parking charge set according to the entry time and the parking time of each order, dividing the entry time into I entry time periods with the same time length according to the sampling time length by the parking set, dividing the parking time into P parking time segments which are gradually increased one by one according to the preset time length, wherein the I parking time segments are IiPpRepresents the charging amount of the parking period with the parking period p in the ith entrance period, wherein the I, P represents a plurality of I e to [1, I]，p∈[1，P]；
Parking fee collection I in the embodiment of the applicationiPpThe division refers to the division of the preset tariff in step 104 of the foregoing embodiment, which is not described herein again.
205. Acquiring special charging data in the parking charging set, wherein the special charging data comprises maximum free parking time, first-time-period charging amount, all-day maximum charging amount and maximum charging starting time period;
the special charging data obtained in the embodiment of the present application includes:
the maximum free time length, the sum to be received in the parking charge set is 0, and the corresponding parking time length is maximum, namely the vehicle does not charge in the parking time length;
the first time period charges the amount, the initial time of entry in the parking charge set corresponds to the shortest parking duration (I)1P1) The amount of charge of the vehicle, i.e. the amount of charge of the vehicle during the first period of the initial charge;
the highest charge is carried out all day, the amount to be charged in the parking charge set is the largest, namely the highest charge amount in the statistical time;
the highest charging starting time interval is the time interval corresponding to the minimum parking time interval under the highest charging all day in the parking charging set.
206. Generating special charging information of the target parking lot according to the special charging data;
special charging information of the target parking lot, such as a special charging form, is generated according to the special charging data obtained in step 205, which is not limited herein.
207. Obtaining the mode and the mode ratio of the neutron elements in each element in the parking charge set;
in the embodiment of the application, the mode is in the same IiPpThe amount of receivable appearing most times, the ratio of the mode to the number of accounts being the number of the mode in the unit IiPpThe proportion of all elements, e.g. at a first entry time and a first parking period I1P1The total number of orders of (1) is 100, wherein the order with the receivable amount of 10 yuan is the maximum, and 90 orders are total, therefore I1P1Has a mode of 10 and a mode fraction of 90/100.
208. The terminal obtains the maximum value, the minimum value, the average value and the variance of neutron elements in each element under the parking charge set;
obtaining each IiPpMaximum, minimum, arithmetic mean and variance occur below, where variance is equal to the mean of the sum of squared deviations of the values of the individual subelements and the arithmetic mean, by which variance I can be describediPpThe smaller the variance value, the smaller the fluctuation degree.
209. When the variance is smaller than a first preset value, the terminal determines the mode as a target charging amount;
the first preset value is pair IiPpDesired degree of fluctuation when IiPpWhen the variance of (A) is less than a first preset value, determining IiPpThe fluctuation of the lower sub-element is small, the reference requirement as the target parking lot charging standard is met, and therefore the mode is taken as IiPpWhen each I is chargediPpIf the variance of the elements is less than the first predetermined value, step 210 is executed.
210. The terminal obtains I in sequenceiPpObtaining the target charging amount of different i under the same p to obtain the array corresponding to different p;
in the embodiment of the application, the terminal sequentially acquires IiPpThe target charging amount of different i under the same p is obtained as the firstArray, e.g. obtaining p ═ 1, I firstiP1When P is obtained, the target charge amount of1Corresponds to all IiThe next set of p ═ p +1, I, is obtainediP2Until p is the maximum value, it should be noted that I is obtained during the implementation of the methodiPpThe sequence of (a) may be a positive sequence or a negative sequence, and is not limited herein.
211. The terminal judges whether different elements exist in an array corresponding to the same p, if so, step 201 is executed, and if not, step 212 is executed;
in the embodiment of the application, P is a parking time set, so that in IiPpIf p is equal and i varies, it indicates that the entry time of the vehicle is different, but the parking time is the same, and therefore if the elements in the same p array obtained in the terminal determining step 210 are all the same, it indicates that the parking time is the same and the amount to be collected is the same when the entry time is different, it is determined that the target yard is a non-regional toll yard.
212. Filling the target amount to be charged into a preset charging table according to the corresponding conditions to obtain target charging information;
when the terminal determines that the target charge is a non-interval charging parking lot, the amount of the target charge to be collected corresponds to the entrance time and the parking time of a preset charging table, and IiPpAnd filling the target charging information into a preset charging table so as to further determine the charging standard of the target parking lot.
213. Obtaining the confidence of the target charging information, wherein the confidence is the distribution condition of data in the target charging information;
in the embodiment of the present application, the confidence level is I filled in the preset tariffiPpThe ratio of the number of the target charging amount to the total elements of the preset charging table.
214. Judging whether the confidence coefficient is greater than a preset confidence coefficient, if so, executing step 215, and if not, executing step 216;
the embodiment of the application compares the confidence of the target charging information with the preset confidence, and if the target charging information is filled into a preset charging table, IiPpThe number of the target charging amount is less, and if the target charging amount is not greater than the preset confidence coefficient, the data of the target charging information is incomplete, and the covered time period is not enough to be used as the charging standard reference value of the target parking lot.
215. Generating a charging standard of the target parking lot according to the target charging information;
216. determining that the data result cannot be used as a charging standard for the target yard;
in order to obtain the charging standard of the target parking lot, the terminal needs to obtain more order records of the target parking lot as reference data.
217. And storing the charging standard of the target parking lot and the special charging information to a preset position and/or uploading the charging standard and the special charging information to a cloud database.
In the embodiment of the present application, the charging standard and the special charging information of the target parking lot obtained in step 215 and step 206 are stored so that the manager can uniformly manage the charging standard of the parking lot.
In the embodiment of the application, the terminal performs corresponding data processing and calculation on the historical order record of the target parking lot, generates target charging information if the target parking lot is a non-interval charging parking lot, generates the charging standard of the target parking lot when the target charging information is greater than the preset reliability, and does not need to manually collect the charging standards of the parking lots one by one through the method when the charging standards of the parking lots need to be uniformly managed, so that the operation is simple, the historical order record is real data, and errors are not prone to occurring.
The method for acquiring the parking lot charging standard in the embodiment of the present application is described above, and the following describes the apparatus for acquiring the parking lot charging standard in the embodiment of the present application:
referring to fig. 3, an embodiment of the training device for obtaining the parking lot charging standard in the present application includes:
the first obtaining unit 301 is configured to obtain a target historical order record of a target yard, where the target historical order record is core data of the target yard, and the core data includes a yard code, a license plate number, a vehicle type, an entry time, an exit type, and an amount to be received;
the data processing unit 302 is configured to process the target historical order record according to a preset algorithm to obtain a corresponding data result, where the data result includes related data such as a target receivable amount, a mode duty ratio, and the like;
a first judging unit 303, configured to judge, according to the data result, whether the target parking lot is a non-regional toll parking lot;
a first executing unit 304, configured to, when the first determining unit determines that the target parking lot is a non-regional toll parking lot, fill the target amount to be collected into a preset toll collection table according to a corresponding condition to obtain target toll collection information;
a second judging unit 305, configured to judge whether a confidence of the target charging information reaches a preset confidence;
a first generating unit 306, configured to generate a charging standard of the target yard according to the target charging information when the second determining unit determines that the confidence of the target charging information reaches a preset confidence.
The storage unit 307 is configured to store the charging standard of the target parking lot and the special charging information in a preset location and/or upload the charging standard and the special charging information to a cloud database.
In this embodiment, the first obtaining unit 301 includes:
a sixth obtaining module 3011, configured to obtain a parking order record of the target yard within a preset time range, where the parking order record includes the core data of the target yard;
and the data cleaning module 3012 is configured to perform data cleaning on the parking order record to obtain the target historical order record, where the data cleaning is an operation of retaining the core data and removing duplicate and abnormal data.
In this embodiment, the data processing unit 302 includes:
a first obtaining module 3021, configured to obtain a parking duration of each order;
an aggregation module 3022, configured to add the charge amount of each order to a corresponding parking charge aggregation according to the entry time and the parking duration of each order, where the parking aggregation divides the entry time into I entry time periods with the same duration according to the sampling duration, and divides the parking duration into P parking time periods that are incremented one by one according to a preset duration, IiPpRepresents the charging amount of the parking period with the parking period p in the ith entrance period, wherein the I, P represents a plurality of I e to [1, I]，p∈[1，P]；
A second obtaining module 3023, configured to obtain a mode and a mode fraction ratio of sub-elements in each element in the parking charge set;
a third obtaining module 3024, configured to obtain a maximum value, a minimum value, an average value, and a variance of neutron elements in each element in the parking charge set;
a first determining module 3025, configured to determine the mode as a target charging amount when the variance is smaller than a first preset value;
a seventh obtaining module 3026, configured to obtain special charging data in the parking charging set, where the special charging data includes a maximum free parking duration, a first-period charging amount, a maximum daily charging amount, and a maximum charging starting period;
a first generating module 3027, configured to generate special fare collection information of the target parking lot according to the special fare collection data.
In this embodiment, the first determining unit 303 includes:
a fourth obtaining module 3031 for obtaining IiPpObtaining a first array of target charging amounts of different i under the same p;
a first determining module 3032, configured to determine whether different elements exist in the first array;
a second determining module 3033, configured to determine that the target yard is not a non-regional toll yard when the first determining module determines that different elements exist in the first array.
In this embodiment, the second determining unit 305 includes:
a fifth obtaining module 3051, configured to obtain a confidence level of the target charging information, where the confidence level is a distribution condition of data in the target charging information;
a second determination module 3052, configured to determine whether the confidence level is greater than a preset confidence level;
a third determining module 3053, configured to, when the second determining module determines that the confidence level is not greater than a preset confidence level, determine that the data result cannot be used as a charging standard for the target yard.
Referring to fig. 4, an embodiment of the training device for obtaining the parking lot charging standard in the present application includes:
a processor 401, a memory 402, an input-output unit 403, a bus 404;
the processor 401 is connected to the memory 402, the input/output unit 403 and the bus 404;
the processor 401 specifically executes the following operations:
acquiring a target historical order record of a target parking lot, wherein the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit time, an exit type and an amount to be received;
processing the target historical order record according to a preset algorithm to obtain a corresponding data result, wherein the data result comprises relevant data such as target receivable amount, mode ratio and the like;
judging whether the target parking lot is a non-interval toll parking lot or not according to the data result;
if yes, filling the target receivable amount into a preset charging table according to corresponding conditions to obtain target charging information;
judging whether the confidence of the target charging information reaches a preset confidence;
and if so, generating a charging standard of the target parking lot according to the target charging information.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one type of logical function division, and other division manners may be available in actual implementation, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A method of obtaining yard charge criteria, comprising:
acquiring a target historical order record of a target parking lot, wherein the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit time, an exit type and an amount to be received;
processing the target historical order record according to a preset algorithm to obtain a corresponding data result, wherein the data result comprises relevant data such as target receivable amount, mode ratio and the like;
judging whether the target parking lot is a non-interval toll parking lot or not according to the data result;
if yes, filling the target receivable amount into a preset charging table according to corresponding conditions to obtain target charging information;
judging whether the confidence of the target charging information reaches a preset confidence;
and if so, generating a charging standard of the target parking lot according to the target charging information.
2. The method of claim 1, wherein processing the historical target order record according to a predetermined algorithm to obtain a corresponding data result comprises:
acquiring the parking time of each order;
according to each orderThe parking set divides the entrance time into I entrance time periods with the same time length according to the sampling time length, and divides the parking time into P parking time length sections which are gradually increased one by one according to the preset time length, wherein the I parking time length is IiPpRepresents the charging amount of the parking period with the parking period p in the ith entrance period, wherein the I, P represents a plurality of I e to [1, I]，p∈[1，P]；
Obtaining the mode and the mode ratio of the neutron elements in each element in the parking charge set;
acquiring the maximum value, the minimum value, the average value and the variance of neutron elements in each element under the parking charge set;
and when the variance is smaller than a first preset value, determining the mode as a target charging amount.
3. The method for obtaining the parking lot charging standard according to claim 2, wherein the step of judging whether the target parking lot is a non-regional charging parking lot according to the data result comprises the following steps:
obtaining IiPpObtaining a first array of target charging amounts of different i under the same p;
judging whether different elements exist in the first array or not;
if not, determining that the target parking lot is a non-interval toll parking lot, and executing the step of filling the target receivable amount into a preset toll table according to corresponding conditions to obtain target toll information;
and if so, determining that the target parking lot is not a non-regional toll parking lot.
4. The method of claim 2, wherein after adding the charging amount of each order to the corresponding parking charging set according to the entrance time and the parking time of each order, when the variance is smaller than a first preset value, before determining the mode as the target charging amount, the method further comprises:
acquiring special charging data in the parking charging set, wherein the special charging data comprises maximum free parking time, first-time-period charging amount, all-day maximum charging amount and maximum charging starting time period;
and generating special charging information of the target parking lot according to the special charging data.
5. The method of claim 1, wherein determining whether the confidence level of the target charging information reaches a preset confidence level comprises:
obtaining the confidence of the target charging information, wherein the confidence is the distribution condition of data in the target charging information;
judging whether the confidence coefficient is greater than a preset confidence coefficient;
if not, determining that the data result cannot be used as the charging standard of the target parking lot.
6. The method of obtaining parking lot charging criteria according to claim 4, wherein after generating the charging criteria for the target parking lot according to the target charging information, the method further comprises:
and storing the charging standard of the target parking lot and the special charging information to a preset position and/or uploading the charging standard and the special charging information to a cloud database.
7. The method for obtaining the parking lot charging standard according to any one of claims 1 to 5, wherein the obtaining of the target historical order record of the target parking lot comprises:
acquiring a parking order record of the target parking lot within a preset time range, wherein the parking order record comprises the core data of the target parking lot;
and performing data cleaning on the parking order record to obtain the target historical order record, wherein the data cleaning is the operation of retaining the core data and removing repeated and abnormal data.
8. The method of obtaining yard charge criteria of any of claims 1 to 5, wherein the total number of target historical order records is greater than the total number of elements in the pre-set tariff.
9. An apparatus for obtaining parking lot charging criteria, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a target historical order record of a target parking lot, the target historical order record is core data of the target parking lot, and the core data comprises a parking lot code, a license plate number, a vehicle type, entrance time, exit type and receivable amount;
the data processing unit is used for processing the target historical order record according to a preset algorithm to obtain a corresponding data result, and the data result comprises relevant data such as target receivable amount, mode duty ratio and the like;
the first judgment unit is used for judging whether the target parking lot is a non-interval toll parking lot according to the data result;
the first execution unit is used for filling the target amount to be charged into a preset charging table according to corresponding conditions to obtain target charging information when the first judgment unit determines that the target parking lot is a non-interval charging parking lot;
the second judging unit is used for judging whether the confidence coefficient of the target charging information reaches the preset confidence coefficient or not;
and the first generating unit is used for generating the charging standard of the target parking lot according to the target charging information when the second judging unit determines that the confidence coefficient of the target charging information reaches the preset confidence coefficient.
10. The apparatus for obtaining the parking lot charging standard according to claim 9, wherein the data processing unit comprises:
the first acquisition module is used for acquiring the parking time of each order;
an aggregation module for parking according to the entrance time of each orderAdding the charge amount of the order to a corresponding parking charge set according to the time length, dividing the entry time into I entry time periods with the same time length according to the sampling time length by the parking set, dividing the parking time into P parking time periods which are gradually increased one by one according to the preset time length, wherein I is the time length of the parking time periodiPpRepresents the charging amount of the parking period with the parking period p in the ith entrance period, wherein the I, P represents a plurality of I e to [1, I]，p∈[1，P]；
The second acquisition module is used for acquiring the mode and the mode percentage ratio of the sub-elements in each element in the parking charge set;
the third acquisition module is used for acquiring the maximum value, the minimum value, the average value and the variance of the neutron elements in each element in the parking charge set;
and the first determining module is used for determining the mode as the target charging amount when the variance is smaller than a first preset value.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113936347A (en) * | 2021-09-30 | 2022-01-14 | 深圳市科漫达智能管理科技有限公司 | Parking charging method, parking charging device and terminal equipment |
| CN114373232A (en) * | 2021-12-23 | 2022-04-19 | 深圳市顺易通信息科技有限公司 | Parking lot expense settlement method and related device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107730614A (en) * | 2017-01-05 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Parking charge method and device |
| CN108777002A (en) * | 2018-03-23 | 2018-11-09 | 西安艾润物联网技术服务有限责任公司 | Parking fee collective system method, system and computer readable storage medium |
| CN110233741A (en) * | 2019-05-21 | 2019-09-13 | 深圳壹账通智能科技有限公司 | Service charging method, device, equipment and storage medium |
| CN110827418A (en) * | 2019-10-22 | 2020-02-21 | 恒大智慧科技有限公司 | Intelligent community parking automatic charging method, computer equipment and storage medium |
-
2021
- 2021-04-30 CN CN202110481377.3A patent/CN113344606A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107730614A (en) * | 2017-01-05 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Parking charge method and device |
| CN108777002A (en) * | 2018-03-23 | 2018-11-09 | 西安艾润物联网技术服务有限责任公司 | Parking fee collective system method, system and computer readable storage medium |
| CN110233741A (en) * | 2019-05-21 | 2019-09-13 | 深圳壹账通智能科技有限公司 | Service charging method, device, equipment and storage medium |
| CN110827418A (en) * | 2019-10-22 | 2020-02-21 | 恒大智慧科技有限公司 | Intelligent community parking automatic charging method, computer equipment and storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113936347A (en) * | 2021-09-30 | 2022-01-14 | 深圳市科漫达智能管理科技有限公司 | Parking charging method, parking charging device and terminal equipment |
| CN113936347B (en) * | 2021-09-30 | 2023-12-19 | 深圳市科漫达智能管理科技有限公司 | Parking charging method, parking charging device and terminal equipment |
| CN114373232A (en) * | 2021-12-23 | 2022-04-19 | 深圳市顺易通信息科技有限公司 | Parking lot expense settlement method and related device |
| CN114373232B (en) * | 2021-12-23 | 2024-02-02 | 深圳市顺易通信息科技有限公司 | Parking lot fee settlement method and related device |
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