CN115170211A - Intelligent expense accounting method and system for intelligent small town scenic spot - Google Patents

Intelligent expense accounting method and system for intelligent small town scenic spot Download PDF

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CN115170211A
CN115170211A CN202211089748.4A CN202211089748A CN115170211A CN 115170211 A CN115170211 A CN 115170211A CN 202211089748 A CN202211089748 A CN 202211089748A CN 115170211 A CN115170211 A CN 115170211A
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丁春风
王小峰
樊昌良
陈敏
汪晨华
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Zhejiang Post & Telecommunication Engineering Construction Co ltd
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Abstract

The invention provides an intelligent expense accounting method and system for a smart town scenic spot, which belong to the technical field of ticketing equipment and specifically comprise the following steps: the scenic spot ticketing device is placed at tourist attractions in the small intelligent town, reads the identity information of tourists, and transmits the types and the number of the tourists entering the scenic spots to the charge accounting module; the ticket discount construction module adopts a prediction model to construct a ticket discount result according to the identity information and the consumption amount of the tourist and transmits the ticket discount result to the expense accounting module; the charge accounting module is responsible for obtaining the charge accounting result of the tourist based on the ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and the price corresponding to the type of the scenic spot, and transmitting the charge accounting result to the export ticket selling device; the export ticket selling device is arranged at an export of the intelligent town, charges according to the charge accounting result of the tourist and issues tickets to the tourist, so that the time of the tourist is saved and accurate charge accounting is realized.

Description

Intelligent expense accounting method and system for intelligent small town scenic spot
Technical Field
The invention belongs to the technical field of ticketing equipment, and particularly relates to an intelligent expense accounting method and system for a smart small town scenic spot.
Background
The intelligent town is based on certain industry, culture, ecology and other wisdom and is very bright. The intelligent small town economic and tourism resources are rich, so that the enthusiasm of developers is improved, the economic development of the intelligent small towns is promoted, the lives of people are enriched, the local financial tax is improved, the normal production and life order is ensured, the continuous development of the intelligent small towns is guaranteed by considering the limit of scenic spot personnel and road capacity, and strict scientific charging is very important.
In order to solve the ticket selling and charging problem of the intelligent small town, a ticket type ticket selling mode is generally adopted at present, tourists can play a plurality of scenic spots in the small town by purchasing tickets in advance, but the following technical problems mainly exist:
1. charging is not carried out according to the number of the tourist attractions, so that the charging calculation standard is not accurate;
2. only fixed inlets are arranged, and a plurality of fixed ticket selling devices are arranged, so that huge waste is caused, and the time of tourists is wasted when the flow of people is large, so that the user experience is reduced;
3. the ticket charge is not corrected according to other consumption of the tourists, other consumption in the intelligent town cannot be pulled, and economic benefits brought by the intelligent town are greatly reduced.
In view of the above technical problems, the present invention provides an intelligent expense accounting method and system for intelligent small town scenic spots.
Disclosure of Invention
In order to realize the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the invention, an intelligent expense accounting system for a smart town scenic spot is provided.
An intelligent expense accounting system for a scenic spot of an intelligent small town, which is characterized by comprising:
the system comprises a scenic spot ticketing device, a consumption management system, a ticket discount construction module, a cost accounting module and an export ticketing device;
the scenic spot ticketing device is placed in a scenic spot in a small intelligent town, reads the identity information of the tourist, records the type and the number of the tourist entering the scenic spot, transmits the identity information of the tourist to the entrance ticket discount construction module, and transmits the type and the number of the tourist entering the scenic spot to the fee accounting module;
the ticket discount construction module adopts a prediction model based on an ABC-SVR algorithm and a GA-KNN algorithm to construct a ticket discount result according to the identity information of the tourist and the consumption amount of the tourist, and transmits the discount result to the expense accounting module;
the charge accounting module is used for obtaining a charge accounting result of the tourist based on a ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and a price corresponding to the type of the scenic spot, and transmitting the charge accounting result to the export ticket selling device;
the export ticket selling device is arranged at an export of the intelligent town, collects the cost according to the cost accounting result of the tourists and issues tickets for the tourists.
The tourist attraction ticket selling device is arranged at first, so that statistics on the number and types of tourists entering the attraction is realized, the identity information of the tourists is read, the identity information is transmitted to the ticket discount construction module, the ticket discount construction module constructs a ticket discount result based on the identity information and consumption amount of the tourists, the technical problem that the fare of the tourists is not corrected according to other consumption of the tourists and the fare of the tourists cannot be pulled is solved, the economic benefit of the small intelligent town is greatly reduced, the fare calculation result of the small intelligent town is further improved and transmitted to the fare calculation module, the fare calculation module is responsible for obtaining the fare calculation result of the tourists based on the discount result, the types and the numbers of the attraction and the price corresponding to the types of the attraction, the fare calculation result of the tourists is solved, the technical problem that the fare calculation standard is inaccurate is solved, the fare of the entrance of the tourists is more accurately realized, the fare calculation result is arranged at the exit of the small intelligent attraction, the fare calculation result is charged according to the number of the tourists entering the scenic attraction, the fare calculation result is obtained, the technical problem that the fare calculation standard is inaccurate is further improved, the fare of the entrance of the tourists is greatly reduced, and the user experience is greatly improved.
Through confirming quantity and the type that the visitor got into the sight spot based on sight spot ticket vending device to can charge according to quantity, the type that gets into the sight spot that the visitor got into, thereby very big reduction consumer's queuing time, also make the economic income of other non-sight spots places in the wisdom town obtain the promotion of certain degree.
By forming the ticket discount result based on the identity of the user and the shopping amount, other economic income inside the small town can be promoted, the calculation mode of the ticket is more scientific and correct, and the competitiveness of the small town is improved.
The ticket discount result is constructed by adopting the prediction model based on the ABC-SVR algorithm and the GA-KNN algorithm, so that the advantages of low generalization error, easy interpretability, data disturbance resistance and small storage of the SVR algorithm and the advantage that the KNN algorithm is not easily influenced by small error probability are combined, the anti-interference capability of the overall model is further improved, the loose variable of the SVR algorithm is optimized based on the ABC algorithm, the K value of the KNN algorithm is optimized by adopting the GA algorithm, and the accuracy and the efficiency of the prediction result are improved to a certain extent.
The further technical scheme is that the scenic spot ticketing device determines the price corresponding to the type of the scenic spot according to the type of the tourist entering the scenic spot, and transmits the price to the expense accounting module.
The further technical scheme is that when the number of the tourists entering the scenic spots recorded by the scenic spot ticketing device is larger than a first threshold value, the scenic spots behind the first threshold value are not recorded any more.
When the number of the tourists entering the scenic spots is large, the tourists can see the tourists, and therefore the number of the scenic spots calculated by the tourists is fixed at a certain value.
The further technical scheme is that the first threshold is determined according to the number of tourist attractions in the smart town and the congestion index of the smart town, and the calculation formula of the first threshold is as follows:
Figure 107548DEST_PATH_IMAGE001
wherein K 1 、K 2 、K 3 As a constant, J is the crowding index of the smart town, and L is the number of tourist attractions within the smart town.
The further technical scheme is that the identity information at least comprises the age of the tourist, the place of the resident and the identity card number.
The technical scheme is that the ticket discount result is calculated by the following steps:
s11, extracting the age of the tourist, judging whether the age is greater than a first age threshold or less than a second age threshold, if so, not calculating the identity discount characteristic, and directly outputting a ticket discount result with zero discount; if not, entering the step S12;
s12, sending the age and the household location of the tourist into a prediction model based on an ABC-SVR algorithm to obtain the identity discount characteristic of the tourist;
s13, constructing an input set based on the identity discount feature of the tourist and the consumption amount of the tourist;
and S14, sending the input set into a prediction model of a GA-KNN algorithm to obtain a ticket discount result.
Firstly, the age of the tourist is determined, when the age is greater than a certain value, the identity discount characteristic does not need to be constructed, the identity discount characteristic of the tourist is obtained through a prediction model based on an ABC-SVR algorithm, then the ticket discount amount is determined according to the identity discount characteristic and the consumption amount of the tourist, the calculation result of the prediction model is more accurate through calculation in steps, the data size needing to be processed by each model is greatly reduced, and the efficiency of ticket discount result prediction is improved.
The further technical scheme is that another calculation step of the ticket discount result is as follows:
s21, extracting the age of the tourist, judging whether the age is greater than a first age threshold or less than a second age threshold, if so, not calculating the identity discount characteristic, and directly outputting a ticket discount result with zero discount; if not, the step S22 is carried out;
s22, judging whether the consumption amount of the tourist is larger than a first amount threshold value, if so, not calculating the identity discount characteristic, and directly outputting a ticket discount result with discount of zero; if not, entering the step S23;
s23, sending the age and the household location of the tourist into a prediction model based on an ABC-SVR algorithm to obtain the identity discount characteristic of the tourist;
s24, constructing an input set based on the identity discount feature of the tourist and the consumption amount of the tourist;
and S25, the input set is sent into a prediction model of a GA-KNN algorithm to obtain a ticket discount result.
Through determining the age and the consumption amount of the tourist at first, the ticket discount result of the tourist is obtained through simple calculation, the prediction efficiency of the ticket result is further improved, and the experience of the tourist is improved.
The further technical scheme is that the first money threshold is determined according to the average crowding index of the intelligent town in the last month and the total price of the scenic spots in a form of expert scoring.
The further technical scheme is that the calculation formula of the expense accounting result is as follows:
Figure 392030DEST_PATH_IMAGE002
wherein P is x The price of the entrance ticket of the x-th scenic spot, n is the number of scenic spots entered by the passenger, J 1 The result is calculated for the cost.
On the other hand, the invention provides an intelligent expense accounting method for a smart small town scenic spot, which adopts the intelligent expense accounting system for the smart small town scenic spot and comprises the following specific steps:
s31, acquiring identity information of the tourists and shopping money of the tourists, and the types and the number of the tourists entering scenic spots;
s32, obtaining a ticket discount result of the tourist based on the identity information of the tourist and the shopping amount of the tourist;
and S33, obtaining a fee accounting result of the tourist based on the ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and the price corresponding to the type of the scenic spot, collecting the fee for the tourist according to the fee accounting result, and issuing the ticket.
In another aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed in a computer, causes the computer to execute the above intelligent settlement method for a town scenic spot.
In another aspect, a computer program product is provided in an embodiment of the present application, where the computer program product stores instructions that, when executed by a computer, cause the computer to implement the intelligent expense accounting method for smart town scenic spots.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 is a block diagram of an intelligent fee accounting system in an intelligent small town scenic spot according to embodiment 1.
Fig. 2 is a flowchart of the steps of calculating the ticket discount result in embodiment 1.
Fig. 3 is a flowchart of another calculation step of the ticket discount result in embodiment 1.
Fig. 4 is a flowchart of an intelligent fee accounting method for intelligent township scenic spots according to embodiment 2.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus their detailed description will be omitted.
The terms "a," "an," "the," "said" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.
Example 1
To solve the above problem, according to an aspect of the present invention, as shown in fig. 1, there is provided an intelligent expense accounting system for a smart town scenic spot, which includes:
the system comprises a scenic spot ticket selling device, a consumption management system, a ticket discount construction module, a cost accounting module and an export ticket selling device;
the scenic spot ticketing device is placed in scenic spots in a small intelligent town, the identity information of tourists is read, the types and the number of the tourists entering the scenic spots are recorded, the identity information of the tourists is transmitted to the entrance ticket discount construction module, and the types and the number of the tourists entering the scenic spots are transmitted to the charge accounting module;
specifically, for example, the number of the tourists entering the scenic spot A and the scenic spot B is 2, and the identity information of the tourists can contain information such as gender, age, identity card number and the like which can reflect the age of the tourists and the unique identification of the tourists.
The ticket discount construction module adopts a prediction model based on an ABC-SVR algorithm and a GA-KNN algorithm to construct a ticket discount result according to the identity information of the tourist and the consumption amount of the tourist, and transmits the discount result to the expense accounting module;
specifically, for example, one ticket discount result can be obtained through the ABC-SVR algorithm, another ticket discount result can be obtained through the GA-KNN algorithm, and the two ticket discount results are superposed to obtain the ticket discount result.
The charge accounting module is responsible for obtaining a charge accounting result of the tourist based on the ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and the price corresponding to the type of the scenic spot, and transmitting the charge accounting result to the export ticket selling device;
specifically, for example, the types of the tourist entering the scenic spots include a scenic spot a and a scenic spot B, the ticket of the scenic spot a is 50 yuan, the ticket of the scenic spot B is 100 yuan, the discount result of the ticket is five yuan, and the total cost accounting result is 75 yuan.
The export ticket selling device is arranged at an export of the intelligent town, collects the cost according to the cost accounting result of the tourists and issues tickets for the tourists.
The tourist attraction ticket selling device is arranged firstly, so that the number and the type of tourists entering the attraction are counted, the identity information of the tourists is read, the identity information is transmitted to the ticket discount construction module, the ticket discount construction module constructs a ticket discount result based on the identity information and the consumption amount of the tourists, the technical problem that the ticket charging is not corrected according to other consumption of the tourists and other consumption in a smart town is not pulled is solved, the economic benefit of the smart town is greatly reduced, the economic benefit of the smart town is further improved, the ticket result is transmitted to the charge accounting module, the charge accounting module is used for obtaining the charge accounting result of the tourists based on the discount result, the type and the number of the attraction and the price corresponding to the type of the attraction, the technical problem that the charge accounting standard is inaccurate is solved, the charge of the entrance ticket is caused by the fact that the discount is more accurately realized, the entrance of the tourist is arranged at the exit of the small town by the tourist selling device, the charge accounting is charged according to the number of the tourist attractions, the fixed charge is solved, the waste of the user is further caused, and the user experiences are greatly reduced, and the waste of the user is further reduced.
Through based on sight spot ticket selling device, confirm the quantity and the type that the visitor got into the sight spot to can charge according to the quantity of the sight spot that the visitor got into, the type that gets into the sight spot, thereby very big reduction consumer's queuing time, also make the economic income of the place of other non-sight spots in the wisdom town obtain the promotion of certain degree.
The ticket discount result is formed based on the identity of the user and the shopping amount, so that other economic income inside the small town can be promoted, the calculation mode of the ticket is more scientific and correct, and the competitiveness of the small town is improved.
The ticket discount result is constructed by adopting the prediction model based on the ABC-SVR algorithm and the GA-KNN algorithm, so that the advantages of low generalization error, easy interpretability, data disturbance resistance and small storage of the SVR algorithm and the advantage that the KNN algorithm is not easily influenced by small error probability are combined, the anti-interference capability of the overall model is further improved, the loose variable of the SVR algorithm is optimized based on the ABC algorithm, the K value of the KNN algorithm is optimized by adopting the GA algorithm, and the accuracy and the efficiency of the prediction result are improved to a certain extent.
In another possible embodiment, the attraction ticketing apparatus determines a price corresponding to the type of the attraction according to the type of the visitor entering the attraction, and transmits the price to the fee accounting module.
In another possible embodiment, when the number of visitors entering the attraction recorded by the attraction ticketing apparatus is greater than the first threshold, no further attraction is recorded after the first threshold.
Specifically, for example, the first threshold is 3, when the number of the sights that the visitor enters is 4, only the first three are recorded, and no longer are recorded for the sights behind, or when the total amount of money of the entrance tickets that the visitor enters the sights is greater than a certain threshold, the sights that the total number of tickets is greater than the certain threshold are not recorded again.
When the number of the tourists entering the scenic spots is large, the tourists can experience the scenic spots in order to ensure that the number of the scenic spots calculated by the tourists is fixed at a certain value.
In another possible embodiment, the first threshold is determined according to the number of tourist attractions inside the smart town and the congestion index of the smart town, and the calculation formula of the first threshold is as follows:
Figure 180994DEST_PATH_IMAGE003
wherein K 1 、K 2 、K 3 As a constant, J is the crowding index of the smart town, and L is the number of tourist attractions within the smart town.
In another possible embodiment, the identity information at least includes the age of the guest, the place of residence, and the identification number.
In another possible embodiment, as shown in fig. 2, the ticket discount result is calculated by:
s11, extracting the age of the tourist, judging whether the age is greater than a first age threshold or less than a second age threshold, if so, not calculating the identity discount characteristic, and directly outputting a ticket discount result with zero discount; if not, entering step S12;
s12, sending the age and the household location of the tourist into a prediction model based on an ABC-SVR algorithm to obtain the identity discount characteristic of the tourist;
s13, constructing an input set based on the identity discount characteristics of the tourists and the consumption amount of the tourists;
and S14, the input set is sent into a prediction model of a GA-KNN algorithm, and an entrance ticket discount result is obtained.
Firstly, the age of the tourist is determined, when the age is greater than a certain value, the identity discount characteristic does not need to be constructed, the identity discount characteristic of the tourist is obtained through a prediction model based on an ABC-SVR algorithm, then the ticket discount amount is determined according to the identity discount characteristic and the consumption amount of the tourist, the calculation result of the prediction model is more accurate through calculation in steps, the data size needing to be processed by each model is greatly reduced, and the efficiency of ticket discount result prediction is improved.
In another possible embodiment, as shown in fig. 3, another calculation step of the ticket discount result is:
s21, extracting the ages of the tourists, judging whether the ages are greater than a first age threshold or smaller than a second age threshold, if so, not calculating the identity discount features, and directly outputting a ticket discount result with the discount of zero; if not, entering the step S22;
s22, judging whether the consumption amount of the tourist is larger than a first amount threshold value, if so, not calculating the identity discount characteristic, and directly outputting a ticket discount result with discount of zero; if not, entering the step S23;
s23, sending the age and the household location of the tourist into a prediction model based on an ABC-SVR algorithm to obtain the identity discount characteristic of the tourist;
s24, constructing an input set based on the identity discount characteristics of the tourists and the consumption amount of the tourists;
and S25, the input set is sent into a prediction model of a GA-KNN algorithm to obtain a ticket discount result.
Through determining the age and the consumption amount of the tourist at first, the ticket discount result of the tourist is obtained through simple calculation, the prediction efficiency of the ticket result is further improved, and the experience of the tourist is improved.
In another possible embodiment, the first amount threshold is determined based on an average congestion index of the intelligent town of up to one month, a total price of the attraction, and a form of expert scoring.
Specifically, for example, when the average congestion index of the last month is greater than 90 percent, the total price of the scenic spot is 1000 yuan, the result of the first expert is 2000 yuan, the result of the second expert is 1500 yuan, the first amount threshold is 1750 yuan, and when the average congestion index of the last month is less than 30 percent, the total price of the scenic spot is 1000 yuan, the result of the first expert is 800 yuan, and the result of the second expert is 600 yuan, the first amount threshold is 700 yuan.
In another possible embodiment, the calculation formula of the cost accounting result is:
Figure 141997DEST_PATH_IMAGE004
wherein P is x The price of the entrance ticket of the x-th scenic spot, n is the number of scenic spots entered by the passenger, J 1 The result is calculated for the cost.
Example 2
As shown in fig. 4, the present invention provides another aspect, in which the present invention provides an intelligent expense accounting method for a smart small-town scenic spot, the intelligent expense accounting system for a smart small-town scenic spot comprises the following steps:
s31, acquiring identity information of the tourist and shopping amount of the tourist, and type and number of the tourist entering the scenic spot;
s32, obtaining a ticket discount result of the tourist based on the identity information of the tourist and the shopping amount of the tourist;
and S33, obtaining a fee accounting result of the tourist based on the ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and the price corresponding to the type of the scenic spot, collecting the fee for the tourist according to the fee accounting result, and issuing the ticket.
Example 3
In an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed in a computer, the computer program is enabled to execute the intelligent expense accounting method for smart town scenic spots.
Example 4
In an embodiment of the present application, a computer program product is provided, where the computer program product stores instructions that, when executed by a computer, cause the computer to implement the intelligent expense accounting method for smart town scenic spots.
In embodiments of the present invention, the term "plurality" means two or more unless explicitly defined otherwise. The terms "mounted," "connected," "secured," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection. Specific meanings of the above terms in the embodiments of the present invention can be understood by those of ordinary skill in the art according to specific situations.
In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or units must have a specific direction, be configured in a specific orientation, and operate, and thus, should not be construed as limiting the embodiments of the present invention.
In the description herein, the appearances of the phrase "one embodiment," "a preferred embodiment," or the like, are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims (10)

1. The utility model provides a smart town scenic spot intelligence expense accounting system which characterized in that specifically includes:
the system comprises a scenic spot ticketing device, a consumption management system, a ticket discount construction module, a cost accounting module and an export ticketing device;
the scenic spot ticketing device is placed in a scenic spot in a small intelligent town, reads the identity information of the tourist, records the type and the number of the tourist entering the scenic spot, transmits the identity information of the tourist to the entrance ticket discount construction module, and transmits the type and the number of the tourist entering the scenic spot to the fee accounting module;
the ticket discount construction module adopts a prediction model based on an ABC-SVR algorithm and a GA-KNN algorithm to construct a ticket discount result according to the identity information of the tourist and the consumption amount of the tourist, and transmits the discount result to the expense accounting module;
the charge accounting module is responsible for obtaining a charge accounting result of the tourist based on the ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and the price corresponding to the type of the scenic spot, and transmitting the charge accounting result to the export ticket selling device;
the export ticket selling device is arranged at an export of the intelligent town, collects the fee according to the fee accounting result of the tourist and issues the ticket to the tourist.
2. The intelligent charge accounting system of claim 1 wherein the attraction ticketing apparatus determines a price corresponding to the type of attraction based on the type of attraction entered by the visitor and transmits the price to the charge accounting module.
3. The intelligent small town scenic spot cost accounting system of claim 1 wherein when the number of visitors entering the attraction as recorded by the attraction ticketing apparatus is greater than a first threshold, no further recordings are made to attractions beyond the first threshold.
4. The intelligent expense accounting system of claim 3 wherein the first threshold is determined according to the number of tourist attractions inside the intelligent town and the congestion index of the intelligent town, and the first threshold is calculated by the formula:
Figure 853873DEST_PATH_IMAGE001
wherein K 1 、K 2 、K 3 As a constant, J is the crowding index of the smart town, and L is the number of tourist attractions within the smart town.
5. The intelligent expense accounting system of claim 1 wherein the identification information comprises at least the age of the guest, the location of the resident, and an identification number.
6. The intelligent fare accounting system for smart town scenic spots as claimed in claim 1, wherein said ticket discount result is calculated by the steps of:
s11, extracting the ages of the tourists, judging whether the ages are greater than a first age threshold or smaller than a second age threshold, if so, not calculating the identity discount features, and directly outputting a ticket discount result with zero discount; if not, entering step S12;
s12, sending the age and the household location of the tourist into a prediction model based on an ABC-SVR algorithm to obtain the identity discount characteristic of the tourist;
s13, constructing an input set based on the identity discount characteristics of the tourists and the consumption amount of the tourists;
and S14, the input set is sent into a prediction model of a GA-KNN algorithm, and an entrance ticket discount result is obtained.
7. The intelligent fare accounting system for intelligent township scenic spots as claimed in claim 1 wherein said additional step of calculating the discount result of entrance ticket is:
s21, extracting the ages of the tourists, judging whether the ages are greater than a first age threshold or smaller than a second age threshold, if so, not calculating the identity discount features, and directly outputting a ticket discount result with the discount of zero; if not, entering the step S22;
s22, judging whether the consumption amount of the tourist is larger than a first amount threshold value, if so, not calculating the identity discount characteristic, and directly outputting a ticket discount result with discount of zero; if not, entering step S23;
s23, sending the ages and the household registers of the tourists to a prediction model based on an ABC-SVR algorithm to obtain identity discount characteristics of the tourists;
s24, constructing an input set based on the identity discount characteristics of the tourists and the consumption amount of the tourists;
and S25, the input set is sent into a prediction model of a GA-KNN algorithm to obtain a ticket discount result.
8. The intelligent expense accounting system of claim 7 wherein the first amount threshold is determined by expert scoring based on an average congestion index of the intelligent town at a month, a total price of the attraction.
9. The intelligent expense accounting system of claim 1 wherein the calculation formula of the expense accounting result is:
Figure 896172DEST_PATH_IMAGE002
wherein P is x The price of the entrance ticket for the xth attraction, n is the number of attractions entered by the passenger, J 1 The result is the cost accounting.
10. An intelligent expense accounting method for intelligent small town scenic spots, which adopts the intelligent expense accounting system for intelligent small town scenic spots as claimed in any one of claims 1 to 9, and comprises the following steps:
s31, acquiring identity information of the tourists and shopping money of the tourists, and the types and the number of the tourists entering scenic spots;
s32, obtaining a ticket discount result of the tourist based on the identity information of the tourist and the shopping amount of the tourist;
and S33, obtaining a fee accounting result of the tourist based on the ticket discount result of the tourist, the type and the number of the tourist entering the scenic spot and the price corresponding to the type of the scenic spot, collecting the fee for the tourist according to the fee accounting result, and issuing the ticket.
CN202211089748.4A 2022-09-07 2022-09-07 Intelligent expense accounting method and system for intelligent small town scenic spot Pending CN115170211A (en)

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