CN105550951A - Decision assistant system and method of tour travel - Google Patents

Decision assistant system and method of tour travel Download PDF

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Publication number
CN105550951A
CN105550951A CN201511023269.2A CN201511023269A CN105550951A CN 105550951 A CN105550951 A CN 105550951A CN 201511023269 A CN201511023269 A CN 201511023269A CN 105550951 A CN105550951 A CN 105550951A
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data
module
scenic spot
garden
sight spot
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孙知信
蒋孝雯
宫婧
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Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
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Nanjing Post and Telecommunication University
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Priority to CN201511023269.2A priority Critical patent/CN105550951A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/14Travel agencies

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  • Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a decision assistant system and method of tour travel. The system comprises a scenic spot people number acquisition module, a scenic spot database module, a query request module and a request processing module, wherein the scenic spot people number acquisition module collects the garden entering people number and the garden leaving people number of each scenic spot in real time independently through an electronic checking-in way in a garden entrance and exit within business hours; the scenic spot database module stores the geographic position of each scenic spot, tourist people number data which comprises historical data and real-time data, and the data of an area, which can be used for playing, of the scenic spot, and carries out screening processing on the data when a user emits a query request; the query request module emits the query request when the user inputs a scenic spot which hopes to be inquired on a client side; the quest processing module can be divided into a calculation module and a judgment module, wherein the calculation module carries out calculation on data screened through a database by a formula to obtain a result; and the judgment module judges a calculation result obtained by the calculation module to obtain a judgment result.

Description

A kind of tourism trip aid decision-making system and method
Technical field
The present invention relates to a kind of tourism trip aid decision-making system and method, belong to communication technical field.
Background technology
Tourist industry is in the stage of fast development at present, has been listed in the large industry in third place in the world at present, has become part the most active in many international trades and service sector in the world.From world wide, the industry size of tourist industry is increasing, and economic benefit increases year by year, drives the development of other industries, progressively become many national mainstay of the national economy industries while self development.See domestic again, along with economic development, people's income level improves, and material requisite is met gradually, and people rise gradually for the demand of cultural aspect.Travel as an important component part of people's cultural demand, be in the preferably opportunity of development, comply with the trend of world development.Tourist industry as a sunrise industry, China always held stationary comparatively fast develop, economic development has driven the development of tourism, and tourism has also pulled the lifting of Chinese national economy effectively conversely.
But, while tourist industry develops rapidly, also there are some problems.From sight spot management view, national conditions due to China are that people are happy in trip tourism festivals or holidays, frequent appearance is the travel surge phase one by one, some sight spot number has a full house, not only visitor cannot really follow one's bent visit sight spot, and easily causes by the crowded visitor's casualty accident caused, and tourist facilities can't bear the heavy load and be seriously damaged, tourist environment is contaminated, and tourist resources is destroyed etc.From visitor self, there are two kinds of trip modes of travelling: plan ahead and offhand decision.If traditional mode of tourism---formulate the plan of going on a tour in advance, after arrival, buy admission ticket or online purchase electronic ticket again, probably can run into sight spot due to number more and make the situation such as decision that temporarily limits into garden number and cannot tour plan be completed.If go on a tour temporarily, the possibility running into this type of situation can be larger.These mode efficiency are not high, do not consider other factors.If an auxiliary visitor can be provided before visitor's trip make the result of whether going to Tourism Decision-Making, will offer convenience for visitor, save many troubles.
Currently available technology exists following not enough, comprise: 1, a kind of method and system of statistical treatment visitor density distribution, by obtaining visitor's identification tag data and the flowing time at scenic spot, viewing and admiring time, viewing location, status information, the visitor density distribution at programming count scenic spot or certain sight spot, by the Density Distribution forecast model prediction velocity of liquid assets of visitor and the whereabouts of visit.By analysis of history data, simultaneously in conjunction with real time data, obtain visitor density forecast of distribution and visitor density analysis.But consider from the angle of scenic spot management, unpromising visitor provides decision references.2, scenic spot visitor statistics and a leading method, the method, by carrying out number of people image recognition to the visitor's distributed image gathered, is carried out visitor's demographics, the visitor's number in image can be detected; Also disclose a kind of scenic spot visitor's leading method, by calculate visitor density, each sight spot space-time load, dredge separation capacity and dredge resistance, computational resource matching degree, choose resource matched degree maximum dredge that resource sight spot carries out visitor dredge shunting.But, adopt image to detect scenic spot number, there is certain error, and used device cost be higher.And the present invention can solve problem above well.
Summary of the invention
The object of the invention is to solve above-mentioned existing deficiency, and provide a kind of tourism trip aid decision-making system, this system comprises sight spot number acquisition module, scene data library module, inquiry request module and request processing module.
Sight spot number acquisition module: enter garden number respectively by entering garden and outlet each sight spot of wicket electronics ticket checking Real-time Collection and go out garden number within the business hours.
Scene data library module: the geographic position (i.e. latitude, longitude) storing each sight spot, visitor people's logarithmic data, comprise historical data (namely entering garden number every day of the first three years), real time data and sight spot can for area data of playing; User carries out Screening Treatment to data when sending inquiry request.
Inquiry request module: user wants the sight spot inquired about in client input, send inquiry request.
Request processing module: this module can be divided into computing module and judge module.
Computing module: use formula to calculate result to the data that database screens;
Judge module: according to criterion, judges the result of calculation that computing module obtains, draws judged result;
Present invention also offers a kind of implementation method of trip aid decision-making system of travelling, the method comprises the steps:
Step 1: by the geographic position at each sight spot, can for area A input database of playing;
Step 2: sight spot Real-time Collection enters garden number n iwith go out garden number n o(wherein i represents into garden; O indicates garden);
Step 3: use communication network that number n real-time in sight spot is sent to database, become historical data when one day enough and also no longer upgrade, afterwards all intraday numerical value is obtained mean value stored in database as historical data; The data of the first three years every day are also stored in database;
Step 4: user is first in client, and the sight name of inquiry is wanted in above input namely (to comprise mobile device), then selects enquiry of historical data or real time data, sends inquiry request;
Step 5: two class data deliver to computing module, comprising:
First number in formulae discovery scenic spot is used to situation i wherein n k(k=1,2,3 that is n1, n2, n3 are respectively the data of the first three years, the first two years, the previous year).
To situation ii, use number n=n in formulae discovery scenic spot i-n o, wherein n ifor entering garden number, n ofor going out garden number.
Afterwards to situation i and situation ii, according to formula draw the scenic spot density result d of calculating; , wherein n is scenic spot number, and A is that scenic spot can for area of playing;
Meanwhile, centered by this geographic position, sight spot, filter out apart from the sight spot within the scope of the 5km of this sight spot;
Step 6: the scenic spot density result d of calculating is delivered to judge module, according to criterion (supposing with 4 for separation), that is:
When scenic spot density d ∈ (0,4) shows that scenic spot is fewer in number, judged result is that recommendation is gone to;
When scenic spot density d ∈ (4,9) shows that scenic spot number is more, judged result is not for recommend to go to;
Step 7: the net result of scenic spot number n and judgement is fed back to user, helps user to make a policy and determines whether go to.
Further, step 4 of the present invention comprises: according to the sight spot key word comprised in inquiry request, takes out for the area data A that plays, can comprising of this sight spot from database:
Situation i enquiry of historical data: the data of taking out the first three years, the first two years, the previous year from database, are respectively n1, n2, n3;
Situation ii inquires about real time data: the scenic spot of taking out current storage from database enters garden number real time data n iwith go out garden number real time data n o;
Further, step 7 of the present invention comprises:
Step 7-1: sight spot admission ticket is bought link and is presented on feedback result interface, admission ticket bought by the internet ticket selling platform that can be directly connected to corresponding sight spot when user clicks;
Step 7-2: sight spot near filtering out from the close-by examples to those far off is arranged display on a user interface, user can click wherein any one inquiry, also can re-enter the sight name wanting to inquire about, start repetition step 5.
Beneficial effect:
1, the present invention directly can see the real-time number at scenic spot, recommends, when looked into scenic spot number is too much, other can be provided to select to inquiry periphery scenic spot, scenic spot.
2, the present invention can determine whether go on a journey according to the crowded state at scenic spot, avoids the worry to one's heart's content because number too much cannot be played.
Accompanying drawing explanation
Fig. 1 is system architecture schematic diagram of the present invention.
Fig. 2 is method flow diagram of the present invention.
Embodiment
Below in conjunction with Figure of description, the invention is described in further detail.
As shown in Figure 1, the invention provides a kind of tourism trip aid decision-making system, this system comprises sight spot number acquisition module, scene data library module, inquiry request module and request processing module.The concrete function of modules is as follows:
Sight spot number acquisition module: enter garden number respectively by entering garden and outlet each sight spot of wicket electronics ticket checking Real-time Collection and go out garden number within the business hours.
Scene data library module: the geographic position (i.e. latitude, longitude) storing each sight spot, visitor people's logarithmic data, comprise historical data (namely entering garden number every day of the first three years), real time data and sight spot can for area data of playing; User carries out Screening Treatment to data when sending inquiry request.
Inquiry request module: user wants the sight spot inquired about in client input, send inquiry request.
Request processing module: this module can be divided into computing module and judge module.
(1) computing module: use formula to calculate result to the data that database screens;
(2) judge module: according to criterion, judges the result of calculation that computing module obtains, draws judged result;
Present invention also offers a kind of implementation method of trip aid decision-making system of travelling, the method comprises the steps:
Step 1: by the geographic position at each sight spot, can for area A input database of playing;
Step 2: sight spot Real-time Collection enters garden number n iwith go out garden number n o, wherein i represents into garden; O indicates garden;
Step 3: use communication network that number n real-time in sight spot is sent to database, become historical data when one day enough and also no longer upgrade, afterwards all intraday numerical value is obtained mean value stored in database as historical data; The data of the first three years every day are also stored in database;
Step 4: user is first in client, and the sight name of inquiry is wanted in above input namely (to comprise mobile device), then selects enquiry of historical data or real time data, sends inquiry request;
Step 5: according to the sight spot key word comprised in inquiry request, from database, take out for the area data A that plays, can comprising of this sight spot:
Situation i enquiry of historical data: the data of taking out the first three years, the first two years, the previous year from database, are respectively n1, n2, n3;
Situation ii inquires about real time data: the scenic spot of taking out current storage from database enters garden number and goes out garden number real time data n i, n o;
Step 6: two class data deliver to computing module, comprising:
First number in formulae discovery scenic spot is used to situation i wherein, n1, n2, n3 are respectively the data of the first three years, the first two years, the previous year.
To situation ii, use number n=n in formulae discovery scenic spot i-n o(n ifor entering garden number, n ofor going out garden number)
Afterwards to situation i and situation ii, according to formula draw the scenic spot density result d (wherein n is scenic spot number, and A is that scenic spot can for area of playing) of calculating;
Meanwhile, centered by this geographic position, sight spot, filter out apart from the sight spot within the scope of the 5km of this sight spot;
Step 7: the scenic spot density result d of calculating is delivered to judge module, according to criterion (supposing with 4 for separation):
Scenic spot density result d ∈ (0,4) shows that scenic spot is fewer in number, and judged result is that recommendation is gone to;
Scenic spot density result d ∈ (4,9) shows that scenic spot number is more, and judged result is not for recommend to go to;
Step 8: the net result of scenic spot number n and judgement is fed back to user, helps user to make a policy and determines whether go to.
Step 9: sight spot admission ticket is bought link and is presented on feedback result interface, admission ticket bought by the internet ticket selling platform that can be directly connected to corresponding sight spot when user clicks;
Step 10: sight spot near filtering out from the close-by examples to those far off is arranged display on a user interface, user can click wherein any one inquiry, also can re-enter the sight name wanting to inquire about, start repetition step 5.
Embody rule scene of the present invention specifically comprises:
When user formulates plan of travel in advance, can determine whether go on a journey with reference to the trip suggestion drawn by historical data; Can the trip suggestion drawn according to real time data as a reference when user's offhand decision is gone on a journey.
Along with popularizing of smart machine, user can conveniently by client, and namely (main mobile client) obtains the trip aid decision making advisory opinion of target tourist attractions.

Claims (4)

1. a tourism trip aid decision-making system, is characterized in that: described system comprises sight spot number acquisition module, scene data library module, inquiry request module and request processing module;
Sight spot number acquisition module: enter garden number respectively by entering garden and outlet each sight spot of wicket electronics ticket checking Real-time Collection and go out garden number within the business hours;
Scene data library module: the geographic position (i.e. latitude, longitude) storing each sight spot, visitor people's logarithmic data, comprise historical data (namely entering garden number every day of the first three years), real time data and sight spot can for area data of playing; User carries out Screening Treatment to data when sending inquiry request;
Inquiry request module: user wants the sight spot inquired about in client input, send inquiry request;
Request processing module: this module is divided into computing module and judge module, comprising:
Computing module: use formula to calculate result to the data that database screens;
Judge module: according to criterion, judges the result of calculation that computing module obtains, draws judged result.
2. travel trip aid decision-making system an implementation method, it is characterized in that, described method comprises the steps:
Step 1: by the geographic position at each sight spot, can for area A input database of playing;
Step 2: sight spot Real-time Collection enters garden number n iwith go out garden number n o(wherein i represents that, into garden, o indicates garden);
Step 3: use communication network that number n real-time in sight spot is sent to database, become historical data when one day enough and also no longer upgrade, afterwards all intraday numerical value is obtained mean value stored in database as historical data; The data of the first three years every day are also stored in database;
Step 4: user is first in client, and the sight name of inquiry is wanted in above input namely (to comprise mobile device), then selects enquiry of historical data or real time data, sends inquiry request;
Step 5: two class data deliver to computing module, comprising:
First number in formulae discovery scenic spot is used to situation i wherein n k(k=1,2,3 that is n1, n2, n3 are respectively the data of the first three years, the first two years, the previous year);
To situation ii, use number n=n in formulae discovery scenic spot i-n o, wherein n ifor entering garden number, n ofor going out garden number;
Afterwards to situation i and situation ii, according to formula draw the scenic spot density result d of calculating; , wherein n is scenic spot number, and A is that scenic spot can for area of playing;
Meanwhile, centered by this geographic position, sight spot, filter out apart from the sight spot within the scope of the 5km of this sight spot;
Step 6: the scenic spot density result d of calculating is delivered to judge module, according to criterion (supposing with 4 for separation), that is:
Scenic spot density result d ∈ (0,4) shows that scenic spot is fewer in number, and judged result is that recommendation is gone to;
Scenic spot density result d ∈ (4,9) shows that scenic spot number is more, and judged result is not for recommend to go to;
Step 7: the net result of scenic spot number n and judgement is fed back to user, helps user to make a policy and determines whether go to.
3. the implementation method of a kind of trip aid decision-making system of travelling according to claim 2, it is characterized in that, described step 4 comprises: according to the sight spot key word comprised in inquiry request, takes out for the area data A that plays, can comprising of this sight spot from database:
Situation i enquiry of historical data: the data of taking out the first three years, the first two years, the previous year from database, are respectively n1, n2, n3;
Situation ii inquires about real time data: the scenic spot of taking out current storage from database enters garden number real time data n iwith go out garden number real time data n o.
4. the implementation method of a kind of trip aid decision-making system of travelling according to claim 2, it is characterized in that, described step 7 comprises:
Step 7-1: sight spot admission ticket is bought link and is presented on feedback result interface, admission ticket bought by the internet ticket selling platform being directly connected to corresponding sight spot when user clicks;
Step 7-2: sight spot near filtering out from the close-by examples to those far off is arranged display on a user interface, user clicks wherein any one inquiry, or re-enters the sight name wanting to inquire about, and starts repetition step 5.
CN201511023269.2A 2015-12-30 2015-12-30 Decision assistant system and method of tour travel Pending CN105550951A (en)

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106022500A (en) * 2016-07-13 2016-10-12 桂林电子科技大学 System and method of scenic spot sightseeing reservation and sightseeing time recommendation
CN106528747A (en) * 2016-10-28 2017-03-22 郑州云海信息技术有限公司 Scenic spot screening system and method
CN108846500A (en) * 2018-04-17 2018-11-20 安徽师范大学 Travel history data capture method based on Flickr geographical labels member
CN109413129A (en) * 2017-08-18 2019-03-01 徐子明 City tour tourist's intelligence separate system and shunt method
CN109493434A (en) * 2018-09-13 2019-03-19 贵州欢旅途遇科技有限公司 A kind of tourism data removing management system and its application method based on block chain
CN109840956A (en) * 2019-01-25 2019-06-04 四川思途智旅软件有限公司 It is a kind of unattended to enter garden system
CN111126715A (en) * 2020-01-03 2020-05-08 成都中科大旗软件股份有限公司 Scenic spot passenger flow volume management and control system
CN111144597A (en) * 2019-12-26 2020-05-12 上海擎感智能科技有限公司 Vehicle-mounted terminal based scenic spot ticket purchasing method and system, storage medium and vehicle-mounted terminal
CN111161430A (en) * 2019-12-25 2020-05-15 杭州中威电子股份有限公司 Real-name self-service ticket selling and checking integrated device and method
CN111508123A (en) * 2020-06-30 2020-08-07 中兴软件技术(南昌)有限公司 Intelligent tourism service system and method for scenic spot number prediction
CN112215572A (en) * 2020-10-16 2021-01-12 福建票付通信息科技有限公司 Intelligent park saturation analysis model
CN112801348A (en) * 2021-01-12 2021-05-14 浙江贝迩熊科技有限公司 Scenic spot people stream auxiliary guide system and method based on deep reinforcement learning
CN115577190A (en) * 2022-10-18 2023-01-06 中山大学 Tourist behavior data extraction method
CN117237007A (en) * 2023-09-14 2023-12-15 南京集星互联科技有限公司 Intelligent park operation analysis decision-making system based on big data mining

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106022500A (en) * 2016-07-13 2016-10-12 桂林电子科技大学 System and method of scenic spot sightseeing reservation and sightseeing time recommendation
CN106022500B (en) * 2016-07-13 2021-11-02 桂林电子科技大学 Scenic spot tour reservation and tour opportunity recommendation system and method
CN106528747A (en) * 2016-10-28 2017-03-22 郑州云海信息技术有限公司 Scenic spot screening system and method
CN109413129A (en) * 2017-08-18 2019-03-01 徐子明 City tour tourist's intelligence separate system and shunt method
CN108846500A (en) * 2018-04-17 2018-11-20 安徽师范大学 Travel history data capture method based on Flickr geographical labels member
CN109493434A (en) * 2018-09-13 2019-03-19 贵州欢旅途遇科技有限公司 A kind of tourism data removing management system and its application method based on block chain
CN109840956B (en) * 2019-01-25 2021-09-10 四川思途智旅软件有限公司 Unattended garden entering system
CN109840956A (en) * 2019-01-25 2019-06-04 四川思途智旅软件有限公司 It is a kind of unattended to enter garden system
CN111161430A (en) * 2019-12-25 2020-05-15 杭州中威电子股份有限公司 Real-name self-service ticket selling and checking integrated device and method
CN111144597A (en) * 2019-12-26 2020-05-12 上海擎感智能科技有限公司 Vehicle-mounted terminal based scenic spot ticket purchasing method and system, storage medium and vehicle-mounted terminal
CN111126715A (en) * 2020-01-03 2020-05-08 成都中科大旗软件股份有限公司 Scenic spot passenger flow volume management and control system
CN111126715B (en) * 2020-01-03 2023-05-12 成都中科大旗软件股份有限公司 Scenic spot passenger flow control system
CN111508123A (en) * 2020-06-30 2020-08-07 中兴软件技术(南昌)有限公司 Intelligent tourism service system and method for scenic spot number prediction
CN112215572A (en) * 2020-10-16 2021-01-12 福建票付通信息科技有限公司 Intelligent park saturation analysis model
CN112801348A (en) * 2021-01-12 2021-05-14 浙江贝迩熊科技有限公司 Scenic spot people stream auxiliary guide system and method based on deep reinforcement learning
CN115577190A (en) * 2022-10-18 2023-01-06 中山大学 Tourist behavior data extraction method
CN115577190B (en) * 2022-10-18 2023-05-30 中山大学 Tourist behavior data extraction method
CN117237007A (en) * 2023-09-14 2023-12-15 南京集星互联科技有限公司 Intelligent park operation analysis decision-making system based on big data mining

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