CN107230330A - A kind of tourist communications management system based on big data - Google Patents
A kind of tourist communications management system based on big data Download PDFInfo
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- CN107230330A CN107230330A CN201710569109.0A CN201710569109A CN107230330A CN 107230330 A CN107230330 A CN 107230330A CN 201710569109 A CN201710569109 A CN 201710569109A CN 107230330 A CN107230330 A CN 107230330A
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- 230000002123 temporal effect Effects 0.000 abstract description 9
- 238000007726 management method Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 3
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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Abstract
The invention discloses a kind of tourist communications management system based on big data, including tourist communications passenger flow Spatial And Temporal Characteristics module, tourist communications passenger flow trajectory analysis module and tourist communications passenger flow warning module, tourist communications passenger flow Spatial And Temporal Characteristics module is used for visitor's demographics, at times scenic spot visitor demographics, the analysis of visitor's trip number of times at times, visitor's travel time is analyzed, visitor's trip distance is analyzed, visitor's trip speed is analyzed and the visualization of passenger flow feature space-time；Tourist communications passenger flow trajectory analysis module is used for tourist flows track identification, the displaying of tourist flows track map, scenic spot visit law-analysing and touring line and recommended；Tourist communications passenger flow warning module is used to predicting that scenic spot passenger flow and can be carried out different grades of early warning by scenic spot after the maximum bearing capacity in passenger flow estimation value and scenic spot is contrasted in short-term in short-term.The present invention has the advantages that to be that Destination Management person and visitor's science decision provide foundation, realization to tourist flows correct guidance.
Description
Technical field
The present invention relates to tourist communications data analysis technique field, and in particular to a kind of tourist communications pipe based on big data
Reason system.
Background technology
In recent years, with the continuous improvement of income level of resident, the change of consumption idea, the increase of spare time, tourism
It is increasingly becoming the key character for weighing quality of residents'life and Happiness Index.Meanwhile, governments at all levels actively hold economic and society
New trend during development and change, using tourism as a kind of industry, by various measures and means, is promoted so that trip
Visitor's number is doubled and redoubled.The growth of tourist flows, on the one hand causes the living standard of resident to be improved, promotes economic hair
Exhibition；On the other hand the problems such as also result in urban road congestion, means of transportation failure, have a strong impact on visitor and go on a tour quality, even
Trigger traffic accidents.Therefore it can be that Destination Management person and visitor's science decision provide foundation, so as to real to need invention badly a kind of
Now to the tourist communications management system of tourist flows correct guidance.
The content of the invention
Foundation can be provided for Destination Management person and visitor's science decision, so as to realize pair it is an object of the invention to provide a kind of
The tourist communications management system based on big data of tourist flows correct guidance.
The present invention is for the used technical scheme that solves the above problems：A kind of described tourist communications based on big data
Management system, including tourist communications passenger flow Spatial And Temporal Characteristics module, tourist communications passenger flow trajectory analysis module, and tourism are handed over
Logical passenger flow warning module, the tourist communications passenger flow Spatial And Temporal Characteristics module is used for visitor's demographics, at times at times
Scenic spot visitor's demographics, visitor are gone on a journey, and number of times is analyzed, visitor's travel time is analyzed, visitor's trip distance is analyzed, visitor's trip
Velocity analysis and the visualization of passenger flow feature space-time；The tourist communications passenger flow trajectory analysis module is used for tourist flows track
Identification, the displaying of tourist flows track map, scenic spot visit law-analysing and touring line are recommended；The tourist communications passenger flow
Warning module is used to predicting scenic spot passenger flow and can passenger flow estimation value and scenic spot maximum bearing capacity are contrasted in short-term by scenic spot in short-term
After carry out different grades of early warning.
Further, foregoing a kind of tourist communications management system based on big data, wherein：When scenic spot, passenger flow is pre- in short-term
It is green when measured value is less than the 40% of maximum bearing capacity, reminds the visit of visitor scenic spot as snug as a bug in a rug, welcome visitor to come；
When passenger flow estimation value is less than the 60% of maximum bearing capacity in short-term at scenic spot, it is blue signal, reminds the visit of visitor scenic spot comfortable, can
Smoothly visit scenic spot；When passenger flow estimation value reaches the 80% of maximum bearing capacity in short-term at scenic spot, yellow early warning is issued, scenic spot is reminded
Visitor takes care；When passenger flow estimation value reaches the 90% of maximum bearing capacity in short-term at scenic spot, orange warning is issued, scenic spot is reminded
Visitor terminates visit as early as possible, enters while limiting visitor, is released news to society, reminds visitor to avoid the period；Work as scenic spot
When passenger flow estimation value reaches maximum bearing capacity in short-term, red early warning is issued, reminds visitor to withdraw as early as possible, while Temporarily Closed, increases
Plus security personnel, traffic police etc., visitor is dredged in time, maintains scenic spot and periphery order.
What the present invention was brought has the beneficial effect that：By grasping tourist communications passenger flow information, tourist communications passenger flow space-time is carried out
Variation characteristic, trip characteristicses, trip law-analysing, in short-term passenger flow early warning, so as to be that Destination Management person and visitor's science decision are carried
For foundation, the correct guidance to tourist flows is realized.
Brief description of the drawings
Fig. 1 is a kind of structural representation of tourist communications management system based on big data of the present invention.
Fig. 2 is tourist communications passenger flow Spatial And Temporal Characteristics block flow diagram in the specific embodiment of the invention.
Fig. 3 is tourist communications passenger flow trajectory analysis block flow diagram in the specific embodiment of the invention.
Fig. 4 is tourist communications passenger flow warning module flow chart in the specific embodiment of the invention.
Embodiment
Below in conjunction with specific accompanying drawing, the present invention is further illustrated.
As shown in figure 1, a kind of described tourist communications management system based on big data, including tourist communications passenger flow space-time
Characteristics analysis module, tourist communications passenger flow trajectory analysis module, and tourist communications passenger flow warning module, the tourist communications visitor
Flowing Spatial And Temporal Characteristics module is used for visitor's demographics, at times scenic spot visitor demographics, visitor's trip number of times at times
Analysis, visitor's travel time are analyzed, visitor's trip distance is analyzed, the analysis of visitor's trip speed and passenger flow feature space-time are visual
Change；The tourist communications passenger flow trajectory analysis module is used for tourist flows track identification, the displaying of tourist flows track map, scenic spot
Go sight-seeing law-analysing and touring line is recommended；The tourist communications passenger flow warning module is used to predict scenic spot passenger flow, simultaneously in short-term
Scenic spot can be subjected to different grades of early warning after passenger flow estimation value is contrasted with the maximum bearing capacity in scenic spot in short-term；In the present embodiment
In, when passenger flow estimation value is less than the 40% of maximum bearing capacity in short-term at scenic spot, it is green, reminds the visit of visitor scenic spot very
Comfortably, visitor is welcome to come；When passenger flow estimation value is less than the 60% of maximum bearing capacity in short-term at scenic spot, it is blue signal, reminds
The visit of visitor scenic spot is comfortable, can smoothly visit scenic spot；When passenger flow estimation value reaches the 80% of maximum bearing capacity in short-term at scenic spot, hair
Cloth yellow early warning, reminds scenic spot visitor to take care；When passenger flow estimation value reaches the 90% of maximum bearing capacity in short-term at scenic spot, hair
Cloth orange warning, reminds scenic spot visitor to terminate visit as early as possible, enters while limiting visitor, is released news to society, reminds visitor
Avoid the period；When passenger flow estimation value reaches maximum bearing capacity in short-term at scenic spot, red early warning is issued, reminds visitor to remove as early as possible
From, while Temporarily Closed, increase security personnel, traffic police etc., visitor is dredged in time, maintains scenic spot and periphery order；
In the present embodiment, tourist communications passenger flow Spatial And Temporal Characteristics module is when in use, it is necessary to during user's tourist option
Empty signature analysis, then input time section and scenic spot, you can obtain domestic visitors distribution situation and space-time analysis figure；User selects
Row signature analysis, then input inquiry time, you can obtain visitor's average travel number of times, time, distance, speed and time and
Distance analysis curve map；
As shown in Fig. 2 the specific programming step of tourist communications passenger flow Spatial And Temporal Characteristics module is as follows：
1st, cellphone subscriber position is matched according to mobile phone signaling data table and base station location table；
2nd, each user profile is read, if complete data enters 3 except making an uproar, otherwise repeatedly 2；
3rd, all user profile have been read, into 4,2 have otherwise been returned to；
4th, 3.2 algorithm is substituted into, computing visitor's recognizer；
5th, location database of the visitor at scenic spot is built, into 6；All location databases of visitor are built, into 8；
6th, each hour visitor number is counted, if completing all periods, into 11, otherwise repeatedly 6；
7th, each hour scenic spot visitor's number is counted, it is no if completing all scenic spots and the search of all periods enters 11
Then repeat 7；
8th, statistics visitor goes on a journey number of times, time, distance daily, if completing all visitors' search enters 9, and otherwise repeatedly 8；
9th, daily visitor's average travel number of times, time, distance and speed are calculated；
10th, visitor's travel time, distance are carried out curve fitting, if having searched for all number of days enters 11, otherwise returned
9；
11st, user's tourist option Spatial And Temporal Characteristics, into 12, user's tourist option trip characteristicses analysis, into 13；
12nd, the query time inputted according to user, exports total domestic visitors, each scenic spot domestic visitors ranking, visitor's spatial distribution
Figure, scenic spot domestic visitors, scenic spot domestic visitors Time-varying analysis figure are exported according to user input query scenic spot；
13rd, the query time inputted according to user, display visitor's average travel number of times, time, distance, speed, the time with
Distance analysis curve.
In the present embodiment, tourist communications passenger flow trajectory analysis module Main Basiss visitor is all in scenic spot position and visitor
The database of position two is analyzed, it is necessary to which user's selection tour is recommended, you can display travelling route is recommended, and every
The support of circuit；Selection trip trajectory analysis, then inputs scenic spot, you can obtain each scenic spot passenger flow trajectory diagram and analysis is tied
Really, the source place of each scenic spot visitor, and each scenic spot service range are intuitively obtained；
As shown in figure 3, the specific programming step of tourist communications passenger flow trajectory analysis module is as follows：
If the 1, visitor's selection tour is recommended, into 2, if user's tourist option trip trajectory analysis enters 5；
2nd, visitor is read in scenic spot position data table；
3rd, operation visitor trip rule algorithm, if completing all periods, into 4, otherwise repeatedly 3；
4th, display travelling route is recommended；
5th, all position data tables of visitor are read；
6th, each scenic spot visitor trip track is read, if completing all scenic spot visitors search, into 7, otherwise repeatedly 6；
7th, the inquiry scenic spot inputted according to user, display scenic spot visitor trip track, analyzes track trip characteristicses.
When in the present embodiment, using tourist communications passenger flow warning module, user selects to need the scenic spot of early warning and pre-
Alert period, the scenic spot of input inquiry, you can obtain scenic spot passenger flow estimation result and passenger flow warning grade；
As shown in figure 4, the specific programming step of tourist communications passenger flow warning module is as follows：
1st, user's selection passenger flow early warning, reads visitor in scenic spot location database；
2nd, each period scenic spot volume of the flow of passengers is counted, if completing the statistics at all periods and scenic spot, is otherwise repeated into 3
2；
3rd, wavelet neural network algorithm is run, the volume of the flow of passengers in short-term is predicted；
4th, the ratio of the maximum passenger flow bearing capacity of the volume of the flow of passengers and scenic spot of each scenic spot prediction is calculated；
5th, scenic spot warning grade is determined according to result of calculation, if having calculated all scenic spots enters 6, otherwise returns to 4；
6th, according to the scenic spot of user input query, scenic spot passenger flow estimation amount and warning grade in short-term are shown.
Exemplified by the maximum bearing capacity of A grades of Shanghai City part tourist attraction, different warning grades can be calculated
The scenic spot volume of the flow of passengers, such as following table：
The maximum bearing capacity of A grades of Shanghai City part tourist attraction
The advantage that the present invention is brought is：By grasping tourist communications passenger flow information, tourist communications passenger flow change in time and space is carried out
Feature, trip characteristicses, trip law-analysing, in short-term passenger flow early warning so that for Destination Management person and visitor's science decision provide according to
According to correct guidance of the realization to tourist flows.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to assert
The specific implementation of the present invention is confined to these explanations, for those skilled in the art, is not taking off
On the premise of from present inventive concept, some simple deduction or replace can also be made, the protection of the present invention should be all considered as belonging to
Scope.
Claims (2)
1. a kind of tourist communications management system based on big data, it is characterised in that：Including tourist communications passenger flow space-time characteristic point
Analyse module, tourist communications passenger flow trajectory analysis module, and tourist communications passenger flow warning module, the tourist communications passenger flow space-time
Characteristics analysis module is used for visitor's demographics, at times scenic spot visitor demographics, the analysis of visitor's trip number of times, trip at times
Objective travel time analysis, the analysis of visitor's trip distance, the analysis of visitor's trip speed and the visualization of passenger flow feature space-time；It is described
Tourist communications passenger flow trajectory analysis module is used for tourist flows track identification, the displaying of tourist flows track map, scenic spot visit rule
Rule analysis and touring line are recommended；The tourist communications passenger flow warning module is used to predict scenic spot passenger flow and can be by scape in short-term
Area carries out different grades of early warning after passenger flow estimation value is contrasted with the maximum bearing capacity in scenic spot in short-term.
2. a kind of tourist communications management system based on big data according to claim 1, it is characterised in that：When scenic spot is short
When passenger flow estimation value when being less than the 40% of maximum bearing capacity, be green, remind the visit of visitor scenic spot as snug as a bug in a rug, welcome trip
Visitor comes；When passenger flow estimation value is less than the 60% of maximum bearing capacity in short-term at scenic spot, it is blue signal, reminds the visit of visitor scenic spot
Comfortably, scenic spot can smoothly be visited；When passenger flow estimation value reaches the 80% of maximum bearing capacity in short-term at scenic spot, yellow early warning is issued,
Scenic spot visitor is reminded to take care；When passenger flow estimation value reaches the 90% of maximum bearing capacity in short-term at scenic spot, orange warning is issued,
Remind scenic spot visitor to terminate visit as early as possible, enter while limiting visitor, released news to society, remind visitor to avoid the time
Section；When passenger flow estimation value reaches maximum bearing capacity in short-term at scenic spot, red early warning is issued, reminds visitor to withdraw as early as possible, while temporarily
Ticket, increase security personnel, traffic police etc. are suspended sale of, visitor is dredged in time, scenic spot and periphery order is maintained.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107610031A (en) * | 2017-10-10 | 2018-01-19 | 东南大学 | A kind of tourist communications associated region big data generation method |
| CN107770721A (en) * | 2017-10-10 | 2018-03-06 | 东南大学 | A kind of tourist communications passenger flow big data method for visualizing |
| CN107833161A (en) * | 2017-10-10 | 2018-03-23 | 东南大学 | A kind of tourist communications management system based on big data |
| CN108053153A (en) * | 2018-02-22 | 2018-05-18 | 海南师范大学 | A kind of ecotourism environment bearing capacity early warning system |
| CN108109082A (en) * | 2017-11-28 | 2018-06-01 | 深圳市赛亿科技开发有限公司 | A kind of Destination Management method and system |
| CN108417040A (en) * | 2018-05-14 | 2018-08-17 | 武汉理工大学 | A kind of characteristic small town trip distribution modeling method |
| CN108537691A (en) * | 2018-06-08 | 2018-09-14 | 延晋 | A kind of region visit intelligent management system and method |
| CN108810808A (en) * | 2018-05-29 | 2018-11-13 | 深圳市综合交通运行指挥中心 | A kind of region passenger flow saturation computation method based on mobile phone signaling data |
| CN108932686A (en) * | 2018-05-09 | 2018-12-04 | 哈尔滨商业大学 | A kind of tourist famous-city tourist flow analysis method based on big data |
| CN110111217A (en) * | 2019-03-27 | 2019-08-09 | 深圳市元征科技股份有限公司 | A kind of Destination Management method, apparatus, block chain node device and storage medium |
| CN111382900A (en) * | 2020-02-03 | 2020-07-07 | 重庆特斯联智慧科技股份有限公司 | Tourism prediction platform for realizing big data analysis and method thereof |
| CN111476691A (en) * | 2019-01-23 | 2020-07-31 | 上海新联纬讯科技发展股份有限公司 | Passenger flow prediction system and prediction method |
| CN112580877A (en) * | 2020-12-22 | 2021-03-30 | 北京东方风景智慧科技有限公司 | Integrated management system in scenic spot |
| CN113361734A (en) * | 2021-06-09 | 2021-09-07 | 合肥工业大学 | Scenic spot passenger flow density statistical system |
-
2017
- 2017-07-12 CN CN201710569109.0A patent/CN107230330A/en not_active Withdrawn
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107610031A (en) * | 2017-10-10 | 2018-01-19 | 东南大学 | A kind of tourist communications associated region big data generation method |
| CN107770721A (en) * | 2017-10-10 | 2018-03-06 | 东南大学 | A kind of tourist communications passenger flow big data method for visualizing |
| CN107833161A (en) * | 2017-10-10 | 2018-03-23 | 东南大学 | A kind of tourist communications management system based on big data |
| CN108109082A (en) * | 2017-11-28 | 2018-06-01 | 深圳市赛亿科技开发有限公司 | A kind of Destination Management method and system |
| CN108053153A (en) * | 2018-02-22 | 2018-05-18 | 海南师范大学 | A kind of ecotourism environment bearing capacity early warning system |
| CN108932686A (en) * | 2018-05-09 | 2018-12-04 | 哈尔滨商业大学 | A kind of tourist famous-city tourist flow analysis method based on big data |
| CN108417040A (en) * | 2018-05-14 | 2018-08-17 | 武汉理工大学 | A kind of characteristic small town trip distribution modeling method |
| CN108417040B (en) * | 2018-05-14 | 2020-09-08 | 武汉理工大学 | Characteristic town traffic distribution prediction method |
| CN108810808A (en) * | 2018-05-29 | 2018-11-13 | 深圳市综合交通运行指挥中心 | A kind of region passenger flow saturation computation method based on mobile phone signaling data |
| CN108810808B (en) * | 2018-05-29 | 2020-08-07 | 深圳市综合交通运行指挥中心 | Regional passenger flow saturation calculation method based on mobile phone signaling data |
| CN108537691A (en) * | 2018-06-08 | 2018-09-14 | 延晋 | A kind of region visit intelligent management system and method |
| CN111476691A (en) * | 2019-01-23 | 2020-07-31 | 上海新联纬讯科技发展股份有限公司 | Passenger flow prediction system and prediction method |
| CN110111217A (en) * | 2019-03-27 | 2019-08-09 | 深圳市元征科技股份有限公司 | A kind of Destination Management method, apparatus, block chain node device and storage medium |
| CN111382900A (en) * | 2020-02-03 | 2020-07-07 | 重庆特斯联智慧科技股份有限公司 | Tourism prediction platform for realizing big data analysis and method thereof |
| CN112580877A (en) * | 2020-12-22 | 2021-03-30 | 北京东方风景智慧科技有限公司 | Integrated management system in scenic spot |
| CN112580877B (en) * | 2020-12-22 | 2024-04-12 | 安徽东方风景建设有限公司 | Comprehensive management system in scenic spot |
| CN113361734A (en) * | 2021-06-09 | 2021-09-07 | 合肥工业大学 | Scenic spot passenger flow density statistical system |
| CN113361734B (en) * | 2021-06-09 | 2023-11-07 | 合肥工业大学 | Scenic spot passenger flow density statistics system |
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Application publication date: 20171003 |