CN116664346A - Scenic spot operation management system and method based on action track - Google Patents
Scenic spot operation management system and method based on action track Download PDFInfo
- Publication number
- CN116664346A CN116664346A CN202310468413.1A CN202310468413A CN116664346A CN 116664346 A CN116664346 A CN 116664346A CN 202310468413 A CN202310468413 A CN 202310468413A CN 116664346 A CN116664346 A CN 116664346A
- Authority
- CN
- China
- Prior art keywords
- scenic spot
- tourist
- scenic
- action
- spots
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000009471 action Effects 0.000 title claims abstract description 148
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004458 analytical method Methods 0.000 claims abstract description 51
- 238000007726 management method Methods 0.000 claims abstract description 50
- 238000012216 screening Methods 0.000 claims description 22
- 230000008569 process Effects 0.000 claims description 18
- 230000007105 physical stamina Effects 0.000 claims description 13
- 239000003086 colorant Substances 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 12
- 230000000284 resting effect Effects 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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
- G06Q50/14—Travel agencies
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Remote Sensing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a scenic spot operation management system and method based on action tracks, comprising an action track database, a tourist customization analysis module and a scenic spot operation management module, wherein the action track database is used for recording action tracks of historical tourists Jing Oushi, the tourist customization analysis module is used for analyzing and judging physical ability and interest label information of tourists, the scenic spot operation management module is used for planning a tourist recommendation scheme for the tourists, and the action track database, the tourist customization analysis module and the scenic spot operation management module are mutually connected.
Description
Technical Field
The invention relates to the technical field of scenic spot operation management, in particular to a scenic spot operation management system and method based on action tracks.
Background
Tourist attraction (tourist attraction) is an area place taking tourism and related activities as main functions or one of main functions, can meet the tourist requirements of tourists for visiting, leisure, vacation, health and fitness and the like, and is provided with corresponding tourist facilities and an independent management area for providing corresponding tourist services. Tourist attractions mainly surround mountains, rivers, lakes, seas, temples, parks and the like. The tourist attraction (tourist attraction) should have a unified management authority and a definite geographical area. Including scenic spots, wen Bo stadiums, temple viewing spots, travel vacation spots, natural protection spots, theme parks, forest parks, geological parks, amusement parks, zoos, plant parks, industry, agriculture, trade, scientific education, military, sports, cultural arts, learning and other various scenic spots.
With the rapid development of traffic facilities, relatives and friends are gathering more and more frequently, people often take friends, parents and classmates to travel in urban scenic spots where the friends, parents and classmates live, and take local personal feelings and promote emotion communication. However, in many cases, the scenic spot with friends and relatives playing together is already a scenic spot with the friends and relatives playing cards after traveling for many times, and the scenic spot is only played to meet the wish of friends and relatives, so that the index of the playing intention of the scenic spot is not very high, and the desire of finding the scenic spot is lacking. Not only reduces interaction with the follower, but also influences the playing experience. The sustainable appeal to tourists is also reduced for scenic spots, so that scenic spot operation income cannot be further increased.
Disclosure of Invention
The invention aims to provide a scenic spot operation management system and method based on action tracks, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the scenic spot operation management system based on the action track comprises an action track database, a tourist customization analysis module and a scenic spot operation management module, wherein the action track database is used for recording the action track of a tourist history tour Jing Oushi, the tourist customization analysis module is used for analyzing and judging physical ability and interest label information of the tourist, the scenic spot operation management module is used for planning a tour recommendation scheme for the tourist, and the action track database, the tourist customization analysis module and the scenic spot operation management module are connected with each other.
According to the technical scheme, the action track database comprises a position acquisition module, a speed matching acquisition module and a comprehensive track production module, wherein the position acquisition module is used for acquiring real-time position points in the tourist attraction process, the speed matching acquisition module is used for acquiring real-time action speeds of the tourist attraction process, the comprehensive track generation module is connected with the position acquisition module and the speed matching acquisition module in a network manner, and the comprehensive track generation module is used for acquiring the real-time position and the real-time action speed data of the tourist, fitting and generating an action track map of the single tourist attraction of the tourist and uploading the action track map to the action track database for storage.
According to the technical scheme, the tourist customization analysis module comprises a physical ability judgment module and an interest tag analysis module, wherein the physical ability judgment module is used for analyzing and judging physical ability of the tourist and outputting a judgment result of the physical ability index, and the interest tag analysis module is used for analyzing and judging interested scenic spots according to tourist tour trajectories.
According to the technical scheme, the scenic spot operation management module comprises a candidate scenic spot screening module, a scenic spot label making module and a screening and customizing module, wherein the candidate scenic spot screening module is used for screening candidate scenic spots according to historical scenic spot tour tracks and scenic spot updating public relations, the scenic spot label making module is used for making labels of physical stamina, age suitability and cultural direction for all scenic spots of a scenic spot, and the screening and customizing module is used for customizing scenic spot tour planning schemes for tourists.
A scenic spot operation management method based on action tracks comprises the following steps:
step S1: the tourist plays Jing Oushi for the first time, a tourist client account is registered and opened in a scenic spot operation management system, access to the client position and speed matching information is authorized, the current position and current moving speed matching of the tourist are collected in the tourist scenic spot travelling process, a scenic spot route database is finally called, and a current action track is generated by combining the scenic spot route database;
step S2: establishing an action track database, and storing the action track generated by the history into the action track database;
step S3: setting up a tourist label for each scenic spot in a scenic spot, wherein the tourist label comprises: labels in physical ability, age-appropriate and cultural directions;
step S4: when a tourist goes to a scenic spot to play, directly calling a historical play record in an action track database through a client account, starting to analyze the historical action track, and judging the physical ability of the tourist and the interest labels of the tourist;
step S5: the scenic spot operation management system synchronously screens scenic spots of scenic spots according to historical action tracks of tourists;
step S6: and matching the tourist customization analysis result with the scenic spot operation management to customize the scenic spot tour planning scheme of the scenic spot, and displaying the scenic spot tour planning scheme by a client, wherein the tourist can follow the scenic spot tour planning scheme customized for the tourist based on the historical action track by real-time reference of the client of the scenic spot operation management system in the current travel process.
According to the above technical solution, the method for generating the current action track in step S1 specifically includes:
setting each interval period T to collect tourist position information once, accurately positioning in a scenic spot route database, generating a plurality of groups of positioning position points, synchronously collecting speed distribution information in the tourist walk process, recording the speed distribution information synchronously collected by all the positioning position points, carrying out color-imparting treatment on all the positioning position points, respectively generating four colors of red, orange, yellow and green from fast to slow according to the speed distribution information of each position point, and finally carrying out linear fitting treatment on all the positioning position points to generate a multicolor action track diagram; the same color is further correspondingly divided into dark color, normal color and light color from fast to slow.
According to the above technical solution, the method for determining the interest tag of the tourist in step S4 specifically includes:
the method comprises the steps of calling action tracks of all historical playing of tourists, firstly marking scenic spots which are already played according to the historical playing action tracks, and overlapping marks when the same scenic spots are played for a plurality of times;
then, carrying out image recognition analysis on the action track, and specifically: setting coverage areas for all scenic spots in the scenic spot, when the action tracks of tourists are overlapped with the coverage areas of the scenic spots, acquiring the action track color of the overlapped part, and repeating the steps to acquire all the action tracks of the overlapped part with the scenic spots;
then, after the color with the largest color ratio of the action track of the part overlapped with the scenic spot is identified, outputting the color as the action track analysis color of the corresponding scenic spot, and sequencing in the order of green, yellow, orange and red;
finally, combining mark superposition, when the mark number is more than or equal to 2, the higher the mark number is, the higher the interestingness sorting priority is, and when the mark number of the scenic spot is equal to 1 or 0, the interestingness sorting priority is the same; for the same interest ranking degree priority, performing priority ranking through the action track analysis colors, and when the action track analysis colors are the same, performing priority ranking again after the two groups of action track analysis colors with the same condition are subdivided into dark color, normal color and light color;
and selecting the customized tag content of the foreground three points according to the sorting result, and outputting the customized tag content as a judgment result of the current tourist interest tag.
According to the above technical solution, in step S4, the method for determining the physical ability of the guest further includes:
taking action tracks of all historical playing of tourists, setting a rest judging threshold in the action tracks, analyzing and judging that the tourists are in a rest stage when the distribution speed acquired by connecting x periods T is smaller than 0.3m/s, recording the rest time length, finally counting the number of white marks in the action tracks of a single playing scenic spot and the total time length of the accumulated rest time length and the playing scenic spot, performing physical ability matching judgment through the total time length of the playing scenic spot, and matching to a section of the total time length of the playing in a preset physical ability table, a normal rest time number section of the section and a rest total time length section, and analyzing and judging that the physical ability of the tourists is weaker when the number of white marks of the tourists is larger than the normal rest time number or the total time length of the accumulated rest time length section; when both are in the preset energy table interval, analyzing and judging that the object can be normal; when the number of the white marks of the tourists is smaller than the normal resting times or the accumulated resting duration is smaller than the resting total duration interval, the tourists can be analyzed and judged to be stronger.
According to the above technical solution, the step S6 further includes:
firstly, screening scenic spots according to historical action tracks and scenic spot updating publicity, which mainly comprises the following steps: screening scenic spots which are not visited by tourists in the historical action track and scenic spots which are updated, and listing the scenic spots into candidate scenic spots, wherein the scenic spots which are updated mainly are scenic spots which are visited in the action track, but scenic spots are updated, scenic spot play is changed or scenic spots which are repaired are generated after the tourists visit the scenic spot last time;
then, the physical stamina of the tourist judged by analysis is obtained, the number i of the current playing scenic spots is correspondingly estimated, wherein i changes according to the physical stamina result of analysis, and the stronger the physical stamina analysis result, the larger the corresponding i value;
comparing the i with the screened candidate scenic spots, and when the i is equal to the number of the candidate scenic spots, customizing all the existing candidate scenic spots as target scenic spots for the current game, planning a nearest tourist route by combining the scenic spot route, and outputting;
when i is smaller than the number of the candidate scenic spots, matching semantic similarity between the labels of the candidate scenic spots and the judgment result of the interest labels of the current tourists, outputting the first i scenic spots with higher similarity in the candidate scenic spots as target scenic spots customized to be played at the time, and combining the scenic spot route to plan the nearest tourist route and then outputting;
when i is greater than the number of the candidate scenic spots, matching semantic similarity is carried out on the judgment results of the current tourist interest labels except for the labels of all scenic spots in the external scenic spots of the candidate scenic spots, the scenic spots with the difference value number between the front i and the candidate scenic spots with higher similarity are output as target scenic spots customized to be played at the time, and the nearest tourist route is planned by combining with the scenic spot route and then output;
the semantic similarity matching in the steps is respectively carried out from labels in physical ability, age-appropriate and cultural directions.
Compared with the prior art, the invention has the following beneficial effects: according to the method, the number of tourist attractions can be estimated through physical analysis of tourists, then according to the historical action track of the tourists in the attraction, the attraction operation management system preferentially screens the attraction which is never visited as a candidate attraction, then matches the estimated number of the attraction, analyzes the tourist travel interest tag through the action track when the number of the candidate attraction is unequal to the estimated number of the attraction, screens the attraction in the attraction, finally determines the attraction, and then custom plans the attraction of the attraction to the tourists, thereby realizing the effect of improving attraction effect of the attraction to the tourists, effectively reducing repeated attractions of the same attraction, greatly improving the comprehensive operation income of the attraction, and greatly improving the repeated attraction Jing Oushi.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: the scenic spot operation management system and method based on the action track comprises an action track database, a tourist customization analysis module and a scenic spot operation management module, wherein the action track database is used for recording the action track of a tourist history tour Jing Oushi, the tourist customization analysis module is used for analyzing and judging physical stamina and interest label information of the tourist, the scenic spot operation management module is used for planning a tour recommendation scheme for the tourist, and the action track database, the tourist customization analysis module and the scenic spot operation management module are connected with each other.
The action track database comprises a position acquisition module, a speed matching acquisition module and a comprehensive track production module, wherein the position acquisition module is used for acquiring real-time position points in the tourist attraction process, the speed matching acquisition module is used for acquiring real-time action speeds in the tourist attraction process, the comprehensive track generation module is connected with the position acquisition module and the speed matching acquisition module in a network manner, and the comprehensive track generation module is used for acquiring the real-time position and the real-time action speed data of the tourist, fitting the real-time position and the real-time action speed data, generating an action track map of the single tourist attraction, and uploading the action track map to the action track database for storage.
The tourist customization analysis module comprises a physical ability judgment module and an interest tag analysis module, wherein the physical ability judgment module is used for analyzing and judging the physical ability of the tourist and outputting the judgment result of the physical ability index, and the interest tag analysis module is used for analyzing and judging interested scenic spots according to the tourist tour track.
The scenic spot operation management module comprises a candidate scenic spot screening module, a scenic spot label making module and a screening and customizing module, wherein the candidate scenic spot screening module is used for screening candidate scenic spots according to historical scenic spot sightseeing tracks and scenic spot updating public, the scenic spot label making module is used for making labels of physical ability, age suitability and cultural direction for all scenic spots of a scenic spot, and the screening and customizing module is used for customizing scenic spot sightseeing planning schemes for tourists.
A scenic spot operation management method based on action tracks comprises the following steps:
step S1: the tourist plays Jing Oushi for the first time, a tourist client account is registered and opened in a scenic spot operation management system, access to the client position and speed matching information is authorized, the current position and current moving speed matching of the tourist are collected in the tourist scenic spot travelling process, a scenic spot route database is finally called, and a current action track is generated by combining the scenic spot route database;
step S2: establishing an action track database, and storing the action track generated by the history into the action track database;
step S3: setting up a tourist label for each scenic spot in a scenic spot, wherein the tourist label comprises: labels in physical ability, age-appropriate and cultural directions;
step S4: when a tourist goes to a scenic spot to play, directly calling a historical play record in an action track database through a client account, starting to analyze the historical action track, and judging the physical ability of the tourist and the interest labels of the tourist;
step S5: the scenic spot operation management system synchronously screens scenic spots of scenic spots according to historical action tracks of tourists;
step S6: and matching the tourist customization analysis result with the scenic spot operation management to customize the scenic spot tour planning scheme of the scenic spot, and displaying the scenic spot tour planning scheme by a client, wherein the tourist can follow the scenic spot tour planning scheme customized for the tourist based on the historical action track by real-time reference of the client of the scenic spot operation management system in the current travel process.
The method for generating the action track in the step S1 specifically comprises the following steps:
setting each interval period T to collect tourist position information once, accurately positioning in a scenic spot route database, generating a plurality of groups of positioning position points, synchronously collecting speed distribution information in the tourist walk process, recording the speed distribution information synchronously collected by all the positioning position points, carrying out color-imparting treatment on all the positioning position points, respectively generating four colors of red, orange, yellow and green from fast to slow according to the speed distribution information of each position point, and finally carrying out linear fitting treatment on all the positioning position points to generate a multicolor action track diagram; the same color is further corresponding to dark color, normal color and light color from fast to slow, through the steps, the accurate travel track of tourists in the scenic spot can be recorded, the action speed corresponding to the action track can be obtained, the action track is synchronously displayed, the effects of fast checking and visual display of various information are achieved, and data support is provided for sustainable operation of the scenic spot.
The method for judging the interest tag of the tourist in the step S4 specifically comprises the following steps:
the method comprises the steps of calling action tracks of all historical playing of tourists, firstly marking scenic spots which are already played according to the historical playing action tracks, and overlapping marks when the same scenic spots are played for a plurality of times;
then, carrying out image recognition analysis on the action track, and specifically: setting coverage areas for all scenic spots in the scenic spot, when the action tracks of tourists are overlapped with the coverage areas of the scenic spots, acquiring the action track color of the overlapped part, and repeating the steps to acquire all the action tracks of the overlapped part with the scenic spots;
then, after the color with the largest color ratio of the action track of the part overlapped with the scenic spot is identified, outputting the color as the action track analysis color of the corresponding scenic spot, and sequencing in the order of green, yellow, orange and red;
finally, combining mark superposition, when the mark number is more than or equal to 2, the higher the mark number is, the higher the interestingness sorting priority is, and when the mark number of the scenic spot is equal to 1 or 0, the interestingness sorting priority is the same; for the same interest ranking degree priority, performing priority ranking through the action track analysis colors, and when the action track analysis colors are the same, performing priority ranking again after the two groups of action track analysis colors with the same condition are subdivided into dark color, normal color and light color;
selecting customized tag contents of the foreground three points according to the sorting result, and outputting the customized tag contents as a judgment result of the current tourist interest tag;
through the steps, the historical action tracks of the tourists in the scenic spots can be analyzed, the visiting speed of the tourists in the process of visiting each scenic spot in the history can be obtained rapidly through an image processing mode, the interest degree of the tourists in the corresponding scenic spots is analyzed and judged according to the visiting speed, meanwhile, the judgment of the interest degree preference of the tourists by the behaviors of the scenic spots repeatedly played is considered, the effect of analyzing the tourist visiting interest labels according to the action tracks of the tourists is achieved rapidly and accurately finally, more suitable scenic spots can be provided for the tourists, and the operation income of the scenic spots is improved.
In step S4, the method for determining the guest body capability further includes:
taking action tracks of all historical playing of tourists, setting a rest judging threshold in the action tracks, analyzing and judging that the tourists are in a rest stage when the distribution speed acquired by connecting x periods T is smaller than 0.3m/s, recording the rest time length, then marking the rest places in a action track diagram with white marks, finally counting the number of the white marks in the action track of a single playing scenic spot, accumulating the rest time length and the total time length of the playing scenic spot, performing physical ability matching judgment through the total time length of the playing scenic spot, and matching to a section of the total time length of the playing in a preset physical ability table, wherein the section is generally set to be one section per half hour, a normal rest time number section of the section and a rest total time length section, and analyzing and judging that the physical ability of the tourists is weaker when the number of the white marks of the tourists is larger than the normal rest time number or the accumulated rest time length is larger than the total time length section; when both are in the preset energy table interval, analyzing and judging that the object can be normal; when the number of the white marks of the tourists is smaller than the normal resting times or the accumulated resting time length is smaller than the resting total time length interval, analyzing and judging that the tourists can be stronger; through the steps, the physical ability of the tourist can be judged based on the action track analysis.
Step S6 further comprises:
firstly, screening scenic spots according to historical action tracks and scenic spot updating publicity, which mainly comprises the following steps: screening scenic spots which are not visited by tourists in the historical action track and scenic spots which are updated, and listing the scenic spots into candidate scenic spots, wherein the scenic spots which are updated mainly are scenic spots which are visited in the action track, but scenic spots are updated, scenic spot play is changed or scenic spots which are repaired are generated after the tourists visit the scenic spot last time;
then, the physical stamina of the tourist judged by analysis is obtained, the number i of the current playing scenic spots is correspondingly estimated, wherein i changes according to the physical stamina result of analysis, and the stronger the physical stamina analysis result, the larger the corresponding i value;
comparing the i with the screened candidate scenic spots, and when the i is equal to the number of the candidate scenic spots, customizing all the existing candidate scenic spots as target scenic spots for the current game, planning a nearest tourist route by combining the scenic spot route, and outputting;
when i is smaller than the number of the candidate scenic spots, matching semantic similarity between the labels of the candidate scenic spots and the judgment result of the interest labels of the current tourists, outputting the first i scenic spots with higher similarity in the candidate scenic spots as target scenic spots customized to be played at the time, and combining the scenic spot route to plan the nearest tourist route and then outputting;
when i is greater than the number of the candidate scenic spots, matching semantic similarity is carried out on the judgment results of the current tourist interest labels except for the labels of all scenic spots in the external scenic spots of the candidate scenic spots, the scenic spots with the difference value number between the front i and the candidate scenic spots with higher similarity are output as target scenic spots customized to be played at the time, and the nearest tourist route is planned by combining with the scenic spot route and then output;
the semantic similarity matching in the steps is respectively carried out from labels in physical ability, age-appropriate and cultural directions.
Through physical analysis of tourists, the number of tourist attractions in the attraction can be estimated, then according to the historical action track of the tourists in the attraction, the attraction operation management system preferentially screens the attraction which is never visited as a candidate attraction, matches the estimated number of the attraction, analyzes the tourist interest tags through the action track again when the number of the candidate attraction is unequal to the estimated number of the attraction, carries out priority screening on the attraction, finally determines the attraction and then custom plans the attraction route of the attraction, further achieves the effect of improving attraction of the attraction to the tourists in the attraction, effectively reduces repeated attractions of the same attraction, greatly improves repeated attraction Jing Oushi and still has higher attraction experience, and improves comprehensive operation income of the attraction.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A scenic spot operation management system based on action tracks is characterized in that: the scenic spot operation management system comprises an action track database, a tourist customization analysis module and a scenic spot operation management module, wherein the action track database is used for recording action tracks of historical tourists Jing Oushi, the tourist customization analysis module is used for analyzing and judging physical stamina and interest tag information of the tourists, the scenic spot operation management module is used for planning a tourist recommendation scheme for the tourists, and the action track database, the tourist customization analysis module and the scenic spot operation management module are connected with each other.
2. The action trajectory-based attraction operation management system according to claim 1, wherein: the action track database comprises a position acquisition module, a speed matching acquisition module and a comprehensive track production module, wherein the position acquisition module is used for acquiring real-time position points in the tourist attraction process, the speed matching acquisition module is used for acquiring real-time action speeds of the tourist attraction process, the comprehensive track generation module is connected with the position acquisition module and the speed matching acquisition module in a network manner, and the comprehensive track generation module is used for acquiring the real-time position and the real-time action speed data of the tourist, fitting the real-time position and the real-time action speed data, generating an action track diagram of the single tourist attraction, and uploading the action track diagram to the action track database for storage.
3. The action trajectory-based attraction operation management system according to claim 2, wherein: the tourist customization analysis module comprises a physical ability judgment module and an interest tag analysis module, wherein the physical ability judgment module is used for analyzing and judging physical ability of the tourist and outputting a judgment result of physical ability index, and the interest tag analysis module is used for analyzing and judging interested scenic spots according to tourist trajectories.
4. A scenic spot operation management system according to claim 3, wherein: the scenic spot operation management module comprises a candidate scenic spot screening module, a scenic spot label making module and a screening and customizing module, wherein the candidate scenic spot screening module is used for screening candidate scenic spots according to historical scenic spot sightseeing tracks and scenic spot updating public relations, the scenic spot label making module is used for making physical stamina, age-fit and cultural direction labels for all scenic spots of a scenic spot, and the screening and customizing module is used for customizing scenic spot sightseeing planning schemes of scenic spots of tourists.
5. A scenic spot operation management method based on action tracks is characterized in that: the scenic spot operation management method comprises the following steps:
step S1: the tourist plays Jing Oushi for the first time, a tourist client account is registered and opened in a scenic spot operation management system, access to the client position and speed matching information is authorized, the current position and current moving speed matching of the tourist are collected in the tourist scenic spot travelling process, a scenic spot route database is finally called, and a current action track is generated by combining the scenic spot route database;
step S2: establishing an action track database, and storing the action track generated by the history into the action track database;
step S3: setting up a tourist label for each scenic spot in a scenic spot, wherein the tourist label comprises: labels in physical ability, age-appropriate and cultural directions;
step S4: when a tourist goes to a scenic spot to play, directly calling a historical play record in an action track database through a client account, starting to analyze the historical action track, and judging the physical ability of the tourist and the interest labels of the tourist;
step S5: the scenic spot operation management system synchronously screens scenic spots of scenic spots according to historical action tracks of tourists;
step S6: and matching the tourist customization analysis result with the scenic spot operation management to customize the scenic spot tour planning scheme of the scenic spot, and displaying the scenic spot tour planning scheme by a client, wherein the tourist can follow the scenic spot tour planning scheme customized for the tourist based on the historical action track by real-time reference of the client of the scenic spot operation management system in the current travel process.
6. The method for scenic spot operation management based on action trajectories according to claim 5, wherein: the method for generating the action track in the step S1 specifically includes:
setting each interval period T to collect tourist position information once, accurately positioning in a scenic spot route database, generating a plurality of groups of positioning position points, synchronously collecting speed distribution information in the tourist walk process, recording the speed distribution information synchronously collected by all the positioning position points, carrying out color-imparting treatment on all the positioning position points, respectively generating four colors of red, orange, yellow and green from fast to slow according to the speed distribution information of each position point, and finally carrying out linear fitting treatment on all the positioning position points to generate a multicolor action track diagram; the same color is further correspondingly divided into dark color, normal color and light color from fast to slow.
7. The method for scenic spot operation management based on action trajectories according to claim 6, wherein: the method for judging the interest tag of the tourist in the step S4 specifically comprises the following steps:
the method comprises the steps of calling action tracks of all historical playing of tourists, firstly marking scenic spots which are already played according to the historical playing action tracks, and overlapping marks when the same scenic spots are played for a plurality of times;
then, carrying out image recognition analysis on the action track, and specifically: setting coverage areas for all scenic spots in the scenic spot, when the action tracks of tourists are overlapped with the coverage areas of the scenic spots, acquiring the action track color of the overlapped part, and repeating the steps to acquire all the action tracks of the overlapped part with the scenic spots;
then, after the color with the largest color ratio of the action track of the part overlapped with the scenic spot is identified, outputting the color as the action track analysis color of the corresponding scenic spot, and sequencing in the order of green, yellow, orange and red;
finally, combining mark superposition, when the mark number is more than or equal to 2, the higher the mark number is, the higher the interestingness sorting priority is, and when the mark number of the scenic spot is equal to 1 or 0, the interestingness sorting priority is the same; for the same interest ranking degree priority, performing priority ranking through the action track analysis colors, and when the action track analysis colors are the same, performing priority ranking again after the two groups of action track analysis colors with the same condition are subdivided into dark color, normal color and light color;
and selecting the customized tag content of the foreground three points according to the sorting result, and outputting the customized tag content as a judgment result of the current tourist interest tag.
8. The method for scenic spot operation management based on action trajectories according to claim 7, wherein: in the step S4, the method for determining the physical ability of the tourist further includes:
taking action tracks of all historical playing of tourists, setting a rest judging threshold in the action tracks, analyzing and judging that the tourists are in a rest stage when the distribution speed acquired by connecting x periods T is smaller than 0.3m/s, recording the rest time length, finally counting the number of white marks in the action tracks of a single playing scenic spot and the total time length of the accumulated rest time length and the playing scenic spot, performing physical ability matching judgment through the total time length of the playing scenic spot, and matching to a section of the total time length of the playing in a preset physical ability table, a normal rest time number section of the section and a rest total time length section, and analyzing and judging that the physical ability of the tourists is weaker when the number of white marks of the tourists is larger than the normal rest time number or the total time length of the accumulated rest time length section; when both are in the preset energy table interval, analyzing and judging that the object can be normal; when the number of the white marks of the tourists is smaller than the normal resting times or the accumulated resting duration is smaller than the resting total duration interval, the tourists can be analyzed and judged to be stronger.
9. The method for scenic spot operation management based on action trajectories according to claim 8, wherein: the step S6 further includes:
firstly, screening scenic spots according to historical action tracks and scenic spot updating publicity, which mainly comprises the following steps: screening scenic spots which are not visited by tourists in the historical action track and scenic spots which are updated, and listing the scenic spots into candidate scenic spots, wherein the scenic spots which are updated mainly are scenic spots which are visited in the action track, but scenic spots are updated, scenic spot play is changed or scenic spots which are repaired are generated after the tourists visit the scenic spot last time;
then, the physical stamina of the tourist judged by analysis is obtained, the number i of the current playing scenic spots is correspondingly estimated, wherein i changes according to the physical stamina result of analysis, and the stronger the physical stamina analysis result, the larger the corresponding i value;
comparing the i with the screened candidate scenic spots, and when the i is equal to the number of the candidate scenic spots, customizing all the existing candidate scenic spots as target scenic spots for the current game, planning a nearest tourist route by combining the scenic spot route, and outputting;
when i is smaller than the number of the candidate scenic spots, matching semantic similarity between the labels of the candidate scenic spots and the judgment result of the interest labels of the current tourists, outputting the first i scenic spots with higher similarity in the candidate scenic spots as target scenic spots customized to be played at the time, and combining the scenic spot route to plan the nearest tourist route and then outputting;
when i is greater than the number of the candidate scenic spots, matching semantic similarity is carried out on the judgment results of the current tourist interest labels except for the labels of all scenic spots in the external scenic spots of the candidate scenic spots, the scenic spots with the difference value number between the front i and the candidate scenic spots with higher similarity are output as target scenic spots customized to be played at the time, and the nearest tourist route is planned by combining with the scenic spot route and then output;
the semantic similarity matching in the steps is respectively carried out from labels in physical ability, age-appropriate and cultural directions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310468413.1A CN116664346A (en) | 2023-04-27 | 2023-04-27 | Scenic spot operation management system and method based on action track |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310468413.1A CN116664346A (en) | 2023-04-27 | 2023-04-27 | Scenic spot operation management system and method based on action track |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116664346A true CN116664346A (en) | 2023-08-29 |
Family
ID=87708801
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310468413.1A Pending CN116664346A (en) | 2023-04-27 | 2023-04-27 | Scenic spot operation management system and method based on action track |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116664346A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN117633372A (en) * | 2024-01-25 | 2024-03-01 | 四川轻化工大学 | Scenic spot playing path optimization method, system, terminal and medium based on Internet of things |
-
2023
- 2023-04-27 CN CN202310468413.1A patent/CN116664346A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN117633372A (en) * | 2024-01-25 | 2024-03-01 | 四川轻化工大学 | Scenic spot playing path optimization method, system, terminal and medium based on Internet of things |
| CN117633372B (en) * | 2024-01-25 | 2024-04-09 | 四川轻化工大学 | Scenic spot playing path optimization method, system, terminal and medium based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Uncovering inconspicuous places using social media check-ins and street view images | |
| CN108829852B (en) | Personalized tour route recommendation method | |
| CN116664346A (en) | Scenic spot operation management system and method based on action track | |
| Wang et al. | Life between buildings from a street view image: What do big data analytics reveal about neighbourhood organisational vitality? | |
| Callison | How climate change comes to matter: The communal life of facts | |
| Pocock et al. | Images of the urban environment | |
| Brent Ritchie | Assessing the impact of hallmark events: Conceptual and research issues | |
| McDonough et al. | Ethnic and Racial Differences in Selectivity of College Choice. | |
| Perger et al. | A campaign to collect volunteered geographic Information on land cover and human impact | |
| CN114297532B (en) | High-definition city functional area identification method and system based on crowd movement track | |
| Shah et al. | Deciphering tourism and the acquisition of knowledge: Advancing a new typology of ‘Research-related Tourism (RrT)’ | |
| CN107645535A (en) | Information provider unit | |
| CN110955738A (en) | Figure portrait depicting method based on combination of signaling data and scene information | |
| CN111414557A (en) | Line recommendation method based on user behaviors and resource characteristics | |
| Palmer et al. | A deep learning approach to identify unhealthy advertisements in street view images | |
| Steenberghen et al. | Support study on data collection and analysis of active modes use and infrastructure in Europe | |
| Chaudhuri et al. | Application of web-based Geographical Information System (GIS) in tourism development | |
| Namvar et al. | The role of university in city transformation | |
| CN108717640A (en) | The data processing method and electronic equipment of travel information | |
| Aslam et al. | Smart card data and human mobility | |
| Kádár et al. | The Branding and Promotion of Cultural Heritage. Case Study About the Development and Promotion of a Touristic Heritage Route in the Carpathian Basin. | |
| Myers et al. | Stakeholder involvement in destination level sustainable tourism indicator development: The case of a southwestern US mining town | |
| Bolbol et al. | GeoTravelDiary: Towards online automatic travel behaviour detection | |
| CN117633372B (en) | Scenic spot playing path optimization method, system, terminal and medium based on Internet of things | |
| Rout | Using smartphone data to design urban spaces: visualization, modeling, and public engagement |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |