CN116797412A - Scenic spot digital twin visual display and early warning system based on knowledge graph - Google Patents
Scenic spot digital twin visual display and early warning system based on knowledge graph Download PDFInfo
- Publication number
- CN116797412A CN116797412A CN202310735280.XA CN202310735280A CN116797412A CN 116797412 A CN116797412 A CN 116797412A CN 202310735280 A CN202310735280 A CN 202310735280A CN 116797412 A CN116797412 A CN 116797412A
- Authority
- CN
- China
- Prior art keywords
- module
- early warning
- data
- visual display
- scenic spot
- 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
- 230000000007 visual effect Effects 0.000 title claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 21
- 238000013480 data collection Methods 0.000 claims abstract description 14
- 238000012098 association analyses Methods 0.000 claims abstract description 4
- 238000004364 calculation method Methods 0.000 claims abstract description 3
- 238000007405 data analysis Methods 0.000 claims description 14
- 230000000694 effects Effects 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 13
- 230000002457 bidirectional effect Effects 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 230000010354 integration Effects 0.000 claims description 7
- 238000010586 diagram Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 230000017260 vegetative to reproductive phase transition of meristem Effects 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 11
- 238000005516 engineering process Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013486 operation strategy Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a knowledge-graph-based scenic spot digital twin visual display and early warning system, which comprises a data collection module, a data processing module and a visual display system, wherein the accuracy and the reliability of data are ensured by collecting various data sources in real time and performing data cleaning, association analysis and statistical calculation, and the output end of the data collection module is connected with the input end of the data processing module. The scenic spot digital twin visual display and early warning system based on the knowledge graph collects and analyzes data in real time through various data sources, and timely discovers potential problems and risks, and is accurate: the method has the advantages that two or more data values are comprehensively associated, the accuracy and the reliability of the data are improved, the information is rich, the processed data are displayed in a three-dimensional model, a chart, an image, a map and other forms, people can more intuitively and easily understand the data, and early warning intervention is performed by analyzing the data in real time.
Description
Technical Field
The invention relates to the technical field of scenic spot display, in particular to a scenic spot digital twin visual display and early warning system based on a knowledge graph.
Background
With the development of technology and the popularization of data driven decisions, scenic spot management faces new challenges and opportunities. Conventional scenic spot management methods often fail to process and reflect large amounts of data and information quickly and accurately, resulting in potential problems and risks that cannot be discovered and processed in time. On the other hand, as digitization and informatization advance, tourists are increasingly in demand for scenic spot services. They want to be able to get more intuitive, accurate, rich information to improve their tour experience.
Aiming at the new challenges and demands, a digital twin technology is adopted in the existing part of scenic spots, a digital model is built based on monitoring data, and a tourist attraction knowledge map is built by application to describe scenic spot connotation knowledge, but independent development exists in the existing part of scenic spots.
Although digital twinning scenic spot and tourist attraction knowledge maps exist, the digital twinning scenic spot and the tourist attraction knowledge maps are not really fused. Firstly, the digital twin scenic spot mainly depends on monitoring data and three-dimensional modeling, lacks knowledge support and deeper knowledge mining and analysis, and has little investment in scenic spot content knowledge. Secondly, the knowledge graph of the scenic spot lacks the combination with the digital model, can not provide visual dynamic visual display, and is difficult to form comprehensive intelligent management. In addition, the existing digital twin scenic spots are mostly displayed in a real-scene mode, the early warning function is relatively weak, and the intelligent early warning capability based on knowledge-graph driving is lacked.
In summary, in order to realize knowledge driving and intelligent management of the digital twin scenic spot, the system organically combines knowledge graph technology and digital twin scenic spot modeling, exhibition and management. Knowledge of scenic spot connotation is fully utilized, a knowledge map for analysis and reasoning is constructed, visual display and intelligent early warning based on a digital model are provided, and a new solution is provided for realizing comprehensive intelligent scenic spot management.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a scenic spot digital twin visual display and early warning system based on a knowledge graph, which solves the problem that the scenic spot display effect is not very good.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the visual display and early warning system comprises a data collection module, a data processing module and a visual display system, wherein the output end of the data collection module is connected with the input end of the data processing module, the output end of the data processing module is connected with the input end of the visual display system, the visual display system is in bidirectional connection with the early warning intervention system, the early warning and intervention system comprises an information receiving module, a data analysis module, an early warning center and an intervention measure generating module, the output end of the information receiving module is connected with the input end of the data analysis module, the data analysis module comprises a knowledge graph processing module, the output end of the data analysis module is connected with the input end of the early warning center, the output end of the early warning center is connected with the input end of the intervention measure generating module, the early warning center is in bidirectional connection with the large database, and the output end of the early warning and intervention system is connected with the input end of the guiding method module.
Preferably, the guiding method module and the wireless receiving and transmitting module are connected in a bidirectional manner, and the wireless receiving and transmitting module and the mobile terminal are connected in a bidirectional manner.
Preferably, the guiding method module comprises a data integration module, a processor and a scheme generation module, wherein the output end of the data integration module is connected with the input end of the processor, and the output end of the processor is connected with the input end of the scheme generation module.
Preferably, the data collection module collects real-time data from a plurality of data sources, including a camera vision analysis edge AI computing box, a scenic spot internal internet of things sensor, local weather data, hundred degrees, a messenger mobile terminal personal location service, and local disaster real-time big data.
Preferably, the data processing module preprocesses the collected data, screens effective information and performs association analysis.
Preferably, the visual display system generates various visual charts according to the output of the data processing module, wherein the visual charts comprise weather change states, flower flowering time periods and distribution points, bird ornamental time period effects and distribution points, people flow thermodynamic diagrams, infrastructure distribution point bitmaps, air quality effect display, lake water level change display and lake water quality display.
Preferably, the early warning and intervention system carries out real-time early warning on risks and abnormal conditions according to the result of the visual display module, and provides intervention measures and suggestions.
Preferably, the guiding method module provides real-time navigation, advice and information for tourists and managers according to the result of the early warning and intervention system.
Preferably, the intervention measure generation module comprises a problem analysis module, a solution reference module and an intervention device distribution module, wherein the output end of the problem analysis module is connected with the input end of the solution reference module, and the output end of the solution reference module is connected with the input end of the intervention device distribution module.
Advantageous effects
The invention provides a knowledge-graph-based scenic spot digital twin visual display and early warning system. Compared with the prior art, the method has the following beneficial effects:
the scenic spot digital twin visual display and early warning system based on the knowledge graph has the beneficial effects that the scenic spot digital twin visual display and early warning system specifically comprises the following points:
real-time performance: data is collected and analyzed in real time through various data sources to discover potential problems and risks in time.
Accuracy: and two or more data values are comprehensively associated, so that the accuracy and reliability of the data are improved.
And (3) enriching information: the processed data are displayed in a three-dimensional model, a chart, an image, a map and other forms, so that people can more intuitively and easily understand the data.
Early warning function: and the risk and abnormal conditions are pre-warned in real time, so that the safety management level of scenic spots is improved.
Guide function: real-time navigation, advice and information are provided for tourists and managers, and the experience of the tourists and the management efficiency of scenic spots are improved.
Improving the scenic spot revenue: based on the digital model and the knowledge graph, the conditions of passenger flow hours, scenic spots, people, and the like can be accurately analyzed, popularization activities and preferential policies are designed in a targeted manner, and the conversion rate and the revenue are improved.
Optimizing sightseeing experience: through visual display schemes such as VR/AR, the knowledge maps of scenic spots are combed, personalized scenic spot recommendation and routes are provided for tourists, and sightseeing experience is effectively optimized.
By the aid of the method and the system, scenic spot managers can monitor and manage scenic spot resources better, and tourists can obtain better tour experience.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
fig. 2 is a schematic block diagram of the intervention measure generation module of the present invention.
In the figure: the system comprises a 1-data collection module, a 2-data processing module, a 3-visual display system, a 4-early warning intervention system, a 41-information receiving module, a 42-data analysis module, a 421-knowledge graph processing module, a 43-early warning center, a 44-intervention measure generating module, a 45-large database, a 5-guiding method module, a 51-data integration module, a 52-processor, a 53-scheme generating module, a 6-wireless receiving and transmitting module and a 7-mobile terminal.
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 a technical solution: the scenic spot digital twin visual display and early warning system based on the knowledge graph comprises a data collection module 1, a data processing module 2 and a visual display system 3, wherein the output end of the data collection module 1 is connected with the input end of the data processing module 2, the output end of the data processing module 2 is connected with the input end of the visual display system 3, the visual display system 3 is connected with the early warning intervention system 4 in a bidirectional manner, the early warning and intervention system 4 comprises an information receiving module 41, a data analysis module 42, an early warning center 43 and an intervention measure generating module 44, the output end of the information receiving module 41 is connected with the input end of the data analysis module 42, the data analysis module 42 comprises a knowledge graph processing module 421, the output end of the data analysis module 42 is connected with the input end of the early warning center 43, the output end of the early warning center 43 is connected with the input end of the intervention measure generating module 44, the early warning center 43 is connected with the large database 45 in a bidirectional manner, and the output end of the early warning and intervention system 4 is connected with the input end of the guiding method module 5.
Specifically, the knowledge-graph technology applied to scenic spot digital twin can bring a series of advantages, mainly comprising:
1. providing rich scenic spot information: the knowledge graph can collect and arrange various information of scenic spots in detail, including places, histories, cultures, natural landscapes, activities, facilities and the like, so as to form a comprehensive and detailed scenic spot knowledge base.
2. Personalized recommendation: the knowledge graph can provide personalized recommendations, such as recommending scenic spots, activities or itineraries of interest, according to the interests, historical behaviors and other information of the tourists.
3. Improving the navigation effect: through the knowledge graph, rich and various virtual guide can be created, so that tourists can experience the charm of scenic spots through digital twinning before or after visiting in the field.
4. Management efficiency is improved: the knowledge graph can integrate and analyze various operation data of the scenic spot, and help a manager to know the operation conditions of the scenic spot, such as tourist traffic, facility use conditions and the like, so that the management efficiency is improved.
5. Auxiliary planning and decision: through the knowledge graph, the manager can better understand and master the operation data of the scenic spot, so that more accurate planning and decision-making can be performed.
6. Promote sustainable development of scenic spots: knowledge maps can help managers better understand and balance guest needs and scenic spot sustainable development needs, for example, through analysis of environmental impact, more environment-friendly operation strategies can be formulated.
7. And the tourist experience is improved: through the knowledge graph, tourists can acquire the information of interest more intuitively and conveniently, so that the experience of the tourists is improved.
In general, the application of the knowledge graph technology can lead the scenic spot digital twinning to be richer, more accurate and personalized, and can also improve the management efficiency and the decision accuracy of the scenic spot.
In the invention, the guiding method module 5 and the wireless receiving and transmitting module 6 are connected in a bidirectional way, and the wireless receiving and transmitting module 6 and the mobile terminal 7 are connected in a bidirectional way.
In the present invention, the guiding method module 5 includes a data integration module 51, a processor 52 and a scheme generation module 53, wherein an output end of the data integration module 51 is connected with an input end of the processor 52, and an output end of the processor 52 is connected with an input end of the scheme generation module 53.
In the invention, the data collection module 1 collects real-time data from a plurality of data sources, including a camera vision analysis edge AI calculation box, an object-linked sensor in a scenic spot, local meteorological data, hundred degrees, a communication mobile terminal personal position service and local disaster real-time big data.
In the invention, the data processing module 2 preprocesses the collected data, screens effective information and performs association analysis.
In the invention, the visual display system 3 generates various visual charts according to the output of the data processing module 2, wherein the visual charts comprise weather change states, flower flowering time periods and distribution points, bird ornamental time period effects and distribution points, a human flow thermodynamic diagram, an infrastructure distribution point bitmap, air quality effect display, lake water level change display and lake water quality display.
In the invention, the early warning and intervention system 4 carries out real-time early warning on risks and abnormal conditions according to the result of the visual display module, provides intervention measures and suggestions, and the guiding method module 5 provides real-time navigation, suggestions and information for tourists and managers according to the result of the early warning and intervention system 4.
In the present invention, the intervention measure generation module 44 includes a problem analysis module 441, a solution reference module 442, and an intervention device distribution module 443, where an output end of the problem analysis module 441 is connected to an input end of the solution reference module 442, and an output end of the solution reference module 442 is connected to an input end of the intervention device distribution module 443.
In use, the data collection module 1 collects real-time data from a plurality of data sources, including a video camera visual analysis edge AI computing box, a scenic spot internal internet of things sensor, local meteorological data, hundred degrees, a communication mobile terminal personal position service and local disaster real-time big data, then the local meteorological data, hundred degrees, and the communication mobile terminal personal position service and the local disaster real-time big data are transmitted to the data processing module 2 for processing, after the processing is finished, the data collection module 1 enters the visual display system 3, the visual display system 3 generates a plurality of visual charts according to the output of the data processing module 2, the weather change state, the flower flowering time period and the distribution point, the bird ornamental time period effect and the distribution point, the human flow thermodynamic diagram, the infrastructure distribution point bitmap, the air quality effect display, the lake water level change display and the lake water quality display, then the local meteorological data are transmitted to the early warning and intervention system 4, the information receiving module 41 receives the information and transmits the information to the data analysis module 42, then the data processing module 43 generates corresponding measures through the intervention measure generating module 44, the corresponding measures are processed in time, the early warning and the intervention system 4 carries out real-time early warning and early warning according to the results of the visual display module, the early warning and the abnormal conditions, the early warning and intervention system is provided, the early warning and the intervention measures are provided, the early warning and the intervention and the guidance means 5 are provided by the tourist and the navigation module 6 and the mobile terminal are provided by the real-time information and the recommended and the navigation module and the mobile terminal and the information is provided by the real-time information and the navigation module and the mobile terminal and the user is provided.
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.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides a scenic spot digit twin visual display and early warning system based on knowledge graph, includes data collection module (1), data processing module (2) and visual display system (3), the output of data collection module (1) is connected with the input of data processing module (2), and the output of data processing module (2) is connected with the input of visual display system (3), its characterized in that: the visual display system (3) is connected with the early warning intervention system (4) in a bidirectional manner, the early warning intervention system (4) comprises an information receiving module (41), a data analysis module (42), an early warning center (43) and an intervention measure generation module (44), the output end of the information receiving module (41) is connected with the input end of the data analysis module (42), the data analysis module (42) comprises a knowledge graph processing module (421), the output end of the data analysis module (42) is connected with the input end of the early warning center (43), the output end of the early warning center (43) is connected with the input end of the intervention measure generation module (44), the early warning center (43) is connected with the large database (45) in a bidirectional manner, and the output end of the early warning intervention system (4) is connected with the input end of the guiding method module (5).
2. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: the guiding method module (5) and the wireless receiving and transmitting module (6) are connected in a bidirectional mode, and the wireless receiving and transmitting module (6) and the mobile terminal (7) are connected in a bidirectional mode.
3. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: the guiding method module (5) comprises a data integration module (51), a processor (52) and a scheme generation module (53), wherein the output end of the data integration module (51) is connected with the input end of the processor (52), and the output end of the processor (52) is connected with the input end of the scheme generation module (53).
4. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: the data collection module (1) collects real-time data from a plurality of data sources, including a camera vision analysis edge AI calculation box, an object-linked sensor in a scenic spot, local meteorological data, hundred degrees, a communication mobile terminal personal position service and local disaster real-time big data.
5. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: and the data processing module (2) preprocesses the collected data, screens effective information and performs association analysis.
6. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: the visual display system (3) generates various visual charts according to the output of the data processing module (2), wherein the visual charts comprise weather change states, flower flowering time periods and distribution points, bird ornamental time period effects and distribution points, a human flow thermodynamic diagram, an infrastructure distribution point bitmap, air quality effect display, lake water level change display and lake water quality display.
7. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: and the early warning and intervention system (4) performs real-time early warning on risks and abnormal conditions according to the result of the visual display module and provides intervention measures and suggestions.
8. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: the guiding method module (5) provides real-time navigation, advice and information for tourists and managers according to the result of the early warning and intervention system (4).
9. The knowledge-graph-based scenic spot digital twin visual display and early warning system according to claim 1, wherein the system is characterized in that: the intervention measure generation module (44) comprises a problem analysis module (441), a solution reference module (442) and an intervention device distribution module (443), wherein the output end of the problem analysis module (441) is connected with the input end of the solution reference module (442), and the output end of the solution reference module (442) is connected with the input end of the intervention device distribution module (443).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310735280.XA CN116797412A (en) | 2023-06-20 | 2023-06-20 | Scenic spot digital twin visual display and early warning system based on knowledge graph |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310735280.XA CN116797412A (en) | 2023-06-20 | 2023-06-20 | Scenic spot digital twin visual display and early warning system based on knowledge graph |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116797412A true CN116797412A (en) | 2023-09-22 |
Family
ID=88044659
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310735280.XA Pending CN116797412A (en) | 2023-06-20 | 2023-06-20 | Scenic spot digital twin visual display and early warning system based on knowledge graph |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116797412A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117237574A (en) * | 2023-10-11 | 2023-12-15 | 西南交通大学 | Task-driven geographical digital twin scene enhancement visualization method and system |
-
2023
- 2023-06-20 CN CN202310735280.XA patent/CN116797412A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117237574A (en) * | 2023-10-11 | 2023-12-15 | 西南交通大学 | Task-driven geographical digital twin scene enhancement visualization method and system |
| CN117237574B (en) * | 2023-10-11 | 2024-03-26 | 西南交通大学 | Task-driven geographical digital twin scene enhancement visualization method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110598154B (en) | Tourism comprehensive statistics big data system based on fusion multi-channel data | |
| Prommaharaj et al. | Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada | |
| CN101438334A (en) | Dynamic time series prediction of future traffic conditions | |
| CN116797412A (en) | Scenic spot digital twin visual display and early warning system based on knowledge graph | |
| CN110716935A (en) | Track data analysis and visualization method and system based on online taxi appointment travel | |
| US11842259B1 (en) | Intelligent information parsing method based on cross-modal data fusion | |
| US20210241618A1 (en) | Method and apparatus for prediction road condition, device and computer storage medium | |
| CN115412857A (en) | Resident travel information prediction method | |
| CN110490752A (en) | Car insurance analysis and automatic recommendation service system and its working method based on driving behavior data | |
| CN116579607A (en) | Multi-source data collaborative regional tailing pond risk monitoring method | |
| CN110956089A (en) | Historical block walking performance measuring method based on ICT technology | |
| CN105786699A (en) | Test result analysis system | |
| CN109636528B (en) | Tourist recommendation system based on GIS | |
| CN116882145A (en) | Digital twin deduction simulation system | |
| CN116912043A (en) | Intelligent red tourism system based on big data | |
| CN108205787A (en) | A kind of context information model building method and system based on electric operating scene | |
| CN114860816A (en) | Water pollution intelligent early warning system integration method, device and related equipment | |
| CN115564174A (en) | Method, system, computer device and medium for measuring living street space quality | |
| CN113868320A (en) | Video patrol method and system based on GIS space search and linear sequencing | |
| US10121212B1 (en) | System and method for transportation demand management | |
| KR20190083269A (en) | Monitoring method of path-based traffic, monitoring system, operating method for monitoring service of path-based traffic and operating system | |
| CN113518123A (en) | National network digital converter station operation and maintenance system based on augmented reality technology | |
| CN112800297A (en) | Method and device for visualizing big data of tourist traffic passenger flow | |
| CN114127513A (en) | Production segment data | |
| CN110942353A (en) | Big data based operation analysis method |
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 |