CN116029864A - 5G+ cloud fusion global travel data management system - Google Patents
5G+ cloud fusion global travel data management system Download PDFInfo
- Publication number
- CN116029864A CN116029864A CN202211710597.XA CN202211710597A CN116029864A CN 116029864 A CN116029864 A CN 116029864A CN 202211710597 A CN202211710597 A CN 202211710597A CN 116029864 A CN116029864 A CN 116029864A
- Authority
- CN
- China
- Prior art keywords
- scenic spot
- module
- data
- cloud
- cloud service
- 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
- 230000004927 fusion Effects 0.000 title claims abstract description 36
- 238000013523 data management Methods 0.000 title claims abstract description 13
- 238000003062 neural network model Methods 0.000 claims abstract description 16
- 230000003993 interaction Effects 0.000 claims abstract description 7
- 238000011156 evaluation Methods 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 7
- 230000006855 networking Effects 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 3
- 238000013439 planning Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 abstract description 3
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000001537 neural effect Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- DMBHHRLKUKUOEG-UHFFFAOYSA-N diphenylamine Chemical compound C=1C=CC=CC=1NC1=CC=CC=C1 DMBHHRLKUKUOEG-UHFFFAOYSA-N 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 235000011888 snacks Nutrition 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a 5G+ cloud fusion global travel data management system, and relates to the technical field of travel management. The invention comprises a cloud platform, a platform terminal and a user terminal, wherein the platform terminal is connected with the cloud platform through signals G, and the invention further comprises: the scenic spot cloud service module is installed in the APP, and the user side is connected with the scenic spot cloud service module through downloading the APP and performs information interaction with the cloud platform through the scenic spot cloud service module and the G signal; and the data fusion unit is used for fusing scenic spot information and constructing a neural network model for storage. According to the invention, through the arrangement of the scenic spot cloud service module and the data fusion unit, the uploaded scenic spot information is subjected to multi-source classification in the data fusion unit, the neural network model of the scenic spots of the same type is constructed, and the scenic spots can be directly connected in series for users to select during browsing, so that the problem that the data island easily occurs in the prior art is solved.
Description
Technical Field
The invention belongs to the technical field of travel management, and particularly relates to a 5G+ cloud fusion global travel data management system.
Background
The development of the tourism industry requires the support of various data, and the existing domestic data acquisition scheme mainly focuses on realizing the data operation function by utilizing various information systems. The information systems belong to simple off-line data storage and analysis systems, and are mainly characterized in that off-line questionnaire data, statistical data and network questionnaire data are imported into the information systems, and then automatic calculation and filling of data reports are realized by utilizing the automatic calculation function of the information systems.
Generally, the travel management system comprises a data storage and simple operation stage, further utilization of data is lacking, the travel area is not convenient to carry out the same treatment, the phenomenon of data island and the like occurs, the potential value of the data cannot be fully utilized, and therefore, the 5 G+cloud fusion global travel data management system is provided.
Disclosure of Invention
The invention aims to provide a 5 G+cloud fusion global travel data management system, which solves the problems that the existing 5 G+cloud fusion global travel data management system lacks further utilization of data during use, is inconvenient to carry out the same treatment on a travel area, causes the phenomenon of data island and the like, and cannot fully utilize the potential value of data.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a G+ cloud fusion global travel data management system, which comprises a cloud platform, a platform terminal and a user terminal, wherein the platform terminal is connected with the cloud platform through signals of G, and the system further comprises:
the scenic spot cloud service module is installed in the APP, and the user side is connected with the scenic spot cloud service module through downloading the APP and performs information interaction with the cloud platform through the scenic spot cloud service module and the G signal;
the data fusion unit is used for fusing scenic spot information and constructing a neural network model for storage;
the storage module is used for storing the data generated by the data fusion unit;
the communication module is used for enabling the user side to be in signal connection with the scenic spot cloud service module through the communication module;
the safety alarm module is suitable for directly sending alarm signals to the scenic spot security system through the safety alarm module when the user side sends the alarm signals.
Furthermore, the platform terminal performs information interaction between the user-oriented terminal and the cloud platform, and has operation of maintaining a related database, wherein the operation comprises adding, deleting, modifying and restoring the related information of the scenic spot.
Further, the data fusion unit includes:
the data analysis module is used for analyzing scenic spot information uploaded by the platform area terminal and the user side;
the feature extraction module is suitable for extracting the parsed scenic spot information features;
and the multi-source classification module is used for classifying the extracted features and attaching a label to each group of data.
Further, the data fusion unit includes:
the data analysis module is used for analyzing scenic spot information uploaded by the platform area terminal and the user side;
the feature extraction module is suitable for extracting the parsed scenic spot information features and removing abnormal data;
the multisource classification module is used for carrying out priority normalization processing on the extracted first features to obtain a priority set, classifying the normalized data into other selection sets according to the second features and/or the third features, and fusing all the normalized data into a spherical and/or tree-shaped neural network model to be stored in the storage module.
Further, the scenic spot cloud service module further comprises a search recommendation module, wherein the search recommendation module is suitable for recommending scenic spot information in the neural network model with corresponding characteristic signals according to user search information.
Further, the scenic spot cloud service module further comprises a consumption assessment module for providing a consumption level within the scenic spot.
Further, the scenic spot cloud service module further comprises a reservation payment module, and the reservation payment module is suitable for reservation use of scenic spot intranet shops and/or networked hotels and/or networked restaurants.
Further, the scenic spot cloud service module further comprises a public praise evaluation module, and the scenic spot terminal and the user side evaluate the scenic spot and partial networking facilities in the scenic spot through the public praise evaluation module and generate an attachment window.
Further, the scenic spot cloud service module further comprises a scenic spot navigation module, wherein the scenic spot navigation module interacts with a positioning system through G signals and is used for navigating and/or providing path planning for a user in a scenic spot through the positioning system, and the positioning system comprises, but is not limited to, a GPS satellite positioning system and a Beidou satellite positioning system.
The invention has the following beneficial effects:
1. through the arrangement of the platform region terminal, the cloud platform, the scenic region cloud service modules and the data fusion unit, the platform region terminal and the user can upload scenic region information to the cloud platform for a plurality of scenic region cloud service modules to read, meanwhile, the uploaded scenic region information can be subjected to multi-source classification in the data fusion unit, a neural network model of scenic regions of the same type is built, and the scenic region cloud service modules can be directly connected in series for selection by the user during browsing, so that the problem that data island easily occurs in the prior art is solved;
2. through the arrangement of the platform region terminal, the cloud platform, the scenic spot cloud service module and the data fusion unit, the search recommendation module can also directly supply scenic spot information in the corresponding neural network model according to user search preference, and provide consumption evaluation to reduce the risk of no money, and can also provide public praise evaluation at the same time, so that the true objective evaluation of scenic spots is realized, the scenic spots can be reserved and placed by the reservation payment module in a targeted manner, the time utilization rate is improved, and the potential value of data is applied.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a schematic diagram of a fusion mode structure of the present invention;
fig. 3 is a system block diagram of the scenic spot cloud service module and the data fusion unit of the present invention.
In the drawings, the list of components represented by the various numbers is as follows:
1. a cloud platform; 2. a station terminal; 3. a user terminal; 4. scenic spot cloud service module; 41. searching a recommendation module; 42. a consumption assessment module; 43. a reservation payment module; 44. a public praise evaluation module; 45. a scenic spot navigation module; 5. a data fusion unit; 501. a data analysis module; 502. a feature extraction module; 503. a multi-source classification module; 6. a storage module; 7. a communication module; 8. and a safety alarm module.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus consistent with some aspects of the disclosure as detailed in the accompanying claims.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. 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.
Example 1
Referring to fig. 1, fig. 2 and fig. 3, the invention discloses a 5g+ cloud fusion global travel data management system, which comprises a cloud platform 1, a platform terminal 2 and a user terminal 3, wherein the platform terminal 2 is connected with the cloud platform 1 through signals of 5G, and further comprises:
the scenic spot cloud service module 4 is arranged in the APP, the user side 3 is connected with the scenic spot cloud service module 4 through downloading the APP, and information interaction is carried out between the scenic spot cloud service module 4 and the cloud platform 1 through signals of the scenic spot cloud service module 4 and the 5G;
the data fusion unit 5 is used for fusing scenic spot information and constructing a neural network model for storage;
the storage module 6 is used for storing the data generated by the data fusion unit 5;
the communication module 7, the user terminal 3 is connected with the scenic spot cloud service module 4 through the communication module 7.
As shown in fig. 1, fig. 2 and fig. 3, the platform terminal 2 performs information interaction between the user terminal 3 and the cloud platform 1, and has an operation of maintaining a related database, where the operation includes adding, deleting, modifying and restoring related scenic spot information, each time the modified scenic spot information is redefined with features, reordered according to the newly defined features, and spliced new scenic spot information in a corresponding position of the neural network model.
As shown in fig. 1, 2, and 3, the data fusion unit 5 includes:
the data analysis module 501, the data analysis module 501 is used for analyzing scenic spot information uploaded by the platform area terminal 2 and the user terminal 3;
the feature extraction module 502, the feature extraction module 502 is suitable for extracting the parsed scenic spot information features;
the multi-source classifying module 503 is configured to classify the extracted features, and one label is added to each set of data, so that a person can recommend sceneries in the corresponding label according to the searched content, specifically, in classifying, one sceneries can define a plurality of features and be classified into a plurality of labels, that is, one sceneries can contain factors such as mountain, water, story and snack, and the sceneries can be classified into a certain label by one of the factors.
The scenic spot cloud service module 4 further comprises a search recommendation module 41, the search recommendation module 41 being adapted to recommend scenic spot information within the neural network model having corresponding characteristic signals based on the user search information.
The scenic spot cloud service module 4 further comprises a consumption evaluation module 42, wherein the consumption evaluation module 42 is used for providing the consumption level in the scenic spot, and the consumption evaluation module 42 is arranged in the scenic spot cloud service module 4, so that the consumption level of the local scenic spot can be evaluated for a user, and the influence of malicious price adjustment of merchants on the consumer is avoided.
The scenic spot cloud service module 4 further comprises a reservation payment module 43, the reservation payment module 43 is suitable for reservation use of scenic spot intranet shops and/or networking hotels and/or networking restaurants, through setting of the reservation payment module 43, the tourists can reserve corresponding articles of corresponding time in advance, for example, the tourists can possibly get to a certain restaurant after 20 minutes, at the moment, the tourists can reserve food of the restaurant through the reservation payment module, at the moment, the restaurant can select proper time according to the people flow state of the restaurant to provide corresponding food for the tourists, waiting again after the tourists reach the purpose is avoided, and therefore time of the tourists can be saved, and efficiency of merchants can be improved.
The scenic spot cloud service module 4 further comprises a public praise evaluation module 44, the scenic spot terminal 2 and the user terminal 3 evaluate the scenic spot and partial networking facilities in the scenic spot through the public praise evaluation module 44 and generate an attachment window, and through the arrangement of the public praise evaluation module 44, a user can evaluate the facilities or other objects in the scenic spot after using and the evaluation can stay at the bottom of a merchant to form a new evaluation area, so that the next tourist can watch the evaluation according to the requirement, and the tourist is prevented from stepping on a pit.
Scenic spot cloud service module 4 still includes scenic spot navigation module 45, scenic spot navigation module 45 is interacted with positioning system through the 5G signal for the user is navigated in the scenic spot and/or provide the route planning through positioning system, positioning system includes but is not limited to GPS satellite positioning system and big dipper satellite positioning system, through setting up of scenic spot navigation module 45, can let the visitor know the content of scenic spot fast on the one hand, on the other hand makes the visitor's position be in transparent state, can in time accurate find this visitor when the accident like this, greatly improved the security of whole process.
Example 2
As shown in fig. 1, 2, and 3, the data fusion unit 5 includes:
the data analysis module 501, the data analysis module 501 is used for analyzing scenic spot information uploaded by the platform area terminal 2 and the user terminal 3;
the feature extraction module 502, the feature extraction module 502 is suitable for extracting the resolved scenic spot information features, removing abnormal data, and directly removing the uploaded abnormal data, such as the information of a closed scenic spot, a maintenance scenic spot or a non-tourist scenic spot;
the multisource classification module 503 is configured to perform preferential normalization processing on the extracted first feature to form a preferential set, divide the normalized data into other selection sets according to the second feature and/or the third feature, and fuse all normalized data into a spherical and/or tree-shaped neural network model to store in the storage module 6, and the neural network model is adopted to directly connect scenic spot information in series, so that a series of browsing can be performed during searching, and scenic spot tourists of the same type can perform comparison and screening, thereby improving multiple selections.
The most basic computational elements that make up a neural network are called neural nodes, and the functions used for computation are called activation functions, which are typically used to introduce nonlinear factors into the neural network. Neurons in the neural network exist on different layers, the neural nodes on the same layer are independent of each other and are not connected, the neural nodes on the adjacent layers form input and output results in a full-connection mode, and the neural network model constructed in the mode can provide series of options very fast and is convenient to classify and grade scenic spots.
Example 3
As shown in fig. 1, fig. 2 and fig. 3, in order to improve the security of the tourist, a security alarm module 8 is added on the basis of embodiment 1 and embodiment 2, specifically, the security alarm module 8 is adapted to directly send an alarm signal to a scenic spot security system through the security alarm module 8 when a user side sends the alarm signal, the alarm mode includes, but is not limited to, telephone alarm, picture alarm and video alarm, and the security alarm module 8 can be directly connected with the scenic spot security system through signals according to the positioning of the tourist, so that the security of the tourist can be greatly improved.
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.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims.
Claims (9)
1.5g+ cloud fusion global travel data management system, characterized in that: including cloud platform (1), district terminal (2) and user terminal (3), signal connection between district terminal (2) and cloud platform (1) through the 5G signal still includes:
the scenic spot cloud service module (4), the scenic spot cloud service module (4) is installed in the APP, the user side (3) is connected with the scenic spot cloud service module (4) through downloading the APP, and information interaction is carried out between the scenic spot cloud service module (4) and the cloud platform (1) through 5G signals;
the data fusion unit (5) is used for fusing scenic spot information and constructing a neural network model for storage;
the storage module (6) is used for storing the data generated by the data fusion unit (5);
the communication module (7), the said customer end (3) is connected with cloud service module of scenic spot (4) signal through the communication module (7);
the security alarm module (8), the security alarm module (8) is applicable to send alarm signal to scenic spot security system through security alarm module (8) directly when the user side sends alarm signal.
2. The system according to claim 1, wherein the platform terminal (2) performs information interaction between the user terminal (3) and the cloud platform (1), and has operations for maintaining a related database, and the operations include adding, deleting, modifying and restoring scenic spot related information.
3. The global travel data management system of 5g+ cloud fusion according to claim 1, wherein the data fusion unit (5) comprises:
the data analysis module (501) is used for analyzing scenic spot information uploaded by the station area terminal (2) and the user side (3);
the feature extraction module (502), the feature extraction module (502) is suitable for extracting the resolved scenic spot information features;
a multi-source classification module (503), the multi-source classification module (503) being configured to classify the extracted features, one tag being attached to each set of data.
4. The global travel data management system of 5g+ cloud fusion according to claim 1, wherein the data fusion unit (5) comprises:
the data analysis module (501) is used for analyzing scenic spot information uploaded by the station area terminal (2) and the user side (3);
the feature extraction module (502), the feature extraction module (502) is suitable for extracting the resolved scenic spot information features and eliminating abnormal data;
the multi-source classifying module (503) is used for carrying out priority normalization processing on the extracted first features to obtain priority sets, classifying the normalized data into other selection sets according to the second features and/or the third features, and fusing all the normalized data into a spherical and/or tree-shaped neural network model to be stored in the storage module (6).
5. The global travel data management system of 5g+ cloud fusion according to claim 1, wherein the scenic spot cloud service module (4) further comprises a search recommendation module (41), the search recommendation module (41) being adapted to recommend scenic spot information within a neural network model having corresponding characteristic signals based on user search information.
6. The system for managing global travel data for 5g+ cloud fusion of claim 5, wherein said scenic spot cloud service module (4) further comprises a consumption assessment module (42), said consumption assessment module (42) for providing a consumption level within a scenic spot.
7. The system for managing global travel data for 5g+ cloud fusion according to claim 6, wherein the scenic spot cloud service module (4) further comprises a reservation payment module (43), the reservation payment module (43) being adapted for reservation use of scenic spot intranet shops and/or networked hotels and/or networked restaurants.
8. The system according to claim 7, wherein the scenic spot cloud service module (4) further comprises a public praise evaluation module (44), and the station terminal (2) and the user terminal (3) evaluate the scenic spot and the part of the networking facilities in the scenic spot and generate the attached window through the public praise evaluation module (44).
9. The system of claim 8, wherein the scenic spot cloud service module (4) further comprises a scenic spot navigation module (45), the scenic spot navigation module (45) interacting with a positioning system via 5G signals for navigating and/or providing path planning for users within a scenic spot via the positioning system, the positioning system including but not limited to a GPS satellite positioning system and a beidou satellite positioning system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211710597.XA CN116029864A (en) | 2022-12-29 | 2022-12-29 | 5G+ cloud fusion global travel data management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211710597.XA CN116029864A (en) | 2022-12-29 | 2022-12-29 | 5G+ cloud fusion global travel data management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116029864A true CN116029864A (en) | 2023-04-28 |
Family
ID=86073436
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211710597.XA Pending CN116029864A (en) | 2022-12-29 | 2022-12-29 | 5G+ cloud fusion global travel data management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116029864A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170039535A (en) * | 2015-10-01 | 2017-04-11 | 주식회사 저스트아이디어 | Tourist srtvice platform system |
| CN108648104A (en) * | 2018-04-25 | 2018-10-12 | 河南聚合科技有限公司 | A kind of tourism big data co-construction and sharing based on cloud platform |
| CN108801258A (en) * | 2018-04-26 | 2018-11-13 | 四川徐氏智慧文化旅游有限公司 | Scenic spot service system based on cloud platform |
| CN109710660A (en) * | 2018-12-18 | 2019-05-03 | 武汉烽火众智数字技术有限责任公司 | A kind of scenic spot data management system and method |
| CN112580974A (en) * | 2020-12-16 | 2021-03-30 | 重庆财经职业学院 | Tourism information management system |
| CN112668375A (en) * | 2019-10-16 | 2021-04-16 | 广东轻工职业技术学院 | System and method for analyzing tourist distribution in scenic spot |
| CN113159570A (en) * | 2021-04-20 | 2021-07-23 | 湖南海龙国际智能科技股份有限公司 | Scenic spot tourist bus intelligent scheduling system and method based on passenger flow situation perception |
-
2022
- 2022-12-29 CN CN202211710597.XA patent/CN116029864A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170039535A (en) * | 2015-10-01 | 2017-04-11 | 주식회사 저스트아이디어 | Tourist srtvice platform system |
| CN108648104A (en) * | 2018-04-25 | 2018-10-12 | 河南聚合科技有限公司 | A kind of tourism big data co-construction and sharing based on cloud platform |
| CN108801258A (en) * | 2018-04-26 | 2018-11-13 | 四川徐氏智慧文化旅游有限公司 | Scenic spot service system based on cloud platform |
| CN109710660A (en) * | 2018-12-18 | 2019-05-03 | 武汉烽火众智数字技术有限责任公司 | A kind of scenic spot data management system and method |
| CN112668375A (en) * | 2019-10-16 | 2021-04-16 | 广东轻工职业技术学院 | System and method for analyzing tourist distribution in scenic spot |
| CN112580974A (en) * | 2020-12-16 | 2021-03-30 | 重庆财经职业学院 | Tourism information management system |
| CN113159570A (en) * | 2021-04-20 | 2021-07-23 | 湖南海龙国际智能科技股份有限公司 | Scenic spot tourist bus intelligent scheduling system and method based on passenger flow situation perception |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10862788B2 (en) | Telecommunications network traffic metrics evaluation and prediction | |
| Anthopoulos | Understanding smart cities: A tool for smart government or an industrial trick? | |
| US8694346B2 (en) | Travel-related prediction system | |
| EP4137961A1 (en) | Method and apparatus for executing automatic machine learning process, and device | |
| CN109542916A (en) | Platform commodity enter method, apparatus, computer equipment and storage medium | |
| EP0786728A1 (en) | Service offering system | |
| CN105023047A (en) | Tourism service individuation online ordering realization method based on travel itinerary | |
| CN110555748A (en) | business object recommendation method and device and travel platform | |
| KR102427047B1 (en) | Travel package delivery system based on Artificial Intelligence, and method thereof | |
| US11651320B2 (en) | Presentation device and presentation method | |
| US11790240B1 (en) | Machine learning networks, architectures and techniques for determining or predicting demand metrics in one or more channels | |
| CN113052505A (en) | Cross-border travel recommendation method, device and equipment based on artificial intelligence | |
| CN108628988A (en) | A kind of clothing matching recommends method, apparatus, Intelligent clothes cabinet and storage medium | |
| CN117788224B (en) | 5G+ cloud fusion global travel data management system | |
| KR20230068171A (en) | A Management System for Smart Vending Machine | |
| Yang et al. | Optimization of tourism information analysis system based on big data algorithm | |
| CN113792951A (en) | Logistics distribution method and device, storage medium and electronic equipment | |
| JP7291100B2 (en) | Anomaly/change estimation method, program and device using multiple posted time-series data | |
| CN110866178A (en) | Data processing method, device and machine readable medium | |
| CN116029864A (en) | 5G+ cloud fusion global travel data management system | |
| JP2013210752A (en) | Personal behavioral preference analysis system and personal behavioral preference analysis method | |
| US20190156252A1 (en) | System For Facilitating And Executing Travel-Related Transactions | |
| KR20200052786A (en) | Method for determining user's opinion in social network service and system thereof | |
| CN113761398A (en) | Information recommendation method and device, electronic equipment and storage medium | |
| JP2020194278A (en) | Information processing system, data processing program, data processing apparatus, and data processing 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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230428 |
|
| RJ01 | Rejection of invention patent application after publication |