CN107360218B - Big data integrated parallel storage scheduling method and system for smart travel - Google Patents
Big data integrated parallel storage scheduling method and system for smart travel Download PDFInfo
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention provides a big data integrated parallel storage scheduling system and method for smart travel. The invention sets parallel multi-type service processes facing to the multi-type requirements of the concurrency of users in the smart travel, and the parallel various service processes extract and temporarily store standby data from the business data of various network services and personal data generated by the users. On the basis, the business data of various network services and the personal data of mass users are associated and comprehensively analyzed, so that full-range and comprehensive-coverage datamation services are provided for the intelligent tourism of the users.
Description
Technical Field
The invention relates to a big data application technology, in particular to a big data integrated parallel storage scheduling method and system for smart tourism.
Background
Along with the improvement of the living standard of people, the scale of the tourism market is continuously enlarged, and the local tourism, the peripheral tourism and the short-term tourism are mainly promoted to be long-distance tourism, outbound tourism and medium-long term tourism. Moreover, with the increasing convenience and powerful functions of information platforms and tools such as smart phones and mobile internet, people obtain information and services related to travel, lodging, diet, shopping, visiting and purchasing tickets and the like more and more independently, and can adopt a more comfortable and flexible free-going mode without depending on a group tour guide mode. It is further expected that the smart travel mode developed by users based on the information-based service provided by the mobile internet will become a dominant way of going out in the near future.
From the perspective of datamation, smart travel will become an important big data source. When a user enjoys services such as car booking, ticket booking, hotel booking, meal reservation and the like on the internet by using the smart phone, a large amount of data is generated, and the data contains valuable information such as the position, the destination, the future time plan, the consumption level and the like of the user. By mining and analyzing the information, the tourism process of the user can be more smooth, efficient and rich, and the realization of various additional values can be promoted.
The existing platforms for providing online services for user tourism have started to use big data analysis means to realize various additional functions and advertisement push. For example, after a ticket or an air ticket is selected on the network, the ticket booking platform pushes a hotel accommodation link of a destination or provides an optional station-receiving, station-sending and car-booking service; and so on.
However, the existing online service does not cover all data generated in the user intelligent tourism process in a whole process and comprehensively, and does not realize comprehensive application of all data in the user intelligent tourism process. For example, a user may use the navigation service more frequently during travel, and the dependence on the navigation path is higher, but the navigation data is not fully utilized on the value added value related to intelligent travel; in fact, it is considered to combine information data of a user's real-time location, departure place, destination, and along-the-way path generated in the navigation service with services such as touring, shopping, dining, car taking, lodging, etc., but this involves data sharing between the navigation platform and a network platform providing services such as restaurant reservation, shopping advertisement, car taking reservation, hotel reservation, etc., and comprehensive scheduling of resources of each platform. For example, for a travel plan during travel, a user should be provided with a suggestion on time and place according to the personnel and traffic conditions near the scenic spots, so as to avoid the phenomenon of bunching and queuing during entering a garden, visiting, dining and shopping, but the prior art does not provide the capability of relatively comprehensive travel navigation plan by integrating all big data in the aspects of traffic, meal ordering, ticket purchasing and the like at the scenic spots. Furthermore, some personal data generated by the user during the travel, such as the shot photos, the written strategies and shorthand notes, can also be used as a part of the big data in the intelligent travel on the premise of obtaining the authorization; for example, photos taken by a user and travel strategies written by the user can be arranged according to a travel route, and the travel strategies are combined with services such as shopping, catering, using cars and lodging; the prior art does not have the ability to integrate user personal data into the smart travel big data service.
In the prior art, network platforms providing services such as car booking, ticket booking, hotel booking, dining reservation, navigation, shopping and the like operate independently, user data of each platform is stored, managed and applied in a scattered manner, even if a certain exchange channel is provided, a data generation process of massive users is difficult to process, and the purpose of integrating big data of various aspects to meet the service requirements of the users cannot be achieved. Moreover, in the process of smart travel, users need to obtain services in various aspects such as travel, accommodation, ticket booking, navigation, information pushing and the like in a centralized manner, various types of demands are in a highly concurrent state, and if various network resources are called to be processed one by one, the demands obviously do not meet the expectations of the users in the aspects of real-time performance and convenience. Therefore, in the prior art, the network architecture with various service platforms dispersed mutually cannot meet the requirement of providing big data integrated services for customers in the smart tourism process.
The Chinese patent application with publication number CN106557855A provides an intelligent tourism passenger flow comprehensive management system, which is divided into an infrastructure layer, an application supporting layer and an application system layer; the application system layer includes: the system comprises a passenger flow monitoring management system, a scenic spot information service system, an intelligent navigation service system and a scenic spot background management system. The passenger flow monitoring and management system counts the passenger flow volume of scenic spots in real time, analyzes the passenger flow distribution density and prevents emergencies; the scenic spot information service system issues reminding messages such as tourism information, map service, tourism strategy, weather, traffic and the like for tourists; the intelligent navigation service system realizes audio and video navigation service of the scenic spot through GPS positioning; the background management system pushes emergency messages such as natural disasters to the tourists, carries out interaction of questionnaire investigation and complaint suggestion with the tourists, analyzes consumption behavior habits of the tourists and the like. The system utilizes new technologies such as cloud computing and the Internet of things, actively senses and timely releases information in aspects such as tourism resources, economy, activities and tourists by means of portable terminal internet equipment through the Internet or the mobile Internet, so that people can timely know the information and timely arrange and adjust work and tourism plans, and the effects of intelligent sensing and convenient utilization of various kinds of tourism information are achieved. The prior art mainly aims at an information system in a scenic spot, realizes data acquisition, storage and application under the internal functions of the system, does not realize comprehensive analysis and call on data under a plurality of network platforms, and only limits the user-level data to statistical analysis of behavior habits. The Chinese patent application with the publication number of CN205961183U discloses a smart tourism system based on big data co-construction and sharing, which comprises smart tourism data acquisition equipment, a regional storage center, a regional big data processing center, a cloud server, a tourism monitoring center, a voice tour guide pushing module and a display component, wherein the smart tourism data acquisition equipment is connected with the regional storage center through the voice tour guide pushing module; the intelligent tourism data acquisition equipment is connected with the regional storage center through wired or wireless communication, the output end of the regional storage center is connected with the input end of the regional big data processing center, and the output end of the regional big data processing center is respectively connected with the input ends of the tourism monitoring center, the cloud server and the voice tour guide pushing module; the output end of the tourism monitoring center is connected with the input end of the display component; the output end of the voice tour guide pushing module is connected with the input end of the display component, so that the scenic spot and public security key can be monitored and broadcast in real time and all-weather, centralized management is performed, on-site traffic flow, personnel and related abnormal conditions can be known in time, high-quality tour information of the scenic spot can be published, and the effect of comprehensive management of the scenic spot is achieved. The patent still provides a closed data service system, which takes uniformly collected data as data resources after standardization and data cleaning, and also does not realize integrated calling of data and service resources under a plurality of network platforms. In fact, the independently constructed closed data platform is only suitable for small-scale analysis and application, for example, for a certain scenic spot or a certain region, comprehensive processing, analysis and application of large data collected by massive users in a wide area cannot be realized.
Therefore, in the prior art, various network services are used independently, or a closed system is constructed, and only limited data in the system is collected, stored and analyzed. The functions and services provided by the prior art can not meet the requirement of improving the overall level of development and utilization of the smart tourism big data.
Disclosure of Invention
In view of the above problems in the prior art, the present invention provides a big data integrated parallel storage scheduling system and method for smart travel. The invention sets parallel multi-type service processes facing to the multi-type requirements of the concurrency of users in the smart travel, and the parallel various service processes extract and temporarily store standby data from the business data of various network services and personal data generated by the users. On the basis, the business data of various network services and the personal data of mass users are associated and comprehensively analyzed, so that full-process and comprehensive-coverage datamation services are provided for the intelligent tourism of the users; and, the present invention schedules system processing and communication resources for each type of service process based on the amount of data involved and the real-time requirements for the service.
The invention relates to a big data integrated parallel storage scheduling system for smart tourism, which is characterized by comprising the following components:
the system comprises a user terminal interface, a user terminal interface and a user terminal management module, wherein the user terminal interface is used for keeping real-time communication connection with a user terminal participating in the intelligent tourism service and acquiring position information and user personal data uploaded by the user terminal; receiving a service request submitted by a user terminal; responding to a service request of a user terminal or transmitting service data related to intelligent tourism to the user terminal based on an active service push mechanism;
the business data import interface is used for importing the business data generated in the network service in real time from operation servers of various network services;
the user personal data storage server is used for acquiring and storing user personal data uploaded by all user terminals participating in the intelligent tourism service through a user terminal interface;
the parallel service process unit is used for generating parallel service processes of various types aiming at each active user terminal participating in the intelligent tourism service; each service process obtains the service data associated with the user terminal position information and the type of service through a service data import interface, and obtains the user personal data associated with the user terminal position information and the type of service from a user personal data storage server, and each service process saves the obtained service data and the user personal data as standby data in a storage space corresponding to the service process; responding to a service request of a user terminal or based on an active service push mechanism, carrying out related analysis processing on standby data by each service process by using the standby data in a storage space corresponding to the service process to generate service data related to intelligent tourism, and providing the service data to a user terminal interface;
and the process resource scheduling unit is used for allocating storage space, computing resources and transmission bandwidth for the service process according to at least one of the activity degree of the user terminal, the terminal position information, the type of the service process and the spare data volume corresponding to the service process.
Preferably, the parallel service process unit determines whether the user terminal satisfies at least one of the following conditions, and if so, determines that the user terminal is the active user terminal: the location information of the user terminal changes continuously and the user terminal uploads a service request or user personal data.
Preferably, the service data of the network service imported by the service data import interface includes at least one of the following service data: departure place data, destination data, along-the-road path data and along-the-road condition data of the network navigation service; scene point position data, scene description data and scene ticket purchasing data of the scene guide service; restaurant location data, restaurant description data, seat reservation data, and meal ordering registration data for meal order reservation services; shop location data, shop description data, coupon data and push advertisement data of the shopping advertisement service; the time data of the number of shifts, the position data of the departure station and the position data of the final station of the ticket booking service; hotel position data and booking information data of the hotel reservation service; the vehicle appointment waiting time data and the nearby vehicle data of the online vehicle appointment service.
Preferably, the user personal data acquired by the user terminal interface includes: user photo data associated with a particular location or a particular service, user text data associated with a particular location or a particular service.
Preferably, the service process generated by the parallel service process unit includes: a peripheral service process, which obtains the position information of the current user terminal, and obtains the sight spot description data, sight spot ticket purchasing data, restaurant description data, seat reservation data, ordering registration data, shop description data, coupon data, push advertisement data and booking information data around the current user terminal position, and stores the data as standby data; responding to a service request of a user terminal or based on an active service pushing mechanism, generating a peripheral service menu comprising a plurality of levels of menu items by using the standby data in a peripheral service process, and pushing the peripheral service menu serving as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the peripheral service menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data.
Preferably, the service process generated by the parallel service process unit includes: the integrated navigation process acquires the current user terminal position information, and acquires departure place data, destination data, along-the-way path data and along-the-way road condition data of the network navigation service; the comprehensive navigation process continuously obtains scenic spot description data, scenic spot ticket purchasing data, restaurant description data, seat reservation data, ordering registration data, shop description data, coupon data, advertisement pushing data and booking information data around and along the destination according to the destination data and the along-the-way path data, obtains shift time data, departure station position data and final station position data of the airline ticket reservation service for going to the destination, and obtains car booking waiting time data and nearby vehicle data of the online car booking service, and stores the data as standby data; responding to a service request of a user terminal or based on an active service pushing mechanism, generating a comprehensive navigation service menu comprising a plurality of levels of menu items by using the standby data through a comprehensive navigation process, and pushing the comprehensive navigation service menu serving as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the integrated navigation service menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data.
Preferably, the integrated navigation process responds to a service request of the user terminal or generates a heat navigation map based on the pedestrian volume and the traffic volume according to the road condition data of the network navigation service and the scenic spot ticket purchasing data, seat reservation data and room booking information data around the destination, and pushes the generated heat navigation map as service data to the user terminal interface.
Preferably, the service process generated by the parallel service process unit includes: the user sharing process is used for obtaining the position information of the current user terminal or the service request lifted by the current user terminal, obtaining user photo data or user text data uploaded by other users related to the current user terminal position or the service requested by the current user terminal and stored by a user personal data storage server, and storing the user photo data and the user text data as standby data; responding to a service request of a user terminal or based on an active service pushing mechanism, generating a sharing menu comprising multilevel menu items by using the standby data in a user sharing process, and pushing the sharing menu serving as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the sharing menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data.
Preferably, the process resource scheduling unit calculates a comprehensive weight value of resources occupied by the service process according to the activity degree of the user terminal, the terminal position information, the type of the service process, and the standby data amount corresponding to the service process; and according to the comprehensive weight value, allocating storage space, computing resources and transmission bandwidth for the service process.
The invention further provides a smart tourism-oriented big data integrated parallel storage scheduling method, which is characterized by comprising the following steps:
the method comprises the steps that real-time communication connection is kept with a user terminal participating in the intelligent tourism service, and position information and user personal data uploaded by the user terminal are obtained;
importing service data generated in the network service in real time from operation servers of various network services;
acquiring user personal data uploaded by all user terminals participating in the intelligent tourism service, and storing the user personal data after processing and indexing;
generating parallel service processes of various types aiming at each active user terminal participating in the intelligent travel service; each service process obtains the service data associated with the user terminal position information and the type of service and obtains the user personal data associated with the user terminal position information and the type of service, and each service process saves the obtained service data and the user personal data as standby data in a storage space corresponding to the service process;
responding to a service request of a user terminal or based on an active service push mechanism, carrying out related analysis processing on standby data by each service process by using the standby data in a storage space corresponding to the service process to generate service data related to intelligent tourism, and providing the service data to the user terminal;
and allocating storage space, computing resources and transmission bandwidth for the service process according to at least one of the activity degree of the user terminal, the terminal position information, the type of the service process and the spare data volume corresponding to the service process.
Therefore, the intelligent tourism management system and the intelligent tourism management method have the advantages that various network services such as car booking, ticket booking, hotel booking, dining reservation, navigation and shopping facing to intelligent tourism are fully integrated, all data generated in the intelligent tourism process of a user are fully and comprehensively covered, and comprehensive application is realized. According to the invention, a user can utilize terminals such as a smart phone and the like to obtain various network services through an interface menu, wherein the services comprise a plurality of services such as scenic spot tour guide, scenic spot ticket buying, restaurant booking, ordering in advance, shop discount, hotel booking and the like within a certain distance around the user through a peripheral service process in a one-key manner, the network services of a departure place, a destination and a journey along the way are obtained through a comprehensive navigation in a one-key manner, and the popularity navigation in the aspects of traffic, dining, entering a garden and the like is obtained, so that the phenomena of traffic jam, queuing and the like are prevented; the photos, strategies and the like uploaded by other users related to the current position or the current service of the user can be obtained based on the user sharing process, and the corresponding service is obtained in one key mode on the basis of referring to the photos and strategies uploaded by other users.
Drawings
FIG. 1 is a schematic diagram of the general architecture of a big data integrated parallel storage scheduling system for smart travel according to the present invention;
FIGS. 2A-2C are state diagrams of ambient service menus generated by the ambient service process;
3A-3D are state diagrams of an integrated navigation service menu generated by an integrated navigation process;
fig. 4A-4B are user sharing service menu state diagrams generated by the user sharing process.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments.
FIG. 1 is a schematic diagram of the general architecture of a big data integrated parallel storage scheduling system for smart travel according to the present invention. The system comprises: the system comprises a user terminal interface 1, a business data import interface 2, a user personal data storage server 3, a parallel service process unit 4 and a process resource scheduling unit 5. The system serves users participating in intelligent tourism, and devices with mobile internet and real-time GPS positioning functions, such as smart phones, owned by the users can be used as user terminals 6 for real-time interaction with the system.
The user terminal interface 1 is used to maintain a real-time communication connection with all the user terminals 6 participating in the smart travel service based on the communication means provided by the mobile internet. Thus, the user terminal interface 1 acquires the location information uploaded by the user terminal 6 and the user personal data. The user terminal 6 acquires its current real-time location information by using GPS positioning and uploads the real-time location information to the user terminal interface 1 at any time. Moreover, the user can select to upload the picture taken by the user terminal 6 or the text data such as the travel strategy edited by the user as the user personal data to the user terminal interface 1. For user personal data, the user terminal 6 may correlate a photograph or a travel strategy with a specific location at the time it was taken or edited, e.g., adding a location tag, based on the located real-time location information. Or, the photos and the travel strategies can be associated with specific services through the selection operation of the user, for example, many users like to take photos or write strategies for food enjoyed during traveling, and at the moment, the photos or strategies can be associated with restaurants providing services; after the above-described association, the user personal data is uploaded to the user terminal interface 1.
The user terminal interface 1 can also receive a service request submitted by the user terminal 6, and transmit the service data generated by the system and related to the intelligent tourism to the user terminal 6 in response to the service request of the user terminal. Alternatively, the present system may be based on an active service push mechanism, where the user terminal interface 1 actively pushes service data to the user terminal 6.
The service data import interface 2 is used as a channel between the system and network service platforms such as network navigation, scenic spot tour guide, dining reservation, shopping discount, air ticket reservation, hotel reservation, online car appointment and the like, and is used for importing service data generated in network services from operation servers of various network services in real time. Specifically, the service data imported by the service data import interface 2 includes: departure place data, destination data, along-the-road path data and along-the-road condition data of the network navigation service; scene point position data, scene description data and scene ticket purchasing data of the scene guide service; restaurant location data, restaurant description data, seat reservation data, and meal ordering registration data for meal order reservation services; shop location data, shop description data, coupon data and push advertisement data of the shopping advertisement service; the time data of the number of shifts, the position data of the departure station and the position data of the final station of the ticket booking service; hotel position data and booking information data of the hotel reservation service; the vehicle appointment waiting time data and the nearby vehicle data of the online vehicle appointment service.
The user personal data storage server 3 stores user personal data such as photos and texts uploaded by all the user terminals 6 participating in the smart travel service, which are acquired through the user terminal interface 1, in the user personal data storage server 3.
The parallel service process unit 4 generates a plurality of parallel, multi-type service processes 41 for each active user terminal 6. The parallel service process unit 4 determines whether the user terminal 6 satisfies at least one of the following conditions, and if so, determines that the user terminal is the active user terminal: the position information of the user terminal is changed continuously, the user terminal uploads a service request to the system, and the user terminal uploads user personal data to the system. Each service process 41 obtains the current real-time location information of the user terminal 6 through the user terminal interface 1, and the service process 41 obtains the service data associated with the current real-time location of the user terminal and the service type corresponding to the service process 41 through the service data import interface 2, and the service process 41 obtains the user personal data associated with the current real-time location information of the user terminal and the service type of the service process 41 from the user personal data storage server 3. And each service process 41 saves the obtained business data and user personal data as spare data in the storage space 42 corresponding to the service process. In response to a service request of the user terminal 6 or based on an active service push mechanism, each service process 41 performs associated analysis processing on the backup data by using the backup data in the storage space 42 corresponding to the service process, generates service data related to smart travel, and provides the service data to a user terminal interface.
Specifically, the service process 41 generated by the parallel service process unit 4 includes a peripheral service process. The ambient service process obtains current real-time location information of the user terminal 6. The peripheral service process provides the current real-time location information to the service data import interface 2, determines the scenic spots, restaurants, shops, and hotels located around the current real-time location (for example, a distance of not more than 2 km) with reference to the relationship between the current real-time location of the user terminal 6 and the scene location data of the scene guide service, the restaurant location data of the meal reservation service, the shop location data of the shopping advertisement service, and the hotel location data of the hotel reservation service, and further obtains the scene description data, the scene ticket purchasing data, the restaurant description data, the seat reservation data, the ordering registration data, the shop description data, the coupon data, the push advertisement data, and the booking information data around the current user terminal location, and stores the data as backup data in the corresponding storage space 42. The user can submit a service request for requesting the peripheral service to the peripheral service process 41 through the user terminal 6, and the peripheral service process 41 provides the peripheral service in response to the service request of the user. Alternatively, the peripheral service process 41 actively pushes the peripheral service to the user terminal 6 based on an active service push mechanism. The peripheral service process 41 generates a peripheral service menu including a plurality of levels of menu items using the above-described backup data. FIGS. 2A-2C are state diagrams of ambient service menus generated by ambient service process 41; as shown in fig. 2A, the top level menu prompts the current real-time location P of the user terminal, and provides a first level menu of "sight spot service", "catering service", "shopping discount", and "hotel service" around the current real-time location P; in response to the selection of the first-level menu by the user, for example, selecting a 'shopping discount' option, as shown in fig. 2B, a list of shops within a predetermined range around the current real-time position P of the user is displayed in the second-level menu according to the shop description data, such as 'a shop', 'B shop', 'C shop', and a shop description of each shop is given; in response to user selection of a store option in the secondary menu, the coupon and push advertisement for the store are displayed on the tertiary menu shown in FIG. 2C. The peripheral service process 41 uses the peripheral service menu as service data and pushes the service data to the user terminal interface 1; the user terminal 6 can obtain any one or more items of the above-mentioned standby data, such as a shop description, by operating the peripheral service menu; and based on the acquired surrounding service menu, extracting a service request from the operation server of the corresponding service, for example, sending a coupon downloading request to the operation server of the shopping discount business.
The service process 41 generated by the parallel service process unit includes an integrated navigation process. The integrated navigation process 41 obtains the current real-time location of the user terminal, and obtains the departure data, the destination data, the along-the-way path data, and the along-the-way road condition data of the network navigation service through the service data import interface 2. Further, the integrated navigation process 41 determines the scenic spots, restaurants, shops, and hotels located near the destination or along the route (for example, a distance of not more than 2 km) based on the destination data and the along-route path data and the relationship between the destination position and the along-route path and the scene point position data of the sight spot navigation service, the restaurant position data of the dining-spot reservation service, the shop position data of the shopping advertisement service, and the hotel position data of the hotel reservation service, and continuously obtains the sight-spot description data, the sight-spot ticket purchasing data, the restaurant description data, the seat reservation data, the ordering registration data, the shop description data, the coupon data, the push advertisement data, the booking information data, and the shift time data, the departure-station position data, the destination-station position data, and the booking waiting time data of the online booking service in the air ticket reservation service, The nearby vehicle data is stored as backup data. The integrated navigation process 41 responds to a service request of the user terminal or is based on an active service push mechanism, and generates an integrated navigation service menu including multiple levels of menu items by using the standby data, and pushes the integrated navigation service menu as service data to a user terminal interface. As shown in fig. 3A, the integrated navigation service menu displays a waypoint including a departure place, a destination, and a first-level menu displaying "spot service", "restaurant service", "shopping discount", "hotel service", "airplane and train ticket booking service", and "car booking service". In response to user selection of, for example, "attraction services" in the first level menu, the destination along with the attractions along the route are displayed in the second level menu shown in figure 3B as S1, S2, S3, and a description of each attraction is given. When the user selects one of the sights, an option of "sight ticketing" is displayed in a three-level menu as in FIG. 3C. The user terminal can obtain any one or more spare data by operating the comprehensive navigation service menu, and can lift a service request to an operation server of a corresponding service based on the obtained spare data; for example, a user may submit an online ticketing services request to an operator server for attraction services via the "attraction ticketing" option of FIG. 3C.
As shown in fig. 3D, the integrated navigation process 41 responds to a service request of the user terminal or based on an active service push mechanism according to the data of road conditions along the route of the network navigation service and the data of ticket purchases of scenic spots around the destination, seat reservation data, and room booking information, and generates a heat navigation map based on the traffic flow and the passenger flow, and pushes the map as service data to the user terminal interface. As shown in fig. 3D, the heat navigation map includes sub-interfaces of traffic heat, ticket purchasing heat of scenic spots, restaurant reservation heat, hotel heat, etc.; for example, on the restaurant reservation heat sub-interface, "restaurant a", "restaurant B", "restaurant C", and the number of real-time available reservations for each restaurant, which are the perimeters of the navigation destinations, are displayed.
The service processes generated by the parallel service process unit further include a user sharing process 41. The user sharing process 41 obtains the current real-time location of the user terminal, or the user sharing process 41 obtains a service request lifted by the current user terminal. As previously described, a user may upload user personal data such as photos and strategies associated with a particular location or a particular service; thus, the user sharing process 41 may obtain user photo data or user text data uploaded by other users associated with the current user terminal location or the service requested by the current user terminal and stored by the user personal data storage server, and store the user photo data and the user text data as backup data. Responding to a service request of a user terminal or based on an active service pushing mechanism, the user sharing process 41 generates a sharing menu including multilevel menu items by using the standby data, and pushes the sharing menu as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the sharing menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data. As shown in fig. 4A, according to the real-time location P of the current user terminal, the shared attack icons G1, G2, G3 of other users associated with the location may be displayed on the sharing menu; the user can select one of the icons to enter the secondary menu of fig. 4B, and the specific characters of the sharing strategy are displayed in the secondary menu; for example, if the strategy is also associated with a restaurant, the menu item "seat booking" for that restaurant may be displayed in the menu shown in FIG. 4B, and the user may click on the menu item to lift the service request to the operator server for the "seat booking" service.
Returning to fig. 1, the process resource scheduling unit 5 allocates a storage space, a computing resource, and a transmission bandwidth to the service process according to at least one of the activity level of the user terminal, the terminal location information, the type of the service process, and the amount of standby data corresponding to the service process. For example, the process resource scheduling unit 5 calculates a comprehensive weight value of resources occupied by the service process according to the activity degree of the user terminal, the terminal position information, the type of the service process, and the backup data amount corresponding to the service process; and according to the comprehensive weight value, allocating storage space, computing resources and transmission bandwidth for the service process.
Therefore, the intelligent tourism management system and the intelligent tourism management method have the advantages that various network services such as car booking, ticket booking, hotel booking, dining reservation, navigation and shopping facing to intelligent tourism are fully integrated, all data generated in the intelligent tourism process of a user are fully and comprehensively covered, and comprehensive application is realized. According to the invention, a user can utilize terminals such as a smart phone and the like to obtain various network services through an interface menu, wherein the services comprise a plurality of services such as scenic spot tour guide, scenic spot ticket buying, restaurant booking, ordering in advance, shop discount, hotel booking and the like within a certain distance around the user through a peripheral service process in a one-key manner, the network services of a departure place, a destination and a journey along the way are obtained through a comprehensive navigation in a one-key manner, and the popularity navigation in the aspects of traffic, dining, entering a garden and the like is obtained, so that the phenomena of traffic jam, queuing and the like are prevented; the photos, strategies and the like uploaded by other users related to the current position or the current service of the user can be obtained based on the user sharing process, and the corresponding service is obtained in one key mode on the basis of referring to the photos and strategies uploaded by other users.
The above embodiments are only for illustrating the invention and are not to be construed as limiting the invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention, therefore, all equivalent technical solutions also belong to the scope of the invention, and the scope of the invention is defined by the claims.
Claims (10)
1. The utility model provides a big data integration parallel storage dispatch system towards wisdom tourism which characterized in that includes:
the system comprises a user terminal interface, a user terminal interface and a user terminal management module, wherein the user terminal interface is used for keeping real-time communication connection with a user terminal participating in the intelligent tourism service and acquiring position information and user personal data uploaded by the user terminal; receiving a service request submitted by a user terminal; responding to a service request of a user terminal or transmitting service data related to intelligent tourism to the user terminal based on an active service push mechanism;
the business data import interface is used for importing the business data generated in the network service in real time from operation servers of various network services;
the user personal data storage server is used for acquiring and storing user personal data uploaded by all user terminals participating in the intelligent tourism service through a user terminal interface;
the parallel service process unit is used for generating parallel service processes of various types aiming at each active user terminal participating in the intelligent tourism service; each service process obtains the service data associated with the user terminal position information and the type of service through a service data import interface, and obtains the user personal data associated with the user terminal position information and the type of service from a user personal data storage server, and each service process saves the obtained service data and the user personal data as standby data in a storage space corresponding to the service process; responding to a service request of a user terminal or based on an active service push mechanism, carrying out related analysis processing on standby data by each service process by using the standby data in a storage space corresponding to the service process to generate service data related to intelligent tourism, and providing the service data to a user terminal interface;
and the process resource scheduling unit is used for allocating storage space, computing resources and transmission bandwidth for the service process according to at least one of the activity degree of the user terminal, the terminal position information, the type of the service process and the spare data volume corresponding to the service process.
2. The big data integrated parallel storage scheduling system of claim 1, wherein the parallel service process unit determines whether the user terminal satisfies at least one of the following conditions, and if so, determines that the user terminal is the active user terminal: the location information of the user terminal changes continuously and the user terminal uploads a service request or user personal data.
3. The big data integrated parallel storage scheduling system according to claim 2, wherein the traffic data of the network service imported by the traffic data import interface includes at least one of the following traffic data: departure place data, destination data, along-the-road path data and along-the-road condition data of the network navigation service; scene point position data, scene description data and scene ticket purchasing data of the scene guide service; restaurant location data, restaurant description data, seat reservation data, and meal ordering registration data for meal order reservation services; shop location data, shop description data, coupon data and push advertisement data of the shopping advertisement service; the time data of the number of shifts, the position data of the departure station and the position data of the final station of the ticket booking service; hotel position data and booking information data of the hotel reservation service; the vehicle appointment waiting time data and the nearby vehicle data of the online vehicle appointment service.
4. The big data integrated parallel storage scheduling system according to claim 3, wherein the user personal data obtained by the user terminal interface comprises: user photo data associated with a particular location or a particular service, user text data associated with a particular location or a particular service.
5. The big data integrated parallel storage scheduling system according to claim 4, wherein the service processes generated by the parallel service process unit include: a peripheral service process, which obtains the position information of the current user terminal, and obtains the sight spot description data, sight spot ticket purchasing data, restaurant description data, seat reservation data, ordering registration data, shop description data, coupon data, push advertisement data and booking information data around the current user terminal position, and stores the data as standby data; responding to a service request of a user terminal or based on an active service pushing mechanism, generating a peripheral service menu comprising a plurality of levels of menu items by using the standby data in a peripheral service process, and pushing the peripheral service menu serving as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the peripheral service menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data.
6. The big data integrated parallel storage scheduling system according to claim 4, wherein the service processes generated by the parallel service process unit include: the integrated navigation process acquires the current user terminal position information, and acquires departure place data, destination data, along-the-way path data and along-the-way road condition data of the network navigation service; the comprehensive navigation process continuously obtains scenic spot description data, scenic spot ticket purchasing data, restaurant description data, seat reservation data, ordering registration data, shop description data, coupon data, advertisement pushing data and booking information data around and along the destination according to the destination data and the along-the-way path data, obtains shift time data, departure station position data and final station position data of the airline ticket reservation service for going to the destination, and obtains car booking waiting time data and nearby vehicle data of the online car booking service, and stores the data as standby data; responding to a service request of a user terminal or based on an active service pushing mechanism, generating a comprehensive navigation service menu comprising a plurality of levels of menu items by using the standby data through a comprehensive navigation process, and pushing the comprehensive navigation service menu serving as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the integrated navigation service menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data.
7. The big data integrated parallel storage scheduling system of claim 6, wherein the integrated navigation process generates a heat navigation map based on pedestrian volume and traffic volume as service data to be pushed to the user terminal interface according to the data of road conditions along the route of the network navigation service and the data of ticket purchases of scenic spots around the destination, seat reservation data, and booking information data in response to a service request of the user terminal or based on an active service push mechanism.
8. The big data integrated parallel storage scheduling system according to claim 6, wherein the service processes generated by the parallel service process unit include: the user sharing process is used for obtaining the position information of the current user terminal or the service request lifted by the current user terminal, obtaining user photo data or user text data uploaded by other users related to the current user terminal position or the service requested by the current user terminal and stored by a user personal data storage server, and storing the user photo data and the user text data as standby data; responding to a service request of a user terminal or based on an active service pushing mechanism, generating a sharing menu comprising multilevel menu items by using the standby data in a user sharing process, and pushing the sharing menu serving as service data to a user terminal interface; the user terminal can obtain any one or more of the standby data by operating the sharing menu, and lift the service request to the operation server of the corresponding service based on the obtained standby data.
9. The big data integrated parallel storage scheduling system according to claim 4, wherein the process resource scheduling unit calculates a comprehensive weight value of resources occupied by the service process according to an activity degree of the user terminal, terminal position information, a type of the service process, and a spare data amount corresponding to the service process; and according to the comprehensive weight value, allocating storage space, computing resources and transmission bandwidth for the service process.
10. A big data integrated parallel storage scheduling method for smart tourism is characterized by comprising the following steps:
the method comprises the steps that real-time communication connection is kept with a user terminal participating in the intelligent tourism service, and position information and user personal data uploaded by the user terminal are obtained;
importing service data generated in the network service in real time from operation servers of various network services;
acquiring user personal data uploaded by all user terminals participating in the intelligent tourism service, and storing the user personal data after processing and indexing;
generating parallel service processes of various types aiming at each active user terminal participating in the intelligent travel service; each service process obtains the service data associated with the user terminal position information and the type of service and obtains the user personal data associated with the user terminal position information and the type of service, and each service process saves the obtained service data and the user personal data as standby data in a storage space corresponding to the service process;
responding to a service request of a user terminal or based on an active service push mechanism, carrying out related analysis processing on standby data by each service process by using the standby data in a storage space corresponding to the service process to generate service data related to intelligent tourism, and providing the service data to the user terminal;
and allocating storage space, computing resources and transmission bandwidth for the service process according to at least one of the activity degree of the user terminal, the terminal position information, the type of the service process and the spare data volume corresponding to the service process.
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| CN111415177A (en) * | 2019-01-04 | 2020-07-14 | 上海博泰悦臻电子设备制造有限公司 | Automatic advertisement pushing method, server and system based on vehicle position |
| CN111835831B (en) * | 2020-06-16 | 2023-11-03 | 北京嘀嘀无限科技发展有限公司 | Service pushing method and device and electronic equipment |
| CN112667902A (en) * | 2020-12-31 | 2021-04-16 | 上海实迅网络科技有限公司 | 3D information display system based on geographical position |
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