CN112257961A - Travel planning system and method based on big data - Google Patents
Travel planning system and method based on big data Download PDFInfo
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- CN112257961A CN112257961A CN202011274762.2A CN202011274762A CN112257961A CN 112257961 A CN112257961 A CN 112257961A CN 202011274762 A CN202011274762 A CN 202011274762A CN 112257961 A CN112257961 A CN 112257961A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Abstract
A journey planning system and method based on big data, the system includes the information input module, is used for gathering the demand information input; the analysis module is used for generating a main scenic spot scheme and an alternative scenic spot scheme, calculating the predicted playing time of each scenic spot scheme and sending the main scenic spot scheme to the scheme output module; calculating the current playing time of the main scenic spot scheme and the alternative scenic spot scheme according to the real-time playing time of each scenic spot acquired by the data statistics module, comparing the predicted playing time with the current playing time, and sending the alternative scenic spot scheme meeting preset conditions to the scheme output module when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme meets the preset conditions; the data statistics module is used for acquiring the real-time playing time of each scenic spot in the main scenic spot scheme and the alternative scenic spot scheme and sending the real-time playing time of each scenic spot to the analysis module; and the scheme output module is used for receiving and outputting the generated main scenic area scheme or the alternative scenic area scheme meeting the preset conditions.
Description
Technical Field
The invention relates to the field of travel route planning, in particular to a travel planning system and method based on big data.
Background
The tourism industry is an important component of the modern service industry. With the upgrading of consumption level and the adjustment of industrial structure, the travel mode of people gradually develops from the early travel following the travel group to self-service travel, and the travel mode is gradually diversified and personalized.
The self-service tour allows tourists to design a journey plan more flexibly, meanwhile, various types of tourism information such as scenic spot positions, scenic spot information, traffic information, accommodation information and the like are directly presented to the tourists, and the tourists have to process a large amount of tourism information to design a journey plan suitable for the tourists. However, such a design often takes one of the problems into consideration, for example, the fullness of the number of people of each scenic spot in the scenic spot greatly prolongs the playing time of the scenic spot, and if the factor is not considered in the route planning, the actual playing time of the scenic spot exceeds the time in the route planning, so that the playing time of the other scenic spots is reduced, and the self-driving tour cannot be smoothly performed according to the route planning, thereby reducing the travel experience.
In order to solve the problem of travel planning of self-service tourism, various travel planning systems are designed in the prior art. Patent CN111402085A discloses a tourism customization system based on big data, this system passes through the data statistics module and receives weather big data platform, traffic data platform, the data of multiclass data sources such as tourism big data public service platform match the sight spot and calculate the planning stroke, obtain more comprehensive reference through the prediction, improve the computational accuracy of tourism stroke, thereby satisfy visitor's tourism preference, to the travel arrangement that visitor's propelling movement accords with its preference, improve visitor's journey planning experience. Patent CN111369047A discloses a tour route planning method and system based on microbial genetic algorithm, which constructs scenic spot database, combines with the requirements of users, and plans tour route based on microbial genetic algorithm, thereby providing reasonable route recommendation, reducing the consumption of computing resources, and increasing the response speed of recommendation result.
In the travel planning, the playing time required by each scenic spot is a decisive factor, and the existing travel planning system is mainly a travel planning made based on the historical playing time of the scenic spot, so that the existing travel planning system lacks sufficient adjusting capacity. Although the travel can be planned by calculating the playing time of each scenic spot according to the historical playing time and combining weather forecast information, traffic conditions and other indexes, the historical playing time is adopted for the scenic spot playing time which can play a decisive role in planning the playing quantity and sequence of the scenic spots in the travel planning. Although the historical playing time has a reference function and can be predicted according to the historical playing time, the historical playing time still cannot accurately reflect the playing time of a scenic spot on the day of travel, for example, a scenic spot such as a Disney park which needs visitors to queue for participating in a large-scale amusement project, and the overall playing time of the scenic spot is mainly determined by the number of the visitors, particularly the queue items and the number of the visitors of the large-scale amusement project. Scenic spots such as the Huashan mountain and the Huangshan mountain, which contain part of narrow areas where visitors queue up, and scenic spots such as museums, which need to control the number of visitors, are also subject to the condition that the playing time of the scenic spots is obviously changed due to queuing. For the scenic spots, the trip plan may be generated to automatically avoid or select a scenic spot preferred by the tourists due to the problem of the total time of the tourists visiting, so that the tourists are difficult to select in the trip plan and are forced to abandon a scheme containing more intended scenic spots. However, on the day of travel, the actual number of lines in a scenic spot may be significantly different from the expected estimated number of lines, which can allow tourists to visit more intended scenic spots on the day, but the tourists miss the scenic spots due to the guidance of the journey planning, and regret the tourists during the travel. In addition, local dispersion and drainage of tourism is also very disadvantageous, for example, a large number of tourists adopting the same travel planning cause over-congestion of part of scenic spots on the day of tourism, the carrying capacity of the part of scenic spots is remarkably increased, the actual playing time of the part of scenic spots is obviously longer than the expected playing time, the number of people of the part of scenic spots outside the planning is relatively small on the day of tourism, and the actual playing time is shorter than the expected playing time. In addition, the prediction correction by adding too many influence indexes on the premise of taking the historical playing time as a main reference factor is a behavior of inversion at this end, so that the estimation result is not accurate due to the problems, and the system calculation amount is easily increased remarkably.
Disclosure of Invention
The invention aims to provide a big data-based travel planning system and a big data-based travel planning method, which can generate main schemes according to the playing time of tourists and generate alternative schemes containing more tourist preference scenic spots, can recommend alternative schemes for the tourists according to the real-time playing time of the preference scenic spots on the day of the tourists' traveling, reasonably adjust the travel planning, enable the tourists to play more preference scenic spots without regrettedly as much as possible, and improve the travel experience.
The above purpose is realized by the following technical scheme:
a travel planning system based on big data comprises an information input module, an analysis module, a scheme output module and a data statistics module,
the information input module is used for acquiring input demand information;
the analysis module is used for generating a main scenic spot scheme and an alternative scenic spot scheme according to the demand information, calculating the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme, and sending the main scenic spot scheme to the scheme output module; calculating the current playing time of the main scenic spot scheme and the alternative scenic spot scheme according to the real-time playing time of each scenic spot acquired by the data statistics module, comparing the predicted playing time with the current playing time, and sending the alternative scenic spot scheme meeting preset conditions to the scheme output module when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme meets the preset conditions;
the data statistics module is used for acquiring the real-time playing time of each scenic spot in the main scenic spot scheme and the alternative scenic spot scheme and sending the real-time playing time of each scenic spot to the analysis module;
and the scheme output module is used for receiving and outputting the generated main scenic spot scheme or the alternative scenic spot scheme meeting the preset conditions.
In the technical scheme, the system comprises an information input module, an analysis module, a scheme output module and a data statistics module.
The information input module is used for collecting the demand information input by the tourist through the terminal. In some embodiments, the demand information includes the guest's intended scenic spot, starting location, and duration of the tour. In one or more embodiments, the demand information further includes information such as inter-scene distance, scene price, scene food quantity, subjective score or rating of the guest, and the like.
The analysis module receives the demand information input by the user side, generates a main scenic spot scheme and at least one alternative scenic spot scheme according to various demand information, and calculates the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme. In some embodiments, the predicted playing time of the main scenic spot solution and the alternative scenic spot solution may be based on a specific scenic spot in the scenic spot solution, and an algorithm disclosed in the prior art is adopted to predict the predicted playing time of the scenic spot solution in combination with the data statistics module to collect weather, traffic and ticket selling conditions. And after the calculation is finished, the main scene area scheme is sent to the user side through the scheme output module according to the screening condition.
Besides calculating the predicted playing time of each scenic spot scheme, the analysis module collects the real-time playing time of each scenic spot through the data statistics module on the current playing day, and then counts the current playing time in the originally planned main scenic spot scheme and the alternative scenic spot scheme in the traveling process. By comparing the current playing time of the main scenic spot scheme and the alternative scenic spot scheme, when the main scenic spot scheme and the alternative scenic spot scheme meet specific preset conditions, the alternative scenic spot scheme meeting the preset conditions is sent to the scheme output module, so that the tourists can determine whether to replace the alternative scheme according to the self condition.
The data statistics module is used for obtaining the data of each information acquisition platform, and in this technical scheme, the data statistics module is connected with a plurality of scenic spot passenger flow volume statistics platforms in order to obtain the real-time playing time of corresponding scenic spot, sends the real-time playing time to the analysis module so that the analysis module can calculate the current playing time of each scenic spot scheme based on the real-time playing time of each scenic spot to accomplish the comparison of current playing time and expected playing time.
The scheme output module sorts, sorts and screens the main scenic spot schemes from the analysis module or the alternative scenic spot schemes meeting preset conditions through a pushing unit, and then sends the sorted and screened main scenic spot schemes or alternative scenic spot schemes meeting the preset conditions to the tourist terminal.
Through the arrangement, the travel planning system can design a main scenic spot scheme and alternative scenic spot schemes in advance according to demand information input by tourists, after the main scenic spot scheme is pushed, the system calculates the current playing time of the main scenic spot scheme and each alternative scenic spot scheme in real time on the day of travel, and when the current playing time and the predicted playing time meet specific preset conditions, the alternative tourist schemes are pushed to the tourists, so that the tourists have the opportunity to adjust travel planning on the day of travel, visit the intended scenic spots as much as possible, and the wall surface is regretted in the travel process; in the scenic spot, the journey planning system can well guide the tourists, avoid the tourists from being bound and piled in a certain recommended scenic spot and neglecting part of hot scenic spots which are forbidden due to the pre-measured passenger flow, guide the passenger flow more reasonably and adjust the carrying capacity of each scenic spot; in addition, based on more accurate current playing time, the total playing time of the scenic spot scheme can be calculated more reasonably, meanwhile, the operation load can be effectively reduced due to the great reduction of variables, and the calculation efficiency is improved.
As a preferred embodiment of the present invention, the demand information includes an intended scenic spot, a starting place and a tour duration, the analysis module matches the intended scenic spot, acquires an unintended scenic spot adjacent to the intended scenic spot based on the intended scenic spot, calls historical play times of the intended scenic spot and the unintended scenic spot, obtains a plurality of scenic spot solutions based on the tour duration and the historical play times, and predicted play times corresponding to the scenic spot solutions, the scenic spot solutions including at least one intended scenic spot; and screening a main scenic spot scheme from the scenic spot schemes according to the first screening condition, taking the other scenic spot schemes as alternative scenic spot schemes, and sequencing the alternative scenic spot schemes according to the second screening condition. In the technical scheme, the intention scenic spot, the starting place and the visiting time are used as basic elements of the demand information, and weather, traffic conditions, traffic control and scenic spot ticket prices can be added as auxiliary elements in some embodiments. The method comprises the steps of obtaining a preliminary scenic spot scheme through arrangement and combination of the intended scenic spots, calculating calculation time of each preliminary scenic spot scheme by combining historical playing time of each scenic spot in an initial place and the scheme, generating a plurality of scenic spot schemes comprising at least one intended scenic spot through adding or not adding unintended scenic spots based on tour duration input by tourists, screening out a main scenic spot scheme and an alternative scenic spot scheme by utilizing a first screening condition, and sequencing the alternative scenic spot schemes by utilizing a second screening condition.
Further, the first filtering condition is to include a scenic spot scenario with the largest number of intended scenic spots as a main scenic spot scenario.
Further, the second screening condition is the number of the intended scenic spots, the number of the popular scenic spots, the number of the gourmet scenic spots or the total amount of tickets in the scenic spots. The user side can obtain alternative scenic spot schemes with different sequences by selecting the second screening condition, so that the scenic spot schemes meeting the requirements of the user side are selected from the alternative schemes with the front ranks.
As another preferred embodiment of the present invention, the preset condition is that the current play time of the alternative scenic spot solution is less than the predicted play time of the alternative scenic spot solution, or the current play time of the alternative scenic spot solution is greater than the predicted play time of the alternative scenic spot solution, and the current play time of the main scenic spot solution is also greater than the predicted play time of the main scenic spot solution. In the technical scheme, when the current playing time of the alternative scenic spot scheme is less than the predicted playing time, the alternative scenic spot scheme is pushed to the guest terminal no matter whether the current playing time of the main scenic spot scheme is greater than the predicted playing time. When the passenger flow of one or more scenic spots is full, the current playing time of the main scenic spot scheme is larger than the predicted playing time of the main scenic spot scheme, and the current playing time of the alternative scenic spot scheme is also larger than the predicted playing time of the alternative scenic spot scheme, the alternative scenic spot scheme is also pushed to the tourist terminal, so that the tourist can flexibly select the alternative scenic spot scheme which is relatively more suitable for the demands of the tourist. Through the arrangement, when the alternative scenic spot scheme is smaller than the expected playing time, the tourist can receive the corresponding alternative scenic spot scheme as a reference and judge whether the currently executed main scenic spot scheme is necessary to be abandoned; when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme is larger than the corresponding predicted playing time, the situation that tourists are full in partial scenic spots in the scheme is explained, at the moment, the tourists can give up partial scenic spots in time according to the pushed alternative scheme, a new alternative scenic spot scheme is executed, missing of the intended scenic spots is avoided, meanwhile, macroscopic passenger flow drainage in tourist areas is facilitated, and the tourists are prevented from being piled in the partial scenic spots.
Further, when the current play time of the alternative scenic spot scheme is greater than the expected play time of the alternative scenic spot scheme and the current play time of the main scenic spot scheme is also greater than the expected play time of the main scenic spot scheme, the current play time of the pushed alternative scenic spot scheme is not more than 60% of the current play time of the main scenic spot scheme.
Further, when the current playing time of the alternative scenic spot schemes is smaller than the predicted playing time of the alternative scenic spot schemes, the top N alternative scenic spot schemes which are sorted according to the second screening condition are pushed, and N is larger than or equal to 2.
The system is based on a prop receiving and sending device of a waiting area arranged at each main scene point in the scenic area, calculates the number of the props to be taken while receiving and sending the props, calculates the number of people in line in the waiting area, obtains the current actual playing time of each hot scene point in the scenic area, further calculates the total playing time of the scenic area, and sends the data to a data statistics module of the system, so that the system can conveniently push alternative schemes according to actual conditions.
Specifically, the system also comprises a scenic spot passenger flow volume counting platform, wherein the scenic spot passenger flow volume counting platform is used for counting the real-time playing time of the corresponding scenic spot and sending the real-time playing time to the data counting module; the scenic spot passenger flow volume counting platform is connected with a prop receiving and sending device arranged in the scenic spot, and the prop receiving and sending device is used for receiving and sending the props required by the scenic spot, counting the number of queuing people according to the receiving and sending volume of the props, calculating the real-time playing time of the corresponding scenic spot, and sending the real-time playing time to the scenic spot passenger flow volume counting platform. Some scenic spots in scenic spot need usually provide appointed stage property to the visitor, for example, some large-scale amusement projects need provide 3D glasses in order to improve the tourism and experience to the visitor, and some scenic spots still can provide raincoat, goggles, bracelet, seal, explanation equipment etc. to the visitor. The number of people who queue can be counted up by arranging the property receiving and sending device to the tourists who queue ahead the scenic spot, so that the total time required for queuing is calculated according to the flowing time of the tourist units of the scenic spots, the total queuing time of a plurality of hot scenic spots in the scenic spot and the common visiting time of the non-hot scenic spots are combined, more accurate real-time scenic spot visiting time is obtained, and the current visiting time of a main scenic spot scheme and each alternative scenic spot scheme can be calculated by the analysis module.
As a preferred embodiment of the property receiving and sending device, the property receiving and sending device comprises a shell, a first opening and a second opening are arranged on the shell, a outbox is arranged in the first opening, the outbox is used for containing properties required by a scenic spot to be issued, weight information of a road tool in the outbox is collected, the weight information is sent to a calculating unit, an inbox is arranged in the second opening, the inbox is used for containing the properties required by the recovered scenic spot, collecting the quantity of the properties in the inbox, and sending the quantity information to the calculating unit, and the calculating unit is used for calculating the number of people in line in the scenic spot based on the weight information and the quantity information; the outbox can move into inside the casing and be located the inbox below through first opening, the inbox includes collection state, trigger state and unloads the state, the stage property drive inbox that holds in the inbox switches between collection state and trigger state, and under the collection state, the outbox of vertical downward removal does not contact with the inbox when passing through the inbox, and under the trigger state, the outbox of vertical downward removal contacts with the inbox when passing through the inbox to drive the inbox and switch to the state of unloading by the trigger state, under the state of unloading, stage property in the inbox removes to the outbox in.
In the technical scheme, the outbox is arranged in the first opening formed in the shell and can vertically move into or out of the shell through the first opening, preferably, the upper travel limit position of the outbox is that at least part of the outbox is positioned above the first opening, and the lower travel limit position of the outbox is that most of the outbox is positioned below the inbox. The outbox is used for holding the sight spot props to be issued, and the sight spot props can be any one of 3D glasses, goggles, bracelets, seals, explanation equipment and raincoats, and can also be required props of other sight spots. The outbox is used for collecting weight information of props in the outbox.
The receiving hopper is used for containing the recovered scenery spot props, and when the tourists do not want to queue, the scenery spot props are placed into the receiving hopper to be collected. The receiving hopper is used for collecting the quantity information of the recovered props and sending the quantity information to the calculating unit, and the calculating unit calculates the current queuing number of the scenic spots based on the weight information and the quantity information. The receiving hopper comprises a collecting state, a triggering state and an unloading state. In the collecting state, the prop continuously falls into the receiving hopper, and the receiving hopper is driven to be switched to the triggering state from the collecting state; the receiving hopper in the triggering state is further switched to the unloading state under the driving of the sending box which vertically moves downwards, and finally, the props stored in the receiving hopper gradually move to the sending box in the unloading state. After the unloading is finished, the outbox moves to the position near the first opening again for sending, the receiving hopper is switched to the triggering state from the unloading state, and finally the receiving hopper returns to the collecting state to recover the props again.
When the system is used, the prop receiving and sending device advances along the queuing direction, during the advancing process, tourists obtain props needed to be used by corresponding scenic spots from the outbox, if no props exist in the scenic spots, a bracelet used for passing through the entrance gate can be issued, and after the props in the outbox are taken away, the outbox counts the prop issuing amount in a certain time period according to the weight information difference; if the tourist feels that the queuing time is too long and does not want to wait continuously, the props can be put into the receiving hopper and leave the queue, and the receiving hopper counts the quantity information of the put props. When the number of the props in the outbox is lower than a threshold value or the delivery amount is larger than the threshold value, the outbox is controlled to move vertically and downwards, if a certain amount of props exist in the inbox, the inbox is in a triggering state, the outbox can be driven to switch from the triggering state to an unloading state in the moving process, and finally the props in the inbox are moved to the outbox in the unloading state; after the unloading is finished, the outbox vertically moves upwards to the position near the first opening, and the receiving hopper returns to the unloading state or the collecting state under the condition that the external force is unloaded, and the prop is continuously collected.
The queuing time of the scenic spots and the amount of departure of the tourists of the scenic spots in unit time are calculated according to the prop issuing amount, the queuing time of the current scenic spot can be calculated, the real-time playing time of the scenic spot is further estimated, and the total playing time of the scenic spot can be calculated by counting the real-time playing time of all the scenic spots, the main scenic spots or the popular scenic spots.
Through the setting, stage property transceiver not only makes the granting of stage property more convenient, reduce staff's work load, and can calculate the current number of lining up through calculating stage property issue volume and recovery volume, and then calculate the sight spot, the real-time playing time of scenic spot, make the scenic spot real-time playing time that the data statistics module obtained can reflect the passenger flow condition and the length of visiting time of current scenic spot more accurately, and make the analysis module can calculate the current playing time of each scenic spot scheme based on this real-time playing time, switch the scheme that provides more accurately for the journey planning system, reliable judgement basis.
In some embodiments, the prop transceiver is further provided with a running mechanism, in one or more embodiments, the running mechanism is a universal wheel arranged at the bottom of the shell, and in one embodiment, the running mechanism is driven by a motor to automatically run. In one or more embodiments, the running gear may be a slide block and can move along a slide rail matched with the slide block under the driving of a motor.
The invention also provides a travel planning method based on big data, which adopts any travel planning system, and comprises the following steps:
collecting input demand information;
generating a main scenic spot scheme and an alternative scenic spot scheme based on the demand information, calculating the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme, and pushing the main scenic spot scheme to the user side;
acquiring real-time playing time of each scenic spot through a scenic spot passenger flow volume counting platform of each scenic spot, and calculating the current playing time of a main scenic spot scheme and an alternative scenic spot scheme;
and comparing the predicted playing time with the current playing time, and pushing the alternative scenic region scheme to the user terminal when the current playing time of the alternative scenic region scheme is less than the predicted playing time of the alternative scenic region scheme, or the current playing time of the alternative scenic region scheme is greater than the predicted playing time of the alternative scenic region scheme and the current playing time of the main scenic region scheme is also greater than the predicted playing time of the main scenic region scheme.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the travel planning system can design a main scenic spot scheme and alternative scenic spot schemes in advance according to demand information input by tourists, after the main scenic spot scheme is pushed, the system calculates the current playing time of the main scenic spot scheme and each alternative scenic spot scheme in real time on the day of travel, and when the current playing time and the predicted playing time meet specific preset conditions, the alternative tourist schemes are pushed to the tourists, so that the tourists have the opportunity to adjust travel planning on the day of travel, visit the intention scenic spots as much as possible, and the wall surface leaves regret in the travel process;
2. the journey planning system can well guide the tourists, avoid the tourists from being bundled in a certain recommended scenic spot and neglecting part of popular scenic spots which are forbidden due to the pre-measured passenger flow, guide the passenger flow more reasonably and adjust the bearing capacity of each scenic spot;
3. the method can calculate the total playing time of the scenic spot scheme more reasonably based on more accurate current playing time, and meanwhile, the calculation load can be effectively reduced and the calculation efficiency can be improved due to the great reduction of variables;
4. when the alternative scenic spot scheme is smaller than the expected playing time, the tourist can receive the corresponding alternative scenic spot scheme as a reference and judge whether the currently executed main scenic spot scheme is necessary to be abandoned; when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme is larger than the corresponding predicted playing time, the situation that tourists are full in partial scenic spots in the scheme is explained, at the moment, the tourists can give up partial scenic spots in time according to the pushed alternative scheme, and execute a new alternative scenic spot scheme, so that the missing of the intended scenic spots is avoided, the macroscopic passenger flow drainage in tourist areas is facilitated, and the tourists are prevented from being piled in the partial scenic spots;
5. the property receiving and sending device not only enables property to be more conveniently distributed and reduces the workload of workers, but also can calculate the number of current queuing people by calculating property distribution quantity and recovery quantity, further calculate the real-time playing time of scenic spots and scenic spots, enable the real-time playing time of the scenic spots obtained by the data statistics module to more accurately reflect the passenger flow condition and the visiting duration of the current scenic spots, enable the analysis module to calculate the current playing time of each scenic spot scheme based on the real-time playing time, and provide more accurate and reliable judgment basis for scheme switching of a travel planning system;
6. the property receiving and sending device adopts a linkage design, so that the outbox and the receiving hopper do not need to be controlled by a precise control element, the receiving hopper is driven to be switched from a triggering state to a piece unloading state through the buckle plate on the outbox in the process of moving the outbox downwards, the piece unloading operation is finally completed, the control mode is simplified, and the production cost is obviously reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a block diagram of a trip planning system according to an embodiment of the present invention;
FIG. 2 is a block flow diagram of a trip planning method in an embodiment of the invention;
FIG. 3 is a schematic structural diagram of a prop transceiver according to an embodiment of the present disclosure;
FIG. 4 is a partial cross-sectional view of a prop transceiver in an embodiment of the present invention;
fig. 5 is a schematic view of an in-take bucket of the item receiving and sending device turning over the turning plate when a certain number of items are stocked, and switching the in-take bucket from a collection state to a trigger state in the embodiment of the invention;
FIG. 6 is a schematic diagram illustrating the switching from the trigger state to the unloading state of the inbox when the inbox of the item transceiver contacts with the buckle plate of the outbox in the embodiment of the present invention;
fig. 7 is a schematic view of an intermediate state of the trigger state of the receiving hopper when the buckle plate of the prop receiving and sending device drives the turnover plate to turn over in the embodiment of the invention;
fig. 8 is a schematic diagram showing the relative positions of the outbox and the receiving hopper when the receiving hopper is in the unloading state after the flip plate of the prop receiving and sending device is flipped to the travel position in the embodiment of the invention.
Reference numbers and corresponding part names in the drawings:
1-shell, 11-first opening, 12-second opening, 2-outbox, 21-first weighing sensor, 22-weighing plate, 23-baffle, 24-spring, 25-buckle, 3-receiving hopper, 31-fixing plate, 32-turnover plate, 33-flow limiting plate, 4-hydraulic cylinder, 5-mounting plate and 6-running mechanism.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
In the description of the present invention, it is to be understood that the terms "front", "rear", "left", "right", "upper", "lower", "vertical", "horizontal", "high", "low", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore, should not be taken as limiting the scope of the invention.
Example 1:
the big data-based journey planning system shown in fig. 1 comprises an information input module, an analysis module, a scheme output module and a data statistics module,
the information input module is used for acquiring input demand information;
the analysis module is used for generating a main scenic spot scheme and an alternative scenic spot scheme according to the demand information, calculating the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme, and sending the main scenic spot scheme to the scheme output module; calculating the current playing time of the main scenic spot scheme and the alternative scenic spot scheme according to the real-time playing time of each scenic spot acquired by the data statistics module, comparing the predicted playing time with the current playing time, and sending the alternative scenic spot scheme meeting preset conditions to the scheme output module when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme meets the preset conditions;
the data statistics module is used for acquiring the real-time playing time of each scenic spot in the main scenic spot scheme and the alternative scenic spot scheme and sending the real-time playing time of each scenic spot to the analysis module;
and the scheme output module is used for receiving and outputting the generated main scenic spot scheme or the alternative scenic spot scheme meeting the preset conditions.
In some embodiments, the demand information includes the guest's intended scenic spot, starting location, and duration of the tour. In one or more embodiments, the demand information further includes information such as inter-scene distance, scene price, scene food quantity, subjective score or rating of the guest, and the like.
In some embodiments, the predicted playing time of the main scenic spot solution and the alternative scenic spot solution may be based on a specific scenic spot in the scenic spot solution, and an algorithm disclosed in the prior art is adopted to predict the predicted playing time of the scenic spot solution in combination with the data statistics module to collect weather, traffic and ticket selling conditions. And after the calculation is finished, the main scene area scheme is sent to the user side through the scheme output module according to the screening condition.
In one or more embodiments, after the tourist selects the alternative scenic spot scheme, the system compares the difference between the main scenic spot scheme and the alternative scenic spot scheme, and for scenic spots which do not exist in the main scenic spot scheme in the alternative scenic spot scheme, the route is changed, and meanwhile, the ticket selling condition is confirmed and tickets are purchased online, so that the playing time is further saved, meanwhile, the passenger flow carrying capacity of the target scenic spot within a certain future time can be predicted through the ticket purchasing information and fed back to the journey planning system, and passenger flow guiding is facilitated.
In one or more embodiments, the data statistics module is further connected with a meteorological data platform, a traffic data platform, a geological monitoring platform, and a scenic spot comprehensive information service platform to determine feasibility of current alternative scenic spot schemes and to more accurately calculate current playing time of the alternative scenic spot schemes.
In this embodiment, the trip planning system can design a main scenic spot scheme and alternative scenic spot schemes in advance according to demand information input by tourists, and after the main scenic spot scheme is pushed, the system calculates the current playing time of the main scenic spot scheme and each alternative scenic spot scheme in real time on the same day of travel, and when the current playing time and the predicted playing time meet specific preset conditions, the alternative tourist schemes are pushed to the tourists, so that the tourists have an opportunity to adjust the trip planning on the same day of travel, visit the intended scenic spots as much as possible, and the wall surfaces leave regrets in the process of travel; in the scenic spot, the journey planning system can well guide the tourists, avoid the tourists from being bound and piled in a certain recommended scenic spot and neglecting part of hot scenic spots which are forbidden due to the pre-measured passenger flow, guide the passenger flow more reasonably and adjust the carrying capacity of each scenic spot; in addition, based on more accurate current playing time, the total playing time of the scenic spot scheme can be calculated more reasonably, meanwhile, the operation load can be effectively reduced due to the great reduction of variables, and the calculation efficiency is improved.
Example 2:
on the basis of the embodiment 1, the demand information comprises an intended scenic spot, a starting place and a tour duration, the analysis module is used for matching the intended scenic spot, acquiring an unintended scenic spot adjacent to the intended scenic spot based on the intended scenic spot, calling historical play time of the intended scenic spot and the unintended scenic spot, obtaining a plurality of scenic spot schemes based on the tour duration and the historical play time, and obtaining expected play time corresponding to the scenic spot schemes, wherein the scenic spot schemes comprise at least one intended scenic spot; screening a main scenic spot scheme from the scenic spot schemes according to a first screening condition, taking the other scenic spot schemes as alternative scenic spot schemes, and sequencing the alternative scenic spot schemes according to a second screening condition; the first screening condition is that a scenic spot scheme with the largest number of the intended scenic spots is included as a main scenic spot scheme; the second screening condition is the number of intention scenic spots, the number of popular scenic spots, the number of gourmet scenic spots or the total amount of tickets in the scenic spots.
In some embodiments, the first filtering condition may include other conditions such as maximum catena, shortest distance between scenic spots, and the like, on the basis of including the maximum number of intended scenic spots.
Example 3:
on the basis of the above embodiment, the preset condition of the system is that the current play time of the alternative scenic spot scheme is less than the predicted play time of the alternative scenic spot scheme, or the current play time of the alternative scenic spot scheme is greater than the predicted play time of the alternative scenic spot scheme, and the current play time of the main scenic spot scheme is also greater than the predicted play time of the main scenic spot scheme.
In one or more embodiments, the current play time of the alternate scenic spot solution is no greater than 70-80% of its projected play time.
In some embodiments, when the current play time of the alternative scenic spot solution is greater than the expected play time of the alternative scenic spot solution and the current play time of the main scenic spot solution is also greater than the expected play time of the main scenic spot solution, the current play time of the pushed alternative scenic spot solution is no more than 60% of the current play time of the main scenic spot solution.
In one or more embodiments, the pushed alternate scenic spot scenarios are ordered by the number of included intended scenic spots.
In some embodiments, when the current playing time of the alternative scenic spot schemes is less than the predicted playing time of the alternative scenic spot schemes, the top N alternative scenic spot schemes sorted according to the second screening condition are pushed, wherein N is greater than or equal to 2.
In this embodiment, when the alternative scenic spot scheme is smaller than the expected playing time, the guest may receive the corresponding alternative scenic spot scheme as a reference, and determine whether it is necessary to abandon the currently executed main scenic spot scheme; when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme is larger than the corresponding predicted playing time, the situation that tourists are full in partial scenic spots in the scheme is explained, at the moment, the tourists can give up partial scenic spots in time according to the pushed alternative scheme, a new alternative scenic spot scheme is executed, missing of the intended scenic spots is avoided, meanwhile, macroscopic passenger flow drainage in tourist areas is facilitated, and the tourists are prevented from being piled in the partial scenic spots.
Example 4:
on the basis of the embodiment, the journey planning system further comprises at least one scenic spot passenger flow volume statistics platform, wherein the scenic spot passenger flow volume statistics platform is used for counting the real-time playing time of the corresponding scenic spot and sending the real-time playing time to the data statistics module; the scenic spot passenger flow volume counting platform is connected with a prop receiving and sending device arranged in the scenic spot, and the prop receiving and sending device is used for receiving and sending the props required by the scenic spot, counting the number of queuing people according to the receiving and sending volume of the props, calculating the real-time playing time of the corresponding scenic spot, and sending the real-time playing time to the scenic spot passenger flow volume counting platform.
In some embodiments, as shown in fig. 3 and 4, the property receiving and sending device includes a housing 1, a first opening 11 and a second opening 12 are arranged on the housing 1, an outbox 2 is arranged in the first opening 11, the outbox 2 is used for containing properties required by a scenic spot to be issued, weight information of the properties in the outbox 2 is collected, and the weight information is sent to a calculating unit, an inbox 3 is arranged in the second opening 12, the inbox 3 is used for containing the properties required by the scenic spot to be recovered, the number of the properties in the inbox 3 is collected, and the number information is sent to the calculating unit, and the calculating unit is used for calculating the number of people in line at the scenic spot based on the weight information and the number information; the outbox 2 can move into the interior of the shell 1 through the first opening 11 and is located below the inbox 3, the inbox 3 comprises a collecting state, a triggering state and an unloading state, the item contained in the inbox 3 drives the inbox 3 to switch between the collecting state and the triggering state, in the collecting state, the outbox 2 moving vertically downwards does not contact with the inbox 3 when passing through the inbox 3, in the triggering state, the outbox 2 moving vertically downwards contacts with the inbox 3 when passing through the inbox 3 and drives the inbox 3 to switch from the triggering state to the unloading state, and in the unloading state, the item in the inbox 3 moves into the outbox 2.
In some embodiments, the scenery spot prop may be any one of 3D glasses, goggles, a bracelet, a stamp, a commentary device, and a raincoat.
In one or more embodiments, the outbox is provided with a cavity for placing the prop, a first weighing sensor is arranged in the cavity, a weighing plate is arranged on the first weighing sensor, the first weighing sensor is used for collecting weight information of the prop on the weighing plate and sending the weight information to the calculating unit, and the calculating unit is used for counting weight information change values of the first weighing sensor in a certain period of time and calculating the sending and releasing amount of the prop.
When the system is used, the prop receiving and sending device advances along the queuing direction, during the advancing process, tourists obtain props needed to be used by corresponding scenic spots from the outbox, if no props exist in the scenic spots, a bracelet used for passing through the entrance gate can be issued, and after the props in the outbox are taken away, the outbox counts the prop issuing amount in a certain time period according to the weight information difference; if the tourist feels that the queuing time is too long and does not want to wait continuously, the props can be put into the receiving hopper and leave the queue, and the receiving hopper counts the quantity information of the put props. When the number of the props in the outbox is lower than a threshold value or the delivery amount is larger than the threshold value, the outbox is controlled to move vertically and downwards, if a certain amount of props exist in the inbox, the inbox is in a triggering state, the outbox can be driven to switch from the triggering state to an unloading state in the moving process, and finally the props in the inbox are moved to the outbox in the unloading state; after the unloading is finished, the outbox vertically moves upwards to the position near the first opening, and the receiving hopper returns to the unloading state or the collecting state under the condition that the external force is unloaded, and the prop is continuously collected.
In some embodiments, as shown in fig. 3 and 4, the prop transceiver is further provided with a running mechanism, in one or more embodiments, the running mechanism is a universal wheel arranged at the bottom of the casing, and in one embodiment, the running mechanism is driven by a motor to automatically run. In one or more embodiments, the running gear may be a slide block and can move along a slide rail matched with the slide block under the driving of a motor.
In some embodiments, as shown in fig. 3 and 4, a buckle plate is disposed at the edge of the outbox, the inbox comprises a fixed plate and a turnover plate, the bottom end of the fixed plate is hinged to the bottom end of the turnover plate, the fixed plate is fixedly mounted on the second opening, and the turnover plate is located inside the casing. The hinged position of the fixed plate and the turnover plate is provided with a torsion spring, and the side surface of the fixed plate and the side surface of the turnover plate can be connected through an elastic flexible connecting piece such as textile and leather, so that a bucket-shaped space is formed to store props. As shown in fig. 5 to 8, in the collecting state, as the number of the props in the receiving hopper increases, the stocked props gradually push the turning plate to turn towards the direction far away from the fixed plate and move to the triggering state; the outbox of vertical downward removal is when the addressee fill, buckle contact returning face plate to drive the returning face plate and further overturn to the direction of keeping away from the fixed plate, at this in-process, the expansion end of returning face plate and the effect point gradual change of buckle, the upper surface of final activity section and the bottom surface contact of buckle, the returning face plate expandes completely, the stage property between fixed plate and the returning face plate falls into to the cavity of outbox through the expansion end of returning face plate, buckle. The linkage design enables the outbox and the inbox not to be controlled by a precise control element, the buckle plate on the outbox drives the inbox to be switched from the triggering state to the unloading state in the process of moving the outbox downwards, unloading operation is finally completed, the control mode is simplified, and the production cost is remarkably reduced.
In some embodiments, as shown in fig. 4, a hydraulic cylinder is arranged in the housing, a mounting plate is mounted on a piston rod of the hydraulic cylinder, and the mounting plate is used for mounting the outbox which can move in the horizontal direction relative to the mounting plate; the bottom of the outbox is provided with a containing cavity, a baffle arranged on the mounting plate is arranged in the containing cavity, a spring is connected to the baffle, and one end of the spring is connected with the inner wall of the containing cavity. The design enables the buckle plate of the outbox to drive the turnover plate to turn over, the transverse component force applied to the outbox by the turnover plate can be removed along with the movement of the outbox towards the direction away from the inbox, the spring is compressed in the process, the spring enables the outbox to reset after the transverse component force is removed, and the reset buckle plate further firmly extrudes the upper surface of the movable end of the turnover plate to achieve the unloading state. The design avoids the reaction force applied by the turnover plate to the outbox or the pinch plate to lead to the tilting or blocking of the outbox, the state switching of the inbox is smoother, and the unloading state is more stable.
In some embodiments, as shown in fig. 4, a flow restriction plate is further disposed in the receiving hopper, and the flow restriction plate is used for preventing counting errors caused by the fact that too many props are put in at one time. In one or more embodiments, a second load cell is disposed on the restrictor plate and is electrically connected to the rotational drive mechanism of the restrictor plate. When the weight on the second weighing sensor is larger than the alarm threshold value, the second weighing sensor sends an alarm signal to the processor, and the processor gives an alarm to the alarm unit to inform visitors that the visitors should put into the props one by one. When the weight collected by the second weighing sensor is larger than the overturning threshold value and smaller than the alarming threshold value, the driving mechanism drives the flow limiting plate to rotate, and meanwhile, a counter in the receiving hopper counts. In one embodiment, the rotary driving mechanism can be a servo motor, the turning threshold is the weight of a single prop, and the alarm threshold is less than the weight of two props, so that the servo motor controls turning after the single prop is put in, counts when turning, and alarms after the two props are put in.
Example 5:
a big data-based travel planning method adopts the system of any one of the above embodiments, and the method comprises the following steps:
collecting input demand information;
generating a main scenic spot scheme and an alternative scenic spot scheme based on the demand information, calculating the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme, and pushing the main scenic spot scheme to the user side;
acquiring real-time playing time of each scenic spot through a scenic spot passenger flow volume counting platform of each scenic spot, and calculating the current playing time of a main scenic spot scheme and an alternative scenic spot scheme;
and comparing the predicted playing time with the current playing time, and pushing the alternative scenic region scheme to the user terminal when the current playing time of the alternative scenic region scheme is less than the predicted playing time of the alternative scenic region scheme, or the current playing time of the alternative scenic region scheme is greater than the predicted playing time of the alternative scenic region scheme and the current playing time of the main scenic region scheme is also greater than the predicted playing time of the main scenic region scheme.
As used herein, "first," "second," etc. (e.g., first opening, second opening, first load cell, second load cell, etc.) merely distinguish the respective components for clarity of description and are not intended to limit any order or to emphasize importance, etc. Further, the term "connected" used herein may be either directly connected or indirectly connected via other components without being particularly described.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A big data-based travel planning system comprises an information input module, an analysis module, a scheme output module and a data statistics module, and is characterized in that,
the information input module is used for acquiring input demand information;
the analysis module is used for generating a main scenic spot scheme and an alternative scenic spot scheme according to the demand information, calculating the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme, and sending the main scenic spot scheme to the scheme output module; calculating the current playing time of the main scenic spot scheme and the alternative scenic spot scheme according to the real-time playing time of each scenic spot acquired by the data statistics module, comparing the predicted playing time with the current playing time, and sending the alternative scenic spot scheme meeting preset conditions to the scheme output module when the current playing time of the main scenic spot scheme and the alternative scenic spot scheme meets the preset conditions;
the data statistics module is used for acquiring the real-time playing time of each scenic spot in the main scenic spot scheme and the alternative scenic spot scheme and sending the real-time playing time of each scenic spot to the analysis module;
and the scheme output module is used for receiving and outputting the generated main scenic spot scheme or the alternative scenic spot scheme meeting the preset conditions.
2. The big data-based trip planning system according to claim 1, wherein the demand information comprises an intended scenic spot, a starting place and a tour duration, the analysis module matches the intended scenic spot, acquires an unintended scenic spot adjacent to the intended scenic spot based on the intended scenic spot, recalls historical play time of the intended scenic spot and the unintended scenic spot, obtains a plurality of scenic spot plans based on the tour duration and the historical play time, and projected play time corresponding to the scenic spot plans, the scenic spot plans comprising at least one intended scenic spot; and screening a main scenic spot scheme from the scenic spot schemes according to the first screening condition, taking the other scenic spot schemes as alternative scenic spot schemes, and sequencing the alternative scenic spot schemes according to the second screening condition.
3. The big-data-based itinerary planning system according to claim 2, wherein the first filtering condition is to include a scenario with the largest number of intended scenarios as the main scenario.
4. The big-data based itinerary planning system of claim 2, wherein the second filtering condition is the number of intended scenic spots, the number of popular scenic spots, the number of gourmet scenic spots or the total amount of tickets for scenic spots.
5. The big data-based trip planning system according to claim 1, wherein the preset conditions are that the current play time of the alternative scenic spot solution is less than the predicted play time of the alternative scenic spot solution, or that the current play time of the alternative scenic spot solution is greater than the predicted play time of the alternative scenic spot solution, and the current play time of the main scenic spot solution is also greater than the predicted play time of the main scenic spot solution.
6. The big data-based itinerary planning system of claim 5, wherein when the current play time of the alternative scenic spot solution is greater than the predicted play time of the alternative scenic spot solution and the current play time of the main scenic spot solution is also greater than the predicted play time of the main scenic spot solution, the current play time of the pushed alternative scenic spot solution is not more than 60% of the current play time of the main scenic spot solution.
7. The big-data-based itinerary planning system of claim 5, wherein when the current playing time of the alternative scenic spot solution is less than the predicted playing time of the alternative scenic spot solution, the top N alternative scenic spot solutions sorted according to the second filtering condition are pushed, N ≧ 2.
8. The big data-based journey planning system according to claim 1, further comprising a scenic spot passenger flow volume statistics platform for counting real-time playing time of a corresponding scenic spot and sending the real-time playing time to the data statistics module; the scenic spot passenger flow volume counting platform is connected with a prop receiving and sending device arranged in the scenic spot, and the prop receiving and sending device is used for receiving and sending the props required by the scenic spot, counting the number of queuing people according to the receiving and sending volume of the props, calculating the real-time playing time of the corresponding scenic spot, and sending the real-time playing time to the scenic spot passenger flow volume counting platform.
9. The big data-based journey planning system according to claim 8, wherein the item transceiver comprises a housing (1), the housing (1) is provided with a first opening (11) and a second opening (12), an outbox (2) is arranged in the first opening (11), the outbox (2) is used for containing items required by scenic spots to be issued, collecting weight information of the items in the outbox (2) and sending the weight information to a computing unit, an inbox (3) is arranged in the second opening (12), the inbox (3) is used for containing recovered items required by scenic spots, collecting the number of the items in the inbox (3) and sending the number information to the computing unit, and the computing unit is used for computing the number of queuing people of the scenic spots based on the weight information and the number information; the outbox (2) can move into the shell (1) through the first opening (11) and be located below the inbox (3), the inbox (3) comprises a collecting state, a triggering state and an unloading state, props held in the inbox (3) drive the inbox (3) to switch between the collecting state and the triggering state, the outbox (2) moving vertically downwards does not contact with the inbox (3) when passing through the inbox (3) in the collecting state, the outbox (2) moving vertically downwards contacts with the inbox (3) when passing through the inbox (3) in the triggering state and drives the inbox (3) to switch from the triggering state to the unloading state, and the props in the inbox (3) move into the outbox (2) in the unloading state.
10. A big data based journey planning method, wherein the system of any claim 1-9 is adopted, the method comprises the following steps:
collecting input demand information;
generating a main scenic spot scheme and an alternative scenic spot scheme based on the demand information, calculating the predicted playing time of the main scenic spot scheme and the alternative scenic spot scheme, and pushing the main scenic spot scheme to the user side;
acquiring real-time playing time of each scenic spot through a scenic spot passenger flow volume counting platform of each scenic spot, and calculating the current playing time of a main scenic spot scheme and an alternative scenic spot scheme;
and comparing the predicted playing time with the current playing time, and pushing the alternative scenic region scheme to the user terminal when the current playing time of the alternative scenic region scheme is less than the predicted playing time of the alternative scenic region scheme, or the current playing time of the alternative scenic region scheme is greater than the predicted playing time of the alternative scenic region scheme and the current playing time of the main scenic region scheme is also greater than the predicted playing time of the main scenic region scheme.
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