An intelligent tourism management system and method

Abstract

The present invention discloses an intelligent tourism management system and method, belonging to the technical field of tourism management. The method includes: docking tourism channels of each scenic area, collecting real-time data through each tourism channel to obtain channel information corresponding to each tourism channel, sorting out the channel information according to the corresponding scenic areas to obtain the dynamic information of each scenic area; generating a scenic area simulation model for each scenic area according to the dynamic information of each scenic area; identifying the tourism needs of users, determining the requirements of each scenic area, tourist attractions and weight coefficients, and displaying the scenic area requirements, tourist attractions and weight coefficients to the users, and the users adjust the scenic area requirements, tourist attractions and weight coefficients according to their needs; determining the target scenic area according to the requirements of each scenic area, tourist attractions and weight coefficients; displaying the scenic area simulation model of the target scenic area to the users in real time; obtaining the tourism plan of the users and conducting supervision and management according to the tourism plan.

Description

Technical Field

[0001] The present invention belongs to the technical field of tourism management, and specifically relates to a smart tourism management system and method. Background Art

[0002] With the rapid development of information technology and the improvement of people's living standards, the tourism industry is undergoing unprecedented changes. At present, most tourism management systems on the market focus on the integration and management of tourism resources, such as hotel reservations, flight ticket purchases, scenic spot ticket sales, etc. These systems have improved the operational efficiency of the tourism industry to a certain extent, but often ignore the personalized needs and experiences of tourists; for example, many current tourists travel during holidays, but when they arrive at the scenic spots, there are often too many people, which extremely affects the tourists' travel experience and also brings a burden to the scenic spot management. With the continuous maturity of the tourism market and the upgrading of tourists' consumption concepts, the demand for tourism services by tourists is also constantly changing. They are no longer satisfied with simple scenic spot tours and accommodation arrangements, but pay more attention to the sense of experience and interactivity during the travel process. Therefore, from the perspective of tourists, it is particularly important to design and develop a tourism management system that can provide personalized, convenient and intelligent services.

[0003] Based on this, in order to improve the travel experience of tourists, the present invention provides a smart tourism management system and method. Summary of the Invention

[0004] In order to solve the problems existing in the above solutions, the present invention provides a smart tourism management system and method.

[0005] The object of the present invention can be achieved by the following technical solutions:

[0006] A smart tourism management system includes a channel module, a user demand module, and a tourism management module;

[0007] The channel module is used to connect to the tourism channels of each scenic spot, collect real-time data through each tourism channel, obtain the channel information corresponding to each tourism channel, and sort out the channel information according to the corresponding scenic spots to obtain the scenic spot dynamic information of each scenic spot;

[0008] Generate a scenic spot model according to the scenic spot dynamic information of each scenic spot; and perform dynamic real-scene simulation on the scenic spot model through the scenic spot dynamic information to form a scenic spot simulation model of each scenic spot, and the scenic spot simulation model is used to dynamically simulate the real scene of the scenic spot for users.

[0009] Furthermore, set up an online tourism model according to the scenic spot model, and the online tourism model is used for users to conduct online tourism of the scenic spot.

[0010] Further, a method for simulating a real - world scene of a scenic - area model based on dynamic information of the scenic area includes:

[0011] Identify the passenger flow data and additional adjustment data in the dynamic information of the scenic area, where the additional adjustment data includes traffic data, accommodation data, and weather data; supplement dynamic information and adjust the scene of the scenic - area model according to the additional adjustment data;

[0012] Identify each scenic spot in the scenic - area model, and mark each scenic spot correspondingly in the scenic - area model;

[0013] Classify tourists according to the passenger flow data to form each personnel classification;

[0014] Evaluate and simulate each scenic spot according to each personnel classification and the number of personnel to obtain the landscape influence value and landscape personnel information corresponding to each scenic spot; supplement the corresponding personnel model at each scenic spot in the scenic - area model according to the landscape personnel information of each scenic spot, dynamically update each landscape influence value at each scenic spot in the scenic - area model; mark the scenic - area model as a scenic - area simulation model.

[0015] Further, a method for identifying each scenic spot in the scenic - area model includes:

[0016] Establish a scenic - spot evaluation model, and the expression of the scenic - spot evaluation model is:

[0017]

[0018] In the formula: s is the input data, and the input data is the regional information of the corresponding area in the scenic - area model; the output data is the landscape judgment value GP(s); the landscape judgment value is 1 or 2;

[0019] Analyze each area in the scenic - area model through the scenic - spot evaluation model to obtain the landscape judgment value corresponding to each area; set the area with the landscape judgment value of 1 as a scenic spot.

[0020] Further, a method for classifying tourists according to the passenger flow data includes:

[0021] Identify the tourist attributes of each tourist in the passenger flow data; obtain the historical browsing records of each scenic spot, and determine the attraction value of each scenic spot for the tourists entering the scenic area at the corresponding time according to each historical browsing record; sort each scenic spot in descending order of the attraction value to obtain an attraction list;

[0022] Set the accommodation capacity of each scenic spot, set an accommodation expansion formula; real - time identify the number of tourists distributed at each scenic spot, and mark it as the landscape tourist number;

[0023] Determine the allocated scenic spots for the tourists entering the scenic area at the corresponding time according to the attraction list, the number of landscape tourists at each scenic spot, the capacity and the capacity expansion formula, and distribute the tourists to the allocated scenic spots; and so on, distribute the tourists entering the scenic area in real time, and classify each tourist distributed at each scenic spot into one category, marked as personnel classification.

[0024] Further, the value range of the attraction value is [0, 100].

[0025] Further, the capacity expansion formula is:

[0026] In the formula: RK is the capacity expansion amount; RT is the capacity of the corresponding scenic spot; XL1 and XL2 are two adjacent attraction values in the attraction list, and XL1≥XL2.

[0027] Further, the method for evaluating each scenic spot according to each personnel classification and the number of personnel includes:

[0028] Identify the personnel classification corresponding to each scenic spot, identify the number of tourists corresponding to the personnel classification, and set the landscape personnel information according to the number of tourists and the personnel classification;

[0029] Set an experience matching table, which is used to count the experience values corresponding to each landscape personnel information;

[0030] Match the corresponding experience value from the experience matching table according to the landscape personnel information; determine the landscape impact value of the scenic spot according to the experience value.

[0031] The user demand module is used for the user to input corresponding tourism demands, identify the tourism demands, determine each scenic area requirement, tourism scenic spot and weight coefficient, display the scenic area requirement, tourism scenic spot and weight coefficient to the user, and the user adjusts the scenic area requirement, tourism scenic spot and weight coefficient according to needs, and sends the adjusted scenic area requirement, tourism scenic spot and weight coefficient to the tourism management module.

[0032] The tourism management module is used for the user to conduct tourism management, identify each scenic area requirement, tourism scenic spot and weight coefficient, determine the target scenic area according to each scenic area requirement, tourism scenic spot and weight coefficient; display the scenic area simulation model of the target scenic area to the user in real time; obtain the user's tourism plan, and conduct supervision and processing according to the tourism plan.

[0033] Further, the method for determining the target scenic area according to each tourism restriction condition includes:

[0034] Match each scenic area according to each tourism restriction condition, determine each scenic area that meets each tourism restriction condition, marked as the candidate scenic area; obtain the scenic area simulation model of each candidate scenic area;

[0035] Identify each scenic view point in the scenic area simulation model and the corresponding landscape impact value of each scenic view point, conduct a tourism evaluation based on the landscape impact value, tourism scenic view point and weight coefficient of each scenic view point, and obtain the tourism value of each candidate scenic area; sort each candidate scenic area in descending order of tourism value to obtain a tourism sequence, and supplement the scenic area simulation model corresponding to each candidate scenic area in the tourism sequence; display the tourism sequence to the user, and the user determines the target scenic area.

[0036] Furthermore, the calculation method of the tourism value includes:

[0037] Identify the landscape impact value of each tourism scenic view point, mark the tourism scenic view point as i, i = 1, 2,..., n, and n is a positive integer;

[0038] According to the formula Calculate the tourism value of each candidate scenic area;

[0039] In the formula: LQ is the tourism value; λi is the weight coefficient of the corresponding tourism scenic view point; YQi is the landscape impact value of the corresponding tourism scenic view point.

[0040] A smart tourism management method, the method includes:

[0041] Connect the tourism channels of each scenic area, collect real-time data through each tourism channel, obtain the channel information corresponding to each tourism channel, and sort the channel information according to the corresponding scenic area to obtain the scenic area dynamic information of each scenic area;

[0042] Generate a scenic area model according to the scenic area dynamic information of each scenic area; and conduct a dynamic real-scene simulation of the scenic area model through the scenic area dynamic information to form a scenic area simulation model of each scenic area;

[0043] Identify the tourism needs of users, determine the requirements for each scenic area, tourism scenic view points and weight coefficients, display the requirements for scenic areas, tourism scenic view points and weight coefficients to the user, and the user adjusts the requirements for scenic areas, tourism scenic view points and weight coefficients according to needs;

[0044] Determine the target scenic area according to the requirements for each scenic area, tourism scenic view points and weight coefficients; display the scenic area simulation model of the target scenic area to the user in real time; obtain the tourism plan of the user, and conduct supervision and management according to the tourism plan.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] Through the mutual cooperation among the channel module, the user demand module, and the tourism management module, a tourism management system from the perspective of tourists is realized. Compared with the prior art, it has significant beneficial effects. By introducing advanced data processing and analysis technologies, the real-time update and intelligent push of tourism information are achieved. This function not only solves the problem of untimely information push in the existing system but also greatly improves the information acquisition efficiency of tourists during the travel process. Tourists can obtain the latest key information such as weather, traffic, and scenic spot opening hours at any time and place, so as to make more informed travel decisions. At the same time, the scenic area simulation model visually displays the scenic area situation to users, facilitating users to manage tourism. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0048] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The following will clearly and completely describe the technical solutions of the present invention in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0050] As Figure 1 shown, a smart tourism management system includes a channel module, a user demand module, and a tourism management module;

[0051] The said channel module is used to interface with various tourism channels to obtain real-time scenic area dynamic information of each scenic area, such as ticket prices, prices of surrounding hotels, prices of surrounding snacks, scenic area images, pedestrian flow, weather, traffic and other information that tourists are concerned about; real-time data collection is carried out through each tourism channel to obtain the channel information corresponding to each tourism channel, the channel information is sorted according to the corresponding scenic area to obtain the scenic area dynamic information of each scenic area, and a scenic area model is generated based on the scenic area dynamic information, including corresponding surrounding tourism-related areas, such as hotels, snack streets, etc.; the scenic area model is a data model established based on existing visualization technologies, that is, the scenic area is scaled according to a corresponding ratio. With the rise of online tourism and the development of corresponding technologies, a scenic area model can be generated by combining corresponding technologies, or an online tourism function can be set, that is, an online tourism model is formed by combining the scenic area model and technologies such as virtual reality. Subsequently, users can conduct online tourism through VR devices, etc.

[0052] Perform real-scene simulation on the scenic area model according to the scenic area dynamic information to form a scenic area simulation model; the scenic area simulation model is used to dynamically simulate the real scene of the scenic area for users, such as pedestrian flow, weather, parking and other related information.

[0053] In one embodiment, the method of performing real-scene simulation on the scenic area model according to the scenic area dynamic information is: perform simulation and supplementation based on existing technologies to form a scenic area simulation model.

[0054] In one embodiment, the method of performing real-scene simulation on the scenic area model according to the scenic area dynamic information includes:

[0055] Identify relevant data such as pedestrian flow data, weather data, traffic data, accommodation data, etc. in the scenic area dynamic information. The pedestrian flow data includes relevant data such as pedestrian flow and the composition of people of different ages and genders; unify non-pedestrian flow data such as weather data, traffic data, accommodation data, etc. as additional adjustment data; perform dynamic information supplementation and scene adjustment on the scenic area model according to the additional adjustment data, such as adjusting the scene according to the weather, and performing corresponding data supplementation according to traffic data, accommodation data, etc., indicating the parking, accommodation, etc. inside and outside the scenic area. Specifically, it is supplemented according to the supplementation method of the additional adjustment data by the platform party, such as supplementing corresponding vehicle models;

[0056] Identify each scenic spot in the scenic area model. The scenic spot is the location that tourists will browse through, such as locations of cable cars, snack streets, main halls, arch bridges, playgrounds, etc., that is, split the areas in the scenic area that attract tourists. Specifically, various scenic spots can be determined according to the historical records of tourists, and subsequent matching or judgment can be used to identify each scenic spot in the scenic area; mark each scenic spot in the scenic area model accordingly;

[0057] Classify tourists according to the pedestrian flow data to form each personnel classification;

[0058] Evaluate and simulate each scenic view point according to the classification of each person and the number of people to obtain the landscape impact value and landscape personnel information corresponding to each scenic view point; supplement the corresponding personnel model at each scenic view point in the scenic area model according to the landscape personnel information of each scenic view point, and dynamically update each landscape impact value at each scenic view point in the scenic area model;

[0059] Mark the current scenic area model as the scenic area simulation model.

[0060] In one embodiment, the method for identifying each scenic view point in the scenic area model includes:

[0061] Establish a scenic view point evaluation model. The scenic view point evaluation model judges whether each area in the scenic area model meets the requirements of the scenic view point. The expression of the scenic view point evaluation model is In the formula: s is the input data, and the input data is the area information of the corresponding area in the scenic area model. The area information includes relevant data such as its use and name; the output data is the landscape judgment value GP(s); the landscape judgment value is 1 or 2;

[0062] Analyze each area in the scenic area model through the scenic view point evaluation model to obtain the landscape judgment value corresponding to each area; set the area with the landscape judgment value of 1 as the scenic view point.

[0063] In one embodiment, the method for classifying tourists according to the passenger flow data is to classify based on the existing technology, establish a corresponding intelligent model based on the existing neural network, and distribute each tourist to each scenic view point through the intelligent model to identify a personnel classification corresponding to each scenic view point.

[0064] In one embodiment, the method for classifying tourists according to the passenger flow data includes:

[0065] Extract the attributes of each tourist corresponding to the passenger flow data according to gender, age, etc. to obtain the attributes of each tourist;

[0066] Obtain the historical browsing records of each scenic view point, determine the attraction value of each scenic view point for tourists with corresponding tourist attributes according to each historical browsing record, and determine it according to the proportion of the browsing times of tourists with this tourist attribute at each scenic view point. The value range of the attraction value is [0, 100]. The attraction value with a proportion of 0 is 0, and the attraction value with a proportion of 100% is 100. It is also possible to determine the attraction value of each scenic view point for each tourist attribute in other ways; sort each scenic view point in descending order of the attraction value to obtain an attraction list; the attraction list is used to count the attraction ranking of each scenic view point and the corresponding attraction value;

[0067] Set the capacity of each scenic view point. The capacity is the number of tourists that can be accommodated for playing. Queuing for a long time is required if the capacity is exceeded, and it is specifically set manually, generally by the scenic area management staff;

[0068] Set the capacity expansion formula: In other embodiments, the capacity expansion formula can also be other formulas, which are specifically set according to requirements.

[0069] In the formula: RK is the capacity expansion amount; RT is the capacity of the corresponding scenic view point; XL1 and XL2 are two adjacent attraction values in the attraction list, and XL1≥XL2;

[0070] For example, for two scenic view points A and B in the order of the attraction list, A is in front of B and adjacent. According to the capacity expansion formula and the attraction value between A and B, it can be determined that the tourist data when A reaches the capacity expansion amount will enter B, rather than reaching the capacity of A and then going to B respectively;

[0071] Real-time identify the number of tourists distributed at each scenic view point, marked as the number of scenic view tourists; determine the allocated scenic view points for the tourists entering the scenic area at the corresponding time according to the attraction list, the number of scenic view tourists at each scenic view point, the capacity, and the capacity expansion formula, and distribute the corresponding tourists to the corresponding allocated scenic view points; that is, determine in turn whether the number of scenic view tourists with the highest priority in the attraction list reaches the capacity expansion amount according to the number of scenic view tourists, the capacity, and the capacity expansion formula at each scenic view point. If not, mark it as the allocated scenic view point. If it reaches, analyze the scenic view point with the next ranking until the distribution is completed. If all are not lower than the corresponding capacity expansion amount, distribute them in turn according to the priority of each scenic view point;

[0072] And so on, to achieve the distribution of the tourists entering the scenic area at each time;

[0073] Classify each tourist distributed at each scenic view point into one category, marked as personnel classification.

[0074] In one embodiment, the method for evaluating each scenic view point according to each personnel classification and the number of personnel includes:

[0075] Identify the personnel classification corresponding to each scenic view point, identify the number of tourists corresponding to the personnel classification, and set the landscape personnel information according to the number of tourists and the personnel classification, that is, including relevant information such as the number of tourists and the personnel composition;

[0076] Analyze the historical play evaluation data of each scenic view point to obtain the play experience of different numbers of tourists and personnel compositions under corresponding weather conditions for this scenic view point. The experience situation is represented in a hundred-mark system and can be determined in combination with the corresponding scores, forming an experience value corresponding to different landscape personnel information, and integrating and establishing an experience matching table for each scenic view point; or the platform can directly set the experience matching table through professional personnel.

[0077] Match the corresponding experience value from the experience matching table according to the landscape personnel information and weather conditions; determine the landscape influence value according to the obtained experience value; specifically, it can be 100 - experience value, or a function graph can be formed first according to the landscape influence value = 100 - experience value, and the function graph is adjusted, mainly by adjusting the slope, which is specifically determined according to requirements.

[0078] The user demand module is used for the user to input corresponding travel demands, which can be a specific scenic area or a general travel intention requirement, such as requirements for the seaside, food, one week, ancient city, bungee jumping, roller coaster, etc., and supports input methods such as text input and language input; identify the user's travel demands, determine the scenic area requirements and each scenic view point that needs to be available and the weight coefficients of each scenic view point, and conduct identification and analysis based on existing data recognition technologies; display the scenic area requirements, scenic view points, and weight coefficients to the user, and the user adjusts the scenic area requirements, scenic view points, and weight coefficients according to needs, and sends the adjusted scenic area requirements, scenic view points, and weight coefficients to the travel management module.

[0079] The travel management module is used for the user to conduct travel management, identify each scenic area requirement, scenic view point, and weight coefficient, and determine the target scenic area according to each scenic area requirement, scenic view point, and weight coefficient; display the scenic area simulation model corresponding to the target scenic area to the user in real time;

[0080] The user sets a travel plan according to their own management needs and inputs the travel plan into the travel management module. The travel management module conducts supervision and processing according to the travel plan, and then conducts early warning monitoring on the progress and attention content according to the corresponding travel plan, and conducts management according to the preset management measures. Specifically, it is supervised through the travel plan, and is carried out according to the supervision methods preset by the platform. If there are detailed supervision methods in the travel plan, the supervision is carried out according to the corresponding supervision methods.

[0081] In one embodiment, the method for determining the target scenic area includes:

[0082] Match each scenic area according to the scenic area requirements, determine each scenic area that meets the scenic area requirements, mark it as a candidate scenic area, and conduct a matching judgment according to the actual conditions of each scenic area; obtain the scenic area simulation model of each candidate scenic area.

[0083] Identify each scenic spot in the scenic area simulation model and the corresponding landscape impact value of each scenic spot. Conduct a tourism assessment based on the landscape impact value, tourism scenic spot, and weight coefficient of each scenic spot to obtain the tourism value of each candidate scenic area. Sort the candidate scenic areas in descending order of tourism value to obtain a tourism sequence, and supplement the corresponding scenic area simulation model for each candidate scenic area in the tourism sequence. Display the tourism sequence to the user, and the user determines the target scenic area.

[0084] In one embodiment, a tourism assessment is conducted according to the landscape impact value, tourism scenic spot, and weight coefficient of each scenic spot, that is, to evaluate the satisfaction of the current candidate scenic area with the user according to the landscape impact value, tourism scenic spot, and weight coefficient. The tourism value for full satisfaction is 100, and the tourism value for full dissatisfaction is 0. Specifically:

[0085] Mark the tourism scenic spots as i, where i = 1, 2,..., n, and n is a positive integer. Identify the landscape impact value of each tourism scenic spot. If the tourism scenic spot does not exist in the scenic area, the landscape impact value is the maximum value, such as 100.

[0086] According to the formula Calculate the tourism value of the corresponding candidate scenic area.

[0087] In the formula: LQ is the tourism value; λi is the weight coefficient of the corresponding tourism scenic spot; YQi is the landscape impact value of the corresponding tourism scenic spot.

[0088] A smart tourism management method, the method includes:

[0089] Connect to the tourism channels of each scenic area, collect real-time data through each tourism channel, obtain the channel information corresponding to each tourism channel, and organize the channel information according to the corresponding scenic area to obtain the dynamic information of each scenic area.

[0090] Generate a scenic area model according to the dynamic information of each scenic area. Identify the pedestrian flow data and additional adjustment data in the dynamic information of the scenic area. The additional adjustment data includes traffic data, accommodation data, and weather data. Supplement the dynamic information and adjust the scene of the scenic area model according to the additional adjustment data.

[0091] Identify each scenic spot in the scenic area model, and make corresponding marks for each scenic spot in the scenic area model.

[0092] Classify tourists according to the pedestrian flow data to form each personnel classification.

[0093] Evaluate and simulate each scenic view point according to the classification and quantity of each personnel to obtain the landscape impact value and landscape personnel information corresponding to each scenic view point; supplement the corresponding personnel models at each scenic view point in the scenic area model according to the landscape personnel information of each scenic view point, and dynamically update each landscape impact value at each scenic view point in the scenic area model; mark the scenic area model as the scenic area simulation model.

[0094] The user inputs corresponding tourism demands, identifies the tourism demands, determines the requirements of each scenic area, tourism scenic view points and weight coefficients, displays the requirements of each scenic area, tourism scenic view points and weight coefficients to the user, and the user adjusts the requirements of each scenic area, tourism scenic view points and weight coefficients according to needs.

[0095] Determine the target scenic area according to the requirements of each scenic area, tourism scenic view points and weight coefficients; display the scenic area simulation model of the target scenic area to the user in real time; obtain the user's tourism plan and conduct supervision and management according to the tourism plan.

[0096] The above formulas are all calculated by removing the dimension and taking their numerical values. The formula is a formula obtained by collecting a large amount of data for software simulation to be closest to the real situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0097] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusively, so that a process, device, article or method including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, device, article or method. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, device, article or method including that element.

[0098] The above is only the preferred embodiment of the present invention, and does not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be included in the patent protection scope of the present invention by the same token.

[0099] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claimed invention.

[0100] For convenience of description, the above device is described by dividing it into respective units according to functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware. Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0101] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can also be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, so that the instructions executed by the processors of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0102] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one flow or multiple blocks.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide for implementing the functions in the flowFigure 1 one or more processes and / or blocks Figure 1 steps of the functions specified in one or more blocks.

Claims

1. A smart tourism management system, characterized in that: Including channel module, user demand module and tourism management module; The channel module is used to connect to the tourism channels of each scenic spot, collect real-time data through each tourism channel, obtain channel information corresponding to each tourism channel, sort the channel information according to the corresponding scenic spot, and obtain the scenic spot dynamic information of each scenic spot; Generate a scenic spot model according to the dynamic information of each scenic spot; and perform dynamic real scene simulation on the scenic spot model through the dynamic information of the scenic spot to form a scenic spot simulation model of each scenic spot, wherein the scenic spot simulation model is used to dynamically simulate the real scene of the scenic spot for the user; The user demand module is used for the user to input the corresponding travel demand, identify the travel demand, determine the requirements of each scenic spot, tourist attractions and weight coefficients, and display the scenic spot requirements, tourist attractions and weight coefficients to the user. The user adjusts the scenic spot requirements, tourist attractions and weight coefficients as needed, and sends the adjusted scenic spot requirements, tourist attractions and weight coefficients to the travel management module; The tourism management module is used for users to manage tourism, identify the requirements of each scenic spot, tourist attractions and weight coefficients, determine the target scenic spot according to the requirements of each scenic spot, tourist attractions and weight coefficients; and display the scenic spot simulation model of the target scenic spot to the user in real time; Obtaining the user's travel plan and conducting supervision and processing according to the travel plan; The method of simulating a real scene of a scenic spot model according to the dynamic information of the scenic spot includes: Identify the passenger flow data and additional adjustment data in the scenic spot dynamic information, wherein the additional adjustment data includes traffic data, accommodation data and weather data; and perform dynamic information supplement and scene adjustment on the scenic spot model according to the additional adjustment data; Identify each scenic spot in the scenic area model, and mark each scenic spot accordingly in the scenic area model; Classify tourists according to the passenger flow data to form various personnel classifications; According to the classification and number of personnel, each of the scenic spots is evaluated and simulated to obtain the landscape impact value and landscape personnel information corresponding to each of the scenic spots; according to the landscape personnel information of each of the scenic spots, a corresponding personnel model is supplemented at each of the scenic spots in the scenic area model, and each of the landscape impact values ​​is dynamically updated at each of the scenic spots in the scenic area model; and the scenic area model is marked as a scenic area simulation model; Methods for classifying tourists based on foot traffic data include: Identify the tourist attributes of each tourist in the traffic data; obtain the historical browsing records of each of the scenic spots, and determine the attraction value of each scenic spot to the tourists entering the scenic spot at the corresponding time according to each of the historical browsing records; sort the scenic spots in descending order according to the attraction value to obtain an attraction list; Setting the capacity of each of the scenic spots and setting the capacity expansion formula; identifying the number of tourists distributed at each scenic spot in real time and marking it as the number of scenic spot tourists; According to the attraction list, the number of scenic tourists at each scenic spot, the capacity and the capacity expansion formula, the allocated scenic spots for tourists entering the scenic spot at the corresponding time are determined, and the tourists are distributed to the allocated scenic spots; by analogy, the tourists entering the scenic spot are distributed in real time, and the tourists distributed at each scenic spot are classified into a category, which is marked as a personnel classification; The attraction value range is [0, 100], and the accommodation expansion formula is: Where: RK is the capacity for expansion; RT is the capacity of the corresponding scenic spot; XL1 and XL2 are two adjacent attraction values ​​in the attraction list, XL1≥XL2.

2. A smart tourism management system according to claim 1, characterized in that: An online travel model is set according to the scenic spot model, and the online travel model is used for users to travel online to the scenic spot.

3. A smart tourism management system according to claim 1, characterized in that: Methods for identifying scenic spots in the scenic area model include: A landscape point evaluation model is established, and the expression of the landscape point evaluation model is: Where: s is the input data, which is the regional information of the corresponding area in the scenic area model; the output data is the landscape judgment value GP(s); the landscape judgment value is 1 or 2; Each area in the scenic area model is analyzed by the landscape point evaluation model to obtain a landscape judgment value corresponding to each area; and the area with a landscape judgment value of 1 is set as a landscape point.

4. A smart tourism management system according to claim 1, characterized in that: Methods for evaluating each scenic spot based on personnel classification and number of personnel include: Identify the personnel classification corresponding to each of the scenic spots, identify the number of tourists corresponding to the personnel classification, and set the scenic personnel information according to the number of tourists and the personnel classification; Setting an experience matching table, wherein the experience matching table is used to count the experience values ​​corresponding to the information of each landscape personnel; According to the landscape personnel information, a corresponding experience value is matched from the experience matching table; and according to the experience value, a landscape impact value of the landscape point is determined.

5. The smart tourism management system according to claim 1, characterized in that: Methods for determining target scenic spots based on various tourism restrictions include: Matching each scenic spot according to each tourism restriction condition, determining each scenic spot that meets each tourism restriction condition, and marking them as a scenic spot to be selected; obtaining a scenic spot simulation model of each of the scenic spots to be selected; Identify each scenic spot in the scenic spot simulation model and the landscape impact value corresponding to each scenic spot, perform tourism evaluation according to the landscape impact value of each scenic spot, the tourist scenic spot and the weight coefficient, and obtain the tourism value of each of the candidate scenic spots; sort the candidate scenic spots in descending order according to the tourism value to obtain a tourism sequence, and supplement the scenic spot simulation model corresponding to each candidate scenic spot in the tourism sequence; display the tourism sequence to the user, and the user determines the target scenic spot.

6. A smart tourism management system according to claim 5, characterized in that: The calculation method of tourism value includes: Identify the landscape impact value of each tourist attraction, and mark the tourist attraction as i, where i=1, 2, ..., n, and n is a positive integer; According to the formula Calculate the tourism value of each selected scenic spot; Where: LQ is the tourism value; λi is the weight coefficient of the corresponding tourist attraction; YQi is the landscape impact value of the corresponding tourist attraction.

7. A smart tourism management method, characterized in that: A smart tourism management system according to any one of claims 1 to 6, the method comprising: Connect with the tourism channels of each scenic spot, collect real-time data through each tourism channel, obtain the channel information corresponding to each tourism channel, sort the information of each channel according to the corresponding scenic spot, and obtain the dynamic information of each scenic spot; Generate a scenic spot model according to the dynamic information of each scenic spot; and simulate the dynamic real scene of the scenic spot model through the dynamic information of the scenic spot to form a scenic spot simulation model of each scenic spot; Identify the user's travel needs, determine the requirements of each scenic spot, tourist attractions and weight coefficients, and display the requirements of the scenic spot, tourist attractions and weight coefficients to the user. The user adjusts the requirements of the scenic spot, tourist attractions and weight coefficients as needed; Determine the target scenic spot according to the requirements of each scenic spot, tourist attractions and weight coefficients; display the scenic spot simulation model of the target scenic spot to the user in real time; obtain the user's travel plan and conduct supervision and processing based on the travel plan.

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