Smart tourism management system and method

Abstract

The invention discloses a smart tourism management system and method, and belongs to the technical field of tourism management, and the method comprises the steps: carrying out the butt joint of tourism channels of all scenic spots, carrying out the real-time data collection through all tourism channels, obtaining the channel information corresponding to all tourism channels, carrying out the arrangement of all channel information according to the corresponding scenic spots, and carrying out the collection of all channel information. Obtaining scenic spot dynamic information of each scenic spot; generating a scenic spot simulation model of each scenic spot according to the dynamic information of each scenic spot; the tourism demand of the user is identified, the scenic spot requirements, the tourism landscape points and the weight coefficients are determined, the scenic spot requirements, the tourism landscape points and the weight coefficients are displayed to the user, and the user adjusts the scenic spot requirements, the tourism landscape points and the weight coefficients according to needs; determining a target scenic spot according to the requirements of each scenic spot, the tourism landscape points and the weight coefficients; displaying the scenic spot simulation model of the target scenic spot to the user in real time; and obtaining a tourism plan of the user, and performing supervision processing 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, air ticket purchases, and scenic spot ticket sales. 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 tourists currently travel during holidays, but when they arrive at scenic spots, there is often too much traffic, which greatly affects the tourists' travel experience and also brings a burden to the management of scenic spots. With the continuous maturity of the tourism market and the upgrading of tourists' consumption concepts, tourists' demand for tourism services is also changing. They are no longer satisfied with simple scenic spot tours and accommodation arrangements, but pay more attention to the 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 tourists' travel experience, 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-mentioned solutions, the present invention provides a smart tourism management system and method.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A smart tourism management system, including 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 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;

[0008] Generate a scenic spot model according to the dynamic information of each scenic spot; and dynamically simulate the 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, and the scenic spot simulation model is used to dynamically simulate the real scene of the scenic spot to the user.

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

[0010] Furthermore, the method of simulating a real scene of a scenic spot model according to the dynamic information of the scenic spot includes:

[0011] 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;

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

[0013] Classify tourists according to the passenger flow data to form various personnel classifications;

[0014] 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 scenic spot; according to the landscape personnel information of each scenic spot, the corresponding personnel model is supplemented at each scenic spot in the scenic area model, and the landscape impact value is dynamically updated at each scenic spot in the scenic area model; the scenic area model is marked as a scenic area simulation model.

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

[0016] A landscape point evaluation model is established, and the expression of the landscape point evaluation model is:

[0017]

[0018] 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;

[0019] 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.

[0020] Furthermore, the method of classifying tourists according to the flow of people data includes:

[0021] 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;

[0022] 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;

[0023] 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 one category and marked as personnel classification.

[0024] Furthermore, the attraction value ranges from [0, 100].

[0025] Furthermore, the accommodation expansion formula is:

[0026] Where: RK is the capacity for expansion; RT is the capacity of the corresponding scenic spot; XY1 and XY2 are two adjacent attraction values ​​in the attraction list, XY1≥XY2.

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

[0028] 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;

[0029] 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;

[0030] 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.

[0031] The user demand module is used for users to input corresponding travel needs, identify the travel needs, 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.

[0032] The tourism management module is used for users to manage their tourism, identify the requirements of each scenic spot, tourist attractions and weight coefficients, determine the target scenic spot based on 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 perform supervision and processing based on the travel plan.

[0033] Furthermore, the method of determining the target scenic spot according to each tourism restriction condition includes:

[0034] 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;

[0035] 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.

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

[0037] 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;

[0038] According to the formula Calculate the tourism value of each selected scenic spot;

[0039] 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.

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

[0041] 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;

[0042] 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;

[0043] 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;

[0044] 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.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] Through the cooperation between the channel module, user demand module and tourism management module, a tourism management system from the perspective of tourists is realized, which has significant beneficial effects compared with existing technologies. By introducing advanced data processing and analysis technologies, real-time updating and intelligent push of tourism information are realized. This function not only solves the problem of untimely information push in the existing system, but also greatly improves the efficiency of tourists' information acquisition during the travel process. Tourists can obtain the latest key information such as weather, traffic, and scenic spot opening anytime and anywhere, so as to make more informed travel decisions; at the same time, the scenic spot simulation model is used to intuitively display the scenic spot situation to users, which is convenient for users to manage their travel. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

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

[0051] The channel module is used to connect to various tourism channels to achieve real-time acquisition of dynamic information of each scenic spot, such as ticket prices, prices of surrounding hotels, surrounding snacks, scenic spot images, passenger flow, weather, transportation and other information of concern to tourists; real-time data collection is carried out through various tourism channels to obtain channel information corresponding to each tourism channel, and the information of each channel is sorted according to the corresponding scenic spot to obtain dynamic information of each scenic spot, and a scenic spot model is generated according to the dynamic information of each scenic spot, including the corresponding surrounding tourism-related areas, such as hotels, snack streets, etc.; the scenic spot model is a data model established based on existing visualization technology, that is, the scenic spot is scaled according to the corresponding proportion. With the rise of online tourism and the development of corresponding technologies, the scenic spot model can be generated in combination with the corresponding technology, and the online tourism function can also be set, that is, the online tourism model is formed by combining the scenic spot model with technologies such as virtual reality, and subsequent users can conduct online tourism through VR equipment.

[0052] The scenic spot model is simulated in real scenes according to the dynamic information of the scenic spot to form a scenic spot simulation model; the scenic spot simulation model is used to dynamically simulate the real scenes of the scenic spot to users, such as passenger flow, weather, parking and other related information.

[0053] In one embodiment, the method of simulating a real scene of a scenic spot model according to the dynamic information of the scenic spot is: performing simulation supplement based on the existing technology to form a scenic spot simulation model.

[0054] In one embodiment, a method for simulating a real scene of a scenic spot model according to dynamic information of the scenic spot includes:

[0055] Identify relevant data such as passenger flow data, weather data, traffic data, accommodation data, etc. in the dynamic information of the scenic spot. The passenger flow data includes passenger flow, personnel composition of different ages and genders, etc.; mark non-passenger flow data such as weather data, traffic data, accommodation data, etc. as additional adjustment data; supplement the dynamic information and adjust the scene of the scenic spot model according to the additional adjustment data, such as adjusting the scene according to the weather, and supplement the corresponding data according to the traffic data, accommodation data, etc., indicating the parking and accommodation conditions inside and outside the scenic spot, specifically, supplement according to the platform's supplement method for additional adjustment data, such as supplementing the corresponding car model;

[0056] Identify the various scenic spots in the scenic area model. The scenic spots are the locations that tourists will browse and pass by, such as cableways, snack streets, halls, arch bridges, amusement parks, etc., that is, the areas that attract tourists in the scenic area are divided. Specifically, the various scenic spots can be determined according to the historical records of tourists. Subsequent matching or judgment can be performed to identify the various scenic spots in the scenic area; mark each scenic spot accordingly in the scenic area model;

[0057] Categorize tourists based on traffic data to form categories for each person;

[0058] According to the classification and number of personnel, each scenic spot is evaluated and simulated to obtain the corresponding landscape impact value and landscape personnel information of each scenic spot; according to the landscape personnel information of each scenic spot, the corresponding personnel model is supplemented at each scenic spot in the scenic area model, and the landscape impact value is dynamically updated at each scenic spot in the scenic area model;

[0059] Mark the current scenic spot model as a scenic spot simulation model.

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

[0061] A landscape point evaluation model is established. The landscape point evaluation model determines whether each area in the scenic area model meets the landscape point requirements. 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 regional information includes its use, name and other related data; the output data is the landscape judgment value GP(s); the landscape judgment value is 1 or 2;

[0062] The various regions in the scenic area model are analyzed through the landscape point evaluation model to obtain the landscape judgment value corresponding to each region; the region with a landscape judgment value of 1 is set as a landscape point.

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

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

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

[0066] Obtain the historical browsing records of each scenic spot, determine the attraction value of each scenic spot for tourists with corresponding tourist attributes according to each historical browsing record, and determine the attraction value according to the proportion of the number of visits of each tourist with the tourist attribute at each scenic spot. The attraction value range is [0, 100]. The attraction value of 0% is 0, and the attraction value of 100% is 100. The attraction value of each scenic spot for each tourist attribute can also be determined by other methods; sort the scenic spots in descending order according to the attraction value to obtain an attraction list; the attraction list is used to count the attraction ranking of each scenic spot and the corresponding attraction value;

[0067] Set the capacity of each scenic spot. The capacity is the number of tourists that can be accommodated. If the capacity is exceeded, it will take a long time to queue up. It is set manually, usually by the scenic area management staff;

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

[0069] Where: RK is the capacity for expansion; RT is the capacity of the corresponding scenic spot; XY1 and XY2 are two adjacent attraction values ​​in the attraction list, XY1≥XY2;

[0070] For example, according to the order of A and B in the attraction list, A is before B and adjacent to B. According to the capacity expansion formula and the attraction value between A and B, it can be determined that tourist data of A will enter B only when it reaches the capacity expansion, and tourists who do not reach the capacity of A will go to B separately;

[0071] Identify the number of tourists distributed at each scenic spot in real time and mark it as the number of scenic tourists; determine the allocated scenic spots for tourists entering the scenic area at the corresponding time according to the attraction list, the number of scenic tourists at each scenic spot, the capacity and the capacity expansion formula, and distribute the corresponding tourists to the corresponding allocated scenic spots; that is, determine in turn whether the number of scenic tourists ranked in priority in the attraction list reaches the capacity expansion capacity according to the number of scenic tourists at each scenic spot, the capacity and the capacity expansion formula; if not, mark it as an allocated scenic spot; if reached, analyze the next ranked scenic spot until the allocation is completed; if all are not less than the corresponding capacity expansion capacity, distribute them in turn according to the priority of each scenic spot;

[0072] By analogy, the tourists entering the scenic spot at different times can be distributed;

[0073] The tourists distributed at each scenic spot are divided into a category and marked as personnel classification.

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

[0075] Identify the personnel classification corresponding to each scenic spot, 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, that is, including the number of tourists, personnel composition and other related information;

[0076] Analyze the historical travel evaluation data of each scenic spot to obtain the travel experience of different numbers of tourists and personnel compositions under corresponding weather conditions at the scenic spot, and express the experience in percentage. The experience value corresponding to the personnel information of different scenic spots can be determined in combination with the corresponding scores, and the experience matching table of each scenic spot can be integrated and established; the platform can also directly set up the experience matching table through professionals;

[0077] According to the landscape personnel information and weather conditions, the corresponding experience value is matched from the experience matching table; the landscape impact value is determined according to the obtained experience value; specifically, it can be 100-experience value, or a function graph can be formed according to the landscape impact value = 100-experience value, and the function graph is adjusted, mainly to adjust the slope, which is determined according to specific needs.

[0078] The user demand module is used for users to input corresponding travel needs, which can be specific scenic spots or general travel intention requirements, such as seaside, food, one week, ancient city, bungee jumping, roller coaster and other requirements, and can support text input, language input and other methods; identify the user's travel needs, determine the scenic spot requirements and the required tourist attractions and weight coefficients of each tourist attraction, and perform identification and analysis based on existing data recognition technology; display the scenic spot requirements, tourist attractions and weight coefficients to the user, and 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.

[0079] 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 corresponding to the target scenic spot to the user in real time;

[0080] Users set up travel plans according to their own management needs, and input the travel plans into the travel management module. Supervision is carried out according to the travel plans. Subsequently, the progress and focus content are monitored according to the corresponding travel plan, and management is carried out in accordance with the preset management measures. Supervision is carried out specifically through travel plans, and is carried out according to the corresponding supervision methods preset by the platform. If there are detailed supervision methods in the travel plan, supervision will be carried out in accordance with the corresponding supervision methods.

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

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

[0083] Identify each scenic spot in the scenic area simulation model and the landscape impact value corresponding to each scenic spot, conduct tourism evaluation according to the landscape impact value of each scenic spot, tourist scenic spots and weight coefficient, and obtain the tourism value of each candidate scenic spot; sort each candidate scenic spot in order from high to low according to the tourism value to obtain a tourism sequence, and supplement the scenic area simulation model corresponding to each candidate scenic spot in the tourism sequence; display the tourism sequence to the user, and let the user determine the target scenic spot.

[0084] In one embodiment, a tourism evaluation is performed according to the landscape impact value, tourist attractions and weight coefficient of each scenic spot, that is, the satisfaction of the current selected scenic spot to the user is evaluated according to the landscape impact value, tourist attractions and weight coefficient. The tourism value of all satisfied is 100, and the tourism value of all unsatisfied is 0; specifically:

[0085] The tourist attractions are marked as i, i = 1, 2, ..., n, and n is a positive integer; the landscape impact value of each tourist attraction is identified. If there is no tourist attraction 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 scenic spot to be selected;

[0087] 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.

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

[0089] 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;

[0090] Generate scenic spot models based on the dynamic information of each scenic spot; identify the passenger flow data and additional adjustment data in the dynamic information of the scenic spot, the additional adjustment data includes traffic data, accommodation data, and weather data; supplement the dynamic information and adjust the scene of the scenic spot model based on the additional adjustment data;

[0091] Identify each scenic spot in the scenic area model and mark each scenic spot accordingly in the scenic area model;

[0092] Categorize tourists based on traffic data to form categories for each person;

[0093] According to the classification and number of personnel, each scenic spot is evaluated and simulated to obtain the corresponding landscape impact value and landscape personnel information of each scenic spot; according to the landscape personnel information of each scenic spot, the corresponding personnel model is supplemented at each scenic spot in the scenic area model, and the landscape impact value is dynamically updated at each scenic spot in the scenic area model; the scenic area model is marked as a scenic area simulation model.

[0094] The user inputs the corresponding tourism needs, identifies the tourism needs, determines the requirements of each scenic spot, tourist attractions and weight coefficients, and displays 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.

[0095] 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.

[0096] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0097] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of more restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

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

[0099] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0100] For the convenience of description, the above device is described by dividing each unit into functions and describing them separately. Of course, when implementing the present application, the functions of each unit can be implemented in the same one or more software and / or hardware. It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. 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 storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0101] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 The functionality specified in one or more boxes.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

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 to 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 their tourism, identify the requirements of each scenic spot, tourist attractions and weight coefficients, determine the target scenic spot based on 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 perform supervision and processing based on the travel plan.

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: 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 scenic spot; according to the landscape personnel information of each scenic spot, the corresponding personnel model is supplemented at each scenic spot in the scenic area model, and the landscape impact value is dynamically updated at each scenic spot in the scenic area model; the scenic area model is marked as a scenic area simulation model.

4. A smart tourism management system according to claim 3, 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.

5. A smart tourism management system according to claim 3, characterized in that: 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 one category and marked as personnel classification.

6. A smart tourism management system according to claim 5, characterized in that: 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; XY1 and XY2 are two adjacent attraction values ​​in the attraction list, XY1≥XY2.

7. A smart tourism management system according to claim 3, 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.

8. 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.

9. A smart tourism management system according to claim 8, 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.

10. A smart tourism management method, characterized in that: Applied to a smart tourism management system as claimed in any one of claims 1 to 9, 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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