Intelligent tourism intelligent guide method and system based on cloud computing

Abstract

The application is suitable for the technical field of tourism guide, and provides a smart tourism intelligent guide method and system based on cloud computing. The application divides cloud computing resources into public cloud resources and private cloud resources; through the public cloud resources, complete or simplified follow-up guide play is performed on tourists; remaining guide information is recorded; through the private cloud resources, comparative guide play is performed on tourists by selecting and comparing guide landscapes; through the private cloud resources, continued guide information is generated according to the remaining guide information, and continued guide play is performed on tourists. The public cloud resources and the private cloud resources can be divided, complete or simplified follow-up guide play is performed through the public cloud resources, comparative guide play and continued guide play are performed through the private cloud resources, so that different forms of guide play are performed according to the distance between different guide points, the action speed of tourists, abnormal pause and the like, and the tourism guide experience of tourists is improved.

Description

Technical Field

[0001] This invention belongs to the field of tourism guidance technology, and in particular relates to a smart tourism guidance method and system based on cloud computing. Background Technology

[0002] Tourist guidance is a service that provides tourists with accurate, clear, and targeted information during tourism activities to help them understand the value of attractions and enhance their overall tourism experience. It typically includes information such as background information on attractions, interpretation of history and culture, description of the natural environment, and relevant precautions.

[0003] Existing tourist guidance technology mainly involves playing a fixed-format guide to tourists at multiple pre-set guide points according to pre-set guide information, resulting in a poor tourist guidance experience. Summary of the Invention

[0004] The purpose of this invention is to provide a cloud-based smart tourism intelligent guide method and system, which aims to solve the technical problems existing in the prior art mentioned in the background.

[0005] The embodiments of the present invention are implemented as follows:

[0006] A cloud-based smart tourism intelligent navigation method, the method specifically includes the following steps:

[0007] Cloud computing resources are divided into public cloud resources and private cloud resources;

[0008] Using the public cloud resources, the current guide point is located, the action duration and guide duration are calculated, and a complete or simplified dynamic guide is played for the tourists.

[0009] Record remaining tour information during any abnormal pauses in the guided tour playback;

[0010] Using the private cloud resources, when there is guide redundancy and similar historical landscapes, the difference in landscape is calculated and compared, and the guide landscapes are selected for comparison and played to tourists.

[0011] Using the private cloud resources, when there is guide redundancy but no similar historical landscape, continued guide information is generated based on the remaining guide information, and the continued guide is played for tourists.

[0012] As a further limitation of the technical solution of this embodiment of the invention, the division of cloud computing resources into public cloud resources and private cloud resources specifically includes the following steps:

[0013] Obtain tourists' historical travel data;

[0014] Determine the target attribute data of the current tourist attraction;

[0015] Based on the target attribute data, a correlation analysis is performed on the historical tourism data to plan the resource allocation ratio for cloud computing;

[0016] According to the resource allocation ratio of the cloud computing, the cloud computing resources are divided into public cloud resources and private cloud resources.

[0017] As a further limitation of the technical solution of this invention embodiment, the step of locating and determining the current guide point through the public cloud resources, calculating the action duration and guide duration, and providing tourists with a complete or simplified dynamic guide playback specifically includes the following steps:

[0018] Real-time acquisition of tourists' travel location data;

[0019] By analyzing the tourism location data using the public cloud resources, the current guide point and adjacent guide points can be determined.

[0020] Calculate the tourist's movement speed based on the tourist location data;

[0021] Obtain the adjacent guide distance between the current guide point and the adjacent guide point;

[0022] The duration of the action is calculated based on the action speed and the distance between adjacent guides.

[0023] Based on the current guide point, match the current guide information and determine the corresponding guide duration;

[0024] The duration of the action is compared with the duration of the guided tour, and a complete or simplified guided tour is played for the tourists according to the current guided tour information.

[0025] As a further limitation of the technical solution of this embodiment of the invention, the step of comparing the action duration with the guided tour duration and playing a complete or simplified guided tour for tourists according to the current guided tour information specifically includes the following steps:

[0026] Determine whether the duration of the action is less than the duration of the guided tour;

[0027] If the duration of the action is not less than the duration of the guided tour, then a complete guided tour will be played for the tourist according to the current guided tour information;

[0028] If the action duration is less than the tour duration, the current tour information is simplified to generate simplified tour information.

[0029] Based on the simplified tour guide information, a simplified, dynamic tour guide will be played for tourists.

[0030] As a further limitation of the technical solution of this invention embodiment, the step of calculating and comparing landscape differences and selecting comparative guide landscapes for tourists through the private cloud resources when there is guide redundancy and similar historical landscapes specifically includes the following steps:

[0031] When the duration of the activity is greater than n times the duration of the guided tour, it is determined that there is guided tour redundancy;

[0032] The current guided view at the current guide point is determined using the private cloud resources.

[0033] Based on the current guided landscape, the historical tourism data is compared with similar historical landscapes to determine whether there are similar historical landscapes.

[0034] When there are similar historical landscapes, obtain similar attribute data of multiple similar historical landscapes, and extract the current attribute data of the current guided landscape from the target attribute data;

[0035] Based on the current attribute data and multiple similar attribute data, perform a difference analysis between the current guided landscape and multiple similar historical landscapes, and calculate the difference degree of multiple landscapes.

[0036] The differences between multiple landscapes are compared, and a comparative guided landscape is selected from multiple similar historical landscapes.

[0037] The current guided view is compared with the compared guided view, and comparative guided view information is generated.

[0038] Based on the aforementioned comparative tour information, a comparative tour is played for tourists.

[0039] As a further limitation of the technical solution of this embodiment of the invention, the calculation formulas for the various landscape differences are as follows:

[0040] ;

[0041] in, Representing the A similar historical landscape, For the current guided landscape and the first The degree of landscape difference among similar historical landscapes Representing the There are attributes, totaling _ ... One attribute, For the first The first of its kind of historical landscape The attribute value of each attribute.

[0042] As a further limitation of the technical solution of this invention embodiment, the step of generating continued tour information based on the remaining tour information and playing the continued tour information for tourists through the private cloud resources when there is tour redundancy but no similar historical landscapes specifically includes the following steps:

[0043] Using the private cloud resources, when there is guide redundancy but no similar historical landscape, the remaining guide information is loaded;

[0044] According to the preset continuation guide template, the remaining guide information is processed to generate continuation guide information;

[0045] The tour guide will play a continuation guide for visitors according to the provided information.

[0046] A cloud-based smart tourism intelligent guide system includes a cloud resource allocation module, a dynamic guide playback module, an abnormal pause handling module, a comparison guide playback module, and a continuation guide playback module, wherein:

[0047] The cloud resource partitioning module is used to partition cloud computing resources into public cloud resources and private cloud resources;

[0048] The dynamic guided tour playback module is used to locate and determine the current guided tour point through the public cloud resources, calculate the action duration and tour duration, and provide tourists with a complete or simplified dynamic guided tour playback.

[0049] The abnormal pause handling module is used to record the remaining tour information when there is an abnormal pause during the playback of the dynamic tour guide;

[0050] The comparative guided tour playback module is used to calculate and compare the differences in landscapes when there is guide redundancy and similar historical landscapes through the private cloud resources, select the comparative guided tour landscapes, and play the comparative guided tour for tourists.

[0051] The extended guided tour playback module is used to generate extended guided tour information based on the remaining guided tour information when there is guided tour redundancy but no similar historical landscape, using the private cloud resources, and to play the extended guided tour for tourists.

[0052] As a further limitation of the technical solution of this embodiment of the invention, the follow-up guided playback module specifically includes:

[0053] Location acquisition unit, used to acquire tourists' travel location data in real time;

[0054] The guide point analysis unit is used to analyze the tourism location data through the public cloud resources to determine the current guide point and adjacent guide points;

[0055] The movement speed calculation unit is used to calculate the movement speed of the tourist based on the tourist location data.

[0056] The distance acquisition unit is used to acquire the adjacent guide distance between the current guide point and the adjacent guide point;

[0057] The action duration calculation unit is used to calculate the action duration according to the action speed and the adjacent tour distance;

[0058] The guided tour duration determination unit is used to match the current guided tour information based on the current guided tour point and determine the corresponding guided tour duration;

[0059] The guided tour playback unit is used to compare the action duration with the guided tour duration, and to play a complete or simplified guided tour for tourists according to the current guided tour information.

[0060] As a further limitation of the technical solution of this embodiment of the invention, the guided playback unit specifically includes:

[0061] The duration comparison subunit is used to determine whether the action duration is less than the tour duration;

[0062] The complete guided tour subunit is used to play a complete guided tour for tourists according to the current guided tour information when the action duration is not less than the guided tour duration.

[0063] The simplification processing subunit is used to simplify the current tour information and generate simplified tour information when the action duration is less than the tour duration.

[0064] The simplified tour guide subunit is used to provide tourists with a simplified, dynamic tour guide based on the simplified tour guide information.

[0065] Compared with the prior art, the beneficial effects of the present invention are:

[0066] This invention divides cloud computing resources into public and private cloud resources. Using public cloud resources, it provides tourists with complete or simplified guided tours and records remaining tour information. Using private cloud resources, it selects and compares different scenic spots for comparative guided tours. Finally, using private cloud resources, it generates extended guided tour information based on the remaining information and provides continued guided tours for tourists. This allows for the division of public and private cloud resources, enabling complete or simplified guided tours using public cloud resources and comparative and continued guided tours using private cloud resources. This allows for different forms of guided tours based on factors such as distance between different tour points, tourist movement speed, and abnormal pauses, thus enhancing the tourist's guided tour experience. Attached Figure Description

[0067] Figure 1 A flowchart of the cloud-based smart tourism intelligent guide method provided by an embodiment of the present invention is shown;

[0068] Figure 2 The following is an application architecture diagram of the cloud-based smart tourism intelligent guide system provided by an embodiment of the present invention. Detailed Implementation

[0069] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0070] Understandably, current tourist guide technology mainly involves playing a fixed-format guide to tourists at multiple pre-set guide points according to pre-set guide information, resulting in a poor tourist guide experience.

[0071] To address the aforementioned issues, this invention discloses a cloud-based smart tourism intelligent guide method and system. This system divides cloud computing resources into public and private cloud resources. Using public cloud resources, it locates and determines the current guide point, calculates the action duration and guide duration, and provides tourists with a complete or simplified dynamic guide playback. It also records remaining guide information during abnormal pauses in the dynamic guide playback. Using private cloud resources, when there is guide redundancy and similar historical landscapes, it calculates and compares landscape differences, selects comparable guide landscapes, and provides comparative guide playback to tourists. Using private cloud resources, when there is guide redundancy but no similar historical landscapes, it generates continued guide information based on the remaining guide information and provides continued guide playback to tourists. This system can divide public and private cloud resources, providing complete or simplified dynamic guide playback using public cloud resources, and comparative and continued guide playback using private cloud resources. This allows for different forms of guide playback based on the distance between different guide points, tourist movement speed, abnormal pauses, etc., thereby improving the tourist's tourism guide experience.

[0072] Specifically, Figure 1 A flowchart of a cloud-based smart tourism intelligent guide method provided by an embodiment of the present invention is shown.

[0073] In a preferred embodiment of the present invention, a cloud-based smart tourism intelligent guide method specifically includes the following steps:

[0074] Step S101: Divide cloud computing resources into public cloud resources and private cloud resources.

[0075] In this embodiment of the invention, historical tourism data of tourists is acquired, and the target attribute data of the current tourist attraction is determined. Then, based on the target tourism type corresponding to the target attribute data, the historical tourism data is correlated and analyzed to identify multiple associated historical tourist attractions with the same target tourism type. The corresponding number of associated historical attractions is counted, and then the resource allocation ratio of cloud computing is planned according to the number of associated historical attractions. After that, the cloud computing resources are allocated according to the resource allocation ratio of cloud computing to obtain public cloud resources and private cloud resources.

[0076] Understandably, the more historical records associated, the higher the proportion of private cloud resources in the resource allocation ratio; conversely, the fewer historical records associated, the lower the proportion of private cloud resources in the resource allocation ratio.

[0077] Understandably, the target tourism type is the basic type of the current tourist attraction. For example, if the current tourist attraction is "Mount Tai", the target tourism type is "famous mountain type"; if the current tourist attraction is "Terracotta Warriors", the target tourism type is "historical type"; if the current tourist attraction is "Erhai Lake", the target tourism type is "lake type".

[0078] It is understandable that the number of associated historical sites refers to the number of associated historical scenic spots.

[0079] Specifically, in another preferred embodiment provided by the present invention, the division of cloud computing resources into public cloud resources and private cloud resources specifically includes the following steps:

[0080] Obtain tourists' historical travel data;

[0081] Determine the target attribute data of the current tourist attraction;

[0082] Based on the target attribute data, a correlation analysis is performed on the historical tourism data to plan the resource allocation ratio for cloud computing;

[0083] According to the resource allocation ratio of the cloud computing, the cloud computing resources are divided into public cloud resources and private cloud resources.

[0084] Furthermore, the cloud-based smart tourism intelligent guide method also includes the following steps:

[0085] Step S102: Using the public cloud resources, locate the current guide point, calculate the action duration and guide duration, and play a complete or simplified dynamic guide for tourists.

[0086] In this embodiment of the invention, real-time tourist location is performed to obtain tourist location data. This data is then analyzed using public cloud resources. If the tourist is within a preset range of a guide point, the current guide point and adjacent guide points are determined. Simultaneously, by performing action analysis on the tourist location data, the tourist's movement speed is calculated, and the adjacent guide distance between the current guide point and adjacent guide points is obtained. The movement duration is then calculated based on the movement speed and adjacent guide distance. Finally, based on the current guide point, default current guide information is matched, and the guide corresponding to the current guide information is determined. Duration is determined by comparing the action duration with the guided tour duration. If the action duration is not less than the guided tour duration, it indicates that under normal circumstances, the current guided tour information can be played in its entirety. In this case, a complete guided tour is played for the tourists according to the current guided tour information. If the action duration is less than the guided tour duration, it indicates that under normal circumstances, the current guided tour information cannot be played in its entirety. In this case, the current guided tour information is simplified to generate simplified guided tour information, and then a simplified guided tour is played for the tourists according to the simplified guided tour information.

[0087] Understandably, the preset range can be a circular area with a radius of 10 meters, centered on the guide point.

[0088] Understandably, after determining the current guide point, the direction of the tourist's travel route can be identified to determine the next guide point and mark it as the adjacent guide point.

[0089] Specifically, in another preferred embodiment provided by the present invention, the step of locating and determining the current guide point through the public cloud resources, calculating the action duration and guide duration, and providing tourists with a complete or simplified dynamic guide playback specifically includes the following steps:

[0090] Real-time acquisition of tourists' travel location data;

[0091] By analyzing the tourism location data using the public cloud resources, the current guide point and adjacent guide points can be determined.

[0092] Calculate the tourist's movement speed based on the tourist location data;

[0093] Obtain the adjacent guide distance between the current guide point and the adjacent guide point;

[0094] The duration of the action is calculated based on the action speed and the distance between adjacent guides.

[0095] Based on the current guide point, match the current guide information and determine the corresponding guide duration;

[0096] The duration of the action is compared with the duration of the guided tour, and a complete or simplified guided tour is played for the tourists according to the current guided tour information.

[0097] Specifically, in another preferred embodiment provided by the present invention, the step of comparing the action duration with the guided tour duration and playing a complete or simplified guided tour for tourists according to the current guided tour information specifically includes the following steps:

[0098] Determine whether the duration of the action is less than the duration of the guided tour;

[0099] If the duration of the action is not less than the duration of the guided tour, then a complete guided tour will be played for the tourist according to the current guided tour information;

[0100] If the action duration is less than the tour duration, the current tour information is simplified to generate simplified tour information.

[0101] Based on the simplified tour guide information, a simplified, dynamic tour guide will be played for tourists.

[0102] Furthermore, the cloud-based smart tourism intelligent guide method also includes the following steps:

[0103] Step S103: Record the remaining tour information when there is an abnormal pause during the playback of the guided tour.

[0104] It is understandable that abnormal pauses could be caused by tourists voluntarily pausing the guided tour; it could also be due to tourists suddenly increasing their pace of movement, causing the current or condensed guided tour information to not be fully played when they arrive at the next guided tour point; or it could be due to signal problems causing the guided tour to pause unexpectedly.

[0105] Step S104: Using the private cloud resources, when there is guide redundancy and similar historical landscapes, calculate and compare the landscape differences, select the comparison guide landscapes, and play the comparison guide for tourists.

[0106] In this embodiment of the invention, the action duration is compared with n times the guided tour duration to determine if the action duration is greater than n times the guided tour duration. If the action duration is greater than n times the guided tour duration, guided tour redundancy is determined. Then, using private cloud resources, the current guided tour view of the current guided tour point is determined. Based on the current guided tour view, historical tourism data is compared to determine if there are similar historical views. If similar historical views are found, the conditions of guided tour redundancy and similar historical views are met. Then, similar attribute data of multiple similar historical views are obtained, and the current attribute data of the current guided tour view is extracted from the target attribute data. Then, according to... Based on the current attribute data and multiple similar attribute data, a difference analysis is performed between the current guided landscape and multiple similar historical landscapes. The difference degree of each landscape is calculated and compared. From the multiple similar historical landscapes, the one with the smallest difference degree from the current guided landscape is selected as the comparative guided landscape. Comparative attribute data corresponding to the comparative guided landscape is extracted from the multiple similar attribute data. Then, based on the current attribute data and the comparative attribute data, a comparative guided tour analysis is performed between the current guided landscape and the comparative guided landscape to generate comparative guided tour information. Finally, based on the comparative guided tour information, a comparative guided tour is played for tourists. Specifically, the formula for calculating the difference degree of multiple landscapes is as follows:

[0107] ;

[0108] in, Representing the A similar historical landscape, For the current guided landscape and the first The degree of landscape difference among similar historical landscapes Representing the There are attributes, totaling _ ... One attribute, For the first The first of its kind of historical landscape The attribute value of each attribute.

[0109] Understandably, the types of attractions in the pre-tour area can include ancient pavilions, unusual trees, and unusual rocks; similar historical attractions are of the same type as the attractions in the pre-tour area.

[0110] It is understandable that similar attribute data contains the names, times (construction time, time of creation, or creation time, etc.), dimensions, shapes, backgrounds, etc. of similar historical landscapes.

[0111] Understandable, For the first The first of its kind of historical landscape The attribute value of the first attribute is either 0 or 1. Specifically, if the first attribute... The first of its kind of historical landscape The attribute is related to the current guided landscape. If all attributes are the same, then (For example: if the Flying Stone of Huangshan and the Flying Stone of Tianzhushan have the same name, then the attribute value corresponding to the name is equal to 1); if the first The first of its kind of historical landscape The attribute is related to the current guided landscape. If the attributes are different, then (For example: the Flying Stone of Huangshan is in the shape of an isolated boulder, while the Flying Stone of Tianzhushan is in the shape of a flower hat, so the attribute value corresponding to the shape is equal to 0).

[0112] Specifically, in another preferred embodiment provided by the present invention, the step of calculating and comparing landscape differences using the private cloud resources when there is guide redundancy and similar historical landscapes, selecting comparative guide landscapes, and playing comparative guides for tourists specifically includes the following steps:

[0113] When the duration of the activity is greater than n times the duration of the guided tour, it is determined that there is guided tour redundancy;

[0114] The current guided view at the current guide point is determined using the private cloud resources.

[0115] Based on the current guided landscape, the historical tourism data is compared with similar historical landscapes to determine whether there are similar historical landscapes.

[0116] When there are similar historical landscapes, obtain similar attribute data of multiple similar historical landscapes, and extract the current attribute data of the current guided landscape from the target attribute data;

[0117] Based on the current attribute data and multiple similar attribute data, perform a difference analysis between the current guided landscape and multiple similar historical landscapes, and calculate the difference degree of multiple landscapes.

[0118] The differences between multiple landscapes are compared, and a comparative guided landscape is selected from multiple similar historical landscapes.

[0119] The current guided view is compared with the compared guided view, and comparative guided view information is generated.

[0120] Based on the aforementioned comparative tour information, a comparative tour is played for tourists.

[0121] Furthermore, the cloud-based smart tourism intelligent guide method also includes the following steps:

[0122] Step S105: Using the private cloud resources, when there is guide redundancy but no similar historical landscape, generate continued guide information based on the remaining guide information, and play the continued guide for tourists.

[0123] In this embodiment of the invention, when there is redundancy in the guided tour but no similar historical landscape, the remaining guided tour information is loaded using private cloud resources. Then, the remaining guided tour information is processed according to a preset extended guided tour template to generate extended guided tour information. The extended guided tour is then played for tourists according to the extended guided tour information.

[0124] Understandably, the preset continuation guide template could be something like, "The guided tour of XX scenic spot was paused for XX reason. Now we will resume the guided tour."

[0125] Specifically, in another preferred embodiment provided by the present invention, the step of generating continued tour information based on the remaining tour information and playing the continued tour information for tourists through the private cloud resources when there is tour redundancy but no similar historical landscape includes the following steps:

[0126] Using the private cloud resources, when there is guide redundancy but no similar historical landscape, the remaining guide information is loaded;

[0127] According to the preset continuation guide template, the remaining guide information is processed to generate continuation guide information;

[0128] The tour guide will play a continuation guide for visitors according to the provided information.

[0129] Furthermore, Figure 2 The following is an application architecture diagram of the cloud-based smart tourism intelligent guide system provided by an embodiment of the present invention.

[0130] Specifically, in another preferred embodiment provided by the present invention, the cloud-based smart tourism intelligent guide system includes:

[0131] The cloud resource partitioning module 101 is used to partition cloud computing resources into public cloud resources and private cloud resources.

[0132] In this embodiment of the invention, the cloud resource allocation module 101 acquires tourists' historical tourism data and determines the target attribute data of the current tourist attraction. Based on the target tourism type corresponding to the target attribute data, it performs correlation analysis on the historical tourism data to identify multiple associated historical tourist attractions with the same target tourism type. It then counts the corresponding number of associated historical attractions and plans the cloud computing resource allocation ratio according to the number of associated historical attractions. Finally, it divides the cloud computing resources according to the cloud computing resource allocation ratio to obtain public cloud resources and private cloud resources.

[0133] The dynamic guided tour playback module 102 is used to locate and determine the current guided tour point through the public cloud resources, calculate the action duration and tour duration, and provide tourists with a complete or simplified dynamic guided tour playback.

[0134] In this embodiment of the invention, the dynamic guided tour playback module 102 performs real-time tourist location tracking, acquires tourist location data, and analyzes the location data using public cloud resources. If the tourist is within a preset range of the guide points, the current guide point and adjacent guide points are determined. Simultaneously, by performing action analysis on the tourist location data, the tourist's movement speed is calculated, and the adjacent guide distance between the current guide point and adjacent guide points is obtained. Then, based on the movement speed and adjacent guide distance, the movement duration is calculated. Finally, based on the current guide point, the default current guide information is matched, and the current guide information is determined. The system compares the action duration with the tour duration to determine if the action duration is less than the tour duration. If the action duration is not less than the tour duration, it means that under normal circumstances, the current tour information can be played in its entirety. In this case, the tour is played in its entirety according to the current tour information. If the action duration is less than the tour duration, it means that under normal circumstances, the current tour information cannot be played in its entirety. In this case, the current tour information is simplified to generate simplified tour information, and then the tour is played in a simplified version according to the simplified tour information.

[0135] Specifically, in another preferred embodiment provided by the present invention, the follow-up guided playback module 102 specifically includes:

[0136] Location acquisition unit, used to acquire tourists' travel location data in real time;

[0137] The guide point analysis unit is used to analyze the tourism location data through the public cloud resources to determine the current guide point and adjacent guide points;

[0138] The movement speed calculation unit is used to calculate the movement speed of the tourist based on the tourist location data.

[0139] The distance acquisition unit is used to acquire the adjacent guide distance between the current guide point and the adjacent guide point;

[0140] The action duration calculation unit is used to calculate the action duration according to the action speed and the adjacent tour distance;

[0141] The guided tour duration determination unit is used to match the current guided tour information based on the current guided tour point and determine the corresponding guided tour duration;

[0142] The guided tour playback unit is used to compare the action duration with the guided tour duration, and to play a complete or simplified guided tour for tourists according to the current guided tour information.

[0143] Specifically, in another preferred embodiment provided by the present invention, the guided playback unit specifically includes:

[0144] The duration comparison subunit is used to determine whether the action duration is less than the tour duration;

[0145] The complete guided tour subunit is used to play a complete guided tour for tourists according to the current guided tour information when the action duration is not less than the guided tour duration.

[0146] The simplification processing subunit is used to simplify the current tour information and generate simplified tour information when the action duration is less than the tour duration.

[0147] The simplified tour guide subunit is used to provide tourists with a simplified, dynamic tour guide based on the simplified tour guide information.

[0148] Furthermore, the cloud-based smart tourism intelligent guide system also includes:

[0149] The abnormal pause handling module 103 is used to record the remaining tour information when there is an abnormal pause during the playback of the dynamic tour guide.

[0150] The comparison guide playback module 104 is used to calculate and compare the degree of landscape difference when there is guide redundancy and similar historical landscapes through the private cloud resources, select the comparison guide landscapes, and play the comparison guide for tourists.

[0151] In this embodiment of the invention, the comparison guide playback module 104 compares the action duration with n times the guide duration to determine whether the action duration is greater than n times the guide duration. If the action duration is greater than n times the guide duration, guide redundancy is determined. At this time, the current guide view of the current guide point is determined through private cloud resources, and based on the current guide view, historical tourism data is compared to determine whether there are similar historical views. If similar historical views are determined, the conditions of guide redundancy and similar historical views are met. At this time, similar attribute data of multiple similar historical views are obtained, and the current attribute of the current guide view is extracted from the target attribute data. The data is then used to perform a difference analysis between the current guided landscape and several similar historical landscapes, based on the current attribute data and multiple similar attribute data. The difference degree of each landscape is calculated and compared. From the multiple similar historical landscapes, the one with the smallest difference degree from the current guided landscape is selected as the comparative guided landscape. Comparative attribute data corresponding to the comparative guided landscape is extracted from the multiple similar attribute data. Then, based on the current attribute data and the comparative attribute data, a comparative guided tour analysis is performed between the current guided landscape and the comparative guided landscape to generate comparative guided tour information. Finally, based on the comparative guided tour information, a comparative guided tour is played for tourists. Specifically, the formula for calculating the difference degree of multiple landscapes is:

[0152] ;

[0153] in, Representing the A similar historical landscape, For the current guided landscape and the first The degree of landscape difference among similar historical landscapes Representing the There are attributes, totaling _ ... One attribute, For the first The first of its kind of historical landscape The attribute value of each attribute.

[0154] The extended guided tour playback module 105 is used to generate extended guided tour information based on the remaining guided tour information when there is guided tour redundancy but no similar historical landscape, and to play the extended guided tour for tourists through the private cloud resources.

[0155] In this embodiment of the invention, the extended guided tour playback module 105 uses private cloud resources to load the remaining guided tour information when there is guide redundancy but no similar historical landscape. Then, it processes the remaining guided tour information according to the preset extended guided tour template to generate extended guided tour information, and plays the extended guided tour for tourists according to the extended guided tour information.

[0156] The above-described embodiments are merely examples of several implementations of the present invention, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the present invention. For those skilled in the art, various modifications and improvements can be made without departing from the concept of the present invention, and these modifications and improvements all fall within the protection scope of the present invention.

Claims

1. A cloud-based intelligent tourism navigation method, characterized in that, The method specifically includes the following steps: Cloud computing resources are divided into public cloud resources and private cloud resources; Using the public cloud resources, the current guide point is located, the action duration and guide duration are calculated, and a complete or simplified dynamic guide is played for the tourists. Real-time tourist location tracking is performed to obtain tourist location data. This data is then analyzed using public cloud resources. If a tourist is within a preset range of a guide point, the current guide point and adjacent guide points are determined. Simultaneously, action analysis of the location data is performed to calculate the tourist's movement speed and the adjacent guide distances between the current and adjacent guide points. The action duration is then calculated based on the movement speed and distance. Furthermore, based on the current guide point, default current guide information is matched, and the corresponding guide duration is determined. By comparing the action duration with the guide duration, it is determined whether the action duration is too short. Regarding the guided tour duration, if the action duration is not less than the guided tour duration, it indicates that under normal circumstances, the current guided tour information can be played in its entirety. In this case, the guided tour is played in its entirety according to the current guided tour information. If the action duration is less than the guided tour duration, it indicates that under normal circumstances, the current guided tour information cannot be played in its entirety. In this case, the current guided tour information is simplified to generate simplified guided tour information, and then the guided tour is played in a simplified manner according to the simplified guided tour information. After determining the current guided tour point, the tourist's travel route direction is identified to determine the next guided tour point and mark it as the adjacent guided tour point. Record remaining tour information during any abnormal pauses in the guided tour playback; Using the private cloud resources, when there is guide redundancy and similar historical landscapes, the difference in landscape is calculated and compared, and the guide landscapes are selected for comparison and played to tourists. If the duration of the action is determined to be more than n times the duration of the guided tour, then guided tour redundancy is determined. Using the private cloud resources, when there is guide redundancy but no similar historical landscape, continued guide information is generated based on the remaining guide information, and the continued guide is played for tourists.

2. The cloud-based smart tourism intelligent guide method according to claim 1, characterized in that, The process of dividing cloud computing resources into public cloud resources and private cloud resources specifically includes the following steps: Obtain tourists' historical travel data; Determine the target attribute data of the current tourist attraction; Based on the target attribute data, a correlation analysis is performed on the historical tourism data to plan the resource allocation ratio for cloud computing; According to the resource allocation ratio of the cloud computing, the cloud computing resources are divided into public cloud resources and private cloud resources.

3. The cloud-based smart tourism intelligent guide method according to claim 2, characterized in that, The process of calculating and comparing landscape differences using the private cloud resources, when there is redundancy in the guided tour and similar historical landscapes, and selecting landscapes for comparison, specifically includes the following steps: When the duration of the activity is greater than n times the duration of the guided tour, it is determined that there is guided tour redundancy; The current guided view at the current guide point is determined using the private cloud resources. Based on the current guided landscape, the historical tourism data is compared with similar historical landscapes to determine whether there are similar historical landscapes. When there are similar historical landscapes, obtain similar attribute data of multiple similar historical landscapes, and extract the current attribute data of the current guided landscape from the target attribute data; Based on the current attribute data and multiple similar attribute data, perform a difference analysis between the current guided landscape and multiple similar historical landscapes, and calculate the difference degree of multiple landscapes. The differences between multiple landscapes are compared, and a comparative guided landscape is selected from multiple similar historical landscapes. The current guided view is compared with the compared guided view, and comparative guided view information is generated. Based on the aforementioned comparative tour information, a comparative tour is played for tourists.

4. The cloud-based smart tourism intelligent guide method according to claim 3, characterized in that, The formulas for calculating the various landscape differences are as follows: ； in, Representing the A similar historical landscape, For the current guided landscape and the first The degree of landscape difference among similar historical landscapes Representing the There are attributes, totaling _ ... One attribute, For the first The first of its kind of historical landscape The attribute value of each attribute. The value is 0 or 1. Specifically, if the first... The first of its kind of historical landscape The attribute is related to the current guided landscape. If all attributes are the same, then If the first The first of its kind of historical landscape The attribute is related to the current guided landscape. If the attributes are different, then .

5. The cloud-based smart tourism intelligent guide method according to claim 3, characterized in that, The process of generating continued tour information and playing it for tourists based on the remaining tour information, using the private cloud resources when there is tour redundancy but no similar historical landscape, specifically includes the following steps: Using the private cloud resources, when there is guide redundancy but no similar historical landscape, the remaining guide information is loaded; According to the preset continuation guide template, the remaining guide information is processed to generate continuation guide information; The tour guide will play a continuation guide for visitors according to the provided information.

6. A cloud-based smart tourism intelligent tour guide system for executing the cloud-based smart tourism intelligent tour guide method as described in any one of claims 1-5, characterized in that, The system includes a cloud resource allocation module, a dynamic guided playback module, an abnormal pause handling module, a comparison guided playback module, and a continued guided playback module, wherein: The cloud resource partitioning module is used to partition cloud computing resources into public cloud resources and private cloud resources; The dynamic guided tour playback module is used to locate and determine the current guided tour point through the public cloud resources, calculate the action duration and tour duration, and provide tourists with a complete or simplified dynamic guided tour playback. The abnormal pause handling module is used to record the remaining tour information when there is an abnormal pause during the playback of the dynamic tour guide; The comparative guided tour playback module is used to calculate and compare the differences in landscapes when there is guide redundancy and similar historical landscapes through the private cloud resources, select the comparative guided tour landscapes, and play the comparative guided tour for tourists. The extended guided tour playback module is used to generate extended guided tour information based on the remaining guided tour information when there is guided tour redundancy but no similar historical landscape, using the private cloud resources, and to play the extended guided tour for tourists.

7. The cloud-based smart tourism intelligent guide system according to claim 6, characterized in that, The dynamic guided playback module specifically includes: Location acquisition unit, used to acquire tourists' travel location data in real time; The guide point analysis unit is used to analyze the tourism location data through the public cloud resources to determine the current guide point and adjacent guide points; The movement speed calculation unit is used to calculate the movement speed of the tourist based on the tourist location data. The distance acquisition unit is used to acquire the adjacent guide distance between the current guide point and the adjacent guide point; The action duration calculation unit is used to calculate the action duration according to the action speed and the adjacent tour distance; The guided tour duration determination unit is used to match the current guided tour information based on the current guided tour point and determine the corresponding guided tour duration; The guided tour playback unit is used to compare the action duration with the guided tour duration, and to play a complete or simplified guided tour for tourists according to the current guided tour information.

8. The cloud-based smart tourism intelligent guide system according to claim 7, characterized in that, The guided playback unit specifically includes: The duration comparison subunit is used to determine whether the action duration is less than the tour duration; The complete guided tour subunit is used to play a complete guided tour for tourists according to the current guided tour information when the action duration is not less than the guided tour duration. The simplification processing subunit is used to simplify the current tour information and generate simplified tour information when the action duration is less than the tour duration. The simplified tour guide subunit is used to provide tourists with a simplified, dynamic tour guide based on the simplified tour guide information.

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