Visual guide design method and system based on augmented reality technology

Abstract

The present application relates to the technical field of augmented reality, and especially relates to a visual guide design method and system based on augmented reality technology, the present application carries out comprehensive analysis on the basis of the browsing angle data and the personnel density data on the browsing angle of each moment of the corresponding browsing category of the browsing path, obtains the fluctuation of the comprehensive analysis result of the browsing of all surface positions of the browsing category of the article, carries out the overall browsing situation analysis of the browsing category of the article, carries out the browsing matching analysis of the browsing path on the basis of the deviation of the browsing time and the overall browsing situation analysis result of all browsing category of the article, the present application starts from the overall comprehensive browsing of the surface position of the browsing article, evaluates the comprehensive browsing of the browsing article and the uniformity of the browsing of each browsing path, so as to evaluate the most suitable browsing route, and the accuracy of the browsing route recommendation is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of augmented reality technology, in particular to a visual guide design method and system based on augmented reality technology. BACKGROUND

[0002] When a large exhibition or museum exhibition is held, a large number of people need to take designated transportation tools (browsing vehicles) or walk along planned paths to reach the designated exhibition location for viewing, and the viewing time is also limited. Therefore, how to plan the path for the personnel who need to view the specified type of exhibits is a problem. For this reason, a visual guide design system is needed.

[0003] The prior art, for example, discloses a visual guide design method based on augmented reality technology in a Chinese patent with the application publication number CN116222611A, which includes the following steps: step one: start the positioning controller; step two: select whether to start the camera; step three: guide the user to start towards the destination through the camera; step four: guide the user to start towards the destination through voice broadcast; step five: determine the new reference point; step six: terminate the guidance. The invention belongs to the technical field of guide system research, and specifically relates to a visual guide design method based on augmented reality technology, which combines digital display and voice broadcast to update the positions of the landmarks, the destination, and the user and the destination in real time, and effectively overcomes the problems of difficult position determination and inaccurate destination finding in the prior art by comparing the distance values. However, it cannot evaluate the overall and uniformity of the browsing of the browsing paths for the browsing of the items, and it cannot analyze the browsing situation by comprehensively considering the vision information, personnel blocking information, and browsing distance information of the browsing personnel, resulting in low accuracy of the recommended browsing route.

[0004] In order to solve these problems, the present application designs a visual guide design method and system based on augmented reality technology. SUMMARY

[0005] In order to overcome the defects and deficiencies existing in the prior art, the application provides a visual guide design method and system based on augmented reality technology, acquires browsing information of each browsing path, performs browsing comprehensive analysis based on browsing angle data and personnel density data on the browsing angle of each moment of the corresponding browsing category of each browsing path, acquires fluctuations of browsing comprehensive analysis results of all surface positions of the browsing category, performs browsing overall situation analysis of the browsing category, performs browsing matching analysis of the browsing path based on deviation of the browsing time and the browsing overall situation analysis result of all browsing categories, and evaluates the browsing comprehensiveness and uniformity of each browsing path to the browsing category from the perspective of overall comprehensive browsing of the surface position of the browsing category, so as to evaluate the most suitable browsing route and improve the accuracy of the browsing route recommendation.

[0006] In order to achieve the above purpose, the application adopts the following technical solutions:

[0007] In a first aspect, the application provides a visual guide design method based on augmented reality technology, including the following steps:

[0008] S1, acquiring browsing category information of an experience person, acquiring position distribution data of a browsing category, and simultaneously acquiring average density data of personnel at each position in a historical scene;

[0009] S2, acquiring browsing information of each browsing path, and performing browsing comprehensive analysis based on browsing angle data and personnel density data on the browsing angle of each moment of the corresponding browsing category of each browsing path;

[0010] S3, acquiring fluctuations of browsing comprehensive analysis results of all surface positions of the browsing category to perform browsing overall situation analysis of the browsing category;

[0011] S4, performing browsing matching analysis of the browsing path based on deviation of the browsing time and the browsing overall situation analysis result of all browsing categories;

[0012] S5, selecting the optimal browsing path based on the browsing matching analysis result of the browsing path to perform browsing recommendation.

[0013] In an implementation manner of the application, the acquisition manner of the browsing category information of the experience person is that a browsing person inputs a browsing category of a browsing category of a browsing category in a virtual device, the virtual device is automatically positioned to the position of the browsing category of the browsing category based on networking, meanwhile, historical distribution data of the surrounding crowd of each corresponding browsing category of the browsing category of the browsing category is acquired, and path information of each browsing path is acquired in advance to be selected.

[0014] In an implementation manner of the present application, the step S2 of performing the comprehensive analysis of the browsing based on the browsing angle data and the personnel density data on the browsing angle of each moment of the corresponding browsing category object of each browsing path comprises the following specific steps:

[0015] S21, acquiring the path information of each browsing path set in advance, acquiring the distance data of each point on the path relative to the nearest corresponding browsing category object and the surface position data of the corresponding browsing category object visible in the corresponding visual angle, and the time length data of each position on the surface of the corresponding browsing category object visible on the path, and acquiring the historical personnel density data of each position in the scene, since the browsing is performed, the personnel density in a very short time in the future is replaced by the historical personnel density data of each position in the scene to analyze the blocking of the personnel density in the browsing process, because when browsing, the high personnel density outside the browsing category object will block the line of sight of the personnel, thereby affecting the browsing effect;

[0016] S22, based on the distance data of each point on the path relative to the nearest corresponding browsing category object, the surface position data of the corresponding browsing category object visible in the corresponding visual angle, the personnel density data of each position in the scene, the time length data of each position on the surface of the corresponding browsing category object visible on the path, and analyzing the comprehensive analysis value of each position on the surface of the corresponding browsing category object.

[0017] In this step, the browsing effect of the browsing category object is analyzed by comprehensively analyzing the browsing clarity and blocking of each point on the path to the browsing category object;

[0018] In an implementation manner of the present application, the step S3 of acquiring the fluctuation of the comprehensive analysis result of the browsing of all surface positions of the browsing category object to analyze the overall browsing situation of the browsing category object comprises the following specific steps:

[0019] S31, acquiring the comprehensive analysis value of all surface positions of the browsing category object of the corresponding browsing path, substituting into the average value calculation formula to calculate the average value of the comprehensive analysis of all surface positions of the browsing category object, thereby analyzing the average browsing degree of the browsing category object;

[0020] S32, acquiring the comprehensive analysis value of all surface positions of the browsing category object of the corresponding browsing path and the average value of the comprehensive analysis of all surface positions of the browsing category object, substituting into the fluctuation abnormal value calculation formula to calculate the browsing fluctuation abnormality of the browsing category object;

[0021] S33, set the browsing comprehensive analysis security value of the browsing category object, obtain the deviation value of the browsing comprehensive analysis average value of all surface positions of the browsing category object and the browsing comprehensive analysis security value, and divide the browsing comprehensive analysis security value to obtain the browsing comprehensive analysis standard value of the browsing category object, because if the browsing of one browsing object is too long or too comprehensive, the subsequent browsing time will be wasted, so the security value is used for comparison here;

[0022] S34, obtain the weighted sum of the calculated browsing comprehensive analysis standard value of the browsing category object and the browsing fluctuation anomaly of the browsing category object, and obtain the browsing overall situation analysis result of the browsing category object by taking the reciprocal, and the browsing comprehensive level of the browsing category object is analyzed by comprehensively analyzing the browsing average clear situation and the browsing fluctuation situation of each point of the browsing category object.

[0023] In an implementation manner of the present application, the browsing matching analysis of the browsing path based on the browsing overall situation analysis result of all browsing category objects in step S4 comprises the following specific steps:

[0024] S41, obtain the browsing overall situation analysis result of each browsing category object, and comprehensively analyze the browsing analysis value of the browsing path based on the average situation and the smooth situation of the browsing overall situation analysis result of each browsing category object of the browsing path, wherein the browsing analysis value of the browsing path is calculated in the following manner: the average situation of the browsing overall situation analysis result of each browsing category object of the browsing path is calculated by an average value calculation formula, the smooth situation of the browsing overall situation analysis result of each browsing category object of the browsing path is calculated by the reciprocal form of a variance, a standard deviation or an autocorrelation coefficient formula, and the average situation and the smooth situation of the browsing overall situation analysis result of each browsing category object of the browsing path are weighted and summed to obtain the browsing analysis value of the browsing path;

[0025] S42, simultaneously obtain the experience duration data of the experience personnel, analyze the matching value of the browsing path based on the experience duration data of the experience personnel, the duration data of the browsing path and the browsing analysis value of the browsing path, and the analysis manner of the matching value of the browsing path is as follows: the deviation of the experience duration data of the experience personnel and the duration data of the browsing path is obtained, the reciprocal of the corresponding deviation after standardization is weighted and summed with the browsing analysis value of the browsing path to obtain the matching value of the browsing path.

[0026] In an implementation manner of the present application, the browsing recommendation of the optimal browsing path based on the browsing matching analysis result of the browsing path in step S5 comprises the following specific contents:

[0027] The browsing matching analysis results of the obtained browsing paths are arranged in descending order, and the browsing path corresponding to the largest browsing matching analysis result is set as the optimal browsing path for browsing recommendation. The optimal browsing path is recommended to the experiencer, and the experiencer browses along the corresponding optimal browsing path.

[0028] In a second aspect, the present invention further provides a visual guide design system based on augmented reality technology, comprising:

[0029] The data acquisition module is used to obtain the browsing category information of the experiencer, obtain the location distribution data of the browsed items, and obtain the average density data of people at each location in the historical scene;

[0030] A comprehensive browsing analysis module is used to obtain browsing information of each browsing path and perform comprehensive browsing analysis based on the browsing angle data of the corresponding browsing category items at each moment and the density of people at the browsing angle;

[0031] The overall browsing situation analysis module is used to obtain the fluctuation of the browsing comprehensive analysis results of all surface positions of the browsed items to conduct the overall browsing situation analysis of the browsed items;

[0032] Browsing matching analysis module, which performs browsing matching analysis of browsing paths based on the overall browsing situation analysis results of all browsing categories and items;

[0033] The browsing recommendation module performs browsing matching analysis on browsing paths based on the deviation of browsing time and the overall browsing situation analysis results of all browsing categories and items;

[0034] Display module, used for data input and path display;

[0035] The control module is used to control the operation of the data acquisition module, the browsing comprehensive analysis module, the browsing overall situation analysis module, the browsing matching analysis module, the browsing recommendation module and the display module.

[0036] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a visual guide design method based on augmented reality technology by calling the computer program stored in the memory.

[0037] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute a visual guide design method based on augmented reality technology.

[0038] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0039] The application obtains the browsing information of each browsing path, performs browsing comprehensive analysis based on the browsing angle data and the personnel density data on the browsing angle of each moment of the corresponding browsing category of each browsing path, obtains the fluctuation of the browsing comprehensive analysis result of all surface positions of the browsing category, performs browsing overall situation analysis of the browsing category, performs browsing matching analysis of the browsing path based on the deviation of the browsing time and the browsing overall situation analysis result of all browsing categories, and evaluates the browsing comprehensiveness and uniformity of each browsing path from the perspective of the overall comprehensive browsing of the surface position of the browsing object, so as to evaluate the most suitable browsing route and improve the accuracy of the browsing route recommendation.

[0040] When performing the browsing comprehensive analysis, the application not only comprehensively analyzes the browsing situation of each viewing angle and each position of the browsing category, but also comprehensively analyzes the browsing situation based on the vision information, personnel blocking information and browsing distance information of the browsing personnel, thereby improving the accuracy of the browsing situation analysis of the browsing category. BRIEF DESCRIPTION OF DRAWINGS

[0041] Other features, objects and advantages of the application will become more apparent from the following detailed description of non-limiting embodiments with reference to the attached drawings:

[0042] Figure 1 It is a schematic diagram of the overall process of the method of the application;

[0043] Figure 2 It is a workflow diagram of S3 in the method of the application;

[0044] Figure 3 It is a workflow diagram of S4 in the method of the application;

[0045] Figure 4 It is a schematic diagram of the structure of the system of the application;

[0046] Figure 5 It is a schematic diagram of the scene of the application. DETAILED DESCRIPTION

[0047] The technical solutions of the application will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the embodiments of the application and the specific features in the embodiments are detailed descriptions of the technical solutions of the application, rather than limitations of the technical solutions of the application. In the case of no conflict, the technical features in the embodiments of the application and the embodiments can be combined with each other.

[0048] Embodiment 1

[0049] The present embodiment will be described in detail herein. The present embodiment is applicable to large-scale exhibitions or museums where, due to the large number of visitors, they must take designated transportation (viewing vehicles) along several planned routes or walk to designated exhibition locations. The viewing time is also limited. Paths are planned for visitors who wish to view exhibits of a specified type. A comprehensive browsing analysis is performed based on the browsing angle data and crowd density data at each browsing angle for each browsing path at each moment. Fluctuations in the comprehensive browsing analysis results for all surface locations of the browsed items are analyzed for overall browsing of the items within that category. Browsing matching analysis of browsing paths is performed based on deviations in browsing time and the overall browsing analysis results for all browsed items within that category. This application evaluates the comprehensiveness and uniformity of browsing of each browsing path for the browsed items from the perspective of overall comprehensive browsing of the surface locations of the browsed items, thereby determining the most suitable browsing route and improving the accuracy of browsing route recommendations. Figure 5 This is a schematic diagram of the scenario of this application. The user moves at a constant speed along the browsing path from position A to position B. The browsing effect of the lower left area of ​​the browsing category items is good, while the upper right area is not browsed. This results in a low browsing comprehensive analysis standard value for the overall browsing of the browsing category items;

[0050] like Figures 1 to 3 As shown, this embodiment provides a visual guide design method based on augmented reality technology, which specifically includes the following steps:

[0051] S1. Obtain browsing category information of the experiencer, obtain the location distribution data of the browsed items, and obtain the average density data of people at each location in the historical scene;

[0052] In this embodiment, the method for obtaining the browsing category information of the experiencer is as follows: the browsing person inputs the browsing category item type to be browsed in the virtual device. For example, at various vehicle consumer exhibitions, the browsing person inputs cars as the browsing category item type in the virtual device, and the virtual device is automatically located to the location of the browsing category item type through the network. For example, after the browsing person inputs cars as the browsing category item type in the virtual device, the virtual device is automatically located to the location of various car exhibition areas through the network, and at the same time, the historical distribution data of the surrounding crowds of various corresponding browsing category items of the browsing category item type is obtained, and the path information of each pre-set browsing path is obtained for selection;

[0053] S2. Obtain browsing information for each browsing path, and perform a comprehensive browsing analysis based on the browsing angle data and the density of people at each browsing angle at each moment of the corresponding browsing category items for each browsing path;

[0054] In the embodiment, the step S2 performs the comprehensive analysis of the browsing based on the browsing angle data and the personnel density data on the browsing angle of each moment of the corresponding browsing category item of each browsing path, including the following specific steps:

[0055] S21, acquiring the path information of each browsing path set in advance, acquiring the distance data of each point on the path relative to the nearest corresponding browsing category item and the surface position data of the corresponding browsing category item visible in the corresponding view angle, and the time length data of each position on the surface of the corresponding browsing category item visible on the path, and simultaneously acquiring the historical personnel density data of each position in the scene. In the embodiment, since the browsing is performed, the historical personnel density data of each position in the scene is used to replace the personnel density in a very short time in the future to analyze the blocking of the personnel density during the browsing process. Because when browsing, the high personnel density outside the browsing category item will block the line of sight of the personnel, thereby affecting the browsing effect;

[0056] S22, based on the distance data of each point on the path relative to the nearest corresponding browsing category item, the surface position data of the corresponding browsing category item visible in the corresponding view angle, the personnel density data of each position in the scene, the time length data of each position on the surface of the corresponding browsing category item visible on the path, and analyzing the comprehensive analysis value of each position on the surface of the corresponding browsing category item, wherein the calculation formula of the comprehensive analysis value of the jth position on the surface of the ith browsing category item is: , wherein Ls is the nearest distance at which the browsing personnel can clearly see the item, which can be replaced by the near vision number of the browsing personnel here, that is, the worse the eyesight of the browsing personnel, the smaller the nearest distance at which the browsing personnel can clearly see the item, Lijt is the distance of the corresponding path moving to the jth position on the surface of the ith browsing category item at t moment, dt is the time integral, tijs is the start time of the jth position on the surface of the ith browsing category item visible on the path, tijw is the end time of the jth position on the surface of the ith browsing category item visible on the path, dt is the time integral, Sm is the personnel density safety value, and Sij is the historical average personnel density data of the jth position on the surface of the ith browsing category item;

[0057] In this step, the browsing effect of the browsing category item is comprehensively analyzed by the browsing clarity and blocking of each point on the path to the browsing category item;

[0058] S3, acquiring the fluctuation of the comprehensive analysis result of the browsing of all surface positions of the browsing category item to analyze the overall browsing situation of the browsing category item;

[0059] In the embodiment, the fluctuation of the browsing overall analysis result of the whole surface position of the browsing category article in step S3 is acquired to analyze the browsing overall situation of the browsing category article, including the following specific steps:

[0060] S31, the browsing overall analysis value of the whole surface position of the browsing category article corresponding to the browsing path is acquired, and the average value calculation formula is substituted to calculate the browsing overall analysis average value of the whole surface position of the browsing category article, so as to analyze the average browsing degree situation of the browsing category article;

[0061] S32, the browsing overall analysis value of the whole surface position of the browsing category article corresponding to the browsing path and the browsing overall analysis average value of the whole surface position of the browsing category article are substituted into the fluctuation abnormal value calculation formula to calculate the browsing fluctuation abnormality of the browsing category article, wherein the calculation formula of the browsing fluctuation abnormality of the i-th browsing category article is: Wherein m is the number of surface positions of the i-th browsing category article, and piz is the browsing overall analysis average value of the i-th browsing category article;

[0062] S33, the browsing overall analysis safety value of the browsing category article is set, the deviation value of the browsing overall analysis average value of the whole surface position of the browsing category article and the browsing overall analysis safety value is acquired, and the browsing overall analysis standard value of the browsing category article is obtained by dividing the browsing overall analysis safety value, because if one browsing article is browsed for too long time or too comprehensively, the subsequent browsing time will be wasted, so the safety value comparison method is used here;

[0063] S34, the browsing overall analysis standard value of the browsing category article calculated and the browsing fluctuation abnormality of the browsing category article are weighted and summed to obtain the browsing overall situation analysis result of the browsing category article, and the browsing overall level of the browsing category article is analyzed by comprehensively analyzing the browsing average clarity situation and the browsing fluctuation of each point of the browsing category article;

[0064] S4, the browsing matching analysis of the browsing path is performed based on the deviation of the browsing time and the browsing overall situation analysis result of all browsing category articles;

[0065] In the embodiment, the browsing matching analysis of the browsing path based on the browsing overall situation analysis result of all browsing category articles in step S4 includes the following specific steps:

[0066] S41, obtaining the browsing overall situation analysis result of each browsing category item, and analyzing the browsing analysis value of the browsing path based on the average situation and the stable situation of the browsing overall situation analysis result of each browsing category item of the browsing path, wherein the browsing analysis value of the browsing path is calculated in the following manner: the average situation of the browsing overall situation analysis result of each browsing category item of the browsing path is calculated by an average value calculation formula, the stable situation of the browsing overall situation analysis result of each browsing category item of the browsing path is calculated by a reciprocal form of a variance, a standard deviation or an autocorrelation coefficient formula, and the average situation and the stable situation of the browsing overall situation analysis result of each browsing category item of the browsing path are weighted and summed to obtain the browsing analysis value of the browsing path;

[0067] S42, obtaining the experience duration data acceptable to the experience personnel, and analyzing the matching value of the browsing path based on the experience duration data acceptable to the experience personnel, the duration data of the browsing path and the browsing analysis value of the browsing path, wherein the matching value of the browsing path is analyzed in the following manner: the deviation situation of the experience duration data acceptable to the experience personnel and the duration data of the browsing path is obtained, the reciprocal of the corresponding deviation situation after standardization is weighted and summed with the browsing analysis value of the browsing path to obtain the matching value of the browsing path;

[0068] S5, selecting the optimal browsing path based on the browsing matching analysis result of the browsing path for browsing recommendation;

[0069] In the embodiment, the optimal browsing path is selected based on the browsing matching analysis result of the browsing path in step S5 for browsing recommendation, which includes the following specific contents:

[0070] The browsing matching analysis result of the browsing path is arranged in descending order, the browsing path corresponding to the maximum browsing matching analysis result is obtained as the optimal browsing path for browsing recommendation, the optimal browsing path is recommended to the experience personnel, and the experience personnel browses along the corresponding optimal browsing path.

[0071] It should be noted in the embodiment that the acquisition method of the setting parameters (such as the weighting weights and the safety value) in the embodiment is obtained by experiments of those skilled in the art, and the specific experimental method is as follows: the browsing category information of the historical experience personnel is obtained, the position distribution data of the browsing category item is obtained, the average density data of the personnel in each position in the historical scene is obtained, and the setting parameters are obtained by substituting the optimal browsing path in each step of the embodiment, the browsing degree evaluation result of the personnel on various paths is obtained, the setting parameters are output by importing the fitting software based on the browsing degree evaluation result of the personnel on various paths and the optimal browsing path, and the value of the setting parameters meeting the maximum evaluation sorting accuracy rate is output.

[0072] It should be noted that the embodiment has the following advantages: the browsing information of each browsing path is obtained, the browsing comprehensive analysis is performed based on the browsing angle data and the personnel density data on the browsing angle of each moment of the corresponding browsing category of each browsing path, the fluctuation of the browsing comprehensive analysis result of all surface positions of the browsing category is obtained, the browsing overall situation analysis of the browsing category is performed, the browsing matching analysis of the browsing path is performed based on the deviation of the browsing time and the browsing overall situation analysis result of all browsing categories, the overall comprehensive browsing of the surface position of the browsing article is considered, the browsing comprehensive and uniformity of each browsing path to the browsing article is evaluated, the most suitable browsing route is evaluated, the accuracy of the browsing route recommendation is improved, and when the browsing comprehensive analysis is performed, the browsing situation is comprehensively analyzed based on the vision information, the personnel blocking information and the browsing distance information of the browsing personnel in addition to the browsing situation analysis of each position and each angle of the browsing category, and the accuracy of the browsing situation analysis of the browsing category is improved.

[0073] Embodiment 2

[0074] As shown in Figure 4 , the embodiment provides a visual guide design system based on augmented reality technology, comprising:

[0075] A data acquisition module is configured to acquire browsing category information of an experience personnel, acquire position distribution data of a browsing category article, and acquire average density data of personnel at each position in a historical scene.

[0076] A browsing comprehensive analysis module is configured to acquire browsing information of each browsing path, and perform browsing comprehensive analysis based on browsing angle data and personnel density data on the browsing angle of each moment of the corresponding browsing category of each browsing path.

[0077] A browsing overall situation analysis module is configured to acquire the fluctuation of the browsing comprehensive analysis result of all surface positions of the browsing category, and perform browsing overall situation analysis of the browsing category.

[0078] A browsing matching analysis module is configured to perform browsing matching analysis of the browsing path based on the browsing overall situation analysis result of all browsing categories.

[0079] A browsing recommendation module is configured to perform browsing matching analysis of the browsing path based on the deviation of the browsing time and the browsing overall situation analysis result of all browsing categories.

[0080] A display module is configured to input data and display paths.

[0081] The control module is configured to control the operation of the data acquisition module, the browsing overall analysis module, the browsing overall situation analysis module, the browsing matching analysis module, the browsing recommendation module, and the display module.

[0082] The steps of implementing the respective functions of the parameters and the unit modules in the visual guide design system based on the augmented reality technology and the respective roles can refer to the parameters and the steps in the embodiments of the visual guide design method based on the augmented reality technology, which will not be described here in detail.

[0083] Embodiment 3

[0084] The electronic device provided in the embodiment of the present application comprises a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the visual guide design method based on the augmented reality technology by calling the computer program stored in the memory. It should be noted that all the computer programs of the visual guide design method based on the augmented reality technology are implemented by using C language, wherein the data acquisition module, the pollution intrusion degree analysis module, the damage degree analysis module, the pollution diffusion degree analysis module, the pollution risk assessment module, the book processing warning module, and the control module are all controlled by a remote server.

[0085] Embodiment 4

[0086] The embodiment provides a computer readable storage medium, which stores an erasable computer program.

[0087] When the computer program runs on the computer device, the computer device executes the visual guide design method based on the augmented reality technology.

[0088] Each embodiment in the present application is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. In particular, the Internet of Things device and medium embodiment are basically similar to the method embodiment, so the description is relatively simple, and the relevant parts can refer to the description of the method embodiment.

[0089] The system and medium provided in the embodiment of the present application are one-to-one corresponding to the method, so the system and medium also have similar beneficial technical effects to the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be described here.

[0090] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk memory, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0091] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams.

[0092] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams.

[0093] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0094] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory, non-volatile memory, such as read-only memory (ROM) or flash memory, etc. The memory is an example of computer readable media.

[0095] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0096] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or apparatus that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0097] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the scope of claims of the present application.

Claims

1. A visual guide design method based on augmented reality technology, characterized in that: The steps include: Obtain browsing category information of the experiencer, obtain location distribution data of browsing category items, where browsing category items are items corresponding to the browsing category information, and obtain average density data of people at each location in the historical scene; Obtain browsing information for each browsing path, and conduct a comprehensive browsing analysis based on the browsing angle data and the density of people at each browsing angle at each moment for the corresponding browsing category items in each browsing path; Obtain fluctuations in browsing comprehensive analysis results of all surface locations of browsed items to perform overall browsing analysis of browsed items; Browsing path matching analysis is performed based on the deviation of browsing time and the overall browsing analysis results of all browsing categories. The deviation of browsing time refers to the deviation between the acceptable experience time data of the experiencer and the browsing path duration data; Based on the browsing matching analysis results of the browsing path, the optimal browsing path is selected for browsing recommendation.

2. The visual guide design method based on augmented reality technology according to claim 1 is characterized in that: The comprehensive browsing analysis based on the browsing angle data and the density of people at each browsing angle corresponding to each browsing category of each browsing path at each moment includes the following specific steps: Obtain path information for each pre-set browsing path, obtain the distance data of each point on the path to the nearest item of the corresponding browsing category, the surface position data of the item of the corresponding browsing category visible from the corresponding viewing angle, and the duration data of each surface position on the path that the item of the corresponding browsing category is visible, and simultaneously obtain the historical population density data of each location in the scene; Based on the distance data of the nearest corresponding browsing category items at each point on the path, the surface position data of the corresponding browsing category items that can be seen from the corresponding perspective, the population density data of each position in the scene, and the time data of each surface position on the path that can see the corresponding browsing category items, the comprehensive browsing analysis value of each surface position of the corresponding browsing category items is analyzed.

3. The visual guide design method based on augmented reality technology according to claim 2 is characterized in that: The method of obtaining fluctuations in the browsing comprehensive analysis results of all surface positions of items of the browsed category to analyze the overall browsing situation of the items of the browsed category includes the following specific steps: Obtain the browsing comprehensive analysis value of all surface positions of the browsing category items corresponding to the browsing path, and substitute it into the average value calculation formula to calculate the browsing comprehensive analysis average value of all surface positions of the browsing category items; Obtain the browsing comprehensive analysis value of all surface positions of the browsing category items of the corresponding browsing path and the browsing comprehensive analysis average value of all surface positions of the browsing category items, and substitute them into the fluctuation abnormality calculation formula to calculate the browsing fluctuation abnormality of the browsing category items; Set a browsing comprehensive analysis safety value for browsing category items, obtain the browsing comprehensive analysis average value of all surface positions of browsing category items and the deviation value of the browsing comprehensive analysis and divide it by the browsing comprehensive analysis safety value to obtain the browsing comprehensive analysis standard value for browsing category items; Obtain the calculated browsing comprehensive analysis standard value of the browsing category items and the browsing fluctuation anomaly of the browsing category items, perform weighted summation, and then calculate the inverse to obtain the overall browsing analysis result of the browsing category items.

4. The visual guide design method based on augmented reality technology according to claim 3 is characterized in that: The browsing matching analysis of the browsing path based on the deviation of the browsing time and the overall browsing analysis results of all browsing categories of items includes the following specific steps: Obtaining the overall browsing situation analysis results of each browsing category of items, and comprehensively analyzing the browsing analysis value of the browsing path based on the average and stable conditions of the overall browsing situation analysis results of each browsing category of items in the browsing path; At the same time, the acceptable experience time data of the experiencer is obtained, and the matching value of the browsing path is analyzed based on the acceptable experience time data of the experiencer, the duration data of the browsing path, and the browsing analysis value of the browsing path.

5. The visual guide design method based on augmented reality technology according to claim 4 is characterized in that: The selection of the optimal browsing path for browsing recommendation based on the browsing matching analysis result of the browsing path includes the following specific contents: The browsing matching analysis results of the obtained browsing paths are arranged in descending order, and the browsing path corresponding to the largest browsing matching analysis result is set as the optimal browsing path for browsing recommendation. The optimal browsing path is recommended to the experiencer, and the experiencer browses along the corresponding optimal browsing path.

6. The visual guide design method based on augmented reality technology according to claim 5 is characterized in that: The browsing analysis value of the browsing path is calculated as follows: the average of the overall browsing analysis results of each browsing category of items in the browsing path is calculated using the average value calculation formula, the stability of the overall browsing analysis results of each browsing category of items in the browsing path is calculated using the inverse form of the variance, standard deviation or autocorrelation coefficient formula, and the average and stability of the overall browsing analysis results of each browsing category of items in the browsing path are weightedly summed to obtain the browsing analysis value of the browsing path.

7. The visual guide design method based on augmented reality technology according to claim 6 is characterized in that: The matching value of the browsing path is analyzed by obtaining the deviation between the acceptable experience duration data of the experiencer and the duration data of the browsing path, and performing a weighted sum of the normalized inverse of the corresponding deviation obtained and the browsing analysis value of the browsing path to obtain the matching value of the browsing path.

8. The visual guide design method based on augmented reality technology according to claim 7, characterized in that: The method for obtaining the browsing category information of the experiencer is: the browsing person enters the browsing category item type to be browsed in the virtual device, and the virtual device automatically locates the location of the browsing category item type through the network, and at the same time obtains the historical distribution data of the surrounding people of various corresponding browsing category items of the browsing category item type, and obtains the path information of each pre-set browsing path for selection.

9. A visual guide design system based on augmented reality technology, which is implemented based on the visual guide design method based on augmented reality technology according to any one of claims 1 to 8, characterized in that: The system comprises: The data acquisition module is used to obtain the browsing category information of the experiencer and the location distribution data of the browsed category items, wherein the browsed category items are the items corresponding to the browsed category information, and the average density data of people at each location in the historical scene; A comprehensive browsing analysis module is used to obtain browsing information of each browsing path and perform comprehensive browsing analysis based on the browsing angle data of the corresponding browsing category items at each moment and the density of people at the browsing angle; The overall browsing situation analysis module is used to obtain the fluctuation of the browsing comprehensive analysis results of all surface positions of the browsed items to conduct the overall browsing situation analysis of the browsed items; Browsing matching analysis module, which performs browsing matching analysis of browsing paths based on the overall browsing situation analysis results of all browsing categories and items; The browsing recommendation module performs browsing matching analysis on browsing paths based on the deviation of browsing time and the overall browsing situation analysis results of all browsing categories. The deviation of browsing time refers to the deviation between the acceptable experience time data of the experiencer and the duration data of the browsing path. Display module, used for data input and path display; The control module is used to control the operation of the data acquisition module, the browsing comprehensive analysis module, the browsing overall situation analysis module, the browsing matching analysis module, the browsing recommendation module and the display module.

10. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the visual guide design method based on augmented reality technology as described in any one of claims 1 to 8 by calling the computer program stored in the memory.

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