Mobile phone artificial intelligence tour guide explanation system

Abstract

The invention discloses a mobile phone artificial intelligence tour guide explanation system, which relates to the technical field of tour guide, and comprises a scenic spot search module used for searching scenic spot information throughout the country, and a user can search scenic spots needing to be visited through the module; the big data intelligent processing module automatically generates explanation content of a corresponding scenic spot by using an artificial intelligence algorithm, the voice selection module provides diversified voice types for a user to freely select and switch, the scanning explanation module has a scanning introduction character recognition function, and the voice requirement explanation module realizes voice interactive explanation service; the character input explanation module inputs content in a character form to generate personalized explanation content; the positioning module is used for acquiring the geographic position of a user in real time. According to the invention, intelligent voice explanation is realized, and different voice types can be selected according to user requirements; a user can quickly obtain detailed explanation by asking questions through voices or characters anytime and anywhere without complex operation.

Description

Technical Field

[0001] The present invention relates to the technical field of tour guides, and in particular to a mobile phone artificial intelligence tour guide interpretation system. Background Art

[0002] As people's living standards improve, travel becomes more frequent. Traditional tour guides have many limitations, such as high cost and limited number of manual tour guides, which cannot meet the needs of a large number of tourists; the content of the tour guides is relatively fixed and lacks personalization; the pre-recorded voice commentary cannot update information in real time and cannot meet the diverse inquiry needs of tourists.

[0003] Therefore, a convenient, intelligent and personalized mobile phone tour guide interpretation system has become an urgent problem to be solved. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a mobile phone artificial intelligence tour guide interpretation system, which realizes intelligent voice interpretation and can select different voice types according to user needs.

[0005] In order to solve the above technical problems, the present invention provides a technical solution: a mobile phone artificial intelligence tour guide interpretation system, comprising:

[0006] The scenic spot search module is used to search for scenic spot information across the country, so that users can find the scenic spots they want to visit through this module;

[0007] The big data intelligent processing module is connected to the scenic spot search module, and uses artificial intelligence algorithms to automatically generate explanations for the corresponding scenic spots. According to multi-dimensional information such as scenic spot characteristics, historical data, and tourists' common problems, the preset intelligent analysis formula is used: I = ∑ i (W i ×M i )(where I represents the degree of information fusion, i represents information of different dimensions, and W i The weights associated with each dimension of information are pre-set based on the importance of each dimension of different types of scenic spots according to big data analysis. i It is the degree of information matching, which is calculated by comparing the text semantic analysis algorithm with the scenic spot database, and comprehensively generates targeted and real-time updated interpretation content;

[0008] A voice selection module is connected to the big data intelligent processing module and provides a variety of voice types for users to freely choose and switch to meet the preferences of different users for commentary voices;

[0009] The scanning explanation module has the function of scanning introduction text recognition. Through optical character recognition technology (OCR), the scanned scenic spot text information is quickly converted into editable text data and input into the big data intelligent processing module to assist it in generating more accurate explanation content. The recognition accuracy calculation formula of this module is: (Accuracy represents the accuracy, C r To correctly identify the number of characters, C t is the total number of scanned characters);

[0010] Voice request interpretation module, the user triggers this module through voice command to convey the interpretation demand to the system. After receiving the command, the system quickly calls the big data intelligent processing module and voice selection module to realize voice interactive interpretation service;

[0011] The text input explanation module allows users to input questions or concerns about the scenic spot in text form, which are also input into the big data intelligent processing module to generate personalized explanation content;

[0012] The positioning module is used to obtain the user's geographical location in real time, and combines with geographic information system (GIS) technology to automatically match surrounding attractions. When the user approaches the attraction, the big data intelligent processing module is automatically triggered to start working.

[0013] Furthermore, it also includes a dialect interpretation module, which is an extended function of the voice selection module. It has built-in multiple dialect voice packages. By calling a specific dialect voice model and based on the interpretation text output by the big data intelligent processing module, it realizes interpretation in dialect, allowing users from different regions to feel the language atmosphere of their hometown.

[0014] Furthermore, the artificial intelligence algorithm in the big data intelligent processing module continuously self-learns and optimizes by collecting user feedback information and using the feedback to adjust the formula:

[0015]

[0016] Optimize and adjust the subsequent generated commentary content;

[0017] Among them, IC represents the improvement coefficient, j represents different feedback types, and F i is the weight of the feedback type, which is pre-set according to the impact of different feedback on the quality of the explanation. j It is the corresponding feedback score, which is determined by the user's scoring or the system's preset evaluation criteria.

[0018] Furthermore, the scanning interpretation module automatically starts the image enhancement algorithm in a low-light environment to improve the clarity of the scanned text and ensure the accuracy of text recognition. The image enhancement effect evaluation formula is:

[0019]

[0020] Among them, EEV represents the enhancement evaluation value, ICI a ICI is the image clarity index after enhancement. b In order to enhance the clarity index of the front image, the image clarity index is calculated by edge detection algorithm and grayscale variance.

[0021] Furthermore, the scenic spot search module intelligently recommends popular scenic spots or surrounding scenic spots based on the user's historical browsing records and geographical location information.

[0022] Furthermore, the voice types of the speech synthesis module include human voices of different genders and ages and characteristic voices of cartoon sound effects.

[0023] The advantages of the present invention compared with the prior art are:

[0024] 1. The scenic spot search module uses multi-source data fusion and intelligent screening algorithms to allow users to quickly and accurately find their favorite scenic spots, saving a lot of search time. The voice request interpretation module and the text input interpretation module provide a variety of interactive methods. Users can quickly get detailed explanations anytime and anywhere by voice or text questions without complicated operations. It is especially suitable for users who are inconvenient to input manually or have poor eyesight, making the tour process smoother and more comfortable.

[0025] 2. The big data intelligent processing module is connected to the authoritative academic database to ensure the depth and reliability of the interpretation information and improve the adaptability and accuracy of the system. The scanning interpretation module optimizes the OCR algorithm and the multiple image enhancement technology in low-light environments to ensure that text information can be accurately recognized in various complex environments, such as the dimly lit interior of ancient buildings and beside ancient inscriptions with mottled handwriting, providing accurate materials for the generation of interpretation content, so that tourists will not miss any important details.

[0026] 3. The deep neural network feedback learning model of the big data intelligent processing module continuously explores potential needs based on tourist feedback and automatically optimizes the interpretation content. As the number of users increases and feedback accumulates, the system will become more and more in line with tourists' preferences and provide unique personalized tour guide services. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The present invention is a system block diagram of a mobile phone artificial intelligence tour guide interpretation system. DETAILED DESCRIPTION

[0028] The following is a further detailed description of a mobile phone artificial intelligence tour guide interpretation system of the present invention in conjunction with the accompanying drawings.

[0029] Combined with Figure 1, the present invention is introduced in detail.

[0030] A mobile phone artificial intelligence tour guide interpretation system mainly consists of a scenic spot search module, a big data intelligent processing module, a voice selection module, a scanning interpretation module, a voice request interpretation module, a text input interpretation module, a positioning module and a dialect interpretation module.

[0031] The scenic spot search module relies on a powerful network database, integrates resources such as major tourism platforms and official tourism websites, and establishes a national scenic spot information index. Users can quickly and accurately locate the target scenic spot by entering keywords or geographical locations. On this basis, it adopts multi-source data fusion technology, introduces emerging data such as sharing of popular tourist check-in spots on social media and recommendations from niche tourism bloggers, and uses intelligent screening algorithms to prioritize the push of highly relevant scenic spots based on users' historical search records, browsing preferences, and geographical location information.

[0032] The big data intelligent processing module is the core of the system, using artificial intelligence technologies such as deep learning to build a knowledge graph. For historical sites, information is captured from the dimensions of historical dynasties, character stories, and architectural features; for natural scenery, the focus is on geological features, ecological species, and legends. i (W i ×M i ) formula organically integrates information from different dimensions to generate comprehensive and unique interpretation content. At the same time, it accesses authoritative academic databases, screens and integrates information, and introduces sentiment analysis modules to adjust the interpretation style based on tourists' emotional intelligence.

[0033] The voice selection module has built-in common languages ​​such as Mandarin, English, and Japanese, as well as different styles of voices such as gentle female voices and calm male voices, and also includes voice packages for various local dialects. A new celebrity voice imitation function has been added, which uses deep learning speech synthesis technology to simulate the voices of well-known celebrities, supports user-defined voice parameters, and meets users' personalized hearing needs.

[0034] The scanning interpretation module integrates advanced OCR technology. The mobile phone camera scans the text information such as the signboards and introduction brochures of the scenic spots. After the converted text is cleaned and error-corrected, it provides supplementary materials for the big data intelligent processing module. Formulas ensure recognition accuracy. For complex backgrounds, blurred handwriting, etc., the OCR algorithm is optimized and an image preprocessing model based on deep learning is adopted; in low-light environments, infrared fill light technology and image super-resolution reconstruction algorithm are combined to improve the clarity of scanned text.

[0035] The scanning interpretation module automatically starts the image enhancement algorithm in a low-light environment to improve the clarity of the scanned text and ensure the accuracy of text recognition. The image enhancement effect evaluation formula is:

[0036] Develop an adaptive adjustment mechanism for the image enhancement algorithm, automatically select the optimal image enhancement strategy combination according to different low light levels and text materials (such as wooden plaques, metal signs, etc.), and dynamically adjust the algorithm parameters to achieve the best text recognition effect. At the same time, establish a correlation model between image enhancement effect and text recognition accuracy: ARA = ∑ n (G n ×H n ), where ARA represents the association between image enhancement and recognition, n represents different image enhancement strategies, G n is the contribution weight of each strategy to image enhancement, which is pre-set according to experimental data. n It is the factor that improves the text recognition accuracy under the corresponding strategy. It is determined through comparative testing and the image enhancement algorithm is continuously optimized by monitoring the correlation.

[0037] The voice request explanation module uses voice recognition technology to convert the user's voice instructions into text instructions, and connects with the big data intelligent processing module to achieve instant voice interactive explanation. Expand the voice command function, support multi-round voice dialogue interaction, use adaptive learning algorithms to optimize the voice recognition model, reduce the misrecognition rate, and improve the interaction fluency.

[0038] The text input explanation module sets up an input box in the interface to facilitate users to type questions and drive the big data intelligent processing module to give targeted answers. Add the intelligent association function. When the user enters some keywords, the system automatically associates related hot questions and knowledge expansion points, establishes a user question feedback library, and improves the efficiency of answering.

[0039] The positioning module combines the mobile phone's built-in GPS function with base station positioning technology to track the user's location in real time, and automatically matches surrounding attractions with geographic information system (GIS) technology. It integrates indoor positioning technology to improve positioning accuracy, connects with the scenic spot ticketing system, caches the interpretation content in advance, and realizes seamless interpretation service.

[0040] The dialect interpretation module calls the dialect speech synthesis model for users who need to use dialects, and converts the interpretation text into dialect speech output. The dialect database is continuously updated, and local cultural research institutions are cooperated to incorporate characteristic cultural elements, so that the dialect interpretation can show the charm of regional culture.

[0041] The specific implementation process of the mobile phone artificial intelligence tour guide interpretation system of the present invention is as follows:

[0042] 1. Software development: Use mainstream mobile development platforms, such as Android or iOS development tools, to build a system framework. Use the system interface generation module to develop the functional code of each module; for the big data intelligent processing module, access the well-known artificial intelligence development framework to train customized models; the voice selection module integrates a professional speech synthesis engine.

[0043] 2. Data collection: A professional team was formed to collect information on national scenic spots, including text introductions, historical documents, and voice materials, etc., to build an initial scenic spot database, and to update and maintain it regularly. At the same time, multi-source data such as social media and travel bloggers were collected for optimization of the scenic spot search module; celebrity voice materials were collected for expansion of the voice selection module.

[0044] 3. Test optimization: Invite users of different ages, regions, and travel habits to conduct field tests, collect usage feedback, and use IC=∑ j (F i ×S j ) formula to optimize and improve system performance, accuracy of commentary content, voice effects, etc., to ensure stable and efficient operation of the system and meet diverse tourism needs. At the same time, according to ARA=∑ n (G n ×H n ) formula continuously optimizes the image enhancement algorithm and improves the performance of the scanning interpretation module.

[0045] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A mobile phone artificial intelligence tour guide interpretation system, characterized by: include The scenic spot search module is used to search for scenic spot information across the country; The big data intelligent processing module is connected to the scenic spot search module, and uses artificial intelligence algorithms to automatically generate explanation content for the corresponding scenic spots. According to the multi-dimensional information of scenic spot characteristics, historical data, and common questions of tourists, the module uses a preset intelligent analysis formula: Comprehensively generate targeted and real-time updated commentary content; where I represents the degree of information fusion, i represents information of different dimensions, and W i The weights associated with each dimension of information are pre-set based on the importance of each dimension of different types of scenic spots according to big data analysis. i It is the degree of matching of corresponding information, which is calculated by comparing the text semantic analysis algorithm with the scenic spot database; The voice selection module is connected to the big data intelligent processing module to provide a variety of voice types for users to freely choose and switch; The scanning interpretation module quickly converts the scanned scenic spot text information into editable text data through optical character recognition, and inputs it into the big data intelligent processing module to assist it in generating more accurate interpretation content; the scanning interpretation module recognition accuracy calculation formula is: Among them, Accuracy represents the accuracy, C r To correctly identify the number of characters, C t is the total number of scanned characters; The voice request interpretation module is used to receive the user's voice and conduct voice interactive interpretation in combination with the big data intelligent processing module and the voice selection module; The text input explanation module is used to input query information and transmit it to the big data intelligent processing module, which generates personalized explanation content; The positioning module is used to obtain the user's geographical location in real time, automatically match the surrounding attractions in combination with the geographic information system, and automatically trigger the big data intelligent processing module to start working when the user approaches the attraction.

2. A mobile phone artificial intelligence tour guide interpretation system according to claim 1, characterized in that: It also includes a dialect interpretation module with built-in voice packages of multiple dialects. It provides interpretation in dialect by calling a specific dialect voice model and based on the interpretation text output by the big data intelligent processing module.

3. A mobile phone artificial intelligence tour guide interpretation system according to claim 2, characterized in that: The artificial intelligence algorithm in the big data intelligent processing module continuously self-learns and optimizes by collecting user feedback information and using the feedback to adjust the formula: Optimize and adjust the subsequent generated commentary content; Among them, IC represents the improvement coefficient, j represents different feedback types, and F i is the weight of the feedback type, which is pre-set according to the impact of different feedback on the quality of the explanation. j It is the corresponding feedback score, which is determined by the user's scoring or the system's preset evaluation criteria.

4. A mobile phone artificial intelligence tour guide interpretation system according to claim 3, characterized in that: The scanning interpretation module automatically starts the image enhancement algorithm in a low-light environment to improve the clarity of the scanned text and ensure the accuracy of text recognition. The image enhancement effect evaluation formula is: Among them, EEV represents the enhancement evaluation value, ICI a ICI is the image clarity index after enhancement. b In order to enhance the clarity index of the front image, the image clarity index is calculated by edge detection algorithm and grayscale variance.

5. The mobile phone artificial intelligence tour guide interpretation system according to claim 1, characterized in that: The scenic spot search module intelligently recommends popular scenic spots or surrounding scenic spots based on the user's historical browsing records and geographical location information.

6. The mobile phone artificial intelligence tour guide interpretation system according to claim 1, characterized in that: The voice types of the speech synthesis module include human voices of different genders and ages and characteristic voices of cartoon sound effects.

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