An intelligent point-reading method, device, equipment and computer storage medium

Abstract

The application provides an intelligent reading method, an intelligent reading device, an intelligent reading equipment and a computer storage medium. The intelligent reading method comprises the following steps: in response to a story mode instruction, acquiring at least one reading data; acquiring a reading template of a corresponding type based on the reading data; fusing the reading data and the reading template according to a preset rule to generate reading prompt information; inputting the reading prompt information into a large language model to acquire intelligent reading content; and outputting the intelligent reading content. Through the above intelligent reading method, the user is guided to interact with the reading material, and the intelligent reading content is generated according to the interactive reading material of the user; by introducing the large language model, a large amount of rich intelligent reading content is generated, the interestingness and interactivity of the intelligent reading product are greatly improved, and the intelligent reading experience of the user is enriched.

Description

Technical Field

[0001] This application relates to the field of intelligent interactive technology, and in particular to an intelligent reading method, an intelligent reading device, an intelligent reading equipment, and a computer storage medium. Background Technology

[0002] Traditional point-and-read technology primarily uses devices such as point-and-read pens or readers to recognize books or cards with specific codes, thereby playing pre-recorded audio content, such as science introductions. This traditional point-and-read solution only supports outputting preset audio content; users click on specific locations on paper materials or electronic screens using the point-and-read device, and the device recognizes the click and plays the preset audio.

[0003] Traditional interactive reading solutions can only provide preset content, such as science introductions, lacking fun and interactivity, and failing to attract the sustained attention of users, especially children. These solutions are limited to playing fixed audio content and cannot provide personalized feedback and interaction based on user behavior, thus failing to meet users' needs for diverse experiences. Furthermore, while the preset audio content may have some educational value, its scope is limited, failing to expand knowledge or stimulate children's imagination and creativity, thus having a limited impact on the development of children's overall abilities. Summary of the Invention

[0004] To address the aforementioned technical problems, this application proposes an intelligent reading method, an intelligent reading device, an intelligent reading equipment, and a computer storage medium.

[0005] To address the aforementioned technical problems, this application proposes an intelligent point-and-read method, which includes:

[0006] In response to a story mode command, retrieve at least one read data point;

[0007] Based on the reading data, obtain the corresponding type of reading template;

[0008] The reading data and the reading template are merged according to preset rules to generate reading prompt information;

[0009] Input the reading prompt information into the large language model to obtain intelligent reading content;

[0010] Output the intelligent reading content.

[0011] The step of obtaining at least one point-reading data in response to a story mode command includes:

[0012] In response to the story mode command, the first reading guide content is output;

[0013] After obtaining the first reading data, continue to output the second reading guidance content;

[0014] After obtaining the second reading data, continue to output the third reading guidance content;

[0015] If no third reading data is acquired within a preset time period after the third reading guidance content is output, or if the number of reading data reaches a preset number, the acquisition of reading data is stopped.

[0016] The step of continuing to output third reading guidance content after acquiring the second reading data includes:

[0017] Obtain the read content types of the first and second read data points;

[0018] Based on the preset content type and the read content type, obtain the unread content type;

[0019] The third reading guidance content is output according to the type of unread content.

[0020] After acquiring the first reading data, the second reading guidance content is output, including:

[0021] Obtain the type of read content of the first point of data;

[0022] The second reading guidance content is output according to the type of content already read.

[0023] The step of obtaining the corresponding type of point-reading template based on the point-reading data includes:

[0024] Based on the content type of the reading data, a reading template is obtained, wherein the reading template includes background resources, character settings, and main storyline.

[0025] The step of fusing the reading data with the reading template according to preset rules to generate reading prompt information includes:

[0026] The target reading data in the reading data is integrated with the character settings and the main storyline to generate protagonist content and mission content;

[0027] Other reading data in the reading data are used to generate auxiliary content according to the background resources;

[0028] The background resources, the main character content, the auxiliary content, and the task content are combined to generate the reading prompt information.

[0029] The step of obtaining the reading template based on the content type of the reading data includes:

[0030] The step of generating auxiliary content from other point-reading data in the point-reading data according to the background resource includes:

[0031] The other reading data with the same content type as the target reading data are used to generate supporting content according to the background resources;

[0032] The reading data of different content types from the target reading data are used to generate background content or prop content according to the background resource.

[0033] The intelligent point-reading method further includes:

[0034] The first read data or the read data with the most reads is identified as the target read data.

[0035] To address the aforementioned technical problems, this application also proposes an intelligent reading device, comprising: a reading module, an acquisition module, a fusion module, a generation module, and an output module; wherein,

[0036] The point-reading module is used to obtain at least one point-reading data in response to a story mode command;

[0037] The acquisition module is used to acquire a corresponding type of reading template based on the reading data;

[0038] The fusion module is used to fuse the reading data with the reading template according to preset rules to generate reading prompt information;

[0039] The generation module is used to input the point-reading prompt information into the large language model to obtain intelligent point-reading content;

[0040] The output module is used to output the intelligent reading content.

[0041] To address the aforementioned technical problems, this application also proposes an intelligent reading device, which includes a memory and a processor coupled to the memory; wherein the memory is used to store program data, and the processor is used to execute the program data to implement the intelligent reading method as described above.

[0042] To address the aforementioned technical problems, this application also proposes a computer storage medium for storing program data, which, when executed by a computer, is used to implement the aforementioned intelligent point-and-read method.

[0043] Compared with existing technologies, the beneficial effects of this application are as follows: the intelligent reading device responds to story mode commands by acquiring at least one reading data point; acquires a corresponding type of reading template based on the reading data; merges the reading data and the reading template according to preset rules to generate reading prompt information; inputs the reading prompt information into a large language model to obtain intelligent reading content; and outputs the intelligent reading content. Through the above intelligent reading method, users are guided to interact with reading materials, and intelligent reading content is generated based on the user's interactive reading materials. By introducing a large language model, a large amount of rich intelligent reading content is generated, greatly improving the fun and interactivity of intelligent reading products and enriching the user's intelligent reading experience. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] in:

[0046] Figure 1 This is a flowchart illustrating an embodiment of the intelligent point-reading method provided in this application;

[0047] Figure 2 This is a schematic diagram of the overall process of the intelligent point-reading method provided in this application;

[0048] Figure 3 This is a flowchart illustrating an embodiment of the intelligent point-and-read scenario provided in this application;

[0049] Figure 4 yes Figure 1 The diagram shows the detailed process flow of step S11 in the intelligent point-reading method.

[0050] Figure 5 This is a schematic diagram of the structure of an embodiment of the intelligent reading device provided in this application;

[0051] Figure 6 This is a schematic diagram of the structure of an embodiment of the intelligent reading device provided in this application;

[0052] Figure 7 This is a schematic diagram of the structure of an embodiment of the computer storage medium provided in this application. Detailed Implementation

[0053] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0054] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0055] Please refer to the details. Figure 1 and Figure 2 , Figure 1 This is a flowchart illustrating an embodiment of the intelligent point-reading method provided in this application. Figure 2 This is a schematic diagram of the overall process of the intelligent point-reading method provided in this application.

[0056] The intelligent reading method of this application is applied to an intelligent reading device, wherein the intelligent reading device can be a server, a terminal device, or a system in which the server and the terminal device cooperate with each other. Accordingly, the various parts of the intelligent reading device, such as various units, sub-units, modules, and sub-modules, can all be set in the server, all in the terminal device, or separately in the server and the terminal device.

[0057] Furthermore, the aforementioned server can be either hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When the server is software, it can be implemented as multiple software programs or software modules, such as software or software modules used to provide distributed server functionality, or as a single software program or software module; no specific limitations are made here.

[0058] Specifically, the intelligent reading device of this application has vision and speech recognition modules, which can recognize content on two-dimensional planar materials (such as paper products and electronic screens). The intelligent device hardware connects to cloud services through a communication module, and interfaces with self-developed algorithm models, speech synthesis models, and customized trained artificial intelligence open-ended story generation models.

[0059] Two-dimensional materials include, but are not limited to: text, graphics, images, and other materials printed on paper products and displayed on electronic screens.

[0060] Two-dimensional materials use text, graphics, and visuals to represent general knowledge materials from various fields, including natural sciences, humanities, history, and daily life, in a two-dimensional, concrete way. These materials are divided into different themes, such as animals, plants, historical sites, outer space, and the human body. Each theme has different game rules and processes, and each material within a theme is given a distinct character setting and main quest, forming a digital content library. Through self-developed models, the game rules and processes, character settings, and main quests are digitized, and by running the models, open-ended interactive games are realized.

[0061] It should be noted that the intelligent point-reading method of this application is also applicable to three-dimensional objects. In this case, any plane on the three-dimensional object can provide two-dimensional plane material for point-reading.

[0062] like Figure 1 As shown, the specific steps are as follows:

[0063] Step S11: In response to a story mode command, acquire at least one reading data.

[0064] In this embodiment, when a user activates the smart reading device, the device initializes its smart reading interaction function. When the user places the smart reading device on story mode material, the device generates story mode instructions and, based on these instructions, retrieves the reading data corresponding to the user's reading actions within subsequent timeframes.

[0065] In one specific implementation, the intelligent reading device prompts the user to read the material according to the story mode instructions, and activates the sound effect: "Story mode, let's create a story together!"

[0066] Specifically, the intelligent reading device can determine the reading data of the two-dimensional graphic material placed by the user through a visual recognition module. Please refer to [link / reference] for details. Figure 3 , Figure 3 This is a flowchart illustrating an embodiment of the intelligent point-and-read scenario provided in this application.

[0067] like Figure 3 As shown, the user's handheld smart reading device is equipped with a recognition module. The user aligns the recognition module with... Figure 3 When given any two-dimensional planar material, the intelligent reading device can acquire the corresponding reading data, including but not limited to, such as Figure 3 The terms include: Arctic hare, base, people, polar bear, etc.

[0068] Specifically, to further enrich the intelligent reading experience, the intelligent reading device can also intermittently output reading guidance content during the process of acquiring reading data, so as to guide users to identify two-dimensional planar materials in different positions.

[0069] Please continue reading for details. Figure 4 , Figure 4 yes Figure 1 The diagram shows the detailed process flow of step S11 in the intelligent point-reading method.

[0070] like Figure 4 As shown, the specific steps are as follows:

[0071] Step S111: In response to the story mode command, output the first reading guide content.

[0072] In this embodiment, the intelligent reading device outputs the first reading guidance content and activates the sound effect: "Story mode, let's create a story together!"

[0073] Step S112: After obtaining the first reading data, continue to output the second reading guidance content.

[0074] In this embodiment of the application, after the intelligent reading device identifies the first reading data through the recognition module, in order to enrich the reading data, it can further guide the user to select other two-dimensional planar materials, that is, continue to output the second reading guidance content.

[0075] Specifically, the interactive reading guidance content output at each stage of this application can also be configured to adaptively adjust based on user behavior to enrich the intelligent interactive reading experience. For example, if the intelligent interactive reading device analyzes that the type of read content in the first interactive reading data is animal, it can further output interactive reading guidance content for other animals based on the animal type, that is, guide the user to select two-dimensional graphic materials of other animals.

[0076] In one specific implementation, the intelligent reading device outputs second reading guidance content, prompting the user to read other materials of different types of the second reading data, and activating sound effects such as: "Are there any others?" "Let's choose one last time?" etc.

[0077] Step S113: After obtaining the second reading data, continue to output the third reading guidance content.

[0078] In this embodiment of the application, after the intelligent reading device identifies the second reading data through the recognition module, in order to enrich the reading data, it can further guide the user to select other two-dimensional planar materials, that is, continue to output the third reading guidance content.

[0079] Specifically, the interactive reading guidance content output at each stage of this application can also be configured to adaptively adjust based on user behavior to enrich the intelligent interactive reading experience. For example, if the intelligent interactive reading device analyzes that the type of read content in the first interactive reading data is animal-related, it can further output interactive reading guidance content that indicates that the action may lead to a specific event, thus guiding the user to select other types of two-dimensional graphic materials.

[0080] In one specific implementation, the intelligent reading device outputs a second reading guide, prompting the user to read other materials of different types of the second reading data, and activates a sound effect: "What will it encounter?".

[0081] Step S114: In response to the failure to acquire third reading data within a preset time period after the output of the third reading guidance content, or the number of reading data reaches a preset number, stop acquiring reading data.

[0082] In this embodiment of the application, if the intelligent reading device cannot identify the relevant reading data within a certain period of time after outputting the reading guidance content, it indicates that the user has ended the reading behavior, or the number of reading data, i.e. the number of readings, has reached the threshold that can be processed. At this time, the intelligent reading device can stop acquiring reading data and enter the subsequent intelligent reading content generation stage.

[0083] Step S12: Obtain the corresponding type of reading template based on the reading data.

[0084] In this embodiment, the intelligent reading device can retrieve reading templates related to the reading data from a database using a small model. The retrieval principle is mainly based on the content type of the reading data, such as animal types. These reading templates include, but are not limited to, background resources, character settings, and main storylines.

[0085] In one specific implementation, the intelligent reading device captures the reading template related to the animal type as follows:

[0086] Background information: "In the vast forest, there are many small animals. Every day, the small animals are putting on different forest stories."

[0087] Character description: "The beaver lives beside a clear stream, diligently building dams to protect its home from floods. Beavers love to clear branches and bark to build their huts. They fear the fierce hawks in the sky and the cunning foxes in the forest, who will eat them. Beavers have many companions, and building their homes is their top priority."

[0088] Main storyline: "The river level has risen again, and the beaver needs more wood to build a dam!"

[0089] The intelligent point-reading method of this application, after visually recognizing the material, uses an algorithm model to select the basic plot settings related to the recognized material from the digital content library, including the material background, plot setting, and main story.

[0090] Step S13: Merge the reading data with the reading template according to preset rules to generate reading prompt information.

[0091] In this embodiment, the intelligent reading device can acquire a large amount of reading data in step S11. First, the intelligent reading device needs to determine the target reading data from the large amount of reading data, which can be understood as the main character in the story, while other reading data can be understood as supporting characters, background, props, etc. in the story.

[0092] Specifically, the intelligent reading device can select the first reading data from multiple reading data sets, or the reading data with the most readings, as the target reading data. Alternatively, the intelligent reading device can also guide the user to actively input the target reading data at a certain time by outputting reading guidance content.

[0093] In one specific implementation, the intelligent reading device combines the above data content to generate a reading prompt:

[0094] Background: In the vast forest, there are many small animals. Every day, the small animals enact different forest stories.

[0095] Main character: The beaver lives beside a clear stream, diligently building dams to protect its home from floods. The beaver loves to clear branches and bark to build its hut. It fears the fierce hawks in the sky and the cunning foxes in the forest, who will eat it. The beaver has many companions, and building a home is their top priority.

[0096] Task: The river level has risen again, and the beaver needs more wood to build a dam!

[0097] Supporting Character 1: The Scorpion Hedgehog is covered in sharp, pointed slits. During the day, it likes to sleep quietly in the trees, only venturing out to forage for fruit and other raw food. Although it appears carefree, the Scorpion Hedgehog is most afraid of foxes and cats, as they can injure it. The Scorpion Hedgehog is always the first to spot danger and alert everyone.

[0098] Supporting Character 2: Sparrows like to eat seeds and insects and live in bird fruits in trees. Sparrows are afraid of lynxes and hawks because they will eat them. Sparrows always appear in flocks, but because there are so many of them, there is never enough food, so sparrows will steal food from their companions.

[0099] Prop 1: Camphor trees smell sweet, and many small insects don't like to get close to them.

[0100] Step S14: Input the reading prompt information into the large language model to obtain the intelligent reading content.

[0101] In the embodiments of this application, such as Figure 2 As shown, the intelligent reading device sends the reading prompts to the large language model and obtains the intelligent reading content output by the large language model. The large language model can be deployed on the intelligent reading device or in the cloud; no specific limitation is made here.

[0102] Specifically, the algorithm model integrates this content into prompts or instructions and sends them to a customized AI open-ended story generation model. This model uses the prompts or instructions as generation anchors to produce logically sound and engaging storylines that fit the basic plot settings. For example, when a user clicks on a "tiger" image on a map, the algorithm model retrieves the basic plot settings for "tigers" from its digital content library, supplemented by character settings for other supporting characters (such as "elephants" and "rabbits"), and forms these basic settings into prompts or instructions. These are then sent to the customized AI open-ended story generation model to generate a story with a tiger as the protagonist. This story content is randomized, meaning that the content generated from the same material will differ each time.

[0103] Step S15: Output the intelligent reading content.

[0104] In this embodiment of the application, when the intelligent reading device outputs intelligent reading content, it first outputs a prompt sound: "Let's listen to what story has happened in the forest!"

[0105] Furthermore, when outputting intelligent reading content, the intelligent reading device can also synthesize a voice that matches the basic settings of the material (such as the material's gender, personality, occupation, tone, etc.) through an intelligent speech synthesis model. The algorithm model calls this voice in the cloud and outputs the plot content through voice.

[0106] On smart reading devices with sufficient computing power, the algorithm model can also call up the timbre on the device side and then output the plot content through voice.

[0107] After outputting the intelligent reading content, the intelligent reading device can also output a closing remark: "Did you like this story? With a different protagonist, there are many more stories in the forest!"

[0108] This application's intelligent point-reading method is the first to apply a large language model to point-reading dolls, realizing a leap from simple science popularization output to story generation, bringing a new breakthrough to the field of children's educational products.

[0109] The intelligent point-reading method of this application generates different stories based on the user's point-reading behavior, which meets children's needs for personalized experience and allows each child to have a unique story world.

[0110] The intelligent point-reading method of this application covers popular science materials from multiple fields in the illustrations on the popular science game map. Combined with the popular science introductions output by the point-reading function, it provides children with a rich knowledge reserve.

[0111] The intelligent point-reading method in this application enhances children's sense of participation and desire to explore through the interaction between the user and the point-reading materials, making the learning process more vivid and interesting.

[0112] The intelligent point-reading method of this application can maintain children's interest and curiosity in the product by continuously generating new stories, thus extending the product's usage period.

[0113] The children's story generation model used in the intelligent point-reading method of this application has been customized and trained to better adapt to children's language and thinking patterns, and the generated stories are easier for children to understand and accept.

[0114] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0115] To implement the above-mentioned intelligent reading method, this application also proposes an intelligent reading device, please refer to the following for details. Figure 5 , Figure 5 This is a schematic diagram of an embodiment of the intelligent reading device provided in this application.

[0116] The intelligent reading device 500 of this embodiment includes: a reading module 51, an acquisition module 52, a fusion module 53, a generation module 54, and an output module 55.

[0117] The point-reading module 51 is used to obtain at least one point-reading data in response to a story mode command.

[0118] The acquisition module 52 is used to acquire a corresponding type of reading template based on the reading data.

[0119] The fusion module 53 is used to fuse the reading data with the reading template according to preset rules to generate reading prompt information.

[0120] The generation module 54 is used to input the reading prompt information into the large language model to obtain intelligent reading content.

[0121] The output module 55 is used to output the intelligent reading content.

[0122] To implement the above-mentioned intelligent reading method, this application also proposes an intelligent reading device, please refer to the following for details. Figure 6 , Figure 6 This is a schematic diagram of an embodiment of the intelligent reading device provided in this application.

[0123] The intelligent reading device 400 of this embodiment includes a processor 41, a memory 42, an input / output device 43, and a bus 44.

[0124] The processor 41, memory 42, and input / output device 43 are respectively connected to the bus 44. The memory 42 stores program data, and the processor 41 is used to execute the program data to implement the intelligent point-reading method described in the above embodiment.

[0125] In this embodiment, processor 41 can also be referred to as a CPU (Central Processing Unit). Processor 41 may be an integrated circuit chip with signal processing capabilities. Processor 41 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor, or processor 41 can be any conventional processor.

[0126] This application also provides a computer storage medium; please refer to the following: Figure 7 , Figure 7 This is a schematic diagram of a computer storage medium according to an embodiment of the present application. The computer storage medium 600 stores a computer program 61, which, when executed by a processor, is used to implement the intelligent point-reading method of the above embodiment.

[0127] When the embodiments of this application are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0128] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. An intelligent point-and-read method, characterized in that, The intelligent point-reading method includes: In response to a story mode command, retrieve at least one read data point; Based on the reading data, obtain the corresponding type of reading template; The reading data and the reading template are merged according to preset rules to generate reading prompt information; Input the reading prompt information into the large language model to obtain intelligent reading content; Output the intelligent reading content.

2. The intelligent point-reading method according to claim 1, characterized in that, The process of responding to a story mode command and acquiring at least one point-read data includes: In response to the story mode command, the first reading guide content is output; After obtaining the first reading data, continue to output the second reading guidance content; After obtaining the second reading data, continue to output the third reading guidance content; If no third reading data is acquired within a preset time period after the third reading guidance content is output, or if the number of reading data reaches a preset number, the acquisition of reading data is stopped.

3. The intelligent point-reading method according to claim 2, characterized in that, After acquiring the second reading data, the third reading guidance content is output, including: Obtain the read content types of the first and second read data points; Based on the preset content type and the read content type, obtain the unread content type; The third reading guidance content is output according to the type of unread content.

4. The intelligent point-reading method according to claim 2, characterized in that, After acquiring the first reading data, the second reading guidance content will be output, including: Obtain the type of read content of the first point of data; The second reading guidance content is output according to the type of content already read.

5. The intelligent point-reading method according to claim 1, characterized in that, The step of obtaining the corresponding type of point-reading template based on the point-reading data includes: Based on the content type of the reading data, a reading template is obtained, wherein the reading template includes background resources, character settings, and main storyline. The step of fusing the reading data with the reading template according to preset rules to generate reading prompt information includes: The target reading data in the reading data is integrated with the character settings and the main storyline to generate protagonist content and mission content; Other reading data in the reading data are used to generate auxiliary content according to the background resources; The background resources, the main character content, the auxiliary content, and the task content are combined to generate the reading prompt information.

6. The intelligent point-reading method according to claim 5, characterized in that, The step of obtaining the reading template based on the content type of the reading data includes: The step of generating auxiliary content from other point-reading data in the point-reading data according to the background resource includes: The other reading data with the same content type as the target reading data are used to generate supporting content according to the background resources; The reading data of different content types from the target reading data are used to generate background content or prop content according to the background resource.

7. The intelligent point-reading method according to claim 5, characterized in that, The intelligent point-reading method further includes: The first read data or the read data with the most reads is identified as the target read data.

8. An intelligent reading device, characterized in that, The intelligent reading device includes: a reading module, an acquisition module, a fusion module, a generation module, and an output module; wherein, The point-reading module is used to obtain at least one point-reading data in response to a story mode command; The acquisition module is used to acquire a corresponding type of reading template based on the reading data; The fusion module is used to fuse the reading data with the reading template according to preset rules to generate reading prompt information; The generation module is used to input the point-reading prompt information into the large language model to obtain intelligent point-reading content; The output module is used to output the intelligent reading content.

9. A smart reading device, characterized in that, The intelligent reading device includes a memory and a processor coupled to the memory; The memory is used to store program data, and the processor is used to execute the program data to implement the intelligent point-reading method as described in any one of claims 1 to 8.

10. A computer storage medium, characterized in that, The computer storage medium is used to store program data, which, when executed by the computer, is used to implement the intelligent point-reading method as described in any one of claims 1 to 8.

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