CN116187530A - Prediction system and method based on meta universe - Google Patents
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Abstract
The invention discloses a prediction system and a method based on meta universe, wherein the invention connects a client through MR equipment to generate a virtual human model, and the virtual human model is generated according to the characteristics of a second user; when the first prediction model is matched with the prediction model request, the virtual human model can be used for test requirement description after the first user or the second user initiates an interaction request; after the test is completed, the first user generates a payment request, the second user pays according to a connected login blockchain payment page in the payment request, and after the characteristic information is uploaded, the first user generates an embedded authentication information prediction result according to the characteristic information, and the use of the virtual mannequin effectively improves privacy safety of both parties and safety of predicted data in the interaction process.
Description
Technical field:
the invention belongs to the field of intelligent interaction, and particularly relates to a meta-universe-based prediction method and system.
The background technology is as follows:
the meta universe is a novel virtual-real compatible internet application and social morphology generated by integrating multiple new technologies, provides immersive experience based on an augmented reality technology, generates a mirror image of a real world based on a digital twin technology, builds an economic system based on a blockchain technology, integrates a virtual world with the real world closely on an economic system, a social system and an identity system, and allows each user to conduct content production and world editing. Thus, the meta-universe is neither distinct from an electronic game nor from a virtual world.
In recent years, the meta space is gradually applied to the fields of games, exhibitions, education, design planning, medical treatment, industrial manufacturing and the like, and at present, data prediction or data mining has a higher technical threshold for beginners or general users, and when facing the problems of big data processing and the like, the time and the labor are often consumed, but when the data is handed to other people for processing, the problems of data leakage, unsafe and the like exist; how to improve the efficiency of data mining or data prediction by general users is a technical problem to be solved.
Disclosure of Invention
Aiming at the problems that the existing data prediction or data mining has higher technical threshold for beginners or general users and data leakage or unsafe in the data processing process and the like, the invention adopts MR equipment to connect a client to generate a virtual human model, and the virtual human model is generated according to the characteristics of the second user; when the first prediction model is matched with the prediction model request, after the first user or the second user initiates an interaction request, the second user uses the virtual human model to carry out test requirement description; after the test is completed, the first user generates a payment request, the second user pays according to a connected login blockchain payment page in the payment request, and after the characteristic information is uploaded, the first user generates an embedded authentication information prediction result according to the characteristic information, the use of a virtual mannequin effectively improves privacy safety of both parties and safety of predicted data in the interaction process, and meanwhile, the uniqueness and identification of the data are guaranteed by embedding the virtual mannequin with user attributes into the prediction result.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a meta-universe based prediction system, the system comprising: cloud server, client, MR device and mobile disk;
the cloud server is used for storing first prediction model information issued by a first user;
the client is used for a second user to log in the predictive model service platform and issue a predictive model request according to the data type and the data quantity in the mobile disk;
the MR equipment is used for connecting a second user with a client to generate a virtual mannequin, and the virtual mannequin is generated according to the characteristics of the second user;
the mobile disk is used for storing data to be analyzed;
when the first prediction model is matched with the prediction model request, after the first user or the second user initiates an interaction request, the second user uses the virtual human model to carry out test requirement description; after the test is completed, the first user generates a payment request, the second user performs payment according to the payment request connected with a login blockchain payment page, and after the characteristic information is uploaded, the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result.
Further, the first prediction model information comprises a prediction model type, an analyzable data type, a data processing speed and a model prediction result animation demonstration type.
Further, the prediction model comprises a neural network model, a finite state machine model, a particle swarm model, a principal component analysis model, a cluster analysis model, a corresponding analysis model, a multidimensional scale analysis model, a linear regression model and a time sequence analysis model.
Further, the animation demonstration comprises a data change trend, an association relation change trend and audio description and digital watermark of the virtual person, wherein the audio description and the digital watermark are generated by authentication information according to the second user characteristic information; the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result, wherein the authentication information comprises the following steps:
s41, extracting voiceprint features according to the audio description of the virtual person,
s42, performing discrete cosine transform on the audio in the prediction result to obtain a discrete cosine transform coefficient matrix diagram,
s43, obtaining the relative position relation of the first order extreme point of the frequency spectrum by performing discrete Fourier transform on the audio frequency in the prediction result;
s44, determining an embedding position according to the relative position relation;
s45, embedding the first digital watermark of the virtual person into the embedded position, wherein the first digital watermark is a digital image of the virtual person containing iris information;
wherein the verification process comprises:
s46, extracting a second digital watermark in the audio,
s47, calculating the similarity between the first digital watermark and the second digital watermark, and if the similarity exceeds a first threshold, verifying successfully, wherein the result is not modified;
the similarity calculation formula is as follows:
e (m) represents characteristic information of the embedded digital watermark under the audio-visual of the mth frame,
e' (m) represents the feature information of the extracted digital watermark under the m-th frame audio image.
Further, after the test intention is reached, the second user uploads the data to be tested in the disk to the cloud server, and the cloud server encrypts the data and then opens the operation authority to the first user.
Further, the first user inputs data into a prediction model specified by the user, the execution of the prediction model occurs in a cloud server, and the first user has no authority to download the data to be predicted to the local.
Further, the virtual mannequin is a three-dimensional stereomodel, and the second user characteristic includes voiceprint, iris data, and facial feature distribution information.
Further, the data encryption operation includes generating replacement data identical to the original data format according to the original data format, such as replacing 1990-11-11 with 1899-10-15, wherein the replacement data has no additional influence on the model operation, and the first user can modify the original prediction model according to the replacement data.
The meta-universe-based prediction method comprises the following steps:
s1, first prediction model information issued by a first user is sent to a cloud server;
s2, a second user logs in a prediction model service platform at the client, and issues a prediction model request according to the data type and the data quantity in the mobile disk;
s3, the second user activates an MR device connection client to control a virtual mannequin, and the virtual mannequin is generated according to the characteristics of the second user;
s4, when the first prediction model is matched with the prediction model request, the first user or the second user initiates an interaction request, and the second user uses the virtual human model to carry out test requirement description;
s5, the first user performs a data prediction model by adopting the cloud server;
s6, after the test is completed, the first user generates a payment request, the second user performs payment according to a login block chain payment page connected with the payment request, and after the characteristic information is uploaded, the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result;
and S7, extracting feature data by a third user, grading the first user according to a test result and generating recommendation information according to the grading.
A computer-readable storage medium storing a computer program, wherein execution of the computer program by the processor implements a metauniverse-based prediction method.
Terminal device comprising a memory, a processor and a computer program stored in said memory and executable on said processing, characterized in that said processor executes said computer program to implement a meta-universe based prediction method.
The beneficial effects of the invention are as follows:
according to the invention, the first user generates the embedded authentication information prediction result according to the characteristic information, the use of the virtual person model effectively improves the privacy safety of both parties and the safety of predicted data in the interaction process, and simultaneously, the uniqueness and the identification of the data are ensured by embedding the virtual person animation with the user attribute into the prediction result; the technical operation level of the data demand processing party is reduced through the platform constructed by the cloud server, and the analysis result can be obtained in an anonymous mode only according to own demand.
The foregoing description is only an overview of the present invention, and is intended to be more clearly understood as the present invention, as it is embodied in the following description, and is intended to be more clearly understood as the following description of the preferred embodiments, given in detail, of the present invention, along with other objects, features and advantages of the present invention.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a block diagram of a metauniverse-based prediction system.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In the description of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, connected, detachably connected, or integrated; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
Example 1
A meta-universe based prediction system, the system comprising: cloud server, client, MR device and mobile disk;
the cloud server is used for storing first prediction model information issued by a first user;
the client is used for a second user to log in the predictive model service platform and issue a predictive model request according to the data type and the data quantity in the mobile disk;
the MR equipment is used for connecting a second user with a client to generate a virtual mannequin, and the virtual mannequin is generated according to the characteristics of the second user;
the mobile disk is used for storing data to be analyzed;
when the first prediction model is matched with the prediction model request, after the first user or the second user initiates an interaction request, the second user uses the virtual human model to carry out test requirement description; after the test is completed, the first user generates a payment request, the second user performs payment according to the payment request connected with a login blockchain payment page, and after the characteristic information is uploaded, the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result.
Further, the first prediction model information comprises a prediction model type, an analyzable data type, a data processing speed and a model prediction result animation demonstration type.
Further, the prediction model comprises a neural network model, a finite state machine model, a particle swarm model, a principal component analysis model, a cluster analysis model, a corresponding analysis model, a multidimensional scale analysis model, a linear regression model and a time sequence analysis model.
Wherein the method comprises the steps of
Further, the animation demonstration comprises a data change trend, an association relation change trend and audio description and digital watermark of the authentication information for the virtual person generated according to the second user characteristic information,
the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result, wherein the authentication information comprises the following steps:
s41, extracting voiceprint features according to the audio description of the virtual person,
s42, performing discrete cosine transform on the audio in the prediction result to obtain a discrete cosine transform coefficient matrix diagram,
s43, obtaining the relative position relation of the first order extreme point of the frequency spectrum by performing discrete Fourier transform on the audio frequency in the prediction result;
s44, determining an embedding position according to the relative position relation;
s45, embedding the first digital watermark of the virtual person into the embedded position, wherein the first digital watermark is a digital image of the virtual person containing iris information;
wherein the verification process comprises:
s46, extracting a second digital watermark in the audio,
s47, calculating the similarity between the first digital watermark and the second digital watermark, and when the similarity exceeds a first threshold value, successfully verifying the first watermark, wherein the result is not modified;
the similarity calculation formula is as follows:
s48, clustering the extracted voiceprint features and the voiceprint features of the second user, and then performing difference calculation, wherein if the difference is smaller than a second threshold, the second verification is successful, and the clustering operation comprises the step of setting the voiceprint frequency and the frequency radius.
Further, after the test intention is reached, the second user uploads the data to be tested in the disk to the cloud server, and the cloud server encrypts the data and then opens the operation authority to the first user.
Further, the first user inputs data into a prediction model specified by the user, the execution of the prediction model occurs in a cloud server, and the first user has no authority to download the data to be predicted to the local.
Further, the virtual mannequin is a three-dimensional stereomodel, and the second user characteristic includes voiceprint, iris data, and facial feature distribution information.
Further, the data to be predicted comprises time sequence data, image data and space-time track data multidimensional text data.
Further, the payment includes a verification operation, wherein the verification is selected for the virtual human model random information, such as pupil color, hairstyle pattern and the like.
Further, when the second user is satisfied with the predicted result and then the open authority is embedded into the authentication information, the first user can execute the next operation.
Further, if the second user is not satisfied with the prediction result, the first user corrects and interprets the prediction model according to the feedback information.
Further, if the second user is not satisfied with the final display result, the first user can display the style template and the tuning test, so that the first user can select conveniently.
For example, the interest points of different areas in different age groups can be obtained by using a corresponding analysis model according to video history watching records of users with different ages provided by the users. And the merchant provides decision support for merchant expansion or transformation according to the change rule of the interest points and the distribution of the business types in the region.
Example 2
The meta-universe-based prediction method comprises the following steps:
s1, first prediction model information issued by a first user is sent to a cloud server;
s2, a second user logs in a prediction model service platform at the client, and issues a prediction model request according to the data type and the data quantity in the mobile disk;
s3, the second user activates an MR device connection client to control a virtual mannequin, and the virtual mannequin is generated according to the characteristics of the second user;
s4, when the first prediction model is matched with the prediction model request, the first user or the second user initiates an interaction request, and the second user uses the virtual human model to carry out test requirement description;
s5, the first user performs a data prediction model by adopting the cloud server;
s6, after the test is completed, the first user generates a payment request, the second user performs payment according to a login block chain payment page connected with the payment request, and after the characteristic information is uploaded, the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result;
the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result, wherein the generation of the authentication information comprises the following steps:
s61, extracting voiceprint features according to the audio description of the virtual person,
s62, performing discrete cosine transform on the audio in the prediction result to obtain a discrete cosine transform coefficient matrix diagram,
s63, obtaining the relative position relation of the first order extreme point of the frequency spectrum by performing discrete Fourier transform on the audio frequency in the prediction result;
s64, determining an embedding position according to the relative position relation;
s65, embedding the first digital watermark of the virtual person into the embedded position, wherein the first digital watermark is a digital image of the virtual person containing iris information;
wherein the verification process comprises:
s66, extracting a second digital watermark in the audio,
s67, calculating the similarity between the first digital watermark and the second digital watermark, and if the similarity exceeds a first threshold, verifying successfully, wherein the result is not modified;
the similarity calculation formula is as follows:
and S7, extracting feature data by a third user, grading the first user according to a test result and generating recommendation information according to the grading.
And the third user is a third party qualification identifier, and the predictive model service platform ranks the first user according to the recommendation information.
The authentication information comprises part of characteristic information of the virtual human model.
The invention has the advantages that:
according to the invention, the first user generates the embedded authentication information prediction result according to the characteristic information, the use of the virtual person model effectively improves the privacy safety of both parties and the safety of predicted data in the interaction process, and simultaneously, the uniqueness and the identification of the data are ensured by embedding the virtual person animation with the user attribute into the prediction result; the technical operation level of a data demand processing party is reduced through a platform constructed by the cloud server, an analysis result can be obtained in an anonymous mode only according to own demand, and the security of a test result is improved by the digital watermark of the audio.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A meta-universe based prediction system, the system comprising: cloud server, client, MR device and mobile disk;
the cloud server is used for storing first prediction model information issued by a first user;
the client is used for a second user to log in the predictive model service platform and issue a predictive model request according to the data type and the data quantity in the mobile disk;
the MR equipment is used for connecting a second user with a client to generate a virtual mannequin, and the virtual mannequin is generated according to the characteristics of the second user;
the mobile disk is used for storing data to be analyzed;
when the first prediction model is matched with the prediction model request, after the first user or the second user initiates an interaction request, the second user uses the virtual human model to carry out test requirement description; after the test is completed, the first user generates a payment request, the second user performs payment according to the payment request connected with a login blockchain payment page, and after the characteristic information is uploaded, the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result.
2. The meta-universe based prediction system of claim 1 wherein: the first prediction model information comprises a prediction model type, an analyzable data type, a data processing speed and a model prediction result animation demonstration type.
3. The meta-universe based prediction system of claim 2 wherein: the prediction model comprises a neural network model, a finite state machine model, a particle swarm model, a principal component analysis model, a cluster analysis model, a corresponding analysis model, a multidimensional scale analysis model, a linear regression model and a time sequence analysis model.
4. The meta-universe based prediction system of claim 1 wherein: the animation demonstration comprises a data change trend, an association relation change trend and a digital watermark, wherein the audio description of the virtual person is generated by authentication information according to the second user characteristic information;
the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result, wherein the authentication information comprises the following steps:
s41, extracting voiceprint features according to the audio description of the virtual person,
s42, performing discrete cosine transform on the audio in the prediction result to obtain a discrete cosine transform coefficient matrix diagram,
s43, obtaining the relative position relation of the first order extreme point of the frequency spectrum by performing discrete Fourier transform on the audio frequency in the prediction result;
s44, determining an embedding position according to the relative position relation;
s45, embedding the first digital watermark of the virtual person into the embedded position, wherein the first digital watermark is a digital image of the virtual person containing iris information;
wherein the verification process comprises:
s46, extracting a second digital watermark in the audio,
s47, calculating the similarity between the first digital watermark and the second digital watermark, and if the similarity exceeds a first threshold, verifying successfully, wherein the result is not modified;
the similarity calculation formula is as follows:
e (m) represents the feature information of the embedded digital watermark under the m-th frame of audio and video, and e' (m) represents the feature information of the extracted digital watermark under the m-th frame of audio and video.
5. The meta-universe based prediction system of claim 1 wherein: and after the test intention is reached, uploading the data to be tested in the disk to the cloud server by the second user, and starting the operation authority to the first user after the cloud server encrypts the data.
6. The meta-universe based prediction system of claim 5 wherein: the first user inputs data into a prediction model appointed by the user, the execution of the prediction model occurs in a cloud server, and the first user does not have permission to download the data to be predicted to the local.
7. The meta-universe based prediction system of claim 1 wherein: the virtual mannequin is a three-dimensional model, and the second user characteristic includes voiceprint, iris data and five sense organs distribution information.
8. A meta-universe-based prediction method is characterized by comprising the following steps of:
s1, first prediction model information issued by a first user is sent to a cloud server;
s2, a second user logs in a prediction model service platform at the client, and issues a prediction model request according to the data type and the data quantity in the mobile disk;
s3, the second user activates an MR device connection client to control a virtual mannequin, and the virtual mannequin is generated according to the characteristics of the second user;
s4, when the first prediction model is matched with the prediction model request, the first user or the second user initiates an interaction request, and the second user uses the virtual human model to carry out test requirement description;
s5, the first user performs a data prediction model by adopting the cloud server;
s6, after the test is completed, the first user generates a payment request, the second user performs payment according to the connection login blockchain payment page in the payment request, and after the characteristic information is uploaded, the first user generates authentication information according to the characteristic information and embeds the authentication information into a prediction result.
9. A computer-readable storage medium storing a computer program, wherein execution of the computer program by the processor implements the metauniverse-based prediction method of claim 8.
10. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processing, characterized in that the processor executes the computer program to implement the meta-universe based prediction method of claim 8.
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