CN115983908A - Data processing method, device and equipment based on metauniverse and readable storage medium - Google Patents
Data processing method, device and equipment based on metauniverse and readable storage medium Download PDFInfo
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Abstract
The invention relates to a data processing method, equipment, a device and a readable storage medium based on a metauniverse. The data processing method based on the metauniverse comprises the following steps: acquiring a user attribute label in the meta universe, and matching system task information corresponding to the user attribute label; under the condition of meeting the preset conditions, issuing system task information through peripheral equipment; obtaining a current score according to the returned task completion information; wherein the task completion information corresponds to system task information; and obtaining and issuing current task reward data based on the current score and the user attribute label. According to the data processing method, different users can obtain differentiated tasks, current task reward data is obtained based on the current scores and the user attribute labels, different users can obtain rewards matched with the user attribute labels, and therefore the use rate or satisfaction rate of task rewards is greatly improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a data processing method, a device, equipment and a readable storage medium based on a meta universe.
Background
The currently known effective method for online task dispatching is through an online program dispatching mode. For example: and the user obtains the task distributed by the online program and finishes the task offline, and the user finishes the task in a mode of confirmation by staff or click by the user after finishing the task. However, when tasks are dispatched on line, the relevance of the dispatching system and the task data processing are not effectively dependent on user attributes, and a user does not realize specific data binding and cannot realize the differentiation of task dispatching of the user.
Disclosure of Invention
Based on this, it is necessary to provide a metastic-based data processing method, apparatus, device and readable storage medium for realizing task data differentiation.
In order to achieve the above object, in one aspect, an embodiment of the present application provides a data processing method based on a metastic universe, including the steps of:
acquiring user attribute tags in the meta universe, and matching system task information corresponding to the user attribute tags;
under the condition of meeting a preset condition, issuing system task information through peripheral equipment;
obtaining a current score according to the returned task completion information; wherein, the task completion information corresponds to the system task information;
and obtaining and issuing current task reward data based on the current score and the user attribute label.
In one embodiment, the step of obtaining the user attribute tag includes:
extracting user attribute data from a block chain storage module;
and generating a user attribute label according to the user attribute data.
In one embodiment, the user attribute data includes one or more of user preferences, task completion, historical rating data, and historical task reward data.
In one embodiment, after the step of obtaining and issuing the reward data of the current task, the method further includes:
the current task reward data is stored in a blockchain storage module.
In one embodiment, the step of matching system task information corresponding to the user attribute tags comprises:
generating task attribute labels corresponding to the initial task information;
and matching system task information corresponding to the user attribute labels in each initial task information based on the task attribute labels.
In one embodiment, the preset condition includes that the current time falls within a preset time interval, and/or the signal transmission range of the peripheral device is equal to a preset area.
On one hand, the embodiment of the invention provides another data processing method based on a meta universe, which comprises the following steps:
the server side obtains the user attribute tags in the meta universe and matches system task information corresponding to the user attribute tags;
the server side issues system task information through peripheral equipment under the condition that preset conditions are met;
the user side receives and displays system task information and feeds task completion information back to the server side;
the server side obtains the current score according to the returned task completion information; wherein the task completion information corresponds to system task information;
and the server side obtains the current task reward data and sends the current task reward data to the user side based on the current score and the user attribute label.
In one aspect, an embodiment of the present invention further provides a data processing apparatus based on a meta universe, including:
the task issuing module is used for acquiring the user attribute labels in the meta universe and matching system task information corresponding to the user attribute labels; and under the condition of meeting the preset condition, issuing system task information through peripheral equipment;
the scoring module is used for obtaining the current score according to the returned task completion information; wherein the task completion information corresponds to system task information;
and the task reward module is used for obtaining and issuing current task reward data based on the current score and the user attribute label.
In one aspect, an embodiment of the present invention further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
In another aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the foregoing method.
One of the above technical solutions has the following advantages and beneficial effects:
according to the data processing method, corresponding system task information is matched according to the user attribute tags in the metacarpal, the system task information is issued when preset conditions are met through peripheral equipment, grading is carried out according to user task completion information, user rewards are issued according to the user grades and the user attribute tags, different users can obtain differentiated tasks, current task reward data are obtained based on the current grades and the user attribute tags, different users can obtain rewards matched with the user attribute tags, and therefore the utilization rate or satisfaction rate of the task rewards is greatly improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the technical solutions in the embodiments or related technologies of the present application, the drawings needed to be used in the description of the embodiments or related technologies will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without any creative effort.
FIG. 1 is a diagram of an application environment for a method for data processing based on a metasequoiy in an embodiment;
FIG. 2 is a schematic flow chart diagram that illustrates a method for metastic-based data processing in one embodiment;
FIG. 3 is a schematic flow chart diagram illustrating the steps for obtaining user attribute tags in one embodiment;
FIG. 4 is a schematic flow diagram that illustrates matching system task information corresponding to user attribute tags in one embodiment;
FIG. 5 is a block diagram of a data processing apparatus based on a metastic universe in an embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
It is to be understood that "connection" in the following embodiments is to be understood as "electrical connection", "communication connection", and the like if the connected circuits, modules, units, and the like have communication of electrical signals or data with each other.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.
Alternatively, in the embodiment of the present application, the method described above may be applied to a hardware environment formed by the terminal 101 and the server 103 as shown in fig. 1. As shown in fig. 1, a server 103 is connected to a terminal 101 through a network, which may be used to provide services for the terminal or a client installed on the terminal, and a blockchain storage module 105 may be provided on the server or separately from the server, and is used to provide data storage services for the server 103, where the network includes but is not limited to: wide area network, metropolitan area network, or local area network, and the terminal 101 includes but is not limited to a PC, a cell phone, a tablet computer, and the like.
A method in an embodiment of the present application may be performed by the server 103, as shown in fig. 2, and may include the following steps:
s210, acquiring a user attribute label in the meta universe, and matching system task information corresponding to the user attribute label;
the user attribute tag is used for tagging and imaging the user. The system task information may be to complete a punch-down card, check-in the system, click on a link, etc.
Specifically, the system task information is obtained by matching according to the user attribute tag, for example, if the user attribute tag is a favorite consumption ticket, the task attribute tag of the system task information is a consumption ticket type task.
S220, issuing system task information through peripheral equipment under the condition of meeting preset conditions;
the peripheral equipment can be equipment capable of transmitting information within a specific range, such as a Bluetooth communication module and an iBeacon. The system is installed at a specific task triggering place (such as a scenic spot entrance, a certain symbolic landscape, a business district and the bottom of a certain dining table), and tasks are distributed to each user in a specific range according to set time and user attribute labels in the distributed block chain user attribute storage. In one embodiment, the preset condition includes that the current time falls within a preset time interval, and/or the signal transmission range of the peripheral device is equal to a preset area. That is, the system task information may be issued at a specific time and within a specific range through the peripheral device.
S230, obtaining the current score according to the returned task completion information; wherein the task completion information corresponds to system task information;
wherein, the scoring is obtained by evaluating according to the task completion information, and any means in the field can be adopted for scoring. For example, the scored content may be task completion progress, etc., without being unduly limited herein.
And S240, obtaining and issuing the reward data of the current task based on the current score and the user attribute label.
In particular, a corresponding task reward may be derived based on the current rating and the user attribute tags. For example, if the user attribute tag is a favorite consumption ticket, consumption tickets with different preferential amounts can be obtained based on the current score. As another example, if the user attribute tag is a favorite tennis racket, different degrees of fullness notes for the tennis racket may be obtained based on the current score.
According to the data processing method, corresponding system task information is matched according to the user attribute tags in the metacarpal, the system task information is issued when preset conditions are met through peripheral equipment, grading is carried out according to user task completion information, user rewards are issued according to the user grades and the user attribute tags, different users can obtain differentiated tasks, current task reward data are obtained based on the current grades and the user attribute tags, different users can obtain rewards matched with the user attribute tags, and therefore the utilization rate or satisfaction rate of the rewards is greatly improved.
In one embodiment, as shown in fig. 3, the step of obtaining the user attribute tag includes:
s310, extracting user attribute data from the block chain storage module;
wherein the user attribute data includes one or more of user preferences, task completion, historical rating data, and historical task reward data.
And S320, generating a user attribute label according to the user attribute data.
Specifically, the "favorite related" label may be generated according to the user preference, and the "task will related" label may be generated according to the task completion degree and the current score. A label of the satisfaction degree of the reward is further generated from the use condition of the current task reward data, and can be used for adjusting the reward strength.
In one embodiment, after the step of obtaining and issuing the reward data of the current task, the method further includes:
the current task reward data is stored in a blockchain storage module.
Specifically, the user task completion and reward related data are stored in the user attribute storage module, and data support is provided for next task distribution. By means of distributed block chain storage, the large-capacity storage of user data in the meta universe can be met, and meanwhile, compared with a traditional database, the safety of storage mode data is higher; due to the fact that the blockchain has the tamper-proof characteristic, any party cannot tamper data stored in the blockchain privately, the difference of each user attribute in the metacarpal city travel task system is effectively guaranteed, and the system task information is convenient to distribute in a distinctive mode; the distributed block chain binding user attributes comprise user preferences, task completion conditions and task rewards, and the rational check of all tasks and rewards can be based; NFR (Non-variant Rights, non-homogeneity interests) also provides security assurance for authentication services and transactions for M-NFR included in mission rewards in the meta universe.
In one embodiment, as shown in fig. 4, the step of matching the system task information corresponding to the user attribute tag includes:
s410, generating task attribute labels corresponding to the initial task information;
specifically, the task attribute tags may be integrated in advance, for example, the task attribute tags may be a consumption ticket task, a long-term equity task, and the like.
And S420, matching system task information corresponding to the user attribute labels in each initial task information based on the task attribute labels.
Specifically, the user attribute tag and the task attribute tag are matched, so that system task information corresponding to the user attribute tag can be obtained.
Specifically, the data processing method can realize task distribution differentiated according to user information in the task distribution process, and realize traceability of relevant task completion information and task reward information after a user completes a task; aiming at the task of rewarding the task as the consumption coupon, the system can realize the distribution of the corresponding consumption coupon according to the user attribute, thereby greatly improving the utilization rate of the consumption coupon and solving the traceability problem in the use process of the consumption coupon; aiming at long-term rights and interests of the user, the system can realize effective tracing from the rights and interests to the user, and can ensure the effectiveness and uniqueness of the rights and interests.
In one embodiment, another metauniverse-based data processing method is provided, comprising the steps of:
the server side obtains the user attribute tags in the meta universe and matches system task information corresponding to the user attribute tags;
the server side issues system task information through peripheral equipment under the condition that preset conditions are met;
the user side receives and displays the system task information and feeds back task completion information to the server side;
the server side obtains a current score according to the returned task completion information; wherein the task completion information corresponds to system task information;
and the server side obtains the current task reward data and sends the current task reward data to the user side based on the current score and the user attribute label.
Specifically, the data processing method of the metasma is a process of interactive processing between the server side and the user side. The system task information received and displayed by the user can be information such as task introduction, task prompt, task completion progress and the like. The task completion information may include a task scene where the user is located, a time for the user to complete the task, and the like.
It should be understood that although the various steps in the flowcharts of fig. 1-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternatively with other steps or at least some of the other steps or stages.
In one embodiment, as shown in fig. 5, there is also provided a metas-cosmic-based data processing apparatus including:
the task issuing module is used for acquiring the user attribute labels in the meta universe and matching system task information corresponding to the user attribute labels; and under the condition of meeting the preset condition, issuing system task information through peripheral equipment;
the scoring module is used for obtaining the current score according to the returned task completion information; wherein, the task completion information corresponds to the system task information;
and the task reward module is used for obtaining and issuing current task reward data based on the current score and the user attribute label.
In one embodiment, the task issuing module further comprises:
the extraction module is used for extracting the user attribute data from the block chain storage module;
and the user attribute label generating module is used for generating a user attribute label according to the user attribute data.
In one embodiment, the task reward module is further configured to store current task reward data in the blockchain storage module.
In one embodiment, the task issuing module further comprises:
the task attribute label module is used for generating task attribute labels corresponding to the system task information;
and the matching module is used for matching the system task information corresponding to the user attribute label based on the task attribute label.
In one embodiment, the meta universe based data processing apparatus further comprises:
the user information processing module is used for drawing user attribute labels marked in the meta universe according to the user attribute data in the block chain storage module and analyzing user task completion data to the task rewarding module according to the scoring module;
in one embodiment, the metastic-based data processing apparatus further includes:
a task receiving module: for the user to receive the issued system task information.
For specific definitions of the metastables-based data processing apparatus, reference may be made to the above definitions of the metastables-based data processing method, which are not described in detail herein. The various modules in the above-described metastic-based data processing apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
In one embodiment, there is also provided a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a user attribute label in the meta universe, and matching system task information corresponding to the user attribute label;
under the condition of meeting the preset conditions, issuing system task information through peripheral equipment;
obtaining a current score according to the returned task completion information; wherein the task completion information corresponds to system task information;
and obtaining and issuing current task reward data based on the current score and the user attribute label.
In one embodiment, the processor further performs the step of obtaining the user attribute tag by:
extracting user attribute data from a block chain storage module;
and generating a user attribute label according to the user attribute data.
In one embodiment, after the processor performs the step of obtaining and issuing the reward data of the current task, the following steps are also implemented:
the current task reward data is stored in a blockchain storage module.
In one embodiment, the processor when performing the step of matching system task information corresponding to user attribute tags further performs the steps of:
generating task attribute labels corresponding to the system task information;
and matching system task information corresponding to the user attribute label based on the task attribute label.
In one embodiment, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps:
acquiring a user attribute label in the meta universe, and matching system task information corresponding to the user attribute label;
under the condition of meeting a preset condition, issuing system task information through peripheral equipment;
obtaining a current score according to the returned task completion information; wherein the task completion information corresponds to system task information;
and obtaining and issuing current task reward data based on the current score and the user attribute label.
In one embodiment, the step of obtaining the user attribute tag further comprises the following steps when executed by the processor:
extracting user attribute data from a block chain storage module;
and generating a user attribute label according to the user attribute data.
In one embodiment, after the step of obtaining and issuing the reward data of the current task is executed by the processor, the following steps are also implemented:
the current task reward data is stored in a blockchain storage module.
In one embodiment, the step of obtaining matching system task information corresponding to the user attribute tag further comprises the following steps when executed by the processor:
generating task attribute labels corresponding to the system task information;
and matching system task information corresponding to the user attribute label based on the task attribute label.
When the embodiments of the present application are specifically implemented, reference may be made to the above embodiments, and corresponding technical effects are achieved.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk. It is noted that, in this document, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation 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 include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "...," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The previous description is only an example of the present application, and is provided to enable any person skilled in the art to understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of data processing based on a metasystem, comprising the steps of:
acquiring a user attribute label in a meta universe, and matching system task information corresponding to the user attribute label;
under the condition of meeting a preset condition, issuing the system task information through peripheral equipment;
obtaining a current score according to the returned task completion information; wherein the task completion information corresponds to the system task information;
and obtaining and issuing current task reward data based on the current score and the user attribute label.
2. The metastic-based data processing method as recited in claim 1, wherein the step of obtaining a user attribute tag includes:
extracting user attribute data from a block chain storage module;
and generating the user attribute label according to the user attribute data.
3. The meta universe based data processing method of claim 2 wherein the user attribute data includes one or more of user preferences, task completion, session score data and session reward data.
4. The method of claim 2, wherein the step of obtaining and transmitting the current task reward data is followed by the step of:
and storing the current task reward data in the blockchain storage module.
5. The method of metastic-based data processing according to claim 1, wherein the step of matching system task information corresponding to the user attribute tag includes:
generating task attribute labels corresponding to the initial task information;
and matching system task information corresponding to the user attribute labels in each initial task information based on the task attribute labels.
6. A method for metacarpal-based data processing according to claim 1, wherein the preset conditions include that the current time falls within a preset time interval and/or the signal transmission range of the peripheral device is equal to a preset area.
7. A method of data processing based on a metasystem, comprising the steps of:
a server side acquires a user attribute tag in a meta universe and matches system task information corresponding to the user attribute tag;
the server side issues the system task information through peripheral equipment under the condition that preset conditions are met;
the user side receives and displays the system task information and feeds task completion information back to the server side;
the server side obtains the current score according to the returned task completion information; wherein the task completion information corresponds to the system task information;
and the server side obtains current task reward data based on the current score and the user attribute label and sends the current task reward data to the user side.
8. A metastic-based data processing apparatus, comprising:
the task issuing module is used for acquiring the user attribute labels in the meta universe and matching system task information corresponding to the user attribute labels; and under the condition of meeting the preset condition, issuing the system task information through peripheral equipment;
the scoring module is used for obtaining the current score according to the returned task completion information; wherein the task completion information corresponds to the system task information;
and the task reward module is used for obtaining and issuing current task reward data based on the current score and the user attribute label.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| CN202211546745.9A CN115983908A (en) | 2022-12-05 | 2022-12-05 | Data processing method, device and equipment based on metauniverse and readable storage medium |
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| CN202211546745.9A CN115983908A (en) | 2022-12-05 | 2022-12-05 | Data processing method, device and equipment based on metauniverse and readable storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117319226A (en) * | 2023-11-29 | 2023-12-29 | 中南大学 | Meta universe-based data processing method and device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117319226A (en) * | 2023-11-29 | 2023-12-29 | 中南大学 | Meta universe-based data processing method and device, electronic equipment and storage medium |
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