CN116305840B - Data interaction management platform for virtual reality server - Google Patents
Data interaction management platform for virtual reality server Download PDFInfo
- Publication number
- CN116305840B CN116305840B CN202310142939.0A CN202310142939A CN116305840B CN 116305840 B CN116305840 B CN 116305840B CN 202310142939 A CN202310142939 A CN 202310142939A CN 116305840 B CN116305840 B CN 116305840B
- Authority
- CN
- China
- Prior art keywords
- data
- interaction
- virtual
- self
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000003993 interaction Effects 0.000 title claims abstract description 104
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000000034 method Methods 0.000 claims description 17
- 238000007781 pre-processing Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000007726 management method Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 3
- 238000012549 training Methods 0.000 abstract description 11
- 230000000694 effects Effects 0.000 abstract description 3
- 230000002035 prolonged effect Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 11
- 238000002474 experimental method Methods 0.000 description 6
- 238000004088 simulation Methods 0.000 description 3
- 230000002708 enhancing effect Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/02—CAD in a network environment, e.g. collaborative CAD or distributed simulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The application discloses a data interaction management platform for a virtual reality server, which relates to the technical field of virtual interaction, solves the technical problems that when in interaction training, a server needs to change interaction logic at any time to cause overlong overall training interaction time, analyzes data processing efficiency of different periods of the server, divides different periods into self-updating periods and self-adapting periods, interacts virtual data with smaller capacity in the self-updating periods, interacts virtual data with larger capacity in the self-adapting periods, improves interaction efficiency, enhances overall interaction effect of the server, and interacts data packets belonging to the same kind of data sequentially, so that the interaction time can be shortened, and when the overall virtual data interaction is avoided, the overall interaction time of the server can be prolonged due to the fact that the interaction logic needs to change at any time, and the overall interaction efficiency is not high.
Description
Technical Field
The application belongs to the technical field of virtual interaction, and particularly relates to a data interaction management platform for a virtual reality server.
Background
The virtual reality technology, also called virtual reality or spirit technology, is a brand new practical technology developed in the 20 th century, and comprises a computer, electronic information and simulation technology, and the basic implementation manner is that the computer technology is mainly used, and the latest development achievements of various high technologies such as three-dimensional graphics technology, multimedia technology, simulation technology, display technology and servo technology are utilized and integrated.
The application with the patent publication number of CN112685924B relates to a data interaction method of virtual simulation resources and a virtual simulation experiment management platform, which comprises the following steps: the central server is used for establishing communication among the data exchange units in the data exchange module; the data exchange module comprises a data exchange unit before an experiment process, a data exchange unit in the experiment process and a data exchange unit after the experiment process; the experimental script uploading interface is used for storing the experimental uploading script in real time by a flow monitoring unit arranged in the central server, deleting invalid flows by the central server and storing the valid flows; and the central server judges report uploading integrity according to the experiment report flow obtained in real time and the experiment report actual flow, and simultaneously adjusts the text character spacing, the line spacing, the word size, the picture size and the video byte number in real time so as to enable the automatically generated experiment report to accord with a preset template.
In the process of data interaction training, the virtual reality server receives interaction training data and analyzes and trains the received interaction training data, in the specific training process, the overall efficiency of the server is low when the server is trained due to excessive and miscellaneous training data, and the virtual data is stored with data with various different attributes, so that the server needs to change interaction logic at any time during the interaction training, and the overall training interaction time is overlong.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art; therefore, the application provides a data interaction management platform for a virtual reality server, which is used for solving the technical problems that the overall efficiency of the server is lower when the server is trained due to excessive and miscellaneous training data, and the server needs to change interaction logic at any time when the server is used for interactive training due to the fact that multiple data with different attributes exist in the virtual data.
To achieve the above objective, according to an embodiment of a first aspect of the present application, a data interaction management platform for a virtual reality server is provided, including a data acquisition end, a data management center, and a display terminal;
the data management center comprises a data preprocessing unit, a pre-stored database, a self-adaptive analysis unit, a server and an interaction unit;
the data acquisition end is used for acquiring virtual data needing interaction and transmitting the acquired virtual data to the data management center;
the data preprocessing unit is used for receiving the obtained virtual data, analyzing the received virtual data, adjusting the virtual data, converting the virtual data into three groups of data packets, and transmitting the adjusted virtual data into a pre-stored database for pre-storing;
the pre-stored database is used for storing the three groups of data packets transmitted by the data preprocessing unit and transmitting the stored data packets into the interaction unit;
the self-adaptive analysis unit is used for extracting data processing parameters of the server, analyzing the data processing parameters, confirming the self-updating period and the normal period of the server, and transmitting the confirmed period into the interaction unit;
the interaction unit receives the determined self-updating time period and the self-adapting time period, performs data interaction between virtual data with different capacities in a pre-stored database and the server according to different attributes of the time period, enables the server to record corresponding interaction logic, and then performs virtual data interaction directly through the interaction logic.
Preferably, the specific way of the data preprocessing unit for analyzing the received virtual data is as follows:
identifying different attributes of different data in the virtual data, marking the different data with different attributes, respectively marking the different data as sound data, video data and parameter data, wherein the sound data and the video data are all in the parameter data, and marking the different sound data as SY i-k Marking different video data as SPs i-t Wherein i represents different virtual data, k represents different sound data, and t represents different video data;
to mark the voice data SP i-t And video data SY i-k Extracting from the parameter data, and inserting corresponding sound data marks and video data marks at the extraction positions;
binding the extracted sound data, video data and parameter data into three groups of different data packets, and transmitting the three groups of data packets into a pre-stored database for storage, wherein the data packets are externally provided with the same virtual data marks.
Preferably, the specific way of analyzing the data processing parameter by the adaptive analysis unit is as follows:
taking the current moment as a calibration moment, acquiring a plurality of groups of data processing parameters n days before the calibration moment, wherein n is generally 10;
and extracting the data processing parameters belonging to a single group of whole time periods and marking the data processing parameters as CL o-m Wherein o represents a different single set of integer periods, wherein m represents a number of data processing parameters of the single set of integer periods;
sequentially combining each set of data processing parameters CL o-m Comparing with a preset parameter Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, and when CL o-m When the number of the occurrence times of the early warning parameter is less than Y1, no processing is carried out, otherwise, the corresponding data processing parameter is marked as an early warning parameter, and the occurrence times of the early warning parameter is marked as KS o ；
Number of occurrences KS of the early warning parameter o Comparing with a preset parameter Y2, wherein Y2 is a preset value, the specific value is determined by an operator according to experience, and when KS o When the time is less than Y2, marking the corresponding single whole time period as a normal time period, otherwise, marking the corresponding single whole time period as an abnormal time period;
recording the times of occurrence of normal time periods and abnormal time periods of different single-group whole time periods, marking the corresponding single-group whole time periods as self-updating time periods when the times of occurrence of the abnormal time periods are larger than the times of occurrence of the normal time periods in the single-group whole time periods, otherwise marking the corresponding single-group whole time periods as self-adapting time periods, and transmitting the marked self-updating time periods and self-adapting time periods into the interaction unit.
Preferably, the specific way of the interaction unit for performing data interaction between the virtual data with different capacities in the pre-stored database and the server is as follows:
when the time period belongs to the self-updating time period, extracting virtual data with the capacity value smaller than X1 according to the virtual data mark, extracting corresponding three groups of data packets from a pre-stored database, when the time period belongs to the self-adaption time period, extracting virtual data with the capacity value larger than or equal to X1 according to the virtual data mark, and extracting corresponding data packets from a pre-set database for next processing;
sequentially performing data interaction on the three groups of data packets, sequentially performing interaction on the sound data packet, the video data packet and the parameter data packet, recording virtual data generated in the data interaction process with different marks, binding the marks with the corresponding virtual data, generating error signals when the data cannot be interacted, and transmitting the error signals to the display terminal;
after the interaction is completed, integrating a plurality of groups of virtual data through corresponding marks to obtain the interacted virtual data, and transmitting the interacted virtual data to a server.
Preferably, the display terminal is configured to display an error signal generated in the data interaction process.
Compared with the prior art, the application has the beneficial effects that: the method comprises the steps of obtaining virtual data in advance, receiving the obtained virtual data, analyzing the received virtual data, adjusting the virtual data, transmitting the adjusted virtual data into a pre-stored database for pre-storing, converting the virtual data into three groups of different data packets, facilitating subsequent processing, improving interaction efficiency and reducing interaction time;
and analyzing the data processing efficiency of different time periods of the server, dividing the different time periods into a self-updating time period and a self-adapting time period, in the self-updating time period, carrying out interaction on virtual data with smaller capacity, and in the self-adapting time period, carrying out interaction on virtual data with larger capacity, thereby improving the interaction efficiency, enhancing the overall interaction effect of the server, and carrying out interaction on data packets belonging to the same kind of data in sequence, so that the interaction time can be shortened, and the overall interaction time of the server can be prolonged because the interaction logic needs to be changed all the time when the overall virtual data is interacted, and the overall interaction efficiency is not high.
Drawings
Fig. 1 is a schematic diagram of a principle frame of the present application.
Description of the embodiments
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the application provides a data interaction management platform for a virtual reality server, which comprises a data acquisition end, a data management center and a display terminal;
the data acquisition end is electrically connected with the input end of the data management center, and the data management center is electrically connected with the input end of the display terminal;
the data management center comprises a data preprocessing unit, a pre-stored database, a self-adaptive analysis unit, a server and an interaction unit;
the data preprocessing unit is electrically connected with the input end of the pre-stored database, the server is electrically connected with the input end of the self-adaptive analysis unit, the self-adaptive analysis unit is electrically connected with the input end of the interaction unit, and the server is in bidirectional connection with the interaction unit;
the data acquisition end is used for acquiring virtual data needing interaction and transmitting the acquired virtual data to the data management center;
the data preprocessing unit is used for receiving the obtained virtual data, analyzing the received virtual data, adjusting the virtual data, and transmitting the adjusted virtual data into a pre-stored database for pre-storing, wherein the specific analysis mode is as follows:
identifying different attributes of different data in the virtual data and identifying the different attributesMarking different data as sound data, video data and parameter data, wherein the sound data and the video data are all in the parameter data, and marking different sound data as SY i-k Marking different video data as SPs i-t Wherein i represents different virtual data, k represents different sound data, and t represents different video data;
to mark the voice data SP i-t And video data SY i-k Extracting from the parameter data, and inserting corresponding sound data marks and video data marks at the extraction positions;
binding the extracted sound data, video data and parameter data into three groups of different data packets, and transmitting the three groups of data packets into a pre-stored database for storage, wherein the data packets are externally provided with the same virtual data marks.
The pre-stored database is used for storing the three groups of data packets transmitted by the data preprocessing unit and transmitting the stored data packets into the interaction unit;
the self-adaptive analysis unit is used for extracting data processing parameters of the server, analyzing the data processing parameters, confirming the self-updating period and the normal period of the server, and transmitting the confirmed period into the interaction unit, wherein the specific mode for analyzing is as follows:
taking the current moment as a calibration moment, acquiring a plurality of groups of data processing parameters n days before the calibration moment, wherein n is generally 10;
and extracting the data processing parameters belonging to a single group of whole time periods and marking the data processing parameters as CL o-m Wherein o represents a different single set of integer periods, wherein m represents a number of data processing parameters for the single set of integer periods, wherein each set of m is spaced 1 second apart;
sequentially combining each set of data processing parameters CL o-m Comparing with a preset parameter Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, and when CL o-m When < Y1, no treatment is performed, otherwise, the corresponding number is calculatedMarking the processing parameters as early warning parameters, and marking the occurrence times of the early warning parameters as KS o ；
Number of occurrences KS of the early warning parameter o Comparing with a preset parameter Y2, wherein Y2 is a preset value, the specific value is determined by an operator according to experience, and when KS o When the time is less than Y2, marking the corresponding single whole time period as a normal time period, otherwise, marking the corresponding single whole time period as an abnormal time period;
recording the times of the occurrence of normal time periods and abnormal time periods of different single-group whole time periods, marking the corresponding single-group whole time periods as self-updating time periods when the occurrence times of the abnormal time periods are larger than the occurrence times of the normal time periods in the single-group whole time periods, otherwise marking the corresponding single-group whole time periods as self-adapting time periods, and transmitting the marked self-updating time periods and self-adapting time periods into an interaction unit (specifically, 10 identical single-group whole time periods exist because the processed data are data in 10 days, some single-group whole time periods are normal time periods, and some single-group whole time periods are abnormal time periods), so that the corresponding single-group whole time periods are marked differently by analyzing the occurrence times.
The interaction unit receives the determined self-updating time period and the self-adapting time period, performs data interaction between virtual data with different capacities in a pre-stored database and the server according to different attributes of the time period, and enables the server to record corresponding interaction logic, and performs virtual data interaction directly through the interaction logic subsequently, wherein the specific mode of performing data interaction is as follows:
when the time period belongs to the self-updating time period, extracting the virtual data with the capacity value smaller than X1 (specifically, extracting preferentially according to the longer storage time and the longer storage time), extracting the corresponding three groups of data packets from a pre-stored database, when the time period belongs to the self-adaption time period, extracting the virtual data with the capacity value larger than or equal to X1, and extracting the corresponding data packets from the pre-set database for the next processing;
sequentially performing data interaction on the three groups of data packets, sequentially performing interaction on the sound data packet, the video data packet and the parameter data packet, recording virtual data generated in the data interaction process with different marks, and binding the marks with the corresponding virtual data;
after the interaction is completed, integrating a plurality of groups of virtual data through corresponding marks to obtain the interacted virtual data, and transmitting the interacted virtual data to a server.
The display terminal is used for displaying error signals generated in the data interaction process, and when the error signals are generated, the data interaction cannot be performed on the representation, and the corresponding data management center has the data interaction problem.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the application is as follows: the method comprises the steps of obtaining virtual data in advance, receiving the obtained virtual data, analyzing the received virtual data, adjusting the virtual data, transmitting the adjusted virtual data into a pre-stored database for pre-storing, converting the virtual data into three groups of different data packets, facilitating subsequent processing, improving interaction efficiency and reducing interaction time;
and analyzing the data processing efficiency of different time periods of the server, dividing the different time periods into a self-updating time period and a self-adapting time period, in the self-updating time period, carrying out interaction on virtual data with smaller capacity, and in the self-adapting time period, carrying out interaction on virtual data with larger capacity, thereby improving the interaction efficiency, enhancing the overall interaction effect of the server, and carrying out interaction on data packets belonging to the same kind of data in sequence, so that the interaction time can be shortened, and the overall interaction time of the server can be prolonged because the interaction logic needs to be changed all the time when the overall virtual data is interacted, and the overall interaction efficiency is not high.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (3)
1. The data interaction management platform for the virtual reality server is characterized by comprising a data acquisition end, a data management center and a display terminal;
the data management center comprises a data preprocessing unit, a pre-stored database, a self-adaptive analysis unit, a server and an interaction unit;
the data acquisition end is used for acquiring virtual data needing interaction and transmitting the acquired virtual data to the data management center;
the data preprocessing unit is used for receiving the obtained virtual data, analyzing the received virtual data, adjusting the virtual data, converting the virtual data into three groups of data packets, and transmitting the adjusted virtual data into a pre-stored database for pre-storing;
the pre-stored database is used for storing the three groups of data packets transmitted by the data preprocessing unit and transmitting the stored data packets into the interaction unit;
the self-adaptive analysis unit is used for extracting data processing parameters of the server, analyzing the data processing parameters, confirming the self-updating time period and the normal time period of the server, and transmitting the confirmed time period into the interaction unit, and the specific mode is as follows:
taking the current moment as a calibration moment, acquiring a plurality of groups of data processing parameters n days before the calibration moment;
and extracting the data processing parameters belonging to a single group of whole time periods and marking the data processing parameters as CL o-m Wherein o represents a different single set of integer periods, wherein m represents a number of data processing parameters of the single set of integer periods;
sequentially combining each set of data processing parameters CL o-m And preset parameter Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, and when CL o-m When the number of the occurrence times of the early warning parameter is less than Y1, no processing is carried out, otherwise, the corresponding data processing parameter is marked as an early warning parameter, and the occurrence times of the early warning parameter is marked as KS o ；
Number of occurrences KS of the early warning parameter o Comparing with a preset parameter Y2, wherein Y2 is a preset value, the specific value is determined by an operator according to experience, and when KS o When the time is less than Y2, marking the corresponding single whole time period as a normal time period, otherwise, marking the corresponding single whole time period as an abnormal time period;
recording the times of occurrence of normal time periods and abnormal time periods of different single-group whole time periods, marking the corresponding single-group whole time periods as self-updating time periods when the times of occurrence of the abnormal time periods are larger than the times of occurrence of the normal time periods in the single-group whole time periods, otherwise marking the corresponding single-group whole time periods as self-adapting time periods, and transmitting the marked self-updating time periods and self-adapting time periods into an interaction unit;
the interaction unit receives the determined self-updating time period and the self-adapting time period, performs data interaction between virtual data with different capacities in a pre-stored database and the server according to different attributes of the time period, enables the server to record corresponding interaction logic, and performs virtual data interaction directly through the interaction logic in the following specific modes:
when the time period belongs to the self-updating time period, extracting virtual data with the capacity value smaller than X1 according to the virtual data mark, extracting corresponding three groups of data packets from a pre-stored database, when the time period belongs to the self-adaption time period, extracting virtual data with the capacity value larger than or equal to X1 according to the virtual data mark, and extracting corresponding data packets from a pre-set database for next processing;
sequentially performing data interaction on the three groups of data packets, sequentially performing interaction on the sound data packet, the video data packet and the parameter data packet, recording virtual data generated in the data interaction process with different marks, binding the marks with the corresponding virtual data, generating error signals when the data cannot be interacted, and transmitting the error signals to the display terminal;
after the interaction is completed, integrating a plurality of groups of virtual data through corresponding marks to obtain the interacted virtual data, and transmitting the interacted virtual data to a server.
2. The data interaction management platform for a virtual reality server according to claim 1, wherein the data preprocessing unit analyzes the received virtual data in the following specific manner:
identifying different attributes of different data in the virtual data, marking the different data with different attributes, respectively marking the different data as sound data, video data and parameter data, wherein the sound data and the video data are all in the parameter data, and marking the different sound data as SY i-k Marking different video data as SPs i-t Wherein i represents different virtual data, k represents different sound data, and t represents different video data;
to mark the voice data SP i-t And video data SY i-k Extracting from the parameter data, and inserting corresponding sound data marks and video data marks at the extraction positions;
binding the extracted sound data, video data and parameter data into three groups of different data packets, and transmitting the three groups of data packets into a pre-stored database for storage, wherein the data packets are externally provided with the same virtual data marks.
3. The data interaction management platform for a virtual reality server according to claim 1, wherein the display terminal is configured to display an error signal generated during a data interaction process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310142939.0A CN116305840B (en) | 2023-02-21 | 2023-02-21 | Data interaction management platform for virtual reality server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310142939.0A CN116305840B (en) | 2023-02-21 | 2023-02-21 | Data interaction management platform for virtual reality server |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116305840A CN116305840A (en) | 2023-06-23 |
| CN116305840B true CN116305840B (en) | 2023-12-15 |
Family
ID=86821463
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310142939.0A Active CN116305840B (en) | 2023-02-21 | 2023-02-21 | Data interaction management platform for virtual reality server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116305840B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102281262A (en) * | 2010-06-12 | 2011-12-14 | 联想(北京)有限公司 | Electronic terminal and image generating method of electronic terminal |
| CN112363886A (en) * | 2020-11-10 | 2021-02-12 | 中国平安人寿保险股份有限公司 | Database monitoring method, system, terminal and storage medium |
| WO2021249414A1 (en) * | 2020-06-10 | 2021-12-16 | 阿里巴巴集团控股有限公司 | Data processing method and system, related device, and storage medium |
| CN115660288A (en) * | 2022-11-11 | 2023-01-31 | 新豪峰农业开发(珠海市)股份有限公司 | Analysis management system based on internet big data |
-
2023
- 2023-02-21 CN CN202310142939.0A patent/CN116305840B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102281262A (en) * | 2010-06-12 | 2011-12-14 | 联想(北京)有限公司 | Electronic terminal and image generating method of electronic terminal |
| WO2021249414A1 (en) * | 2020-06-10 | 2021-12-16 | 阿里巴巴集团控股有限公司 | Data processing method and system, related device, and storage medium |
| CN112363886A (en) * | 2020-11-10 | 2021-02-12 | 中国平安人寿保险股份有限公司 | Database monitoring method, system, terminal and storage medium |
| CN115660288A (en) * | 2022-11-11 | 2023-01-31 | 新豪峰农业开发(珠海市)股份有限公司 | Analysis management system based on internet big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116305840A (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106372113A (en) | News content pushing method and system | |
| CN108923999A (en) | A kind of net surfing server automatic performance test method and system | |
| CN113518012B (en) | Distributed cooperative flow simulation environment construction method and system | |
| CN108900830A (en) | Verify the platform that Infrared video image Processing Algorithm realizes accuracy | |
| CN110782549B (en) | ARINC767 specification-based flight recorder data decoding method and system | |
| CN116305840B (en) | Data interaction management platform for virtual reality server | |
| CN108696713A (en) | Safety detecting method, device and the test equipment of code stream | |
| CN106682014A (en) | Game display data generation method and device | |
| CN110992455B (en) | Real-time expression capture system | |
| CN115549862B (en) | MES system concurrency performance test data receiving method based on dynamic analysis | |
| CN115857826A (en) | Ship industrial control software data storage display system | |
| CN114781328A (en) | Method for visually arranging business process based on plaintext file | |
| CN115643124A (en) | PC simulation automobile CAN bus communication system | |
| CN113411517B (en) | Video template generation method and device, electronic equipment and storage medium | |
| CN105607957B (en) | A kind of data acquisition analysis system based on OPC DA | |
| CN113641717A (en) | Method and device for searching change of train operation diagram, electronic equipment and storage medium | |
| CN107145414A (en) | A kind of method and system stored for test distributed object | |
| CN109657404B (en) | Automatic fault diagnosis system for coal mining machine based on chaos correction group intelligent optimization | |
| CN106953756A (en) | The simulation time-delay method and server of a kind of business datum | |
| CN112199229A (en) | Data processing method, device, equipment and storage medium | |
| CN113760538A (en) | AI platform-based accelerator card type pipe control method, system and device | |
| CN112559377A (en) | Method and device for generating first test case | |
| CN117311697B (en) | AIGC-based large language model self-feedback type flow creation method and system | |
| CN112202985A (en) | Information processing method, client device, server device and information processing system | |
| CN105592097A (en) | Asynchronous interaction information method based on client |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20231123 Address after: No. 74-8 Shuangjian Road, Chenghua District, Chengdu City, Sichuan Province, 610051 Applicant after: Sichuan Wutong Technology Co.,Ltd. Address before: 272000 North Chengxin Avenue, economic development zone, Jinxiang County, Jining City, Shandong Province (Jinxiang branch of National University of Technology Science Park, Beigong University) Applicant before: Shandong Weichuang Precision Electronics Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |