CN115022350A - Cloud storage type mass data service platform - Google Patents
Cloud storage type mass data service platform Download PDFInfo
- Publication number
- CN115022350A CN115022350A CN202210734930.4A CN202210734930A CN115022350A CN 115022350 A CN115022350 A CN 115022350A CN 202210734930 A CN202210734930 A CN 202210734930A CN 115022350 A CN115022350 A CN 115022350A
- Authority
- CN
- China
- Prior art keywords
- playing
- cloud storage
- setting model
- intelligent setting
- state
- 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.)
- Withdrawn
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- 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)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention relates to a cloud storage type mass data service platform, which comprises: the content storage mechanism is realized by adopting a cloud storage server and is used for storing massive audio playing files, and the cloud storage server is respectively in network connection with each multimedia playing terminal managed by the cloud storage server and is used for providing file access permission for each multimedia playing terminal; the number selection device is arranged in the multimedia playing terminal and used for acquiring the number of times that each audio playing file is played in a plurality of historical days of a preset number in an automatic playing state to acquire a plurality of playing times and using the playing times as a plurality of input data of an intelligent setting model, and the intelligent setting model is operated to acquire the repeated playing times of the audio playing file in the automatic playing state on the same day. According to the invention, on the basis of cloud storage, the playing times of each multimedia data in the current day can be intelligently predicted according to the past playing condition of the multimedia data, and the playing times can be used as the replay times set in the automatic playing state.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a cloud storage type mass data service platform.
Background
The user can more simply and quickly expand the existing services and the new services required by the user by utilizing the quick deployment condition of the application software. For example, when a failure of a device occurs in a computer cloud computing system, a user is not hindered in a computer level or a specific application, and the dynamic expansion function of the computer cloud computing can be used to effectively expand other servers. This ensures that tasks are completed in order. Under the condition of dynamically expanding the virtualized resources, the application can be efficiently expanded, and the operation level of computer cloud computing is improved.
Currently, cloud computing is a main storage device in some application fields because of various advantages, however, cloud storage based on cloud computing is a relatively new technology, and popularization in some subdivided fields and design of related technical solutions still cannot meet requirements of people, for example, in terms of network services of mass media data, how to design a mature cloud storage mechanism and how to effectively utilize the cloud storage mechanism to achieve full-automatic play management of the media data is one of the problems to be solved.
Disclosure of Invention
In order to solve the above problems, the present invention provides a cloud storage type mass data service platform, which can adopt a cloud storage server to store mass audio playing files, provide a storage solution for each multimedia playing terminal managed by the cloud storage server, and intelligently predict the playing times of each multimedia data on the same day according to the past playing condition of the multimedia data on the basis of cloud storage, and use the playing times as the replay times set in an automatic playing state, thereby avoiding excessive user operations.
According to an aspect of the present invention, there is provided a cloud storage type mass data service platform, including:
the content storage mechanism is realized by adopting a cloud storage server and is used for storing massive audio playing files, and the cloud storage server is respectively in network connection with each multimedia playing terminal managed by the cloud storage server and is used for providing access permission of the massive audio playing files for each multimedia playing terminal;
the state adjusting device is arranged in the multimedia playing terminal and used for switching between an automatic playing state and a manual playing state under network setting or manual setting;
the number selection device is arranged in the multimedia playing terminal, connected with the state adjustment device and used for acquiring the number of times that each audio playing file is played in a plurality of historical days of which the number is set before in an automatic playing state so as to acquire a plurality of playing times and using the playing times as a plurality of input data of an intelligent setting model, operating the intelligent setting model so as to acquire output data of the intelligent setting model and using the output data as the number of times that the audio playing file is repeatedly played in the automatic playing state on the same day;
learning execution means, connected to the number selection means, for executing each learning action of a preset total number on the intelligent setting model before the number selection means uses the intelligent setting model;
wherein, the values of the plurality of historical days are in direct proportion to the total number of the massive audio playing files;
the number of the multimedia playing terminals managed by the cloud storage server is smaller, and the number of times of the executed learning action of the intelligent setting model is smaller;
wherein performing a preset total number of respective learning actions on the intelligent setting model before the number of times selecting means uses the intelligent setting model comprises: and taking a plurality of playing times corresponding to a plurality of historical days with a set number before a certain day of a certain audio playing file as a plurality of input data of the intelligent setting model, and taking the playing times of the certain audio playing file on the certain day as output data of the intelligent setting model, and executing a single learning action on the intelligent setting model.
According to another aspect of the present invention, there is also provided a cloud storage type mass data service method, including using the cloud storage type mass data service platform as described above to intelligently predict the number of times played in the current day according to the past playing number of each audio data in the multimedia playing terminal on the basis of adopting the cloud storage type mass audio data service, and to use the number as the repeated playing number set in the automatic playing state.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram illustrating a cloud storage type mass data service platform according to an embodiment of the present invention.
Fig. 2 is an internal structural diagram illustrating an intelligent setting model used by a cloud storage type mass data service platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the cloud storage type mass data service platform of the present invention will be described in detail below with reference to the accompanying drawings.
A more popular definition of artificial intelligence, also an earlier definition in the field, was proposed by JOHN MCCARTHY (JOHN MCCARTHY) in the darts lance meeting (dart outh reference) in 1956: artificial intelligence is intended to make the behavior of a machine look like the intelligent behavior exhibited by a human. But this definition seems to ignore the possibility of strong artificial intelligence (see below). Another definition refers to artificial intelligence being the intelligence exhibited by man-made machines. In general, the definition of artificial intelligence can be largely divided into four categories, namely, machines "think like a human", "act like a human", "think rationally", and "act rationally". "action" is to be understood here in a broad sense as taking an action, or making a decision on an action, rather than a limb action. Currently, cloud computing is a main storage device in some application fields because of various advantages, however, cloud storage based on cloud computing is a relatively new technology, and popularization in some subdivided fields and design of related technical solutions still cannot meet requirements of people, for example, in terms of network services of mass media data, how to design a mature cloud storage mechanism and how to effectively utilize the cloud storage mechanism to achieve full-automatic play management of the media data is one of the problems to be solved.
In order to overcome the defects, the cloud storage type mass data service platform is built, and the corresponding technical problem can be effectively solved.
The invention has the following outstanding technical effects: (1) the method comprises the steps that a cloud storage server is adopted to store massive audio playing files, and the cloud storage server is respectively in network connection with each multimedia playing terminal managed by the cloud storage server and is used for providing access permission of the massive audio playing files for each multimedia playing terminal; (2) for each multimedia playing terminal, intelligently predicting the playing times of the current day according to the past playing times of each audio data and taking the times as the repeated playing times set in the automatic playing state, thereby realizing the intelligent setting of the playing times of the audio data in the automatic playing state; (3) the number of input ends of the parameters of the intelligent setting model for realizing the repeated playing time prediction is in direct proportion to the total number of the massive audio playing files, and the smaller the number of the multimedia playing terminals managed by the cloud storage server is, the smaller the times of the executed learning actions of the intelligent setting model is.
Fig. 1 is a block diagram illustrating a structure of a cloud storage type mass data service platform according to an embodiment of the present invention, where the platform includes:
the content storage mechanism is realized by adopting a cloud storage server and is used for storing massive audio playing files, and the cloud storage server is respectively in network connection with each multimedia playing terminal managed by the cloud storage server and is used for providing access permission of the massive audio playing files for each multimedia playing terminal;
the state adjusting device is arranged in the multimedia playing terminal and used for switching between an automatic playing state and a manual playing state under network setting or manual setting;
the number selection device is arranged in the multimedia playing terminal, connected with the state adjustment device and used for acquiring the number of times that each audio playing file is played in a plurality of historical days of which the number is set before in an automatic playing state so as to acquire a plurality of playing times and using the playing times as a plurality of input data of an intelligent setting model, operating the intelligent setting model so as to acquire output data of the intelligent setting model and using the output data as the number of times that the audio playing file is repeatedly played in the automatic playing state on the same day;
as shown in fig. 2, an internal topology structure of an intelligent setting model used by the cloud storage type mass data service platform of the present invention is given;
in fig. 2, the intelligent setting model is based on a depth feedback neural network, the intelligent setting model has an input end, a hidden end and an output end, the input end comprises a plurality of input data, the output end comprises a single output data, and the number of the hidden ends is at least one;
learning execution means, connected to the number selection means, for executing each learning action of a preset total number on the intelligent setting model before the number selection means uses the intelligent setting model;
wherein, the values of the plurality of historical days are in direct proportion to the total number of the massive audio playing files;
the number of the multimedia playing terminals managed by the cloud storage server is smaller, and the number of times of the executed learning action of the intelligent setting model is smaller;
wherein executing a preset total number of respective learning actions on the intelligent setting model before the number of times selecting means uses the intelligent setting model comprises: and taking a plurality of playing times corresponding to a plurality of historical days with a set number before a certain day of a certain audio playing file as a plurality of input data of the intelligent setting model, and taking the playing times of the certain audio playing file on the certain day as output data of the intelligent setting model, and executing a single learning action on the intelligent setting model.
Next, a detailed description will be made of a specific structure of the cloud storage type mass data service platform of the present invention.
The cloud storage type mass data service platform can further comprise:
the time sequence control device is arranged in the multimedia playing terminal, is respectively connected with the state adjusting device, the frequency selecting device and the learning executing device, and is used for realizing the time sequence synchronous control of the state adjusting device, the frequency selecting device and the learning executing device;
wherein the timing control device includes a quartz oscillation unit, a first generation unit, a second generation unit, and a third generation unit;
the quartz oscillation unit is respectively connected with the first generation unit, the second generation unit and the third generation unit and is used for respectively providing reference clock signals for the first generation unit, the second generation unit and the third generation unit;
wherein the first generating unit, the second generating unit, and the third generating unit respectively generate synchronous clock signals required for the state adjusting device, the count selecting device, and the learning performing device based on the received reference clock signal, so as to realize timing synchronization control of the state adjusting device, the count selecting device, and the learning performing device.
The cloud storage type mass data service platform may further include:
the parallel data bus is arranged in the multimedia playing terminal, is respectively connected with the state adjusting device, the frequency selecting device and the learning executing device, and is used for realizing parallel data communication between the state adjusting device, the frequency selecting device and the learning executing device;
wherein the implementing of the parallel data communication between the state adjusting device, the number of times selecting device, and the learning performing device includes: the parallel data communication is one of 8 bits, 16 bits, and 32 bits.
In the cloud storage type mass data service platform:
acquiring the number of times each audio playing file is played in a plurality of historical days of a preset number in an automatic playing state to acquire a plurality of playing times and using the playing times as a plurality of input data of an intelligent setting model, and operating the intelligent setting model to acquire output data of the intelligent setting model and using the output data as the number of times the audio playing file is repeatedly played in the automatic playing state on the same day comprises the following steps: before the plurality of playing times are input into the intelligent setting model, binary coding processing is carried out on the plurality of playing times respectively to obtain a plurality of binary data sequences.
In the cloud storage type mass data service platform:
the method for performing the single learning action on the intelligent setting model by taking a plurality of playing times corresponding to a plurality of historical days of a certain audio playing file with a set number before a certain day as a plurality of input data of the intelligent setting model and taking the playing times of the certain audio playing file on the certain day as output data of the intelligent setting model comprises the following steps: the certain audio playback file is played back at least once on the certain day.
And the cloud storage type mass data service platform may further include:
the number selection device and the learning execution device enter a working mode when the multimedia playing terminal is in an automatic playing state;
and the times selection device and the learning execution device enter a power saving mode when the multimedia playing terminal is in a manual playing state.
Meanwhile, in order to overcome the defects, the invention also discloses a cloud storage type mass data service method which comprises the step of intelligently predicting the playing times of each piece of audio data in the multimedia playing terminal according to the past playing times of each piece of audio data in the multimedia playing terminal on the basis of adopting the cloud storage type mass audio data service by using the cloud storage type mass data service platform and taking the intelligently predicted playing times as the repeated playing times set in the automatic playing state.
In addition, in the cloud storage type mass data service platform, acquiring, in an automatic play state, a number of times that each audio play file is played in a plurality of historical days of a previous set number to obtain a plurality of play times and as a plurality of input data of an intelligent setting model, and operating the intelligent setting model to obtain output data of the intelligent setting model and as a number of times that the audio play file is repeatedly played in the automatic play state for the current day includes: the output data adopts a numerical representation mode of binary coding.
By adopting the cloud storage type mass data service platform, aiming at the technical problems that the application in the cloud storage subdivision field is immature and the automatic playing times of the media data are difficult to set in the prior art, the cloud storage server can be adopted to store mass audio playing files, a storage solution is provided for each multimedia playing terminal managed by the cloud storage server, and meanwhile, the playing times of each multimedia data on the same day are intelligently predicted according to the past playing condition of each multimedia data and are used as the replay times set in the automatic playing state, so that excessive user operation is avoided.
The preferred embodiments of the present invention have been discussed in detail so far, but these embodiments are only specific examples for clarifying the technical contents of the present invention. Therefore, the present invention should not be considered limited to these particular examples. The spirit and scope of the present invention are to be limited only by the terms of the appended claims.
Claims (10)
1. A cloud storage type mass data service platform, characterized in that the platform comprises:
the content storage mechanism is realized by adopting a cloud storage server and is used for storing massive audio playing files, and the cloud storage server is respectively in network connection with each multimedia playing terminal managed by the cloud storage server and is used for providing access permission of the massive audio playing files for each multimedia playing terminal;
the state adjusting device is arranged in the multimedia playing terminal and used for switching between an automatic playing state and a manual playing state under network setting or manual setting;
the time selection device is arranged in the multimedia playing terminal, is connected with the state adjustment device and is used for acquiring the playing times of each audio playing file in a plurality of historical days of which the number is set before in an automatic playing state so as to obtain a plurality of playing times and using the playing times as a plurality of input data of an intelligent setting model, operating the intelligent setting model so as to obtain output data of the intelligent setting model and using the output data as the repeated playing times of the audio playing file in the automatic playing state on the same day;
learning execution means, connected to the number selection means, for executing each learning action of a preset total number on the intelligent setting model before the number selection means uses the intelligent setting model;
wherein, the values of the plurality of historical days are in direct proportion to the total number of the massive audio playing files;
the number of the multimedia playing terminals managed by the cloud storage server is smaller, and the number of times of the executed learning action of the intelligent setting model is smaller;
wherein executing a preset total number of respective learning actions on the intelligent setting model before the number of times selecting means uses the intelligent setting model comprises: and taking a plurality of playing times corresponding to a plurality of historical days with a set number before a certain day of a certain audio playing file as a plurality of input data of the intelligent setting model, and taking the playing times of the certain audio playing file on the certain day as output data of the intelligent setting model, and executing a single learning action on the intelligent setting model.
2. The cloud storage mass data service platform of claim 1, wherein the platform further comprises:
and the time sequence control device is arranged in the multimedia playing terminal, is respectively connected with the state adjusting device, the frequency selecting device and the learning executing device, and is used for realizing the time sequence synchronous control of the state adjusting device, the frequency selecting device and the learning executing device.
3. The cloud storage type mass data service platform according to claim 2, wherein:
the timing control device includes a quartz oscillation unit, a first generation unit, a second generation unit, and a third generation unit.
4. The cloud storage type mass data service platform according to claim 3, wherein:
the quartz oscillation unit is respectively connected with the first generation unit, the second generation unit and the third generation unit and is used for respectively providing reference clock signals for the first generation unit, the second generation unit and the third generation unit.
5. The cloud storage type mass data service platform according to claim 4, wherein:
the first generation unit, the second generation unit, and the third generation unit respectively generate synchronous clock signals required for the state adjustment device, the count selection device, and the learning execution device based on the received reference clock signal, so as to realize timing synchronization control of the state adjustment device, the count selection device, and the learning execution device.
6. The cloud storage mass data service platform of claim 1, wherein the platform further comprises:
the parallel data bus is arranged in the multimedia playing terminal, is respectively connected with the state adjusting device, the frequency selecting device and the learning executing device, and is used for realizing parallel data communication between the state adjusting device, the frequency selecting device and the learning executing device;
wherein the implementing of the parallel data communication between the state adjusting device, the number of times selecting device, and the learning performing device includes: the parallel data communication is one of 8 bits, 16 bits, and 32 bits.
7. The cloud storage type mass data service platform according to any one of claims 1 to 6, wherein:
acquiring the number of times each audio playing file is played in a plurality of historical days of a preset number in an automatic playing state to acquire a plurality of playing times and using the playing times as a plurality of input data of an intelligent setting model, and operating the intelligent setting model to acquire output data of the intelligent setting model and using the output data as the number of times the audio playing file is repeatedly played in the automatic playing state on the same day comprises the following steps: before the plurality of playing times are input into the intelligent setting model, binary coding processing is carried out on the plurality of playing times respectively to obtain a plurality of binary data sequences.
8. The cloud storage type mass data service platform according to claim 7, wherein:
the method for performing the single learning action on the intelligent setting model by taking a plurality of playing times corresponding to a plurality of historical days of a certain audio playing file with a set number before a certain day as a plurality of input data of the intelligent setting model and taking the playing times of the certain audio playing file on the certain day as output data of the intelligent setting model comprises the following steps: the certain audio playback file is played at least once on the certain day.
9. The cloud storage type mass data service platform according to any one of claims 1 to 6, wherein:
the number selection device and the learning execution device enter a working mode when the multimedia playing terminal is in an automatic playing state;
and the times selection device and the learning execution device enter a power saving mode when the multimedia playing terminal is in a manual playing state.
10. A cloud storage type mass data service method, the method comprising using the cloud storage type mass data service platform according to any one of claims 1 to 9 to intelligently predict the number of times played in the day according to the past playing number of each audio data in a multimedia playing terminal on the basis of adopting a cloud storage type mass audio data service, and taking the number of times played repeatedly as a set number of times in an automatic playing state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210734930.4A CN115022350A (en) | 2022-06-18 | 2022-06-18 | Cloud storage type mass data service platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210734930.4A CN115022350A (en) | 2022-06-18 | 2022-06-18 | Cloud storage type mass data service platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115022350A true CN115022350A (en) | 2022-09-06 |
Family
ID=83076360
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210734930.4A Withdrawn CN115022350A (en) | 2022-06-18 | 2022-06-18 | Cloud storage type mass data service platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115022350A (en) |
-
2022
- 2022-06-18 CN CN202210734930.4A patent/CN115022350A/en not_active Withdrawn
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110502340A (en) | A kind of resource dynamic regulation method, device, equipment and storage medium | |
| CN105656688A (en) | State control method and device | |
| CN107678858B (en) | Application processing method, device, storage medium and electronic equipment | |
| Liu et al. | Mechanisms Design for Blockchain Storage Sustainability | |
| CN112581578A (en) | Cloud rendering system based on software definition | |
| CN109902056A (en) | A kind of method, apparatus of serial transmission, equipment and computer readable storage medium | |
| CN107423404A (en) | Flow instance data synchronizing processing method and device | |
| CN104317957A (en) | Open platform and system for processing reports and report processing method | |
| WO2023207035A1 (en) | Data synchronization method and apparatus, and device and storage medium | |
| CN102197387B (en) | Bootstrap rendezvous federation | |
| CN111125131B (en) | Two-stage consensus blockchain system with state buffering capability and deployment method | |
| CN113033769A (en) | Probability calculation neural network method and asynchronous logic circuit | |
| CN103873380A (en) | Method, device and system for adjusting data distribution strategy | |
| CN101312519A (en) | Data frame processing method and apparatus | |
| CN115022350A (en) | Cloud storage type mass data service platform | |
| CN110175171B (en) | System for IT equipment intelligent recommendation of on-shelf position | |
| CN116225153A (en) | Chip clock management method and device, chip and electronic equipment | |
| CN110941476B (en) | Control method, control device and control equipment for virtual machine live migration | |
| CN113837586A (en) | Virtual-real synchronous operation method and device of digital twin transformer substation | |
| CN111309253B (en) | Method, device, equipment and storage medium for converting state of machine case port | |
| Piacentini et al. | Solving realistic unit commitment problems using temporal planning: Challenges and solutions | |
| CN113240186A (en) | Method and device for testing water balance of thermal power plant | |
| CN111786824A (en) | Data center energy efficiency ratio optimization method, system, equipment and readable storage medium | |
| CN113507405B (en) | Virtual network node rapid construction method based on virtual resource pool | |
| CN111310260A (en) | BIM (building information modeling) model version storage conversion method based on distributed storage architecture |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220906 |
|
| WW01 | Invention patent application withdrawn after publication |