CN112527560A - Data backup method and device based on self-adaption of Internet of things terminal - Google Patents
Data backup method and device based on self-adaption of Internet of things terminal Download PDFInfo
- Publication number
- CN112527560A CN112527560A CN202011424915.7A CN202011424915A CN112527560A CN 112527560 A CN112527560 A CN 112527560A CN 202011424915 A CN202011424915 A CN 202011424915A CN 112527560 A CN112527560 A CN 112527560A
- Authority
- CN
- China
- Prior art keywords
- backup
- data
- parameters
- backed
- terminal
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the application discloses a data backup method and device based on self-adaption of an Internet of things terminal, and the method comprises the following steps: acquiring current backup parameters of the terminal, and forming current backup conditions based on preset condition parameters; in combination with the backup parameters, when the backup conditions are met, transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup; the current backup parameters of the terminal are obtained by any one of the following modes: user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model. According to the technical scheme provided by the embodiment of the application, the local backup end or the cloud backup end is automatically selected for backup under different conditions when the backup condition is completely met or partially met through different conditions of the backup parameters.
Description
Technical Field
The embodiment of the application relates to the technical field of data communication, in particular to a data backup method and device based on self-adaption of an Internet of things terminal.
Background
Data backup refers to a process of copying all or part of a data set from a hard disk or an array of an application host to another storage medium in order to prevent data loss caused by system misoperation or system failure. With the increase of personal electronic devices, it is more and more common that a user owns multiple personal electronic devices (for example, a user owns their own mobile phone, computer, tablet computer, etc.), and in order to allow the user to share some data among multiple devices, and to prevent personal data from being lost, the application of data backup is more and more common.
The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network. In the conventional data backup of the internet of things, a user side actively initiates a backup process when data backup is needed, the time for initiating the backup and the selection of a backup end depend on the user, and when the amount of data to be backed up is huge and the number of terminals to be backed up is large, the efficiency is greatly reduced due to the active operation mode of the user.
Disclosure of Invention
The embodiment of the application provides a self-adaptive data backup method based on an Internet of things terminal, so that data can be automatically backed up according to the self condition of the terminal, and the backup efficiency is improved.
In a first aspect, an embodiment of the present application provides a data backup method based on terminal adaptation of an internet of things, including:
acquiring current backup parameters of the terminal, and forming current backup conditions based on preset condition parameters;
in combination with the backup parameters, when the backup conditions are met, transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup;
the current backup parameters of the terminal are obtained by any one of the following modes:
user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
Further, the backup parameter output model is obtained by:
acquiring historical operating parameters and historical data attributes of the terminal, and historical backup parameters corresponding to the historical operating parameters;
and constructing a backup parameter output model according to the historical operating parameters, the historical data attributes and the historical backup parameters.
Further, the operation parameters include time nodes, working temperature, network data and data transmission rate, and the data attributes include data capacity and data type of the data to be backed up; the backup parameters comprise a target backup end, and the target backup end represents a local backup end or a cloud backup end.
Further, the backup conditions include a transmission time, a transmission rate threshold, an operating temperature threshold, a network data threshold, and a data capacity threshold; the condition of meeting the backup is that all backup conditions are met or partial backup conditions are met;
and when all backup conditions are met and the data capacity of the data to be backed up is greater than a first threshold value, transmitting the data to be backed up to the cloud backup end.
Further, when all backup conditions are met, the data capacity of the data to be backed up is greater than a first threshold value, and the data transmission rate is greater than a second threshold value, sending a transmission process adjusting instruction to the cloud backup end to increase a transmission process between the cloud backup end and the cloud backup end; the data to be backed up comprises a plurality of data, and each data comprises a plurality of data frames;
the transmission of the data to be backed up to the cloud backup end is as follows: and sequentially transmitting the data frames in the data to be backed up to a cloud backup end, wherein two adjacent data frames are transmitted by adopting different transmission processes.
Further, when the partial backup condition is met and the data transmission rate threshold is lower than the third threshold, the data to be backed up is transmitted to one local backup end and the cloud backup end at the same time, or the data to be backed up is transmitted to two local backup ends at the same time.
Further, when the partial backup condition is met, the data transmission rate threshold is lower than the third threshold, and the data capacity of the data to be backed up is greater than the first threshold, acquiring retransmission rate data, and when the retransmission rate meets the retransmission threshold, transmitting the data to be backed up to one local backup terminal and the cloud backup terminal at the same time, or transmitting the data to be backed up to two local backup terminals at the same time.
In a second aspect, an embodiment of the present application provides an internet of things terminal adaptive data backup device, including:
a backup parameter acquisition module: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring current backup parameters of a terminal and forming current backup conditions based on preset condition parameters;
the data backup transmission module: the backup server is used for transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup when the backup condition is met by combining the backup parameters;
the current backup parameters of the terminal are obtained by any one of the following modes:
user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
Further, the backup parameter output model is obtained by:
acquiring historical operating parameters and historical data attributes of the terminal, and historical backup parameters corresponding to the historical operating parameters;
and constructing a backup parameter output model according to the historical operating parameters, the historical data attributes and the historical backup parameters.
Further, the operation parameters include time nodes, working temperature, network data and data transmission rate, and the data attributes include data capacity and data type of the data to be backed up; the backup parameters comprise a target backup end, and the target backup end represents a local backup end or a cloud backup end.
Further, the backup conditions include a transmission time, a transmission rate threshold, an operating temperature threshold, a network data threshold, and a data capacity threshold; the condition of meeting the backup is that all backup conditions are met or partial backup conditions are met;
and when all backup conditions are met and the data capacity of the data to be backed up is greater than a first threshold value, transmitting the data to be backed up to the cloud backup end.
Further, when all backup conditions are met, the data capacity of the data to be backed up is greater than a first threshold value, and the data transmission rate is greater than a second threshold value, sending a transmission process adjusting instruction to the cloud backup end to increase a transmission process between the cloud backup end and the cloud backup end; the data to be backed up comprises a plurality of data, and each data comprises a plurality of data frames;
the transmission of the data to be backed up to the cloud backup end is as follows: and sequentially transmitting the data frames in the data to be backed up to a cloud backup end, wherein two adjacent data frames are transmitted by adopting different transmission processes.
Further, when the partial backup condition is met and the data transmission rate threshold is lower than the third threshold, the data to be backed up is transmitted to one local backup end and the cloud backup end at the same time, or the data to be backed up is transmitted to two local backup ends at the same time.
Further, when the partial backup condition is met, the data transmission rate threshold is lower than the third threshold, and the data capacity of the data to be backed up is greater than the first threshold, acquiring retransmission rate data, and when the retransmission rate meets the retransmission threshold, transmitting the data to be backed up to one local backup terminal and the cloud backup terminal at the same time, or transmitting the data to be backed up to two local backup terminals at the same time.
In a third aspect, an embodiment of the present application provides a computer device, including: a memory and one or more processors;
the memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for data backup based on terminal adaptation of the internet of things according to the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the method for data backup based on terminal adaptation of the internet of things according to the first aspect.
According to the embodiment of the application, the backup parameters of the terminal of the Internet of things are automatically acquired, and the local backup terminal or the cloud backup terminal is automatically selected for backup under different conditions when the backup conditions are completely met or partially met through different conditions of the backup parameters.
Drawings
Fig. 1 is a flowchart of a data backup method based on terminal adaptation of the internet of things according to an embodiment of the present application;
fig. 2 is a flowchart of another data backup method based on terminal adaptation of the internet of things according to the embodiment of the present application;
fig. 3 is a schematic structural diagram of a data backup device based on terminal adaptation of the internet of things according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The embodiment of the application provides a self-adaptive data backup method and device based on an Internet of things terminal, which automatically acquire backup parameters of the terminal, and automatically select a local backup end or a cloud backup end to backup under different conditions when the backup conditions are completely met or partially met through different conditions of the backup parameters.
Fig. 1 and fig. 2 respectively show flowcharts provided in two different embodiments of the present application, where the data backup method based on terminal adaptation in the internet of things provided in the embodiments of the present application may be executed by a data backup apparatus based on terminal adaptation in the internet of things, and the data backup apparatus based on terminal adaptation in the internet of things may be implemented in a hardware and/or software manner and integrated in a computer device.
The application is applied to the terminal of the Internet of things, the terminal of the Internet of things comprises any intelligent equipment, such as intelligent equipment of a smart phone, a tablet computer, a notebook computer, a desktop computer, an intelligent watch and the like, and meanwhile, the terminal can also be a server. The server can be an independent physical server, can also be a server cluster or a distributed system formed by a plurality of physical servers, and can also provide cloud servers of basic cloud computing servers such as a cloud server, a cloud database, cloud computing, cloud communication, a big database, an artificial intelligence platform and the like. The terminal and the backup terminal communicate with each other through a communication network, which may be a wide area network or a local area network. The connection between the terminal and the backup terminal can be through wired network or wireless network communication, and can be direct communication or indirect communication. In the embodiment of the application, the terminal actively acquires the self operating condition and the like, and automatically transmits the data to be backed up to the backup end, so that the terminal serves as a sending end and the backup end serves as a receiving end.
The following description will be given by taking as an example a data backup method for executing the data backup device based on the terminal adaptation of the internet of things. Referring to fig. 1, the data backup method based on the terminal adaptation of the internet of things includes:
s101: and acquiring the current backup parameters of the terminal, and forming the current backup conditions based on the preset condition parameters.
The current backup parameters of the terminal are obtained by the terminal which actively initiates the terminal when the current backup parameters reach the triggering condition. The backup data can be collected by a plurality of collecting devices integrated in the terminal.
The current backup parameters of the terminal are obtained by any one of the following modes: user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
The user actively inputs the backup parameters, which means that the user starts an input device of the terminal by operating the terminal and inputs the backup parameters according to actual requirements. For example, the backup parameter set by the user is to perform data backup once every preset time, and then automatically transmit the data to be backed up to the backup end every preset time. For another example, the backup parameter set by the user is a fixed time point, data backup is performed at the time point, and when the time point is reached, a process of transmitting data to be backed up is executed. For example, the backup parameter set by the user is the data capacity of the data to be backed up, and when the data capacity of the data to be backed up reaches a set threshold, the data to be backed up is automatically transmitted to the backup end.
The backup parameter output model is set in advance, and historical operating parameters and historical data attributes of the terminal and historical backup parameters corresponding to the historical operating parameters are obtained; and constructing and forming a backup parameter output model according to the historical operating parameters, the historical data attributes and the historical backup parameters. The selected historical operating parameters and the selected historical data attributes are mutually corresponding, namely the historical operating parameters are historical backup parameters corresponding to the same group of historical operating parameters, and the historical data attributes are also corresponding to the historical backup parameters. According to the backup parameters which are executed when the operation parameters and the data attributes correspond to the conditions in the past and are used as references, the function fitting and the optimization are carried out through the data with enough sample capacity, and a backup parameter output model is established, so that the current backup parameters can be obtained by acquiring the current operation parameters and the data attributes of the terminal and inputting the current operation parameters and the data attributes into the backup parameter output model.
In the embodiment of the application, the operation parameters comprise time nodes, working temperature, network data and data transmission rate, and the data attributes comprise data capacity and data type of data to be backed up; the backup parameters comprise a target backup end, and the target backup end represents a local backup end or a cloud backup end.
The backup parameters generally include a plurality of backup conditions of the data to be backed up, or a backup operating environment of the terminal or an operating result representation, such as a normal communication network, a qualified data transmission rate, and the like. In this step, in forming the current backup condition based on the preset condition parameters, the preset condition parameters are usually actively input by the user, and the preset condition parameters are processed, screened, integrated, and the like to form the backup condition. For example, the preset condition includes a maximum operating temperature at which data to be backed up is transmitted. And combining the backup parameters with preset condition parameters to form backup conditions.
S102: and combining the backup parameters, and transmitting the data to be backed up to one or more local backup terminals when the backup conditions are met.
In this application, the backup conditions include a transmission time, a transmission rate threshold, an operating temperature threshold, a network data threshold, and a data capacity threshold. In this embodiment, the condition that the backup is satisfied is that a partial backup condition is satisfied. That is, at least one of the backup conditions is not satisfactory, and may be an operating temperature threshold mismatch, a data capacity threshold mismatch, or a network data threshold mismatch.
And when the partial backup condition is met, transmitting the data to be backed up to one or more local backup terminals. Further, as a preferred embodiment, when the partial backup condition is met and the data transmission rate threshold is lower than the third threshold, the data to be backed up is transmitted to the two local backup terminals at the same time. The embodiment emphasizes the condition of transmitting the data to be backed up to the local backup end, and backups two copies of the data to be backed up at the same time aiming at the condition that the data transmission rate threshold value does not meet the backup condition, namely the transmission rate does not meet the standard, so that the loss of data packet in the backup process due to the transmission rate problem is avoided.
In another embodiment, when the partial backup condition is satisfied, and the data transmission rate threshold is lower than the third threshold, and the data capacity of the data to be backed up is greater than the first threshold, the retransmission rate data is acquired, and when the retransmission rate satisfies the retransmission threshold, the data to be backed up is transmitted to the two local backup terminals at the same time. In this embodiment, partial backup conditions are satisfied, and the unsatisfied backup conditions include a data transmission rate threshold and a data capacity of data to be backed up, and on the premise that the data transmission rate threshold and the data capacity of the data to be backed up do not meet the standards, retransmission rate data is acquired. In the present embodiment, the retransmission rate data may be obtained by the terminal through statistics based on the past retransmission experience and stored in its own memory, or may be obtained by direct calling.
As shown in fig. 2, in another embodiment of the present invention, the method for adaptively backing up data based on an internet of things terminal includes the following steps:
s201: and acquiring the current backup parameters of the terminal, and forming the current backup conditions based on the preset condition parameters.
In this embodiment, as in the first embodiment, the current backup parameter of the terminal is obtained in any one of the following manners: user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
The backup parameter output model is obtained by the following method: acquiring historical operating parameters and historical data attributes of the terminal, and historical backup parameters corresponding to the historical operating parameters; and constructing a backup parameter output model according to the historical operating parameters, the historical data attributes and the historical backup parameters. The operation parameters comprise time nodes, working temperature, network data and data transmission rate, and the data attributes comprise the data capacity and the data type of the data to be backed up; the backup parameters comprise a target backup end, and the target backup end represents a local backup end or a cloud backup end.
S202: and combining the backup parameters, and transmitting the data to be backed up to a cloud backup end for backup when the backup conditions are met.
The difference between the present embodiment and the first embodiment is mainly that, when the backup condition is satisfied, the present embodiment transmits the data to be backed up to the cloud backup side.
And when all backup conditions are met and the data capacity of the data to be backed up is greater than a first threshold value, transmitting the data to be backed up to the cloud backup end.
When all backup conditions are met, further, when all backup conditions are met, the data capacity of the data to be backed up is larger than a first threshold value, and the data transmission rate is larger than a second threshold value, a transmission process adjusting instruction is sent to the cloud backup end, so that the transmission process between the cloud backup end and the cloud backup end is increased; the data to be backed up comprises a plurality of data, and each data comprises a plurality of data frames.
The transmission of the data to be backed up to the cloud backup end is as follows: and sequentially transmitting the data frames in the data to be backed up to a cloud backup end, wherein two adjacent data frames are transmitted by adopting different transmission processes. The transmission efficiency is improved by increasing the transmission progress when all backup conditions are met and the data transmission rate is sufficient. The data frames in the data to be backed up are sequentially transmitted to the cloud backup end, namely, the data frames are sequentially transmitted according to the arrangement sequence of the data frames and the arrangement sequence of the data in the data to be backed up. And every two adjacent frames of data are transmitted through different transmission processes, so that the transmission efficiency is greatly improved. The number of transmission processes can be increased to 3, 2 or other numbers, and can be adjusted according to the data capacity of the data to be backed up.
The condition of satisfying the backup includes satisfying all the backup conditions and satisfying partial backup conditions. In the embodiment, when the data transmission rate threshold value does not reach the standard and is lower than the third threshold value, the data to be backed up is transmitted to the local backup end and the cloud backup end simultaneously, that is, the data to be backed up is stored in two different ways at different places, so that the backup safety is improved, the problem of loss caused by data packet loss in backup due to insufficient data transmission rate is also avoided, and the backup reliability is improved by two backups.
Correspondingly, when the partial backup condition is met, the data transmission rate threshold is lower than the third threshold, and the data capacity of the data to be backed up is larger than the first threshold, the retransmission rate data is acquired, and when the retransmission rate meets the retransmission threshold, the data to be backed up is transmitted to a local backup end and a cloud backup end at the same time.
As shown in fig. 3, an embodiment of the present invention further provides a data backup device based on terminal adaptation of the internet of things, which includes a backup parameter obtaining module 31 and a data backup transmission module 32. The backup parameter obtaining module 31 is configured to obtain a current backup parameter of the terminal, and form a current backup condition based on a preset condition parameter; the data backup transmission module 32 is configured to, in combination with the backup parameters, transmit the data to be backed up to one or more local backup terminals and/or cloud backup terminals for backup when the backup conditions are met. The current backup parameters of the terminal are obtained by any one of the following modes: the first is user active input; and secondly, acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
As a preferred embodiment of the present invention, the backup parameter output model is obtained by: acquiring historical operating parameters and historical data attributes of the terminal, and historical backup parameters corresponding to the historical operating parameters; and constructing a backup parameter output model according to the historical operating parameters, the historical data attributes and the historical backup parameters.
As a preferred embodiment of the present invention, the operation parameters include a time node, an operating temperature, network data, and a data transmission rate, and the data attributes include a data capacity and a data type of data to be backed up; the backup parameters comprise a target backup end, and the target backup end represents a local backup end or a cloud backup end.
Based on the technical means, the backup condition comprises transmission time, a transmission rate threshold, an operating temperature threshold, a network data threshold and a data capacity threshold; the condition of meeting the backup is that all backup conditions are met or partial backup conditions are met; and when all backup conditions are met and the data capacity of the data to be backed up is greater than a first threshold value, transmitting the data to be backed up to the cloud backup end.
Further, when all backup conditions are met, the data capacity of the data to be backed up is greater than a first threshold value, and the data transmission rate is greater than a second threshold value, sending a transmission process adjusting instruction to the cloud backup end to increase a transmission process between the cloud backup end and the cloud backup end; the data to be backed up comprises a plurality of data, and each data comprises a plurality of data frames;
the transmission of the data to be backed up to the cloud backup end is as follows: and sequentially transmitting the data frames in the data to be backed up to a cloud backup end, wherein two adjacent data frames are transmitted by adopting different transmission processes.
The condition of satisfying the backup may correspond to the condition of satisfying a part of the correspondence conditions, in addition to the condition of satisfying all the backup conditions. And when the partial backup condition is met and the data transmission rate threshold is lower than a third threshold, transmitting the data to be backed up to one local backup end and the cloud backup end simultaneously, or transmitting the data to be backed up to two local backup ends simultaneously.
And when the partial backup condition is met, the data transmission rate threshold is lower than the third threshold, and the data capacity of the data to be backed up is larger than the first threshold, acquiring retransmission rate data, and when the retransmission rate meets the retransmission threshold, transmitting the data to be backed up to one local backup end and the cloud backup end simultaneously, or transmitting the data to be backed up to two local backup ends simultaneously.
An embodiment of the present application further provides a computer device, including: a memory and one or more processors; the memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the data backup method based on the terminal adaptation of the internet of things according to the first aspect, the data backup method includes acquiring current backup parameters of the terminal, and forming current backup conditions based on preset condition parameters; and combining the backup parameters, and transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup when the backup conditions are met. The current backup parameters of the terminal are obtained by any one of the following modes: user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
Embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the data backup method based on terminal adaptation of the internet of things provided in the foregoing embodiments, where the data backup method based on terminal adaptation of the internet of things includes: acquiring current backup parameters of the terminal, and forming current backup conditions based on preset condition parameters; and combining the backup parameters, and transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup when the backup conditions are met. The current backup parameters of the terminal are obtained by any one of the following modes: user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the data backup method based on the terminal adaptation of the internet of things as described above, and may also perform related operations in the data backup method based on the terminal adaptation of the internet of things as provided in any embodiments of the present application.
The data backup device, the equipment and the storage medium based on the terminal adaptation of the internet of things provided in the embodiments may execute the data backup method based on the terminal adaptation of the internet of things provided in any embodiments of the present application, and reference may be made to the data backup method based on the terminal adaptation of the internet of things provided in any embodiments of the present application without detailed technical details described in the embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. The self-adaptive data backup method based on the Internet of things terminal is characterized by comprising the following steps:
acquiring current backup parameters of the terminal, and forming current backup conditions based on preset condition parameters;
in combination with the backup parameters, when the backup conditions are met, transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup;
the current backup parameters of the terminal are obtained by any one of the following modes:
user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
2. The data backup method according to claim 1, wherein the backup parameter output model is obtained by:
acquiring historical operating parameters and historical data attributes of the terminal, and historical backup parameters corresponding to the historical operating parameters;
and constructing a backup parameter output model according to the historical operating parameters, the historical data attributes and the historical backup parameters.
3. The data backup method according to claim 1, wherein the operation parameters comprise time node, operating temperature, network data, data transmission rate, and the data attributes comprise data capacity and data type of the data to be backed up; the backup parameters comprise a target backup end, and the target backup end represents a local backup end or a cloud backup end.
4. The data backup method according to claim 3, wherein the backup condition comprises a transmission time, a transmission rate threshold, an operating temperature threshold, a network data threshold, a data capacity threshold; the condition of meeting the backup is that all backup conditions are met or partial backup conditions are met;
and when all backup conditions are met and the data capacity of the data to be backed up is greater than a first threshold value, transmitting the data to be backed up to the cloud backup end.
5. The data backup method according to claim 4, wherein when all backup conditions are met, and the data capacity of the data to be backed up is greater than a first threshold and the data transmission rate is greater than a second threshold, sending a transmission process adjustment instruction to the cloud backup end to increase the transmission process with the cloud backup end; the data to be backed up comprises a plurality of data, and each data comprises a plurality of data frames;
the transmission of the data to be backed up to the cloud backup end is as follows: and sequentially transmitting the data frames in the data to be backed up to a cloud backup end, wherein two adjacent data frames are transmitted by adopting different transmission processes.
6. The data backup method according to claim 4, wherein when the partial backup condition is satisfied and the data transmission rate threshold is lower than a third threshold, the data to be backed up is transmitted to one local backup end and the cloud backup end at the same time, or the data to be backed up is transmitted to two local backup ends at the same time.
7. The data backup method according to claim 4, wherein when the partial backup condition is satisfied, the data transmission rate threshold is lower than the third threshold, and the data capacity of the data to be backed up is greater than the first threshold, the retransmission rate data is acquired, and when the retransmission rate satisfies the retransmission threshold, the data to be backed up is transmitted to one local backup terminal and the cloud backup terminal at the same time, or the data to be backed up is transmitted to two local backup terminals at the same time.
8. Data backup device based on thing networking terminal self-adaptation, its characterized in that includes:
a backup parameter acquisition module: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring current backup parameters of a terminal and forming current backup conditions based on preset condition parameters;
the data backup transmission module: the backup server is used for transmitting the data to be backed up to one or more local backup ends and/or cloud backup ends for backup when the backup condition is met by combining the backup parameters;
the current backup parameters of the terminal are obtained by any one of the following modes:
user active input; or acquiring the operation parameters and the data attributes of the terminal, and inputting the operation parameters and the data attributes to a preset backup parameter output model.
9. A computer device, comprising: a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method for adaptive data backup based on internet of things terminal as recited in any of claims 1-7.
10. A storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the internet of things terminal-adaptive data backup method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011424915.7A CN112527560A (en) | 2020-12-09 | 2020-12-09 | Data backup method and device based on self-adaption of Internet of things terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011424915.7A CN112527560A (en) | 2020-12-09 | 2020-12-09 | Data backup method and device based on self-adaption of Internet of things terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112527560A true CN112527560A (en) | 2021-03-19 |
Family
ID=74996745
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011424915.7A Pending CN112527560A (en) | 2020-12-09 | 2020-12-09 | Data backup method and device based on self-adaption of Internet of things terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112527560A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105511985A (en) * | 2015-12-01 | 2016-04-20 | 魅族科技（中国）有限公司 | Data backup method and terminal |
| CN106569917A (en) * | 2016-11-07 | 2017-04-19 | 广东欧珀移动通信有限公司 | Data backup method and mobile terminal |
| CN108733508A (en) * | 2017-04-17 | 2018-11-02 | 伊姆西Ip控股有限责任公司 | Method and system for controlling data backup |
| CN109800105A (en) * | 2018-12-03 | 2019-05-24 | 华为技术有限公司 | A kind of data back up method and terminal device |
| US20190251002A1 (en) * | 2017-08-31 | 2019-08-15 | International Business Machines Corporation | Backup optimization in hybrid storage environment |
-
2020
- 2020-12-09 CN CN202011424915.7A patent/CN112527560A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105511985A (en) * | 2015-12-01 | 2016-04-20 | 魅族科技（中国）有限公司 | Data backup method and terminal |
| CN106569917A (en) * | 2016-11-07 | 2017-04-19 | 广东欧珀移动通信有限公司 | Data backup method and mobile terminal |
| CN108733508A (en) * | 2017-04-17 | 2018-11-02 | 伊姆西Ip控股有限责任公司 | Method and system for controlling data backup |
| US20190251002A1 (en) * | 2017-08-31 | 2019-08-15 | International Business Machines Corporation | Backup optimization in hybrid storage environment |
| CN109800105A (en) * | 2018-12-03 | 2019-05-24 | 华为技术有限公司 | A kind of data back up method and terminal device |
Non-Patent Citations (1)
| Title |
|---|
| 罗辉: "《职业院校智慧校园建设与应用指南》", 31 January 2019 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111901157B (en) | Service deployment method, device, equipment and medium based on k8s | |
| CN105991752B (en) | A kind of data block update method and equipment | |
| CN103944979A (en) | Method, device and system for message pushing | |
| CN108875035B (en) | Data storage method of distributed file system and related equipment | |
| CN110912972A (en) | Service processing method, system, electronic equipment and readable storage medium | |
| CN109739435A (en) | File storage and update method and device | |
| CN115277727B (en) | Data disaster recovery method, system, device and storage medium | |
| CN111400041A (en) | Server configuration file management method and device and computer readable storage medium | |
| CN112887416B (en) | Frequency adjustment method and device for sending keep-alive packets | |
| CN102025782A (en) | Point-to-point communication method, device and system | |
| CN112527560A (en) | Data backup method and device based on self-adaption of Internet of things terminal | |
| CN113163008A (en) | Connection intelligent management method and device of network service system and related equipment thereof | |
| US11003508B2 (en) | Apparatus and methods for load balancing across a network of nodes | |
| CN112527561B (en) | Data backup method and device based on Internet of things cloud storage | |
| CN112491508B (en) | Data transmission method and device based on transmission process self-adaption | |
| CN115189910A (en) | Network digital twin-based deliberate attack survivability evaluation method | |
| CN113422739B (en) | Data transmission method, sending end and data transmission system | |
| CN109245941A (en) | A kind of service compensation method and device | |
| CN111083182B (en) | Distributed Internet of things equipment management method and device | |
| US20210250243A1 (en) | Node Switching Method, Network Node, Network System and Storage Medium | |
| CN112532346A (en) | Link self-adaption method and device based on user time requirement | |
| CN110597540A (en) | Version updating method and device of financial terminal, server and storage medium | |
| CN111355768B (en) | Video data transmission method and device and electronic equipment | |
| CN117478299B (en) | Block chain consensus algorithm switching method, device and computer equipment | |
| US11803496B2 (en) | Systems, apparatus, and methods for electing a new broker for a channel on an MQTT bus |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210319 |
|
| RJ01 | Rejection of invention patent application after publication |