CN114706537B - Inactive data processing method and processing system of Internet of things equipment - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0614—Improving the reliability of storage systems
- G06F3/0616—Improving the reliability of storage systems in relation to life time, e.g. increasing Mean Time Between Failures [MTBF]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/70—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer
- G06F21/78—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure storage of data
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- G—PHYSICS
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- 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
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Abstract
The invention relates to the field of data processing, and discloses a method and a system for processing inactive data of Internet of things equipment, wherein the method comprises an object data acquisition module, an object activity judgment module, a data activity judgment module and an activity grading processing module; the secondary partition is carried out through double processing judgment on the object equipment and the data, the data can be stored in a partition mode according to the reading and writing frequency of the data, a plurality of storage media in one partition can be effectively protected to be effectively utilized to the maximum extent, meanwhile, the multiple sectors are synchronously used to the maximum extent, the health state of the storage media can be conveniently sensed, the problem that the abnormal state of part of the sectors is not displayed by the health state of the storage media can be effectively avoided, and therefore data safety can be effectively protected.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a system for processing inactive data of equipment of the Internet of things.
Background
With the rapid development of network information technology, the application range of the internet of things technology is wider, and the data volume related to the internet of things technology is larger, so that the internet of things technology is very important for data storage and management, and data security work of a large amount of data is one of the most important work in a system formed by internet of things equipment.
In the prior art, for a large amount of data generated by the internet of things equipment and continuously interacted with the internet of things equipment, mostly, the safety protection is performed in an array storage mode, and meanwhile, a certain data acceleration capacity can be provided for the database.
Disclosure of Invention
The invention aims to provide a method and a system for processing inactive data of equipment of the internet of things, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an inactive data processing system of an internet of things device, comprising:
the object data acquisition module is used for acquiring data interaction information of object equipment, filtering the data interaction information through a preset cleaning program and acquiring a plurality of non-core interaction information, wherein the data interaction information is used for representing data interaction records of the object equipment through the Internet of things, and corresponds to the object equipment;
the object activity judging module is used for calculating the data interaction frequency of the object equipment according to the non-core interaction information, judging the data interaction frequency according to an active object judging standard and acquiring an object activity level of the object equipment, wherein the object activity level corresponds to the range of the data interaction frequency of the active object;
the data activity judging module is used for judging the data interaction frequency of the non-core interaction information of the object equipment under the same object activity level according to an activity data judging standard to obtain the data activity level of the non-core interaction information, and the data activity level corresponds to the range of the data interaction frequency of the data;
and the active hierarchical processing module is used for carrying out secondary partition on the data according to a preset storage partition method, the object active level and the data active level and generating a partition record of the data, and the secondary partition is used for carrying out partition storage on the data.
As a further scheme of the invention: the active classification processing module specifically comprises:
the first classification unit is used for dividing the storage area of the object equipment according to the storage dividing method and the object activity level, different storage areas correspond to a plurality of different object activity levels, the storage area also comprises a plurality of storage sub-areas, the storage sub-areas are arranged in parallel and independently, and when one storage sub-area fails, other storage sub-areas are not interfered;
and the second classification unit is used for dividing a plurality of data in the storage area into storage sub-areas according to the storage dividing method and the data activity levels, wherein different storage sub-areas correspond to a plurality of different data activity levels.
As a further scheme of the invention: also included is a boot management module, the boot management module comprising:
the guide library unit is used for acquiring the partition records, acquiring the memory sub-area of the data and the memory address of the data according to the partition records and recording the memory sub-area and the memory address of the data in the guide library;
and the guide response unit is used for responding to the data interaction request of the object equipment, traversing the guide library according to the data interaction request, acquiring the data storage address and outputting the data storage address.
As a still further scheme of the invention: the object data acquisition module comprises an information cleaning unit for executing the cleaning program;
the information cleaning unit is used for identifying the data interaction information, and filtering the data interaction information if the data interaction information is provided with core information marks, wherein the core information marks are used for representing that data corresponding to the data interaction information are verification system data.
As a further scheme of the invention: the device also comprises a timing program module;
and the timing program module is used for guiding the object data acquisition module, the object activity judgment module, the data activity judgment module and the activity grading processing module to operate when a preset time interval is reached so as to perform secondary partitioning on the data.
The embodiment of the invention aims to provide an inactive data processing method of Internet of things equipment, which comprises the following steps:
acquiring data interaction information of object equipment, filtering the data interaction information through a preset cleaning program, and acquiring a plurality of non-core interaction information, wherein the data interaction information is used for representing data interaction records of the object equipment through the Internet of things, and corresponds to the object equipment;
calculating data interaction frequency of the object equipment according to the non-core interaction information, judging the data interaction frequency according to an active object judgment standard, and acquiring an object active level of the object equipment, wherein the object active level corresponds to the range of the data interaction frequency of the active object;
judging the data interaction frequency of the non-core interaction information of a plurality of object devices under the same object activity level according to an active data judgment standard to obtain the data activity level of the non-core interaction information, wherein the data activity level corresponds to the range of the data interaction frequency of the data;
and performing secondary partitioning on the data according to a preset storage partitioning method, the object activity level and the data activity level, and generating a partition record of the data, wherein the secondary partitioning is used for performing partition storage on the data.
As a further scheme of the invention: the step of performing secondary partitioning on the data according to a preset storage partitioning method, the object active level and the data active level specifically includes:
and dividing the storage area of the object equipment according to the storage dividing method and the object activity level, wherein different storage areas correspond to a plurality of different object activity levels, the storage area also comprises a plurality of storage sub-areas, the storage sub-areas are arranged in parallel and independently, and when one storage sub-area fails, other storage sub-areas are not interfered.
And dividing a plurality of data in the storage area into storage sub-areas according to the storage dividing method and the data active levels, wherein different storage sub-areas correspond to a plurality of different data active levels.
As a further scheme of the invention: acquiring the partition record, acquiring a storage sub-region of the data and a storage address of the data according to the partition record, and recording the storage sub-region and the storage address in a boot library;
and responding to the data interaction request of the object equipment, traversing the guide library according to the data interaction request, and acquiring and outputting the data storage address.
Compared with the prior art, the invention has the beneficial effects that: the storage scheduling management of the inactive data and the partition storage of the inactive and active data are carried out, so that the protection processing of the data is realized, the traditional storage mode can cause that in a certain storage medium, the use degree of each storage sector can generate larger access, when part of the storage sectors are damaged by the sectors which are read and written all the time, the utilization rate of the intact part of the service life is low, and the storage resource waste is caused, secondary partition is carried out by double processing judgment of object equipment and the data, the data can be stored in a partition mode according to the read-write frequency of the data, and then a plurality of storage media in one partition can be effectively protected to be effectively utilized to the maximum degree, meanwhile, the synchronous use of multiple sectors to the maximum degree can also facilitate the perception of the health state of the storage media, and the problem that the abnormal state of part of the sectors is not shown by the health state of the storage media can be effectively avoided, therefore, data security can be effectively protected.
Drawings
Fig. 1 is a block diagram of an inactive data processing system of an internet of things device.
Fig. 2 is a block diagram of an active hierarchical processing module in an inactive data processing system of an internet of things device.
Fig. 3 is a flow chart diagram of an inactive data processing method of an internet of things device.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following detailed description of specific embodiments of the present invention is provided in connection with specific embodiments.
As shown in fig. 1, an inactive data processing system of an internet of things device provided for an embodiment of the present invention includes:
the object data acquiring module 100 is configured to acquire data interaction information of an object device, filter the data interaction information through a preset cleaning program, and acquire a plurality of non-core interaction information, where the data interaction information is used to represent a data interaction record of the object device through the internet of things, and the data interaction information corresponds to the object device.
The object activity determination module 300 is configured to calculate a data interaction frequency of the object device according to the plurality of non-core interaction information, determine the data interaction frequency according to an active object determination criterion, and obtain an object activity level of the object device, where the object activity level corresponds to a range of the data interaction frequency of the active object.
The data activity determination module 500 is configured to determine the data interaction frequency of the non-core interaction information of the multiple pieces of object equipment in the same object activity level according to an active data determination standard, and obtain a data activity level of the non-core interaction information, where the data activity level corresponds to a range of the data interaction frequency of the data.
And an active hierarchical processing module 700, configured to perform secondary partitioning on the data according to a preset storage partitioning method, the object active level and the data active level, and generate a partition record of the data, where the secondary partition is used to perform partition storage on the data.
In the embodiment, an inactive data processing system for internet of things devices is provided, which aims to manage storage scheduling of inactive data and store inactive and active data in a partitioned manner, so as to achieve protection processing of data, and between internet devices and a cloud, a large amount of data can be continuously acquired to interact with each other, so as to achieve the purpose of information exchange, in a long-time information interaction, active devices and inactive devices, active information and inactive information can exist, and for internet devices (such as a cloud server), the data reading amount is very large, so that the consumption of the life of a storage medium can be very fast, at this time, the traditional storage mode can lead to great access of the use degree of each storage sector in a certain storage medium, when part of sectors which are always read and written are damaged, the utilization rate of the service life of the intact part is low, storage resources are wasted, secondary partitioning is performed through double processing judgment of object equipment and data, the data can be stored in a partitioned mode according to the reading and writing frequency of the data, and therefore a plurality of storage media in one partition can be effectively protected to be effectively utilized to the maximum extent.
As shown in fig. 2, as another preferred embodiment of the present invention, the active classification processing module 700 specifically includes:
a first classification unit 701, configured to perform storage region division on the object device according to the storage division method and the object activity levels, where different storage regions correspond to multiple different object activity levels, the storage region further includes multiple storage sub-regions, the storage sub-regions are arranged in parallel and independently, and when a certain storage sub-region fails, other storage sub-regions are not interfered.
A second classification unit 702, configured to divide a memory sub-region of the plurality of data in the memory region according to the memory dividing method and the data active level, where different memory sub-regions correspond to multiple different data active levels.
In this embodiment, the first classification unit 701 is used to partition the target device according to the activity level of the target device (for example, in a usage scenario with a network storage function), so as to further improve the accuracy of data partitioning, that is, to refine the coverage range of data partitioning, so that the data stored as one sub-region can have a closer activity level, the second classification unit 702 is used to further partition the data, specifically, for example, the activity level is ten levels, 5 storage sub-regions can be set for storing the data, the storage partitioning rule here is used to represent the activity levels corresponding to five storage sub-regions, and the region size corresponding to each storage sub-region (for example, in 100 objects, there may be 50 objects with an activity level of 6, and the sum of the remaining 9 activity levels is only 50 objects).
As another preferred embodiment of the present invention, the present invention further includes a boot management module, and the boot management module includes:
and the guide library unit is used for acquiring the partition records, acquiring the storage sub-area of the data and the storage address of the data according to the partition records and recording the data in a guide library.
And the guide response unit is used for responding to the data interaction request of the object equipment, traversing the guide library according to the data interaction request, acquiring the data storage address and outputting the data storage address.
In this embodiment, a guidance management module and a corresponding description are added, where a guidance library is disposed parallel to the storage areas, is connected to each of the plurality of storage areas, and is used to guide the visitor to obtain a data storage location, so as to be able to read or store data (the stored data is also distributed by the guidance management module, and here, the management of existing data is mainly described, and therefore, no description is given).
As another preferred embodiment of the present invention, the object data acquiring module includes an information cleaning unit for executing the cleaning program;
the information cleaning unit is used for identifying the data interaction information, and filtering the data interaction information if the data interaction information is provided with core information marks, wherein the core information marks are used for representing that data corresponding to the data interaction information are verification system data.
In this embodiment, the information cleaning unit is used to filter data, and the data interaction information includes system-type data content such as identity authentication information, and the data is often not stored with common data for security, so that it is necessary to filter and remove the data.
As another preferred embodiment of the present invention, the present invention further comprises a timer program module;
and the timing program module is used for guiding the object data acquisition module, the object activity judgment module, the data activity judgment module and the activity grading processing module to operate when a preset time interval is reached so as to perform secondary partitioning on the data.
In this embodiment, the timer module is used as a boot execution switch of the system, and the content described herein is set based on the frequency, i.e., the activity level, so that a certain execution time interval needs to be set, and frequent execution also causes the possibility of loss in data transfer and increases the storage medium loss, so that the timer module and reliable time interval setting are necessary.
As shown in fig. 3, the present invention further provides an inactive data processing method for an internet of things device, which includes the steps of:
s200, acquiring data interaction information of the object equipment, filtering the data interaction information through a preset cleaning program, and acquiring a plurality of non-core interaction information, wherein the data interaction information is used for representing data interaction records of the object equipment through the Internet of things, and corresponds to the object equipment.
S400, calculating data interaction frequency of the object equipment according to the non-core interaction information, judging the data interaction frequency according to an active object judgment standard, and acquiring an object active level of the object equipment, wherein the object active level corresponds to the range of the data interaction frequency of the active object.
S600, judging the data interaction frequency of the non-core interaction information of the object devices under the same object activity level according to an activity data judgment standard, and acquiring the data activity level of the non-core interaction information, wherein the data activity level corresponds to the range of the data interaction frequency of the data.
And S800, performing secondary partitioning on the data according to a preset storage partitioning method, the object activity level and the data activity level, and generating a partition record of the data, wherein the secondary partitioning is used for performing partition storage on the data.
As another preferred embodiment of the present invention, the step of performing secondary partitioning on the data according to a preset storage partitioning method and the object activity level and the data activity level specifically includes:
and dividing the storage area of the object equipment according to the storage dividing method and the object activity level, wherein different storage areas correspond to a plurality of different object activity levels, the storage area also comprises a plurality of storage sub-areas, the storage sub-areas are arranged in parallel and independently, and when one storage sub-area fails, other storage sub-areas are not interfered.
And dividing a plurality of data in the storage area into storage sub-areas according to the storage dividing method and the data active levels, wherein different storage sub-areas correspond to a plurality of different data active levels.
As another preferred embodiment of the present invention, further comprising the steps of:
and acquiring the partition record, acquiring a memory sub-area of the data and a memory address of the data according to the partition record, and recording the memory sub-area and the memory address in a boot library.
And responding to the data interaction request of the object equipment, traversing the guide library according to the data interaction request, and acquiring and outputting the data storage address.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (6)
1. An inactive data processing system of an internet of things device, comprising:
the object data acquisition module is used for acquiring data interaction information of object equipment, filtering the data interaction information through a preset cleaning program and acquiring a plurality of non-core interaction information, wherein the data interaction information is used for representing data interaction records of the object equipment through the Internet of things, and corresponds to the object equipment;
the object activity judging module is used for calculating the data interaction frequency of the object equipment according to the non-core interaction information, judging the data interaction frequency according to an active object judging standard and acquiring an object activity level of the object equipment, wherein the object activity level corresponds to the range of the data interaction frequency of the active object;
the data activity judging module is used for judging the data interaction frequency of the non-core interaction information of the object equipment under the same object activity level according to an activity data judging standard to obtain the data activity level of the non-core interaction information, and the data activity level corresponds to the range of the data interaction frequency of the data;
the active hierarchical processing module is used for carrying out secondary partition on the data according to a preset storage partition method, the object active level and the data active level and generating a partition record of the data, and the secondary partition is used for carrying out partition storage on the data;
the active classification processing module specifically comprises:
the first classification unit is used for dividing the storage area of the object equipment according to the storage dividing method and the object activity level, different storage areas correspond to a plurality of different object activity levels, the storage area also comprises a plurality of storage sub-areas, the storage sub-areas are arranged in parallel and independently, and when one storage sub-area fails, other storage sub-areas are not interfered;
and the second classification unit is used for dividing a plurality of data in the storage area into storage sub-areas according to the storage dividing method and the data activity levels, wherein different storage sub-areas correspond to a plurality of different data activity levels.
2. The system of claim 1, further comprising a boot management module, the boot management module comprising:
the guide library unit is used for acquiring the partition records, acquiring the memory sub-area of the data and the memory address of the data according to the partition records and recording the memory sub-area and the memory address of the data in the guide library;
and the guide response unit is used for responding to the data interaction request of the object equipment, traversing the guide library according to the data interaction request, acquiring the data storage address and outputting the data storage address.
3. The system for processing the inactive data of the internet of things equipment according to claim 1, wherein the object data acquisition module comprises an information cleaning unit for executing the cleaning program;
the information cleaning unit is used for identifying the data interaction information, and filtering the data interaction information if the data interaction information is provided with data interaction information marked by core information, wherein the core information mark is used for representing that data corresponding to the data interaction information is verification system data.
4. The system for processing the inactive data of the internet of things device of claim 1, further comprising a timer module;
and the timing program module is used for guiding the object data acquisition module, the object activity judgment module, the data activity judgment module and the activity grading processing module to operate when a preset time interval is reached so as to perform secondary partitioning on the data.
5. An inactive data processing method of Internet of things equipment is characterized by comprising the following steps:
acquiring data interaction information of object equipment, filtering the data interaction information through a preset cleaning program, and acquiring a plurality of non-core interaction information, wherein the data interaction information is used for representing data interaction records of the object equipment through the Internet of things, and corresponds to the object equipment;
calculating data interaction frequency of the object equipment according to the non-core interaction information, judging the data interaction frequency according to an active object judgment standard, and acquiring an object active level of the object equipment, wherein the object active level corresponds to the range of the data interaction frequency of the active object;
judging the data interaction frequency of the non-core interaction information of a plurality of object devices under the same object activity level according to an active data judgment standard to obtain the data activity level of the non-core interaction information, wherein the data activity level corresponds to the range of the data interaction frequency of the data;
performing secondary partitioning on the data according to a preset storage partitioning method, the object active level and the data active level, and generating a partition record of the data, wherein the secondary partitioning is used for performing partition storage on the data;
the step of performing secondary partitioning on the data according to a preset storage partitioning method, the object active level and the data active level specifically includes:
dividing a storage area of the object equipment according to the storage dividing method and the object activity level, wherein different storage areas correspond to a plurality of different object activity levels, the storage area further comprises a plurality of storage sub-areas, the storage sub-areas are arranged in parallel and independently, and when one storage sub-area fails, other storage sub-areas are not interfered;
and dividing a plurality of data in the storage area into storage sub-areas according to the storage dividing method and the data active levels, wherein different storage sub-areas correspond to a plurality of different data active levels.
6. The method for processing the inactive data of the internet of things equipment according to claim 5, wherein the partition record is obtained, and a memory sub-area of the data and a memory address of the data are obtained according to the partition record and recorded in a boot library;
and responding to the data interaction request of the object equipment, traversing the guide library according to the data interaction request, and acquiring and outputting the data storage address.
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