CN111857523A - Computer big data processing acquisition method, system, equipment and medium - Google Patents
Computer big data processing acquisition method, system, equipment and medium Download PDFInfo
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- CN111857523A CN111857523A CN202010770957.XA CN202010770957A CN111857523A CN 111857523 A CN111857523 A CN 111857523A CN 202010770957 A CN202010770957 A CN 202010770957A CN 111857523 A CN111857523 A CN 111857523A
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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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/20—Cooling means
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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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
- G06F3/0354—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
- G06F3/03543—Mice or pucks
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Abstract
The invention discloses an acquisition method, a system, equipment and a medium for computer big data processing, which belong to the technical field of big data, can realize the acquisition rule of data customized by a user, then carry out targeted acquisition on mass data based on the acquisition rule, combine the development of distributed storage and cloud technology, innovatively introduce a mouse as an acquisition medium, greatly meet the individual requirements of the user, have very convenient and simple operation, only need to establish connection between the mouse and terminal equipment, automatically carry out acquisition by using the acquisition rule defined in advance, upload the acquisition rule to a cloud end in real time for backup, have data storage and processing functions, furthest improve the work autonomy of the mouse, have self-protection functions, can prevent dust, water and efficiently dissipate heat, ensure the operation stability of the mouse, and simultaneously limit the operation of the user, data leakage caused by illegal operation of a user is avoided, and the safety of data acquisition is greatly improved.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a method, a system, equipment and a medium for acquiring computer big data processing.
Background
Big data, an IT industry term, refers to a data set that cannot be captured, managed, and processed with a conventional software tool within a certain time range, and is a massive, high-growth-rate, and diversified information asset that needs a new processing mode to have stronger decision-making power, insight discovery power, and process optimization capability.
The strategic significance of big data technology is not to grasp huge data information, but to specialize the data containing significance. In other words, if big data is compared to an industry, the key to realizing profitability in the industry is to improve the "processing ability" of the data and realize the "value-added" of the data through the "processing". Technically, the relation between big data and cloud computing is as inseparable as the front and back of a coin. The large data cannot be processed by a single computer necessarily, and a distributed architecture must be adopted. The method is characterized in that distributed data mining is carried out on mass data. But it must rely on distributed processing of cloud computing, distributed databases and cloud storage, virtualization technologies. With the advent of the cloud era, big data has attracted more and more attention. Analyst teams believe that large data is often used to describe the large amount of unstructured and semi-structured data created by a company that can take excessive time and money to download to a relational database for analysis. Big data analysis is often tied to cloud computing because real-time large dataset analysis requires a MapReduce-like framework to distribute work to tens, hundreds, or even thousands of computers.
Large data requires special techniques to efficiently process large amounts of data that are tolerant of elapsed time. Technologies applicable to big data include Massively Parallel Processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the internet, and scalable storage systems.
Data sources are abundant and data types are various under a big data environment, the data volume of storage and analysis mining is huge, the requirement for data display is high, the data processing efficiency and usability are seriously considered, the traditional data acquisition source is single, the data volume of storage, management and analysis is relatively small, most of the data can be processed by adopting a relational database and a parallel data warehouse, but along with the development of the times, the data types and the data volume are explosively increased, and the traditional data acquisition technology is far from meeting the requirements.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems in the prior art, the invention aims to provide an acquisition method, a system, equipment and a medium for computer big data processing, which can realize the user-defined acquisition rule of data, then carry out targeted acquisition on mass data based on the acquisition rule, combine the development of distributed storage and cloud technology, innovatively introduce a mouse as the acquisition medium, greatly meet the individual requirements of users, have very convenient and simple operation, only need to establish connection between the mouse and terminal equipment, automatically operate the acquisition system by the mouse, automatically acquire by using the acquisition rule defined in advance, upload the acquisition to a cloud end in real time for backup, have data storage and processing functions, furthest improve the work autonomy of the mouse, have self-protection functions of the mouse, can prevent dust, water and efficiently dissipate heat, the operation stability of the mouse is guaranteed, meanwhile, the user operation can be limited, data leakage caused by illegal operation of the user is avoided, and the safety of data acquisition is greatly improved.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
A computer big data processing acquisition method comprises the following steps:
s1, self-defining rules: a user self-defines a data acquisition rule and distributes the rule to a controlled child node, and the child node acquires network data based on the rule;
s2, initiating a request: initiating a Request to a target site through an HTTP (hyper text transport protocol) library, namely sending a Request which can contain information such as an additional header and the like, and waiting for a server to respond;
s3, acquiring response content: the server normally responds, the child node obtains a Response, the content of the Response is the content of the page to be obtained, and the type can be HTML, Json character string, binary data and the like;
s4, analyzing content: the obtained content may be HTML, can be analyzed by a regular expression and a page analysis library, may be Json, can be directly converted into a Json object for analysis, may be binary data, and can be stored or further processed;
s5, data storage: the parsed data can be stored as text, can be stored in a database, or can be stored in a file with a specific format.
Further, the step S1 includes collecting system log and security data.
Further, in the step S5, the data is uploaded to the cloud for backup after being stored locally, and a cloud download link is added after the relevant data, so that the infrequent data is automatically deleted to save the storage space.
Further, the data is compressed and encrypted when being uploaded to the cloud.
An acquisition system for computer big data processing, the acquisition system comprising:
the rule definition module is used for defining data acquisition rules;
the data request module is used for sending a data acquisition request;
the data acquisition module is used for acquiring data based on rules;
the data analysis module is used for analyzing the acquired data;
and the data storage module is used for storing and backing up the analyzed data.
An acquisition device for computer big data processing, the acquisition device comprising a processor and a memory, the memory having stored thereon codes, programs or instructions for executing the acquisition method, the processor being configured to execute the codes, programs or instructions.
A computer big data processing acquisition medium having stored thereon a code, a program, or instructions for executing an acquisition method so that an acquisition apparatus can execute the acquisition method.
Further, the collection medium is mouse, be connected with data line and wireless connection module on the mouse, install main control unit module and power module in the mouse, main control unit module is connected with processor module and memory module, still install communication module in the mouse, main control unit module passes through communication module and is connected with the high in the clouds, and mouse is from taking data storage and processing function, and furthest improves the autonomy and the independence of mouse, can upload the high in the clouds with data simultaneously, certainly also can follow the high in the clouds and directly download data to it satisfies needs to provide wired and two kinds of wireless mode.
Further, the mouse comprises a mouse body and a pair of mouse buttons arranged on the mouse body, fingerprint acquisition chips are arranged on the mouse buttons, multiple-effect protective interlayers are connected between the mouse buttons and the mouse body and made of flexible heat conduction materials, each multiple-effect protective interlayer comprises a right protective interlayer and a left protective interlayer, a plurality of corresponding two-state control core balls are embedded and connected in the right protective interlayer and the left protective interlayer, self-circulation radiating pipes are connected between the corresponding two-state control core balls in the right protective interlayer and the left protective interlayer, gaps between the mouse body and the mouse buttons are sealed by the multiple-effect protective interlayers, invasion of dust and moisture is reduced, circuits in the mouse are effectively protected, and meanwhile, high-efficiency heat dissipation can be realized by matching the multiple-effect protective interlayers, the two-state control core balls and the self-circulation radiating pipes, and the flow of cooling liquid between the right protective interlayer and the left protective interlayer can be realized by utilizing the clicking action of the mouse during working, so that the dynamic heat dissipation effect on the internal circuit of the mouse is improved.
Furthermore, the dual-state control core ball comprises a heat dissipation base ball bag and conductive contact plates connected to the upper end and the lower end, a dual-state solid liquid bag is connected between the conductive contact plates, electrorheological fluid is filled in the dual-state solid liquid bag, cooling liquid is filled in the heat dissipation base ball bag and the self-circulation heat dissipation pipe, the dual-state control core ball is in a deformable state in a normal state and cannot influence the clicking action of a user, but in a self-protection state, namely the dual-state solid liquid bag is hardened due to the characteristics of the electrorheological fluid after the dual-state control core ball is electrified, the dual-state control core ball is difficult to deform at the moment, the mouse cannot perform the clicking action to limit the user operation, the illegal operation of the user is avoided, and the safety of data acquisition is greatly improved.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
(1) the scheme can realize the user-defined data acquisition rule, then performs targeted acquisition on mass data based on the acquisition rule, combines the development of distributed storage and cloud technology, innovatively introduces a mouse as an acquisition medium, greatly meets the individual requirements of users, the operation is very convenient and simple, only the connection between the mouse and the terminal equipment is needed, the mouse automatically runs the acquisition system, the acquisition is automatically carried out by utilizing the acquisition rule defined in advance, and the acquisition rule is uploaded to the cloud end in real time for backup, and the mouse has data storage and processing functions, the work autonomy of the mouse is improved to the maximum extent, in addition, the mouse has self-protection function, not only can prevent dust and water and efficiently dissipate heat, ensure the operation stability of the mouse, meanwhile, the user operation can be limited, data leakage caused by illegal user operation is avoided, and the safety of data acquisition is greatly improved.
(2) The collection medium is mouse, be connected with data line and wireless connection module on the mouse, install main control unit module and power module in the mouse, main control unit module is connected with processor module and memory module, still install communication module in the mouse, main control unit module passes through communication module and is connected with the high in the clouds, mouse is from taking data storage and processing function, furthest improves the autonomy and the independence of mouse, can upload the high in the clouds with data simultaneously, also can follow the high in the clouds and directly download data certainly, and it is required to provide two kinds of mode satisfiedly with wireless.
(3) The mouse comprises a mouse body and a pair of mouse buttons arranged on the mouse body, wherein fingerprint acquisition chips are arranged on the mouse buttons, a multiple-effect protective interlayer is connected between the mouse buttons and the mouse body and is made of flexible heat conduction materials, the multiple-effect protective interlayer comprises a right protective interlayer and a left protective interlayer, a plurality of corresponding two-state control core balls are embedded and connected in the right protective interlayer and the left protective interlayer, self-circulation radiating pipes are connected between the two-state control core balls in the right protective interlayer and the left protective interlayer, gaps between the mouse body and the mouse buttons are sealed by the multiple-effect protective interlayer, the invasion of dust and moisture is reduced, circuits in the mouse are effectively protected, meanwhile, efficient heat dissipation can be realized by the cooperation of the multiple-effect protective interlayer, the two-state control core balls and the self-circulation radiating pipes, and clicking action during the operation of the mouse is utilized, the cooling liquid can flow between the right protective interlayer and the left protective interlayer, so that the dynamic heat dissipation effect of the internal circuit of the mouse is improved.
(4) The dual-state control core ball comprises a heat dissipation base ball bag and conductive contact pieces connected to the upper end and the lower end, a dual-state solid liquid bag is connected between the conductive contact pieces, electrorheological fluid is filled in the dual-state solid liquid bag, cooling fluid is filled in the heat dissipation base ball bag and the self-circulation heat dissipation pipe, the dual-state control core ball is in a deformable state in a normal state, clicking actions of a user cannot be influenced, but in a self-protection state, namely the dual-state solid liquid bag is hardened due to the characteristics of the electrorheological fluid after the dual-state control core ball is electrified, the dual-state control core ball is difficult to deform at the moment, the mouse cannot perform clicking actions to limit user operations, illegal operations by the user are avoided, and the safety of data acquisition is improved to a great extent.
Drawings
FIG. 1 is a schematic flow diagram of the acquisition method of the present invention;
FIG. 2 is a schematic view of the structure of the collection medium of the present invention;
FIG. 3 is a front view of the mouse of the present invention;
FIG. 4 is a top view of the multi-effect guard interlayer portion of the present invention;
FIG. 5 is a schematic structural diagram of a two-state control core ball of the present invention.
The reference numbers in the figures illustrate:
1 mouse body, 2 mouse buttons, 3 multi-effect protection interlayers, 31 right protection interlayer, 32 left protection interlayer, 4 two-state control core balls, 41 heat dissipation base balloon, 42 conductive contact sheet, 43 two-state solid liquid balloon and 5 self-circulation heat dissipation pipes.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention; it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1, a method for acquiring big data of a computer includes the following steps:
s1, self-defining rules: a user self-defines a data acquisition rule and distributes the rule to a controlled child node, and the child node acquires network data based on the rule;
s2, initiating a request: initiating a Request to a target site through an HTTP (hyper text transport protocol) library, namely sending a Request which can contain information such as an additional header and the like, and waiting for a server to respond;
s3, acquiring response content: the server normally responds, the child node obtains a Response, the content of the Response is the content of the page to be obtained, and the type can be HTML, Json character string, binary data picture or video and the like;
s4, analyzing content: the obtained content may be HTML, can be analyzed by a regular expression and a page analysis library, may be Json, can be directly converted into a Json object for analysis, may be binary data, and can be stored or further processed;
s5, data storage: the parsed data can be stored as text, can be stored in a database, or can be stored in a file with a specific format.
Step S1 also includes collecting system log and security data.
In the step S5, the data is uploaded to the cloud for backup after being stored locally, a cloud download link is added after the relevant data, the infrequent data is automatically deleted to save the storage space, and the data is compressed and encrypted when being uploaded to the cloud.
An acquisition system for computer big data processing, the acquisition system comprising:
the rule definition module is used for defining data acquisition rules;
the data request module is used for sending a data acquisition request;
the data acquisition module is used for acquiring data based on rules;
the data analysis module is used for analyzing the acquired data;
and the data storage module is used for storing and backing up the analyzed data.
The acquisition equipment for computer big data processing comprises a processor and a memory, wherein codes, programs or instructions for executing the acquisition method are stored in the memory, and the processor is used for executing the codes, the programs or the instructions.
An acquisition medium for computer big data processing, the acquisition medium having stored thereon a code, a program, or instructions for executing an acquisition method, so that an acquisition apparatus can execute the acquisition method.
Please refer to fig. 2, the collection medium is a mouse, a data line and a wireless connection module are connected to the mouse, a main controller module and a power module are installed in the mouse, the main controller module is connected with a processor module and a memory module, a communication module is also installed in the mouse, the main controller module is connected with the cloud end through the communication module, the mouse has a data storage and processing function, the autonomy and the independence of the mouse are improved to the maximum extent, the cloud end can be uploaded with data, the data can be directly downloaded from the cloud end naturally, and two wired and wireless working modes are provided to meet the requirements.
Referring to fig. 3-4, the mouse comprises a mouse body 1 and a pair of mouse buttons 2 mounted on the mouse body 1, a fingerprint acquisition chip is mounted on the mouse buttons 2, a multiple-effect protective interlayer 3 is connected between the mouse buttons 2 and the mouse body 1, the multiple-effect protective interlayer 3 is made of flexible heat conduction material, the multiple-effect protective interlayer 3 comprises a right protective interlayer 31 and a left protective interlayer 32, a plurality of corresponding two-state control core balls 4 are embedded and connected in the right protective interlayer 31 and the left protective interlayer 32, a self-circulation radiating pipe 5 is connected between the corresponding two-state control core balls 4 in the right protective interlayer 31 and the left protective interlayer 32, a gap between the mouse body 1 and the mouse buttons 2 is sealed by the multiple-effect protective interlayer 3, intrusion of dust and moisture is reduced, circuits inside the mouse are effectively protected, and efficient heat radiation can be realized by cooperation between the multiple-effect protective interlayer 3, the two-state control core balls 4 and the self-circulation radiating pipe 5, and the flow of cooling liquid between the right protective interlayer 31 and the left protective interlayer 32 can be realized by utilizing the clicking action of the mouse during working, so that the dynamic heat dissipation effect on the internal circuit of the mouse is improved.
Referring to fig. 5, the two-state control core ball 4 includes a heat dissipation base ball bag 41 and conductive contact pieces 42 connected to the upper and lower ends, a two-state solid liquid bag 43 is connected between the conductive contact pieces 42, electrorheological fluid is filled in the two-state solid liquid bag 43, cooling fluid is filled in the heat dissipation base ball bag 41 and the self-circulation heat dissipation pipe 5, the two-state control core ball 4 is in a deformable state in a normal state, and the clicking action of a user is not affected, but in a self-protection state, namely, the two-state solid liquid bag 43 is hardened due to the characteristics of the electrorheological fluid after the two-state control core ball 4 is powered on, at this time, the two-state control core ball 4 is difficult to deform, a mouse cannot perform the clicking action to achieve limitation on the user operation, avoid illegal operation by the user, and greatly improve the security of data acquisition.
Mouse can save user's operating habit and collection rule, and the integration has the collection system, when the user uses, mouse can automatic leading-in user's operating habit, for example, mouse moving speed, the shortcut key sets up etc, then automatic data acquisition on terminal equipment, and user's every operation all can pass through mouse button 2's fingerprint authentication, only the authentication is through the recovery normal condition of back binary control core ball 4 outage, but user side normal operating mouse button 2, the mobility heat dissipation of self-loopa cooling tube 5 all can be triggered to every click action simultaneously.
The invention can realize the user-defined data acquisition rule, then carries out targeted acquisition on mass data based on the acquisition rule, combines the development of distributed storage and cloud technology, innovatively introduces a mouse as an acquisition medium, greatly meets the individual requirements of users, the operation is very convenient and simple, only the connection between the mouse and the terminal equipment is needed, the mouse automatically runs the acquisition system, the acquisition is automatically carried out by utilizing the acquisition rule defined in advance, and the acquisition rule is uploaded to the cloud end in real time for backup, and the mouse has data storage and processing functions, the work autonomy of the mouse is improved to the maximum extent, in addition, the mouse has self-protection function, not only can prevent dust and water and efficiently dissipate heat, ensure the operation stability of the mouse, meanwhile, the user operation can be limited, data leakage caused by illegal user operation is avoided, and the safety of data acquisition is greatly improved.
The above are merely preferred embodiments of the present invention; the scope of the invention is not limited thereto. Any person skilled in the art should be able to cover the technical scope of the present invention by equivalent or modified solutions and modifications within the technical scope of the present invention.
Claims (10)
1. A computer big data processing acquisition method is characterized by comprising the following steps: the method comprises the following steps:
s1, self-defining rules: a user self-defines a data acquisition rule and distributes the rule to a controlled child node, and the child node acquires network data based on the rule;
s2, initiating a request: initiating a Request to a target site through an HTTP (hyper text transport protocol) library, namely sending a Request which can contain information such as an additional header and the like, and waiting for a server to respond;
s3, acquiring response content: the server normally responds, the child node obtains a Response, the content of the Response is the content of the page to be obtained, and the type can be HTML, Json character string, binary data (picture or video) and other types;
s4, analyzing content: the obtained content may be HTML, can be analyzed by a regular expression and a page analysis library, may be Json, can be directly converted into a Json object for analysis, may be binary data, and can be stored or further processed;
s5, data storage: the parsed data can be stored as text, can be stored in a database, or can be stored in a file with a specific format.
2. The acquisition method for computer big data processing according to claim 1, wherein: the step S1 further includes collecting system log and security data.
3. The acquisition method for computer big data processing according to claim 1, wherein: in the step S5, the data is uploaded to the cloud for backup after being stored locally, and a cloud download link is added after the relevant data, so that the infrequent data is automatically deleted to save the storage space.
4. The acquisition method for computer big data processing according to claim 3, wherein: and the data is compressed and encrypted when being uploaded to the cloud.
5. A computer big data processing's collection system which characterized in that: the acquisition system comprises:
the rule definition module is used for defining data acquisition rules;
the data request module is used for sending a data acquisition request;
the data acquisition module is used for acquiring data based on rules;
the data analysis module is used for analyzing the acquired data;
and the data storage module is used for storing and backing up the analyzed data.
6. The utility model provides a collection equipment of computer big data processing which characterized in that: the acquisition device comprises a processor having stored thereon code, program or instructions for carrying out the method of any one of claims 1 to 4 and a memory for executing the code, program or instructions.
7. An acquisition medium for computer big data processing, which is characterized in that: the acquisition medium having stored thereon the code, program or instructions of claim 6, such that an acquisition device may perform the method of any one of claims 1-4.
8. The acquisition medium for computer big data processing according to claim 7, wherein: the mouse comprises a collecting medium, a data line and a wireless connection module, wherein the collecting medium is a mouse, a main controller module and a power module are installed in the mouse, the main controller module is connected with a processor module and a memory module, a communication module is further installed in the mouse, and the main controller module is connected with the cloud end through the communication module.
9. The acquisition medium for computer big data processing according to claim 8, wherein: mouse includes mouse body (1) and installs a pair of mouse button (2) on mouse body (1), install the fingerprint collection chip on mouse button (2), be connected with multiple-effect protection intermediate layer (3) between mouse button (2) and mouse body (1), multiple-effect protection intermediate layer (3) adopt flexible heat conduction material to make, multiple-effect protection intermediate layer (3) are including right protection intermediate layer (31) and left protection intermediate layer (32), all inlay in right protection intermediate layer (31) and left protection intermediate layer (32) and be connected with a plurality of corresponding binary control core balls (4), be connected with self-loopa cooling tube (5) between the binary control core ball (4) that correspond in right protection intermediate layer (31) and left protection intermediate layer (32).
10. The acquisition method, system, equipment and medium for computer big data processing according to claim 9, wherein: the double-state control core ball (4) comprises a heat dissipation base ball bag (41) and conductive contact pieces (42) connected to the upper end and the lower end, a double-state solid liquid bag (43) is connected between the conductive contact pieces (42), electrorheological fluid is filled in the double-state solid liquid bag (43), and cooling fluid is filled in the heat dissipation base ball bag (41) and the self-circulation heat dissipation pipe (5).
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| CN202010770957.XA CN111857523A (en) | 2020-08-04 | 2020-08-04 | Computer big data processing acquisition method, system, equipment and medium |
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| CN202010770957.XA CN111857523A (en) | 2020-08-04 | 2020-08-04 | Computer big data processing acquisition method, system, equipment and medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112612367A (en) * | 2021-01-05 | 2021-04-06 | 丁丹 | Mistaken touch preventing mouse convenient to clean |
| CN112969348A (en) * | 2021-02-22 | 2021-06-15 | 牡丹江师范学院 | Computer big data processing acquisition method, system, equipment and medium |
| CN117056060A (en) * | 2023-10-12 | 2023-11-14 | 北京优特捷信息技术有限公司 | Big data information processing method based on deep learning |
-
2020
- 2020-08-04 CN CN202010770957.XA patent/CN111857523A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112612367A (en) * | 2021-01-05 | 2021-04-06 | 丁丹 | Mistaken touch preventing mouse convenient to clean |
| CN112969348A (en) * | 2021-02-22 | 2021-06-15 | 牡丹江师范学院 | Computer big data processing acquisition method, system, equipment and medium |
| CN117056060A (en) * | 2023-10-12 | 2023-11-14 | 北京优特捷信息技术有限公司 | Big data information processing method based on deep learning |
| CN117056060B (en) * | 2023-10-12 | 2024-01-09 | 北京优特捷信息技术有限公司 | Big data information processing method based on deep learning |
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