CN110120986B - Method, device and equipment for acquiring electronic equipment information - Google Patents
Method, device and equipment for acquiring electronic equipment information Download PDFInfo
- Publication number
- CN110120986B CN110120986B CN201810114044.5A CN201810114044A CN110120986B CN 110120986 B CN110120986 B CN 110120986B CN 201810114044 A CN201810114044 A CN 201810114044A CN 110120986 B CN110120986 B CN 110120986B
- Authority
- CN
- China
- Prior art keywords
- equipment
- information
- brand
- model
- correction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Telephonic Communication Services (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a method, a device and a terminal for acquiring electronic equipment information. The method comprises the following steps: acquiring equipment information, wherein the equipment information comprises: device model, device brand, and hardware information; generating a first equipment information correction file according to the equipment model and the equipment brand and a word frequency relationship; or generating a second equipment information correction file according to the hardware information; and obtaining equipment correction information according to the equipment information and the equipment information correction file. The method reduces the influence of the non-uniform data format, the manual tampering of the equipment information and other conditions on the statistics of the electronic equipment information, and improves the efficiency and the accuracy of the statistics of the electronic equipment information.
Description
Technical Field
The invention belongs to the field of internet, and particularly relates to a method, a device and a terminal for acquiring internet electronic equipment information.
Background
Electronic device information such as device brand and device model is a distinguishing mark of electronic devices, and such data is often used in statistics. The information data of the electronic equipment comes from various channels, so that the formats of the equipment models are not uniform; in addition, the situation that part of the device information is artificially tampered, and a user can change the information such as the model according to the own requirements, so that a plurality of different information appears on one device when the device information is counted, and great difficulty is brought to the counting work of counting the electronic device information.
At present, it is a common method to obtain the terminal model through a software statistical method, but many software statistical methods use a statistical scheme that is too simple, for example, simple data processing is performed, but the final result is likely to be inaccurate. Therefore, how to effectively count the electronic device information according to the software becomes a problem to be solved urgently.
Disclosure of Invention
The embodiment of the application provides an electronic equipment information acquisition method, an electronic equipment information acquisition device and a terminal, and can solve the problem of inaccurate electronic equipment information statistics caused by mixing of multiple channel information and artificial tampering. The technical scheme is as follows:
in a first aspect, a method for acquiring electronic device information is provided, where the method includes:
acquiring equipment information, wherein the equipment information comprises: device model, device brand, and hardware information;
generating a first equipment information correction file according to the equipment model and the equipment brand and a word frequency relationship; or generating a second equipment information correction file according to the hardware information;
and obtaining equipment correction information according to the equipment information and the equipment information correction file.
In a second aspect, a method for acquiring electronic device information is provided, where the method includes:
acquiring equipment information, wherein the equipment information comprises: device model, device brand, and hardware information;
generating a first equipment information correction file according to the equipment model and the equipment brand and a word frequency relationship; or generating a second equipment information correction file according to the hardware information;
obtaining equipment correction information according to the equipment information and the equipment information correction file;
a user representation is generated from the device correction information.
In a third aspect, an apparatus for acquiring electronic device information is provided, where the apparatus includes:
an obtaining module, configured to obtain device information, where the device information includes: device model, device brand, and hardware information;
the generating module is used for generating a first equipment information correcting file according to the equipment model and the equipment brand and in a word-frequency relationship; or generating a second equipment information correction file according to the hardware information;
and the correcting module is used for obtaining the equipment correcting information by the equipment information and the equipment information correcting file. In a fourth aspect, a terminal is provided, where the terminal includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the method for acquiring information of an electronic device according to any one of the first aspect and optional embodiments of the present application.
In a fifth aspect, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the method for acquiring information of an electronic device according to any one of the first aspect and optional embodiments of the present application.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the influence of the non-uniformity of the data format and the condition of manually tampering the equipment information on the statistics of the electronic equipment information is reduced, and the efficiency and the accuracy of the statistics of the electronic equipment information are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a diagram of an electronic device information normalization system provided by an exemplary embodiment of the present application;
FIG. 2 is a general block diagram of an electronic device information normalization system provided by an exemplary embodiment of the present application;
fig. 3 is a flowchart of an electronic device information obtaining method according to an exemplary embodiment of the present application;
fig. 4 is a flowchart of an electronic device information obtaining method according to another exemplary embodiment of the present application;
fig. 5 is a flowchart of an electronic device information obtaining method according to another exemplary embodiment of the present application;
FIG. 6 is a flowchart of a method for obtaining information of an electronic device using a Hadoop map reduce according to an exemplary embodiment of the present application;
fig. 7 is a flowchart of an electronic device information obtaining method according to another exemplary embodiment of the present application;
fig. 8 is a block diagram of a device information acquiring apparatus according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Fig. 1 is a diagram of an electronic device information standardization system according to an exemplary embodiment of the present application.
As shown in fig. 1, the server 101 may include: at least one processor 1011, such as a CPU, at least one network interface 1013, memory 1014, at least one communication bus 1012. Wherein a communication bus 1002 is used to enable connective communication between these components. The network interface 1013 may optionally include a standard wired interface, a wireless interface (e.g., a WI-FI interface). The memory 1014 may be a high-speed RAM memory or a non-volatile memory (e.g., at least one disk memory). The memory 1014 may alternatively be at least one memory device located remotely from the processor 1011. As shown in fig. 1, the memory 1014, which is a kind of computer storage medium, may include therein an acquisition module, a generation module, a correction module, and a judgment module, an application program, and the like.
The server 101 is connected to the network through the network interface 1013, performs data communication with the mobile terminal 102, and acquires information of the mobile terminal 102; the server 101 is connected to the network through the network interface 1013, and performs data communication with other terminals 103, so that a system administrator can acquire necessary information from the server 101 and perform related research and application.
Fig. 2 is a general framework diagram of an electronic device information standardization system according to an exemplary embodiment of the present application.
Fig. 3 is a flowchart of an obtaining method of electronic device information according to an exemplary embodiment of the present application. The method of electronic device information acquisition may be used in an information correction system 205 as shown in fig. 2. Illustratively, as shown in fig. 3, the processor 1011 may be configured to call a program stored in the memory 1014 and specifically perform the following operations:
the device information may be obtained by software, or the collection may be collected by other means. The software can be the software carried by the equipment and can also be third-party software.
Optionally, the device information may be a device model, a device brand, or hardware information. Illustratively, as shown in fig. 4, the multi-channel data 401 includes MTA (mobile flight analysis) 201, flight mobile push (pigeon of home, XG) data, etc., or other data sources 203. The method includes the steps of screening single device information 402 from multi-channel data, wherein the single device information includes device models, device brands and the like of single devices, adding new data 403 of the single device information in a certain time period (for example, the current day or the current week) into single device information historical data 404 to obtain single device information combination information 405, and then warehousing the single device information combination information 405, namely step 406, for subsequent use.
in the information correction system 205, the device information acquired from step 301 is processed by the following rules to obtain an information correction file, which is used to correct erroneous device information, the rules including:
obtaining an equipment information correction file according to the word frequency relation;
and obtaining the equipment information correction file according to the hardware information.
And correcting the equipment information according to the acquired equipment information and the information correction file acquired in the step 303 to acquire corrected equipment correction information, so that a user portrait can be generated, and characteristics and requirements of the user, such as information statistics and the like, can be analyzed more accurately.
In conclusion, the information correction file is obtained by adopting the word frequency relationship or the hardware information, so that the influence of the non-uniformity of the data format and the condition of manually tampering the equipment information on the statistics of the electronic equipment information is reduced, and the efficiency and the accuracy of the statistics of the electronic equipment information are improved.
Fig. 5 is a flowchart of an obtaining method of electronic device information according to an exemplary embodiment of the present application. The method of electronic device information acquisition may be used in an information correction system 205 as shown in fig. 2. Schematically, as shown in fig. 5, the method for acquiring the electronic device information includes:
the device information may be obtained by software or collected by other means. The software can be the software carried by the equipment and can also be third-party software.
Optionally, the device information may be a device model, a device brand, or hardware information.
Due to different reporting sources, the counted reporting models have various formats, such as table 1, where 5 different device models already appear, so that the pre-processing needs to be performed according to a preset rule. The preset rules may include: removing the equipment model containing the appointed type characters, wherein the appointed characters contain Chinese characters; removing the equipment model containing the equipment brand; and eliminating the equipment model with obviously inconsistent equipment model and equipment brand, and the like. Thus, "Hisense EG 906", "HISENSE HSEG 906" and "HUAWEI EG 906" are eliminated, leaving "HS EG 906" and "EG 906".
TABLE 1
After the statistical equipment information is preprocessed, as shown in table 2, from the statistical result, the number of the equipment models of one equipment is basically controlled within 2, so that the preparation work is performed on the subsequent statistical work, the workload is reduced, and the accuracy of the subsequent statistical work is improved.
TABLE 2
| Number of device models appearing on one device | Distribution of each item | Cumulative distribution |
| 1 | 63.1％ | 63.1％ |
| 2 | 30.6％ | 93.7％ |
| 3 | 5.6％ | 99.3％ |
| 4 | 0.4％ | 99.7％ |
| 5 | 0.1％ | 99.9％ |
| 6 | 0.1％ | 99.9％ |
| 7 | 0.0％ | 99.9％ |
| 8 | 0.0％ | 100.0％ |
| 9 | 0.0％ | 100.0％ |
| >＝10 | 0.0％ | 100.0％ |
Optionally, before step 503, a device brand library, i.e., brand in device and brand of device letter, is created by web crawler technology or manually. Schematically, as in table 3. The brand library can be used for more conveniently knowing the common Chinese brand of the equipment corresponding to the letter brand of the equipment.
TABLE 3
| Numbering | Letters | Name of Chinese |
| 1 | xiaomi | Millet |
| 2 | yulong | Cool pie |
| 3 | zopo | Zhuopu |
| 4 | zte | Zhongxing (Chinese character of' Zhongxing |
| … | … | … |
Optionally, before step 503, obtaining a configuration file of the equipment model and the equipment brand through a Hadoop Map Reduce; schematically, as in fig. 6:
The device correction information includes the corrected device model and the device brand. Judging whether the equipment model and the equipment brand of one equipment are consistent with the corrected equipment model and equipment brand, and if not, replacing the equipment model and the equipment brand information with the corrected equipment model and equipment brand; if the two are consistent, no processing is performed.
As shown in table 4, the device models obtained through the above steps basically have only one device model on each device, and compared with table 2, the accuracy of statistical information is greatly improved.
In conclusion, the correct corresponding relation between the equipment model and the equipment brand is obtained by sequencing the corresponding relation between the equipment model and the equipment brand, so that the large workload caused by a large amount of data is avoided, and the statistical efficiency is improved; and then, the correct equipment model and equipment brand of the single equipment are obtained by counting the corresponding times of the equipment model and the equipment brand of the single equipment, so that the equipment model and the equipment brand obtained through a simple corresponding relation are avoided, and the reliability of a counting result is enhanced.
TABLE 4
| Number of device models appearing on one device | Distribution of each item | Cumulative distribution |
| 1 | 97.6％ | 97.6％ |
| 2 | 2.1％ | 99.7％ |
| 3 | 0.2％ | 99.9％ |
| 4 | 0.1％ | 100.0％ |
| 5 | 0.0％ | 100.0％ |
| 6 | 0.0％ | 100.0％ |
| 7 | 0.0％ | 100.0％ |
| 8 | 0.0％ | 100.0％ |
| 9 | 0.0％ | 100.0％ |
| >＝10 | 0.0％ | 100.0％ |
Optionally, the device information correction file is obtained according to the hardware information. As shown in fig. 7:
the device information may be obtained by software or collected by other means. The software can be the software carried by the equipment and can also be third-party software. Optionally, the device information may be a device model, a device brand, or hardware information.
And step 702, binding a second equipment model and a second equipment brand by taking the hardware information as an equipment identification mark, and taking the second equipment model and the second equipment brand as a second equipment information correction file.
The hardware information may include: the CPU model, the screen hardware information (resolution), the memory model and the like, and the hardware information is not changed along with the operation of flashing and the like, so that the corresponding information of the equipment model and the equipment brand can be obtained after the hardware information is determined, such as the CPU model and the screen information.
Hardware information can be obtained by using technologies such as web crawlers and the like and corresponds to corresponding equipment models and equipment brands; when the device model is counted, the software of the electronic device can obtain the hardware information of the device, so that the corresponding device model and the device brand information can be obtained.
And step 703, obtaining the device correction information according to the device information correction file.
The device correction information includes the corrected device model and the device brand. Judging whether the equipment model and the equipment brand of one equipment are consistent with the corrected equipment model and equipment brand, and if not, replacing the equipment model and the equipment brand information with the corrected equipment model and equipment brand; if the two are consistent, no processing is performed.
In conclusion, correct information such as the equipment model and the equipment brand can be obtained through the scheme, and wrong information such as the equipment model and the equipment brand obtained through operations such as machine refreshing is avoided, so that the reliability of a statistical result is enhanced.
Fig. 8 is a block diagram of a device information acquiring apparatus according to an exemplary embodiment of the present application, and refer to the memory 1014 of fig. 1. As shown in fig. 8, the apparatus includes: an acquisition module 801, a generation module 802, a correction module 803, and a judgment module 804.
The obtaining module 801 is configured to obtain device information, where the device information includes: device model, device brand, and hardware information;
a generating module 802, configured to generate a first device information correction file according to the device model and the device brand and according to a word-frequency relationship; or generating a second equipment information correction file according to the hardware information;
the correcting module 803 obtains device correcting information according to the device information correcting file;
a judging module 804, configured to judge consistency of the device information and the device correction information, and if the device information is inconsistent with the device correction information, replace the device information with the device correction information.
In an optional embodiment, the device information acquired by the acquiring module 801 includes a device model and a device brand; the generating module 802 generates a first device information correction file according to the device model and the device brand in a word-frequency relationship.
In an optional embodiment, the generating module 802 includes a first generating unit, configured to extract the first device model and the first device brand from the device information, count association times of the first device model and the first device brand, and take the first device model and the first device brand with the highest association times as the first device information correction file.
The generating module 802 further includes a preprocessing unit, configured to preprocess the first device model according to a preset rule before counting the number of times of association between the first device model and the first device brand. The pre-treatment may include: rejecting the equipment model containing the characters of the appointed type, wherein the appointed type contains Chinese characters; removing the equipment model containing the equipment brand; and eliminating the equipment model with obviously inconsistent equipment model and equipment brand, and the like.
The apparatus further includes a correction module 803, which obtains device correction information according to the device information correction file.
The apparatus further includes a determining module 804, configured to determine consistency between the device information and the device correction information, and if the device information is inconsistent with the device correction information, replace the device information with the device correction information.
The determining module 804 further includes a binding unit, configured to bind the corrected device information with a device identifier, where the device identifier includes an international mobile equipment identity.
In another alternative embodiment, the device information acquired by the acquiring module 801 includes a device model and a device brand, and hardware information;
the generating module 802 includes a second generating unit, configured to bind a second device model and a second device brand with the hardware information as a device identifier, where the second device model and the second device brand serve as a second device information correction file.
The apparatus further includes a correction module 803, which obtains device correction information according to the device information correction file.
The apparatus further includes a determining module 804, configured to determine consistency between the device information and the device correction information, and if the device information is inconsistent with the device correction information, replace the device information with the device correction information.
The determining module 804 further includes a binding unit, configured to bind the corrected device information with a device identifier, where the device identifier includes an international mobile equipment identity.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, which may be a computer readable storage medium contained in a memory of the above embodiments; or it may be a separate computer-readable storage medium not incorporated in the terminal. The computer readable storage medium has at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, which is loaded and executed by the processor to implement the method for electronic device information acquisition as described in any of fig. 1 to 8.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (9)
1. A method for acquiring electronic equipment information is characterized by comprising the following steps:
acquiring equipment information, wherein the equipment information comprises: device model, device brand, and hardware information;
generating a first equipment information correction file according to the equipment model and the equipment brand and a word frequency relationship; or generating a second equipment information correction file according to the hardware information;
obtaining equipment correction information according to the equipment information and the equipment information correction file;
wherein, the generating a first device information correction file according to the device model and the device brand by a word frequency relationship includes: extracting a first equipment model and a first equipment brand from the equipment information, counting the association times of the first equipment model and the first equipment brand, and taking the first equipment model and the first equipment brand with the highest association times as the first equipment information correction file;
the generating of the second device information correction file according to the hardware information includes: and binding a second equipment model and a second equipment brand by taking the hardware information as an equipment identification mark, and taking the second equipment model and the second equipment brand as the second equipment information correction file.
2. The method of claim 1, wherein generating the device information correction file in a word-frequency relationship further comprises:
preprocessing the first equipment model according to a preset rule before counting the association times of the first equipment model and the first equipment brand; wherein the preset rule comprises: and rejecting the first equipment model containing the specified category characters, and rejecting the first equipment model containing the first equipment brand.
3. The method of claim 1, wherein deriving device correction information from the device information and the device information correction file comprises:
and judging the consistency of the equipment information and the equipment correction information, and if the equipment information is inconsistent with the equipment correction information, replacing the equipment information with the equipment correction information.
4. A method for acquiring electronic equipment information is characterized by comprising the following steps:
acquiring equipment information, wherein the equipment information comprises: device model, device brand, and hardware information;
generating a first equipment information correction file according to the equipment model and the equipment brand and a word frequency relationship; or generating a second equipment information correction file according to the hardware information;
obtaining equipment correction information according to the equipment information and the equipment information correction file;
generating a user representation from the device correction information;
wherein, the generating a first device information correction file according to the device model and the device brand by a word frequency relationship includes: extracting a first equipment model and a first equipment brand from the equipment information, counting the association times of the first equipment model and the first equipment brand, and taking the first equipment model and the first equipment brand with the highest association times as the first equipment information correction file;
the generating of the second device information correction file according to the hardware information includes: and binding a second equipment model and a second equipment brand by taking the hardware information as an equipment identification mark, and taking the second equipment model and the second equipment brand as the second equipment information correction file.
5. An apparatus for acquiring electronic device information, the apparatus comprising:
an obtaining module, configured to obtain device information, where the device information includes: device model, device brand, and hardware information;
the generating module is used for generating a first equipment information correcting file according to the equipment model and the equipment brand and in a word-frequency relationship; or generating a second equipment information correction file according to the hardware information;
the correction module is used for obtaining equipment correction information by the equipment information and the equipment information correction file;
the generation module comprises a first generation module and a second generation module;
the first generation module is configured to extract a first device model and a first device brand from the device information, count association times of the first device model and the first device brand, and take the first device model and the first device brand with the highest association times as the first device information correction file;
the second generating module is configured to bind a second device model and a second device brand with the hardware information as a device identifier, and use the second device model and the second device brand as the second device information correction file.
6. The acquisition apparatus of claim 5, wherein the generation module comprises:
the preprocessing unit is used for preprocessing the first equipment model according to a preset rule before counting the association times of the first equipment model and the first equipment brand; wherein the preset rule comprises: and rejecting the first equipment model containing the specified category characters, and rejecting the first equipment model containing the first equipment brand.
7. The apparatus according to claim 5, wherein the apparatus further comprises a determining module configured to determine consistency of the device information and the device correction information, and if the consistency is not the same, replace the device information with the device correction information.
8. A computing device comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by the processor to implement the method for acquiring electronic device information according to any one of claims 1 to 4.
9. A computer-readable storage medium, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by a processor to implement the method for acquiring information of an electronic device according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810114044.5A CN110120986B (en) | 2018-02-05 | 2018-02-05 | Method, device and equipment for acquiring electronic equipment information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810114044.5A CN110120986B (en) | 2018-02-05 | 2018-02-05 | Method, device and equipment for acquiring electronic equipment information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110120986A CN110120986A (en) | 2019-08-13 |
| CN110120986B true CN110120986B (en) | 2021-10-19 |
Family
ID=67519765
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810114044.5A Active CN110120986B (en) | 2018-02-05 | 2018-02-05 | Method, device and equipment for acquiring electronic equipment information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110120986B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593076A (en) * | 2008-05-28 | 2009-12-02 | Lg电子株式会社 | Portable terminal and the method that is used to revise its text |
| CN102469435A (en) * | 2010-11-08 | 2012-05-23 | 中国移动通信集团广东有限公司 | Method for raising terminal model identification accuracy of mobile terminal and apparatus thereof |
| CN102469460A (en) * | 2010-11-08 | 2012-05-23 | 中国移动通信集团广东有限公司 | Method for identifying invalid international mobile equipment identity number and apparatus thereof |
| CN103685706A (en) * | 2012-09-21 | 2014-03-26 | 中兴通讯股份有限公司 | Method for correcting electric quantity of mobile terminal and mobile terminal |
| CN106710592A (en) * | 2016-12-29 | 2017-05-24 | 北京奇虎科技有限公司 | Speech recognition error correction method and speech recognition error correction device used for intelligent hardware equipment |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140325041A1 (en) * | 2013-04-27 | 2014-10-30 | Tencent Technology (Shenzhen) Co., Ltd. | Method, apparatus, server and system for adapting a client to a hardware environment |
| CN104199793B (en) * | 2014-08-29 | 2018-05-01 | 广州三星通信技术研究有限公司 | Portable electric appts and the method and apparatus for associating other electronic device informations on it |
-
2018
- 2018-02-05 CN CN201810114044.5A patent/CN110120986B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593076A (en) * | 2008-05-28 | 2009-12-02 | Lg电子株式会社 | Portable terminal and the method that is used to revise its text |
| CN102469435A (en) * | 2010-11-08 | 2012-05-23 | 中国移动通信集团广东有限公司 | Method for raising terminal model identification accuracy of mobile terminal and apparatus thereof |
| CN102469460A (en) * | 2010-11-08 | 2012-05-23 | 中国移动通信集团广东有限公司 | Method for identifying invalid international mobile equipment identity number and apparatus thereof |
| CN103685706A (en) * | 2012-09-21 | 2014-03-26 | 中兴通讯股份有限公司 | Method for correcting electric quantity of mobile terminal and mobile terminal |
| CN106710592A (en) * | 2016-12-29 | 2017-05-24 | 北京奇虎科技有限公司 | Speech recognition error correction method and speech recognition error correction device used for intelligent hardware equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110120986A (en) | 2019-08-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106294105B (en) | Brushing amount tool detection method and device | |
| CN107194666A (en) | Report Server Management method and terminal device based on block chain technology | |
| JPWO2017115458A1 (en) | Log analysis system, method and program | |
| CN109784738B (en) | Approval method and approval device | |
| CN114757639A (en) | Data processing method, device, equipment and storage medium | |
| CN114707474A (en) | Report generation method and device, electronic equipment and computer readable storage medium | |
| CN109993315B (en) | Data processing method and device and electronic equipment | |
| CN106886476B (en) | Memory analysis method, device and system for client | |
| CN106301975A (en) | A kind of data detection method and device thereof | |
| CN110990350A (en) | Log analysis method and device | |
| CN113986924A (en) | Intelligent data filling method, device, equipment and storage medium | |
| CN110120986B (en) | Method, device and equipment for acquiring electronic equipment information | |
| CN111401023B (en) | Report generation method, report generation device, server and storage medium | |
| CN109614382B (en) | Log segmentation method and device for application | |
| CN113115107B (en) | Handheld video acquisition terminal system based on 5G network | |
| CN115935237A (en) | Method and device for detecting abnormity of service flow data and electronic equipment | |
| CN115293685A (en) | Logistics order state tracking method, device, equipment and storage medium | |
| CN114996758A (en) | Data desensitization method and device and electronic equipment | |
| CN112765641B (en) | Efficient desensitization method and device | |
| CN114268559A (en) | Directional network detection method, device, equipment and medium based on TF-IDF algorithm | |
| CN114237798A (en) | Data processing method, device, server and storage medium | |
| CN114630314B (en) | Updating method, device, equipment and storage medium of terminal information base | |
| CN108881591A (en) | Multi-platform information recommendation method and device and storage medium | |
| CN117176507B (en) | Data analysis method, device, electronic equipment and storage medium | |
| CN118138501A (en) | Request message correctness evaluation method, device, equipment and readable storage medium |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |