CN112395118B - Equipment data detection method and device - Google Patents
Equipment data detection method and device Download PDFInfo
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- CN112395118B CN112395118B CN202011421995.0A CN202011421995A CN112395118B CN 112395118 B CN112395118 B CN 112395118B CN 202011421995 A CN202011421995 A CN 202011421995A CN 112395118 B CN112395118 B CN 112395118B
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Abstract
The invention relates to a device data detection method and device. After the basic data of the intelligent device to be tested is obtained, judging whether the basic data meets the summary data characteristics, judging that the intelligent device to be tested does not complete data cleaning when the basic data meets the summary data characteristics, and otherwise judging that the intelligent device to be tested has completed data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
Description
Technical Field
The present invention relates to the field of electronic products, and in particular, to a method and an apparatus for detecting device data.
Background
With the development of electronic product technology, various intelligent devices are layered endlessly, such as smart phones, notebook computers, tablet computers and the like. When the user uses the intelligent device, the main means of human-computer interaction with the intelligent device is realized through the screen of the intelligent device. Therefore, the quality of the screen of the intelligent device plays an important role in the use experience of the user. At present, along with the high-speed development of economy and technology, the popularization and updating speed of intelligent equipment are also faster and faster. Taking a smart phone as an example, the advent of the 5G era has accelerated the generation of smart phones. In the process of iteration of the intelligent equipment, effective recovery is one of effective utilization means of the residual value of the intelligent equipment, so that chemical pollution to the environment and waste can be reduced.
In the recovery process of the intelligent device, whether the intelligent device has cleared data or not needs to be detected, and the intelligent device is restored to a factory data state. If the intelligent device cannot detect that the intelligent device does not clear data when the intelligent device is recovered, on one hand, the privacy of a user can be possibly leaked, and on the other hand, if the intelligent device is provided with a screen lock account lock and other device locks, a professional quality inspection person cannot start up the quality inspection, and unnecessary troubles are caused by time and labor consumption when the professional quality inspection person needs to contact an original user to acquire a lock password. At present, the traditional method for detecting whether the data of the intelligent device is cleared is to detect whether the intelligent device is provided with a third party application program or not, and if the third party application program exists, the intelligent device to be recovered is indicated that the data is not cleared. However, at present, many equipment manufacturers pre-install third party application programs when intelligent equipment leaves the factory, so that the traditional equipment data detection mode can generate misjudgment, and whether the intelligent equipment to be recovered has cleared data cannot be accurately judged.
It can be seen that the conventional device data detection method has the above defects.
Disclosure of Invention
Based on this, it is necessary to provide a device data detection method and apparatus for overcoming the defects existing in the conventional device data detection method.
A device data detection method comprising the steps of:
Acquiring basic data of intelligent equipment to be tested;
Judging whether the basic data meets the characteristics of the induced data or not;
And when the basic data meet the summary data characteristics, judging that the intelligent equipment to be tested does not complete data cleaning, otherwise, judging that the intelligent equipment to be tested has completed data cleaning.
According to the device data detection method, after the basic data of the intelligent device to be detected is obtained, whether the basic data meets the summary data features is judged, when the basic data meets the summary data features, the intelligent device to be detected is judged to not complete data cleaning, and otherwise, the intelligent device to be detected is judged to complete data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
In one embodiment, the base data includes a total number of login accounts, and the summary data feature includes a preset number of login accounts;
the process for judging whether the basic data meets the characteristic of the induction data comprises the following steps:
And when the total number of the login accounts is larger than the preset login account number, judging that the basic data meet the inductive data characteristics.
In one embodiment, the base data includes a screen lock and the generalized data feature includes a set screen lock;
the process for judging whether the basic data meets the characteristic of the induction data comprises the following steps:
when the screen lock has been set, it is determined that the basic data satisfies the summary data feature.
In one embodiment, the basic data includes a stored picture number, and the generalized data feature includes a preset picture number;
the process for judging whether the basic data meets the characteristic of the induction data comprises the following steps:
and when the stored picture number is larger than the preset picture number, judging that the basic data meets the inductive data characteristics.
In one embodiment, the basic data includes a total number of login accounts, a screen lock and a stored picture number, and the summary data features include a preset number of login accounts, a set screen lock and a preset picture number;
the process for judging whether the basic data meets the characteristic of the induction data comprises the following steps:
when the total number of login accounts is smaller than or equal to the preset login account number, judging whether a screen lock is set;
When the screen lock is not set, comparing the stored picture number with a preset picture number;
and when the stored picture number is larger than the preset picture number, judging that the basic data meets the inductive data characteristics.
In one embodiment, the screen lock includes a digital screen lock, a pattern screen lock, a fingerprint screen lock, a face screen lock, and the like.
In one embodiment, the preset registration number is 0, and the preset picture number is 0.
A device data detection apparatus, comprising:
the data acquisition module is used for acquiring basic data of the intelligent equipment to be tested;
the data comparison module is used for judging whether the basic data meet the characteristics of the induced data;
And the result output module is used for judging that the intelligent equipment to be tested does not complete data cleaning when the basic data meet the summary data characteristics, or judging that the intelligent equipment to be tested completes data cleaning.
According to the device data detection device, after the basic data of the intelligent device to be detected is obtained, whether the basic data meets the summary data characteristics is judged, when the basic data meets the summary data characteristics, the intelligent device to be detected is judged to not complete data cleaning, and otherwise, the intelligent device to be detected is judged to complete data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
A computer storage medium having stored thereon computer instructions which, when executed by a processor, implement the device data detection method of any of the above embodiments.
According to the computer storage medium, after the basic data of the intelligent device to be tested is obtained, whether the basic data meet the summary data characteristics is judged, when the basic data meet the summary data characteristics, the intelligent device to be tested is judged to not complete data cleaning, and otherwise, the intelligent device to be tested is judged to complete data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the device data detection method of any of the above embodiments when the program is executed by the processor.
According to the computer equipment, after the basic data of the intelligent equipment to be tested is obtained, whether the basic data meet the summary data characteristics is judged, when the basic data meet the summary data characteristics, the intelligent equipment to be tested is judged to not complete data cleaning, and otherwise, the intelligent equipment to be tested is judged to complete data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
Drawings
FIG. 1 is a flow chart of a device data detection method according to an embodiment;
FIG. 2 is a flow chart of a device data detection method according to another embodiment;
FIG. 3 is a flow chart of a device data detection method according to yet another embodiment;
FIG. 4 is a flow chart of a method of device data detection according to yet another embodiment;
FIG. 5 is a flow chart of a method of device data detection according to yet another embodiment;
FIG. 6 is a flowchart of a method for detecting device data according to a specific embodiment;
fig. 7 is a block diagram of a device data detection apparatus according to an embodiment.
Detailed Description
For a better understanding of the objects, technical solutions and technical effects of the present invention, the present invention will be further explained below with reference to the drawings and examples. Meanwhile, it is stated that the embodiments described below are only for explaining the present invention and are not intended to limit the present invention.
The embodiment of the invention provides a device data detection method.
Fig. 1 is a flowchart of an apparatus data detection method according to an embodiment, as shown in fig. 1, the apparatus data detection method according to an embodiment includes steps S100 to S102:
s100, basic data of intelligent equipment to be tested are obtained;
The basic data of the intelligent device can be acquired through a wired communication mode or a wireless communication mode. The wired communication mode includes USB communication, bus communication, and the like. Wireless communication methods include network communication, bluetooth communication, and the like. As a preferred implementation mode, the basic data of the intelligent device to be tested is obtained through a USB communication mode.
The basic data of the intelligent device to be tested comprises system data with larger change after the intelligent device is shipped from factory. In one embodiment, the basic data of the smart device to be tested includes the total number of login accounts, the screen lock and the stored picture number.
S101, judging whether basic data meets the characteristics of the inductive data or not;
And analyzing the system data change of each priori intelligent device before and after data clearing by collecting a large number of priori intelligent devices of different brands and different models, summarizing the features of the cleared data, and obtaining the summary data features of the priori concepts. In one embodiment, the summary data features include a preset number of login, a set screen lock, and a preset number of pictures. The preset number of login accounts corresponds to the total number of login accounts, the set screen locks correspond to the screen locks, and the preset number of pictures corresponds to the number of stored pictures.
In one example, fig. 2 is a flowchart of a device data detection method according to another embodiment, as shown in fig. 2, a process of determining whether basic data satisfies a summary data feature in step S101 includes step S200:
and S200, when the total number of the login accounts is larger than the preset login account number, judging that the basic data meet the summary data characteristics.
Wherein the total number of login accounts comprises account numbers of the apps, user account numbers of the equipment and the like.
In one embodiment, the preset number of login is 0 to 3. As a preferred embodiment, the preset number of registration is 0. And when the total number of login accounts of the intelligent equipment to be tested is larger than 0, judging that the basic data meets the inductive data characteristics.
In one example, fig. 3 is a flowchart of a device data detection method according to another embodiment, as shown in fig. 3, a process of determining whether basic data satisfies a summary data feature in step S101 includes step S300:
S300, when the screen lock is set, judging that the basic data meets the inductive data characteristic.
In one embodiment, the screen lock comprises a digital screen lock, a pattern screen lock, a fingerprint screen lock, or a face screen lock. I.e. when any screen lock has been set, it is determined that the basic data satisfies the summary data feature.
In one example, fig. 4 is a flowchart of a device data detection method according to still another embodiment, as shown in fig. 4, a process of determining whether basic data satisfies a summary data feature in step S101 includes step S400:
S400, when the number of stored pictures is larger than the number of preset pictures, judging that the basic data meet the characteristics of the inductive data.
In one embodiment, the preset number of pictures is 0 to 10. As a preferred embodiment, the preset number of pictures is 0. And when the number of the stored pictures of the intelligent device to be detected is larger than 0, judging that the basic data meets the inductive data characteristics.
It should be noted that, while the schemes of the step S200, the step S300, and the step S400 are parallel schemes, the basic data may be determined by combining one or more of them, that is, when the basic data satisfies a plurality of conditions in the step S200, the step S300, and the step S400 at the same time, it is determined that the basic data satisfies the summary data feature.
Based on this, in one example, fig. 5 is a flowchart of a device data detection method according to another embodiment, and as shown in fig. 5, a process of determining whether the basic data satisfies the summary data feature in step S101 includes steps S500 to S502:
s500, judging whether a screen lock is set or not when the total number of login accounts is smaller than or equal to the preset login account number;
s501, comparing the stored picture number with a preset picture number when a screen lock is not set;
s502, when the number of stored pictures is larger than the number of preset pictures, judging that the basic data meets the characteristics of the inductive data.
Based on this, fig. 6 is a flowchart of a method for detecting device data in a specific application example, as shown in fig. 6, it is determined that the basic data satisfies the summary data feature and needs to satisfy multiple conditions at the same time, so as to improve the detection accuracy.
S102, when the basic data meet the summary data characteristics, judging that the intelligent device to be tested does not complete data cleaning, otherwise, judging that the intelligent device to be tested has completed data cleaning.
When the basic data meet the summary data characteristics, judging that the intelligent equipment to be tested does not complete data cleaning, and indicating related operators to clean the data of the intelligent equipment to be tested or related equipment to clean the data of the intelligent equipment to be tested by outputting a detection result of the intelligent equipment that the intelligent equipment does not complete data cleaning.
According to the device data detection method of any embodiment, after the basic data of the intelligent device to be detected is obtained, whether the basic data meets the summary data features is judged, when the basic data meets the summary data features, the intelligent device to be detected is judged to not complete data cleaning, and otherwise, the intelligent device to be detected is judged to complete data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
The embodiment of the invention also provides a device data detection device.
Fig. 7 is a block diagram of an apparatus data detection device according to an embodiment, and as shown in fig. 7, the apparatus data detection device according to an embodiment includes a block 100, a block 101, and a block 102:
The data acquisition module 100 is used for acquiring basic data of the intelligent device to be tested;
A data comparison module 101, configured to determine whether the basic data satisfies the summary data feature;
And the result output module 102 is used for judging that the intelligent device to be tested does not complete data cleaning when the basic data meets the summary data characteristics, otherwise, judging that the intelligent device to be tested has completed data cleaning.
The device data detection device according to any one of the embodiments above, after obtaining the basic data of the intelligent device to be detected, determines whether the basic data meets the summary data characteristics, and when the basic data meets the summary data characteristics, determines that the intelligent device to be detected does not complete data cleaning, or else determines that the intelligent device to be detected has completed data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
The embodiment of the invention also provides a computer storage medium, on which computer instructions are stored, which when executed by a processor, implement the device data detection method of any of the above embodiments.
Those skilled in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a random access Memory (RAM, random Access Memory), a Read-Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be essentially or part contributing to the related art, and the computer software product may be stored in a storage medium, and include several instructions to cause a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program code, such as a removable storage device, RAM, ROM, magnetic or optical disk.
Corresponding to the above computer storage medium, in one embodiment, there is also provided a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the device data detection method according to any one of the above embodiments when executing the program.
According to the computer equipment, after the basic data of the intelligent equipment to be tested is obtained, whether the basic data meet the summary data characteristics is judged, when the basic data meet the summary data characteristics, the intelligent equipment to be tested is judged to not complete data cleaning, and otherwise, the intelligent equipment to be tested is judged to complete data cleaning. Based on the method, specific basic data in the intelligent equipment is comprehensively analyzed through priori induction of data characteristics, and the accuracy of equipment data clearing detection is improved. Meanwhile, the detection result after multiple times of equipment data detection can be used for updating priori knowledge by related personnel, so that the accuracy of the equipment data detection result can be better improved by the updated generalized data characteristics.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (3)
1. A method for detecting device data, comprising the steps of:
Acquiring basic data of intelligent equipment to be tested;
judging whether the basic data meets the generalized data characteristics or not;
When the basic data meets the generalized data characteristics, judging that the intelligent equipment to be tested does not complete data cleaning, otherwise, judging that the intelligent equipment to be tested has completed data cleaning;
the basic data comprise the total number of login accounts, and the inductive data features comprise the preset login account numbers;
the process for judging whether the basic data meets the summary data characteristics or not comprises the following steps:
When the total number of login accounts is larger than the preset login account number, judging that the basic data meets the inductive data characteristics; the preset login account number is 0.
2. A computer storage medium having stored thereon computer instructions which when executed by a processor implement the device data detection method of claim 1.
3. A computer device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the device data detection method of claim 1 when the program is executed by the processor.
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| WO2022040667A1 (en) | 2020-08-17 | 2022-02-24 | Ecoatm, Llc | Evaluating an electronic device using a wireless charger |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
| CN113110806A (en) * | 2021-05-07 | 2021-07-13 | 广州绿怡信息科技有限公司 | Data clearing detection method and device |
| CN113254292A (en) * | 2021-05-20 | 2021-08-13 | 广州绿怡信息科技有限公司 | Distance sensing function detection method and device |
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| CN111277696A (en) * | 2020-01-21 | 2020-06-12 | 上海悦易网络信息技术有限公司 | Method and device for detecting privacy of apple mobile phone |
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| CN105956442A (en) * | 2016-04-29 | 2016-09-21 | 宇龙计算机通信科技(深圳)有限公司 | Data clearing method and terminal device |
| CN106503582A (en) * | 2016-10-31 | 2017-03-15 | 珠海市魅族科技有限公司 | A kind of erasing of information method and device |
| JP2018181206A (en) * | 2017-04-20 | 2018-11-15 | 日本電気株式会社 | Data processing device, data processing method, and program |
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