CN112395118A - Equipment data detection method and device - Google Patents
Equipment data detection method and device Download PDFInfo
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- CN112395118A CN112395118A CN202011421995.0A CN202011421995A CN112395118A CN 112395118 A CN112395118 A CN 112395118A CN 202011421995 A CN202011421995 A CN 202011421995A CN 112395118 A CN112395118 A CN 112395118A
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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, whether the basic data meets the inductive data characteristics or not is judged, when the basic data meets the inductive data characteristics, the intelligent device to be tested is judged not to finish data clearing, and otherwise, the intelligent device to be tested is judged to finish data clearing. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive data characteristics.
Description
Technical Field
The present invention relates to the field of electronic product technologies, and in particular, to a device data detection method and apparatus.
Background
With the development of electronic product technology, various intelligent devices such as smart phones, notebook computers, tablet computers, and the like are developed. When the user uses the intelligent device, the main means of man-machine interaction with the intelligent device is realized through the screen of the intelligent device. Therefore, the quality of the screen of the intelligent device has an important influence on the use experience of the user. At present, along with the rapid development of economy and technology, the popularization and the updating speed of intelligent equipment are also faster and faster. Taking a smart phone as an example, the coming of the 5G era accelerates the generation change of the smart phone. In the iterative process of the intelligent equipment, effective recovery is one of effective utilization means of the residual value of the intelligent equipment, and the chemical pollution to the environment and the 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 equipment cannot be detected when being recovered, the data of the intelligent equipment is not cleared, on one hand, the privacy of a user can be possibly leaked, on the other hand, if the intelligent equipment has equipment locks such as a screen lock account lock, professional quality inspection personnel cannot start the machine for quality inspection, and unnecessary troubles are caused by time consumption and labor consumption when the original user needs to be contacted to obtain a lock password. At present, a conventional method for detecting whether data of an intelligent device is cleared is to detect whether the intelligent device is provided with a third-party application program, and if the third-party application program exists, it indicates that the intelligent device to be recovered does not clear the data. However, at present, many device manufacturers pre-install a third-party application program when the intelligent device leaves the factory, so that the conventional device data detection method may generate misjudgment, and it is impossible to accurately judge whether the intelligent device to be recovered has cleared data.
Therefore, the conventional device data detection method has the defects.
Disclosure of Invention
Therefore, it is necessary to provide a device data detection method and apparatus for overcoming the defects of the conventional device data detection method.
A device data detection method comprises the following steps:
acquiring basic data of the intelligent equipment to be tested;
judging whether the basic data meets the inductive data characteristics;
and when the basic data meets the summary data characteristics, judging that the intelligent device to be tested does not finish data clearing, otherwise, judging that the intelligent device to be tested finishes data clearing.
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 summarized data characteristics or not is judged, when the basic data meets the summarized data characteristics, the intelligent device to be detected is judged not to finish data clearing, and otherwise, the intelligent device to be detected is judged to finish data clearing. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive data characteristics.
In one embodiment, the basic data includes a total number of login accounts, and the generalized data features include a preset number of login accounts;
judging whether the basic data meets the process of summarizing the data characteristics or not, comprising the following steps of:
and when the total number of the login accounts is larger than the preset login account number, judging that the basic data meets the inductive data characteristics.
In one embodiment, the base data includes a screen lock, and the inductive data feature includes a set screen lock;
judging whether the basic data meets the process of summarizing the data characteristics or not, comprising the following steps of:
when the screen lock has been set, it is determined that the base data satisfies the inductive data feature.
In one embodiment, the base data includes a stored number of pictures and the generalized data feature includes a predetermined number of pictures;
judging whether the basic data meets the process of summarizing the data characteristics or not, comprising the following steps of:
and when the number of stored pictures is larger than the preset number of pictures, judging that the basic data meets the inductive data characteristics.
In one embodiment, the basic data comprises total login account number, screen lock and stored picture number, and the summary data characteristics comprise preset login account number, set screen lock and preset picture number;
judging whether the basic data meets the process of summarizing the data characteristics or not, comprising the following steps of:
when the total number of the login accounts is less than or equal to the preset login user number, judging whether a screen lock is set;
when the screen lock is not set, comparing the number of stored pictures with the preset number of pictures;
and when the number of stored pictures is larger than the preset number of pictures, judging that the basic data meets the inductive data characteristics.
In one embodiment, the screen lock comprises a digital screen lock, a pattern screen lock, a fingerprint screen lock, a face screen lock, and the like.
In one embodiment, the preset number of login users is 0, and the preset number of pictures is 0.
An apparatus for device data detection, 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 meets the inductive data characteristics;
and the result output module is used for judging that the intelligent device to be tested does not finish data clearing when the basic data meets the inductive data characteristics, or judging that the intelligent device to be tested finishes data clearing.
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 summarized data characteristics or not is judged, when the basic data meets the summarized data characteristics, the intelligent device to be detected is judged not to finish data clearing, and otherwise, the intelligent device to be detected is judged to finish data clearing. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive 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.
The computer storage medium judges whether the basic data meets the inductive data characteristics after the basic data of the intelligent device to be tested is obtained, and judges that the intelligent device to be tested does not finish data clearing when the basic data meets the inductive data characteristics, or judges that the intelligent device to be tested finishes data clearing. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive 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 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 meets the inductive data characteristics or not is judged, when the basic data meets the inductive data characteristics, the intelligent equipment to be tested is judged not to finish data clearing, and otherwise, the intelligent equipment to be tested is judged to finish data clearing. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive data characteristics.
Drawings
FIG. 1 is a flow diagram of a method for device data detection according to an embodiment;
FIG. 2 is a flow chart of a method for device data detection 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 for detecting device data according to yet another embodiment;
FIG. 5 is a flow chart of a device data detection method according to yet another embodiment;
FIG. 6 is a flowchart of a method for detecting device data according to an exemplary embodiment;
fig. 7 is a block diagram of an apparatus data detection device according to an embodiment.
Detailed Description
For better understanding of the objects, technical solutions and effects of the present invention, the present invention will be further explained with reference to the accompanying drawings and examples. Meanwhile, the following described examples 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 illustrating an apparatus data detection method according to an embodiment, and as shown in fig. 1, the apparatus data detection method according to an embodiment includes steps S100 to S102:
s100, acquiring basic data of the intelligent device to be tested;
the basic data of the intelligent device can be acquired through a wired communication mode or a wireless communication mode. The wired communication method includes USB communication, bus communication, and the like. The wireless communication method includes network communication, bluetooth communication, and the like. As a better 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 which changes greatly after the intelligent device is used after leaving a factory. In one embodiment, the basic data of the intelligent device to be tested comprises the total login account number, the screen lock and the number of stored pictures.
S101, judging whether the basic data meet the inductive data characteristics;
the method comprises the steps of collecting a large number of prior intelligent devices of different brands and different models, analyzing system data changes of the prior intelligent devices before and after data clearing, summarizing and clearing characteristics of the data, and obtaining generalized data characteristics of a prior concept. In one embodiment, the summary data features include a preset number of loggers, a set screen lock, and a preset number of pictures. The preset login account number corresponds to the total login account number, the set screen lock corresponds to the screen lock, and the preset picture number corresponds to the stored picture number.
In one embodiment, fig. 2 is a flowchart of an apparatus data detection method according to another embodiment, and as shown in fig. 2, the step S101 of determining whether the basic data satisfies the summary data feature includes the steps of S200:
and S200, when the total number of the login accounts is larger than the preset login account number, judging that the basic data meets the summary data characteristics.
The total number of login accounts includes an account number of each app, a user account number of the device, and the like.
In one embodiment, the number of preset login users is 0 to 3. As a preferred embodiment, the number of the preset login users is 0. Namely, when the total number of the login accounts of the intelligent device to be tested is greater than 0, the basic data is judged to meet the inductive data characteristics.
In one embodiment, fig. 3 is a flowchart of an apparatus data detection method according to yet another embodiment, and as shown in fig. 3, the step S101 of determining whether the basic data satisfies the summary data feature includes the steps of S300:
s300, when the screen lock is set, judging that the basic data meets the inductive data characteristics.
In one embodiment, the screen lock comprises a digital screen lock, a pattern screen lock, a fingerprint screen lock, or a face screen lock. That is, when any screen lock has been set, it is determined that the base data satisfies the summarized data characteristic.
In one embodiment, fig. 4 is a flowchart of an apparatus data detection method according to yet another embodiment, and as shown in fig. 4, the step S101 of determining whether the basic data satisfies the summary data feature includes the steps of S400:
s400, when the number of stored pictures is larger than the preset number of pictures, judging that the basic data meets the summary data characteristics.
In one embodiment, the predetermined number of pictures is 0 to 10. As a preferred embodiment, the preset number of pictures is 0. Namely, when the number of the stored pictures of the intelligent device to be tested is more than 0, the basic data is judged to meet the inductive data characteristics.
It should be noted that, while the schemes of step S200, step S300 and step S400 are parallel schemes, the basic data can be determined by combining one or more of them, that is, the basic data is determined to satisfy the generalized data feature when the basic data simultaneously satisfies a plurality of conditions of step S200, step S300 and step S400.
Based on this, in one embodiment, fig. 5 is a flowchart of an apparatus data detection method according to yet another embodiment, and as shown in fig. 5, the process of determining whether the basic data satisfies the summarized data feature in step S101 includes steps S500 to S502:
s500, when the total number of the login accounts is less than or equal to the preset login user number, judging whether a screen lock is set;
s501, comparing the number of stored pictures with a preset number of pictures when a screen lock is not set;
s502, when the number of stored pictures is larger than the preset number of pictures, the basic data is judged to meet the summary data characteristics.
Based on this, fig. 6 is a flowchart of the method for detecting device data according to a specific application example, as shown in fig. 6, it is determined that the basic data satisfies the summary data feature and multiple conditions are simultaneously satisfied, so as to improve the detection accuracy.
And S102, when the basic data meets the inductive data characteristics, judging that the intelligent device to be tested does not finish data clearing, or judging that the intelligent device to be tested finishes data clearing.
When the basic data meet the summary data characteristics, the intelligent device to be tested is judged not to finish data clearing, and relevant operators are instructed to clear data of the intelligent device to be tested or relevant devices are instructed to clear data of the intelligent device to be tested by outputting a detection result of the intelligent device not finishing data clearing.
The device data detection method in any embodiment described above, after obtaining the basic data of the to-be-detected intelligent device, determines whether the basic data meets the summarized data characteristics, determines that the to-be-detected intelligent device does not complete data cleaning when the basic data meets the summarized data characteristics, and otherwise determines that the to-be-detected intelligent device has completed data cleaning. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive data characteristics.
The embodiment of the invention also provides a device for detecting the equipment data.
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 configured to acquire basic data of the intelligent device to be tested;
a data comparison module 101, configured to determine whether the basic data satisfies inductive data characteristics;
and the result output module 102 is configured to determine that the to-be-tested intelligent device does not complete data clearing when the basic data meets the summarized data characteristics, and otherwise determine that the to-be-tested intelligent device completes data clearing.
The device data detection apparatus in any embodiment described above, after obtaining the basic data of the to-be-detected intelligent device, determines whether the basic data meets the summarized data characteristics, determines that the to-be-detected intelligent device does not complete data clearing when the basic data meets the summarized data characteristics, and otherwise determines that the to-be-detected intelligent device has completed data clearing. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive data characteristics.
The embodiment of the invention also provides a computer storage medium, on which computer instructions are stored, and the instructions are executed by a processor to implement the device data detection method of any one of the above embodiments.
Those skilled in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Random Access Memory (RAM), a Read-Only Memory (ROM), a magnetic disk, and an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing 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: a removable storage device, a RAM, a ROM, a magnetic or optical disk, or various other media that can store program code.
Corresponding to the computer storage medium, in one embodiment, a computer device is further provided, where the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the device data detection method in any one of the above embodiments.
The computer equipment judges whether the basic data meets the inductive data characteristics or not after acquiring the basic data of the intelligent equipment to be tested, judges that the intelligent equipment to be tested does not finish data clearing when the basic data meets the inductive data characteristics, and judges that the intelligent equipment to be tested finishes data clearing otherwise. Based on this, through the induction data characteristic of priori, specific basic data in the comprehensive analysis smart machine improves the accuracy that equipment data clears away the detection. Meanwhile, related personnel can also be used for updating the priori knowledge in the detection result after the device data are detected for many times, so that the accuracy of the detection result of the device data can be better improved by the updated inductive data characteristics.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An apparatus data detection method, comprising the steps of:
acquiring basic data of the intelligent equipment to be tested;
judging whether the basic data meets the inductive data characteristics;
and when the basic data meets the summary data characteristics, judging that the intelligent device to be tested does not finish data clearing, otherwise, judging that the intelligent device to be tested finishes data clearing.
2. The device data detecting method according to claim 1, wherein the basic data includes a total number of login accounts, and the summarized data feature includes a preset number of login accounts;
the process of judging whether the basic data meets the summary data characteristics 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 meets the induction data characteristic.
3. The device data detection method of claim 1, wherein the base data includes a screen lock, and the inductive data feature includes a set screen lock;
the process of judging whether the basic data meets the summary data characteristics comprises the following steps:
determining that the base data satisfies the inductive data feature when the screen lock has been set.
4. The device data detection method of claim 1, wherein the base data includes a stored picture number, and the summarized data feature includes a preset picture number;
the process of judging whether the basic data meets the summary data characteristics comprises the following steps:
and when the number of the stored pictures is larger than the preset number of the pictures, judging that the basic data meets the summary data characteristic.
5. The device data detection method according to claim 1, wherein the basic data includes a total number of login accounts, a screen lock, and a number of stored pictures, and the summarized data feature includes a preset number of login accounts, a set screen lock, and a preset number of pictures;
the process of judging whether the basic data meets the summary data characteristics comprises the following steps:
when the total number of the login accounts is less than or equal to the preset login user number, judging whether the screen lock is set;
when the screen lock is not set, comparing the number of stored pictures with the preset number of pictures;
and when the number of the stored pictures is larger than the preset number of the pictures, judging that the basic data meets the summary data characteristic.
6. The device data detection method of claim 3 or 5, wherein the screen lock comprises a digital screen lock, a pattern screen lock, a fingerprint screen lock, or a face screen lock.
7. The device data detection method according to claim 5, wherein the preset number of logged-in users is 0, and the preset number of pictures is 0.
8. An apparatus data detection device, 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 meets the inductive data characteristics;
and the result output module is used for judging that the intelligent device to be tested does not finish data clearing when the basic data meets the summarized data characteristics, or judging that the intelligent device to be tested finishes data clearing.
9. A computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the device data detection method of any one of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the device data detection method according to any one of claims 1 to 7.
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| CN202011421995.0A CN112395118A (en) | 2020-12-08 | 2020-12-08 | Equipment data detection method and device |
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| CN202011421995.0A CN112395118A (en) | 2020-12-08 | 2020-12-08 | Equipment data detection method and device |
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