CN113238905A - Screen jumpiness detection method and device - Google Patents
Screen jumpiness detection method and device Download PDFInfo
- Publication number
- CN113238905A CN113238905A CN202110588622.0A CN202110588622A CN113238905A CN 113238905 A CN113238905 A CN 113238905A CN 202110588622 A CN202110588622 A CN 202110588622A CN 113238905 A CN113238905 A CN 113238905A
- Authority
- CN
- China
- Prior art keywords
- screen
- refreshing
- detected
- intelligent device
- log
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
- G06F11/2221—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test input/output devices or peripheral units
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/26—Functional testing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/30—Administration of product recycling or disposal
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation
Abstract
The invention relates to a method and a device for detecting screen jumpiness. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
Description
Technical Field
The invention relates to the technical field of electronic products, in particular to a method and a device for detecting screen jumpiness.
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, the quality of the screen of the intelligent device can affect the residual value of the intelligent device. Generally, the recovery intelligent device can detect whether the screen is normal or not. The screen jumpiness can seriously affect the normal use of the intelligent equipment, and further affect the residual value rate of the intelligent equipment. Therefore, in the recovery process of the intelligent equipment, whether the screen jumps randomly or not needs to be detected to provide reference for the intelligent equipment to recover the valuation, and the risk of recovering the loss is reduced.
The traditional method for detecting whether the screen of the intelligent equipment jumps randomly is mainly characterized in that after receiving the recovered intelligent equipment, professional quality control personnel observe the screen of the intelligent equipment to judge whether the screen of the intelligent equipment jumps randomly.
However, the workload of manual detection is large and the detection result is unstable, so that it is difficult to accurately and effectively provide a reference for recycling evaluation.
Disclosure of Invention
Therefore, it is necessary to provide a method and an apparatus for detecting screen jumpiness, which aim at the problems of heavy workload and unstable detection result of a method for manually detecting whether the screen of an intelligent device jumpiness.
A screen jumble detection method comprises the following steps:
acquiring a screen refreshing log of the intelligent device to be detected;
determining the refreshing frequency of the intelligent device to be detected according to the screen refreshing log;
and when the refreshing frequency is greater than the preset frequency threshold value, judging that the screen of the intelligent device to be detected has a disorder jump state.
According to the method for detecting the screen jumpiness, after the screen refreshing log of the intelligent device to be detected is obtained, the refreshing frequency of the intelligent device to be detected is determined according to the screen refreshing log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
In one embodiment, the process of obtaining a screen refresh log of a to-be-detected smart device includes the steps of:
and acquiring a screen refreshing log of the intelligent device to be detected in a preset time period.
In one embodiment, the method further comprises the following steps:
and when the data stream corresponding to the screen refreshing log is empty, judging that the screen jumbling condition of the intelligent device to be detected is unknown.
In one embodiment, the process of determining the refresh frequency of the intelligent device to be detected according to the screen refresh log includes the steps of:
and determining the refreshing frequency of the intelligent device to be detected according to the time interval between two adjacent refreshing time screens for refreshing the logs.
In one embodiment, the process of acquiring the preset frequency threshold includes the following steps:
acquiring screen refreshing log historical data of the intelligent device to be detected;
and determining a preset frequency threshold according to the historical data of the screen refreshing log.
In one embodiment, the process of determining the preset frequency threshold according to the historical data of the screen refresh log comprises the steps of:
determining a screen use scene of the intelligent device to be detected according to the screen refreshing log historical data;
and taking the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency as a preset frequency threshold.
In one embodiment, the process of using the screen refresh frequency corresponding to the screen usage scenario with the highest screen refresh frequency as the preset frequency threshold includes the steps of:
and taking the average value of the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency as a preset frequency threshold.
A screen bounce detection device, comprising:
the log obtaining module is used for obtaining a screen refreshing log of the intelligent device to be detected;
the frequency acquisition module is used for determining the refreshing frequency of the intelligent equipment to be detected according to the screen refreshing log;
and the condition determining module is used for judging that the screen of the intelligent device to be detected has a disorder jump state when the refreshing frequency is greater than the preset frequency threshold.
After the screen refreshing log of the intelligent device to be detected is obtained, the screen jumpiness detection device determines the refreshing frequency of the intelligent device to be detected according to the screen refreshing log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
A computer storage medium having computer instructions stored thereon, the computer instructions when executed by a processor implementing the screen bounce detection method of any of the above embodiments.
After the screen refreshing log of the intelligent device to be detected is obtained, the computer storage medium determines the refreshing frequency of the intelligent device to be detected according to the screen refreshing log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
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 screen bounce detection method of any of the above embodiments when executing the program.
After the screen refreshing log of the intelligent device to be detected is obtained, the computer device determines the refreshing frequency of the intelligent device to be detected according to the screen refreshing log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
Drawings
FIG. 1 is a flow chart of a method for detecting screen jumpiness according to an embodiment;
FIG. 2 is a flow chart of a method for detecting screen jumpiness according to another embodiment;
FIG. 3 is a flow chart of a predetermined frequency threshold determination according to an embodiment;
FIG. 4 is a flow chart illustrating a predetermined frequency threshold determination according to another embodiment;
FIG. 5 is a flow chart illustrating a predetermined frequency threshold determination according to yet another embodiment;
FIG. 6 is a block diagram of an embodiment of a device for detecting screen jumpiness;
FIG. 7 is a schematic diagram of an internal structure of a computer 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 intelligent device to be detected can be recovered and detected through the self-service terminal or the recovery machine in the recovery process of the intelligent device to be detected. The self-service terminal or the recovery machine can establish data connection with the intelligent device to be detected in a wired connection or wireless connection mode, and acquire corresponding data of the intelligent device to be detected or transmit the corresponding data to the intelligent device to be detected. Meanwhile, the self-service terminal or the recovery machine can be used as a computing platform for hardware detection, or data are sent to a cloud server to complete computing. Based on the method, in the recovery detection of the self-service terminal or the recovery machine, a screen jumpiness detection method is provided for the hardware detection of the intelligent device to be detected.
Fig. 1 is a flowchart of a screen jumpiness detection method according to an embodiment, and as shown in fig. 1, the screen jumpiness detection method according to an embodiment includes steps S100 to S102:
s100, acquiring a screen refreshing log of the intelligent device to be detected;
when the intelligent device to be detected is in use, the screen can be refreshed in real time. The refreshing frequency of the screen is different in different use scenes, and taking the intelligent device to be detected as a mobile phone as an example, the refreshing frequency in a common use scene is lower, and the refreshing frequency in a game scene is higher. And the refreshing frequency in the using process is recorded in a system running log of the intelligent device to be detected, namely a screen refreshing log.
In one embodiment, the intelligent device to be detected comprises an ios device. The self-service terminal or the recovery machine is connected with the USB data of the intelligent device to be detected, the self-service terminal or the recovery machine runs the usbmuxd daemon to establish a connecting channel with the intelligent device to be detected, and the self-service terminal or the recovery machine communicates with the intelligent device to be detected according to the connecting channel. After the connection channel is established, the self-service terminal or the recovery machine starts an idevicesyslog capturing program, captures a system running log of the intelligent device to be detected, reads the running log of the intelligent device to be detected through the idevicessyslog capturing program, and stores the running log into a log cache list to be analyzed. The system operation log comprises a screen refreshing log of the intelligent device to be detected.
In one embodiment, fig. 2 is a flowchart of a screen bounce detection method according to another embodiment, and as shown in fig. 2, the process of acquiring a screen refresh log of an intelligent device to be detected in step S100 includes step S200:
s200, acquiring a screen refreshing log of the intelligent device to be detected in a preset time period.
In one embodiment, the preset time period may be adjusted according to the logging time or the device type of the smart device to be detected. And the number of the acquired screen refreshing logs is limited by determining the preset time period, so that the subsequent data processing amount is reduced. As a better implementation mode, the setting of the preset time period provides enough time for capturing the screen refreshing logs of each operation link.
In one embodiment, as shown in fig. 2, the screen bounce detection method of another embodiment further includes step S201:
s201, when the data stream corresponding to the screen refreshing log is empty, judging that the screen jumpiness condition of the intelligent device to be detected is unknown.
And when the data stream corresponding to the screen refreshing log is empty, namely the log data stream of the intelligent device to be detected is empty, judging that the screen jumpiness condition of the intelligent device to be detected is unknown, and outputting the unknown as a judgment result to a recovery platform of the intelligent device to be detected.
S101, determining the refreshing frequency of the intelligent device to be detected according to the screen refreshing log;
in one embodiment, the refresh frequency of the intelligent device to be detected is determined according to the screen refresh log in the preset time period.
In one embodiment, as shown in fig. 2, the process of determining the refresh frequency of the smart device to be detected according to the screen refresh log in step S101 includes step S202:
s202, determining the refreshing frequency of the intelligent device to be detected according to the time interval between two adjacent screen refreshing logs.
The method comprises the steps that a screen of the intelligent device to be detected is continuously refreshed, screen refreshing logs are obtained and sorted according to refreshing time, and the time interval between two adjacent screen refreshing logs in the refreshing time can be used for calculating the refreshing frequency of the intelligent device to be detected.
S102, when the refreshing frequency is larger than a preset frequency threshold value, judging that the screen of the intelligent device to be detected has a jumble state.
The determination of the preset frequency threshold value can be performed according to the device type of the intelligent device to be detected and historical data in the comprehensive detection process. For example, the screen refresh frequency of the intelligent device to be detected is 60Hz, and the preset frequency threshold value can be set to be 75-85 Hz.
In one embodiment, fig. 3 is a flowchart illustrating a process of determining a preset frequency threshold according to an embodiment, and as shown in fig. 3, the process of acquiring the preset frequency threshold includes steps S300 and S301:
s300, acquiring historical screen refreshing log data of the intelligent device to be detected;
s301, determining a preset frequency threshold according to the historical data of the screen refreshing log.
The preset frequency threshold value is determined by obtaining the historical data of the screen refreshing logs of the intelligent device to be detected in a set time period before recovery detection, and calculating the historical average value or the historical maximum value of the screen refreshing frequency of the intelligent device to be detected according to the historical data of the screen refreshing logs.
In one embodiment, fig. 4 is a flowchart illustrating a process of determining a preset frequency threshold according to screen refresh log history data in step S301, as shown in fig. 4, where the process includes steps S400 and S401:
s400, determining a screen using scene of the intelligent device to be detected according to the historical data of the screen refreshing log;
s401, taking the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency as a preset frequency threshold.
Different screen refreshing frequencies are determined according to the historical data of the screen refreshing logs, and corresponding screen using scenes are determined according to the different screen refreshing frequencies. And taking the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency, namely the average screen refreshing frequency or the highest screen refreshing frequency of the intelligent device to be detected in the screen use scene as a preset frequency threshold.
In one embodiment, fig. 5 is a flowchart illustrating a preset frequency threshold determination method according to yet another embodiment, and as shown in fig. 5, a process of using a screen refresh frequency corresponding to a screen usage scene with a highest screen refresh frequency as the preset frequency threshold in step S401 includes step S500:
s500, taking the average value of the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency as a preset frequency threshold.
In the method for detecting a screen jumpiness according to any of the embodiments, after the screen refresh log of the intelligent device to be detected is obtained, the refresh frequency of the intelligent device to be detected is determined according to the screen refresh log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
The embodiment of the invention also provides a screen jumbling detection device.
Fig. 6 is a block diagram of a screen bounce detection apparatus according to an embodiment, and as shown in fig. 6, the screen bounce detection apparatus according to an embodiment includes a module 100, a module 101, and a module 102:
the log obtaining module 100 is configured to obtain a screen refreshing log of the to-be-detected intelligent device;
the frequency obtaining module 101 is configured to determine a refresh frequency of the intelligent device to be detected according to the screen refresh log;
the condition determining module 102 is configured to determine that a screen of the intelligent device to be detected has a bounce state when the refresh frequency is greater than the preset frequency threshold.
After the screen refreshing log of the intelligent device to be detected is obtained, the screen jumpiness detection device determines the refreshing frequency of the intelligent device to be detected according to the screen refreshing log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
The embodiment of the invention also provides a computer storage medium, wherein computer instructions are stored on the computer storage medium, and when the instructions are executed by a processor, the method for detecting the screen jumpiness of any one of the embodiments is realized.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
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 any one of the screen bounce detection methods in the embodiments.
The computer device may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a screen bounce detection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
After the screen refreshing log of the intelligent device to be detected is obtained, the computer device determines the refreshing frequency of the intelligent device to be detected according to the screen refreshing log. Further, when the refreshing frequency is larger than a preset frequency threshold value, the screen of the intelligent device to be detected is judged to have a jumble state. Based on the method, the screen disorder state of the intelligent device to be detected is judged through the screen refreshing log of the intelligent device to be detected, the calculation process is simple, the data processing amount is small, a large amount of manual operation and data calculation are not needed, the screen disorder detection stability and accuracy are guaranteed while the screen disorder detection processing amount is reduced, and effective reference is provided for recovery of the intelligent device to be detected.
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. A screen jumble detection method is characterized by comprising the following steps:
acquiring a screen refreshing log of the intelligent device to be detected;
determining the refreshing frequency of the intelligent equipment to be detected according to the screen refreshing log;
and when the refreshing frequency is greater than a preset frequency threshold value, judging that the screen of the intelligent device to be detected has a jumble state.
2. The screen jumbling detection method according to claim 1, wherein the process of acquiring the screen refreshing log of the intelligent device to be detected comprises the following steps:
and acquiring a screen refreshing log of the intelligent device to be detected within a preset time period.
3. The screen jumbling detection method according to claim 1, further comprising the steps of:
and when the data stream corresponding to the screen refreshing log is empty, judging that the screen jumbling condition of the intelligent device to be detected is unknown.
4. The screen jumbling detection method according to claim 1, wherein the process of determining the refresh frequency of the intelligent device to be detected according to the screen refresh log comprises the following steps:
and determining the refreshing frequency of the intelligent equipment to be detected according to the time interval between two adjacent screen refreshing logs in refreshing time.
5. The screen jumbling detection method according to claim 1, wherein the acquisition process of the preset frequency threshold comprises the following steps:
acquiring screen refreshing log historical data of the intelligent device to be detected;
and determining the preset frequency threshold according to the historical data of the screen refreshing log.
6. The screen bounce detection method according to claim 5, wherein the process of determining the preset frequency threshold from the screen refresh log history data comprises the steps of:
determining a screen use scene of the intelligent device to be detected according to the screen refreshing log historical data;
and taking the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency as the preset frequency threshold.
7. The screen jumbling detection method according to claim 6, wherein the process of taking the screen refresh frequency corresponding to the screen use scene with the highest screen refresh frequency as the preset frequency threshold comprises the steps of:
and taking the average value of the screen refreshing frequency corresponding to the screen use scene with the highest screen refreshing frequency as the preset frequency threshold.
8. A screen bounce detection device, comprising:
the log obtaining module is used for obtaining a screen refreshing log of the intelligent device to be detected;
the frequency acquisition module is used for determining the refreshing frequency of the intelligent equipment to be detected according to the screen refreshing log;
and the condition determining module is used for judging that the screen of the intelligent device to be detected has a jumble state when the refreshing frequency is greater than a preset frequency threshold value.
9. A computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement a screen bounce detection method according to 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 screen bounce detection method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110588622.0A CN113238905B (en) | 2021-05-28 | 2021-05-28 | Screen jumpiness detection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110588622.0A CN113238905B (en) | 2021-05-28 | 2021-05-28 | Screen jumpiness detection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113238905A true CN113238905A (en) | 2021-08-10 |
| CN113238905B CN113238905B (en) | 2023-04-07 |
Family
ID=77139326
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110588622.0A Active CN113238905B (en) | 2021-05-28 | 2021-05-28 | Screen jumpiness detection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113238905B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11436570B2 (en) | 2014-10-31 | 2022-09-06 | Ecoatm, Llc | Systems and methods for recycling consumer electronic devices |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991034A (en) * | 2017-04-01 | 2017-07-28 | 奇酷互联网络科技（深圳）有限公司 | A kind of method and apparatus and mobile terminal for monitoring interim card |
| CN107038011A (en) * | 2016-02-04 | 2017-08-11 | 中兴通讯股份有限公司 | It is a kind of to adjust the method and device for showing fluency, mobile terminal |
| CN108052280A (en) * | 2017-11-29 | 2018-05-18 | 努比亚技术有限公司 | A kind of data cached delet method, terminal and computer readable storage medium |
| CN108073485A (en) * | 2017-12-22 | 2018-05-25 | 珠海市君天电子科技有限公司 | Terminal screen fluency test method, device and equipment |
| CN108121631A (en) * | 2016-11-28 | 2018-06-05 | 北京小米移动软件有限公司 | Screen abnormality based reminding method and device |
| WO2018137356A1 (en) * | 2017-01-25 | 2018-08-02 | 京东方科技集团股份有限公司 | Oled touch display panel, display device and detection method for touch operation region |
| CN109165154A (en) * | 2018-09-10 | 2019-01-08 | 广东小天才科技有限公司 | A kind of display interface fluency statistical method and system, mobile terminal and server |
| CN109495340A (en) * | 2018-11-02 | 2019-03-19 | 国电南京自动化股份有限公司 | A kind of Android application performance monitoring statisticss method and system |
| CN111159042A (en) * | 2019-12-31 | 2020-05-15 | 可牛网络技术（北京）有限公司 | Fluency testing method and device and electronic equipment |
| CN111405218A (en) * | 2020-03-26 | 2020-07-10 | 深圳市微测检测有限公司 | Touch screen time delay detection method, system, device, equipment and storage medium |
| US20210011824A1 (en) * | 2019-07-08 | 2021-01-14 | Communications Test Design, Inc. | System, apparatus and methods for automatically testing mobile devices |
| CN112637660A (en) * | 2020-12-21 | 2021-04-09 | 四川长虹电器股份有限公司 | Image stabilization method for starting up android television video application |
-
2021
- 2021-05-28 CN CN202110588622.0A patent/CN113238905B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107038011A (en) * | 2016-02-04 | 2017-08-11 | 中兴通讯股份有限公司 | It is a kind of to adjust the method and device for showing fluency, mobile terminal |
| CN108121631A (en) * | 2016-11-28 | 2018-06-05 | 北京小米移动软件有限公司 | Screen abnormality based reminding method and device |
| WO2018137356A1 (en) * | 2017-01-25 | 2018-08-02 | 京东方科技集团股份有限公司 | Oled touch display panel, display device and detection method for touch operation region |
| CN106991034A (en) * | 2017-04-01 | 2017-07-28 | 奇酷互联网络科技（深圳）有限公司 | A kind of method and apparatus and mobile terminal for monitoring interim card |
| CN108052280A (en) * | 2017-11-29 | 2018-05-18 | 努比亚技术有限公司 | A kind of data cached delet method, terminal and computer readable storage medium |
| CN108073485A (en) * | 2017-12-22 | 2018-05-25 | 珠海市君天电子科技有限公司 | Terminal screen fluency test method, device and equipment |
| CN109165154A (en) * | 2018-09-10 | 2019-01-08 | 广东小天才科技有限公司 | A kind of display interface fluency statistical method and system, mobile terminal and server |
| CN109495340A (en) * | 2018-11-02 | 2019-03-19 | 国电南京自动化股份有限公司 | A kind of Android application performance monitoring statisticss method and system |
| US20210011824A1 (en) * | 2019-07-08 | 2021-01-14 | Communications Test Design, Inc. | System, apparatus and methods for automatically testing mobile devices |
| CN111159042A (en) * | 2019-12-31 | 2020-05-15 | 可牛网络技术（北京）有限公司 | Fluency testing method and device and electronic equipment |
| CN111405218A (en) * | 2020-03-26 | 2020-07-10 | 深圳市微测检测有限公司 | Touch screen time delay detection method, system, device, equipment and storage medium |
| CN112637660A (en) * | 2020-12-21 | 2021-04-09 | 四川长虹电器股份有限公司 | Image stabilization method for starting up android television video application |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11436570B2 (en) | 2014-10-31 | 2022-09-06 | Ecoatm, Llc | Systems and methods for recycling consumer electronic devices |
| US11922467B2 (en) | 2020-08-17 | 2024-03-05 | ecoATM, Inc. | Evaluating an electronic device using optical character recognition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113238905B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20190087559A1 (en) | Method for Fingerprint Unlocking and Terminal | |
| CN113238905B (en) | Screen jumpiness detection method and device | |
| CN110059468B (en) | Applet risk identification method and device | |
| CN107707509B (en) | Method, device and system for identifying and assisting in identifying false traffic | |
| CN110442712B (en) | Risk determination method, risk determination device, server and text examination system | |
| CN113268162A (en) | Screen replacement detection method and device | |
| KR20140091555A (en) | Measuring web page rendering time | |
| CN108509348B (en) | System aging test method and mobile terminal | |
| CN112395118A (en) | Equipment data detection method and device | |
| CN113238680A (en) | Screen touch and break detection method and device | |
| CN106789973B (en) | Page security detection method and terminal equipment | |
| CN110083775B (en) | Configuration method and configuration device for recommended resources | |
| CN110633255A (en) | Method and device for acquiring user use duration | |
| CN113254294A (en) | Equipment restart detection method and device | |
| CN113032198A (en) | Hardware detection method and device | |
| CN105468960B (en) | method and device for displaying password plaintext, mobile equipment and computer | |
| KR20160146150A (en) | System and method for protecting privacy | |
| CN113132523B (en) | Call detection model training method and call detection method | |
| CN113220648A (en) | Audio function detection method and device | |
| CN108804917B (en) | File detection method and device, electronic equipment and storage medium | |
| CN111460449A (en) | Application program identification method, system, storage medium and electronic device | |
| CN113237473A (en) | Compass function detection method and device | |
| CN113422860B (en) | Method and device for detecting abnormal call | |
| CN108197475B (en) | Malicious so module detection method and related device | |
| CN110688319A (en) | Application keep-alive capability test method and related device |
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 |