CN113254292A - Distance sensing function detection method and device - Google Patents

Distance sensing function detection method and device Download PDF

Info

Publication number
CN113254292A
CN113254292A CN202110551762.0A CN202110551762A CN113254292A CN 113254292 A CN113254292 A CN 113254292A CN 202110551762 A CN202110551762 A CN 202110551762A CN 113254292 A CN113254292 A CN 113254292A
Authority
CN
China
Prior art keywords
distance sensing
detected
log
distance
sensing function
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.)
Pending
Application number
CN202110551762.0A
Other languages
Chinese (zh)
Inventor
欧阳俊
林发宁
廖伟权
刘嘉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Epbox Information Technology Co ltd
Original Assignee
Guangzhou Epbox Information Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangzhou Epbox Information Technology Co ltd filed Critical Guangzhou Epbox Information Technology Co ltd
Priority to CN202110551762.0A priority Critical patent/CN113254292A/en
Publication of CN113254292A publication Critical patent/CN113254292A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/26Functional testing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2205Detection 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
    • G06F11/2221Detection 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

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The invention relates to a distance sensing function detection method and device, which are used for determining each sub-log in a distance sensing operation log according to the change of designated operation after the distance sensing operation log after the designated operation of an intelligent device to be detected is obtained. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.

Description

Distance sensing function detection method and device
Technical Field
The invention relates to the technical field of electronic products, in particular to a distance sensing function detection method and device.
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 equipment, the residual value of the intelligent equipment is influenced by the distance sensing function. Generally, the recovery intelligent device can detect whether the distance sensing function is normal. The abnormal distance sensing function 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 smart machine, all need detect and normally provide the reference for smart machine recovery valuation apart from the response function, reduce the risk of retrieving the loss.
The method comprises the following steps that firstly, after receiving a recovery mobile phone, a professional quality inspector operates an equipment distance sensing application program to observe the intelligent equipment distance sensing function so as to judge whether the intelligent equipment distance sensing function is abnormal; the other method is to install a detection Application program on the mobile phone, wherein the detection mechanism calls an Application Programming Interface (api) disclosed by an intelligent device manufacturing company, and a result returned by the api is used as a basis for judging whether the distance sensing function is normal or not.
However, the intelligent device often cannot install the application program in the recovery process, the calling requirement of the distance sensing api is difficult to meet, the workload of manual detection is large, and the detection result is unstable. Therefore, the traditional method for detecting whether the distance sensing function of the intelligent device is normal has some defects.
Disclosure of Invention
Therefore, it is necessary to provide a distance sensing function detection method and device for overcoming the defects of the conventional method for detecting whether the distance sensing function of the smart device is normal.
A distance sensing function detection method comprises the following steps:
obtaining a distance induction running log after the intelligent equipment to be detected is specified to operate; wherein, the appointed operation is used for operating the distance sensing equipment of the intelligent equipment to be detected;
determining each sub-log in the distance induction operation log according to the change of the designated operation;
acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result;
and performing inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected.
According to the distance sensing function detection method, after the distance sensing running log after the intelligent device to be detected is specified to operate is obtained, each sub-log in the distance sensing running log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.
In one embodiment, the process of obtaining the distance sensing operation log after the intelligent device to be detected is specified to operate includes the steps of:
and obtaining a distance induction running log obtained after the intelligent equipment to be detected is specified to operate within a preset time period.
In one embodiment, the process of obtaining the designated operation effect corresponding to each sub-log includes the steps of:
calculating the number of the sub-logs;
and outputting an analysis result when the number of the sub-logs is matched with the number of the specified operations.
In one embodiment, the method further comprises the following steps:
and when the data stream corresponding to the distance sensing operation log is empty, judging that the distance sensing function state of the intelligent device to be detected is unknown.
In one embodiment, the analysis result includes an occlusion area, an occlusion time, or an occlusion switch.
In one embodiment, the process of performing inductive feature comparison processing on the analysis result and determining the distance sensing function state of the intelligent device to be detected includes the following steps:
and judging the distance sensing function state of the intelligent equipment to be detected according to the shielding area and the specified operation.
In one embodiment, the distance sensing functional status includes a distance sensing change exception, a distance sensing reset exception, or a distance sensing normal.
A distance sensing function detecting device comprising:
the log acquisition module is used for acquiring a distance induction running log after the intelligent equipment to be detected is specified to operate; wherein, the appointed operation is used for operating the distance sensing equipment of the intelligent equipment to be detected;
the log classification module is used for determining each sub-log in the distance induction operation log according to the change of the designated operation;
the log analysis module is used for acquiring the designated operation effect corresponding to each sub-log and outputting an analysis result;
and the result judging module is used for executing inductive characteristic comparison processing on the analysis result and judging the distance sensing function state of the intelligent equipment to be detected.
After the distance induction running log after the specified operation of the intelligent device to be detected is obtained, each sub-log in the distance induction running log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.
A computer storage medium having computer instructions stored thereon, the computer instructions when executed by a processor implement the distance sensing function detection method of any of the above embodiments.
After the distance induction operation log after the specified operation of the intelligent device to be detected is obtained, each sub-log in the distance induction operation log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.
A computer device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the distance sensing function detection method according to any of the embodiments.
After the distance induction operation log after the intelligent device to be detected is specified to operate is obtained, each sub-log in the distance induction operation log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.
Drawings
FIG. 1 is a flow chart of a distance sensing function detection method according to an embodiment;
FIG. 2 is a flow chart of a distance sensing function detection method according to another embodiment;
FIG. 3 is a functional status determination diagram according to an embodiment;
FIG. 4 is a block diagram of a distance sensing function detecting device according to an embodiment;
FIG. 5 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 distance sensing function detection method is provided for the hardware detection of the intelligent device to be detected.
Fig. 1 is a flowchart illustrating a distance sensing function detecting method according to an embodiment, and as shown in fig. 1, the distance sensing function detecting method according to an embodiment includes steps S100 to S103:
s100, obtaining a distance induction running log after the intelligent equipment to be detected is specified to operate; wherein, the appointed operation is used for operating the distance sensing equipment of the intelligent equipment to be detected;
and the appointed operation is used for operating and triggering the distance sensing equipment of the intelligent equipment to be detected. The user or the third-party automatic operation device can complete various designated operations step by step according to corresponding prompts or instructions. The specified operation includes an occlusion operation, a relative displacement operation, or a switching operation of occlusion-relative displacement. And triggering the distance sensing equipment to generate a corresponding state through each item of specified operation.
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 distance sensing operation log of the intelligent device to be detected.
In one embodiment, fig. 2 is a flowchart of a distance sensing function detecting method according to another embodiment, and as shown in fig. 2, the process of acquiring a distance sensing operation log after an operation of an intelligent device to be detected is specified in step S100 includes step S200:
and S200, obtaining a distance induction running log obtained after the intelligent device to be detected is specified to operate within a preset time period.
And in a preset time period, the user or the third-party automatic operation device finishes various appointed operations, and the distance induction running log corresponding to the appointed operations exceeding the preset time period is captured and then is not subjected to subsequent corresponding data processing. Based on this, the subsequent data processing amount is reduced, and the normalization of the designated operation is facilitated.
S101, determining each sub-log in the distance induction operation log according to the change of the designated operation;
in one embodiment, changes of the distance sensing operation logs are determined according to changes of the designated operation, classification is carried out according to the changes of the distance sensing operation logs, and the sub-logs are determined according to subclasses.
In another embodiment, the classification of the distance sensing operation log may be determined according to the attributes of the smart device to be detected. Taking the intelligent device to be detected as the IOS device as an example, the distance induction operation logs are associated with the designated operation, the distance induction operation logs are classified according to the association relationship, and each sub-log is determined.
S102, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result;
wherein each sub-log corresponds to a specified operation. For example, the specified operation effect of the occlusion operation includes an occlusion area or an occlusion time, or the like; the specified operation effect of the switching operation of the occlusion-relative displacement includes a change in occlusion area, a change in occlusion time, or occlusion switching. Wherein, the occlusion switching is used for representing whether occlusion exists. Based on this, in one embodiment, the analysis result includes an occlusion area, an occlusion time, or an occlusion switch. The analysis result can be correlated with time, and the shielding area, the shielding time or the shielding switching at different times are different. And by limiting the preset time period, the change range of the shielding area, the shielding time or the shielding switching is reduced so as to reduce the subsequent detection workload.
In one embodiment, as shown in fig. 2, the process of acquiring the specified operation effect corresponding to each sub-log in step S102 includes steps S201 and S202:
s201, calculating the number of the sub-logs;
s202, when the number of the sub logs is matched with the number of the designated operations, outputting an analysis result.
The number of the sub-logs is matched with the number of the designated operations, and the number of the sub-logs is the same as the number of the designated operations, or the number of the sub-logs is larger than the number of the designated operations. Through the matching operation of the number of the sub-logs and the number of the designated operations, the influence of detection omission of the distance sensing equipment on an analysis result is prevented. And outputting an analysis result after matching to perform calculation in the subsequent steps.
In one embodiment, a matching relationship between the number of the sub-logs and the number of the designated operations can be established according to the history data of the designated operations and the effect of the designated operations, and the determination of whether the analysis result is output or not can be performed by performing matching through a fixed matching relationship. Meanwhile, related quality testing personnel can dynamically adjust the matching relation according to different types of intelligent equipment to be detected or historical data changes in different specified operation scenes.
And S103, performing inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent device to be detected.
And performing inductive characteristic comparison processing through the analysis result to obtain the representation of each analysis result. And judging the distance sensing function state of the intelligent equipment to be detected according to the representation. In one embodiment, the distance sensing functional status includes a distance sensing change exception, a distance sensing reset exception, or a distance sensing normal.
In one embodiment, a comparison threshold interval is set for the analysis result, and inductive feature comparison processing is performed. The comparison threshold interval includes an area threshold interval, a time threshold interval, and the like.
In one embodiment, as shown in fig. 2, the process of performing inductive feature comparison processing on the analysis result in step S103 to determine the distance sensing function state of the to-be-detected smart device includes step S203:
and S203, judging the distance sensing function state of the intelligent device to be detected according to the blocking area and the specified operation.
And determining the shielding area in the analysis effect, and judging the distance sensing function state of the intelligent equipment to be detected according to the association of the shielding area and the designated operation. Fig. 3 is a schematic diagram illustrating functional status determination according to an embodiment, as shown in fig. 3, when the designated operation is a shielding operation, a determination is performed on a shielding area of 0 × 200, when the shielding area does not satisfy 0 × 200, it is determined that the distance sensing change of the distance sensing device is abnormal, otherwise, it is determined that the distance sensing is normal or another determination step is performed; and when the designated operation is shielding switching, judging that the shielding area is 0 multiplied by 0, when the shielding area does not meet 0 multiplied by 0, judging that the distance sensing reset of the distance sensing equipment is abnormal, and otherwise, judging that the distance sensing is normal or executing another judging step.
In one embodiment, when the automatic terminal or the recycling machine instructs the user to perform the specified operation steps or the specified operation steps are performed by the third-party automatic operation device, the corresponding parameterization is performed on each specified operation so as to facilitate the corresponding coordination processing with the shielding area.
In one embodiment, the method further comprises the following steps:
and when the data stream corresponding to the distance sensing operation log is empty, judging that the distance sensing function state of the intelligent device to be detected is unknown.
Taking the intelligent device to be detected as an ios device as an example, the data stream corresponding to the distance sensing operation log is a log data stream, and when the log data stream is empty, the distance sensing function state of the intelligent device to be detected is determined to be unknown.
In the distance sensing function detection method in any embodiment, after the distance sensing operation log after the specified operation of the intelligent device to be detected is obtained, each sub-log in the distance sensing operation log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.
The embodiment of the invention also provides a distance sensing function detection device.
Fig. 4 is a block diagram illustrating a distance sensing function detecting apparatus according to an embodiment, and as shown in fig. 4, the distance sensing function detecting apparatus according to an embodiment includes a block 100, a block 101, a block 102, and a block 103:
the log obtaining module 100 is configured to obtain a distance sensing running log after the intelligent device to be detected is specified to operate; wherein, the appointed operation is used for operating the distance sensing equipment of the intelligent equipment to be detected;
the log classification module 101 is used for determining each sub-log in the distance induction running log according to the change of the designated operation;
the log analysis module 102 is configured to obtain an appointed operation effect corresponding to each sub-log, and output an analysis result;
and the result judging module 103 is used for executing inductive characteristic comparison processing on the analysis result and judging the distance sensing function state of the intelligent device to be detected.
After the distance induction running log after the specified operation of the intelligent device to be detected is obtained, each sub-log in the distance induction running log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment to be detected.
The embodiment of the invention also provides a computer storage medium, on which computer instructions are stored, and when the instructions are executed by a processor, the distance sensing function detection method of any one of the above 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 when the processor executes the computer program, the distance sensing function detection method in any one of the embodiments described above is implemented.
The computer device may be a terminal, and its internal structure diagram may be as shown in fig. 5. 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 distance sensing function 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 distance induction operation log after the intelligent device to be detected is specified to operate is obtained, each sub-log in the distance induction operation log is determined according to the change of the specified operation. And further, acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result. And finally, carrying out inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected. Based on this, need not to carry out a large amount of manual operations, reduce detection work load and detection time. Meanwhile, induction characteristic comparison processing is executed through the analysis result of the sub-logs, and the distance induction function of the intelligent device to be detected can be accurately detected under the condition that the calling application program of the distance induction api cannot be installed. And providing a recovery reference for the intelligent equipment 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 distance sensing function detection method is characterized by comprising the following steps:
obtaining a distance induction running log after the intelligent equipment to be detected is specified to operate; wherein the designated operation is used for operating the distance sensing equipment of the intelligent equipment to be detected;
determining each sub-log in the distance induction operation log according to the change of the designated operation;
acquiring the designated operation effect corresponding to each sub-log, and outputting an analysis result;
and performing inductive characteristic comparison processing on the analysis result, and judging the distance sensing function state of the intelligent equipment to be detected.
2. The method for detecting the distance sensing function according to claim 1, wherein the process of obtaining the distance sensing operation log after the smart device to be detected is designated to operate comprises the steps of:
and acquiring the distance induction running log of the intelligent equipment to be detected after the intelligent equipment to be detected is specified to operate within a preset time period.
3. The method for detecting a distance sensing function according to claim 1, wherein the step of obtaining the designated operation effect corresponding to each sub-log comprises the steps of:
calculating the number of the sub-logs;
and outputting an analysis result when the number of the sub-logs is matched with the number of the specified operations.
4. The distance sensing function detecting method according to claim 1, further comprising the steps of:
and when the data stream corresponding to the distance sensing operation log is empty, judging that the distance sensing function state of the intelligent device to be detected is unknown.
5. The method according to claim 1, wherein the analysis result comprises an occlusion area, an occlusion time, or an occlusion switching.
6. The distance sensing function detection method according to claim 5, wherein the process of performing inductive feature comparison processing on the analysis result and determining the distance sensing function state of the intelligent device to be detected comprises the steps of:
and judging the distance sensing function state of the intelligent equipment to be detected according to the shielding area and the specified operation.
7. The method according to claim 6, wherein the distance sensing function status includes abnormal distance sensing change, abnormal distance sensing reset, or normal distance sensing.
8. A distance sensing function detecting device, comprising:
the log acquisition module is used for acquiring a distance induction running log after the intelligent equipment to be detected is specified to operate; wherein the designated operation is used for operating the distance sensing equipment of the intelligent equipment to be detected;
the log classification module is used for determining each sub-log in the distance induction running log according to the change of the specified operation;
the log analysis module is used for acquiring the designated operation effect corresponding to each sub-log and outputting an analysis result;
and the result judging module is used for executing inductive characteristic comparison processing on the analysis result and judging the distance induction function state of the intelligent equipment to be detected.
9. A computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the distance sensing function 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 distance sensing function detecting method according to any one of claims 1 to 7.
CN202110551762.0A 2021-05-20 2021-05-20 Distance sensing function detection method and device Pending CN113254292A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110551762.0A CN113254292A (en) 2021-05-20 2021-05-20 Distance sensing function detection method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110551762.0A CN113254292A (en) 2021-05-20 2021-05-20 Distance sensing function detection method and device

Publications (1)

Publication Number Publication Date
CN113254292A true CN113254292A (en) 2021-08-13

Family

ID=77182962

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110551762.0A Pending CN113254292A (en) 2021-05-20 2021-05-20 Distance sensing function detection method and device

Country Status (1)

Country Link
CN (1) CN113254292A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11922467B2 (en) 2020-08-17 2024-03-05 ecoATM, Inc. Evaluating an electronic device using optical character recognition
US12033454B2 (en) 2021-08-16 2024-07-09 Ecoatm, Llc Kiosk for evaluating and purchasing used electronic devices

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102236526A (en) * 2011-06-23 2011-11-09 广州市动景计算机科技有限公司 Method and device for browsing page in mobile terminal and mobile terminal
CN106681906A (en) * 2016-06-24 2017-05-17 乐视控股(北京)有限公司 Method and device for detecting abnormal operation of fingerprint module and terminal device
CN111666222A (en) * 2020-07-09 2020-09-15 腾讯科技(深圳)有限公司 Test method and related device
CN111666193A (en) * 2019-03-08 2020-09-15 阿里巴巴集团控股有限公司 Method and system for monitoring and testing terminal function based on real-time log analysis
CN111667160A (en) * 2020-05-26 2020-09-15 天津奇立软件技术有限公司 Method, device, equipment and system for evaluating state of electronic equipment
CN112380181A (en) * 2020-11-10 2021-02-19 北京小米移动软件有限公司 Terminal drop detection method, device and system, electronic terminal and storage medium
CN112395118A (en) * 2020-12-08 2021-02-23 广州绿怡信息科技有限公司 Equipment data detection method and device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102236526A (en) * 2011-06-23 2011-11-09 广州市动景计算机科技有限公司 Method and device for browsing page in mobile terminal and mobile terminal
CN106681906A (en) * 2016-06-24 2017-05-17 乐视控股(北京)有限公司 Method and device for detecting abnormal operation of fingerprint module and terminal device
CN111666193A (en) * 2019-03-08 2020-09-15 阿里巴巴集团控股有限公司 Method and system for monitoring and testing terminal function based on real-time log analysis
CN111667160A (en) * 2020-05-26 2020-09-15 天津奇立软件技术有限公司 Method, device, equipment and system for evaluating state of electronic equipment
CN111666222A (en) * 2020-07-09 2020-09-15 腾讯科技(深圳)有限公司 Test method and related device
CN112380181A (en) * 2020-11-10 2021-02-19 北京小米移动软件有限公司 Terminal drop detection method, device and system, electronic terminal and storage medium
CN112395118A (en) * 2020-12-08 2021-02-23 广州绿怡信息科技有限公司 Equipment data detection method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11922467B2 (en) 2020-08-17 2024-03-05 ecoATM, Inc. Evaluating an electronic device using optical character recognition
US12033454B2 (en) 2021-08-16 2024-07-09 Ecoatm, Llc Kiosk for evaluating and purchasing used electronic devices

Similar Documents

Publication Publication Date Title
CN107783898B (en) Test method and test equipment for mobile application
CN113268162A (en) Screen replacement detection method and device
CN113238905B (en) Screen jumpiness detection method and device
CN109214178A (en) APP application malicious act detection method and device
CN112395118A (en) Equipment data detection method and device
CN110659188B (en) Page portrait data processing method and device, computer equipment and storage medium
CN113254294B (en) Equipment restarting detection method and device
CN113238680A (en) Screen touch and break detection method and device
CN113254292A (en) Distance sensing function detection method and device
WO2023108833A1 (en) Terminal anomalous behavior detection method and apparatus, device, and storage medium
CN115080972A (en) Method and device for detecting abnormal access of interface of electric mobile terminal
CN113032198A (en) Hardware detection method and device
CN113132523A (en) Call detection model training method and call detection method
CN113301202A (en) Call detection method and device
CN112907182B (en) Logistics realization method, device and system based on terminal
CN113220648A (en) Audio function detection method and device
CN113329222B (en) Camera function detection method and device
CN113254293A (en) Fingerprint function detection method and device
CN110888799B (en) Software testing method and device
CN105912211B (en) Instruction input method and device
CN113220647A (en) Vibration function detection method and device
CN113237473A (en) Compass function detection method and device
CN113488002B (en) Abnormal screen brightness adjusting method and device, electronic equipment and medium
CN113422860B (en) Method and device for detecting abnormal call
CN114371417A (en) Equipment battery health degree detection method and 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
RJ01 Rejection of invention patent application after publication

Application publication date: 20210813

RJ01 Rejection of invention patent application after publication