CN113301202A - Call detection method and device - Google Patents
Call detection method and device Download PDFInfo
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- CN113301202A CN113301202A CN202110551197.8A CN202110551197A CN113301202A CN 113301202 A CN113301202 A CN 113301202A CN 202110551197 A CN202110551197 A CN 202110551197A CN 113301202 A CN113301202 A CN 113301202A
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Abstract
The invention relates to a call detection method and a call detection device. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
Description
Technical Field
The present invention relates to the field of electronic product technologies, and in particular, to a method and an apparatus for detecting a call.
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 call quality is an important reference for determining the residual value of the intelligent device. Generally, the recovery intelligent device detects whether the call is normal. Abnormal calls 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 call is normal 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 call of the intelligent equipment is normal is mainly characterized in that a professional quality inspector captures whether the operation logs of software and hardware of the call function are reported in error in a period of time to serve as a call judgment basis; or after receiving the recovered intelligent equipment, a professional quality inspector operates the intelligent equipment to make a call and observes the call function of the intelligent equipment to judge whether the call of the intelligent equipment is abnormal. However, the situation of no output or delayed output exists in the method of capturing the operation log during recovery, so that the detection accuracy is extremely low, most of the operations after recovery cannot be used for evaluating the recovered intelligent equipment through manual operation, and only the calculation of the later gross profit is influenced, so that the purpose of detecting whether the call of the intelligent equipment is abnormal during recovery cannot be achieved. The manual call detection consumes labor, and subjective factors influence the stability and accuracy of detection results, so that the accuracy of call detection is difficult to ensure.
Therefore, the traditional call detection mode has the defects.
Disclosure of Invention
Therefore, it is necessary to provide a call detection method and device for overcoming the defects of the conventional call detection method.
A call detection method includes the steps:
controlling the intelligent equipment to be detected to make a call so as to realize conversation;
capturing a call state of intelligent equipment to be detected;
and when the call state comprises a target call state, judging that the call of the intelligent equipment to be detected is normal, otherwise, judging that the call of the intelligent equipment to be detected is abnormal.
According to the call detection method, the intelligent device to be detected is controlled to make a call, so that a call is realized, the call state of the intelligent device to be detected is captured in the call, when the call state comprises a target call state, the intelligent device to be detected is judged to be in normal call, and otherwise, the intelligent device to be detected is judged to be in abnormal call. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
In one embodiment, the process of controlling the intelligent device to be detected to make a phone call includes the following steps:
and controlling the intelligent equipment to be detected to make a call through the simulated click.
In one embodiment, the process of controlling the intelligent device to be detected to make a call through simulated clicking comprises the following steps:
and installing an application program in the intelligent device to be detected to indicate the intelligent device to be detected to finish the call dialing according to the application program.
In one embodiment, the process of capturing the call state of the smart device to be detected includes the steps of:
and capturing a corresponding device system log after the intelligent device to be detected is connected with the base station as a call state.
In one embodiment, the call state comprises a base station connection state, an on-call state and a disconnection state;
the device system log corresponding to the connection state of the base station is a connect _ log, the device system log corresponding to the in-call state is a busy _ log, and the device system log corresponding to the disconnection state is a release _ log.
In one embodiment, the target call state is an on-call state.
In one embodiment, the method further comprises the following steps:
and when the call state is not captured, judging that the call of the intelligent device to be detected is unknown.
A call detection device comprising:
the call dialing module is used for controlling the intelligent equipment to be detected to dial a call so as to realize conversation;
the state capturing module is used for capturing the call state of the intelligent equipment to be detected;
and the state detection module is used for judging that the intelligent equipment to be detected has normal conversation when the conversation state comprises a target conversation state, and otherwise, judging that the intelligent equipment to be detected has abnormal conversation.
According to the call detection device, the intelligent equipment to be detected is controlled to make a call, so that a call is realized, the call state of the intelligent equipment to be detected is captured in the call, when the call state comprises a target call state, the call of the intelligent equipment to be detected is judged to be normal, and otherwise, the call of the intelligent equipment to be detected is judged to be abnormal. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
A computer storage medium having stored thereon computer instructions which, when executed by a processor, implement the call detection method of any of the above embodiments.
The computer storage medium firstly controls the intelligent device to be detected to make a call so as to realize a call, captures the call state of the intelligent device to be detected in the call, judges that the call of the intelligent device to be detected is normal when the call state comprises a target call state, and judges that the call of the intelligent device to be detected is abnormal if not. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
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 call detection method of any of the above embodiments when executing the program.
The computer device firstly controls the intelligent device to be detected to make a call so as to realize a call, captures the call state of the intelligent device to be detected in the call, judges that the call of the intelligent device to be detected is normal when the call state comprises a target call state, and judges that the call of the intelligent device to be detected is abnormal if not. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
Drawings
FIG. 1 is a flow chart of a call detection method according to an embodiment;
FIG. 2 is a flow chart of a call detection method according to another embodiment;
FIG. 3 is a flow chart of a call detection method according to yet another embodiment;
FIG. 4 is a block diagram of a call detection 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 call detection method is provided for the hardware detection of the intelligent device to be detected.
Fig. 1 is a flowchart illustrating a call detection method according to an embodiment, and as shown in fig. 1, the call detection method according to an embodiment includes steps S100 to S102:
s100, controlling the intelligent equipment to be detected to make a call so as to realize a call;
the intelligent equipment to be detected is controlled to make a call, and the user is prompted to operate the intelligent equipment to be detected according to the steps through interaction with the user in the recovery process. The prompting steps are as follows: click on the phone icon-dial interface input 112-click on the dial button-wait for a period of time t. In one embodiment, time t comprises 10-30 seconds. In a preferred embodiment, the time t is 20 seconds.
In one embodiment, fig. 2 is a flowchart of a call detection method according to another embodiment, and as shown in fig. 2, the process of controlling the to-be-detected smart device to make a call in step S100 includes steps S200:
and S200, controlling the intelligent equipment to be detected to make a call through the simulated click.
The method comprises the following steps that simulation clicking is realized on the intelligent device to be detected, and calling is completed by clicking a screen or a key of the intelligent device to be detected through an external device carried by a recycling machine or an autonomous terminal. Or, the step of dialing the phone is realized through the internal control of the intelligent device to be detected.
In one embodiment, fig. 3 is a flowchart of a call detection method according to another embodiment, and as shown in fig. 3, the process of controlling the to-be-detected smart device to make a call in step S200 by simulating a click includes step S300:
and S300, installing an application program in the intelligent device to be detected to indicate the intelligent device to be detected to finish call dialing according to the application program.
The self-service terminal or the recovery machine can transmit application data to the intelligent device to be detected through connection with the intelligent device to be detected, an application program such as a simulated click program is installed in the intelligent device to be detected, and the intelligent device to be detected is instructed to complete call dialing according to the application program through simulated click operation of the application program.
In one embodiment, the application opens the dialing interface and enters 112 a click to dial icon to complete the call.
S101, capturing a call state of the intelligent device to be detected;
in one embodiment, the call state includes a base station connected state, an on-call state, and a disconnected state.
In one embodiment, the intelligent device to be detected is controlled to keep talking for a preset time period. Wherein the preset time period comprises 10-30 seconds. As a preferred embodiment, the predetermined time period is 20 seconds.
In one embodiment, as shown in fig. 2, the process of capturing the call state of the smart device to be detected in step S101 includes step S201:
s201, capturing a corresponding device system log after the intelligent device to be detected is connected with the base station as a call state.
When the intelligent device to be detected starts to dial a call, connection, conversation or disconnection of the base station with the nearest base station is established, and each conversation state has a corresponding device system log. In one embodiment, the device system log corresponding to the connection state of the base station is a connect _ log, the device system log corresponding to the in-call state is a busy _ log, and the device system log corresponding to the disconnection state is a release _ log.
In one embodiment, the corresponding device system log is captured by installing a log capture subroutine in the intelligent device to be detected. The log capture subroutine captures the call state within a preset time period until the preset time period is exceeded, and then ends.
S102, when the call state comprises a target call state, judging that the call of the intelligent equipment to be detected is normal, and otherwise, judging that the call of the intelligent equipment to be detected is abnormal.
And the target call state is associated with the equipment type of the intelligent equipment to be detected. In one embodiment, when the intelligent device to be detected is an ios device, the target call state is a call state, that is, when the busy _ log is captured, it is determined that the call of the intelligent device to be detected is normal, otherwise, it is determined that the call of the intelligent device to be detected is abnormal.
In one embodiment, as shown in fig. 2, a call detection method according to another embodiment further includes step S202:
s202, when the call state is not captured, judging that the call of the intelligent device to be detected is unknown.
When the call state is not captured, that is, any device system log is not captured.
The call detection method of any embodiment includes the steps of firstly controlling the intelligent device to be detected to make a call to realize a call, capturing a call state of the intelligent device to be detected in the call, judging that the call of the intelligent device to be detected is normal when the call state includes a target call state, and otherwise judging that the call of the intelligent device to be detected is abnormal. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
The embodiment of the invention also provides a call detection device.
Fig. 4 is a block diagram of a call detection device according to an embodiment, and as shown in fig. 4, the call detection device according to an embodiment includes a module 100, a module 101, and a module 102:
a call dialing module 100, configured to control the to-be-detected intelligent device to dial a call, so as to implement a call;
the state capturing module 101 is used for capturing the call state of the intelligent device to be detected;
the state detection module 102 is configured to determine that the call of the intelligent device to be detected is normal when the call state includes a target call state, and otherwise determine that the call of the intelligent device to be detected is abnormal.
According to the call detection device, the intelligent equipment to be detected is controlled to make a call, so that a call is realized, the call state of the intelligent equipment to be detected is captured in the call, when the call state comprises a target call state, the call of the intelligent equipment to be detected is judged to be normal, and otherwise, the call of the intelligent equipment to be detected is judged to be abnormal. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
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 call detection method of any one of the above embodiments.
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 call detection methods in the embodiments.
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 call 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.
The computer equipment firstly controls the intelligent equipment to be detected to make a call so as to realize a call, captures the call state of the intelligent equipment to be detected in the call, judges that the call of the intelligent equipment to be detected is normal when the call state comprises a target call state, and judges that the call of the intelligent equipment to be detected is abnormal if not. Based on the method, the call state triggering condition is actively created by triggering the call state of the call module of the intelligent device to be detected, and the method is more effective than the existing passive silence waiting log, so that the stability and the accuracy of call detection are improved, and meanwhile, the detection workload is effectively reduced.
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 call detection method is characterized by comprising the following steps:
controlling the intelligent equipment to be detected to make a call so as to realize conversation;
capturing the call state of the intelligent equipment to be detected;
and when the call state comprises a target call state, judging that the call of the intelligent equipment to be detected is normal, otherwise, judging that the call of the intelligent equipment to be detected is abnormal.
2. The call detection method according to claim 1, wherein the process of controlling the intelligent device to be detected to make a call comprises the steps of:
and controlling the intelligent equipment to be detected to make a call through the simulated click.
3. The call detection method according to claim 2, wherein the process of controlling the intelligent device to be detected to make a call by simulating a click comprises the steps of:
and installing an application program in the intelligent equipment to be detected to indicate the intelligent equipment to be detected to finish the call dialing according to the application program.
4. The call detection method according to claim 1, wherein the process of capturing the call state of the intelligent device to be detected comprises the steps of:
and capturing a corresponding device system log after the intelligent device to be detected is connected with the base station as the call state.
5. The call detection method according to any one of claims 1 to 4, wherein the call state includes a base station connection state, an in-call state, and a disconnection state;
the device system log corresponding to the base station connection state is a connect _ log, the device system log corresponding to the in-call state is a busy _ log, and the device system log corresponding to the disconnection state is a release _ log.
6. The call detection method according to claim 5, wherein the target call state is the in-call state.
7. The call detection method according to any one of claims 1 to 4, further comprising the steps of:
and when the call state is not captured, judging that the call of the intelligent equipment to be detected is unknown.
8. A call detection device, comprising:
the call dialing module is used for controlling the intelligent equipment to be detected to dial a call so as to realize conversation;
the state capturing module is used for capturing the call state of the intelligent equipment to be detected;
and the state detection module is used for judging that the intelligent equipment to be detected has normal conversation when the conversation state comprises a target conversation state, and otherwise, judging that the intelligent equipment to be detected has abnormal conversation.
9. A computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the call 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 a call detection method as claimed in any one of claims 1 to 7.
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| CN202110551197.8A CN113301202A (en) | 2021-05-20 | 2021-05-20 | Call detection method and device |
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| CN202110551197.8A CN113301202A (en) | 2021-05-20 | 2021-05-20 | Call detection method and device |
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| CN113422860A (en) * | 2021-06-22 | 2021-09-21 | 广州绿怡信息科技有限公司 | Call abnormity detection method and device |
| 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 |
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